RESEARCH ARTICLE Early prevention of diabetes microvascular complications in people with hyperglycaemia in Europe. ePREDICE randomized trial. Study protocol, recruitment and selected baseline data Rafael GabrielID1,2☯*, Nisa Boukichou AbdelkaderID3,4☯, Tania AcostaID3,5☯, Aleksandra Gilis-Januszewska6‡, Ricardo Go´mez-Huelgas7‡, Konstantinos Makrilakis8‡, Zdravko Kamenov9‡, Bernhard Paulweber10‡, Ilhan Satman11‡, Predrag Djordjevic12‡, Abdullah AlkandariID13‡, Asimina Mitrakou14‡, Nebojsa Lalic15‡, Stephen Colagiuri16‡, Jaana Lindstro¨m17‡, Jesu´s Egido18‡, Andrea Natali19‡, J. Carlos Pastor20‡, Yvonne Teuschl21‡, Marcus Lind22‡, Luis Silva3‡, Ruy Lo´pez-Ridaura23‡, Jaakko Tuomilehto1,2,17,24,25☯, On behalf of the e-PREDICE Consortium¶ 1 Departamento de Salud Internacional, Escuela Nacional de Sanidad, Instituto de Salud Carlos III, Madrid, Spain, 2 World Community for Prevention of Diabetes Foundation (WCPD), Madrid, Spain, 3 EVIDEM CONSULTORES, Madrid, Spain, 4 Asociacio´n para la Investigacio´n y Prevencio´n de la Diabetes y Enfermedades Cardiovasculares (PREDICOR), Madrid, Spain, 5 Department of Public Health. Universidad del Norte, Barranquilla, Colombia, 6 Uniwersytet Jagiellonski, Collegium Medicum, Krakow, Poland, 7 Fundacio´n FIMABIS. Servicio Andaluz de Salud (SAS), Malaga, Spain, 8 National and Kapodistrian University of Athens, Athens, Greece, 9 University Multi-Profile Hospital for Active Treatment Alexandrovska EAD, Sofia, Bulgaria, 10 Gemeinnuetzige Salzburger Landeskliniken Betriebsgesellschaft, (SALK) Salzburg, Austria, 11 Istanbul University, Istanbul, Turkey, 12 General Hospital Medical System Beograd—MSB Belgrade Serbia, Beograd, Serbia, 13 Dasman Diabetes Research Institute, Kuwait, Kuwait, 14 Alexandra Hospital, University of Athens, Athens, Greece, 15 Faculty of Medicine, University of Belgrade, Belgrade, Serbia, 16 The University of Sydney, Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, Sydney, Australia, 17 National Institute for Health and Welfare, Helsinki, Finland, 18 Renal, Vascular and Diabetes Research Laboratory, Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Instituto de Investigacio´n Sanitaria Fundacio´n Jime´nez Dı´az, Universidad Auto´noma, Madrid, Spain, 19 Department of Internal Medicine, Universita di Pisa, Pisa, Italy, 20 Instituto Universitario de Oftalmobiologı´a Aplicada(IOBA), Universidad de Valladolid, Hospital Clı´nico Universitario, Valladolid, Spain, 21 Department for Clinical Neurosciences and Preventive Medicine, Danube University Krems, Krems, Austria, 22 Va¨stra Go¨talands La¨ns Landsting, Gothenburg, Sweden, 23 Instituto Nacional de Salud Pu´bica, Cuernavaca, Me´xico, 24 University of Helsinki, Helsinki, Finland, 25 King Abdulaziz University, Jeddah, Saudi Arabia ☯ These authors contributed equally to this work. ‡ These authors also contributed equally to this work. ¶ Membership of the e-PREDICE Study Consortium is provided in the Acknowledgments. * rgabriel@ceiis.org Abstract Objectives To assess the effects of early management of hyperglycaemia with antidiabetic drugs plus lifestyle intervention compared with lifestyle alone, on microvascular function in adults with pre-diabetes. PLOS ONE PLOS ONE | https://doi.org/10.1371/journal.pone.0231196 April 13, 2020 1 / 23 a1111111111 a1111111111 a1111111111 a1111111111 a1111111111 OPEN ACCESS Citation: Gabriel R, Boukichou Abdelkader N, Acosta T, Gilis-Januszewska A, Go´mez-Huelgas R, Makrilakis K, et al. (2020) Early prevention of diabetes microvascular complications in people with hyperglycaemia in Europe. ePREDICE randomized trial. Study protocol, recruitment and selected baseline data. PLoS ONE 15(4): e0231196. https://doi.org/10.1371/journal. pone.0231196 Editor: Shahrad Taheri, Weill Cornell Medical College in Qatar, QATAR Received: May 9, 2019 Accepted: March 14, 2020 Published: April 13, 2020 Copyright: © 2020 Gabriel et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Data Availability Statement: The clinical trial is currently ongoing, patients and data are being managed in a masked fashion. Data cannot be made publicly available since data would compromise confidentialty and might reveal identity or location of participants. Additionaly, public availability of data would be in violation of the Spanish Organic Law 15/1999 of protection of personal data (consolidated text 5/3/2011) and the Methods Trial design: International, multicenter, randomised, partially double-blind, placebo-con- trolled, clinical trial. Participants Males and females aged 45–74 years with IFG, IGT or IFG+IGT, recruited from primary care centres in Australia, Austria, Bulgaria, Greece, Kuwait, Poland, Serbia, Spain and Turkey. Intervention Participants were randomized to placebo; metformin 1.700 mg/day; linagliptin 5 mg/day or fixed-dose combination of linagliptin/metformin. All patients were enrolled in a lifestyle inter- vention program (diet and physical activity). Drug intervention will last 2 years. Primary Out- come: composite end-point of diabetic retinopathy estimated by the Early Treatment Diabetic Retinopathy Study Score, urinary albumin to creatinine ratio, and skin conductance in feet estimated by the sudomotor index. Secondary outcomes in a subsample include insu- lin sensitivity, beta-cell function, biomarkers of inflammation and fatty liver disease, quality of life, cognitive function, depressive symptoms and endothelial function. Results One thousand three hundred ninety one individuals with hyperglycaemia were assessed for eligibility, 424 excluded after screening, 967 allocated to placebo, metformin, linagliptin or to fixed-dose combination of metformin + linagliptin. A total of 809 people (91.1%) accepted and initiated the assigned treatment. Study sample after randomization was well balanced among the four groups. No statistical differences for the main risk factors analysed were observed between those accepting or rejecting treatment initiation. At baseline prevalence of diabetic retinopathy was 4.2%, severe neuropathy 5.3% and nephropathy 5.7%. Conclusions ePREDICE is the first -randomized clinical trial with the aim to assess effects of different interventions (lifestyle and pharmacological) on microvascular function in people with pre- diabetes. The trial will provide novel data on lifestyle modification combined with glucose lowering drugs for the prevention of early microvascular complications and diabetes. Registration - ClinicalTrials.Gov Identifier: NCT03222765 - EUDRACT Registry Number: 2013-000418-39 Introduction The World Health Organization (WHO) defines ‘Intermediate hyperglycaemia’ (pre-diabetes) as 2 h post 75 g oral glucose tolerance test (OGTT) plasma glucose (2h PG) levels of 7.8–11.0 mmol/l (Impaired Glucose Tolerance–IGT-) or fasting plasma glucose (FPG) of 6.1–6.9 PLOS ONE Lifestyle and drug intervention for prevention of microvascular complications in pre-diabetes - ePREDICE. PLOS ONE | https://doi.org/10.1371/journal.pone.0231196 April 13, 2020 2 / 23 European Law (EU) 2016/679 from European Parlament and European Council of 27 of April 2016 about Data Protection (RGPD). The data Access Committee of Consejerı´a de Sanidad de la Comunidad de Madrid” address: c/Plaza Carlos Trı´as Bertra´n n˚7 (Edif. Sollube) Madrid 28020; (protecciondedatos.sanidad@madrid.org) could consider those request that do not involve any conflict with these legal regulations. Any acceptable request will be processed and alsoevaluated by the ePREDICE Steering Committee. Funding: All the funding or sources of support received during this specific study: - European Commission, FP7 EC-GA No. 279074 - Merck- Serono, Germany - Boeringher Ingelheim, Germany (IIS Program. Grant number 1218.166) - Instituto de Salud Carlos III, Spain PI11/01653 The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing interests: the authors received funding from Merck Serono GmbH and Boehringer Ingelheim. This does not alter our adherence to all the PLOS ONE policies on sharing data and materials. mmol/l with 2 h PG <7.8 mmol/l (Impaired Fasting Glucose–IFG-) [1]. Progression towards manifest diabetes type 2 (T2D) approximate ranges between 5 and 10% per year: 4–6% for iso- lated IGT; and 6–9% for IFG plus IGT [2–4]. People with pre-diabetes have a significantly increased risk for microvascular disease: nephropathy, neuropathy, retinopathy, as well as macrovascular disease and mortality [5–11]. In addition, it has been shown that people with pre-diabetes have generalized microvascular dysfunction and sequelae representing end-organ damage typical of diabetes [12]. Based on such evidence it can be proposed that the definition of pre-diabetes should not only be cen- tered on glucose abnormalities, but should incorporate also the microvascular involvement among its criteria [13, 14]. A recent meta-analysis of published clinical trials on the prevention of T2D have showed the benefits of lifestyle intervention in delaying the onset of T2D in patients with pre-diabetes [15]. In addition, several antidiabetic drugs such as acarbose, metformin, rosiglitazone, piogli- tazone and liraglutide have shown benefit for prevention of diabetes in pre-diabetic individuals [16–20]. However, the evidence for the prevention of microvascular complications in people with pre-diabetes is scarce. Few prevention trials have evaluated the potential benefits of life- style or drug treatment on microvascular complications in pre-diabetes. Clinical evidence regarding the microvascular benefit of lifestyle or metformin in prediabetes was inconclusive in the DPP [21]. Recently, the Carmelina study has shown preliminary evidence on the benefits of linagliptin for prevention of microvascular impairment in type 2 diabetes [22]. To our knowledge thus far no trial has explored the extent to which microvascular function can be preserved, and hence complications prevented, when combining lifestyle interventions with early pharmacological treatment in people with pre-diabetes. The specific aim of the ePREDICE trial is to assess the effects of early intensive management of hyperglycaemia with linagliptin, metformin or their combination, added to lifestyle intervention, compared with lifestyle intervention alone, on microvascular impairment (retinal, renal and peripheral nerves) in adults with pre-diabetes. This paper describes the study design, enrolment, and basic demographic, epidemiological and clinical characteristics of participants at baseline. Material and methods Study design ePREDICE is a multicenter, International, independent, randomized, double-blind, placebo- controlled, clinical trial. Participants are randomised with equal probability to four parallel study arms: placebo, metformin, linagliptin, and fixed-dose combination of linagliptin/metfor- min. Lifestyle intervention (diet and physical activity) is delivered to all patients. The active intervention will last for 2 years and patients will be followed-up during an additional observa- tional period of one year. Study population Inclusion criteria. People with pre-diabetes selected from several clinical centers in Aus- tralia, Austria, Bulgaria, Greece, Kuwait, Poland, Serbia, Spain and Turkey. Men and women aged 45–74 years with IFG: FPG 6.1 to 6.9mmol/l and OGTT 2h PG: <7.8mmol/L; or IGT: FPG <7.0mmol/L and OGTT 2h PG>_7.8 and<11.1mmol/L) or both conditions together. Exclusion criteria. Type 1 diabetes; known or screen-detected T2D; use of any antidiabetic drug within the 3 months prior to inclusion, any previous cardiovascular event, stroke or revascularization procedure of any arterial territory; morbid obesity (Body Max Index>45); current renal replacement therapy; renal function impairment: estimated glomerular filtration PLOS ONE Lifestyle and drug intervention for prevention of microvascular complications in pre-diabetes - ePREDICE. PLOS ONE | https://doi.org/10.1371/journal.pone.0231196 April 13, 2020 3 / 23 rate (eGFR<60 ml/min/1.73m2); diagnosis of liver cirrhosis or chronic hepatitis; previous diagnosis of acute or chronic pancreatitis; elevation of pancreatic enzymes (amylase/Lipase) >3 times of the upper normal ranges; diagnosis of chronic heart failure (NYHA class III or higher); organ transplantation or waiting for organ transplantation; diagnosis of malignant neoplasm requiring chemotherapy, surgery, radiation or palliative therapy or end-stage or metastatic cancer; known hypersensitivity to trial products or related products; known use of non-prescribed narcotics or illicit drugs; simultaneous participation in any other clinical trial of an investigational agent; females of childbearing potential who are pregnant, breast-feeding or intend to become pregnant; dementia, mental disorder or evident cognitive impairment; unable to give written informed consent; chronic institutionalization (nursing/mental health home, hospital, prison) conditions impeding retinal assessment as cataract, ocular surgery in the previous month, concomitant intraocular treatment (retina or choroid), tropicamide allergy; complete amputation of one/ both hands or one/both feet and any other circumstance that in the investigator opinion could interfere with the trial initiation, visit schedules or procedures. Primary endpoint Two-year change in the microvascular Index, defined as a linear combination of three vari- ables: the retinal “Early Treatment of Diabetic Retinopathy Study (ETDRS) score, the urinary albumin to creatinine ratio (UACR) and the sudomotor index using the SUDOSCAN1 device. Secondary endpoints Incidence of diabetes; quality of life, cognitive function, depressive symptoms, fatty liver index, insulin sensitivity, beta-cell function, and biomarkers of inflammation and endothelial dys- function in a subsample of participants. Safety endpoints Incidence of serious adverse events (SAE) and incidence of adverse events of special interest related to specific drug treatment as hypoglycaemic episodes, neoplasms and pancreatitis. Intervention groups Placebo (matched to linagliptin) twice a day plus lifestyle modification; metformin 1700 mg/ day plus lifestyle modification; linagliptin 5 mg/day plus lifestyle modification; and fixed-dose combination of linagliptin 5 mg/day and metformin 1,700 mg/day plus lifestyle modification. Lifestyle intervention All randomized patients, regardless of drug treatment, receive similar lifestyle intervention program, aimed at promoting several lifestyle habits simultaneously. The lifestyle intervention program contains informative as well as behavioural and motivational modules and consists of two individual -sessions and 12 group sessions (up to 15 participants per session). The pro- gram follows the process model for supporting lifestyle behaviour changes proposed by the EU-funded IMAGE project (http://www.image-project.eu/). Group-sessions are repeated every month during the first six months of the trial, and thereafter every three months. Indi- vidual sessions last for one hour and group sessions 1, 5 hours. The lifestyle goals are based on those of the Finnish Diabetes Prevention Study translated into food intake [23]. The informa- tive modules of nutrition and physical activity encourage participants to increase consumption PLOS ONE Lifestyle and drug intervention for prevention of microvascular complications in pre-diabetes - ePREDICE. PLOS ONE | https://doi.org/10.1371/journal.pone.0231196 April 13, 2020 4 / 23 of vegetables, fruits and berries, legumes, whole-grain cereal, vegetable sources of fat and pro- tein (nuts, legumes), olive or rapeseed oil, and fish over unhealthy food choices such as fast food, refined grains and sweet treats. The dietary intervention has been culturally adjusted to local conditions and food supply while retaining the same goals. Optionally, based on local centre resources, physical activity intervention was delivered by group coaching (two sessions per week starting at month-3), and facilitate access to local gyms and sport clubs; otherwise physical activity is strongly emphasized during the group sessions. The intervention is deliv- ered by staff nurses or nutritionists or “coachers” previously trained by experts. Sample size Since there is no published data on the efficacy of pharmacological treatment compared with lifestyle intervention to reduce microvascular dysfunction in pre-diabetes, the sample size esti- mation was challenging. We used feet skin conductance sudomotor index (ESC), a proxy of early peripheral neuropathy measured with the SUDOSCAN device to detect changes in small fibres of peripheral nerves earlier than the occurrence of clinical neuropathy, which takes a long time to develop [24]. SUDOSCAN calculates feet ESC automatically, without the influence of observer bias. The cardiovascular autonomic neuropathy risk score is derived from feet ESC values adjusted for age and Body Max Index. For sample size and power calculation we used 1-year changes in SUDOSCAN parameters collected in a previous pilot intervention study in pre-diabetic patients (data not published).Sample size and power calculations were performed with the vali- dated public statistical software GRANMO, version 7.0 (https://www.imim.cat/ ofertadeserveis/software-public/granmo/). Based on a pilot study, we considered the most unfavourable outcome result as an absolute difference between drug and lifestyle intervention of 1.8 units in ESC, a common standard deviation of 12.1 in the whole population, follow-up dropout rate of 25%, correlation between two SUDOSCAN measurements 0.80, size ratio lifestyle alone group /drug group 1:3, two- sided test alpha risk 0.05, and beta risk 0.20. Using all these assumptions, the total calculated sample size is 896 individuals (224 individuals per arm). The statistical power of this sample to detect significant difference between lifestyle intervention alone and the three drug arms together for SUDOSCAN-ESC is 82%. Randomization procedure Randomization was centralized and stratified by center with permuted block within each cen- tre to ensure balance between treatment overtime and within centres. People were equally allo- cated to any of the four 4 different groups (p = 0.25). The design of the study was partially double-blinded, only between one of the active drug arms (linagliptin only) and the placebo arm, and single-blinded (only for the patient) for the arm with metformin alone and the fixed combination of metformin/linagliptin. Given the partially blinded design, we randomly varied block sizes to avoid predictability of treatment assignment and selection bias. A specific web- based, central, independent, randomization tool under OpenClinica1 software was used for randomization. Random blocks were allocated to each centre as needed (dynamic allocation of blocks). The coordinating centre (EVIDEM) centrally generated the random allocation sequence and assigned participants to each intervention. Each clinical centre enrolled partici- pants centrally assigned to each treatment group. Several possible situations were foreseen in advance for randomization code breaking (unmasking): a) end of experimental treatment at month 24thof trial initiation; b) need of res- cue therapy during follow-up if average of HbA1c>6.5% or fasting glucose�7.0 mmol/l or 2h PLOS ONE Lifestyle and drug intervention for prevention of microvascular complications in pre-diabetes - ePREDICE. PLOS ONE | https://doi.org/10.1371/journal.pone.0231196 April 13, 2020 5 / 23 post load glucose�11.1 mmol/l in two consecutive study visits; c) any serious adverse event (SAEs); d) voluntary drug discontinuation and/or withdrawn of the participant from the trial; and e) pregnancy in a female participant during the trial. Despite of unmasking or drug dis- continuation, lifestyle intervention and outcome assessments are carried out as originally planned (intention to treat). Study procedures Assessment of primary outcomes. Diabetic Retinopathy is graded according to the final ETDRS scale using digital fundus photographs. The photograph´s protocol was the one vali- dated by the Joslin Vision Network (3 pictures covering posterior pole) performed under mydriasis with tropicamide, and carried out by certified photographers. Retinal images were sent to the reading centre at the IOBA (Eye Institute) of the University of Valladolid, Spain, and graded by trained ophthalmologists who were blinded to the participant´s treatment group assigned. Retinal findings were graded using the ETDRS [25]. Detection of distal small fiber nerve impairment was done measuring the peripheral nerve conductance by the proxy sudomotor function with the SUDOSCAN device, a non-invasive quantitative method based on the electrochemical reaction between sweat chlorides and stain- less-steel electrodes in contact with the palm of the hands and soles of the feet. Results of nerve conductance are given in micro-siemens (μS) for hands and feet. SUDOSCAN can detect distal small fibre polyneuropathy with a sensitivity of>75%. The SUDOSCAN method has been val- idated for the detection of sudomotor dysfunction [24–26]. Early diabetic peripheral neuropa- thy is defined as a reduction of>1SD in the conductance values between two measurements. Urine albumin and creatinine levels are measured from spot urine samples in the central laboratory Fundacio´n Jime´nez Dı´az, Madrid. Microalbuminuria is defined as UACR of�30 mg/g; Clinical albuminuria is defined as UACR�300 mg/g. Glomerular filtration rate is esti- mated by the Modification of Diet in Renal Disease (MDRD-4) Study equation, and by the Chronic Kidney Disease Epidemiological Collaboration (CKD-EPI) equation [27]. The primary composite microvascular complication index is calculated using a linear com- bination of the ETDRS score, the level of urinary albumin to creatinine ratio, and the SUDOS- CAN index. Assessment of secondary endpoints. Self-perceived quality of life with the EQ-5D-5L instrument; symptoms of neuropathy are measured with the Michigan Neuropathy Screening Instrument; symptoms of depression are recorded with the Hamilton Rating Scale for Depres- sion (HAM-D) and the Mini-International Neuropsychiatric Interview (MINI) [28–31]. Cog- nitive function is measured with the Montreal Cognitive Assessment (MOCA), Trail making test A and B and Digit-Span forward and backward [32, 33]. Insulin secretion rates and β-cell glucose sensitivity are estimated by the slope of the insulin secretion/plasma glucose dose-response by C-peptide deconvolution by OGTT modelling [34]. Finally, in a random subsample of participants, the endothelial function with the Endo- PAT1device, and novel biomarkers related to inflammation, microvascular function and non- alcoholic fatty liver disease (NAFLD) will be also measured [35,36]. In addition to outcome assessment, at baseline each participant undergone a complete medical interview, a physical activity assessment with the RPAQ questionnaire, and dietary habits assessment with a food frequency questionnaire combining questions from two vali- dated questionnaire [37–39]. Physical examination included body weight measurement (0.1 kg precision with calibrated balance) and height (0.5 cm scale precision) in light indoor clothing without shoes; heart rate was measured during one minute and blood pressure recorded twice with a mercury PLOS ONE Lifestyle and drug intervention for prevention of microvascular complications in pre-diabetes - ePREDICE. PLOS ONE | https://doi.org/10.1371/journal.pone.0231196 April 13, 2020 6 / 23 sphygmomanometer in both seated and standing position; waist and hip circumferences were measured with a plastic tape (0.1 cm precision). Biochemical determinations included an oral glucose tolerance test (OGTT) carried out according to the WHO recommendations. A 300 ml test solution containing 75g of anhydrous glucose and 1.6 g of citric acid was used. The OGTT started after 12 hours of fasting. Venous blood samples were obtained after the ingestion of the glucose solution at min 0, 30, 60, 90 and 120. Samples were drawn into fluoridated tubes and centrifuged within 30 minutes. Plasma glucose is determined locally in all samples with the HEMOCUE1 system. The aliquot sam- ples from all point-time OGTT were shipped to the central laboratory for insulin and c-peptide assays. Also HbA1c, serum total cholesterol (T-C), high-density lipoprotein (HDL-C), triglyc- erides (TG), low density lipoprotein (LDL-C), AST, ALT, GGT, ALP, amylase, serum creati- nine and uric acid concentrations were determined by usual standard methods at each local laboratory. Complete assessments are repeated at month 24th. The protocol is available at www.epredice.eu and registred at https://clinicaltrials.gov/ct2/ show/NCT03222765. For data entry and quality control, a specific web-based system under open-source software Open Clinica1 was developed (https://community.openclinica.com). Statistical analysis This paper provides data on the screening, randomization and intention-to-treat processes. Baseline descriptive results are only provided for people randomized and who accepted the treatment assigned. The only comparative data provided are between the whole group of patients who initiated treatment and those who refused to participate. Comparisons by treat- ment arm are not provided in order to preserve randomization concealment, as the trial is still ongoing. For this specific paper only descriptive statistics (mean, SD, percentages and 95%CI) are reported. Comparisons between randomised & treated vs randomised & not-treated, after randomization were done with the t-test for two independent samples and for comparisons of proportions were done with the Pearson Chi-Squared test. Blinding of the randomised treat- ments are maintained until the final database is closed and released for statistical analyses, after all participants have completed the 24-month visit or have earlier discontinued study therapy. No analyses of unmasked or between-group data will be performed before the database is closed or released. All statistical analyses are performed by an independent statistics group. Analysis of efficacy will be done both by intention-to treat (as randomised), and per protocol. The primary analysis will compare complications in all three antidiabetic therapies com- bined (metformin, linagliptin, and linagliptin with metformin), to complications in the life- style only arm, to see whether further glucose lowering in the prediabetic state by antidiabetic therapies reduces diabetic complications. It will also assess whether any of the active pharma- cologic therapies separately has a superior effect compared to lifestyle intervention. Analysis will be performed using Mann-Whitney U-test (two-sided, significance level 0.05) or alternatively analysis of covariance (ANCOVA) in case adjustment for baseline variables is required between the 3 active arms combined and the lifestyle arm. The analyses will be per- formed on the intention to treat basis, with adjustments for baseline variables significantly dif- fering between the groups and significantly related to the outcome variable. An independent external Data Safety and Monitoring Committee (DSMC) was constituted to oversee safety and to perform ongoing safety surveillance at pre-defined time points. The DSMC evaluates all relevant safety information received, and has access to un-blinded data. SAEs are assessed and classified by the DSMC. SAEs will be then encoded using the Medical Dictionary for Regulatory Activities (Med DRA version 12.1) system. All SAEs are collected, assessed and recorded by the local investigator as to the severity, possible relationship to the PLOS ONE Lifestyle and drug intervention for prevention of microvascular complications in pre-diabetes - ePREDICE. PLOS ONE | https://doi.org/10.1371/journal.pone.0231196 April 13, 2020 7 / 23 study medication and onset. This includes laboratory abnormalities, if considered an SAE by the investigator. All SAEs will be tabulated in the statistical report as total, by severity adverse events and if related to the study medication. Ethical issues Prior to any trial-related activity, the investigators gave verbal and written information about the trial in a form that the participant could read and understand. A voluntary, personally dated written informed consent form was signed by all study participants, prior to any trial- related activity was started (form attached). The informed consent sheet complied with the applicable regulatory European medical agency requirements, and adheres with the Interna- tional Good Clinical Practice Guidelines, and the Helsinki Declaration. The trial was registered in EUDRA-CT (ID 2013-000418-39) before the first patient was recruited and after in the ClinicalTrials.gov (ID: NCT03222765). The main reasons for delay in registering this study was Stopped during more than one year because financial problems and bureaucracies with the EU. The participating clinical centres entered the study at different times. At the very beginning the trial was only initiated in Spain. At this stage we were unable to predict if the trial would stay only as a pilot trial, and how many of participating centres identified in the EU proposal would be able to overcome these financial and administrative barriers. During this process the coordinating centre and the CRO changed two times, 4 part- ners withdrew the European Consortium, one of the drug companies compromised to donate medication withdrew the consortium, and the EU delayed the funds during more than one year and a half until all administrative local problems described were overcome. So we decided do not register the trial in clinicaltrials.gov until we were sure the trial will continue, avoiding early removal, continuous changes in the registration process, and unnecessary works. The authors confirm that all ongoing and related trials for this drug/intervention are registered. The clinical trial is currently ongoing, patients and data are being managed in a masked fashion. Data cannot be made publicly available since data would compromise confidentialty and might reveal identity or location of participants. Additionaly, public availability of data would be in violation of the Spanish Organic Law 15/1999 of protection of personal data (con- solidated text 5/3/2011) and the European Law (EU) 2016/679 from European Parlament and European Council of 27 of April 2016 about Data Protection (RGPD). The trial protocol was approved by all national Medicine Agencies and local ethic commit- tees of participating centres: • Comite´ E´tico de Investigacio´n Clı´nica del Hospital Universitario La Paz, Madrid, Spain. Approval No. 3850 (01/02/2013). • Hellenic Republic Ministry of Health National Ethics Committee, Greece. Approval No. 74/ 00-01/14 (15/12/2014). • The Dean office, Istanbul Medical Faculty Ethical Board for Clinical Trials, Turkey.-pproval No. 2014/495 (10/04/2014). • Etickog Odbora. Beograd, Republike Srbije, Serbia. Appoval No. 61/1 (06/04/2013). • Ethics Committee of the Faculty of Medicine, University of Belgrade, Serbia. Approval No. 29/III-10(07/03/2013). • Komisji Bioetycznej UJ (Uniwersytetu Jagiellonskiego), Poland. Appoval No. BET/185/L/ 2014(26/06/2014). PLOS ONE Lifestyle and drug intervention for prevention of microvascular complications in pre-diabetes - ePREDICE. PLOS ONE | https://doi.org/10.1371/journal.pone.0231196 April 13, 2020 8 / 23 • Executive Officer of Ethics Review Committee (RPAH) & Human Research Ethics Commit- tee (HREC), Australia. Approval No. X13-0046 & HREC/13/RPAH/65 (12/03/2014). • комисия по етика "Александровска" ЕАД София, България, Bulgaria. Approval No. KИ- 213/18.03.15 (18/03/2015). • Die Ethikkommission fu¨r das Bundesland Salzburg. "Landeskrankenhaus Salzburg- • Universita¨tsklinikum der PMU, Universita¨tsklinik fu¨r Innere Medizin I", Austria. Approval No. 415-E/1649/10-2014 (08/07/2014). All study participants gave their written informed consent prior to the participation in the study. The data Access Committee of Consejerı´a de Sanidad de la Comunidad de Madrid”ad- dress: c/Plaza Carlos Trı´as Bertra´n n˚7 (Edif. Sollube) Madrid 28020; (protecciondedatos.sani- dad@madrid.org) could consider those request that do not involve any conflict with these legal regulations. Any acceptable request will be processed and alsoevaluated by the ePREDICE Steering Committee. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Results Enrolment of the first patient first visit was on March 12, 2015, and the last patient first visit was done on July 18, 2018 and the central database closed for this specific analysis. Recruit- ment and clinical follow-up is still ongoing. Fig 1 shows the study population flow-diagram. One thousand three hundred ninety one potentially eligible adult individuals were screened using the standard OGTT; 424 (30.5%) were excluded after screening: 318 (75%) out of them because did not meet the inclusion crite- ria; 93 (21.9%) declined to sign the informed consent and 13 patients (3.1%) because other rea- sons. Nine hundred and sixty seven patients (69.5% of those screened) were randomized (ITT population) and 809 out of them (83.7%) started the assigned treatment. The flow-chart shows also the number of patients initially allocated to each treatment group, and the number of those who accepted and started the assigned treatment by study group as by July 18, 2018. The 92 randomized participants finally not included were allocated as follow: 27 to group 1; 24 to group 2; 20 to group 3 and 21 to group 4. But the new flow-chart the 79 randomized partici- pants finally not included were allocated as follow: 25 to group 1; 20 to group 2; 17 to group 3 and 17 to group 4. The sample was quite well balanced among all four groups, and no statistical differences were observed in the allocation rate. The study is ongoing. Table 1 shows the number and percentage of enrolled participants by centre by July 18, 2018. In Madrid, Spain a total of 323 were randomized and started treatment (39.9% of the total final sample). The corresponding number of people randomized and treated by center was 124 (15.3%) in Krakow, Poland; 84 (10.4%) in Malaga, Spain; 67 (8.3%) in Athens (NK), Greece; 76 (9.4%) in Sofia, Bulgaria; 55 (6.8%) in Salzburg, Austria; 36 (4.4%) in Istanbul, Tur- key; 44 (5.4%) in Belgrade (MSB), Serbia; Ongoing (NA) in Kuwait; Ongoing (NA) in Athens (AH), Greece; Ongoing (NA) in Belgrade (UB), Serbia and Ongoing (NA) in Sydney, Australia. Table 2 shows preliminary data and compares means and standard deviations for key demographic characteristics and major cardio-metabolic risk factors between people random- ized who started treatment (n = 809), and those randomized who did not started treatment (n = 79). No statistical differences were observed between the two groups for any of the vari- ables analysed. PLOS ONE Lifestyle and drug intervention for prevention of microvascular complications in pre-diabetes - ePREDICE. PLOS ONE | https://doi.org/10.1371/journal.pone.0231196 April 13, 2020 9 / 23 Table 3 shows preliminary data the percentages of relevant clinical abnormalities at base- line. Thirty four people (4.2%) shown DR>14 according to ETDRS; 43 people (5.3%) had severe peripheral neuropathy according to SUDOSCAN criteria (feet ESC<50 μS or hand ESC<40 μS), and 46 people (5.7%) had nephropathy at baseline with albuminuria levels >30 mg/dl. Fig 1. ePREDICE CONSORT flow diagram baseline. https://doi.org/10.1371/journal.pone.0231196.g001 PLOS ONE Lifestyle and drug intervention for prevention of microvascular complications in pre-diabetes - ePREDICE. PLOS ONE | https://doi.org/10.1371/journal.pone.0231196 April 13, 2020 10 / 23 Data from Kuwait (36 patients), Athens -AH- (17 patients), Belgrade -UB- (17 patients) and Sydney (9 patients) are incomplete or unavailable at the moment. Therefore, these patients were not included in the analyses performed. Discussion ePREDICE is an investigator-driven, independent clinical trial, assessing effects of different glucose lowering drugs combined with lifestyle counselling on preservation of microvascular function and early prevention of retinopathy, nephropathy and peripheral neuropathy in pre- diabetic people. The trial is particularly innovative for the assessment of small nerve impairment by using the sudomotor function with the Sudoscan device. Microvascular complications appear at early stage of the disease, and are suitable as major outcome when trying to prevent complications of hyperglycaemia. Our hypothesis is that intensive and early treatment combining safe antidiabetic drugs with lifestyle intervention is more effective than intensive lifestyle intervention alone in preventing microvascular compli- cations in adults with non-diabetic hyperglycaemia range. The use of a particular antidiabetic drug is based on its capacity to control glycaemia, and the likelihood to produce long-term benefits, which is the key issue in pre-diabetes. We aim to investigate if the early and intensive multifactorial treatment could challenge the current standard approach to pre-diabetes, using pharmacological treatment as co-adjuvant to the lifestyle interventions. We also aim to see to what extent, a more intensive preventive treatment can reduce the progression from pre-dia- betes to diabetes. Previous studies have shown that lifestyle intervention and pharmacotherapy reduces the risk of progression in people with IGT, but results among people with IFG have been inconclusive. Our study can throw light to this open question [40, 41]. The trial´s recruitment process was quite efficient with a 30.5% rate of screening failure, which is lower than those reported by other similar trials in the field [17]. The rate of accep- tance of drug treatment (91.1%) is considered very high for a primary prevention trial with Table 1. Number of people randomized and initiated treatment by study site in the ePREDICE trial. 1 Location Randomized n(%) Initiated the allocated study treatment n(%) Madrid, Spain 349 (36.1) 323 (39.9) Krakow, Poland 134 (13.9) 124 (15.3) Ma´laga, Spain 90 (9.3) 84 (10.4) Athens (NK), Greece 80 (8.3) 67 (8.3) Sofia, Bulgaria 79 (8.2) 76 (9.4) Salzburg, Austria 63 (6.5) 55 (6.8) Istanbul, Turkey 49 (5.1) 36 (4.4) Belgrade (MSB), Serbia 44 (4.6) 44 (5.4) Kuwait 36 (3.7) - Athens (AH), Greece 17 (1.8) - Belgrade (UB), Serbia 17 (1.8) - Sydney, Australia 9 (0.9) - TOTAL 967 (100) 809 (100) 1) ePREDICE denotes: Early Prevention of Diabetes Complications in People with Hyperglycaemia in Europe. � NK: National and Kapodistrian University of Athens. Greece. � MSB: Medical System Beograd. Belgrade, Serbia. � AH: Alexandra Hospital. University of Athens. Greece. � UB: Faculty of Medicine, University of Belgrade. Serbia. https://doi.org/10.1371/journal.pone.0231196.t001 PLOS ONE Lifestyle and drug intervention for prevention of microvascular complications in pre-diabetes - ePREDICE. PLOS ONE | https://doi.org/10.1371/journal.pone.0231196 April 13, 2020 11 / 23 drugs and lifestyle combined, where only 50% of eligible people invited usually accept [17]. The main reasons for drug treatment refusal in primary prevention trials of chronic such as pre-diabetes including ours is the unawareness of suffering a health problem without symp- toms, and the unwillingness to sign the informed consent or taking a masked drug. However, the similar socio-demographic characteristics and clinical profile of those people randomized who rejected or accepted the drug treatment, allows ruling out any risk of differential bias towards the inclusion of people with either higher or lower risk than planned. We have compared the distribution of key cardio-metabolic risk factors in the ePREDICE population with pre-diabetic people recruited by the DE-PLAN study, an European program of diabetes prevention using the Finnish Diabetes Risk Score (FINDRISC) for screening fol- lowed of an OGTT, in the same age-group (45–74 years), and which was previously conducted by several ePREDICE investigators at the same primary care settings [42]. Participants in the ePREDICE trial are similar in terms of socio-demographic, cardio-metabolic and lifestyle pro- file than the sub-sample of prediabetic people in the DE-PLAN. Pre-diabetic population in ePREDICE and DE-PLAN shown similar fasting-and 2h PG levels. Therefore, we can conclude that ePREDICE sample represent fairly well the adult pre-diabetic population who use public primary care services across Europe [42]. Table 2. Demographics and the major cardiovascular risk factors at baseline of people randomized in the ePREDICE trial (treated and non-treated; Intention-To- Treat population). Key variables Randomized Not Treated (n = 79) Randomized Treated (n = 809) P-value Females (%) 50 (63.3) 470 (58.1) 0.371 Smoking every day (%) 11 (13.9) 116 (14.3) 0.636 Family history of diabetes (%) 26 (32.9) 321 (39.7) 0.485 Use of antihypertensive drugs 26 (32.9) 325 (40.2) 0.208 Physical activity (30 min or more every day) 37 (46.8) 415 (51.3) 0.449 Vegetables, fruits or berries consumption (every day) 42 (53.2) 475 (58.7) 0.340 Age, years 59.4 (7.8) 58.5 (7.6) 0.327 BMI (kg/m2) 30.8 (5.2) 30.6 (5.0) 0.729 Waist circumference in males (cm) 105.4 (12.2) 105.8 (12.0) 0.594 Waist circumference in females (cm) 98.9 (13.3) 99.3 (11.7) 0.594 Systolic blood pressure (mmHg) 130 (15.7) 132 (17.2) 0.372 Diastolic blood pressure (mmHg) 78 (8.9) 82 (10.7) 0.150 Fasting plasma glucose (mmol/L) 6.4 (0.4) 6.4 (0.5) 0.323 2-hour plasma glucose (mmol/L) 7.9 (1.7) 8.1 (1.7) 0.382 Serum total cholesterol (mmol/L) 5.1 (1.6) 5.3 (1.1) 0.219 Serum HDL cholesterol (mmol/L) 1.4 (0.3) 1.4 (2.7) 0.930 Serum LDL cholesterol (mmol/L) 3.2 (0.8) 3.3 (0.9) 0.202 Serum triglycerides (mmol/L) 1.5 (1.6) 1.5 (0.9) 0.940 HbA1c (%) 5.8 (0.3) 5.8 (0.4) 0.545 eGFR CKD-EPI (mL/min per 1.73 m2) 93.7 (7.4) 93.8 (9.5) 0.884 FINDRISC Score 13.3 (4.1) 13.8 (4.1) 0.262 For categorical variables % is presented. For continuous variables Mean (SD) are presented. BMI: body mass index;HbA1c: glycated haemoglobin; eGFR CKD-EPI: estimated glomerular filtration rate based on Chronic Kidney Disease Epidemiology Collaboration; FINDRISC: Finnish Diabetes Risk Score. https://doi.org/10.1371/journal.pone.0231196.t002 PLOS ONE Lifestyle and drug intervention for prevention of microvascular complications in pre-diabetes - ePREDICE. PLOS ONE | https://doi.org/10.1371/journal.pone.0231196 April 13, 2020 12 / 23 Few studies have reported the prevalence of microvascular abnormalities in the pre-diabetic population, and less have used validated and standardized methods of assessment. The DPP trial used the same criteria for diabetic retinopathy evaluation (ETDRS and central grading), and reported a slightly higher prevalence of retinopathy (7.9%) in a sub-sample of prediabetic participants people who did not progressed to overt clinical diabetes after 3-year of follow-up [21]. The prevalence of peripheral neuropathy in pre-diabetic populations has been reported to be up to 15% depending of the method used, but data based on SUDOSCAN are scarce. The prevalence of severe neuropathy in our sample was 5.3%. A recent population study in Finnish men with high-risk of T2D reported up to 11% of mild or severe neuropathy [43, 44]. How- ever, if we consider both severe and mild neuropathy together the prevalence raises up to 31% using the SUDOSCAN criteria. The prevalence of nephropathy in our study according to a level of albuminuria>30mg/dl was 5.7%, similar than the reported by Melsom et al in a sample of pre-diabetics from the US general population [45]. Limitations Our approach was similar to that used in other landmark trials of diabetes prevention which compared metformin to lifestyle intervention and both arms were also evaluated separately against placebo (US DPP). However, the DPP was unable to observe any benefit of lifestyle intervention or metformin on microvascular complications [21]. The original planning of ePREDICE duration is relatively short (2-years) due to the limitation of primary fund sources. Nevertheless, we hope that we will be able to monitor the status of the study participants for a longer period. Our primary objective is to compare the primary outcome in all three anti-diabetic drug arms combined (metformin, linagliptin, and linagliptin/metformin) with the lifestyle (placebo) only arm. To increase trial´s power the three main outcomes have been combined in a com- posite endpoint. Table 3. Frequency of relevant health conditions at baseline in randomized (treated and not-treated individuals; Intention-To-Treat population). Health Condition Randomized Not Treated (%) (n = 79) Randomized Treated (%) (n = 809) P-value Glycaemia categories 0.311 Isolated IGT 16 (20.3) 226 (27.9) Isolated IFG 36 (45.6) 317 (39.2) IGT+ IFG combined 27 (34.2) 266 (32.9) Hypertension (SBP� 140 mmHg or DBP� 90 mmHg or antihypertensive drug use) 40 (50.6) 486 (60.1) 0.103 Hypercholesterolemia (Serum total cholesterol� 200 mg or lipid lowering drug use) 51 (64.6) 536 (66.3) 0.761 Overweight (BMI 25–29 kg/m2) 22 (27.8) 223 (27.6) 0.957 Obesity (BMI� 30 kg/m2) 41 (51.9) 411 (50.8) 0.853 Abdominal obesity (Males: WC� 94 cm) 25 (37.3) 301 (42.9) 0.625 Abdominal obesity (Female: WC� 88 cm) 42 (62.7) 401 (57.1) 0.625 Diabetic Retinopathy (ETDRS > 14) 0 34 (4.2) NA Severe neuropathy (feet ESC [μS]<50 or hands ESC [μS]<40) 2 (2.5) 43 (5.3) 0.282 Nephropathy (Albumin > 30 mg/dl) 2 (2.5) 46 (5.7) 0.237 IGT: Impaired Glucose Tolerance; IFG: Impaired Fasting Glucose; SBP: systolic blood pressure; DBP: diastolic blood pressure; BMI: body mass index; WC: waist circumference; ETDRS: Early Treatment Diabetic Retinopathy Scale; NA: not applicable. https://doi.org/10.1371/journal.pone.0231196.t003 PLOS ONE Lifestyle and drug intervention for prevention of microvascular complications in pre-diabetes - ePREDICE. PLOS ONE | https://doi.org/10.1371/journal.pone.0231196 April 13, 2020 13 / 23 Potential impact ePREDICE final results will have the potential of changing the current paradigm of early man- agement of intermediate hyperglycaemia and to guide treatment decisions in pre-diabetes. The trial will permit the evaluation of effects of intensive treatment (lifestyle plus drug treat- ment) in pre-diabetes for the early prevention of complication associated with hyperglycemia. We also wish to characterize individuals who will develop early complications and to identify which complication appears first. The follow-up will enable us to assess also the cumulative incidence of various complications. Conclusions The ePREDICE is the first randomized clinical trial assessing effects of different interventions (lifestyle and glucose lowering drugs together) on the prevention of microvascular complica- tions and other outcomes in people with pre-diabetes. This approach can be also valuable to investigate the mechanisms how to reduce microvascular complications by glucose lowering drugs and lifestyle interventions. The ePREDICE study has proceeded well by collecting demo- graphic, clinical information and complications associated with pre-diabetes at baseline. Supporting information S1 Table. Number of randomized and initiated treatment by study site. (DOC) S2 Table. Demographics and the major cardiovascular risk factors at baseline of people randomized in the ePREDICE trial (treated and non-treated; Intention-To-Treat popula- tion). (DOC) S3 Table. Frequency of relevant health conditions at baseline in randomized (treated and not-treated individuals; Intention-To-Treat population). (DOC) S1 Checklist. CONSORT 2010 checklist of information to include when reporting a rando- mised trial�. (DOC) S1 Data. (PDF) S2 Data. (PDF) S3 Data. (PDF) Acknowledgments Members of the e-PREDICE Consortium. Steering Committee: Jaakko Tuomilehto. Rafael Gabriel, Jaana Lindstro¨m, Jesu´s Egido. Andrea Natali. Jose´ Carlos Pastor, Michael Brainin, Marcus Lind, Luis Silva, Peter Schwartz, Aleksandra Gilis. Uniwersytet Jagiellonski. Safety Committee: PLOS ONE Lifestyle and drug intervention for prevention of microvascular complications in pre-diabetes - ePREDICE. PLOS ONE | https://doi.org/10.1371/journal.pone.0231196 April 13, 2020 14 / 23 Carmen Sua´rez Ferna´ndez. Hospital University La Princesa. Madrid, Spain. Beberly Balkau. INSERM Veifville. France. Matti IJ Uusitupa. Institute of Public Health and Clinical Nutrition. University of Eastern Finland. Kuopio, Finland. Internal Ethic committee. Julio Romero. Hospital University La Princesa. Madrid, Spain. Lars Ryden. Karolinska Institute. Stockholm, Sweden. External Scientific Advisory Board. Ralph DeFronzo. University of Texas. San Antonio, Texas, USA. Manuel Serrano Rı´os. Uni- versidad Complutense. Madrid, Spain. Michael Roden. German Center for Diabetes Research (DZD). Mu¨nchen Neuherberg. Heinrich Heine University Du¨sseldorf, Du¨sseldorf, Germany. John Nolan. European Diabetes Forum, European Association for the Study of Diabetes, Trin- ity College Dublin, Ireland. Work package (WP) WP1: coordinador. EVIDEM CONSULTORES Rafael Gabriel, Jaakko Tuomilehto. Nisa Boukichou, Tania Acosta, Margarita Alonso, Ruy Lo´pez-Ridaura, Luis Silva, Eliana del A´guila, Ana Roso´n. WP2. CLINICAL CENTRES: Spain. Primary Care centres of SERMAS (Servicio Madrileño de Salud) Toma´s Go´mez-Gasco´n, Juan Carlos Aba´nades Herranz, Marı´a Esther Sa´nchez Carranza, Alicia Rodrı´guez Blanco, Fernando Villasante Claudios,Consuelo Ugarte Pe´rez, Bele´n Pela´ez Raposo, Beatriz Ca´ceres Sa´nchez, Sergio Gonza´lez Gasca; Margarita Herrero Delgado, Isabel Garcı´a Del Rı´o, Mª Lorena Rodrı´guez Pe´rez, Mª Carmen Reyes Madridejos, Mª Carmen Cas- tillo Lo´pez, Mª Jesu´s Paloma Huerga Gonza´lez, Ana Alayeto Sa´nchez, Carmen Pascual Dı´ez, Esperanza Villar Coloma, Tirso Galiano Arroyo, Mª Olga Peña Peña, Mª Elena Pejenaute Labari, Mª Mercedes Rojo Tardo´n, Mª Teresa Recio Garcı´a, Marı´a Campos Lo´pez-Carrio´n, Sara Criado Jorge, Virginia Garcı´a Campo, Almudena Pazos Gonza´lez, Aranzazu Pe´rez Medina, Ricardo Benito Ferna´ndez, Mercedes Ricote Belincho´n, Mª Teresa Sa´nchez-Villares Rodrı´guez, Noelia Polo Ferna´ndez, Antonio Cabrera Majada, Eva Marı´a Revuelta Marinez, Itziar Va´zquez Carrio´n, Mª Nuria Ferna´ndez De Cano Martı´n, Manuel Gutie´rrez Cabanas, Soledad Ferna´ndez Saavedra, Yolanda Jime´nez Aguilar, Mª A´ngeles Rodrı´guez Loarce, Emilia Pedroche Morales, Teresa Nieto Monreal, Marı´a Begoña Herna´ndez Olivares, Carmen Dom- ı´nguez Encinas, Ana Martı´nez-Cabrera Pela´ez, Mª Ine´s Casas Jime´nez, Pilar Pe´rez Egea, Con- cepcio´n Espariz Campano, A´ngeles Brieva Garcı´a, Mª Azucena Saez Berlana, Carlos Casanova Garcı´a, Mª Carmen Belincho´n Moya, Mª Dolores Parejo Pablos, Elisa Varona Lahuerta, Esther Labrador Arranz, Mª A´ngeles Conde Llorente, Mª Teresa Go´mez Martı´nez, Milagros Vela´z- quez Garcı´a, Mª Patrocinio Verde Gonza´lez, Mª Rosario Campo Martı´nez, Mª Rosario Del A´lamo Gutie´rrez, Mª Victoria Cantera Urcı´a, Alejandra Gonza´lez Esteban, Laura Rodrı´guez Cortizo, Sabrina Sosa Ale´s, Eva Torres Cantero, Idoia Baı´llo Peña, Tamara Garcı´a Lo´pez, Cris- tina Calle Domı´nguez, Inmaculada Peña Sainz, Mª Antonia Minguito Lobos, Consuelo Via- monte Andre´s, Francisco Manuel Garcı´a Garcı´a, Jose´ Marı´a Lobos Bejarano, Raquel Juez Pimienta, Emiliana Villares Motino, Elvira Pe´rez Peñas, Silvia Jime´nez, Laura Manuyama Pacaya, Carmen Morales Guevara, Carmen Melero Gonza´lez, Blanca Novella Arribas, Marta Cuevas, Bele´n Sierra Garcı´a, Marta Ruiz, Amelia Gonza´lez Gamarra, Rosa Mª Sa´nchez Alcalde, Bele´n Pela´ez Raposo, A´ngela Gallego Arenas, Mª Soledad Mayayo Vicente, Javier Lo´pez Gon- za´lez, Manuel Jovino Arango Victoria, Ana Marı´a Santos Caballero, Isabel Jimeno, Juana Iri- bertegui, Ramo´n Marı´a Salgado, Marı´a Olga Ortega de Santos, Marı´a Gema Garcı´a, Marı´a Jose´ LLore´ns Balducel, Juan Carlos de la Fuente, Claudia Ferna´ndez Illen, Beatriz Manrique PLOS ONE Lifestyle and drug intervention for prevention of microvascular complications in pre-diabetes - ePREDICE. PLOS ONE | https://doi.org/10.1371/journal.pone.0231196 April 13, 2020 15 / 23 Olmedo, Tati Are´valo Gallego, Juan Machuca Go´mez, Esther San Jose´ Bla´zquez, Teresa Caste- llanos Ruiz, Macarena Espejo Saucedo, Marı´a Esther Ferna´ndez Yedra, Carmen Torres Martı´- nez, A´ngel Lindo Torres, Vı´ctor Rau´l Montes Pina, khosrow Dadbin Dadbin, Rosa Arda´ Maillo, Inmaculada Parra A´lvarez, Justino Flores Ramos, Mª Dolores Vicente de Forondo, Antonio Calvo Cebrian, Yolanda Gines Dı´az, Paloma Henares Garcı´a, Luı´s La Puente Mon- toso, Aurora Lo´pez Gil, Mª Concepcio´n Marcello,Silvia Membrado Go´mez, Nieves Puente Garcı´a, Nuria Rodrı´guez Pata, Antonio Sa´nchez Calso, Mª Sa´nchez Casado, Mª Pilar Saladana Calzo, Carmen Velayos Rodrı´guez, Consuelo Velaz Lo´pez, Miguel A´ngel Venga Mendı´a, C. Susana Abad Guijarro, Gema Calderero Castellanos, Esperanza Corral Agu¨ero, A´ngeles Fer- na´ndez Ortega, Carmen Garcı´a Regidor, Edurne Herna´ndez Sanzano, Pablo Martı´n Cano, Mª Del Carmen Martı´nez Coello, Sandrine Miguel Miguel, Mª Jesu´s Ramos Martı´n de Argenta, Beatriz Ruescas Aurrecoechea, Esteban Gonza´lez Lo´pez, Elena Ramos Quiro´s, David Pe´rez Mancho´n, Leticia Ponto´n, Jon Koldo Sagardui Villamor, Mireia Rey Pe´rez de Pipaon, Mª Luisa Idarreta Zubiria, Juan Carlos Sa´nchez Ruiz, A´ngela Rodrı´guez de Cossio, Milagros Merino Pella, Nuria Ruiz Hombrebueno, Rafael Llanes, Yolanda Vicente Prior, Mercedes Pico´, Francisco Pe´rez Dura´n, Isabel Pe´rez Botella, A´ngeles Cuevas, Francisco Martı´nez Garcı´a, Raquel Cobeñas Mateo, Marı´a Teresa Rodrı´guez De Fonseca, Naldi Luz Cerdeña Ocola, Irene Alma Polanco Garcı´a, Marı´a Esther Amez De Castro, Susana Barrios Espinoza, Antonio Gui- jarro Jime´nez, Ana Marı´a De La Uz Pardos, Francisco Javier Cabrera Pe´rez, Jose´ Ignacio Tor- res Jime´nez, Francisco Martı´nez Garcı´a, Marı´a Isabel Vidal De La Riva, Marı´a Teresa Rodrı´guez De Fonseca, Gabriel Barderas Cuevas, Gonzalo Carrillo De Albornoz Martı´nez Pan- toja, Mª Isabel Garcı´a Romero. Castilla y Leo´n. Primary care centers of A´vila. Primary Care centre of Are´valo: Saturio Vega Quiroga; Roberto Aldrich Garcı´a, Carlos Cañas Ruesgas, Carmen Vian Baron, Josefina Ferna´ndez Ferna´ndez, Mª Antonia Jime´nez Car- abias, Laureano Lo´pez Gay, Mª Pilar Marque´s Macı´as, Almudena Cantalejo Martı´n, Ana Benito Pe´rez, Modesta Mulero San Jose´, Vanesa Martı´n Herna´ndez, Laura Sa´nchez Domı´n- guez, Rosa Mª Garcı´a Martı´n, Victor Manuel A´lvarez Zurdo. Primary Care centre of Sotillo de la Adrada: David A´lvarez Sua´rez, Carmen La´zaro del Nogal, Lourdes Gonza´lez Lo´pez, Mª del Mar Varas Reviejo, Juan Luis Martı´n Clavo, Mª Isabel Bla´zquez Blanco,Mª Luisa Ramos Gonza´lez, Guadalupe Rinaldi Català, Montserrat Lo´pez Ramı´rez, Vanesa Herna´ndez Bla´zquez, Vanessa Gutie´rrez Leo´n, Raquel Pe´rez Cruz, Josefina Ferna´ndez Ferna´ndez, Almudena Ferna´ndez Garcı´a, Raquel Alonso Moralejo. Primary care centers of Segovia. Primary Care centre of Carbonero El Mayor: Marı´a Soledad Fragua Gil, Virginia Silva Guisasola, Concepcio´n Manrique de la Fuente, A´ngeles Lazcoz Fonta´n, He´ctor Aceves Gamarra, Alba Marina Herna´ndez Lo´pez, Mª Jesu´s Blanco Ledesma, Alfonso Santos Lo´pez, Cristina de la Cruz Maeso, Mª del Espı´ritu Santo Otero Herrero, Cristina Olmos Marinero, Patricia Redondo Arranz, Mo´nica A´lvaro Garcı´a. Primary Care centre of Segovia III: Luis Gonza´lvez Lo´pez, Marı´a A´ngeles Raquejo Grado, Jose´ Rodrı´guez Sanz, Juan Manuel de Andre´s Rubio, Nuria Gonza´lez Acebes, Joaquina Gala´n Sa´nchez, Teresa Lo´pez Ferna´ndez-Quesada, Almudena Sanz Prieto, Carmen Montero Mora- les, Marı´a Dolores Alba Jime´nez, Beatriz Ayala Miranda. Castilla-La Mancha. Primary Care centres of CUENCA. Hospital General: Jaime Santiago Aranda Regules, Alba Caterina del Hoyo Herra´iz, Marı´a Victoria Cantero Ayllo´n, Marı´a Jose´ Guille´n Izquierdo, Marı´a Sandra Ruiz Mora, Ana Peña Cabia, Rosa Sa´nchez Amo, M˚ Josefa Moya Lo´pez. PLOS ONE Lifestyle and drug intervention for prevention of microvascular complications in pre-diabetes - ePREDICE. PLOS ONE | https://doi.org/10.1371/journal.pone.0231196 April 13, 2020 16 / 23 Cuenca I: Fructuoso Muelas Herra´iz, M˚ A´ngeles Molina Morate, Fernando Salcedo Aguilar. Cuenca II: Nieves Valero Caracena, Beatriz Ortega Noheda, M˚ Carmen Garcı´a Gonza´lez. Cuenca III: Cristina Martı´nez Martı´n, Miryam Pardo Villalvilla, Mª Eugenia Garcı´a Caste- llanos, Marı´a Elena de las Heras Martı´nez. Primary Care centre of Taranco´n: Filomena del Saz Castellanos, Encarnacio´n Palomares Cañada, Marı´a Concepcio´n Fraile Jime´nez, Pilar Palomar Moreno, Ba´rbara Martı´nez Garrido, Marı´a Pilar Orgaz Gallego, Marı´a Jose´ Tricio Armero, Cristina Garcı´a del Pino Cañadas, Isabel Tierno Aparicio. Ma´laga. Fundacio´n FIMABIS. Servicio Andaluz de Salud (SAS) Medicina Interna: Ricardo Go´mez-Huelgas, Marı´a Dolores Lo´pez-Carmona, Luis M Pe´rez-Belmonte, Marı´a Rosa Bernal-Lo´pez, Marı´a Teresa Moyano Paris, Paula Moya Rodrı´- guez, Antonio Vargas Candela, Alberto Vilches Pe´rez, Marı´a Isabel Ruiz Moreno, Maite Muñoz Melero, Pilar Go´mez Martin. Oftalmologı´a: Jacinto Villalvilla, A´lvaro Santos, Antonio Archilla, Carlos Rocha, Silvia Lozano Ruiz. Primary care centers of Ma´laga. Alameda- Perchel: Francisco Javier Orellana Lozano, Manuel Guarino Nuño, Alhaurı´n de la Torre: Daniel Martin Castillo, Marı´a Jose´ Guerra Maldonado, Jose´ Rogelio Sa´nchez Ortiz. Alozaina-Yunquera: David Ferna´ndez Bonilla, J A Cortes, Juan Antonio Cordero Cabrera. Antequera: Jose´ Antonio Godı´nez, Jose´ Jesu´s Moreno Jime´nez, David Paniagua Urbano. Archidona: Antonio Cansino Osuna, Marı´a Del Carmen Rojo Camacho, Celinda Lara Moreno, Ignacio Hinojosa Nu´ñez, Almudena Puga Gonza´lez. Capuchinos: Yolanda Rey, Yolanda Rodrı´guez Gallego. Carranque: Carmen Aylo´n Moliner. Cartama Estacion—Cartama pueblo-Pizarra: Francisco Jose Guirado Hidalgo, Marı´a Eva Ruiz Coronado, Susana Barea Diañez, Beatriz Navarro Aranda. Casarabonela: M Carmen Arroyo Martı´nez. Ciudad Jardin: Antonio Baca Osorio, Jose´ Mancera, Salvador Ruiz Vera, Idelfonso Martos Cerezuela. Delicias:Fernando Lo´pez Verde, Mª Carmen Barba Cañete, Cristo´bal Go´mez Acevedo, Margarita Sa´nchez Pavo´n. La Luz: Antonio Oropez Mesa, Antonio Rojas Barrilado. La Roca: Esther Martin Aurioles, Rocı´o Ramos, Francisco Javier Camino, Marı´a Eugenia Valdes, Dolores Bravo Ferna´ndez. Limonar: Silvia Hazañas, Amparo Vargas Machuca Benı´tez, Eva Marı´a Taboada Rı´os. Puerta Blanca: Antonio Hormigo Pozo, Idelfonsa Martı´nez Zaragoza. Rinco´n de la Victoria: Milagrosa Espinar Toledo, Marı´a Del Rosario Rosillo Rein, Gloria Inmaculada Mestre Reoyo, Marı´a Auxiliadora Naranjo Sa´nchez, Jose´ A´ngel Sa´nchez Ortiz, Mª Jose´ Gonza´lez Vega, Jose´ Carlos Pe´rez Sa´nchez, Antonia Cabra Navarro, Antonio Vivas Molina. San Andre´s-El torcal: Antonio Ramı´rez Ceballos, Francisco Ruiz Solares. Tiro Picho´n: Juan Jose´ Bedoya Belmonte, Germa´n Ortega Nu´ñez, Marı´a Encarnacio´n Bueno Caro. Trinidad-Jesu´s cautivo: Santos Agreda. Victoria: Marı´a Jose´ Bujalance Zafra, Montse Roma´n Cereto, Rafael A´ngel Maqueda. Poland. PLOS ONE Lifestyle and drug intervention for prevention of microvascular complications in pre-diabetes - ePREDICE. PLOS ONE | https://doi.org/10.1371/journal.pone.0231196 April 13, 2020 17 / 23 Uniwersytet Jagiellonski, Collegium Medicum, Poland: Aleksandra Gilis-Januszewska, Alicja Hubalewska-Dydejczyk, Beata Piwońska- Solska, Justyna Biegańska, Katarzyna Cybulska, Bernadeta Marcykiewicz, Magdalena Duraczyńska, Anna Cybulska, Joanna Stankie- wicz- Go´ra, Alina Mruk, Grzegorz Młyński, Lucyna Rozpondek, Michał Sroka, Maciej Gilis- Januszewski, Edyta Sacha, Adela Justyńska, Magdalena Szopa, Bartłomiej Matejko. Greece. National and Kapodistrian University of Athens. Greece: Konstantinos Makrilakis, Stav- ros Liatis, Evangelia Siami, Chryssoula Stathi, Katerina Barmpagianni, Maria Nikoloudi, Mer- opi Kontogianni, Ioanna Kechrimpari, Aphroditi Tsiakou, Melina Karaolia. Alexandra Hospital. University of Athens. Greece: Asimina Mitrakou, Georgios Panago- poulos, Paraskevi Kontou, Petros Thomakos, Georgios Giagkou, Evangelia Avgeraki, Eirini Mamalaki. Bulgaria. University Multi-Profile Hospital for Active Treatment Alexandrovska EAD. Sofia, Bul- garia: Zdravko Asenov Kamenov, Antoaneta Trifonova Gateva, Yavor Sashov Assyov, Tsvetan Vladimirov Gatev, Vera Nacheva Karamfilova, Iveta Slavyanova Nedeva. Austria. Gemeinnutzige Salzburger Landeskliniken Betriebsgesellschaft. Salzburg, Austria: Bernhard Paulweber, Ludmilla Kedenko, Andrea Undeutsch. Turkey. Istanbul University Istanbul. Turkey: Ilhan Satman, B. Fulya Turker, Ayse K. Uzum, Sakin Tekin, Ramazan C¸akmak, Elif T. Bagdemir, Selda G. Celik, Cemile C. Idiz, Halime C. Sackoparan, Zafer Cebeci. Nur Kir, Dilara Karsidag, Yildiz Tutuncu, Aslihan Demirbas, Busra Yildiz. Serbia. Medical System Beograd-MSB. Belgrade, Serbia. Predrag Djordjevic, Margarita Dodevska, Nevenka Raketic, Aleksandar Stamenkovic, Marko Jovic, Fadil Canovic, Ljiljana Milivojevic, Kristina Savic, Ljiljana Savic, Mirjana Sarkic. Faculty of Medicine, University of Belgrade. Serbia. Nebojsa Lalic, Katerina Lalic, Aleksandra Jotic, Jelena Stanarcic. Australia. The Univerity of Sydney. Australia: Stephen Colagiuri, Anthony Keech, Kristine Mad- dock, Andrzej S. Januszewski, Liping Lee, Tegan Picone, Emma Sainsbury, Alison Coenen, Chelsea Hendy, Namson Lau. Tania Markovic, Erica Bessell, Nick Fuller. Kuwait. Dasman Diabetes Research Institute: Jaakko Tuomilehto, Abdullah Alkandari, Abdullah Bennakhi, Monira Alarouj, Mohammad Jalali, Medinella Fernandez, Michael Theodorakis, Makka Ali Osman, Jincy Raj, Ala’a Al-Obaid. WP3. Lifestyle Intervention. Terveyden ja Hyvinvoinnin Laitos. Finland: Jaana Lindstro¨m, Pa¨ivi Valve, Katri Hemio¨, Katja Wikstro¨m, Esko Leva¨lahti, Pirjo Saastamoinen. WP4. Central laboratories and Biobank. Instituto de Investigacio´n Sanitaria de la Fundacio´n Jime´nez Dı´az. Madrid, Spain (Cen- tral Laboratory, Biobank and Inflammatory biomarkers): Jesu´s Egido, Sebastia´n Mas, San- dra Zazo, Esther Civantos, Rosario de Nicola´s, Federico Rojo. Consiglio Nazionale delle Ricerche. Pisa, Italy. (NAFLD laboratory): Amalia Gastaldelli, Fabrizia Carli, Emma Buzzigoli, Melania Gaggini. PLOS ONE Lifestyle and drug intervention for prevention of microvascular complications in pre-diabetes - ePREDICE. PLOS ONE | https://doi.org/10.1371/journal.pone.0231196 April 13, 2020 18 / 23 Fundacio´ Hospital Universitari Vall d’ Hebron, Institut de Recerca. Barcelona, Spain (Retinal biomarkers): Rafael Simo´, Cristina Herna´ndez, Marta Garcı´a-Ramirez. Queen Mary University of London. UK (Genetic laboratory): Graham A Hitman. WP5. Microvascular assessment coordination. Universita di Pisa, Italy. (Endotelial assessment): Andrea Natali, Lucrecia Motta. WP6. Retinal Assessment. Instituto de Oftalmobiologı´a Aplicada (IOBA) Universidad de Valladolid, Spain. (Cen- tral Retinal Reading Centre): Maribel Lo´pez, Jose´ Carlos Pastor, Lucı´a Manzanas, Ignacio Alonso, Vero´nica Velasco, Laura Mena. e-DIAGNOSTIC Oftalmologı´a. Madrid, Spain. (Retinal e-platform): Diana Bravo, Vı´c- tor Gonza´lez Rumayor, Marica D´Angelo, A´lex Manau. WP7. Neuropsychological assessment. Department for Clinical Neurosciences and Preventive Medicine, Danube University Krems. Krems, Austria: Michael Brainin, Yvonne Teuschl, Alexandra Dachenhausen, Karl Matz. Instituto de Investigacio´n y Asistencia Psiquia´trica (IAP). Madrid, Spain: Laura Fer- rando Bundı´o. Oivauni Oy. Kuopio,Finland: Henri Tuomilehto, Seppo Silvennoinen. WP8. Statistical analysis. Vastra Gotalands Lans Landsting. Gotenburg, Sweden (Statistical Analysis coordina- tor): Marcus Lind, Aldina Pivodic, Hans Wedel. Institute of Neuroscience, National Research Council (Consiglio Nazionale delle Ricerche). Pavoda, Italy. (Insulin and C-Peptide modeling): Andrea Mari, Andrea Tura. University of Helsinki. Department of Public Health: Pekka Jousilahti. WP9. Technology Assessment. IMPETO Medical. Paris, France (Sudoscan assessment): Jean-Henri Calvet, GaelleLerise, Alice Vilier. Mezen Bouzaien. AARDEX Group SA. Geneva. Switzerland (MEMs drug´s adherence monitoring): Ber- nard Vrijens, Rodrigo Paiva, Eric Tousset. WP10. Dissemination and communication: Federation Internationale du Diabete Region Europe AISBL: Lala Rabemananjara. Author Contributions Conceptualization: Rafael Gabriel, Jaakko Tuomilehto. Data curation: Rafael Gabriel, Nisa Boukichou Abdelkader, Tania Acosta, Jaakko Tuomilehto. Formal analysis: Rafael Gabriel, Nisa Boukichou Abdelkader, Tania Acosta, Jaakko Tuomilehto. Funding acquisition: Rafael Gabriel, Jaakko Tuomilehto. Investigation: Rafael Gabriel, Aleksandra Gilis-Januszewska, Ricardo Go´mez-Huelgas, Kon- stantinos Makrilakis, Zdravko Kamenov, Bernhard Paulweber, Ilhan Satman, Predrag Djordjevic, Abdullah Alkandari, Asimina Mitrakou, Nebojsa Lalic, Stephen Colagiuri, Jaana Lindstro¨m, Jesu´s Egido, Andrea Natali, J. Carlos Pastor, Yvonne Teuschl, Marcus Lind, Luis Silva, Ruy Lo´pez-Ridaura, Jaakko Tuomilehto. Methodology: Rafael Gabriel, Nisa Boukichou Abdelkader, Tania Acosta, Aleksandra Gilis- Januszewska, Ricardo Go´mez-Huelgas, Konstantinos Makrilakis, Zdravko Kamenov, PLOS ONE Lifestyle and drug intervention for prevention of microvascular complications in pre-diabetes - ePREDICE. PLOS ONE | https://doi.org/10.1371/journal.pone.0231196 April 13, 2020 19 / 23 Bernhard Paulweber, Ilhan Satman, Predrag Djordjevic, Abdullah Alkandari, Asimina Mitrakou, Nebojsa Lalic, Stephen Colagiuri, Jaana Lindstro¨m, Jesu´s Egido, Andrea Natali, J. Carlos Pastor, Yvonne Teuschl, Marcus Lind, Luis Silva, Ruy Lo´pez-Ridaura, Jaakko Tuomilehto. Project administration: Rafael Gabriel, Nisa Boukichou Abdelkader, Tania Acosta, Jaakko Tuomilehto. Resources: Rafael Gabriel, Tania Acosta, Aleksandra Gilis-Januszewska, Ricardo Go´mez- Huelgas, Konstantinos Makrilakis, Zdravko Kamenov, Bernhard Paulweber, Ilhan Satman, Predrag Djordjevic, Abdullah Alkandari, Asimina Mitrakou, Nebojsa Lalic, Stephen Cola- giuri, Jaana Lindstro¨m, Jesu´s Egido, Andrea Natali, J. Carlos Pastor, Yvonne Teuschl, Mar- cus Lind, Luis Silva, Ruy Lo´pez-Ridaura, Jaakko Tuomilehto. Software: Rafael Gabriel, Nisa Boukichou Abdelkader, Tania Acosta, Jaakko Tuomilehto. Supervision: Rafael Gabriel, Nisa Boukichou Abdelkader, Tania Acosta, Aleksandra Gilis- Januszewska, Ricardo Go´mez-Huelgas, Konstantinos Makrilakis, Zdravko Kamenov, Bern- hard Paulweber, Ilhan Satman, Predrag Djordjevic, Abdullah Alkandari, Asimina Mitra- kou, Nebojsa Lalic, Stephen Colagiuri, Jaana Lindstro¨m, Jesu´s Egido, Andrea Natali, J. Carlos Pastor, Yvonne Teuschl, Marcus Lind, Luis Silva, Ruy Lo´pez-Ridaura, Jaakko Tuomilehto. Validation: Rafael Gabriel, Nisa Boukichou Abdelkader, Tania Acosta, Aleksandra Gilis- Januszewska, Ricardo Go´mez-Huelgas, Konstantinos Makrilakis, Zdravko Kamenov, Bern- hard Paulweber, Ilhan Satman, Predrag Djordjevic, Abdullah Alkandari, Asimina Mitra- kou, Nebojsa Lalic, Stephen Colagiuri, Jaana Lindstro¨m, Jesu´s Egido, Andrea Natali, J. Carlos Pastor, Yvonne Teuschl, Marcus Lind, Luis Silva, Ruy Lo´pez-Ridaura, Jaakko Tuomilehto. Visualization: Rafael Gabriel, Nisa Boukichou Abdelkader, Tania Acosta, Aleksandra Gilis- Januszewska, Ricardo Go´mez-Huelgas, Konstantinos Makrilakis, Zdravko Kamenov, Bern- hard Paulweber, Ilhan Satman, Predrag Djordjevic, Abdullah Alkandari, Asimina Mitra- kou, Nebojsa Lalic, Stephen Colagiuri, Jaana Lindstro¨m, Jesu´s Egido, Andrea Natali, J. Carlos Pastor, Yvonne Teuschl, Marcus Lind, Luis Silva, Ruy Lo´pez-Ridaura, Jaakko Tuomilehto. Writing – original draft: Rafael Gabriel, Nisa Boukichou Abdelkader, Tania Acosta, Jaakko Tuomilehto. Writing – review & editing: Rafael Gabriel, Nisa Boukichou Abdelkader, Tania Acosta, Alek- sandra Gilis-Januszewska, Ricardo Go´mez-Huelgas, Konstantinos Makrilakis, Zdravko Kamenov, Bernhard Paulweber, Ilhan Satman, Predrag Djordjevic, Abdullah Alkandari, Asimina Mitrakou, Nebojsa Lalic, Stephen Colagiuri, Jaana Lindstro¨m, Jesu´s Egido, Andrea Natali, J. Carlos Pastor, Yvonne Teuschl, Marcus Lind, Luis Silva, Ruy Lo´pez-Ridaura, Jaakko Tuomilehto. References 1. World Health Organization. Definition and diagnosis of diabetes mellitus and intermediate hyperglyce- mia: report of a WHO/IDF consultation. WHO, 2006. 2. Gernstein HC, Santaguida P, Raina P, Morrison KM, Balion C, Hunt D, et al. Annual incidence and rela- tive risk of diabetes in people with various categories of dysglycemia: a systematic overview and meta- analysis of prospective studies. Diabetes Res. Clin. Pract. 2007; 78: 305–12 https://doi.org/10.1016/j. diabres.2007.05.004 PMID: 17601626 PLOS ONE Lifestyle and drug intervention for prevention of microvascular complications in pre-diabetes - ePREDICE. PLOS ONE | https://doi.org/10.1371/journal.pone.0231196 April 13, 2020 20 / 23 3. Diabetes Prevention Program Research Group, Knowler WC, Fowler SE, Hamman RF, Christophi CA, Hoffman HJ, Brenneman AT, et al. 10-year follow-up of diabetes incidence and weight loss in the Diabe- tes Prevention Program Outcomes Study. Lancet. 2009; 374:1677–86. https://doi.org/10.1016/S0140- 6736(09)61457-4 PMID: 19878986 4. Yeboah J, Bertoni AG, Herrington DM, Post WS, Burke GL. Impaired fasting glucose and the risk of inci- dent diabetes mellitus and cardiovascular events in an adult population: MESA (Multi-Ethnic Study of Atherosclerosis). J Am Coll Cardiol. 2011; 58:140–6. https://doi.org/10.1016/j.jacc.2011.03.025 PMID: 21718910 5. Heianza Y, Hara S, Arase Y, Saito K, Fujiwara K, Tsuji H, et al. HbA1c 5�7–6�4% and impaired fasting plasma glucose for diagnosis of pre-diabetes and risk of progression to diabetes in Japan (TOPICS 3): a longitudinal cohort study. Lancet 2011; 378:147–55. https://doi.org/10.1016/S0140-6736(11)60472-8 PMID: 21705064 6. Kanat M, Mari A, Norton L, Winnier D, DeFronzo RA, Jenkinson C, et al. Distinct β-cell defects in impaired fasting glucose and impaired glucose tolerance. Diabetes. 2012; 61:447–53. https://doi.org/ 10.2337/db11-0995 PMID: 22275086 7. Plantinga LC, Crews DC, Coresh J, Miller ER 3rd, Saran R, Yee J, et al; CDC CKD Surveillance Team. Prevalence of chronic kidney disease in US adults with undiagnosed diabetes or pre-diabetes. Clin J Am Soc Nephrol. 2010; 5:673–82. https://doi.org/10.2215/CJN.07891109 PMID: 20338960 8. Singh JP, Larson MG, O’Donnell CJ, Wilson PF, Tsuji H, Lloyd-Jones DM, et al. Association of hyper- glycemia with reduced heart rate variability (The Framingham Heart Study). Am J Cardiol. 2000; 86:309–12. https://doi.org/10.1016/s0002-9149(00)00920-6 PMID: 10922439 9. Tapp RJ, Tikellis G, Wong TY, Harper CA, Zimmet PZ, Shaw JE; Australian Diabetes Obesity and Life- style Study Group. Longitudinal association of glucose metabolism with retinopathy: results from the Australian Diabetes Obesity and Lifestyle (AusDiab) study. Diabetes Care. 2008; 31:1349–54. https:// doi.org/10.2337/dc07-1707 PMID: 18411241 10. Balkau B, Hu G, Qiao Q, Tuomilehto J, Borch-Johnsen K, Pyorala K; DECODE Study Group; European Diabetes Epidemiology Group. Prediction of the risk of cardiovascular mortality using a score that includes glucose as a risk factor. The DECODE Study. Diabetologia 2004; 47:2118–28. https://doi.org/ 10.1007/s00125-004-1574-5 PMID: 15662552 11. Barr EL, Zimmet PZ, Welborn TA, Jolley D, Magliano DJ, Dunstan DW, et al. Risk of cardiovascular and all-cause mortality in individuals with diabetes mellitus, impaired fasting glucose, and impaired glucose tolerance: the Australian Diabetes, Obesity, and Lifestyle Study (AusDiab). Circulation. 2007; 116:151– 7. https://doi.org/10.1161/CIRCULATIONAHA.106.685628 PMID: 17576864 12. Sorensen BM, Houben AJ, Berendschot TT, Shouten JS, Kroon AA, van der Kallen CJ, et al. Pre-diabe- tes and type 2 diabetes are associated with generalized microvascular dysfunction: the Maastricht study. Circulation 2016; 134:1339–52. https://doi.org/10.1161/CIRCULATIONAHA.116.023446 PMID: 27678264 13. Taba´k AG, Herder C, Rathmann W, Brunner EJ and Kivima¨ki M. Pre-diabetes: a high-risk state for dia- betes development. Lancet 2012; 379: 2279–90. https://doi.org/10.1016/S0140-6736(12)60283-9 PMID: 22683128 14. Vas PRJ, Alberti KG, Edmonds ME. Pre-diabetes: moving away from a glucocentric definition. Lancet Diabetes Endocrinol. 2017 Aug 3. pii: S2213-8587(17)30234-6. 15. Galaviz KI, Weber MB, Straus A, Haw JS, Narayan KMV, Ali MK. Global DiabetesPrevention Interven- tions: A Systematic Review and Network Meta-analysis of the Real-World Impact on Incidence, Weight, and Glucose. Diabetes Care. 2018; 41:1526–34. https://doi.org/10.2337/dc17-2222 PMID: 29934481 16. Holman RR, Coleman RL, Chan JCN, Chiasson JL, Feng H, Ge J, et al, ACE Study Group. Effects of acarbose on cardiovascular and diabetes outcomes in patients with coronary heart disease and impaired glucose tolerance (ACE): a randomised, double-blind, placebo-controlled trial. Lancet Diabe- tes Endocrinol 2017; 5:877–886. https://doi.org/10.1016/S2213-8587(17)30309-1 PMID: 28917545 17. The Diabetes Prevention Program Research Group. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med 2002; 346:393–403. https://doi.org/10.1056/ NEJMoa012512 PMID: 11832527 18. DREAM Trial Investigators. Effect of rosiglitazone on the frequency of diabetes in patients with glucose impaired tolerance or impaired fasting glucose: A randomized controlled trial. Lancet 2006; 368:1096– 105. https://doi.org/10.1016/S0140-6736(06)69420-8 PMID: 16997664 19. DeFronzo RA, Tripathy D, Schwenke DC, Banerji MA, Bray GA, Buchanan TA, et al for the ACT NOW Study. N Engl J Med 2011; 364:1104–15. https://doi.org/10.1056/NEJMoa1010949 PMID: 21428766 20. Pi-Sunyer X, Astrup A, Fujioka K, Greenway F, Halpern A, Krempf M, et al; SCALE Obesity and Pre-dia- betesNN8022-1839 Study Group. A Randomized, Controlled Trial of 3.0 mg of Liraglutide in Weight PLOS ONE Lifestyle and drug intervention for prevention of microvascular complications in pre-diabetes - ePREDICE. PLOS ONE | https://doi.org/10.1371/journal.pone.0231196 April 13, 2020 21 / 23 Management. N Engl J Med. 2015; 373:11–22. https://doi.org/10.1056/NEJMoa1411892 PMID: 26132939 21. Diabetes Prevention Program Research Group. Long-term effects of lifestyle intervention or metformin on diabetes development and microvascular complications over 15-year follow-up: the Diabetes Pre- vention Program Outcomes Study. Lancet Diabetes Endocrinol. 2015; 3: 866–75 https://doi.org/10. 1016/S2213-8587(15)00291-0 PMID: 26377054 22. Rosenstock J, Perkovic V, Johansen OE, Cooper ME, Kahn SE, Marx N, et al; CARMELINA Investiga- tors. Effect of Linagliptin vs Placebo on Major Cardiovascular Events in Adults With Type 2 Diabetes and High Cardiovascular and Renal Risk: The CARMELINA Randomized Clinical Trial. JAMA. 2019; 321:69–79. https://doi.org/10.1001/jama.2018.18269 PMID: 30418475 23. Tuomilehto J, Lindstro¨m J, Eriksson JG, Valle TT, Ha¨ma¨la¨inen H, Ilanne-Parikka P, et al. Finnish Diabe- tes Prevention Study Group. Prevention of type 2 diabetes mellitus by changes in lifestyle among sub- jects with impaired glucose tolerance. N Engl J Med. 2001; 344:1343–50. https://doi.org/10.1056/ NEJM200105033441801 PMID: 11333990 24. Tesfaye S, Boulton AJ, Dyck PJ, Freeman R, Horowitz M, Kempler P, et al; Toronto Diabetic Neuropa- thy Expert Group. Diabetic neuropathies: update on definitions, diagnostic criteria, estimation of sever- ity, and treatments. Diabetes Care 2010; 33:2285–93 https://doi.org/10.2337/dc10-1303 PMID: 20876709 25. Early Treatment Diabetic Retinopathy Study Research Group (ETDRS). Fundus photographic risk fac- tors for progression of diabetic retinopathy. ETDRS report no. 12. Ophthalmology 1991; 83:823–833. 26. Mayaudon H, Miloche PO, Bauduceau B. A new simple method to assess sudomotor function: interest in type 2 diabetes. Diabetes & Metabolism. 2010; 36:450–4. 27. Earley A, Miskulin D, Lamb EJ, Levey AS, Uhlig K. Estimating equations for glomerular filtration rate in the era of creatinine standardization: a systematic review. Ann Intern Med. 2012; 156:785–95. https:// doi.org/10.7326/0003-4819-156-6-201203200-00391 PMID: 22312131 28. Sayah FA, Qiu W, Xie F, Johnson JA. Comparative performance of the EQ-5D-5L and SF-6D index scores in adults with type 2 diabetes. Qual Life Res. 2017 Aug; 26(8):2057–2066. https://doi.org/10. 1007/s11136-017-1559-8 PMID: 28364183 29. Xiong Q, Lu B, Ye H, Wu X, Zhang T, Li Y. The Diagnostic Value of NeuropathySymptom and Change Score, Neuropathy Impairment Score and Michigan NeuropathyScreening Instrument for Diabetic Peripheral Neuropathy. Eur Neurol.2015; 74:323–7. https://doi.org/10.1159/000441449 PMID: 26684759 30. Tovilla-Za´rate C, Jua´rez-Rojop I, Peralta Jimenez Y, Jime´nez MA, Va´zquez S, et al. Prevalence of anxi- ety and depression among outpatients with type 2 diabetes in the Mexican population. PLoS One.2012; 7(5):e36887. https://doi.org/10.1371/journal.pone.0036887 PMID: 22629339 31. Maia AC, Braga Ade A, Brouwers A, Nardi AE, Oliveira e Silva AC. Prevalence of psychiatric disorders in patients with diabetes types 1 and 2. Compr Psychiatry. 2012; 53:1169–73. https://doi.org/10.1016/j. comppsych.2012.03.011 PMID: 22521330 32. Chen RH, Jiang XZ, Zhao XH, Qin YL, Gu Z, Gu PL, et al. Risk factors of mild cognitive impairment in middle-aged patients with type 2 diabetes: a cross-section study. Ann Endocrinol (Paris). 2012; 73:208–12. 33. Guo X, Zhang Z, Zhu W, Lian N, Lu H, Zhao J. Cognitive functioning in schizophrenia with or without dia- betes. Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2011; 36:724–7. https://doi.org/10.3969/j.issn.1672- 7347.2011.08.004 PMID: 21937796 34. Mari A, Ferrannini E. Beta-cell function assessment from modelling of oral tests: an effective approach. Review Validation Studies. Diabetes Obes Metab 2008; 10 Suppl 4:77–87. 35. Hamburg NM, Keyes MJ, Larson MG, Vasan RS, Schnabel R, Pryde MM, et al. Cross-sectional rela- tions of digital vascular function to cardiovascular risk factors in the Framingham Heart Study. Circula- tion 2008; 117:2467–74. https://doi.org/10.1161/CIRCULATIONAHA.107.748574 PMID: 18458169 36. Bellentani S. The epidemiology of non-alcoholic fatty liver disease. Liver Int. 2017; 37 Suppl 1:81–84. 37. Golubic R, May AM, Benjaminsen Borch K, Overvad K, Charles MA, et al. Validity of electronically administered Recent Physical Activity Questionnaire (RPAQ) inten European countries. PLoS One 2014; 9:e92829. https://doi.org/10.1371/journal.pone.0092829 PMID: 24667343 38. Hemio¨ K, Po¨lo¨nen A, Ahonen K, Kosola M, Viitasalo K, Lindstro¨m J. A simple tool for diet evaluation in primary health care: validation of a 16-item food intake questionnaire. J Environ Res Public Health. 2014 Mar 4; 11(3):2683–97. 39. Martı´nez-Gonza´lez MA, Garcı´a-Arellano A, Toledo E, Salas-Salvado´ J, Buil-Cosiales P, Corella D, et al. A 14-Item Mediterranean Diet Assessment Tool and Obesity Indexes among High-Risk Subjects: PLOS ONE Lifestyle and drug intervention for prevention of microvascular complications in pre-diabetes - ePREDICE. PLOS ONE | https://doi.org/10.1371/journal.pone.0231196 April 13, 2020 22 / 23 The PREDIMED Trial. PloS One 2012; 7(8): e43134. https://doi.org/10.1371/journal.pone.0043134 PMID: 22905215 40. Domı´nguez LJ, Bes-Rastrollo M, de la Fuente-Arrillaga C, Toledo E, Beunza JJ, Barbagallo M, et al. Similar prediction of decreased total mortality, diabetes incidence or cardiovascular events using rela- tive- and absolute-component Mediterranean diet score: The SUN cohort. Nutr Metab Cardiovasc Dis 2013; 23:451–8. https://doi.org/10.1016/j.numecd.2011.10.009 PMID: 22402062 41. Hemmingsen B, Gimenez-Perez G, Mauricio D, Roque´ I Figuls M, Metzendorf MI, et al. Diet, physical activity or both for prevention or delay of type 2diabetes mellitus and its associated complications in people at increased risk ofdeveloping type 2 diabetes mellitus. Cochrane Database Syst Rev. 2017 Dec4; 12:CD003054. https://doi.org/10.1002/14651858.CD003054.pub4 PMID: 29205264 42. Cos FX, Barengo NC, Costa B, Mundet-Tudurı´ X, Lindstro¨m J, Tuomilehto JO; DE-PLAN Study Group. Screening for people with abnormal glucose metabolism in the European DE-PLAN project. Diabetes Res Clin Pract. 2015; 109:149–56. https://doi.org/10.1016/j.diabres.2015.04.016 PMID: 25931281 43. Papanas N, Ziegler D. Prediabetic neuropathy: does it exist? Curr Diab Rep. 2012; 12:376–83. https:// doi.org/10.1007/s11892-012-0278-3 PMID: 22562652 44. Raisanen A, Eklund J, Calvet JH, Tuomilehto J. Sudomotor function as a tool for cardiorespiratory fit- ness level evaluation: comparison with maximal exercise capacity. Int J Environ Res Public Health. 2014; 11:5839–48. https://doi.org/10.3390/ijerph110605839 PMID: 24886754 45. Melsom T, Schei J, Stefansson VT, Solbu MD, Jenssen TG, Mathisen UD, et al. Pre-diabetes and Risk of Glomerular Hyperfiltration and Albuminuria in the General Nondiabetic Population: A Prospective Cohort Study. Am J Kidney Dis. 2016; 67:841–50 https://doi.org/10.1053/j.ajkd.2015.10.025 PMID: 26744126 PLOS ONE Lifestyle and drug intervention for prevention of microvascular complications in pre-diabetes - ePREDICE. PLOS ONE | https://doi.org/10.1371/journal.pone.0231196 April 13, 2020 23 / 23