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Journal of Obesity & Metabolic Syndrome logoLink to Journal of Obesity & Metabolic Syndrome
. 2021 Jan 13;30(2):104–114. doi: 10.7570/jomes20084

Preoperative Bariatric Surgery Predictors of Type 2 Diabetes Remission

Joshua Fultang 1,2, Ugochukwu Chinaka 1,2, Jean Rankin 2, Andisheh Bakhshi 2, Abdulmajid Ali 1,2,*
PMCID: PMC8277586  PMID: 33436532

Abstract

Obesity represents a significant proportion of the global public health burden, with the World Health Organization (WHO) estimating more than 600 million people are affected worldwide. Unfortunately, the epidemic of obesity is linked to the increased prevalence of associated metabolic diseases such as type 2 diabetes mellitus (T2DM). Bariatric surgery as an intervention has been shown to provide sustainable weight loss, and also leads to superior short- and long-term metabolic benefits including T2DM remission. Despite this added advantage conferred by bariatric surgery, emerging evidence has shown that not all patients with T2DM achieve remission postoperatively. As such, to improve patient selection and optimize preoperative counselling, research has focused on the preoperative predictors of T2DM remission following bariatric surgery. Herein, we provide a critical review of the current literature addressing preoperative predictors of T2DM remission and highlight the current gaps in the literature. The review comprised a multistage advanced electronic search of the Ovid/Medline, Embase, and Cochrane online libraries to identify available studies published over the last decade.

Keywords: Outcome, Bariatric surgery, Diabetes remission, Type 2 diabetes mellitus

INTRODUCTION

The last few decades have been dominated by an ever-increasing global obesity epidemic. The World Health Organization estimated that in 2016 close to two billion individuals were overweight (body mass index [BMI], 25–29.9 kg/m2) and more than 600 million were obese (BMI >30 kg/m2) worldwide.1 The direct consequence of this burden of obesity is the concomitant increase in the prevalence of associated comorbidities, and of type 2 diabetes mellitus (T2DM) in particular.2 Management of chronic hyperglycemia secondary to T2DM is achieved by medication and lifestyle modifications.2,3 The metabolic benefits of these lifestyle modifications are underpinned by weight loss and are generally limited to short- and mid-term improvements.2,3 Since its inception, bariatric surgery has produced superior and more long-term weight loss and T2DM remission.2,4,5

In the early 1990s, Pories et al.6 reported significant long-term improvement in glycemic control of obese patients with T2DM following bariatric surgery. In a subsequent study with 14 years follow up, the researchers found 82.9% of patients with T2DM were able to maintain euglycemia. This study was the first documentation of bariatric surgery as a potential “cure’’ for T2DM.7 The researchers also observed that younger patients and those with a shorter duration of T2DM were more likely to go into remission postoperatively.8

More evidence supporting the role of bariatric surgery in the treatment of T2DM emerged in the early 2000s. Six key studies were published, including one randomized control trial (RCT),9 three prospective10-12 and two retrospective13,14 cohort studies. These studies consistently showed that bariatric surgery patients had significantly greater postoperative T2DM remission rates (up to 86%).14 Another pivotal study was the prospective, controlled Swedish Obese Subjects (SOS) study where 72% of patients self-reported remission at 2 years postoperatively.15

The American Diabetes Association (ADA) multidisciplinary expert panel reached a consensus on the definition of T2DM remission in 2009 in an attempt to distill the available evidence.16 This consensus statement defined the types of remission as follows. (1) Partial remission: glycemic indices fall into the pre-diabetic range (glycosylated hemoglobin [HbA1c], 5.7%–6.4%; fasting plasma glucose [FPG], 100–125 mg/dL) for at least 1 year; (2) complete remission: restoration of normoglycemia (HbA1c, <5.7%; FPG, <100 mg/dL) for at least 1 year; (3) prolonged remission: complete remission of at least 5 years’ duration.

Since the ADA consensus, many studies have focused on T2DM remission and its preoperative, operative and postoperative predictors. This literature review aimed to utilize a systematic approach to offer a critical assessment of current evidence addressing T2DM remission, with a particular focus on the identification of preoperative predictors of remission.

SEARCH STRATEGY AND STUDY SELECTION

An advanced multistage electronic search was performed in December of 2019 using the Ovid/Medline, Embase, and Cochrane online libraries to identify available studies relevant to the subject. Only studies published within the last decade were reviewed.

The exclusion criteria included all publications with abstracts only, studies with no surgical intervention, animal studies, case reports, studies in T2DM patients with a BMI <30 kg/m2, non-English language, sample size less than 50, replies to editors, comments, and duplicate studies. The main inclusion criteria were publications reporting T2DM remission following bariatric surgery and preoperative predictors of remission. A detailed Preferred Reporting Items for Systematic Reviews and Meta- Analyses (PRISMA) flow diagram is provided in Fig. 1.

Figure. 1.

Figure. 1

Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram indicating the number of studies included in this review. The literature search yielded 316 articles. Sixty-seven of these were deemed eligible for review and 32 included in the literature review.

Historically, predictors of T2DM remission have been grouped into preoperative factors (such as duration of diabetes [DoD], age, ethnicity, sex, baseline HbA1c, baseline BMI), operative (type of surgery), and postoperative (postoperative weight loss, complications). The main preoperative variables that have been explored in the literature review are highlighted in Table 1.

Table 1.

Summary of included studies, study types, and preoperative predictors

Author (year) Study type Procedure n Age DoD C-peptide Baseline BMI Baseline HbA1c Insulin use Sex Race Scoring model
Chikunguwo et al. (2010)20 Retrospective RYGB 177 O O
Hamza et al. (2011)21 Retrospective LAGB 74 O O
Hayes et al. (2011)22 Prospective RYBG, GB 127 N O O O LRM
Carlsson et al. (2012)23 Prospective RYGB, AGB, VBG 1,658 N O N N
Jiménez et al. (2012)24 Prospective SG 153 O O O
Lee et al. (2013)25 Retrospective RYGB, GB 63 O O O O ABCD
Arterburn et al. (2013)26 Retrospective RYGB 4,434 O O O O
Dixon et al. (2013)27 Retrospective GB 154 O O O N LRM
Aarts et al. (2013)28 Retrospective RYGB 56 O N O O
Ramos-Levi et al. (2014)29 Retrospective SG, RYGB, BPD 141 O O O N O O O LRM
Still et al. (2014)30 Retrospective RYGB 690 O O O O DiaRem
Robert et al. (2013)31 Retrospective LAGB, RYBG, SG 46 O O O O
English et al. (2015)32 Retrospective RYGB 245 O
Bhasker et al. (2015)33 Prospective RYBG 102 O O O O O
Panunzi et al. (2016)34 Prospective GB, BPD, LAGB 415 O O O O
Panunzi et al. (2015)35 Meta-analysis SG, LAGB, GB 4,944 O N O
Wang et al. (2015)19 Meta-analysis SG, RYGB 1,753 O O O N O O
Ikramuddin et al. (2015)36 RCT RYGB 60 O N
Schauer et al. (2017)4 RCT GB, SG 134 N O N N N N N N
Park et al. (2016)37 Retrospective RYGB 134 O O O O LRM
Scopinaro et al. (2017)38 Retrospective BPD 135 O O
Praveen Raj et al. (2017)39 Retrospective RYGB, SG 53 N N O
Aron-Wisnewsky et al. (2017)17 Retrospective RYGB 213 O O O O Ad-DiaRem
Aminian et al. (2017)40 Retrospective RYGB, SG 659 O O O IMS score
Naitoh et al. (2018)41 Retrospective SG, GB 298 O O O
Huang et al. (2018)42 Meta-analysis SG, GBn 1,160 O O
Stallard et al. (2018)43 Retrospective RYGB, SG 98 O O N O
Pucci et al. (2018)44 Retrospective RYGB, SG 210 O O O DiaBetter
Madsen et al. (2019)18 Matched cohort RYGB 1,111 O O O O O O
Shen et al. (2019)45 Retrospective SG 128 O O O O

DoD, duration of diabetes; BMI, body mass index; HbA1c, glycosylated hemoglobin; O, effect; N, neutral effect; Blank, not assessed/unclear; RYGB, Roux-en-Y gastric bypass; LAGB, Laparoscopic Adjustable Gastric Banding; GB, bypass surgery (unspecified); LRM, logistic regression model; AGB, adjustable gastric banding; VBG, vertical gastric banding; SG, sleeve gastrectomy; BPD, biliopancreatic diversion; Ad-DiaRem, advanced-DiaRem; IMS, individualized metabolic surgery; GBn, gastric bypass-non-specified.

DOD AS A PREDICTOR OF T2DM REMISSION AFTER SURGERY

Among the preoperative factors, the DoD is strongly correlated with postoperative T2DM remission. Recently, one of the scoring systems (advanced-DiaRem [Ad-DiaRem]) was considered an improved version of DiaRem due to its inclusion of DoD.17

A large population-based matched cohort study (n=1,111) by Madsen et al.18 with a median follow-up of 5.3 years found that patients with a DoD of fewer than 5 years were more likely to go into remission. Among patients with a DoD of greater than 5 years, the relative risk (RR) of not achieving remission as compared to patient with DoD of less than two years was 0.87 (95% confidence interval [CI], 0.79–0.97) for DoD of 5–8 years and 0.73 (95% CI, 0.62–0.86) for DoD ≥8 years.18 Similarly, a 2015 meta-analysis including 13 studies of 1,555 patients found there was a statistically significant association between DoD and postoperative T2DM remission.19 The analysis indicated patients with a more recent diagnosis of T2DM were more likely to achieve remission postoperatively (random model; odds ratio [OR], −5.22; 95 % CI, −7.39 to −3.42; P<0.01).19 A retrospective analysis of 154 patients with T2DM by Dixon et al.27 following Roux-en-Y gastric bypass (RYGB) surgery found the most important preoperative predictor of no remission to be a DoD ≥8 years (sensitivity of 78% and specificity of 90%; area under the curve, 0.84).

Interestingly, the predictive value of the DoD is not limited to bypass surgeries as some earlier studies had indicated.17,34,40,45 Initially, none of the predictive models of T2DM remission based on the DoD included sleeve gastrectomy (SG) patients.45 However, three more recent retrospective studies that included patients who underwent SG (Aminian et al.,40 Jiménez et al.,24 and most recently Shen et al.45) all showed the DoD to be a significant predictor of remission. Panunzi et al.34 analyzed data from patients recruited to the prospective SOS study and two RCTs. This analysis included 415 obese patients with diabetes who had undergone either restrictive (SG, gastric banding) or malabsorptive (gastric bypass) bariatric surgery. The results indicated the DoD was significantly correlated with outcome only after restrictive surgery. Patients with a DoD of up to 7.5 years went into remission following malabsorptive bariatric surgery.34 This finding was contradicted by results from two meta-analyses by Wang et al.19 and Huang et al.42 In the most recent of these, Huang et al.42 analyzed data from five RCTs, six prospective and six retrospective studies. The analysis identified 1,160 patients with T2DM who had undergone gastric bypass or SG surgery. The DoD was one of two preoperative predictive variables to have a significant independent effect on remission regardless of the type of surgery.42

The DoD is, therefore, a significant predictor of remission; however, there is ongoing controversy as to the cutoff point at which the DoD becomes an independent predictor of T2DM outcomes. This cutoff most likely lies somewhere between a DoD of 5 to 8 years, beyond which T2DM postoperative outcomes are significantly poorer.

AGE AS A PREDICTOR OF T2DM REMISSION AFTER SURGERY

Another point of debate is the predictive value of age in T2DM remission after bariatric surgery. This is demonstrable from some of the clinical predictive tools such as the ABCD, DiaRem, and Ad-DiaRem scores.17,25,30 There is strong evidence that older patients are less likely to achieve remission, but the potential association of younger age with outcome remains uncertain.

In a single-center retrospective analysis of 74 patients in 2011, Hamza et al.21 showed that the risk of postoperative remission was reduced by 20% with every 12-year increment in age. Madsen et al.18 also found that patients older than 50 years of age were unlikely to achieve remission postoperatively. Age was a strong predictor of not achieving remission among patients aged 50 to 60 years (RR, 0.88; 95% CI, 0.81–0.96) or ≥60 years (RR, 0.83; 95% CI, 0.72–0.97) as compared to those less than 40 years of age.18 In a prospective observational study (n=106), Bhasker et al.33 found that patients 60 years of age and older had poorer outcomes in terms of remission. Similar to the conclusions of most other studies, the researchers suggested age was a rather indirect marker of pancreatic β-cell reserve.17,33,39 In a historically significant yet relatively small retrospective study (n=63), Lee et al.25 proposed the ABCD predictive scoring model for clinical T2DM remission. The researchers found that beginning at age 40, increasing age negatively impacted postoperative remission.25 Three other retrospective cohort studies have reported similar unfavorable effect of increasing age on remission.29,43,45 A meta-analysis including a total of 1,149 patients with T2DM from 13 studies from North America, South America, Asia, Oceania, and Europe carried out by Wang et al.19 showed that even when stratified by ethnicity, preoperative age had a significant negative correlation with T2DM remission (random model; OR, −2.46; 95% CI, −3.90 to −1.02; P<0.01).

In contrast, analyses of data from the Surgical Treatment and Medications Potentially Eradicate Diabetes Efficiently (STAMPEDE) and SOS clinical trials initially designed to compare the effectiveness of bariatric surgery to intensive medical therapy in the management of T2DM, found age to have a neutral effect on remission.4,23 It is important to note that the SOS trial was a matched rather than a randomized trial, with diagnoses of T2DM based on fasting glucose concentrations and self-reported used of anti-diabetes medications. It is also worth noting that compared to the above clinical trials that found a neutral effect of age on T2DM remission after surgery, the cohorts of patients in the retrospective studies were slightly older (18 to 67 years of age in Lee et al.25).

Some researchers have suggested that there is a strong link between age and the DoD. In an attempt to improve the predictive value of the DiaRem score proposed by Still et al.30 with age as a direct predictor of remission, Aron-Wisnewsky et al.17 proposed the Ad-DiaRem score based on the results of a retrospective study involving 213 RYGB patients. They concluded older patients tend to have a longer DoD and poorer residual pancreatic function. Consequently, deploying age as an integral parameter of a scoring tool may prove to be punitive.17 It can, therefore, be concluded that age is irrelevant in younger patients (under 40 years of age), but can act as a rather indirect predictor in older patients, given older patients tend to have a longer DoD and invariably poorer residual pancreatic function.

C-PEPTIDE AS A PREDICTOR OF T2DM REMISSION AFTER BARIATRIC SURGERY

Another area of focus is the role of fasting and random preoperative plasma C-peptide concentrations in predicting T2DM remission following metabolic surgery. Unfortunately, fewer studies have included data on C-peptide concentrations, as C-peptide analyses are not usually available in routine clinical practice.40

In a retrospective analysis including 56 patients with T2DM, Aarts et al.28 found that preoperative fasting C-peptide concentrations >1.0 nmol/L were associated with a 90% chance of remission in contrast to no remission in patients with fasting C-peptide concentrations <1.0 nmol/L. In the analyses, some patients classified as being in remission continued to take antidiabetic medication.28 Dixon et al.27 found that 89% of patients who failed to go into remission had preoperative C-peptide concentrations <2.9 ng/mL. Another retrospective study including patients who had undergone RYGB surgery (n=134) reported similar results, with a baseline C-peptide concentrations >2.6 ng/mL considered the cutoff for diabetes remission. The investigators found baseline C-peptide concentration to be the most discriminatory preoperative variable in predicting remission.37

Different levels of C-peptide have been shown to achieve different rates of remission. High preoperative plasma C-peptide concentrations have been shown to be significantly correlated with T2DM remission in multiple retrospective and meta-analysis studies. In a prospective observational study involving 102 patients who had undergone RYGB surgery, Bhasker et al.33 showed that fasting C-peptide concentrations ≥3 nmol/L were significantly associated with remission. Remission was reported in 85% of patients with ≥3 nmol/L C-peptide and 90% of patients with >6 nmol/L achieved remission.33 In addition, C-peptide concentrations of 6 ng/mL were also associated up to 90.3% chance of remission according to Lee et al.25 All the aforementioned studies involved patients who underwent bypass surgery; however, in a retrospective study (n=141) including both RYGB and SG patients, Ramos-Levi et al.29 found that high preoperative C-peptide concentrations were significantly correlated with T2DM remission (R2, 0.249; OR, 1.652; 95% CI, 1.181–2.309; P=0.003).29 In a meta-analysis carried out by Wang et al.,19 fasting C-peptide data was obtained for 149 patients with T2DM from two studies. Their analyses showed a significant association between remission and baseline C-peptide concentrations.

In contrast, our literature search identified only one relatively small retrospective study (SG, 35 patients; bypass surgery, 18 patients) completed by Praveen Raj et al.39 that yielded a contradictory conclusion regarding C-peptide. We therefore conclude that fasting C-peptide concentrations have high independent predictive power with regard to bariatric surgery outcomes. The only controversy arising from the current literature is with regard to the C-peptide cutoff concentration at which bariatric surgery with T2DM remission as the main objective can be deemed futile.

BASELINE BMI AS A PREDICTOR OF T2DM REMISSION AFTER BARIATRIC SURGERY

Baseline BMI as a predictive factor of T2DM remission after bariatric surgery has been assessed in multiple studies. The reported findings results are inconsistent, with the various studies suggesting neutral, negative or positive effects of baseline BMI on T2DM remission. Seven out of eight retrospective studies found in the literature search suggested higher baseline BMIs predicted better T2DM outcomes after bariatric surgery. The first study to highlight this was Lee et al.,25 who reported superior remission rates in patients with higher baseline BMIs. This finding was supported by Dixon et al.,27 Hayes et al.,22 Bhasker et al.,33 and Scopinaro et al.38 In Dixon et al.’s study,27 a higher BMI (>35 kg/m2) was an independent predictor of remission (B=20.035; 95% CI, 20.056–20.016; P=0.001). The findings in the above studies were directly contradicted by Robert et al.,31 who in a similar analysis that included a smaller number of patients (n=46) who had undergone either LAGB, RYGB, or SG, found patients with BMI <35 kg/m2 had greater remission rates.

Six other studies, including two RCTs,4,36 two meta-analyses,19,35 and two retrospective studies, reported baseline BMI to have a neutral effect on T2DM outcomes. Panunzi et al.34,35 carried out two important studies, the first being a meta-analysis specifically designed to assess the role of baseline BMI in T2DM remission following bariatric surgery. This analysis included the largest number of patients with T2DM (n=4,944), and found similar rates of remission among patients with BMI ≥35 kg/m2 and those with BMI <35 kg/m2 (71% and 72%, respectively). The researchers concluded preoperative BMI was unrelated to T2DM remission.35 This finding is supported by results from two relatively small RCTs by Ikramuddin et al.36 and Schauer et al.4 In a subsequent study, Panunzi et al.34 analyzed prospective data from the Swedish SOS trial and two RCTs to better understand the role of BMI. The researchers stratified the patients’ degree of obesity as follows: BMI <35 kg/m2, BMI ≥35 to ≤40 kg/m2, and BMI >40 kg/m2. Interestingly, they found BMI ≥44 kg/m2 to be an independent predictor of T2DM remission regardless of the bariatric surgical procedure performed. The calculated odds ratio for remission using BMI <35 kg/m2 as the reference value was 2.9 (95% CI, 1.43–5.80) for patients with BMI >40 kg/m2 (P=0.003). The findings indicated class I and II obesity assessed by BMI played no significant role in predicting T2DM remission following bariatric surgery.34 In other meta-analyses, Wang et al.19 found baseline BMI to only play a predictive role in Asian subjects, whilst Huang et al.42 suggested its predictive role was only relevant in patients who had undergone SG. It is important to note that in the Huang et al.’s study,42 the P-value for the correlation of BMI with outcomes after SG surgery was close to the critical point (P=0.048). Baseline BMI was also found to be an unreliable predictor of T2DM outcome by Carlsson et al.23 in a prospective cohort study of data from the SOS trial. They reviewed 1,658 patients who underwent RYGB and gastric banding. Three other retrospective studies also reported a neutral effect of baseline BMI on postoperative T2DM remission;28,29,39 however, these studies included relatively small numbers of patients or lacked a comparable number of patients with extreme BMIs.

BASELINE HbA1c AS A PREDICTOR OF T2DM REMISSION AFTER BARIATRIC SURGERY

Preoperative HbA1c is a frequently reported to be significantly correlated with T2DM remission. Elevated HbA1c concentrations are an indication of poorer glycemic control and act as a marker of the severity of T2DM and/or reflect suboptimal medical treatment. Evidence shows patients with greater elevations in baseline HbA1c have a poorer DM outcome; however, this use of this variable as an independent predictor of remission remains controversial.

Twelve retrospective studies identified in the literature search reported lower baseline HbA1c to be associated with higher remission rates.17,26,28-32,39-41,44,45 Among these, Robert et al.31 found this association to be significant irrespective of the type of surgery. In two prospective studies by Hayes et al.22 and Jiménez et al.24 in which the outcomes of 127 gastric bypass and 153 SG patients were reviewed, respectively, preoperative HbA1c was a significant predictor of remission. Interestingly, some studies that took into account more specific markers of T2DM severity could not validate HbA1c as an independent predictor of remission.27,33,45 These findings are supported by the fact that only one predictive model includes both HbA1c and C-peptide.37 Furthermore, the RCT completed by Ikramuddin et al.36 that included 60 T2DM RYGB patients, the only statistically significant univariate predictor of T2DM was the baseline C-peptide concentration, and not HbA1c. The other RCT we identified reported the baseline HbA1c concentration to be unrelated to remission.4 These studies indicate a lower preoperative HbA1c is associated with postoperative remission, but the role of HbA1c as an independent predictor of remission is limited.

PREOPERATIVE INSULIN THERAPY AS A PREDICTOR OF T2DM REMISSION AFTER BARIATRIC SURGERY

Preoperative use of insulin is the second most reported predictor of poorer outcomes after bariatric surgery. An early aberration to its function as a predictor worth noting is insulin usage is based on local guidelines. This is illustrated in 23.3% usage rates in the UK compared to 8.1% in the United States.46 The literature search identified seven retrospective studies involving both bypass and SG patients for which insulin use was correlated with poorer T2DM outcomes. In one of these, Naitoh et al.41 (SG, 101 patients; laparoscopic sleeve gastrectomy with duodenojejunal bypass, 52 patients) found the lack of insulin use to be a significant independent predictor of better postoperative remission (OR, 4.247; 95% CI, 1.797–10.034). The authors41 suggested that patients on insulin should be offered malabsorptive rather than SG surgery to increase their likelihood of remission. The role of preoperative insulin use as a predictor of T2DM outcomes in cohorts of SG patients was also significant in the Jiménez et al.’s24 and Shen et al.’s45 studies. In a prospective analysis of data from two RCTs and the SOS trial (n=415), Panunzi et al.34 reported insulin use as an independent predictor of remission only in purely restrictive procedures such as SG.

Among all meta-analyses identified in the literature search, only Wang et al.19 analyzed the role of preoperative insulin use. They identified 1,350 patients with T2DM from 10 studies who had been using insulin when they had undergone either restrictive or malabsorptive surgery. Their analyses showed a significant association between insulin use and T2DM remission (random model; OR, 0.15; 95% CI, 0.11–0.20; P<0.01) irrespective of surgical type.19 The literature search also identified nine studies (prospective, n=2; retrospective, n=7) involving patients who had undergone bypass surgery.17,20,22,26-28,30,38,43 All of these studies reported insulin use to be significantly correlated with poorer T2DM outcomes. None of the studies suggested insulin was an independent predictor of remission. As highlighted above, patients using insulin are likely to have a longer DoD and lower plasma C-peptide concentrations, and global insulin use is not consistent.47 The findings of the Chong et al.’s study47 that included 30% Taiwanese and 60% American patients who were using insulin preoperatively support the above position, and showed insulin use was unrelated to remission. More robust studies assessing the influence of regional variation in preoperative insulin use and of obesity class on the outcomes of bariatric surgery are therefore warranted.

GENDER AS A PREDICTOR OF T2DM REMISSION AFTER BARIATRIC SURGERY

There is limited evidence to support the role of gender as a preoperative predictor of T2DM remission after bariatric surgery. Few studies have found female gender to be a significant predictor of a better outcome. In a multivariate analysis, Hamza et al.21 found male patients were 17 times less likely to achieve additional percent excess weight loss (%EWL) postoperatively compared to females. They found being female to be an independent predictor of %EWL and %EWL to be an independent predictor of DM remission. In a relatively recent National Health Service-based retrospective analysis of 210 bariatric patients who had undergone RYGB or SG surgery, Pucci et al.44 found that regardless of surgery type, the female gender was associated with higher remission at 2 years postoperatively. The above findings were contradicted by Ramos-Levi et al.29 and Arterburn et al.26 in two retrospectives analyses. Ramos-Levi et al.29 found female gender had a negative influence on remission as it remained a significant predictor of poorer outcome in three out of four models in the multivariate analyses. In the largest retrospective analysis identified by the literature search (4,434 patients with T2DM), Arterburn et al.26 found all multivariable-adjusted models showed women were significantly less likely to achieve remission than men (hazard ratio, 0.81; 95% CI, 0.74–0.90). Chikunguwo et al.20 also showed that DM remission was significantly more durable in males (80%) than in females (52.3%, P=0.0144). However, the majority of studies, including RCTs, have found gender to have a neutral effect on remission.4,23 Of note, in a meta-analysis of seven 1,113 patients with T2DM, Wang et al.19 found gender to have no significant influence on remission outcome, and none of the current preoperative scoring models include gender as a marker of outcome.

ETHNICITY AS A PREDICTOR OF T2DM REMISSION AFTER BARIATRIC SURGERY

A limited number of studies have addressed the effect of ethnicity on T2DM remission after bariatric surgery. The obvious difficulty for most of the retrospective regional studies is the attainment of a sufficiently ethnically diverse cohort for the analysis of race to be statistically robust.26 Most studies attempting to assess race as a preoperative predictor of outcome have shown race is unrelated to DM remission. A meta-analysis by Admiraal et al.48 specifically designed to assess the role of ethnicity in DM outcomes among Caucasian and African Americans following bariatric surgery identified 14 studies, with only three reporting data for DM remission. From these studies, analyses of pooled data including 195 African American and 342 Caucasian participants showed DM remission was slightly more frequent in African Americans (1.41; 95% CI, 0.56–3.52), but this difference was not statistically significant.48 In a retrospective analysis of 245 patients following RYGB surgery, English et al.32 found patients who did and did not achieve remission to be 79% and 88% Caucasian, respectively. The investigators found race was unrelated to remission (P=0.067). The evidence to support racial differences in response to bariatric surgery is relatively sparse. An example of note is the RCT involving Taiwanese and American subjects. The researchers concluded that there were slight ethnic differences in T2DM response post-RYGB and attributed the insignificant results (P=0.08) to the small number of patients included. However, 100% of the Taiwanese patients were reported to be Asian and there were significant national differences in the baseline characteristics, such as BMI (31.9±1.7 vs. USA, 32.9±1.5 kg/m2; P=0.016), duration of insulin use (6.1±3.6 vs. USA, 10.4±6.5 years; P=0.0006), age (45.7±7.9 vs. USA, 50.7±8.9 years; P=0.014), to name a few.46 We therefore concluded that race is very unlikely to play an important role in predicting T2DM remission.

EMERGING LITERATURE

There is also emerging evidence that the preoperative inflammatory profile of a patient might have a significant influence on postoperative outcomes after bariatric surgery. In the Surgical Treatment and Medications Potentially Eradicate Diabetes Efficiently (STAMPEDE) trial, preoperative C-reactive protein (CRP) was analyzed as a predictor of remission: CRP is an annular, pentameric protein produced by the liver in response to inflammation. The study reported preoperative high-sensitivity CRP was 4.3 mg/L and dropped by 84% to 0.6 mg/L at 12 months postoperatively; however, this change was not significantly correlated with remission.4 More recent studies, which have generally included small numbers of patients and had retrospective designs, have analyzed CRP and other markers of inflammation, such as the baseline neutrophil-to-lymphocyte ratio, and found these to be significant predictors of remission. Larger well-designed studies are needed to validate these findings.

CONCLUSION

The current evidence as summarized above indicates preoperative variables that reflect β-cell function and its surrogates, namely the DoD and plasma C-peptide concentration, are the most significant independent predictors of T2DM remission. There was a trend in most studies for lack of insulin use and lower baseline HbA1c to indicate a significantly greater probability of remission. These two variables are best described as indirect predictors of residual β-cell function and consequently of remission. The evidence also suggests surrogates of the severity of obesity, such as BMI and age at surgery, have a predictive value above specific cutoff values. The cutoff for age likely lies somewhere between 40 and 50 years, above which point age becomes a significant predictor of poorer T2DM outcome. Patients with BMI values between 40 to 50 kg/m2 have a higher probability of achieving remission postoperatively. The role of gender remains controversial, while only a limited number of studies have considered race.

An obvious gap in the literature is the lack of data on the relationship between preoperative interventions and T2DM remission. The only preoperative intervention discussed above is the optimization of HbA1c prior to surgery. There are limited data addressing the effects of preoperative weight loss as a dependent (by reducing baseline HbA1c) or independent predictor of remission.

There is also very limited evidence of the effects of a preoperative psychiatric diagnosis on T2DM remission. Madsen et al.18 found a preoperative history of depression was unrelated to T2DM remission. However, in most large studies, data and analysis of the effect of psychiatric diagnosis on remission remain relatively scarce.

ACKNOWLEDGMENTS

We thank the Bariatric Surgery Department at the University Hospital, Ayr, Scotland, UK for their assistance.

Footnotes

CONFLICTS OF INTEREST

The authors declare no conflict of interest.

AUTHOR CONTRIBUTIONS

Study concept and design: JF and AA; acquisition of data: JF; analysis and interpretation of data: JF and UC; drafting of the manuscript: JF; critical revision of the manuscript: JR, UC, AB, and AA; statistical analysis: AB; administrative, technical, or material support: JR and AB; and study supervision: AA.

REFERENCES

  • 1.World Health Organization, author. Obesity and overweight [Internet] World Health Organization; Geneva: 2020. [cited 2020 May 2]. Available from: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight . [Google Scholar]
  • 2.Lean ME, Leslie WS, Barnes AC, Brosnahan N, Thom G, McCombie L, et al. Primary care-led weight management for remission of type 2 diabetes (DiRECT): an open-label, cluster-randomised trial. Lancet. 2018;391:541–51. doi: 10.1016/S0140-6736(17)33102-1. [DOI] [PubMed] [Google Scholar]
  • 3.Li G, Zhang P, Wang J, Gregg EW, Yang W, Gong Q, et al. The long-term effect of lifestyle interventions to prevent diabetes in the China Da Qing Diabetes Prevention Study: a 20-year follow-up study. Lancet. 2008;371:1783–9. doi: 10.1016/S0140-6736(08)60766-7. [DOI] [PubMed] [Google Scholar]
  • 4.Schauer PR, Bhatt DL, Kirwan JP, Wolski K, Aminian A, Brethauer SA, et al. Bariatric surgery versus intensive medical therapy for diabetes: 5-year outcomes. N Engl J Med. 2017;376:641–51. doi: 10.1056/NEJMoa1600869. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Sjöström L, Peltonen M, Jacobson P, Ahlin S, Andersson-Assarsson J, Anveden Å, et al. Association of bariatric surgery with long-term remission of type 2 diabetes and with microvascular and macrovascular complications. JAMA. 2014;311:2297–304. doi: 10.1001/jama.2014.5988. [DOI] [PubMed] [Google Scholar]
  • 6.Pories WJ, MacDonald KG, Jr, Morgan EJ, Sinha MK, Dohm GL, Swanson MS, et al. Surgical treatment of obesity and its effect on diabetes: 10-y follow-up. Am J Clin Nutr. 1992;55(2 Suppl):582S–585S. doi: 10.1093/ajcn/55.2.582s. [DOI] [PubMed] [Google Scholar]
  • 7.Tsilingiris D, Koliaki C, Kokkinos A. Remission of type 2 diabetes mellitus after bariatric surgery: fact or fiction? Int J Environ Res Public Health. 2019;16:3171. doi: 10.3390/ijerph16173171. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Pories WJ, Swanson MS, MacDonald KG, Long SB, Morris PG, Brown BM, et al. Who would have thought it? An operation proves to be the most effective therapy for adult-onset diabetes mellitus. Ann Surg. 1995;222:339–50. doi: 10.1097/00000658-199509000-00011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Dixon JB, O'Brien PE, Playfair J, Chapman L, Schachter LM, Skinner S, et al. Adjustable gastric banding and conventional therapy for type 2 diabetes: a randomized controlled trial. JAMA. 2008;299:316–23. doi: 10.1001/jama.299.3.316. [DOI] [PubMed] [Google Scholar]
  • 10.Wittgrove AC, Clark GW. Laparoscopic gastric bypass, Roux-en-Y- 500 patients: technique and results, with 3-60 month follow-up. Obes Surg. 2000;10:233–9. doi: 10.1381/096089200321643511. [DOI] [PubMed] [Google Scholar]
  • 11.Dixon JB, O'Brien PE. Health outcomes of severely obese type 2 diabetic subjects 1 year after laparoscopic adjustable gastric banding. Diabetes Care. 2002;25:358–63. doi: 10.2337/diacare.25.2.358. [DOI] [PubMed] [Google Scholar]
  • 12.Schauer PR, Burguera B, Ikramuddin S, Cottam D, Gourash W, Hamad G, et al. Effect of laparoscopic Roux-en Y gastric bypass on type 2 diabetes mellitus. Ann Surg. 2003;238:467–84. doi: 10.1097/01.sla.0000089851.41115.1b. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Scopinaro N, Marinari GM, Camerini GB, Papadia FS, Adami GF. Specific effects of biliopancreatic diversion on the major components of metabolic syndrome: a long-term follow-up study. Diabetes Care. 2005;28:2406–11. doi: 10.2337/diacare.28.10.2406. [DOI] [PubMed] [Google Scholar]
  • 14.Sugerman HJ, Wolfe LG, Sica DA, Clore JN. Diabetes and hypertension in severe obesity and effects of gastric bypass-induced weight loss. Ann Surg. 2003;237:751–6. doi: 10.1097/01.SLA.0000071560.76194.11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Sjöström L, Narbro K, Sjöström CD, Karason K, Larsson B, Wedel H, et al. Effects of bariatric surgery on mortality in Swedish obese subjects. N Engl J Med. 2007;357:741–52. doi: 10.1056/NEJMoa066254. [DOI] [PubMed] [Google Scholar]
  • 16.Buse JB, Caprio S, Cefalu WT, Ceriello A, Del Prato S, Inzucchi SE, et al. How do we define cure of diabetes? Diabetes Care. 2009;32:2133–5. doi: 10.2337/dc09-9036. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Aron-Wisnewsky J, Sokolovska N, Liu Y, Comaneshter DS, Vinker S, Pecht T, et al. The advanced-DiaRem score improves prediction of diabetes remission 1 year post-Roux-en-Y gastric bypass. Diabetologia. 2017;60:1892–902. doi: 10.1007/s00125-017-4371-7. [DOI] [PubMed] [Google Scholar]
  • 18.Madsen LR, Baggesen LM, Richelsen B, Thomsen RW. Effect of Roux-en-Y gastric bypass surgery on diabetes remission and complications in individuals with type 2 diabetes: a Danish population-based matched cohort study. Diabetologia. 2019;62:611–20. doi: 10.1007/s00125-019-4816-2. [DOI] [PubMed] [Google Scholar]
  • 19.Wang GF, Yan YX, Xu N, Yin D, Hui Y, Zhang JP, et al. Predictive factors of type 2 diabetes mellitus remission following bariatric surgery: a meta-analysis. Obes Surg. 2015;25:199–208. doi: 10.1007/s11695-014-1391-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Chikunguwo SM, Wolfe LG, Dodson P, Meador JG, Baugh N, Clore JN, et al. Analysis of factors associated with durable remission of diabetes after Roux-en-Y gastric bypass. Surg Obes Relat Dis. 2010;6:254–9. doi: 10.1016/j.soard.2009.11.003. [DOI] [PubMed] [Google Scholar]
  • 21.Hamza N, Abbas MH, Darwish A, Shafeek Z, New J, Ammori BJ. Predictors of remission of type 2 diabetes mellitus after laparoscopic gastric banding and bypass. Surg Obes Relat Dis. 2011;7:691–6. doi: 10.1016/j.soard.2010.03.292. [DOI] [PubMed] [Google Scholar]
  • 22.Hayes MT, Hunt LA, Foo J, Tychinskaya Y, Stubbs RS. A model for predicting the resolution of type 2 diabetes in severely obese subjects following Roux-en Y gastric bypass surgery. Obes Surg. 2011;21:910–6. doi: 10.1007/s11695-011-0370-9. [DOI] [PubMed] [Google Scholar]
  • 23.Carlsson LM, Peltonen M, Ahlin S, Anveden Å, Bouchard C, Carlsson B, et al. Bariatric surgery and prevention of type 2 diabetes in Swedish obese subjects. N Engl J Med. 2012;367:695–704. doi: 10.1056/NEJMoa1112082. [DOI] [PubMed] [Google Scholar]
  • 24.Jiménez A, Casamitjana R, Flores L, Viaplana J, Corcelles R, Lacy A, et al. Long-term effects of sleeve gastrectomy and Roux-en-Y gastric bypass surgery on type 2 diabetes mellitus in morbidly obese subjects. Ann Surg. 2012;256:1023–9. doi: 10.1097/SLA.0b013e318262ee6b. [DOI] [PubMed] [Google Scholar]
  • 25.Lee WJ, Hur KY, Lakadawala M, Kasama K, Wong SK, Chen S-C, et al. Predicting success of metabolic surgery: age, body mass index, C-peptide, and duration score. Surg Obes Relat Dis. 2013;9:379–84. doi: 10.1016/j.soard.2012.07.015. [DOI] [PubMed] [Google Scholar]
  • 26.Arterburn D, Bogart A, Coleman KJ, Haneuse S, Selby JV, Sherwood NE, et al. Comparative effectiveness of bariatric surgery vs. nonsurgical treatment of type 2 diabetes among severely obese adults. Obes Res Clin Pract. 2013;7:e258–68. doi: 10.1016/j.orcp.2012.08.196. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Dixon JB, Chuang LM, Chong K, Chen SC, Lambert GW, Straznicky NE, et al. Predicting the glycemic response to gastric bypass surgery in patients with type 2 diabetes. Diabetes Care. 2013;36:20–6. doi: 10.2337/dc12-0779. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Aarts EO, Janssen J, Janssen IM, Berends FJ, Telting D, de Boer H. Preoperative fasting plasma C-peptide level may help to predict diabetes outcome after gastric bypass surgery. Obes Surg. 2013;23:867–73. doi: 10.1007/s11695-013-0872-8. [DOI] [PubMed] [Google Scholar]
  • 29.Ramos-Levi AM, Matia P, Cabrerizo L, Barabash A, Sanchez-Pernaute A, Calle-Pascual AL, et al. Statistical models to predict type 2 diabetes remission after bariatric surgery. J Diabetes. 2014;6:472–7. doi: 10.1111/1753-0407.12127. [DOI] [PubMed] [Google Scholar]
  • 30.Still CD, Wood GC, Benotti P, Petrick AT, Gabrielsen J, Strodel WE, et al. Preoperative prediction of type 2 diabetes remission after Roux-en-Y gastric bypass surgery: a retrospective cohort study. Lancet Diabetes Endocrinol. 2014;2:38–45. doi: 10.1016/S2213-8587(13)70070-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Robert M, Ferrand-Gaillard C, Disse E, Espalieu P, Simon C, Laville M, et al. Predictive factors of type 2 diabetes remission 1 year after bariatric surgery: impact of surgical techniques. Obes Surg. 2013;23:770–5. doi: 10.1007/s11695-013-0868-4. [DOI] [PubMed] [Google Scholar]
  • 32.English TM, Malkani S, Kinney RL, Omer A, Dziewietin MB, Perugini R. Predicting remission of diabetes after RYGB surgery following intensive management to optimize preoperative glucose control. Obes Surg. 2015;25:1–6. doi: 10.1007/s11695-014-1339-2. [DOI] [PubMed] [Google Scholar]
  • 33.Bhasker AG, Remedios C, Batra P, Sood A, Shaikh S, Lakdawala M. Predictors of remission of T2DM and metabolic effects after laparoscopic Roux-en-y gastric bypass in obese Indian diabetics-a 5-year study. Obes Surg. 2015;25:1191–7. doi: 10.1007/s11695-014-1501-x. [DOI] [PubMed] [Google Scholar]
  • 34.Panunzi S, Carlsson L, De Gaetano A, Peltonen M, Rice T, Sjöström L, et al. Determinants of diabetes remission and glycemic control after bariatric surgery. Diabetes Care. 2016;39:166–74. doi: 10.2337/dc15-0575. [DOI] [PubMed] [Google Scholar]
  • 35.Panunzi S, De Gaetano A, Carnicelli A, Mingrone G. Predictors of remission of diabetes mellitus in severely obese individuals undergoing bariatric surgery: do BMI or procedure choice matter? A meta-analysis. Ann Surg. 2015;261:459–67. doi: 10.1097/SLA.0000000000000863. [DOI] [PubMed] [Google Scholar]
  • 36.Ikramuddin S, Billington CJ, Lee WJ, Bantle JP, Thomas AJ, Connett JE, et al. Roux-en-Y gastric bypass for diabetes (the Diabetes Surgery Study): 2-year outcomes of a 5-year, randomised, controlled trial. Lancet Diabetes Endocrinol. 2015;3:413–22. doi: 10.1016/S2213-8587(15)00089-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Park JY, Kim YJ. Prediction of diabetes remission in morbidly obese patients after Roux-en-Y gastric bypass. Obes Surg. 2016;26:749–56. doi: 10.1007/s11695-015-1823-3. [DOI] [PubMed] [Google Scholar]
  • 38.Scopinaro N, Adami GF, Bruzzi P, Cordera R. Prediction of diabetes remission at long term following biliopancreatic diversion. Obes Surg. 2017;27:1705–8. doi: 10.1007/s11695-017-2555-3. [DOI] [PubMed] [Google Scholar]
  • 39.Praveen Raj P, Bhattacharya S, Kumar SS, Sabnis SC, Parthasarathi R, Swamy PD, et al. Do bariatric surgery-related type 2 diabetes remission predictors add clinical value? a study on Asian Indian obese diabetics. Obes Surg. 2017;27:2113–9. doi: 10.1007/s11695-017-2615-8. [DOI] [PubMed] [Google Scholar]
  • 40.Aminian A, Brethauer SA, Andalib A, Nowacki AS, Jimenez A, Corcelles R, et al. Individualized metabolic surgery score: procedure selection based on diabetes severity. Ann Surg. 2017;266:650–7. doi: 10.1097/SLA.0000000000002407. [DOI] [PubMed] [Google Scholar]
  • 41.Naitoh T, Kasama K, Seki Y, Ohta M, Oshiro T, Sasaki A, et al. Efficacy of sleeve gastrectomy with duodenal-jejunal bypass for the treatment of obese severe diabetes patients in Japan: a retrospective multicenter study. Obes Surg. 2018;28:497–505. doi: 10.1007/s11695-017-2874-4. [DOI] [PubMed] [Google Scholar]
  • 42.Huang X, Liu T, Zhong M, Cheng Y, Hu S, Liu S. Predictors of glycemic control after sleeve gastrectomy versus Roux-en-Y gastric bypass: a meta-analysis, meta-regression, and systematic review. Surg Obes Relat Dis. 2018;14:1822–31. doi: 10.1016/j.soard.2018.08.027. [DOI] [PubMed] [Google Scholar]
  • 43.Stallard R, Sahai V, Drover JW, Chun S, Keresztes C. Defining and using preoperative predictors of diabetic remission following bariatric surgery. JPEN J Parenter Enteral Nutr. 2018;42:573–80. doi: 10.1177/0148607117697934. [DOI] [PubMed] [Google Scholar]
  • 44.Pucci A, Tymoszuk U, Cheung WH, Makaronidis JM, Scholes S, Tharakan G, et al. Type 2 diabetes remission 2 years post Roux-en-Y gastric bypass and sleeve gastrectomy: the role of the weight loss and comparison of DiaRem and DiaBetter scores. Diabet Med. 2018;35:360–7. doi: 10.1111/dme.13532. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Shen SC, Wang W, Tam KW, Chen HA, Lin YK, Wang SY, et al. Validating risk prediction models of diabetes remission after sleeve gastrectomy. Obes Surg. 2019;29:221–9. doi: 10.1007/s11695-018-3510-7. [DOI] [PubMed] [Google Scholar]
  • 46.Sharma M, Nazareth I, Petersen I. Trends in incidence, prevalence and prescribing in type 2 diabetes mellitus between 2000 and 2013 in primary care: a retrospective cohort study. BMJ Open. 2016;6:e010210. doi: 10.1136/bmjopen-2015-010210. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Chong K, Ikramuddin S, Lee WJ, Billington CJ, Bantle JP, Wang Q, et al. National differences in remission of type 2 diabetes mellitus after Roux-en-Y gastric bypass surgery-subgroup analysis of 2-year results of the diabetes surgery study comparing Taiwanese with Americans with mild obesity (BMI 30-35 kg/m2) Obes Surg. 2017;27:1189–95. doi: 10.1007/s11695-016-2433-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Admiraal WM, Celik F, Gerdes VE, Dallal RM, Hoekstra JB, Holleman F. Ethnic differences in weight loss and diabetes remission after bariatric surgery: a meta-analysis. Diabetes Care. 2012;35:1951–8. doi: 10.2337/dc12-0260. [DOI] [PMC free article] [PubMed] [Google Scholar]

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