Protocol for the specialist supervised individualised multifactorial treatment of new clinically diagnosed type 2 diabetes in general practice (IDA): a prospective controlled multicentre open-label intervention study.

INTRODUCTION: We present the protocol for a multifactorial intervention study designed to test whether individualised treatment, based on pathophysiological phenotyping and individualised treatment goals, improves type 2 diabetes (T2D) outcomes. METHODS AND ANALYSIS: We will conduct a prospective controlled multicentre open-label intervention study, drawing on the longitudinal cohort of the Danish Centre for Strategic Research in Type 2 Diabetes (DD2). New clinically diagnosed patients with T2D in the intervention group will be assigned to receive individualised treatment by their general practitioner. Intervention patients will be compared with a matched control cohort of DD2 patients receiving routine clinical care. Among intervention patients, we will first do pathophysiological phenotyping to classify patients into WHO-defined T2D or other specific types of diabetes (monogenic diabetes, secondary diabetes etc). Patients with WHO-defined T2D will then be further subcharacterised by their beta-cell function (BCF) and insulin sensitivity (IS), using the revised homeostatic assessment model, as having either insulinopaenic T2D (high IS and low BCF), classical T2D (low IS and low BCF) or hyperinsulinaemic T2D (low IS and high BCF). For each subtype, a specific treatment algorithm will target the primary pathophysiological defect. Similarly, antihypertensive treatment will be targeted at the specific underlying pathophysiology, characterised by impedance cardiography (relative importance of vascular resistance, intravascular volume and cardiac inotropy). All treatment goals will be based on individual patient assessment of expected positive versus adverse effects. Web-based and face-to-face individualised lifestyle intervention will also be implemented to empower patients to make a sustainable improvement in daily physical activity and to change to a low-carbohydrate diet. ETHICS AND DISSEMINATION: The study will use well-known pharmacological agents according to their labels; patient safety is therefore considered high. Study results will be published in international peer-reviewed journals. TRIAL REGISTRATION NUMBER: NCT02015130; Pre-results. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

The ‘Individualised treatment of newly clinical diagnosed T2D in general practice’ study is a nationwide intervention study in primary care, based on a close cooperation between hospital-based diabetes specialists and general practitioners.

Endocrinological assessment of pathophysiological phenotypes will form the basis for individual treatment algorithms, made readily available to primary healthcare providers.

The study will clarify if an individualised approach to the pharmacological and lifestyle treatment of T2D with individualised treatment goals is associated with a range of improved hard outcomes in everyday clinical practice, including microvascular and macrovascular complications and death.

The study is not randomised, and potential differences in prognostic factors between intervention and control patients need to be addressed by rigorous statistical methods.

Existing high-quality healthcare registries will be used for assessment of outcomes, rather than primary adjudication of endpoints.

Introduction

Importance of individualised glycaemic control

Although current advances in type 2 diabetes (T2D) treatment have reduced mortality1 and possibly complications2 among patients with T2D, they still suffer excess mortality compared with people without diabetes.3 Poor glycaemic control has been linked to cardiovascular morbidity, even below the threshold for diabetes,4 although increased mortality is also seen in the lowest 10th percentile of haemoglobin A1c (HbA1c) values.5 This has led to several trials testing intensive glucose-lowering against moderate glucose-lowering strategies.6–8 Their results have been inconclusive, and a meta-analysis of trials of intensive glucose lowering found no effect on mortality (risk ratio (RR) 1.04, 0.91–1.19) or cardiovascular mortality (RR 1.11, 0.86–1.43). A significant effect (RR 0.85, 0.74–0.96) was observed for non-fatal myocardial infarction, although in analyses restricted to high-quality studies, there was no favourable effect for any myocardial infarction (RR 1.34, 0.77–2.35). In addition, a potential effect was observed for new or worsening retinopathy (RR 0.85, 0.71–1.03).9 10 On the other hand, intensive glucose control was associated with a significant increase in severe hypoglycaemic events (RR 2.33, 1.62–3.36).9 The analysed trials are heterogeneous with respect to diabetes duration among included patients and achieved HbA1c. In the UK Prospective Diabetes Study, intensive glucose lowering to an HbA1c of 7.0% in newly diagnosed T2D was associated with reduced all-cause mortality,11–13 and this has recently been confirmed in an observational study design.14 Intensive glucose lowering of HbA1c to 6.4% in the The Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial among patients with longer duration of diabetes was associated with an increased risk of all-cause and cardiovascular mortality.6 15 Post hoc analyses of The Action in Diabetes and Vascular Disease: Preterax and Diamicron Modified Release Controlled Evaluation (ADVANCE) study, which sought to determine the effect on cardiovascular disease (CVD) of intensive glucose-lowering compared with standard glucose-lowering treatment, have shown that patients with severe hypoglycaemic events have a higher incidence of microvascular and macrovascular events as well as mortality.16 Together, these results indicate the necessity for an individualised approach, with differentiated goals for glycaemic control. A tight glycaemic goal of 48 mmol/mol seems relevant for many patients with newly diagnosed T2D, while patients with former CVD, neuropathy or high risk of hypoglycaemic events arguably could aim for an HbA1c below 58 mmol/mol.17 Frail patients should aim for relief of hyperglycaemic symptoms and treatment should confer a very low hypoglycaemic risk.17

Non-vascular outcomes in T2D become increasingly important these years. The incidence of cancer overall and of several specific cancers is substantially increased in patients with T2D compared with persons without diabetes,18 19 and also mortality from cancer is increased.20 Whether specific glucose-lowering therapies are associated with increased or reduced risk of cancer remains uncertain. A meta-analysis has reported a possibly reduced cancer risk with metformin and thiazolidinedione therapy, and an increased risk with insulin, sulfonylurea and alpha glucosidase inhibitor use. When the meta-analysis was restricted to randomised controlled trials (RCTs), these associations could not be confirmed, with the limitation that most RCTs are too short to properly elucidate cancer risk and have heterogeneous comparators.21 These uncertainties highlight the need for long-term evaluation of therapy not only with regard to microvascular and macrovascular disease but also with respect to cancer risk.

Improved glycaemic control through better pathophysiological phenotyping

Diabetes is classified into type 1 diabetes, T2D, other specific types of diabetes and gestational diabetes.22 It has become increasingly clear that diabetes is a more heterogeneous disease.23 Data from the Danish Centre for Strategic Research in Type 2 Diabetes (DD2) show that in clinical practice, patients with other specific types of diabetes than T2D (for example, glucocorticoid-induced diabetes, late autoimmune diabetes of the adult or secondary diabetes) are often misclassified as patients with classical WHO-defined T2D. As the pathophysiology of other specific types of diabetes is potentially different from classical WHO-defined T2D,24 poor glycaemic control could be a consequence if the given treatment does not address the underlying pathophysiological defect. Moreover, DD2 data also show that the classical WHO-defined T2D population is heterogeneous and may be further classified according to pathophysiological phenotypes, with potential implications for appropriate glucose-lowering treatment.25 In addition, ethnic differences in the pathophysiology of T2D have been reported,26 27 underlining the importance of both interethnical and intraethnical heterogeneity in T2D.

Importance of individualised blood pressure control

Elevated blood pressure in patients with T2D is associated with cardiovascular death, starting with a systolic blood pressure of 120 mm Hg.28 A recent meta-analysis concluded that when systolic office blood pressure was below 140 mm Hg, further reduction in blood pressure was associated with increased risk of cardiovascular death in patients with diabetes.29 However, even under optimal conditions, blood pressure control is very difficult to achieve, with only 50% of patients reaching a systolic blood pressure below 140 mm Hg.30 Impedance cardiography has been shown to increase the proportion of patients who achieve blood pressure control.31 A recent study in a specialised hypertension clinic could not replicate this finding, although the incidence of adverse events was significantly reduced in patients in the impedance group.32 Impedance cardiography offers an assessment of cardiac contractility, vascular resistance and intravascular volume. In the ‘Individualised treatment of newly clinical diagnosed T2D in general practice’ (IDA) study, these estimates will be used to guide selection of antihypertensive treatment in order to obtain better blood pressure control and to reduce side effects.

Importance of individualised lifestyle changes

Lifestyle changes are the first-choice treatment for patients with newly diagnosed T2D. However, such changes are often difficult to implement and also costly if they need to be supervised. Promoting individualised lifestyle changes will be an important part of this study. Our aim is to provide evidence-based lifestyle interventions that are feasible to implement on an everyday basis. We hope to empower patients to implement changes in their everyday life via face-to-face consultations and novel individualised supportive E-health solutions. We plan to identify and describe patients who will benefit clinically from the E-health solutions being offered and to use this knowledge for large-scale implementation of individualised E-health technology in daily clinical practice.

Importance of multifactorial management of T2D

The Steno 2 study underlined the importance of multifactorial intervention in longer-standing T2D with a marked and durable reduction in morbidity and mortality associated with multifactorial intervention.1 A multifactorial approach is also emphasised in the current diabetes guidelines.17 33 In the current study, we therefore aim to develop specific individualised approaches to the various components of a multifactorial intervention.

Importance of diabetes management in general practice

Primary healthcare providers have an integrated knowledge of the medical history, social status and family relationships of their patients, together with a general knowledge of treatment. IDA is designed to integrate specialist knowledge and examinations into the treatment of patients in primary care. Endocrinological assessment of pathophysiological phenotypes will form the basis for individual treatment algorithms, made readily available to primary healthcare providers.

Hypothesis

We hypothesise that individualised treatment based on pathophysiological traits and a new guidance strategy will improve glycaemic and blood pressure regulation and reduce complications in patients with clinically diagnosed T2D compared with outcomes under current guidelines. We hypothesise that individualised treatment will reduce side effects and polypharmacy, thereby improving patient compliance and quality of life. Furthermore, we hypothesise that an individually tailored approach has the potential to improve the cost–benefit ratio of T2D treatment.

Aim

The study’s aim is to investigate the effect of a new treatment concept for patients with T2D based on personalised treatment in general practice supervised by specialists. Treatment goals, lifestyle interventions and pharmacological treatment will be individualised. Medication choices will be based on pathophysiological measurements of possible underlying causes of hyperglycaemia and hypertension in individual patients.

Objectives

The primary objective of the study is to assess the effect of individualised, multifactorial, interactive and supervised treatment in patients with T2D compared with treatment based on contemporary guidelines. The composite clinical outcome measure will encompass all-cause mortality, microvascular and macrovascular complications, cancer and hypoglycaemia. Secondary objectives are to assess effects on individual clinical outcomes, socioeconomic costs and quality of life.

Methods and analysis

Setting and design

The study is designed as a prospective controlled multicentre open-label study of a controlled intervention in the longitudinal DD2 cohort. Newly diagnosed patients with T2D are enrolled prospectively in the population-based DD2 cohort. At baseline, the DD2 project collects interview data and biobank blood and urine samples.34 35 Following enrolment, each participant is followed over time using data in nationwide registries.36 The registries have documented high validity.37–39 The collected data in the study are summarised in table 1. This study is one of several planned studies drawing on the cohort.40

Table 1

Data sources

Variables	Source	Intervention	Control
Baseline biochemical measurements from whole blood, plasma and urine (eg, C-peptide and Glutamic Acid Decarboxylase antibodies (GAD-ab))	DD2 biobank	Yes	Yes
DNA samples	DD2 biobank	Yes	Yes
Baseline clinical variables (smoking, physical exercise, alcohol consumption)	DD2 interview	Yes	Yes
Longitudinal clinical biochemical measurements (HbA1c, lipids, s-creatinine, urine albumin–creatinine ratio)	Danish Diabetes Database for Adults	Yes	Yes
Longitudinal clinical measures (BMI, waist circumference, blood pressure, smoking)	Danish Diabetes Database for Adults	Yes	Yes
Medical history at baseline (hospital contact history)	The Danish National Patient Register	Yes	Yes
Medical events during the study (hospital contacts)	The Danish National Patient Register	Yes	Yes
Medication prior to baseline	The Danish National Prescription Registry	Yes	Yes
Medication during the study	The Danish National Prescription Registry	Yes	Yes
Intended medication	National electronic medicine chart Fælles medicinkort (FMK)	Yes	Yes
Socioeconomic variables	Statistics Denmark	Yes	Yes
Quality of life at baseline and longitudinally	DD2	Yes	Yes
Cardiovascular surrogate markers obtained at IDA examinations	Study measurements	Yes	No
Daily physical activity at IDA examinations	Study measurements	Yes	No
Patient-reported medical history and medication use	Study interview	Yes	No
Cardiac impedance	Study measurement	Yes	No
Blood pressure and HbA1c goal	DD2	Yes	Not relevant

BMI, body mass index; DD2, Danish Centre for Strategic Research in Type 2 Diabetes; HbA1c, haemoglobin A1c; IDA, Individualised treatment of newly clinical diagnosed T2D in general practice study.

The study setting will be community based. Patients in the intervention group will be recruited and treated by their general practitioners (GPs). Patients in the control group will be passive study participants, followed longitudinally using information from the DD2 cohort and biobank41 and linked longitudinally to national registries. The biobank contains whole blood, plasma, DNA and urine samples. Patients in the intervention group will be recruited over 3 years, with clinical examinations at baseline and after 2, 4 and 10 years. The project timeline is shown in figure 1.

Figure 1

Study timeline.

The project builds on the concept of shared care, where specialist knowledge is expanded into the primary care sector. For GPs participating in the study, specialist input regarding the patient’s phenotype and the recommended individualised treatment hereof will be delivered electronically to each patient’s electronic health record at initiation and regularly during the study. Specialist counselling is also available by phone during the day.

Patients and recruitment

A flowchart of GPs participating in DD2 and IDA is provided in figure 2. Patients in the intervention group will be recruited from GPs in the region of southern Denmark and the region of Zealand participating in both the DD2 cohort and the IDA study. Patients in the control group will be recruited from GPs participating in the DD2 cohort but not in the IDA study. The selection process for patients in the two groups will be different and adjustment for differences in prognostic factors at baseline is therefore warranted as described in the statistical section.

Figure 2

Recruitment flowchart at general practitioner (GP) level. DD2, Danish Centre for Strategic Research in Type 2 Diabetes; IDA, Individualised treatment of newly clinical diagnosed T2D in general practice study.

Intervention patients

A flowchart of recruitment is provided in figure 3A. Participating IDA GPs will be responsible for the initial patient contact, including collection of brief general patient information. If a DD2 patient is interested in the study, the GP automatically will register the patient in the DD2 website, triggering contact by a study nurse who will give the patient detailed study information. This will occur either by phone or during an initial informational meeting. Collection of in-depth patient information, informed consent and additional screening will take place at central study hospitals prior to the baseline examination.

Figure 3

Recruitment (A) and general practitioner (GP) contacts in the intervention group (B). DD2, Danish Centre for Strategic Research in Type 2 Diabetes; IDA, Individualised treatment of newly clinical diagnosed T2D in general practice study; OPC, Outpatient clinic; T2D, type 2 diabetes.

The following patient inclusion criteria will be used:

Member of the DD2 cohort.42

Patient at a GP participating in the IDA study.

Not diagnosed with type 1 diabetes, defined as age <30 years at DD2 enrolment, fasting C-peptide <300 pM and GAD65-ab >20 IU/mL (see below).

Life expectancy above 2 years.

No participation in other clinical trials.

Willing to provide written informed consent.

Control patients

Patients for the control group will be recruited from DD2 clinics throughout Denmark not participating in the IDA study (figure 2). Availability of valid biobanked samples for measuring GAD-ab, P-glucose and C-peptide will be required to join the control group. As the control group will be created within DD2, neither GP nor patient will be informed, ensuring that the control group is truly blinded.

Patient examination in the intervention group

Screening will take place at the following four central study sites: Odense University Hospital, Hospital of Southwest Denmark, Næstved Lægecenter and Holbæk Hospital. A written informed consent will be signed at the baseline visit prior to initiating examination of study participants.

Phenotype evaluation will be performed at the central sites at baseline and after 24 and 48 months. Medical history, medication use and measures used in the phenotype evaluation will be obtained from the patient. Fasting plasma glucose, GAD65-antibody and fasting C-peptide will be ascertained from the DD2 database. Repeat measures of cardiac impedance and unobserved automated blood pressure will be taken at the central sites at the following time points, determined by prior blood pressure values:

Blood pressure (BP) ≤135/85 mm Hg: impedance measurement repeated after 24 months.

135/85 mm Hg

BP >145/95 mm Hg: impedance measurement repeated after 6, 12 and 24 months.

The results of the phenotype evaluation for each specific patient will be assessed at Odense University Hospital and the patient-specific protocol recommendations sent to the patient’s GP via the electronic health record.

Treatment and implementation of the phenotype evaluation will take place at the GP’s office every third month or at the discretion of the GP (figure 3B). The GP will measure HbA1c, the lipid profile, the albumin–creatinine ratio, creatinine and BMI annually. The GP will report treatment goals and any reasons for protocol deviations annually.

Daily physical activity

To measure daily physical activity level, a Axivity AX3 accelerometer (Axivity, Newcastle, UK) will be taped on the thigh and on the lower back. The AX3 is an 11 g and 23×32.5×7.6 mm weatherproof accelerometer with a 512 MB internal memory and clock. Accelerometers will be fixed directly on the skin using waterproof taping. Subjects will be instructed to wear the accelerometers at all times (including water activities and sleep) during a 10-day period and additional tape will be provided to patients at examination. The accelerometer on the back will be placed on the right side, above the upper point of the posterior iliac crest and next to the spine with its positive x-axis pointing downward and its negative z-axis pointing forward. The accelerometer on the thigh will be placed on the medial front of the right thigh, midway between the hip and knee joints, with its positive x-axis pointing downward and its negative z-axis pointing forward. A sampling rate of 50 Hz will be used and data stored in the original cwa Axivity file format, but also converted into a binary gt3x compatible file format using a custom-made add-on to OmGui Axivity software. Accelerometer wear time has recently been reported to be high.43 Patients will be closely instructed how to reattach the accelerometer in case it falls off.

Cardiovascular surrogate markers

Patients with clinically diagnosed T2D within 2 years of their baseline examination will be invited to participate in additional evaluation of the following cardiovascular surrogate markers:

24-hour ambulatory blood pressure monitoring (24ABPM)

24ABPM will be implemented by means of brachial oscillometric measurements, using the Mobil-O-Graph system (IEM, Stolberg, Germany). The device will be set to measure BP every 15 min during the day (07:00–23:00) and every 30 min during the night (23:00–07:00). The patient will be instructed to record when s/he went to bed and got up.

Skin autofluorescence (SAF) to evaluate advanced glycosolated end-products

SAF will be measured using the AGE Reader (DiagnOptics Technologies, Groningen, The Netherlands). Technical details of this non-invasive device have previously been described in detail.44

Low-dose non-contrast CT scan to detect coronary artery calcification

The atherosclerotic plaque burden in the coronary, carotid, aortic and femoral arteries will be estimated by measuring calcium during a 64-slice CT scan (Discovery VCT; GE Healthcare, Milwaukee, Wisconsin, USA) conducted at Odense University Hospital. The scan will be performed with the following parameters: gantry rotation time 500 ms, 16×2.5 mm collimation, 120 kV tube voltage, 200 mA tube current and a prospectively ECG-triggered scan acquisition gating at 50% of the R–R interval. Scan data will be acquired during an inspiratory breath hold. The coronary artery calcium (CAC) Agatston score is computed by summing the CAC scores of all foci in the epicardial coronary system.

Ultrasound of the carotid arteries to evaluate intima–media thickness (IMT) and plaques

IMT will be measured by B-mode ultrasound (Model IE33; Koninklijke Philips Electronics, Eindhoven, The Netherlands), using a linear array transducer (L11-3 with a frequency up to 11 MHz), with acquisition of multi-insonation angles for subsequent analysis with automated edge detection software according to current guidelines.45

ECG for approximation of left ventricular hypertrophy (LVH)

ECG will be measured digitally (EC Sense Lexor; Cardiolex, Solna, Sweden). The following measures of LVH will be calculated:

Cornell voltage–duration product, defined as the sum of voltage of SV3 and RaVL multiplied by QRS duration (in women, 0.6 mV is added to the voltage).

Sokolow-Lyon voltage, defined as the sum of SV1 and R in V5 or V6, depending on which is larger.

Fundus photo to evaluate retinal vascular changes

Retinal vascular changes will be assessed through retinal imaging. Two methods will be employed to assess diabetic retinopathy and vascular damage:

Diabetic retinopathy will be graded using the Early Treatment of Diabetic Retinopathy Study classification.46 Grading is performed in seven standard fields. The assessed characteristics are graded in specific fields and/or multiple fields. The grading encompasses the following characteristics: microaneurysm, haemorrhages, hard exudates, soft exudates, intraretinal microvascular abnormalities, venous abnormalities, new vessels on disc or elsewhere, preretinal haemorrhage, vitreous haemorrhage, scars of prior photocoagulation and clinically significant macular oedema.

The retinal arteriolar and venular calibre as described by Hubbard et al.47 All venules and arterioles in the area half to one disc diameter from the disc margin of the diameter are measured and an averaged measure is derived. The ratio of the venular and arteriolar diameters also is derived.

Retinal photos will be taken after dilation of both eyes with one drop of 10% metaoxedrin and mydriacyl 5 mg/mL. After 10 min, this will be repeated. After a total of 20 min, six pictures will be taken of each eye.

All photographs will be assessed for retinopathy locally as part of the patients’ regular screening. Trained ophthalmologists at the Department of Ophthalmology, Odense University Hospital, then will assess retinopathy with the methods described above.

Surrogate marker evaluation will take place at baseline and again at 2 and 4 years of follow-up.

Study interventions

Patients in the control group will not receive study-related interventions, but rather will be treated by their GP according to national guidelines. Patients in the intervention group will receive multifactorial individualised treatment as outlined below. The outline of treatment will be subject to revision during the study if substantial new clinical evidence emerges. The suggested individualised treatment in the intervention group is made available to the treating GP, but the actual treatment is chosen at the discretion of the GP together with the patient. The intervention is designed to mimic the actual real-life effect of specialist treatment suggestions. Patients who do not follow the proposed algorithms are therefore not discontinued.

Antidiabetic treatment based on pathophysiological phenotypes

Pathophysiological phenotyping will provide the basis for individually guided treatment. At inclusion, patients with ‘other specific forms of diabetes’ will be identified. The remaining patients with classical WHO-defined T2D will be characterised according to their insulin sensitivity (IS) and beta-cell function (BCF). Of note, the subphenotyping and treatment of patients with WHO-defined T2D is constructed for patients of Caucasian inheritance (very few Danish citizens are non-Caucasian) and cannot readily be extrapolated to other ethnicities.

Other specific types of diabetes are defined as follows:

Maturity-onset diabetes of the young (MODY). Patients will be screened for 10 monogenic causes of diabetes.

Late autoimmune diabetes of the adult (LADA). Defined as GAD65-ab ≥20 IU/mL.

Secondary diabetes. Defined as low BCF (HOMA2-beta<115.3%) and a history of pancreatitis or pancreas resection.

Steroid-associated diabetes, defined as use of oral glucocorticosteroids within 3 months of diabetes diagnosis. Genuine steroid-induced diabetes is present when it is known with certainty that diabetes was not present in the 3 months prior to steroid initiation. Patients with known prior T2D or with uncertainty about the timing of diabetes onset and steroid use will be allocated to one of the additional phenotypes described below.

Genuine WHO-defined T2D:

Insulinopaenic T2D. Defined as low BCF (HOMA2-beta<115.3%) and high IS (HOMA2-S≥63.5%).

Classical T2D. Defined as low BCF (HOMA2-beta<115.3%) and low IS (HOMA2-S<63.5%).

Hyperinsulinaemic T2D. Defined as high BCF (HOMA2-beta≥115.3%) and low IS (HOMA2-S<63.5%).

The classification is hierarchical. The phenotypes have been described previously.25 BCF and IS will be assessed using the HOMA2 model, calculated based on fasting C-peptide and fasting plasma glucose. HOMA2-beta is an estimate of the BCF and HOMA2-S is an estimate of the IS. In a healthy population without diabetes or impaired glucose tolerance, median HOMA2-beta was found to be 115.3% and median HOMA2-S was 63.5%. In the study population, values of HOMA2-beta or HOMA2-S above these medians will be defined as ‘high’, while values below the median will be defined as ‘low’.

Proposed treatment strategies in the study according to diabetes phenotypes are as follows. The treatment proposed for each phenotype is additive, starting with A. B is added if the treatment goal is not reached, and so on.

MODY. (1) Types 1 and 3 MODY should be treated with glimepiride or repaglinid. (2) Type 2 MODY should be treated with diet. Secondarily, basal insulin can be used. (3) Type 5 MODY should be treated with basal insulin. (4) Rare types of MODY should be treated individually according to specialist assessment.

LADA.

In patients who have IS and BCF equivalent to insulinopaenic and classic T2D:

(A) Metformin if BMI >25 kg/m2. (B) Basal insulin and meal-time insulin.

In patients who have IS and BCF equivalent to hyperinsulinaemic T2D:

Treatment equivalent to hyperinsulinaemic T2D (see below), with additional information on risk of rapid BCF deterioration and possible absolute need for insulin therapy.

Secondary diabetes. Basal and meal-time insulin.

Steroid-associated diabetes. (A) Meal-time insulin. (B) Metformin. (C) Basal insulin if fasting blood glucose is above 7.0.

Insulinopaenic T2D. (A) Metformin. (B) Basal insulin. (C) Meal-time insulin.

Classical T2D.

In patients without CVD: (A) Metformin. (B) GLP-1 analogue*. (C) Basal insulin. (D) Meal-time insulin.

In patients with former CVD: (A) Metformin. (B) SGLT-2 inhibitor. (C) GLP-1 analogue*. (D) Basal insulin. (E) Meal-time insulin.

Hyperinsulinaemic T2D. In patients with BMI >35 kg/m2, gastric bypass should be considered according to current national criteria and patient preference. Pharmacological treatment:

In patients without CVD: (A) Metformin. (B) GLP-1 analogue*. (C) Pioglitazone. (D) Basal insulin. (E) Meal-time insulin.

In patients with former CVD: (A) Metformin. (B) SGLT-2 inhibitor. (C) GLP-1 analogue*. (D) Pioglitazone. (E) Basal insulin. (F) Meal-time insulin.

Pioglitazone is not recommended for patients with heart failure, prior bladder cancer or known osteoporosis. If marked oedema develops, discontinuation of pioglitazone must be considered. Women should be informed about the increased risk of fractures with pioglitazone, alongside the reduced cardiovascular risk.

*DDP-4 inhibitors can be used if the patient does not want a GLP-1 analogue. It is recommended that a DDP-4 inhibitor be discontinued if insulin is initiated.

In patients of Asian inheritance with WHO-defined T2D, incretin-based treatment can be considered as first-line treatment.48 Type of drug within drug classes, dosing and titration will be chosen at the discretion of the treating physician. Suggestive algorithms will be available to the physicians.

Treatment of hyperglycaemia will proceed according to the following individual goals:

Optimal control of HbA1c <48 mmol/mol;

Acceptable control of HbA1c <58 mmol/mol; or

Free of symptoms, with best possible HbA1c achieved within this constraint.

All treatment algorithms will be applied according to these predetermined goals. GPs will be free to choose and reassess the goal applicable to an individual patient. In patients with neuropathy or pre-existing cardiovascular disease, careful goal assessment is needed. If a patient has a severe hypoglycaemic event, has repeated measures of blood glucose below 4.0 mmol/L or is therapy resistant, the goal should be reassessed. For an in-depth discussion of the motivation for the glucose-lowering algorithm, we refer to the online supplementary material.

Antihypertensive treatment

Treatment of hypertension will be guided by measurements of thoracic impedance, which provide estimates of vascular resistance, intravascular volume and cardiac inotropy. These measurements will be used to guide the pharmacological treatment of arterial hypertension. Principles of drug class choice will be as follows:

When hypertension or microalbuminuria are present, patients should be treated with an ACE inhibitor (or a angiotensin-2 antagonist), regardless of the result of the impedance measurement.

High vascular resistance, as the only abnormal impedance measure, should be treated with a calcium-channel blocker (CCB)(dihydropyridins) in addition to an ACE inhibitor.

High intravascular volume, as the only abnormal impedance measure, should be treated with a thiazide in addition to current antihypertensive treatment. If the patient already is receiving a thiazide in maximum dose, an aldosterone receptor antagonist should be added.

In cases of high vascular resistance and high intravascular volume (more than double the vascular resistance in relative terms), diuretics (thiazide or secondarily aldosterone receptor antagonist) should be increased, comparable to the maximum dose of one new drug. As a next step, a CCB should be added. Finally, an aldosterone receptor antagonist should be increased to its maximum dose.

In cases of high vascular resistance and high intravascular volume (but less than double the vascular resistance in relative terms), an ACE inhibitor or CCB should be added, depending on initial treatment. As a second measure, diuretics (thiazide or, less often, an aldosterone receptor antagonist) should be increased comparable to the maximum dose of one new drug. As a third measure, CCB should be titrated to its maximum dose. Finally, an aldosterone receptor antagonist can be increased to its maximum dose.

High inotropy is addressed only when the patient receives an ACE inhibitor, thiazide and CCB and the impedance measurement is made while the patient is receiving this treatment. Other abnormalities need to be addressed first. Carvedilol up to 50 mg is recommended.

The maximum dose of bendroflumethiazide is considered to be 5.0 mg, that for hydrochlorthiazide is 50 mg and that for spironolactone is 50 mg. In cases in which the estimated glomerular filtration rate (eGFR) is below 30 mL/min/1.73 m2, high ceiling diuretics are substituted for thiazides. Non-hypertensive indications for antihypertensive medication overrule this algorithm.

Impedance measurements also are used to downgrade antihypertensive treatment, in the following situations:

When inotropy is decreased, beta-blockers are terminated or the dose reduced.

When hypovolaemia is present, diuretics are terminated or the dose reduced.

When inotropy is decreased, vascular resistance is normal and blood pressure is regulated, CCBs can be reduced or terminated.

For patients with prior cardiovascular disease, chronic kidney disease (eGFR <60 mL/min/1.73 m2) or albuminuria, the goal of antihypertensive treatment will be to achieve a blood pressure <130/80 mm Hg on three drugs, measured as home blood pressure or with an automated blood pressure device. For other patients, the goal is blood pressure <135/80 mm Hg on three drugs. In cases in which control of blood pressure is not achieved with three antihypertensive drugs, the patient will be referred to a specialist clinic. Blood pressure below 120/70 mm Hg should be avoided, if necessary by means of down-titration, unless other considerations are present.

Hypertension at study inclusion will be defined by presence of antihypertensive treatment or a blood pressure measurement above or equal to 135/80 mm Hg in the office under standardised conditions using an automated blood pressure device (Mobilograf).

Treatment of dyslipidaemia

Treatment with atorvastatin or simvastatin 40 mg will be recommended for all patients, regardless of the level of low-density lipoprotein cholesterol (LDL-C). If the treatment goal is not met, atorvastatin 80 mg or rosuvastatin 40 mg will be recommended. Combining lipid-lowering drugs will not be recommended. The treatment goal will be LDL cholesterol ≤2.5 mM and LDL cholesterol ≤2.0 mM in patients with established CVD.

Termination of inefficient medication

The effect of a specific antidiabetic, antihypertensive or cholesterol-lowering treatment will be measured. The following efficacy requirements after titration to the full tolerable dose will need to be met:

Decline in HbA1c exceeding 0.5% within 3 months.

Decline in systolic blood pressure exceeding 5 mm Hg within 1 month.

Decline in LDL cholesterol exceeding 0.5 mM within 1 month.

If the target is not met, the specific treatment should be terminated and replaced by another drug according to the algorithm. The missing effect on blood pressure should be validated by home blood pressure measurements according to national guidelines. For antihypertensive medication, another drug within the same class can be tried.

Lifestyle interventions

Supportive individualised M-health initiatives and face-to-face consultations for promoting changes in lifestyle will be used in this study. The aim is to empower patients to achieve sustainable reductions in carbohydrate intake and increase the daily physical activity level.

In the current study, we will integrate dietician-supported self-management by using a commercially Internet platform (Liva) to facilitate interactive communication between dieticians and users, as well as by peer-to-peer support. The platform will be further developed to support individualised education, goal setting and evaluation of diet and exercise behaviour as described below. In addition, interactive communication between patient and a personal healthcare professional will allow for asynchronous contact when needed, in the form of video, text or spoken messages. The advanced interactive platforms will be supported further by an individualised number of face-to-face consultations between the patient and the personal healthcare professional, with whom the patient will be acquainted from the interactive platform.

The current study aims to empower patients to decrease the amount of carbohydrates in their diet (40% fat, 40% carbohydrates and 20% proteins), while keeping energy intake unchanged or slightly decreased in cases in which the patient seeks weight reduction. We will support individualised changes towards a sustainable increased number of low-carbohydrate meals each week. To support these changes, we have designed an Internet and smartphone platform (www.dd2mad.dk) that easily allows individuals to plan, purchase groceries and cook low-carbohydrate meals for all daily meals, including snacks. A dietician developed the recipes, and the macronutritional composition of each recipe has been calculated using ‘DANKOST’ software (Dankost Aps, Copenhagen, Denmark). The platform is updated monthly with new recipes and will be developed further using a user-driven iterative process. We will implement this platform in the modified Liva.

We aim to empower patients to make a sustainable increase in physical activity level by implementing interval walking. To enable the patients to engage in and maintain correct individualised interval walking, we have developed a smartphone application (InterWalk). The application is designed to individually guide duration and intensity of the training in real time based on a small test at the first use of the application. During use, the app automatically monitors exercise intensity, training duration and walking distance. Following each training session, the app sends the data to a central server.49 The training data will be available for the patient and the healthcare professionals making it possible to provide evidence-based training feedback to patients, using physical fitness data,50 training duration and compliance from the app.49 The InterWalk app will be implemented in the Liva platform. For a discussion of the motivation of the lifestyle intervention, see the online supplementary material.

Outcomes

The study’s primary outcome measure is time to a composite outcome of all-cause mortality, non-fatal myocardial infarction, coronary revascularisation, cardiac arrest with resuscitation, hospitalisation for heart failure, non-fatal stroke, development or progression of nephropathy or retinopathy (see below), severe hypoglycaemia leading to hospitalisation and development of any cancer (except basocellular carcinoma). Development or progression of nephropathy is defined as renal failure (defined by the need for chronic dialysis), development of macroalbuminuria or doubling of baseline s-creatinine to a level above 200 μM. Development of retinopathy is defined as proliferative retinopathy or macular oedema that requires laser therapy, injection of vascular endothelial growth factor inhibitors or vitrectomy, or diabetes-related blindness (Snellen visual acuity below 0.1). Information on deaths will be obtained from the Civil Registration System. Individual diagnoses, operations and procedure codes will be obtained from the Danish National Patient Registry (see table 2). S-creatinine values and albumin–creatinine ratios will be obtained through the Danish Diabetes Database for Adults.

Table 2

Endpoint definitions 10th International Classification of Diseases (ICD-10) codes for diagnoses and operation codes were obtained from the Danish National Patient Registry, listed below)

Non-fatal myocardial infarction	I21-23, T822A, T823 (without death within 30 days)
Coronary revascularisation	KFNG, KFNA, KFNB, KFNC, KFND, KFNE, KFNF, KFNH, KFNW, KFLF
Cardiac arrest with resuscitation	I46
Hospitalisation for heart failure	I50, I11.0, I13.0+2 (only as a diagnosis)
Non-fatal stroke (including cerebral haemorrhage)	I61, I63, I64, KAAL10, KAAL11 (without death within 30 days)
Development of nephropathy	BJFD2 (chronic dialysis) or urine albumin–creatinine ratio >300 g/mg or doubling of creatinine (if creatinine≥200 μM)
Development of retinopathy	KCKC10, KCKC15 (laser therapy) or DH360K and KCKD05B KCKD65 (vitrectomy) or H540+1+4 (blindness)
Severe hypoglycaemia leading to hospitalisation	E15, E160-2, T383A
Cancer (except basocellular carcinoma)	C00-99 (except when ZM809xx are added)
Amputation of the lower limbs:	KNEQ, KNFQ, KNGQ, KNHQ
Revascularisation procedures and peripheral thrombosis (not cardiovascular or cerebrovascular disease)	I74, N280, K550-1, K558-9, H340-2 KPBE+F+H+N+p+Q, KPBW, KPGH10, KPGE+F+H+N+p+Q, KPGW99, KPGW20, KPEE+F+H+N+p+Q+W, KPFE+H+n+P+Q+W, KPGH20+21+22+23+30+31+40+99, KPDU74+82+83+84, KPEU74+82+83+84, KPFU74+82+83+84, KPAE+F+H+N+p+Q, KPAW99, KPAU74, KPCE+F+H+N+p+Q, KPCW99, KPCW20, KPCU74+82+83+84, KPGU74+83+84+99, KPGW, KPWG
Fatal acute myocardial infarction	I21-23, T822A, T823, R96-99 with death within 30 days
Fatal stroke	I61, I63, I64 with death within 30 days

Secondary outcome measures are all-cause mortality, socioeconomic costs and quality of life. Quality of life will be assessed with SF-12 and Q-5 questionnaires at study inclusion and after 2 and 4 years.

Tertiary outcome measures are the individual endpoints in the composite endpoint. Other endpoints are

Time to any macrovascular endpoint (as defined in the primary endpoint).

Time to any microvascular endpoint (as defined in the primary endpoint).

Time to fatal acute myocardial infarction.

Time to fatal stroke.

Time to lower-limb amputation

Time to other revascularisation procedures and peripheral thrombosis (not cardiac or cerebrovascular events).

Overall hospitalisations per 1000 patient-years.

Treatment adherence, defined as reimbursement of prescriptions, compared with intended treatment dose: total yearly reimbursed doses versus intended yearly doses.

Time trends of HbA1c, blood pressure and LDL cholesterol.

Individual time trends of daily physical activity in intervention patients.

Proportions of patients in the interventions group reaching their goal of HbA1c and blood pressure.

Cause of death will be obtained from the Danish Cause of Death Register. Reimbursement of prescriptions will be ascertained through the Danish National Prescription Registry. Intended treatment dose will be obtained through the electronic medicine chart ‘FMK’.

Power calculations

The power calculation was performed using Lakatos normal approximation for a log-rank test of two survival curves. The estimated sample size of 1123 patients will have 80% power to detect a reduction of 20% of the incidence rate of the primary endpoint, with a type 1 error of 5%, during 10 years of follow-up. A composite yearly event rate of 5% is estimated, based on estimated incidence rates of 2.5% per year of macrovascular and microvascular complications, 1.5% per year for cancer and approximately 1% for overall mortality. The hypoglycaemic event rate is expected to be less than 0.4%. Due to the database approach, loss to follow-up should be minimal.

Statistical analysis

The advantage of our pragmatic study approach is that our results will reflect effectiveness, harms and costs of individualised treatment in daily practice in primary care, improving generalisability compared with single-exposure RCTs typically conducted among heavily selected patient and clinic populations. On the other hand, GP practices and their patients are self-selected to participating in the IDA intervention in our study and will be non-blinded to receiving this treatment. The main methodological challenge for our proposed study will therefore be to address possible confounding caused by imbalance of prognostic factors in participants versus controls. We will use appropriate statistical methods for dealing with confounding, including regression analyses and propensity score matching.

Confounders

Covariates expected to be confounders will be selected according to available evidence and knowledge, and will include the following:

General variables: age, gender, diabetes onset, DD2 enrolment year, time from DD2 enrolment to IDA study entry, GP and place of residence (municipality).

Lifestyle variables: smoking, alcohol consumption and physical exercise (self-reported).

Comorbidity: each of the individual strata of the Charlson Comorbidity Index, except diabetes, hospitalisation for hypoglycaemia, chronic dialysis, laser treatment of retinopathy/maculopathy, vitrectomy, chronic heart disease, angina pectoris, any revascularisation procedure, lower-extremity amputation, atrial fibrillation and history of psychiatric disease (eight covariates defined by 10th International Classification of Diseases (ICD-10): DF1 to DF8).

Socioeconomic variables: education, employment, income and social support.

Clinical variables: blood pressure, BMI, waist circumference, LDL-C, high-density lipoprotein cholesterol (HDL-C), triglyceride level, creatinine level, urine albumin–creatinine ratio and diabetes phenotype.

Medication use: aspirin, statins, anticoagulating drugs, thiazides, ACE inhibitors or angiotensin-2 antagonists, calcium channel antagonists, beta-blockers, potassium-sparing diuretics, metformin, sulfonylurea, DD4 inhibitors, GLP-1 analogues, SGLT-2 inhibitors, insulin, oral corticosteroids and number of redeemed drugs (including the above drugs).

Ascertainment of confounder variables will be through the DD2 cohort and registries. Comorbidity is defined as all diagnoses registered from 1977 until enrolment. Socioeconomic variables are defined as the values recorded in the enrolment year. Medication use is defined as redeemed prescriptions 1 year prior to enrolment. Clinical variables are defined by the value measured closest to enrolment, not more than 1 year prior to enrolment and 1 month after enrolment.

Cox regression analysis

Follow-up will extend for 10 years from the date of IDA intervention start until first of any of the individual composite outcome events, emigration out of Denmark or end of study (1 January 2028), whichever comes first. For patients in the control group, the entry date will be the date of DD2 enrolment or date of the overall IDA study initiation (1 January 2015), whichever comes last. We will construct survival curves for intervention and control patients and compute cumulative incidence rates. We then compute incidence rate ratios with 95% CIs for intervention patients compared with controls using Cox regression analysis and controlling for confounders described above. Stratified analyses will be performed by gender, age below/above 60 years, eGFR below/above 60, former CVD and diabetes phenotype with test for interaction.

Propensity score analysis

In a second analysis, we will use propensity score matching. For this analysis, we will compute the probability of each DD2 cohort non-IDA-intervention patient being included in the IDA intervention arm in a logistic regression analysis, conditioned on the patient’s covariate profile. Next, we will match each intervention patient to a DD2 control patient with the closest propensity score in a 1:3 fashion and eliminate the remaining controls. The matching will be performed in a random sequential order. After determining that the covariates are balanced between the two treatment groups (see online supplementary material), we will conduct a matched Cox regression analysis without further adjustment. If any covariate is not balanced, a model with adjustment for non-balanced covariates will be made. The assumption of proportional hazards in the Cox models will be assessed graphically.

Ethics and dissemination

The study will use well-known pharmalogical agents and bariatric interventions. Thus, the safety of the patients is considered high. Patients in the intervention group will provide written informed consent before participation. The study will be conducted in compliance with the principles set forth in the Declaration of Helsinki and the Good Clinical Practice Guidelines. The study has been approved by the Regional Committee on Medical Health Ethics (Region of Southern Denmark S-20120186), the Danish Data Protection Agency and the Danish Health and Medicines Authority (journal no. 2012120204).

All subjects will be identified by an unambiguous subject code that can be linked to the civil registration number. The subject code will be used as a pseudoanonymisation code throughout the study. Handwritten source data (CRFs) or hard-copy source data will be securely safeguarded against unauthorised access and kept under lock, with access only by authorised persons. Electronically reported source data will conform to good clinical practice standards by using the RedCap data collection system and the DD2-established data collection system. Both systems have a high level of security and use data verification and detailed logging during reporting.

Most study data will be stored in OPEN, a custom-designed study database secured against unauthorised access. OPEN is a research service provided by the University of Southern Denmark that enables researchers to store research data in accordance with national legislation and requirements for data logging, password security and backup.

Study results will be made public via articles in national and international peer-reviewed journals, which will be accessible online https://dd2.nu). Positive, negative and inconclusive results will be published according to the Vancouver Principles. The results will be disseminated through www.clinicaltrials.com and the Danish Diabetes Association.

Perspectives

IDA is one of the first studies to formalise a specific implementation of individualised medicine in treating T2D. The ultimate goal is to improve quality of life and reduce complications in patients with T2D—in a manner requiring less medication and fewer resources over a 10-year period.