Diabetic Neuropathy Screening Study 1.1 + Substudy 1.2-1.3-1.4

Overview

The overall objective of this project is to describe the prevalence of and risk factors to diabetic neuropathy in a representative cohort of diabetes patients and to investigate pathophysiological conditions in those patients with neuropathy. This project will yield substantial new knowledge about the prevalence of diabetic neuropathy in type 1 and type 2 DM persons, new risk factors to neuropathy and the association to other diabetic complications. Findings related to the study may facilitate new treatment regimens prompting a better neuropathy treatment with reduced incidence of diabetic complications. First patients at SDCC will be screened for diabetic neuropathy (Study 1.1) with an extended neuropathy screening program as an addition to the routine neuropathy screening at SDCC. 1000 patients with type 1 DM and 1000 patients with type 2 DM will be included. This screening study is a prerequisite for the further study of study participants in substudies investigating associations between diabetic neuropathy and diabetic complications as described below. Hypothesis: Several patients with diabetes have undiagnosed neuropathy and associated diabetic complications. We hypothesize that diabetic neuropathy is underdiagnosed at SDCC and can be diagnosed with targeted screening with new and traditional measuring techniques. In addition, several patients may have complications related to neuropathy, including foot complications, and dysregulation of glucose metabolism Aim: This study consists of a screening study (study 1.1) and two substudies (1.2 and 1.3 ). Study 1.1 is a cross-sectional study describing the prevalence of diabetic neuropathy based on questionnaire data and objective measures as described below and associated diabetic complications including foot complications. The primary aim is to explore the prevalence of diabatic neuropathy in patients with type 1 and type 2 DM at SDCC and secondarily to explore associations between diabetic neuropathy and complications, as described in the respective sections below. The substudy 1.2 is an observational single center cohort study with the aim of investigating associations between neuropathy diagnosed with new devices for measurement of neuropathy and foot complications in patients with type 1 and type 2 diabetes. The substudy 1.3 is an observational single center cohort study investigating the association between CAN and glycemic variability in patients with type 1 diabetes.

Study 1.1 Diabetic Neuropathy Screening Study Objective The objective of this study is to investigate the prevalence of diabetic neuropathy at the outpatient clinic of SDCC and to investigate the association between diabetic neuropathy and diabetic complications. Aims Primary aims * To describe the prevalence of the following kinds of diabetic neuropathy in a representative subset of type 1 and type 2 DM persons at SDCC: * peripheral neuropathy assessed by traditional screening tools * peripheral neuropathy assessed by novel screening tools * autonomic neuropathy assessed by novel point-of-care screening tools * peripheral and autonomic neuropathy assessed by validated neuropathy questionnaires Secondary aims * To explore the association between: * the above-mentioned forms of neuropathy and possible risk factors for neuropathy such as HbA1c, urine albumin-creatinine-ratio, incidences of severe hypoglycaemia and ketoacidosis, BMI, vitamin B12, levels of SpO2 and quantitative measures of diabetic neuropathy * the above-mentioned forms of neuropathy questionnaire data on mental health and wellbeing Tertiary aim •Study participants will be followed-up in national patient registries for mortality and morbidity at approximately 5, 10 and 15 years after examination and association studies to study outcomes and future disease and cause of death will be made Study Design: A cross-sectional study describing the prevalence of diabetic neuropathy based on questionnaire data and objective measures and their association to prevalent diabetic complications including. The duration of inclusion of participants in the study is estimated to be 3 years. Measures: Baseline data: Medication status, DM status, diagnoses of other diseases, diabetic complications, height, weight, retinopathy status, body mass index (BMI), smoking status, alcohol status Data collection and examinations: detailed description on "Groups and Interventions" Blood sugar Will be measured by capillary blood glucose measures of finger prick blood sample Questionnaires: All questionnaires are validated and in Danish. Compass 31, Michigan Neuropathy Screening (MNSI), DN4, Patient Assessment of Gastrointestinal Disorders Symptom Severity Index (PAGI-SYM), The gastrointestinal symptom rating scale (GSRS), The World Health Organization- Five Well-Being Index (WHO-5), Participant Health Questionnaire (PHQ-9), Pedersen-Bjergaard questionnaire, Gold questionnaire and others, Brief Pain Inventory (BPI), IIEF, FSFIF, DistressScale Recruitment Participants will be recruited at two SDCC outpatient clinics: at Niels Steensens vej 4, 2860 Gentofte, Denmark and Gentofte Hospitalsvej 1, st. tv., 2900 Hellerup, Denmark. Ethical approval Before study initiation the study will be approved by the regional ethical committee and by the Danish data protection agency. Guidelines from Danish data protection guidelines be followed throughout the process. All patient data will be stored and treated in accordance with regulation 2016/679 from the European parliament on the protection of natural patients with regard to the processing of personal data and on the free movement of such data, dated 27 April 2016(27), and the Danish amendment to regulation 2016/679(28). Statistics The associations between determinants and outcome measures will be estimated by using complete-case regression models adjusting for relevant confounders including age, sex and diabetes duration. Logistic regression analyses will be used for binary outcomes. Linear regression analyses will be used for continuous outcomes. Outcome variables will be log-transformed using the natural logarithm to meet model assumptions of the distribution of the model residuals if necessary. Interactions between sex and all determinants will be investigated in all models to investigate possible sex interactions differences. A level of significance of 5% will be used. Sample size estimation: as this is a prevalence study a power calculation is not possible. As the aim is to describe neuropathy prevalence in a representative sample of patients, the investigators aim to assessed 50% of the patient population at SDCC by consecutively examining all patients at their yearly status examination. The investigators aim to examine 2000 participants in total. Analyses will be performed using SAS version 9.3(SAS Institute, Cary, NC). Substudy 1.2 Diabetic neuropathy and foot complications Objective The overall objective of this study is to investigate the association between diabetic neuropathy diagnosed with established and novel measuring techniques and foot complications Aims Primary aim •To describe the association between neuropathy diagnosed by novel point-of-care screening tools and foot complications in age and gender matched type 1 and type 2 diabetes patients at SDCC. Secondary aim •To compare the prevalence of foot complications in participants with neuropathy diagnosed by novel point-of-care screening tools and traditional point-of-care screening tools, in age and gender matched type 1 and type 2 diabetes patients at SDCC. Participants: 300 participants older than 39 years of age with type 1 or type 2 diabetes at SDCC will be included in this study. The participants included must be diagnosed with peripheral neuropathy in the screening study. 150 participants with neuropathy diagnosed with novel assessment methods will be age and gender matched with 150 participants with neuropathy diagnosed with traditional methods. Measures Results from neuropathy examinations and questionnaires are already sampled in study 1.1 and will be incorporated in the study. Routine foot examination, which include * Examination for foot ulcers, infection, cellosites, nail deformities, edema, * Assessment of Charcot foot, walk, footwear Expanded foot examination, which include: * Assessment for deformities (Hallux valgus, hallux rigidus, pes planus, pes cavus, low forefoot, hammertoes, valgus/varus hindfod. Wide-ranging forefoot) * Examination of the foot length and with * 2 clinical photos with iphone (loaded and unloaded to Sundhedsplatformen) for clinical documentation. * Assessment of insoles. Statistics The associations between determinants and outcome measures will be estimated by using complete-case regression models adjusting for relevant confounders including age, sex and diabetes duration. Logistic regression analyses will be used for binary outcomes. Linear regression analyses will be used for continuous outcomes. Outcome variables will be log-transformed using the natural logarithm to meet model assumptions of the distribution of the model residuals if necessary. Interactions between sex and all determinants will be investigated in all models to investigate possible sex interactions differences. A level of significance of 5% will be used. Analyses will be performed using SAS version 9.3 (SAS Institute, Cary, NC). Sample size estimation: as this is an exploratory study with no prior similar studies performed a power calculation is not possible. The investigators assess that comparing 150 participants diagnosed with novel assessment methods with 150 age and gender matched participants with neuropathy diagnosed with traditional methods will be sufficient to investigate differences in foot complication prevalence between the groups. Substudy 1.3 Cardiovascular autonomy neuropathy and glucose variability Objective The overall objective of this study is to investigate if patients with type 1 diabetes and CAN have a larger glucose variability compared to similar patients without CAN. Primary aim * To investigate differences in SD (standard deviation) in 30 participants with and participants without CAN Secondary aims * To investigate differences in CV (Coefficient of Variation), time spent in hyperglycaemia, time spent in hypoglycaemia, CONGA, MAGE in participants with and without CAN. * To investigate associations between continuous measures of CAN and indices of glucose variability Tertiary aims * To investigate the association between CAN and hypoglycaemic unawareness. * To investigate the association between symptoms of CAN and glucose variability. Study Design 30 participants with type 1 diabetes with CAN will be enrolled and compare with 30 age and sex matched type 1 diabetes participants without CAN. If it is not possible to enroll enough study participants patients will be recruited by using data from electronic patient records at SDCC containing data on 600 type 2 patients screened for CAN between 2013-2014. Information about civil registration number, phone number, address, diagnosis of type 1 diabetes, age, gender and historic data on CAN on outpatients at Steno Diabetes Center Copenhagen is provided by the treatment-responsible doctor and passed on to the study investigator. This information is used for identifying possible participants and recruitment. First contact will be a letter containing the written participant information and the brochure: "The participants rights as a participant in biomedical research". In the letter, possible participants will be invited to the information meeting at Steno Diabetes Center Copenhagen. The letter contains telephone number and email for the project-responsible doctor. Non-responders will be followed up by a telephone contact approximately two weeks later. Power calculation As mentioned the CAN diagnosis has be shown to trend toward a significant association to CV by Nyiraty et al (39). With reference to that study the investigators hypotie that a difference in SD of 0.2 mmol/L is detectable (and relevant) between CAN and non-CAN patient. In this study the standard deviation of SD was approximately 0.2 mmol/L. With 90% power and a two-sided significance level of 0.05 the sample size needed to detect the abovementioned difference is 23 in each group - 46 participant in total. Taking a drop-out ratio of 10% into account and given the inaccurate nature of this power calculation the sample size of the study will be 30 participants in each group. The prevalence of CAN at SDCC is 15 %. Thus, a screening of approximately 200 participants is needed to obtain the target participant number. 60 participants in total. Methods and measures Participants Type 1 diabetes participants will be recruited from the screening (study 1.1.) Methods CAN will be assessed by Cardiovascular reflex tests and heart rate variability indices (Vagus™ device). Glucose variability will be assessed by use of 10 days continuous glucose monitoring attached to the skin of the participant with the Dexcom G6 sensor, transmitter and receiver. Several glucose variability indices will be assessed e.g. CV, MAGE, CONGA, time spent in hypoglycaemia, time spent in hyperglycemia. Hypoglycemia unawareness will be assessed by the Pedersen-Bjergaard, the Gold questionnaire and others. Measures * Cardiovascular autonomic neuropathy testing with Vagustm device both resting heart rate variability and cardiovascular reflex tests (20 minutes) (as described in study 1.1) * Insertion of continuous glucose monitor ( The Dexcom G6 Device) (15 minutes) Recruitment Participants for this study will be participants who have been screened in study 1.1. Statistics The associations between determinants and outcome measures will be estimated by using regression models adjusting for relevant confounders including age, sex and diabetes duration. Logistic regression analyses will be used for binary outcomes. Linear regression analyses will be used for continuous outcomes. Outcome variables will be log-transformed using the natural logarithm to meet model assumptions of the distribution of the model residuals if necessary. Interactions between sex and all determinants will be investigated in all models to investigate possible sex interactions differences. Analyses will be performed using SAS version 9.3 (SAS Institute, Cary, NC).