Literature DB >> 29188339

Clinical and metabolic features of the randomised controlled Diabetes Remission Clinical Trial (DiRECT) cohort.

Roy Taylor1, Wilma S Leslie2, Alison C Barnes3, Naomi Brosnahan2,4, George Thom2, Louise McCombie2, Naveed Sattar5, Paul Welsh5, Carl Peters1, Sviatlana Zhyzhneuskaya1, Kieren G Hollingsworth1, Ahmad Al-Mrabeh1, Angela M Rodrigues6, Lucia Rehackova6, Ashley J Adamson3, Falko F Sniehotta6, John C Mathers7, Hazel M Ross4, Yvonne McIlvenna8, Sharon Kean9, Ian Ford9, Alex McConnachie9, Michael E J Lean10.   

Abstract

AIMS/HYPOTHESIS: Substantial weight loss in type 2 diabetes can achieve a return to non-diabetic biochemical status, without the need for medication. The Diabetes Remission Clinical Trial (DiRECT), a cluster-randomised controlled trial, is testing a structured intervention designed to achieve and sustain this over 2 years in a primary care setting to determine practicability for routine clinical practice. This paper reports the characteristics of the baseline cohort.
METHODS: People with type 2 diabetes for <6 years with a BMI of 27-45 kg/m2 were recruited in 49 UK primary care practices, randomised to either best-practice diabetes care alone or with an additional evidence-based weight management programme (Counterweight-Plus). The co-primary outcomes, at 12 months, are weight loss ≥15 kg and diabetes remission (HbA1c <48 mmol/mol [6.5%]) without glucose-lowering therapy for at least 2 months. Outcome assessors are blinded to group assignment.
RESULTS: Of 1510 people invited, 423 (28%) accepted; of whom, 306 (72%) were eligible at screening and gave informed consent. Seven participants were later found to have been randomised in error and one withdrew consent, leaving 298 (176 men, 122 women) who will form the intention to treat (ITT) population for analysis. Mean (SD) age was 54.4 (7.6) years, duration of diabetes 3.0 (1.7) years, BMI 34.6 (4.4) kg/m2 for all participants (34.2 (4.2) kg/m2 in men and 35.3 (4.6) kg/m2 in women) and baseline HbA1c (on treatment) 59.3 (12.7) mmol/mol (7.6% [1.2%]). The recruitment rate in the intervention and control groups, and comparisons between the subgroups recruited in Scotland and England, showed few differences. CONCLUSIONS/
INTERPRETATION: DiRECT has recruited a cohort of people with type 2 diabetes with characteristics similar to those seen in routine practice, indicating potential widespread applicability. Over 25% of the eligible population wished to participate in the study, including a high proportion of men, in line with the prevalence distribution of type 2 diabetes. TRIAL REGISTRATION: www.controlled-trials.com/ISRCTN03267836 ; date of registration 20 December 2013.

Entities:  

Keywords:  Formula diet; Remission; Type 2 diabetes; Weight management

Mesh:

Substances:

Year:  2017        PMID: 29188339      PMCID: PMC6448967          DOI: 10.1007/s00125-017-4503-0

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


Introduction

In the early years after diagnosis type 2 diabetes has been shown to be a reversible metabolic condition [1, 2]. Within 10 years of type 2 diabetes diagnosis, about two-thirds of individuals can return to non-diabetic levels of blood glucose control after diet-induced weight loss averaging 15 kg [3]. With stable reduced weight, non-diabetic blood glucose control and changes in the underlying pathophysiological abnormalities persist without glucose-lowering medications for at least 6 months [3]. However, these results have only been observed in a small number of motivated volunteers attending a specialist research unit. The practical implications for routine clinical practice of such diet-induced type 2 diabetes reversal urgently need to be established given widening public interest in this phenomenon. Bariatric surgery of any kind can reverse metabolic abnormalities in about 70% of people with type 2 diabetes [4], with the likelihood of benefit determined primarily by the extent of weight loss and duration of diabetes [5, 6]. However, with conventional dietary advice mean weight loss is only 3–5% and remission is rare [7]. In the LookAHEAD study, a greater mean weight loss of 8% at 12 months produced remission of type 2 diabetes in 11.5% of participants [8]. The present study was designed to use a more intensive initial ‘total diet replacement’ approach, using a low-energy formula diet with a structured behaviour change programme for long-term weight loss maintenance, delivered in a realistic primary care setting. In a feasibility study, this programme resulted in a mean weight loss of about 17 kg by 12 weeks, with 40% remaining >10 kg and 33% >15 kg below baseline weight at 12 months [9]. Similar figures have been reported for a roll-out of the Counterweight-Plus programme to 288 individuals in routine primary care (L. McCombie, N. Brosnahan, H. Ross, A. Bell-Higgs, L. Govan, M. E. J. Lean, unpublished results). The Diabetes Remission Clinical Trial (www.controlled-trials.com/ISRCTN03267836) was designed to answer a series of linked questions [10]: What proportion of the whole population with type 2 diabetes would agree to undertake substantial weight loss? How many of these could achieve ≥15 kg weight loss and return to non-diabetic blood glucose control off medication (the twin primary endpoints) at 1 year? What happens to the major pathophysiological factors underlying type 2 diabetes during continued follow up? What are the psychological consequences of the programme and can outcomes be predicted by psychometric variables? What proportion of the intervention group remains non-diabetic after 2 years? This paper describes the recruitment process, outcomes of recruitment and baseline characteristics of the study participants.

Methods

A cluster-randomised controlled design was employed, with general practices the unit of randomisation. General practices representing populations with wide ranges of social and geographical features across Scotland and in the Tyneside region of northeast England were invited to participate by the Primary Care Research Network (PCRN) in Scotland and North East Commissioning Support (NECS) in England. Practices known to be research-active were approached first as the demands of research work by staff would be too great for many practices. The research team met with interested practices to discuss participation details. Following these meetings, willing practices were then randomised to intervention or control. Practices randomised to the control group continued to deliver usual diabetes and weight management as per current clinical guidelines. Practices randomised to the intervention group continued to deliver usual guideline-based care in addition to an evidence-based weight management programme (Counterweight-Plus). Randomisation was conducted independently by the Robertson Centre for Biostatistics, University of Glasgow, using a minimisation method to maintain balance across groups between the two study regions (Scotland and Tyneside), including a balance of practice list sizes (n > 5700 or n ≤ 5700). Within each general practice, all people with type 2 diabetes meeting inclusion and exclusion criteria were identified by a computerised search of general practitioner (GP) records, undertaken by PCRN in Scotland and GP practice staff in Tyneside. Lists generated by the search were reviewed by GPs and any individuals recognised to be unsuitable to approach because of comorbidity or other practical obstacles to participation were removed. Inclusion criteria were age 20–65 years, type 2 diabetes of duration 0–6 years (diagnosis based on two recorded diagnostic tests using blood glucose and/or HbA1c [HbA1c >48 mmol/mol (6.5%) on diet alone or HbA1c >43 mmol/mol (6.1%) on treatment with oral glucose-lowering agents]), and a BMI of 27–45 kg/m2. Potentially eligible individuals were mailed an invitation to participate with an information sheet and asked to respond using prepaid reply envelopes. Full details of methodology have been previously described [10]. A subsequent protocol amendment included the provision of a financial incentive (50 GBP Amazon retail voucher) for those recruited into the control arm. The intervention arm already provided a desirable incentive ‘in kind’ for participation (supply of a formula diet and potential substantial weight loss) but there had been no such incentive for participants in control practices. To ascertain whether the individuals volunteering and included were representative of the wider population with type 2 diabetes, defined by the inclusion and exclusion criteria, anonymised data on sex, height and weight, duration of diabetes and index of multiple deprivation were collated for all who were invited to participate. Ethics approval for the Diabetes Remission Clinical Trial (DiRECT) was secured on 24 January 2014. NHS research and development approvals for participating Health Board areas in Scotland and Clinical Commissioning Groups in Tyneside were then secured. All subsequent protocol amendments have been similarly approved. Written informed consent was secured from all participants.

Statistical analyses

Summary data are presented overall and by study area (Scotland, Tyneside). Continuous data are summarised by the mean and SD, and categorical data by frequencies and percentages. Study areas are compared using Wilcoxon–Mann–Whitney tests for continuous data and Fisher’s exact tests for categorical data. Summary data are presented to enable comparison of the DiRECT study population with the wider Scottish population and with other studies of type 2 diabetes in the USA, Canada and Europe. Summary data are also reported for all individuals who were invited to take part in DiRECT and for whom anonymous baseline data could be obtained for comparison with the recruited study population. At this stage of analysis of baseline data, the codes have not been broken to reveal which participants are in which treatment arm and investigators remain blinded. Baseline data for the treatment arms will be analysed later, together with the primary outcome data.

Results

Primary care practice recruitment

Of the 523 practices that received an invitation to participate in the study, 74 expressed interest in participating. Following meetings with the study team, 55 practices agreed to participate and were randomised (34 Scotland, 21 Tyneside). The main factor for non-participation was the potential time commitment required if allocated to the intervention arm. Four practices allocated to intervention and two to control were not required for recruitment. Therefore, 49 practices were asked to recruit participants (Fig. 1), with list sizes varying between 1400 and 30,000 individuals in both urban and rural areas.
Fig. 1

 Flowchart of recruitment

Flowchart of recruitment

Participant recruitment

A total of 1510 potentially eligible people were invited to participate in the study (Fig. 1). Of these, 423 (28%) accepted the invitation. The response was similar in the control and intervention arms (Table 1). Of those who wished to participate, 28% were excluded at screening. The most frequent reasons for exclusion were HbA1c <48 mmol/mol (6.5%) without glucose-lowering medication, duration of type 2 diabetes >6 years and recent weight loss >5 kg (Fig. 1). From 48 practices, 306 participants gave consent and were recruited into the trial (no participants were recruited at one of the practices). After the baseline visit, one participant withdrew consent and seven participants were subsequently considered to have been randomised in error because their most recent HbA1c was already in the non-diabetic range without drug treatment. These eight participants will not be included in the intention to treat (ITT) population for data analyses, and data are presented for the remaining 298 participants.
Table 1

 Recruitment response by treatment allocation and study area

Invited (n)Accepted (n)Response (%)
Intervention arm
  Scotland46413028
  Tyneside3158527
  Total77921528
Control arm
  Scotland55216630
  Tyneside1794223
  Total73120828
Total151042328
Recruitment response by treatment allocation and study area

Baseline characteristics

The baseline characteristics of the study population, detailed in Table 2, were similar for participants in Scotland and Tyneside. Mean age at recruitment was 54.4 years. Over half of the study population were male (59%). Mean BMI was slightly higher in women (35.3 kg/m2) than in men (34.2 kg/m2). Mean (SD) HbA1c was 59.3 (12.7) mmol/mol (7.6% [1.2%]). Mean duration since diagnosis of type 2 diabetes was 3 years. Reflecting the ethnic composition of Scotland and Tyneside, 98% of participants were white, with 0.7% Black African, 0.6% South Asian and 0.3% other. The majority of participants were prescribed glucose-lowering medications (n = 226, 76%), most as monotherapy (n = 144, 48%), with metformin most commonly prescribed (n = 211, 71%). About a quarter of participants were managed by diet alone, and 82 (28%) were prescribed two or more glucose-lowering medications, including 63 (21%) receiving sulfonylureas. Few participants (12%) were current cigarette smokers and 50% reported never having smoked. Only 26% of participants reported any current or recent weight management activities. Table 3 shows the documented medical history of participants at baseline. Twelve per cent of participants had existing retinopathy. More than half of the study population had a history of hypertension and 55% of participants were prescribed antihypertensive medication, with over 30% on two or more drugs. The overall prevalence of cardiovascular disease (CVD; myocardial infarction, angina, stroke, transient ischaemic attack, heart failure, peripheral vascular disease, revascularisation, atrial fibrillation) was 12%. Forty three per cent of participants were prescribed six or more drugs and 13% ten or more. The proportion being treated with antidepressant drugs was 23%. Biochemical data at baseline (Table 4) were as expected among unselected individuals, predominantly with obesity and within 6 years of type 2 diabetes diagnosis.
Table 2

 Baseline characteristics by study area (ITT population)

AllScotlandTyneside p value
N 298197101
Sex, n (%)
  Male176 (59.1)118 (59.9)58 (57.4)0.710
  Female122 (40.9)79 (40.1)43 (42.6)
Age (years)54.4 (7.6)55.2 (7.2)52.8 (8.1)0.014
Height (cm)
  Men175.9 (7.1)175.8 (7.0)176.2 (7.2)0.711
  Women160.7 (5.2)160.6 (5.4)160.8 (4.9)0.684
Weight (kg)
  Men106.0 (15.8)105.7 (15.5)106.5 (16.6)0.704
  Women91.2 (13.0)90.8 (13.9)92.0 (11.4)0.476
BMI (kg/m2)
  All34.6 (4.4)34.6 (4.4)34.8 (4.4)0.656
  Men34.2 (4.2)34.2 (4.2)34.2 (4.4)0.929
  Women35.3 (4.6)35.1 (4.8)35.6 (4.4)0.548
Waist circumference (cm)a
  Men110.0 (7.1)110.7 (6.2)108.6 (8.7)0.148
  Women101.6 (8.6)101.7 (9.3)101.4 (7.1)0.831
Hip circumference (cm)a
  Men108.6 (5.6)109.4 (5.6)107.1 (5.3)0.066
  Women111.6 (8.0)111.9 (8.4)111.0 (7.1)0.804
Systolic blood pressure (mm/Hg)134.9 (16.9)136.8 (16.4)131.3 (17.2)0.004
Diastolic blood pressure (mm/Hg)85.0 (9.5)85.5 (9.1)84.1 (10.2)0.088
Duration of type 2 diabetes (years)3.0 (1.7)3.0 (1.7)2.9 (1.7)0.710
Pre-trial HbA1c (from GP records)
  mmol/mol61.6 (13.9)61.4 (14.2)62.0 (13.4)0.441
  %7.79 (1.27)7.76 (1.30)7.83 (1.23)
Trial measured HbA1c
  mmol/mol59.3 (12.7)59.6 (13.4)58.6 (11.2)0.880
  %7.57 (1.16)7.61 (1.22)7.51 (1.03)
Management of type 2 diabetes, n (%)
  Diet alone (no drugs)72 (24.2)38 (19.3)34 (33.7)0.018
  1 drug144 (48.3)104 (52.8)40 (39.6)
  ≥2 drugs82 (27.5)55 (27.9)27 (26.7)
Smoking status, n (%)
  Current35 (11.7)21 (10.7)14 (13.9)0.663
  Former113 (37.9)77 (39.1)36 (35.6)
  Never150 (50.3)99 (50.3)51 (50.5)
Current/recent engagement in weight management activities, n (%)77 (25.8)62 (31.5)15 (14.9)0.002
Reported weekly alcohol intake (units)5.5 (9.6)5.5 (10.3)5.7 (8.0)0.040

Data are mean (SD) unless otherwise stated

aWaist and hip circumference was only measured when BMI was <35 kg/m2

Table 3

 Medical history documented at baseline by study area (ITT population)

AllScotlandTyneside p value
N 298197101
Diabetic retinopathy35 (11.7)20 (10.2)15 (14.9)0.256
Hypertensiona 169 (56.7)113 (57.4)56 (55.4)0.805
Current antihypertensive medication163 (54.7)113 (57.4)50 (49.5)0.220
  1 drug69 (23.2)45 (22.8)24 (23.8)0.279
  ≥2 drugs94 (31.5)68 (34.5)26 (25.7)
Current antidepressant medication68 (22.8)44 (22.3)24 (23.8)0.773
Total number of prescribed medications
  None6 (2.0)3 (1.5)3 (3.0)0.280
  1–247 (15.8)30 (15.2)17 (16.8)
  3–5116 (38.9)73 (37.1)43 (42.6)
  6–989 (29.9)59 (29.9)30 (29.7)
  ≥1040 (13.4)32 (16.2)8 (7.9)
Clinical CVD
  Myocardial infarction8 (2.7)7 (3.6)1 (1.0)0.273
  Angina8 (2.7)6 (3.0)2 (2.0)0.721
  Stroke7 (2.3)5 (2.5)2 (2.0)1.000
  Transient ischaemic attack7 (2.3)7 (3.6)0 (0.0)0.100
  Heart failure2 (0.7)2 (1.0)0 (0.0)0.550
  Peripheral vascular disease7 (2.3)5 (2.5)2 (2.0)1.000
  Previous revascularisation4 (1.3)4 (2.0)0 (0.0)0.304
  Atrial fibrillation8 (2.7)7 (3.6)1 (1.0)0.273
  Any CVD37 (12.4)30 (15.2)7 (6.9)0.042
Hyperlipidaemiab 67 (22.5)48 (24.4)19 (18.8)0.307
eGFR <60 ml min−1 l.73 m−2 c 9 (3.1)7 (3.6)2 (2.1)0.723
Arthritis58 (19.5)39 (19.8)19 (18.8)0.878
Osteoporosis2 (0.7)2 (1.0)0 (0.0)0.550
Epilepsy2 (0.7)1 (0.5)1 (1.0)1.000
Other237 (79.5)147 (74.6)90 (89.1)0.004

Data presented as n (%)

aHypertension is defined as in the National Institute for Health and Care Excellence (NICE) guidelines for type 2 diabetes [25]

bHyperlipidaemia is defined as in the NICE guidelines for cardiovascular disease [26]

cFor eGFR, n = 196 for Scotland, n = 95 for Tyneside and n = 291 for Au (missing data are owing to missing creatinine values at baseline)

Table 4

 Baseline biochemistry by study area (ITT population)

AllScotlandTyneside p value
n (missing)291 (7)196 (1)95 (6)
  Total cholesterol (mmol/l)4.32 (1.19)4.38 (1.21)4.19 (1.13)0.239
  HDL-cholesterol (mmol/l)1.12 (0.28)1.14 (0.28)1.08 (0.29)0.043
  Triacylglycerol (mmol/l)2.00 (1.17)2.10 (1.27)1.80 (0.89)0.034
  ALT (U/l)34.1 (19.4)34.8 (20.1)32.7 (17.8)0.450
  AST (U/l)24.2 (12.8)24.8 (13.1)22.8 (12.2)0.136
  GGT (U/l)52.4 (56.8)54.5 (62.8)48.0 (41.7)0.567
  Creatinine (μmol/l)68.3 (15.1)70.7 (15.1)63.3 (13.9)<0.001
  eGFR (ml min−1 1.73 m−2)98.6 (24.7)94.3 (22.0)107.5 (27.4)<0.001
n (missing)292 (6)196 (1)96 (5)
  Glucose (mmol/l)9.01 (2.94)9.30 (2.94)8.43 (2.85)0.010
  Insulin (mU/ml)23.50 (14.35)25.34 (14.58)19.67 (13.13)<0.001
n (missing)292 (6)197 (0)95 (6)
  ACR (mg/mmol)a 2.16 (6.89)1.71 (6.73)3.08 (7.16)0.414
  Microalbuminuria, n (%)b 39 (13.4)18 (9.1)21 (22.1)0.003

Data are mean (SD) unless otherwise stated

aValues <0.5 imputed as 0.25

bDefined as ACR ≥3.5 (female) or ACR ≥2.5 (male)

Baseline characteristics by study area (ITT population) Data are mean (SD) unless otherwise stated aWaist and hip circumference was only measured when BMI was <35 kg/m2 Medical history documented at baseline by study area (ITT population) Data presented as n (%) aHypertension is defined as in the National Institute for Health and Care Excellence (NICE) guidelines for type 2 diabetes [25] bHyperlipidaemia is defined as in the NICE guidelines for cardiovascular disease [26] cFor eGFR, n = 196 for Scotland, n = 95 for Tyneside and n = 291 for Au (missing data are owing to missing creatinine values at baseline) Baseline biochemistry by study area (ITT population) Data are mean (SD) unless otherwise stated aValues <0.5 imputed as 0.25 bDefined as ACR ≥3.5 (female) or ACR ≥2.5 (male)

Discussion

DiRECT has a realistic or ‘pragmatic’ design to provide information about the management of type 2 diabetes in a routine primary care setting in a largely unselected population in order to maximise transferability of results. Certain inclusion criteria were applied for recruitment into DiRECT for various practical reasons. An upper BMI limit of 45 kg/m2 was set because the protocol required a subsample to undergo abdominal magnetic resonance imaging. An upper age limit of 65 years was fixed to avoid the greater mortality rates associated with older people in a study planned to continue for 2 years and to optimise attendance at study visits given the greater mobility problems often faced by older people with type 2 diabetes. Furthermore, individuals were excluded if they had suffered myocardial infarction or stroke within the 6 months prior to recruitment because of engagement in other programmes. Volunteers for clinical research are usually relatively more health conscious and there can be a risk of attracting unrepresentative ‘concerned but healthy’ individuals. The DiRECT cohort included, at baseline, 12% with existing retinopathy, 12% with one or more known manifestations of heart disease and 13% with microalbuminuria indicating nephropathy. Impaired renal function (eGFR <60) was present in 3%. In addition to their diabetes, as may be expected, a high proportion (57%) had known hypertension and 31% were prescribed two or more antihypertensive medications. Polypharmacy was common, with 43% being prescribed six or more different drugs daily and 13% prescribed ten or more drugs. Almost a quarter of the entire cohort was prescribed antidepressant medications, some of which are associated with weight gain [11]. Thus, the DiRECT cohort does not appear to include an excess of ‘worried well’ or unusually healthy people with type 2 diabetes. DiRECT recruited a substantial proportion of men. This is encouraging as this is in line with the higher prevalence of type 2 diabetes in men [12]. Comparison of the study population with available data for those invited to participate in DiRECT shows an almost identical proportion of men and women accepting the invitation to participate (Table 5). Typically, men are less likely to engage in weight management programmes [13-15]. However, the potential for health improvement is a motivator for weight loss in men [16, 17], so a potential remission of diabetes or improvement in diabetes status may have encouraged men to participate in DiRECT. Whether a total diet replacement approach might be more attractive to men than to women, and other motivational issues, will be explored in interviews with participants and with healthcare professionals involved in DiRECT.
Table 5

 Comparison of invited participants with the DiRECT study population

Invited populationDiRECT participants
n 1155a 298
Sex, n (%)
  Male699 (61.3)176 (59.1)
  Female442 (38.7)122 (40.9)
Year of birth1961 (8)1961 (8)
BMI (kg/m2)33.5 (6.9)34.6 (4.4)
Duration of type 2 diabetes (years)3.5 (3.2)3.0 (1.7)
Index of Multiple Deprivation quintile, n (%)
  Q1 – Most deprived257 (22.8)63 (21.4)
  Q2185 (16.4)52 (17.6)
  Q3226 (20.0)64 (21.7)
  Q4238 (21.1)67 (22.7)
  Q5 – Least deprived222 (19.7)49 (16.6)

Data are mean (SD) unless otherwise stated

aData available for 1141 invited participants. Missing data for each item: sex, n = 14 (invited); year of birth, n = 10 (invited); BMI, n = 22 (invited); duration of diabetes, n = 603 (invited); deprivation, n = 30 (invited = 27; DiRECT = 3)

Comparison of invited participants with the DiRECT study population Data are mean (SD) unless otherwise stated aData available for 1141 invited participants. Missing data for each item: sex, n = 14 (invited); year of birth, n = 10 (invited); BMI, n = 22 (invited); duration of diabetes, n = 603 (invited); deprivation, n = 30 (invited = 27; DiRECT = 3) Recruitment of participants to any study is challenging. Poor recruitment can result in inadequate study numbers and underpowered trials [18]. DiRECT was based in primary care in order to provide realistic results transferable to routine practice. Of the invited practices, 14% accepted, reflecting the relatively small proportion of general practices in the UK that are research-active. Many of those are at capacity for taking on new research projects, being busy NHS general practices with limited availability of doctor and nurse time for research. There was great interest in DiRECT, but many of the research-active practices had already committed to research studies on other topics. Moreover, practice participation required practices to be able to provide six to ten individuals who would meet the inclusion criteria; this excluded some smaller practices. Recruitment to DiRECT was monitored closely and recruitment methods were refined to include strategies known to maximise recruitment (e.g. reminder letter, telephone contact and incentive) [18]. It is remarkable that 28% of all invited to participate expressed interest in doing so, and most of those who initially volunteered participated (72%). This far exceeds many other trials that recruited using similar methods [19] and those that recruited by other means [20, 21]. The study recruited more than the numbers required to satisfy the a priori power calculation (140 per group) within the 2 years allocated for recruitment, and recruitment proved difficult to halt resulting in modest over-recruitment. The ready acceptance of a low-energy liquid diet has been observed in all of our previous studies [1, 3, 9]. Triacylglycerol, insulin, fasting glucose and eGFR were less good in Scottish participants, in keeping with the slightly greater age and higher waist circumferences. None of these differences could be considered clinically important. Average alanine aminotransferase (ALT) and γ-glutamyl transferase (GGT) levels were higher than the normal reference range. There were a small number with ALT and GGT raised more so than aspartate aminotransferase (AST). This will be partly the result of fatty liver, which is common in this participant group, but more substantial elevations in GGT without comparable ALT elevations suggest that some participants may have had undisclosed alcohol excess. Of the 12 participants with GGT >150 at baseline, only one reported very high alcohol consumption (72 units per week). In most instances transaminases were also elevated but there were no other features in the baseline data which might account for abnormal liver function tests. There were minor excesses of high albumin/creatinine ratio (ACR) in Tyneside, the reasons for which were not clear although the numbers are small and do not allow determination of whether such minor albuminuria was sustained or transient. The participants can be considered representative of the general population of people with short duration type 2 diabetes, and their characteristics were similar to those of other large studies of type 2 diabetes (Table 6). Comparison with LookAHEAD [20] showed similar mean HbA1c (55 mmol/mol [7.2%]) and BMI (35.9 kg/m2), low prevalence of CVD (14.1%) and a high proportion of participants never having smoked (50.2%), although the proportion of male participants was lower (40%) and the population slightly older. The prevalence of CVD was higher in the ACCORD [21] and PROactive [22] studies, but this was a specific inclusion criterion for both those studies. As in DiRECT, both of these studies had high proportions of male participants and a similar mean BMI. Median HbA1c was higher in ACCORD and PROactive (64 mmol/mol [8%]). Importantly, duration of diabetes was longer in all three of these previous studies, while it was specifically limited to <6 years in the present study. This duration was selected in view of the demonstration of duration of type 2 diabetes being a critical factor in achieving remission [3]. Our study population was, however, very representative of all people with type 2 diabetes in Scotland, in whom the mean duration of diabetes was 9 years [23]. A greater number of medications were prescribed to the Scottish than to the Tyneside participants, perhaps reflecting variations in the application of the different clinical guidelines in Scotland [24] and England [25].
Table 6

 Comparison of DiRECT participant characteristics with those of the wider population of people with type 2 diabetes in Scotland and with those recruited into other type 2 diabetes studies

DiRECTScottish population of people with type 2 diabetes (2015/2016) [23]LookAHEAD [20] (USA)ACCORD [21] (USA/Canada)PROactive [22] (Europe)
N 298263,843514510,2515238
Sex (%)
  Male59.157.540.661.366.5
  Female40.942.559.438.733.5
Mean age (years)54.466.759.062.261.8
Mean BMI (kg/m2)34.632.035.932.231.0
Duration of type 2 diabetes (years)3.09.37.0108
Mean HbA1c
  mmol/mol59.359.156.067.063.0
  %7.67.67.38.37.9
History of hypertension (%)56.7n/a80.3n/a75.6
Antihypertensive medication (%)54.7n/a68.485.5n/a
Smoking status (%)
  Current11.7n/a4.414.013.5
  Former37.945.444.045
  Never50.350.242.0n/a
History of CVD (%)12.4n/a14.135.0n/a
Comparison of DiRECT participant characteristics with those of the wider population of people with type 2 diabetes in Scotland and with those recruited into other type 2 diabetes studies A remarkably high proportion of eligible people with type 2 diabetes volunteered to enter DiRECT, including more men than is usual for weight management trials. The participants recruited were broadly representative of the unselected general population of people with up to 6 years’ duration of type 2 diabetes, and the subset in Tyneside were similar to the Scottish subset. The recruitment rates into the intervention and control arms were almost identical. The results of the weight management intervention in DiRECT are thus likely to be widely applicable to people with type 2 diabetes.
  21 in total

1.  Do men develop type 2 diabetes at lower body mass indices than women?

Authors:  J Logue; J J Walker; H M Colhoun; G P Leese; R S Lindsay; J A McKnight; A D Morris; D W Pearson; J R Petrie; S Philip; S H Wild; N Sattar
Journal:  Diabetologia       Date:  2011-09-30       Impact factor: 10.122

Review 2.  Should weight loss and maintenance programmes be designed differently for men? A systematic review of long-term randomised controlled trials presenting data for men and women: The ROMEO project.

Authors:  Clare Robertson; Alison Avenell; Charles Boachie; Fiona Stewart; Daryll Archibald; Flora Douglas; Pat Hoddinott; Edwin van Teijlingen; Dwayne Boyers
Journal:  Obes Res Clin Pract       Date:  2015-04-30       Impact factor: 2.288

3.  Why lose weight? Reasons for seeking weight loss by overweight but otherwise healthy men.

Authors:  C R Hankey; W S Leslie; M E J Lean
Journal:  Int J Obes Relat Metab Disord       Date:  2002-06

4.  Reversal of Type 2 diabetes after bariatric surgery is determined by the degree of achieved weight loss in both short- and long-duration diabetes.

Authors:  S Steven; P E Carey; P K Small; R Taylor
Journal:  Diabet Med       Date:  2014-09-12       Impact factor: 4.359

5.  Screening for the metabolic syndrome using simple anthropometric measurements in south Asian and white Europeans: a population-based screening study. The Leicester Ethnic Atherosclerosis and Diabetes Risk (LEADER) Study.

Authors:  Kamlesh Khunti; Nick Taub; Jennifer Tringham; Janet Jarvis; Azhar Farooqi; T Chas Skinner; Melanie J Davies
Journal:  Prim Care Diabetes       Date:  2010-02-04       Impact factor: 2.459

6.  Effects of intensive glucose lowering in type 2 diabetes.

Authors:  Hertzel C Gerstein; Michael E Miller; Robert P Byington; David C Goff; J Thomas Bigger; John B Buse; William C Cushman; Saul Genuth; Faramarz Ismail-Beigi; Richard H Grimm; Jeffrey L Probstfield; Denise G Simons-Morton; William T Friedewald
Journal:  N Engl J Med       Date:  2008-06-06       Impact factor: 91.245

7.  Feasibility and indicative results from a 12-month low-energy liquid diet treatment and maintenance programme for severe obesity.

Authors:  Michael Lean; Naomi Brosnahan; Philip McLoone; Louise McCombie; Anna Bell Higgs; Hazel Ross; Mhairi Mackenzie; Eleanor Grieve; Nick Finer; John Reckless; David Haslam; Billy Sloan; David Morrison
Journal:  Br J Gen Pract       Date:  2013-02       Impact factor: 5.386

8.  Access to weight reduction interventions for overweight and obese patients in UK primary care: population-based cohort study.

Authors:  Helen P Booth; A Toby Prevost; Martin C Gulliford
Journal:  BMJ Open       Date:  2015-01-13       Impact factor: 2.692

9.  Methods to improve recruitment to randomised controlled trials: Cochrane systematic review and meta-analysis.

Authors:  Shaun Treweek; Pauline Lockhart; Marie Pitkethly; Jonathan A Cook; Monica Kjeldstrøm; Marit Johansen; Taina K Taskila; Frank M Sullivan; Sue Wilson; Catherine Jackson; Ritu Jones; Elizabeth D Mitchell
Journal:  BMJ Open       Date:  2013-02-07       Impact factor: 2.692

10.  The Diabetes Remission Clinical Trial (DiRECT): protocol for a cluster randomised trial.

Authors:  Wilma S Leslie; Ian Ford; Naveed Sattar; Kieren G Hollingsworth; Ashley Adamson; Falko F Sniehotta; Louise McCombie; Naomi Brosnahan; Hazel Ross; John C Mathers; Carl Peters; George Thom; Alison Barnes; Sharon Kean; Yvonne McIlvenna; Angela Rodrigues; Lucia Rehackova; Sviatlana Zhyzhneuskaya; Roy Taylor; Mike E J Lean
Journal:  BMC Fam Pract       Date:  2016-02-16       Impact factor: 2.497

View more
  11 in total

1.  Emerging Pharmacological Targets for the Treatment of Nonalcoholic Fatty Liver Disease, Insulin Resistance, and Type 2 Diabetes.

Authors:  Leigh Goedeke; Rachel J Perry; Gerald I Shulman
Journal:  Annu Rev Pharmacol Toxicol       Date:  2019-01-06       Impact factor: 13.820

2.  Effects of Dietary App-Supported Tele-Counseling on Sodium Intake, Diet Quality, and Blood Pressure in Patients With Diabetes and Kidney Disease.

Authors:  Sarah J Schrauben; Apurva Inamdar; Christina Yule; Sara Kwiecien; Caitlin Krekel; Charlotte Collins; Cheryl Anderson; Lisa Bailey-Davis; Alex R Chang
Journal:  J Ren Nutr       Date:  2021-10-11       Impact factor: 3.655

3.  Within-trial cost and 1-year cost-effectiveness of the DiRECT/Counterweight-Plus weight-management programme to achieve remission of type 2 diabetes.

Authors:  Yiqiao Xin; Andrew Davies; Louise McCombie; Andrew Briggs; C-Martina Messow; Eleanor Grieve; Wilma S Leslie; Roy Taylor; Michael E J Lean
Journal:  Lancet Diabetes Endocrinol       Date:  2018-12-20       Impact factor: 32.069

4.  Immediate and long-term effects of a very-low-calorie diet on diabetes remission and glycemic control in obese Thai patients with type 2 diabetes mellitus.

Authors:  Mongkontida Umphonsathien; Pornsawan Prutanopajai; Juntagan Aiam-O-Ran; Titiprang Thararoop; Apaporn Karin; Chanida Kanjanapha; Wiroj Jiamjarasrangsi; Weerapan Khovidhunkit
Journal:  Food Sci Nutr       Date:  2019-02-11       Impact factor: 2.863

5.  Effectiveness of strategies for nutritional therapy for patients with type 2 diabetes and/or hypertension in primary care: protocol of a systematic review of randomised controlled trials.

Authors:  Julia Simões Corrêa Galendi; Renata Giacomini Occhiuto Ferreira Leite; Adriana Lúcia Mendes; Vania Dos Santos Nunes-Nogueira
Journal:  BMJ Open       Date:  2019-09-04       Impact factor: 2.692

Review 6.  Barocrinology: The Endocrinology of Obesity from Bench to Bedside.

Authors:  Sanjay Kalra; Nitin Kapoor; Saptarshi Bhattacharya; Hassan Aydin; Ankia Coetzee
Journal:  Med Sci (Basel)       Date:  2020-12-21

7.  Clinical and metabolic characteristics of the Diabetes Intervention Accentuating Diet and Enhancing Metabolism (DIADEM-I) randomised clinical trial cohort.

Authors:  Hadeel Zaghloul; Odette Chagoury; Sara Elhadad; Salma Hayder Ahmed; Noor Suleiman; Abdulla Al Naama; Katie El Nahas; Abdulla Al Hamaq; Mary Charlson; Martin T Wells; Samya Al Abdulla; Abdul Badi Abou-Samra; Shahrad Taheri
Journal:  BMJ Open       Date:  2020-12-07       Impact factor: 2.692

Review 8.  Therapeutic potential of mitochondrial uncouplers for the treatment of metabolic associated fatty liver disease and NASH.

Authors:  Leigh Goedeke; Gerald I Shulman
Journal:  Mol Metab       Date:  2021-02-03       Impact factor: 7.422

Review 9.  Lipotoxicity and Diabetic Nephropathy: Novel Mechanistic Insights and Therapeutic Opportunities.

Authors:  Lucas Opazo-Ríos; Sebastián Mas; Gema Marín-Royo; Sergio Mezzano; Carmen Gómez-Guerrero; Juan Antonio Moreno; Jesús Egido
Journal:  Int J Mol Sci       Date:  2020-04-10       Impact factor: 5.923

10.  Development of type 2 diabetes mellitus in people with intermediate hyperglycaemia.

Authors:  Bernd Richter; Bianca Hemmingsen; Maria-Inti Metzendorf; Yemisi Takwoingi
Journal:  Cochrane Database Syst Rev       Date:  2018-10-29
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.