Literature DB >> 28237791

Long-term incidence of microvascular disease after bariatric surgery or usual care in patients with obesity, stratified by baseline glycaemic status: a post-hoc analysis of participants from the Swedish Obese Subjects study.

Lena M S Carlsson1, Kajsa Sjöholm2, Cecilia Karlsson3, Peter Jacobson2, Johanna C Andersson-Assarsson2, Per-Arne Svensson2, Ingrid Larsson4, Stephan Hjorth2, Martin Neovius5, Magdalena Taube2, Björn Carlsson3, Markku Peltonen6.   

Abstract

BACKGROUND: Bariatric surgery is associated with remission of diabetes and prevention of diabetic complications in patients with obesity and type 2 diabetes. Long-term effects of bariatric surgery on microvascular complications in patients with prediabetes are unknown. The aim of this study was to examine the effects of bariatric surgery on incidence of microvascular complications in patients with obesity stratified by baseline glycaemic status.
METHODS: Patients were recruited to the Swedish Obese Subjects (SOS) study between Sept 1, 1987, and Jan 31, 2001. Inclusion criteria were age 37-60 years and BMI of 34 kg/m2 or greater in men and 38 kg/m2 or greater in women. Exclusion criteria were identical in surgery and control groups and designed to exclude patients not suitable for surgery. The surgery group (n=2010) underwent gastric bypass (265 [13%]), gastric banding (376 [19%]), or vertical-banded gastroplasty (1369 [68%]). Participants in the control group (n=2037) received usual care. Bodyweight was measured and questionnaires were completed at baseline and at 0·5 years, 1 year, 2 years, 3 years, 4 years, 6 years, 8 years, 10 years, 15 years, and 20 years. Biochemical variables were measured at baseline and at 2 years, 10 years, and 15 years. We categorised participants into subgroups on the basis of baseline glycaemic status (normal [fasting blood glucose concentration <5·0 mmol/L], prediabetes [5·0-6·0 mmol/L], screen-detected diabetes [≥6·1 mmol/L at baseline visit without previous diagnosis], and established diabetes [diagnosis of diabetes before study inclusion]). We obtained data about first incidence of microvascular disease from nationwide registers and about diabetes incidence at study visits at 2 years, 10 years, and 15 years. We did the main analysis by intention to treat, and subgroup analyses after stratification by baseline glycaemic status and by diabetes status at the 15 year follow-up. The SOS study is registered with ClinicalTrials.gov, NCT01479452.
FINDINGS: 4032 of the 4047 participants in the SOS study were included in this analysis. We excluded four patients with suspected type 1 diabetes, and 11 patients with unknown glycaemic status at baseline. At baseline, 2838 patients had normal blood glucose, 591 had prediabetes, 246 had screen-detected diabetes, and 357 had established diabetes. Median follow-up was 19 years (IQR 16-21). We identified 374 incident cases of microvascular disease in the control group and 224 in the surgery group (hazard ratio [HR] 0·56, 95% CI 0·48-0·66; p<0·0001). Interaction between baseline glycaemic status and effect of treatment on incidence of microvascular disease was significant (p=0·0003). Unadjusted HRs were lowest in the subgroup with prediabetes (0·18, 95% CI 0·11-0·30), followed by subgroups with screen-detected diabetes (0·39, 0·24-0·65), established diabetes (0·54, 0·40-0·72), and normoglycaemia (0·63, 0·48-0·81). Surgery was associated with reduced incidence of microvascular events in people with prediabetes regardless of whether they developed diabetes during follow-up.
INTERPRETATION: Bariatric surgery was associated with reduced risk of microvascular complications in all subgroups, but the greatest relative risk reduction was observed in patients with prediabetes at baseline. Our results suggest that prediabetes should be treated aggressively to prevent future microvascular events, and effective non-surgical treatments need to be developed for this purpose. FUNDING: US National Institutes of Health, Swedish Research Council, Sahlgrenska University Hospital Regional Agreement on Medical Education and Research, and Swedish Diabetes Foundation.
Copyright © 2017 Elsevier Ltd. All rights reserved.

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Year:  2017        PMID: 28237791      PMCID: PMC5394228          DOI: 10.1016/S2213-8587(17)30061-X

Source DB:  PubMed          Journal:  Lancet Diabetes Endocrinol        ISSN: 2213-8587            Impact factor:   32.069


Introduction

Type 2 diabetes is a global health problem largely caused by obesity and sedentary lifestyle.[1] Worldwide, the number of adults with diabetes increased from 108 million in 1980 to 422 million in 2014[2] and this is predicted to increase to 592 million by 2035.[3] In the US, 38% of adults have prediabetes,[4] a condition with glucose levels that are higher than normal but below the threshold for type 2 diabetes. In individuals aged 45 years, prediabetes confers a 74% lifetime risk to progress to diabetes.[5] Diabetes is associated with severe macrovascular complications, leading to myocardial infarction, stroke and peripheral vascular disease,[6] and microvascular complications, affecting eyes, nerves, and kidneys.[7] The relationship between blood glucose levels and macrovascular disease appears to be continuous with increased risk already at glucose levels defined as prediabetic.[8] However, although it is well established that hyperglycemia is a risk factor for microvascular complications,[9-11] the connection between prediabetes and the pathogenesis of microvascular disease is less clear. The threshold for defining diabetes corresponds to glucose levels above which the risk of diabetic retinopathy has been shown to increase.[12] According to clinical guidelines, antidiabetic treatment should be initiated to reduce the risk of microvascular complications when glucose levels are above this threshold. In patients with diabetes, the incidence and progression of microvascular disease are reduced by improved glycemic control achieved by glucose-lowering medications[13-15] or intensive lifestyle intervention,[16] as well as by bariatric surgery,[17] which has been shown to cause diabetes remission in many patients with obesity.[17-20] However, the cut-off for defining diabetes is derived from non-interventional studies and does not take into account possible differences in the magnitude of the treatment effect in patients with different stages of the disease. Studies have shown that lifestyle modification, medication or bariatric surgery can prevent progression from prediabetes to type 2 diabetes,[21,22] but to our knowledge there are no longitudinal studies that have compared the effect of treatment on microvascular complications in patients with prediabetes, type 2 diabetes and normal glucose levels at baseline. In this explorative study, we examined the effects of bariatric surgery on the incidence of microvascular complications over up to 26 years in subgroups from the Swedish Obese Subjects (SOS) study stratified by glucose status at baseline.

Methods

Study design and treatment

The SOS study has previously been described[23] (for details see appendix). In brief, 2010 subjects who chose surgical treatment formed the surgery group and a non-randomized contemporaneously matched control group (n=2037) was created using 18 matching variables. The surgery and control groups had identical inclusion and exclusion criteria. The inclusion criteria were age 37 to 60 years and body mass index (BMI) of 34 kg/m2 or more for men and 38 kg/m2 or more for women, corresponding to a doubling in the rate of death in each sex.[24] In the surgery group, 265 underwent gastric bypass (13·2%), 376 banding (18·7%), and 1369 vertical banded gastroplasty (68·1%). The control group received the customary treatment for obesity and diabetes at their primary health care centers. Fasting blood samples were taken at baseline, and after 2, 10, and 15 years. Self-reported diabetes and hypertension medication was obtained from SOS questionnaires. The study was approved by the relevant ethics review boards, and written or oral informed consent was obtained from all participants.

Stratification based on baseline glucose status and diabetes remission after 15 years

Patients were stratified into subgroups with baseline euglycemia, impaired fasting glucose (prediabetes), and type 2 diabetes that was either detected at inclusion (screen-detected) or previously diagnosed (established). Prediabetes was defined as a fasting blood glucose level of 5·0–6·0mmol/L (corresponding to fasting plasma glucose level of 5·6–6·9 mmol/L).[25] Diabetes was defined by the use of diabetes medication, a fasting blood glucose level of 6·1 mmol/L or higher (corresponding to fasting plasma glucose of 7·0 mmol/L or higher). The study was initiated before repeated measurements were routinely used for the diagnosis of type 2 diabetes and single fasting glucose determinations were therefore used. For diabetes with onset before 35 years, we ruled out type 1 diabetes and latent autoimmune diabetes of adults by excluding patients positive for glutamate decarboxylase antibodies or islet cell antibodies or with C-peptide values below the detection limit at baseline. This resulted in exclusion of 2 patients in the control group and 2 in the surgery group. In addition, 11 patients had missing glucose status at baseline (4 in the control group and 7 in the surgery group) and they were excluded. Diabetes remission was defined as fasting blood glucose levels lower than 6.1 mmol/L and no diabetes medication. Patients in diabetes remission could therefore either be in partial remission (5.0–<6.1 mmol/L) or complete remission (<5.0 mmol/L). This definition has been used previously for analyzing remission rate in the SOS study[17] and the glucose cut-offs are identical to those recommended by the American Diabetes Association.[26]

Microvascular complications

Microvascular events diagnosed during hospital or hospital-based outpatient care or that were associated with death were identified by searching the Swedish Cause of Death Register and the National Patient Register using International Classification of Diseases and intervention codes. Retinopathy was identified by codes for eye complications, diabetes retinopathy, and retinal operations; diabetic kidney disease by codes for kidney complications, diabetes nephropathy, albuminuria, renal failure, kidney transplantation, kidney biopsy, and dialysis; neuropathy by codes for neurological complications, amyothrophy, autonomous (poly)neuropathy, mononeuropathy, and polyneuropathy (appendix, Table S1). The National Patient Register has 99% coverage of inpatient care and around 80% coverage of specialist outpatient care for somatic diseases.[27] There is no nationwide register for visits to general practitioners in Sweden.

Statistical methods

Mean and median values, standard deviations, and proportions were used to describe the baseline characteristics. Differences between treatment groups were evaluated with t-tests for continuous variables and a logistic regression model for dichotomous variables. Diabetes status was determined at follow-up examinations until July 1, 2015. Participants were followed in registers until the first microvascular event or December 31, 2013 (the date the registers were complete at the time of register linkage). Those without microvascular events during follow-up were censored at December 31, 2013, or at the date of emigration (n=49) or death. Two persons who withdrew consent were censored immediately after the date of inclusion to the study. First, time to events was analyzed with Kaplan-Meier estimates of cumulative incidence, and then Cox proportional hazard models to estimate the difference between the surgery and control groups, expressed as hazard ratios with 95% confidence intervals. The primary analysis was an unadjusted analysis including a single covariate indicating the surgery/control treatment, and then complemented by an analysis with adjustment for preselected baseline risk factors; age, sex, BMI, high blood pressure, urinary albumin excretion, and smoking. The proportional hazard assumption in the Cox model was evaluated with log-log plots and a statistical test of interaction between treatment and time. No evidence of violation of this assumption was found. In addition, a propensity score approach was used in the sensitivity analyses to account for differences in characteristics of the treatment groups (appendix, Table S2). In secondary subgroup analyses, the incidence rates were calculated in subgroups defined by risk factors at baseline. The subgroups were based on quartiles of age, BMI, and insulin, and glucose subgroups defined by baseline euglycemia, prediabetes, screen-detected diabetes, and established diabetes. We tested whether the influence of bariatric surgery on the incidence of microvascular events varied by risk factor level in these subgroups by including the corresponding interaction term [i.e. product of type of treatment (surgery or control), and the corresponding subgroup-variable] in the Cox proportional hazard models. Separate models were fitted when evaluating the interaction between the treatment variable and each of the subgroup variables. The expected number of surgeries needed to prevent one first-time microvascular event over 10 years (number needed to treat; NNT) was calculated in different subgroups as the reciprocal of the absolute risk difference between individuals in the surgery and control groups. All p values are two-sided and p values of less than 0·05 were considered to indicate statistical significance. The primary analysis was according to the intention-to-treat principle: controls who underwent bariatric surgery and surgery patients with reinstated anatomy during follow-up remained in their original treatment groups. Additional sensitivity analyses were done using per-protocol approach: controls who underwent bariatric surgery and surgery patients with reinstated anatomy were censored at the time of surgery. Statistical analyses were carried out using Stata statistical package 12.1 (Stata-Corp. 2011, Stata Statistical Software: Release 12, College Station, TX, USA; StataCorp LP).

Role of the funding source

The funders of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report. LMSC and MP had full access to all the data. LMSC had final responsibility for the decision to submit for publication.

Results

Baseline characteristics, weight changes and medication during follow-up

After exclusion of 4 patients with suspected type 1 diabetes, and 11 patients with unknown glucose status at baseline, 4032 of the 4047 participants in the SOS study were included in the current analysis (2031 controls and 2001 surgically treated patients). The median follow-up time was 19 years (interquartile range 16 to 21 years, maximum 26 years) in both the surgery and control groups. Baseline characteristics in glucose subgroups with euglycemia, prediabetes, screen-detected diabetes, and established diabetes are shown in Table 1. In total, there were 35 patients with history of microvascular disease at baseline (16 in the control group and 19 in the surgery group, p=0·61). In all subgroups, patients in the control group were slightly older, while several other risk factors were worse in the surgery group. After bariatric surgery, average maximal weight loss ranged from 25 to 32 kg in the subgroups (Figure S1). The weight changes in the control group were smaller, and varied from a few kg weight gain in the subgroup with baseline euglycemia to a weight loss of around 9 kg in the subgroup with screen-detected diabetes (Figure S1). The proportion of patients using antihypertensive, lipid-lowering and diabetes drugs during the follow-up was generally lower in the surgery group as compared to controls (appendix, Table S3).
Table 1

Baseline characteristics of participants in the SOS study stratified by baseline glucose status.

EuglycemiaPrediabetesScreen-Detected Type 2 DiabetesEstablished Type 2 Diabetes
Control (n=1481)Surgery (n=1357)Control (n=290)Surgery (n=301)Control (n=87)Surgery (n=159)Control (n=173)Surgery (n=184)
MeanSD/ratioMeanSD/ratioMeanSD/ratioMeanSD/ratioMeanSD/ratioMeanSD/ratioMeanSD/ratioMeanSD/ratio
Age, years48·26·246·75·949·76·347·56·150·16·448·95·950·66·348·46·0
Men, %26·9398/148126·5359/135730·087/29029·288/30142·537/8736·558/15938·767/17345·183/184
Weight, kg113·916·4120·015·9117·516·6122·717·2122·916·9126·320·8113·115·7120·316·2
Body-Mass Index, kg/m240·04·742·34·441·24·943·14·842·04·343·55·139·04·541·03·9
Waist circumference, cm119·311·5124·610·6122·610·7127·410·7126·611·0130·813·3121·18·6127·110·0
Waist-Hip Ratio0·9710·0740·9830·0760·9840·0691·0010·0761·0010·0601·0120·0781·0160·0681·0280·079
Systolic Blood Pressure, mmHg136·617·6143·118·1139·818·1147·720·0147·318·2152·319·6141·818·8148·818·5
Diastolic Blood Pressure, mmHg84·610·389·111·086·011·790·911·590·910·993·311·785·510·890·610·6
Hypertension, %§59·2877/148174·91015/135670·7205/29082·1247/30183·973/8791·2145/15983·2144/17388·0162/184
Serum Cholesterol, mmol/L5·61·05·91·15·71·15·91·05·71·25·91·35·71·25·91·2
Serum HDL cholesterol, mmol/L1·380·341·370·321·290·291·350·311·240·271·280·311·240·301·230·30
Serum Triglycerides, mmol/L1·800·962·091·352·321·782·261·272·742·482·852·212·962·342·962·17
Blood Glucose, mmol/L4·180·424·240·415·420·315·420·307·982·317·882·078·952·809·332·90
Serum Insulin, mU/L15·88·719·111·022·911·624·713·830·523·130·515·223·114·127·222·5
C-Peptide, ng/mL3·41·23·81·54·21·34·51·55·02·25·44·33·81·54·01·4
Serum Creatinine, μmol/L69·49·568·98·570·19·170·19·371·311·569·38·569·89·869·89·8
Albumin Excretion, μgram/min*6·84·5–12·57·84·9–14·79·25·4–19·39·55·0–20·512·57·7–26·014·56·7–33·213·16·2–34·617·68·7–55·5
Smoking, %20·4301/147726·6361/135622·866/28923·370/30119·316/8326·642/15821·537/17223·443/184

Hypertension: diastolic blood pressure >90, or systolic blood pressure >140, or medication.

Median and interquartile range

Incidence of microvascular events in subgroups defined by baseline glucose status

In the entire cohort, there were 224 events first-time microvascular events (complications of the eyes, kidneys, or nerves, whichever came first) in the surgery group and 374 events in the control group, corresponding to incidence rates of 6·3 and 10·9 events per 1000 person-years, respectively (hazard ratio, 0·56; 95% CI 0·48–0·66; p<0·0001). In the control group, the incidence of microvascular events was higher in men than in women, increased with aging, severity of glucose dysregulation, and insulin concentrations but was similar across subgroups defined by baseline BMI (Figure 1). Bariatric surgery was associated with reduced incidence of microvascular events in all subgroups except for those aged 47·8–53·0 years (p=0·058).
Figure 1

Risk factor-treatment interaction analyses for incidence of microvascular events in the SOS study

A: Incidence of first time microvascular events (retinopathy, nephropathy and neuropathy, whichever came first) in high-risk and low-risk subgroups. For continuous variables, subgrouping is based on quartiles of baseline values. B: Risk factor-treatment interactions for microvascular events in subgroups. C: Number needed to treat (NNT) over 10 years to prevent one microvascular event.

The only statistically significant interaction between treatment effect and baseline risk factors was observed for baseline glucose status (p for interaction 0·0003) (Figure 1). In the glucose subgroups, the lowest hazard ratio was observed for those with prediabetes (0·18, 95% CI 0·11–0·30; p<0·0001), followed by screen-detected diabetes (0·39, 95% CI 0·24–0·65; p=0·0002), established diabetes (0·54, 95% CI 0·40–0·72; p<0·0001), and euglycemia (0·63, 95% CI 0·48–0·81; p=0·0003) (Figure 1). These associations persisted after multivariable adjustment for baseline risk factors (age, sex, BMI, blood pressure, urinary albumin excretion, and smoking) (Figure 2). The treatment benefit was greater in patients with prediabetes compared to that in patients with screen-detected diabetes (p=0·0256), established diabetes (p=0·00010), and normal glucose status (p<0·0001). Results remained essentially unchanged after analyses based on per-protocol approaches and with different adjustments/matching (appendix, Table S2).
Figure 2

Cumulative incidence of microvascular events after bariatric surgery or usual care in subgroups stratified by baseline glucose status

The x-axes are truncated at 20 years but all observations after 20 years were included in the analyses. Euglycemia, normal fasting glucose; Prediabetes, impaired fasting glucose; ST2D, screen-detected type 2 diabetes; T2D, established type 2 diabetes. HR, hazard ratio; HRa, adjusted hazard ratio.

In the entire cohort, one microvascular event was prevented for every 22 patients who underwent surgery (Figure 1). After stratification by baseline glucose status, the NNT was similar in subgroups with prediabetes, screen-detected diabetes, and established diabetes (7, 8, and 4, respectively) but higher (48) in the subgroup with baseline euglycemia.

Incidence of microvascular events affecting eyes, kidneys, and nerves

Retinopathy was the most common microvascular complication, and the incidence was reduced after bariatric surgery in all subgroups stratified by baseline glucose status with hazard ratios ranging from 0·18 (95% CI 0·09–0·36; p<0·0001) in the subgroup with prediabetes to 0·51 (95% CI 0·37–0·70; p<0·0001) in the subgroup with established diabetes (Figure S2a). Bariatric surgery was also associated with reduced incidence of diabetic kidney disease in the subgroup with prediabetes (hazard ratio 0·29 (95% CI 0·15–0·56), p<0·0001) and the subgroup with established diabetes (hazard ratio 0·47 (95% CI 0·29–0·77), p=0·0019) but not in the subgroups with baseline euglycemia (p=0·1697) or screen-detected diabetes (p=0·0506) (Figure S2b). Microvascular complications affecting nerves were few and bariatric surgery was only associated with reduced incidence in the subgroup with prediabetes (p=0.0012) (Figure S2c).

Incidence of microvascular events in patients with diabetes at baseline in relation to diabetes remission during follow-up

In the surgery group, 30·2% (n=39) of the patients with baseline diabetes were in remission at the 15-year follow-up. Patients in remission had a significantly lower incidence of microvascular events compared with those who were not in remission after 15 years (8·0 versus 25·2 events per 1000 person-years, hazard ratio 0·21, 95% CI 0·08–0·56; p=0·0005, Figure S3).

Incidence of microvascular events in patients with prediabetes at baseline in relation to diabetes status during follow-up

In the subgroup with baseline prediabetes, 54·5% (n=158) of the controls and 15·6% (n=47) of the patients in the surgery group had developed diabetes at or before the 15-year follow-up. The incidence of microvascular events was higher in the patients who developed diabetes compared with those who remained diabetes free during follow-up (p<0·0001). Among patients with baseline prediabetes, bariatric surgery was associated with reduced incidence of microvascular events in those who developed diabetes (hazard ratio 0·27 (95% CI 0·12–0·61), p=0·0011) and also in those who remained free from diabetes during follow-up (hazard ratio 0·22 (95% CI 0·11–0·44), p<0·0001) (Figure 3). In addition, bariatric surgery was associated with lower fasting glucose levels at the 2-year follow-up in those with baseline prediabetes who remained free from diabetes during long-term follow-up (blood glucose: 4·18±0·55 and 4·86±0·65 mmol/L in the surgery and control groups, respectively; p<0·0001).
Figure 3

Cumulative incidence of microvascular events after bariatric surgery or usual care in patients with baseline prediabetes stratified by development of type 2 diabetes at or before the 15-year follow-up

The x-axes are truncated at 20 years but all observations after 20 years were included in the analyses. Prediabetes, impaired fasting glucose; Without diabetes, type 2 diabetes not present at or before the 15-year follow-up; With diabetes, type 2 diabetes diagnosed at or before the 15-year follow-up. HR, hazard ratio; HRa, adjusted hazard ratio.

Discussion

In this exploratory study we show that bariatric surgery, compared with usual care, is associated with reduced incidence of microvascular diabetes complications in patients with obesity and glucose status ranging from euglycemia to established diabetes, and that the relative risk reduction is greatest in patients with prediabetes. Our results illustrate the importance of durable diabetes remission for prevention of microvascular events. Patients with diabetes who were treated by bariatric surgery and experienced long-lasting remission, had markedly reduced risk of microvascular diabetes complications compared with those who were not in remission at the 15-year follow-up, however, it is unknown if patients cycled between remission and relapse before this time point. There have been similar findings in the literature; fewer microvascular complications in patients with diabetes who experienced remission after gastric bypass[28] and an additional reduction of the risk for microvascular disease for every year spent in remission after bariatric surgery, even if the patients eventually experienced a relapse.[29] Importantly, we also show that bariatric surgery reduces the risk of future microvascular events in those with prediabetes at baseline regardless of whether they had progressed to diabetes or remained diabetes free at the 15-year follow-up. In an earlier report, we showed that prevention of diabetes complications was greater when bariatric surgery was performed in patients with recently diagnosed diabetes than in those with longer diabetes duration.[17] This observation, together with the reduced incidence of diabetes after bariatric surgery in patients with obesity,[22] led us to speculate that intervention even before diabetes has been diagnosed may prevent diabetes complications. In our current study, we showed that bariatric surgery reduced the risk of microvascular events in patients with obesity and baseline prediabetes or euglycemia. With the exception of a report from the Diabetes Prevention Outcome Study in Da Qing, China, showing that lifestyle intervention (diet, exercise, or diet plus exercise for 6 years) reduces the 20-year incidence of severe retinopathy in individuals with prediabetes (when the three intervention groups were combined),[30] no previous intervention study has shown a reduced incidence of microvascular events in patients without diabetes. In a recent 15-year follow-up of the Diabetes Prevention Program in the US, those who remained diabetes free had 28% lower prevalence of microvascular complications compared with those who developed diabetes.[21] Similarly, in our study, we observed a greater reduction of microvascular events in patients with baseline prediabetes who remained diabetes free for 15 years compared to those who developed diabetes during follow-up, emphasizing the importance of successful diabetes prevention to reduce microvascular complications. Importantly, we also found that the incidence of microvascular events in patients with baseline prediabetes who remained diabetes free was lower in those treated by bariatric surgery compared with usual care. At the 2-year follow-up, we showed that fasting glucose levels in participants with baseline prediabetes who remained free from diabetes at the 15-year follow-up were significantly lower in the surgery group compared with the control group. Thus, the reduced risk for microvascular events after bariatric surgery cannot merely be explained by prevention of diabetes but may also be related to reduction of slightly elevated glucose levels in patients with baseline prediabetes who remained diabetes free during follow-up. Prediabetes and diabetes represent different stages of the same progressive disease, only distinguished by diagnostic criteria that have been described as quite arbitrary[31] but that greatly influence patient care. When diabetes is diagnosed, treatment is immediately started and the goal, defined by leading organizations,[25,32] is to achieve the best possible glucose control in order to prevent future vascular complications. In contrast, treatment of prediabetes is much less aggressive, although in recent years the American Diabetes Association has started to recommend lifestyle treatment and, for some groups, metformin to prevent diabetes development.[33] Because the glycemic cut-off for diabetes is based on risk for microvascular complications, our result showing the benefit of treating prediabetes is perhaps unexpected. However, this cut-off was originally chosen on the basis of cross-sectional data[12] whereas our study examines longitudinal interventional data. Our findings emphasize the importance of treating prediabetes by demonstrating that even without progression to diabetes, long-term exposure to slightly elevated glucose levels below the diabetes threshold increases the risk for diabetes complications. The SOS study has some limitations, including the lack of randomization due to ethical reasons related to the high risk of bariatric surgery in the 1980s. The majority of patients underwent surgical procedures that are not used today and due to sample size and number of events it was not feasible to stratify the analysis by type procedure. Our study is also limited by the lack of HbA1c data and the fact that the nationwide health registers used to trace microvascular events do not capture visits to general practitioners. Although the development of microvascular complications was not a pre-specified endpoint in the original study plan, the SOS study is to our knowledge the only available study allowing evaluation of the long-term effects of an intervention on microvascular disease in patients with obesity and glucose status ranging from euglycemia to established type 2 diabetes. Ideally, randomized studies should be performed to confirm our results and verify the large treatment benefit in patients with prediabetes, i.e. patients who are not currently prioritized for bariatric surgery. It has been suggested that the definition of success of bariatric surgery should focus on improvement of obesity related comorbidities[34] and our results suggest that this should include prevention of microvascular events. In conclusion, our results show that bariatric surgery reduces the incidence of microvascular complications in patients with obesity with or without diabetes at the time of surgery and that the treatment benefit is greater in patients with prediabetes compared with those with diabetes or normal glucose status at baseline. The fact that bariatric surgery prevented microvascular events in patients with prediabetes who remained diabetes free shows that exposure to glucose levels that appear to be harmless in cross-sectional cohorts can cause significant damage if they persist over a long time. Our data therefore indicate that prediabetes is a condition that should be treated more aggressively rather than waiting until glucose levels reach the diabetic range.
  34 in total

1.  Lifestyle, diabetes, and cardiovascular risk factors 10 years after bariatric surgery.

Authors:  Lars Sjöström; Anna-Karin Lindroos; Markku Peltonen; Jarl Torgerson; Claude Bouchard; Björn Carlsson; Sven Dahlgren; Bo Larsson; Kristina Narbro; Carl David Sjöström; Marianne Sullivan; Hans Wedel
Journal:  N Engl J Med       Date:  2004-12-23       Impact factor: 91.245

Review 2.  Long-term complications of diabetes mellitus.

Authors:  D M Nathan
Journal:  N Engl J Med       Date:  1993-06-10       Impact factor: 91.245

3.  Height, weight and mortality. The Norwegian experience.

Authors:  H T Waaler
Journal:  Acta Med Scand Suppl       Date:  1984

4.  Bariatric surgery versus intensive medical therapy for diabetes--3-year outcomes.

Authors:  Philip R Schauer; Deepak L Bhatt; John P Kirwan; Kathy Wolski; Stacy A Brethauer; Sankar D Navaneethan; Ali Aminian; Claire E Pothier; Esther S H Kim; Steven E Nissen; Sangeeta R Kashyap
Journal:  N Engl J Med       Date:  2014-03-31       Impact factor: 91.245

Review 5.  Preservation of β-cell function: the key to diabetes prevention.

Authors:  Ralph A DeFronzo; Muhammad A Abdul-Ghani
Journal:  J Clin Endocrinol Metab       Date:  2011-06-22       Impact factor: 5.958

6.  How do we define cure of diabetes?

Authors:  John B Buse; Sonia Caprio; William T Cefalu; Antonio Ceriello; Stefano Del Prato; Silvio E Inzucchi; Sue McLaughlin; Gordon L Phillips; R Paul Robertson; Francesco Rubino; Richard Kahn; M Sue Kirkman
Journal:  Diabetes Care       Date:  2009-11       Impact factor: 19.112

Review 7.  Diabetes: Advances in Diagnosis and Treatment.

Authors:  David M Nathan
Journal:  JAMA       Date:  2015-09-08       Impact factor: 56.272

8.  External review and validation of the Swedish national inpatient register.

Authors:  Jonas F Ludvigsson; Eva Andersson; Anders Ekbom; Maria Feychting; Jeong-Lim Kim; Christina Reuterwall; Mona Heurgren; Petra Otterblad Olausson
Journal:  BMC Public Health       Date:  2011-06-09       Impact factor: 3.295

9.  Long-term effects of lifestyle intervention or metformin on diabetes development and microvascular complications over 15-year follow-up: the Diabetes Prevention Program Outcomes Study.

Authors: 
Journal:  Lancet Diabetes Endocrinol       Date:  2015-09-13       Impact factor: 32.069

10.  Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4.4 million participants.

Authors: 
Journal:  Lancet       Date:  2016-04-06       Impact factor: 79.321

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Authors:  Shazia Jehan; Ferdinand Zizi; Seithikurippu R Pandi-Perumal; Steven Wall; Evan Auguste; Alyson K Myers; Girardin Jean-Louis; Samy I McFarlane
Journal:  Sleep Med Disord       Date:  2017-12-12

2.  The Mitigating Effect of Phentermine and Topiramate on Weight Regain After Roux-en-Y Gastric Bypass Surgery.

Authors:  Nawfal W Istfan; Wendy A Anderson; Donald T Hess; Liqun Yu; Brian Carmine; Caroline M Apovian
Journal:  Obesity (Silver Spring)       Date:  2020-06       Impact factor: 5.002

Review 3.  Comorbidities as an Indication for Metabolic Surgery.

Authors:  Anne-Catherine Schwarz; Adrian T Billeter; Katharina M Scheurlen; Matthias Blüher; Beat P Müller-Stich
Journal:  Visc Med       Date:  2018-10-28

Review 4.  Bariatric Surgery for Adolescents with Type 2 Diabetes: an Emerging Therapeutic Strategy.

Authors:  M A Stefater; T H Inge
Journal:  Curr Diab Rep       Date:  2017-08       Impact factor: 4.810

5.  Microcirculatory Improvement Induced by Laparoscopic Sleeve Gastrectomy Is Related to Insulin Sensitivity Retrieval.

Authors:  Stefano Ministrini; Chiara Fattori; Maria Anastasia Ricci; Vanessa Bianconi; Rita Paltriccia; Marcello Boni; Maria Teresa Paganelli; Gaetano Vaudo; Graziana Lupattelli; Leonella Pasqualini
Journal:  Obes Surg       Date:  2018-10       Impact factor: 4.129

6.  Comparison of Preoperative Remission Scores and Diabetes Duration Alone as Predictors of Durable Type 2 Diabetes Remission and Risk of Diabetes Complications After Bariatric Surgery: A Post Hoc Analysis of Participants From the Swedish Obese Subjects Study.

Authors:  Kajsa Sjöholm; Lena M S Carlsson; Magdalena Taube; Carel W le Roux; Per-Arne Svensson; Markku Peltonen
Journal:  Diabetes Care       Date:  2020-09-01       Impact factor: 19.112

7.  Effects of Bariatric Surgery in Early- and Adult-Onset Obesity in the Prospective Controlled Swedish Obese Subjects Study.

Authors:  Felipe M Kristensson; Johanna C Andersson-Assarsson; Per-Arne Svensson; Björn Carlsson; Markku Peltonen; Lena M S Carlsson
Journal:  Diabetes Care       Date:  2020-01-23       Impact factor: 19.112

8.  Gastric Bypass Surgery Reduces De Novo Cases of Type 2 Diabetes to Population Levels: A Nationwide Cohort Study From Sweden.

Authors:  Olof Backman; Gustaf Bruze; Ingmar Näslund; Johan Ottosson; Richard Marsk; Martin Neovius; Erik Näslund
Journal:  Ann Surg       Date:  2019-05       Impact factor: 12.969

9.  Bariatric surgery leads to an improvement in small nerve fibre damage in subjects with obesity.

Authors:  Shazli Azmi; Maryam Ferdousi; Yifen Liu; Safwaan Adam; Zohaib Iqbal; Shaishav Dhage; Georgios Ponirakis; Tarza Siahmansur; Andrew Marshall; Ioannis Petropoulos; Alise Kalteniece; Jan Hoong Ho; Akheel Syed; John M Gibson; Basil J Ammori; Paul N Durrington; Rayaz A Malik; Handrean Soran
Journal:  Int J Obes (Lond)       Date:  2021-01-27       Impact factor: 5.095

10.  Improvement in Eating Disorder Risk and Psychological Health in People with Class 3 Obesity: Effects of a Multidisciplinary Weight Management Program.

Authors:  Milan K Piya; Ritesh Chimoriya; William Yu; Kathy Grudzinskas; Kyaw Phone Myint; Kathryn Skelsey; Nic Kormas; Phillipa Hay
Journal:  Nutrients       Date:  2021-04-23       Impact factor: 5.717

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