Skip to main content

Predictors for successful weight reduction during treatment with Dapagliflozin among patients with type 2 diabetes mellitus in primary care

Abstract

Aims

Studies on factors affecting weight loss effect after start of dapagliflozin in type 2 diabetes mellitus (T2DM) patients are few. The aim of this study was to identify if there were any patient characteristics that could predict weight loss after starting treatment with dapagliflozin.

Methods

The study included 200 Korean patients with T2DM who were prescribed dapagliflozin in a family medicine clinic during 2014–2019. We studied patients for 1 year after starting dapagliflozin treatment. Data were collected from medical records. Clinically meaningful weight reduction was defined as ≥3% decrease in body weight and odds ratios (ORs) and 95% confidence intervals (CIs) for succeeding this weight reduction was calculated for different baseline characteristics.

Results

In total, 113 (56.5%) patients were male. Weight loss of ≥3% in 1 year treatment with dapagliflozin was achieved in 122 (61%) patients. The likelihood of this level of weight loss was significantly increased with regular exercise (OR 2.13, 95% CI 1.07–4.25), with concomitant metformin treatment (OR 2.90, 95% CI 1.23–6.80), and in patients with normal renal function (OR 13.84, 95% CI 1.33–144.26). Patients receiving sulfonylurea treatment were less likely to achieve ≥3% weight reduction (OR 0.39, 95 CI 0.19–0.79).

Conclusions

T2DM patients that performed regular exercise, had normal renal function and were receiving metformin were more likely to have clinically meaningful body weight reduction after one year treatment with dapagliflozin.

Peer Review reports

Background

Type 2 diabetes mellitus (T2DM) is one of the most common chronic diseases. Its prevalence is expected to increase to up to 439 million by 2030 [1]. It has been reported that ≥80% of T2DM patients live in developing countries, with ≥60% living in Asia; 13.7% (4.8 million) of South Korean adults aged ≥30 years had T2DM in 2014 [2, 3]. T2DM is strongly associated with an increased risk of cardiovascular diseases (CVDs), renal failure, blindness, and mortality [4]. Thus, the worldwide socioeconomic burden of T2DM is substantial. Age ≥ 40 years, and a family history of diabetes, vascular disease, hypertension, or dyslipidemia are recognized risk factors of T2DM.

Weight loss by lifestyle changes is the first-line therapy for T2DM because of the expected improvement in glycemic control and other associated risk factors [5]. T2DM patients who have lost weight are more likely to achieve the target glycated hemoglobin (HbA1c) values than those who maintained or gained weight [6]. The results of a meta-analysis on the effect of weight loss on lifestyle modifications in obese T2DM patients revealed that a weight loss of > 5% significantly improved their fasting blood glucose, lipid levels, and blood pressure (BP) [7]. A weight loss of 3% is effective in improving blood pressure, fasting blood glucose, and cholesterol [8]. The microvascular complications of T2DM include retinopathy, nephropathy, and peripheral and autonomic neuropathy. The risk of developing these complications is associated not only with the duration of DM, blood glucose control, and BP, but also with obesity [9, 10].

There are many pharmacotherapeutic options available for controlling glycemia in patients with T2DM. Sodium glucose co-transporter 2 (SGLT2) inhibitors are oral glucose-lowering drugs associated with weight reduction [11]. Therefore, they are a useful option for overweight T2DM patients. Dapagliflozin was one of the first SGLT2 inhibitors introduced in Korea.

However, studies on the effects of dapagliflozin on weight loss in T2DM patients in primary care settings are still few. In addition, there is a lack of studies on primary care patients who may benefit more from dapagliflozin treatment in terms of its weight loss effects. Thus, this study aimed to investigate to find predictors for ≥3% weight loss during treatment with dapagliflozin among Korean patients with T2DM seeking primary care treatment in Korea.

Methods

Data source and study population

A total of 433 Korean adults who were prescribed dapagliflozin at the Department of Family Medicine in Asan Medical Center between January 1, 2014, and April 30, 2019, were enrolled in the study. The exclusion criteria were as follows: patients with missing data (n = 72), those admitted to other departments such as internal medicine (n = 65), and those whose duration of treatment with dapagliflozin was < 1 year (n = 96). Finally, 200 participants (113 men and 87 women) were included in the study.

This study adhered to the principles of the Declaration of Helsinki. The Institutional Review Board of Asan Medical Center approved our study [No. AMC-IRB 2020–0824]. The requirement for informed consent was waived by the Institutional Review Board of Asan Medical Center because of the retrospective nature of the study.

Covariates

Participants’ general characteristics, including sex, age, concomitant medications, comorbid diseases, lifestyle, vital signs, laboratory examinations, and anthropometry, were obtained from their medical records (Asan Biomedical Research Environment) and analyzed.

The patients’ age at initiation of dapagliflozin was annotated, and height was measured to the nearest 0.1 cm using a stadiometer (SECA 225, Hamburg, Germany). Body weight was measured to the nearest 0.1 kg using a balance scale (GL-6000-20, Cas, Yangju, Korea) with the participants wearing a lightweight gown or underwear. A significant weight loss was defined as ≥3% decrease in body weight after 1 year of dapagliflozin treatment. On the other hand, when the weight reduction was < 3%, we considered it as no change in body weight. An increase in body weight of > 3% was termed as weight gain. Body mass index (BMI) was calculated by dividing the patients’ weight (kg) by the square of their height (m). Next, we divided the participants into BMI quartile groups, and the cutoffs were 26.40, 27.88, and 30.11 kg/m2. Lifestyle-related factors such as alcohol consumption, smoking, and exercise habits were evaluated using a self-reported questionnaire, which was constructed by the authors. This was completed by the patients on their first visit. Using this questionnaire, the patients’ alcohol consumption was assessed. They were asked whether they drank alcohol, and the frequency of alcohol consumption per week, and the number of alcoholic drinks consumed per day were evaluated. Men who consumed ≥2 drinks per day and women who consumed ≥1 drink per day were referred to as heavy alcohol drinkers [12]. Patients were classified based on their smoking history as non-smokers or current smokers. Moreover, regular exercise was also included in the questionnaire. Regular exercise was defined as exercising ≥3 times per week. Information on pertinent medical history, such as hypertension, dyslipidemia, and cardiovascular diseases, based on the medication prescribed in Asan Medical Center was collected. In addition, information regarding the use of other antihyperglycemic agents, such as metformin and sulfonylurea (SU), was collected.

Blood samples were obtained after an overnight fast, and serum levels of glucose, HbA1c, and creatinine were measured. The estimated glomerular filtration rate (eGFR) was calculated using the following formula developed in the Modification of Diet in Renal Disease study: eGFR = 175 × serum creatinine− 1.154 × age− 0.203 (multiplied by 0.742 in women) [13]. Abnormal renal function was defined as eGFR < 60 mL/min/1.73 m2, and normal renal function was defined as eGFR ≥60 mL/min/1.73 m2.

Statistical analysis

Statistical analyses were conducted using SPSS v. 24.0 (IBM Corp., Armonk, NY, USA). Baseline characteristics of the study participants are presented as mean ± standard deviation for continuous variables and number (percentage) for categorical variables. The values were compared using analysis of variance for continuous variables and chi-squared test for categorical variables. A paired T-test was performed to confirm the change in body weight, BMI, and fasting glucose and HbA1c levels before and after the use of dapagliflozin. We conducted a multivariable logistic regression analysis and calculated the odds ratio (OR) and 95% confidence intervals (CIs), and multivariable logistic regression analysis was performed to evaluate the factors associated with a weight loss of ≥3%. Model 1 was unadjusted, and model 2 was adjusted for age, sex, alcohol consumption, smoking status, physical activity, hypertension, dyslipidemia, CVD, metformin, SU, and renal function. A p-value < 0.05 was considered statistically significant.

Results

Baseline characteristics

Table 1 shows the participants’ baseline characteristics. Among the 200 participants, 113 (56.5%) were men. The mean age was 60.9 years, mean BMI was 28.1 kg/m2 and the mean HbA1c and fasting blood glucose levels were 7.75% and 158.41 mg/dL respectively. Mean eGFR was 89.6 mL/min/1.73 m2. Females were slightly older or 63.3 years vs. 59.0 years for males and had higher fasting glucose level (154.1 vs 131.8 mg/dL). The proportion of current smokers, heavy drinkers, and patients who regularly exercised was 21.0, 32.5, and 33.5%, respectively; these proportions were higher in men than in women. The rates of hypertension, dyslipidemia, and CVD were 75.5, 91.5, and 3.5%, respectively, and there was no difference between men and women. The proportion of patients taking metformin and SU was 78.5 and 40.0%, respectively, and there was no difference between men and women.

Table 1 Demographic profile and baseline characteristics of the study participants

Mean change from baseline in body weight, BMI, and fasting blood glucose and HbA1c levels

Table 2 shows the mean change from baseline in body weight, BMI, fasting blood glucose and HbA1c levels. After 1 year of treatment with dapagliflozin, participants’ mean body weight decreased from 74.76 kg to 71.37 kg (p < 0.001), and BMI decreased from 27.95 to 27.02 kg/m2 (p < 0.001). Additionally, the mean fasting blood glucose and HbA1c levels decreased from 150.88 mg/dL and 7.33% to 136.93 mg/dL and 7.22%, respectively (p < 0.001). The reductions in body weight, BMI, and fasting blood glucose were statistically significant following the use of dapagliflozin in the total population as well as in the male and female subgroups. The reductions in HbA1c were not statistically significant in the male and female subgroups.

Table 2 Mean changes from baseline in body weight, BMI, fasting blood glucose, and HbA1c levels

Factors associated with weight loss after dapagliflozin use

Table 3 describes the population that achieved a weight loss of ≥3% after 1 year of dapagliflozin treatment. Sixty-one percent of the participants had weight reduction of ≥3%. This level of weight reduction was significantly more likely to happen in patients who exercised regularly or had normal kidney function.

Table 3 Factors associated with weight loss after dapagliflozin use

Table 4 shows the factors analyzed for association with weight loss of ≥3% after 1 year of dapagliflozin administration. The likelihood achieving this level of weight loss was significantly higher with regular exercises (OR: 2.16, 95% CI: 1.07–4.36 in model 2), in patients receiving metformin treatment (OR: 2.90, 95% CI: 1.23–6.80 in model 2), and in patients with normal renal (OR: 13.84, 95% CI: 1.33–144.26 in model 2). On the other hand, this was significantly less likely to happen in patients who took SU (OR: 0.39, 95% CI: 0.19–0.79 in model 2). Age, sex, BMI, alcohol consumption status, smoking status, hypertension, dyslipidemia, and CVD were not associated with weight loss after dapagliflozin use.

Table 4 A logistic regression analysis for predictors of ≥3% weight loss

Discussion

Our study showed that when starting dapagliflozin treatment, patients that exercised regularly, had normal kidney function or were treated with metformin were more likely to have a clinically meaningful weight reduction after start of dapagliflozin treatment. On the other hand, patients treated with sulfonylurea were less likely to do so. These results could help physicians choose the appropriate DM medication for these patients.

Obesity is an independent risk factor for hypertension and dyslipidemia, as well as CVD, which is the major cause of death in patients with T2DM. Weight loss is considered key in T2DM management because it leads to a potential reduction in blood glucose levels. In addition, weight loss can have an impact on other health problems commonly associated with T2DM, thereby reducing the need for medications, not only for hyperglycemia but also for hypertension and hyperlipidemia [14]. In a prospective analysis of 4970 overweight individuals with DM who underwent a 12-year follow-up, those with weight loss had a 25% reduction in total mortality and a 28% reduction in CVD- and diabetes mellitus-related mortality compared with individuals who reported no changes in weight [15]. Although the role of weight loss in reducing the potential risk of complications in T2DM is unclear, there is evidence of the beneficial effects of weight loss in reducing proteinuria in overweight and obese patients. In patients with non-diabetic renal disease with nephropathy, a weight loss of approximately 4% of the initial body weight is associated with a 31.2% ± 37% decrease of proteinuria from the baseline value [16]. Weight loss could improve the quality of life of T2DM patients and common comorbidities, such as obstructive sleep apnea and depression [17,18,19].

Many T2DM patients have problems of weight gain, secondary to intake of drugs such as SUs, insulin, glinides, and thiazolidinediones [20, 21]. Most of the other classes of antihyperglycemic agents are body-weight neutral, besides orally administered SGLT2 inhibitors, and subcutaneously administered GLP-1 receptor agonists and amylin agonists, which are associated with weight loss [21]. The administration of an SGLT2 inhibitor improves glycemic control and reduces body weight, fat mass, and adipose tissue volume [22,23,24]. Dapagliflozin, an SGLT2 inhibitor widely used in clinical practice, exerts its glucose-lowering effects by inhibiting the SGLT2 protein in the proximal tubule of the kidney, resulting in the excretion of glucose and extra calories into the urine [25]. In individuals with T2DM who received dapagliflozin doses between 2.5 and 20 mg, the 24-hr glucose excretion after 1 and 14 days ranged from 38 g to 77 g and from 42 g to 73 g, respectively [26]. The use of SGLT2 inhibitors alone has been known to reduce HbA1c by 0.5–1%. However, the participants in our study had decreased HbA1c by 0.11%, which is thought to be less effective in reducing HbA1c by using SGLT2 inhibitors in overweight or obese patients with poor control of T2DM. Some studies showed that dapagliflozin is effective in reducing HbA1c, body weight, and blood pressure in a real-world primary care setting in UK [27] and Germany [28]. T2DM patients frequently exhibit increased ectopic fat accumulation [29] and a progressive decline in muscle mass and quality [30], and it is by fat mass reduction that treatment with SGLT2 inhibitors reduces body weight [22]. One study showed that the weight loss caused by dapagliflozin in T2DM patients is primarily the result of a reduction in fat mass than lean mass [31]. SGLT2 inhibitors induce gluconeogenesis, lipolysis, and increase glucagon levels [32, 33], which may also contribute to fat mass reduction. This might positively affect the patients’ quality of life, treatment satisfaction, and motivation for the continuation of anti-diabetic therapy [34].

Regular exercise, renal function, and metformin use were associated with weight loss after dapagliflozin treatment. Exercise contributes to weight loss, improves blood glucose control in T2DM, reduces cardiovascular risk factors, and improves general well-being [35]. The mechanism of action of dapagliflozin is dependent on renal function. Clinical trials with dapagliflozin have been primarily conducted in patients with normal renal function or those with mild renal impairment [36], because the efficacy of dapagliflozin is reduced in patients with significant renal impairment. In addition, urinary glucose excretion decreased with increasing renal impairment and correlated with decreased GFR and renal clearance [37]. In our study, we found that the effect of dapagliflozin on weight loss was better in patients with normal renal function than in those with decreased renal function. In our study, there were only a few patients with decreased renal function due to the small number of participants, and the interpretation of the results was limited accordingly. In the future, large-scale research is needed. When metformin was prescribed alone, there was no weight loss effect. However, when dapagliflozin was prescribed in T2DM patients taking metformin, the weight reduction effect was better than that of patients not taking metformin. According to the current guideline for T2DM in Korea [38], metformin is the first drug recommended for T2DM; thus, we found that patients taking metformin will benefit more with additional dapagliflozin treatment. Given that SU closes the KATP channels on β-cell plasma membranes and increases insulin secretion, it induces weight gain in patients with T2DM [20, 21]. Considering this mechanism, the weight loss effect of dapagliflozin may be reduced when administered in combination with an SU.

Our study had several limitations. First, although the study sample size was determined through studies conducted similar to our study [39, 40], the number of participants was small. Secondly, for the assessment of comorbidities, we solely relied on the information in the patient’s medical records and medications prescribed at our hospital. In our study, the weight loss effect of dapagliflozin was observed after 1 year, but no long-term effects were evaluated. Weight loss plateaued at approximately 6–12 months; hence, 12 months of dapagliflozin treatment may be sufficient for maximal weight loss [41]. There was no valid information regarding the onset of DM. Given that T2DM and hypertension of our study participants were managed in a primary care setting, there were limitations in comparing the fasting blood glucose and HbA1c levels and BP before and after dapagliflozin treatment. Although we might have considered some of the factors that influenced weight loss in T2DM patients, we could not account for all confounding variables. Finally, our study was not a double-blinded, placebo-controlled trial. Therefore, we were unable to compare the effects of dapagliflozin with those of other hyperglycemic agents. Despite these limitations, our study involved T2DM patients in a Korean primary care setting. In addition to describing the weight loss with dapagliflozin in primary care conditions, we also identified patients who are more likely to have clinically meaningful weight reduction after start of dapagliflozin treatment.

Conclusions

We showed that dapagliflozin can effectively reduce weight in T2DM patients who are regularly exercising, having a normal kidney function, and combining metformin. However, T2DM patients taking SU were less likely to have meaningful weight reduction. In T2DM patients with these conditions, it is possible to consider the preferential use of SGLT2 inhibitors over other antihyperglycemic agents.

Availability of data and materials

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

T2DM:

T2 diabetes mellitus

OR:

Odds ratios

CT:

Confidence intervals

CVD:

Cardiovascular diseases

HbA1c:

Glycated hemoglobin

SGLT2:

Sodium glucose co-transporter 2

SU:

Sulfonylurea

eGFR:

Estimated glomerular filtration rate

References

  1. Chen L, Magliano DJ, Zimmet PZ. The worldwide epidemiology of type 2 diabetes mellitus—present and future perspectives. Nat Rev Endocrinol. 2012;8:228–36.

    Article  CAS  Google Scholar 

  2. Nanditha A, Ma RC, Ramachandran A, Snehalatha C, Chan JC, Chia KS, et al. Diabetes in Asia and the Pacific: implications for the global epidemic. Diabetes Care. 2016;39(3):472–85.

    Article  CAS  Google Scholar 

  3. Won JC, Lee JH, Kim JH, Kang ES, Won KC, Kim DJ, et al. Diabetes fact sheet in Korea, 2016: an appraisal of current status. Diabetes Metab J. 2018;42(5):415–24.

    Article  Google Scholar 

  4. Deshpande D, Harris-Hayes M, Schootman M. Epidemiology of diabetes and diabetes-related complications. Phys Ther. 2008;88(11):1254–64.

    Article  Google Scholar 

  5. American Diabetes Association. Standards of medical care in diabetes—2013. Diabetes Care. 2013;36:S11–66.

    Article  Google Scholar 

  6. Feldstein C, Nichols GA, Smith DH, Stevens VJ, Bachman K, Rosales AG, et al. Weight change in diabetes and glycemic and blood pressure control. Diabetes Care. 2008;31(10):1960–5.

    Article  Google Scholar 

  7. Franz MJ, Boucher JL, Rutten-Ramos S, VanWormer JJ. Lifestyle weight-loss intervention outcomes in overweight and obese adults with type 2 diabetes: a systematic review and meta-analysis of randomized clinical trials. J Acad Nutr Diet. 2015;115(9):1447–63.

    Article  Google Scholar 

  8. Kanders BS, Ullmann-Joy P, Foreyt JP, Heymsfield SB, Heber D, Elashoff RM, et al. The block American lifestyle intervention (BALI): the design of a weight loss program for work-class African-American women. J Am Diet Assoc. 1994;94(3):310–2.

    Article  CAS  Google Scholar 

  9. Smith G, Singleton JR. Obesity and hyperlipidemia are risk factors for early diabetic neuropathy. J Diabetes Complicat. 2013;27(5):436–42.

    Article  Google Scholar 

  10. Igarashi T, Kawato H, Kamoshita S, Nosaka K, Seiya K, Hayakawa H. Acute tubulointerstitial nephritis with uveitis syndrome presenting as multiple tubular dysfunction including Fanconi’s syndrome. Pediatr Nephrol. 1992;6:547–9.

    Article  CAS  Google Scholar 

  11. Clar GJA, Court R, Waugh N. Systematic review of SGLT2 receptor inhibitors in dual or triple therapy in type 2 diabetes. BMJ Open. 2012;2:e001007.

    Article  Google Scholar 

  12. National Institute on Alcohol Abuse and Alcoholism. Drinking levels defined, https://www.niaaa.nih.gov/alcohol-health/overview-alcohol-consumption/moderate-binge-drinking.

  13. Levey S, Coresh J, Greene T, Stevens LA, Zhang Y, Hendriksen S, et al. Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate. Ann Intern Med. 2006;145(4):247–54.

    Article  CAS  Google Scholar 

  14. Redmon JB, Bertoni AG, Connelly S, Feeney PA, Glasser SP, Glick H, et al. Effect of the look AHEAD study intervention on medication use and related cost to treat cardiovascular disease risk factors in individuals with type 2 diabetes. Diabetes Care. 2010;33(6):1153–8.

    Article  CAS  Google Scholar 

  15. Williamson F, Thompson TJ, Thun M, Flanders D, Pamuk E, Byers T. Intentional weight loss and mortality among overweight individuals with diabetes. Diabetes Care. 2000;23(10):1499–504.

    Article  CAS  Google Scholar 

  16. Morales VMA, León M, Hernández E, Praga M. Beneficial effects of weight loss in overweight patients with chronic proteinuric nephropathies. Am J Kidney Dis. 2003;41(2):319–27.

    Article  Google Scholar 

  17. Shah K, Villareal DT. Weight loss and improved fitness slow down the decline in mobility in obese adults with type 2 diabetes. BMJ Evid Based Med. 2013;18:e18.

    Article  Google Scholar 

  18. Foster GD, Borradaile KE, Sanders MH, Millman R, Zammit G, Newman AB, et al. A randomized study on the effect of weight loss on obstructive sleep apnea among obese patients with type 2 diabetes: the sleep AHEAD study. Arch Intern Med. 2009;169(17):1619–26.

    Article  Google Scholar 

  19. Faulconbridge LA, Wadden TA, Rubin RR, Wing RR, Walkup MP, Fabricatore AN, et al. One-year changes in symptoms of depression and weight in overweight/obese individuals with type 2 diabetes in the look AHEAD study. Obesity. 2012;20(4):783–93.

    Article  Google Scholar 

  20. Barnett H. Impact of sodium glucose cotransporter 2 inhibitors on weight in patients with type 2 diabetes mellitus. Postgrad Med M125. 2013;125(5):92–100.

    Article  Google Scholar 

  21. Scheen J, Van Gaal LF. Combating the dual burden: therapeutic targeting of common pathways in obesity and type 2 diabetes. Lancet Diabetes Endocrinol. 2014;2(11):911–22.

    Article  CAS  Google Scholar 

  22. Bolinder J, Ljunggren Ö, Kullberg J, Johansson L, Wilding J, Langkilde AM, et al. Effects of dapagliflozin on body weight, total fat mass, and regional adipose tissue distribution in patients with type 2 diabetes mellitus with inadequate glycemic control on metformin. J Clin Endocrinol Metab. 2012;97(3):1020–31.

    Article  CAS  Google Scholar 

  23. Tanizawa Y, Kaku K, Araki E, Tobe K, Terauchi Y, Utsunomiya K, et al. Long-term safety and efficacy of tofogliflozin, a selective inhibitor of sodium-glucose cotransporter 2, as monotherapy or in combination with other oral antidiabetic agents in Japanese patients with type 2 diabetes mellitus: multicenter, open-label, randomized controlled trials. Expert Opin Pharmacother. 2014;15(6):749–66.

    Article  CAS  Google Scholar 

  24. Blonde L, Stenlöf K, Fung A, Xie J, Canovatchel W, Meininger G. Effects of canagliflozin on body weight and body composition in patients with type 2 diabetes over 104 weeks. Postgrad Med. 2016;128(4):371–80.

    Article  Google Scholar 

  25. Vivian M. Dapagliflozin: a new sodium–glucose cotransporter 2 inhibitor for treatment of type 2 diabetes. Am J Health Syst Pharm. 2015;72(5):361–72.

    Article  CAS  Google Scholar 

  26. Kasichayanula S, Chang M, Hasegawa M, Liu X, Yamahira N, LaCreta FP, et al. Pharmacokinetics and pharmacodynamics of dapagliflozin, a novel selective inhibitor of sodium–glucose co-transporter type 2, in Japanese subjects without and with type 2 diabetes mellitus. Diabetes Obes Metab. 2011;13(4):357–65.

    Article  CAS  Google Scholar 

  27. Wilding J, Bailey C, Rigney U, Blak B. Glycated hemoglobin, body weight and blood pressure in type 2 diabetes patients initiating dapagliflozin treatment in primary care: a retrospective study. Diabetes Ther. 2016;7:695–711.

    Article  CAS  Google Scholar 

  28. Scheerer MF, Rist R, Proske O, Meng A, Kostev K. Changes in HbA1c, body weight, and systolic blood pressure in type 2 diabetes patients initiating dapagliflozin therapy: a primary care database study. Diabetes Metab Syndr Obes. 2016;9:337–45.

    Article  CAS  Google Scholar 

  29. Shulman I. Ectopic fat in insulin resistance, dyslipidemia, and cardiometabolic disease. N Engl J Med. 2014;371:1131–41.

    Article  Google Scholar 

  30. Bianchi L, Volpato S. Muscle dysfunction in type 2 diabetes: a major threat to patient’s mobility and independence. Acta Diabetol. 2016;53:879–89.

    Article  CAS  Google Scholar 

  31. Sugiyama S, Jinnouchi H, Kurinami N, Hieshima K, Yoshida A, Jinnouchi K, et al. Dapagliflozin reduces fat mass without affecting muscle mass in type 2 diabetes. J Atheroscler Thromb. 2018;25(6):467–76.

    Article  CAS  Google Scholar 

  32. Obata KN, Kubota T, Iwamoto M, Sato H, Sakurai Y, et al. Tofogliflozin improves insulin resistance in skeletal muscle and accelerates lipolysis in adipose tissue in male mice. Endocrinology. 2016;157(3):1029–42.

    Article  CAS  Google Scholar 

  33. Merovci S-HC, Daniele G, Eldor R, Fiorentino TV, Tripathy D, et al. Dapagliflozin improves muscle insulin sensitivity but enhances endogenous glucose production. J Clin Invest. 2014;124(2):509–14.

    Article  CAS  Google Scholar 

  34. Traina SB, Slee A, Woo S, Canovatchel W. The importance of weight change experiences for performance of diabetes self-care: a patient-centered approach to evaluating clinical outcomes in type 2 diabetes. Diabetes Ther. 2015;6:611–25.

    Article  Google Scholar 

  35. Chen L, Pei JH, Kuang J, Chen HM, Chen Z, Li ZW, et al. Effect of lifestyle intervention in patients with type 2 diabetes: a meta-analysis. Metabolism. 2015;64(2):338–47.

    Article  CAS  Google Scholar 

  36. Kohan DE, Fioretto P, Tang W, List JF. Long-term study of patients with type 2 diabetes and moderate renal impairment shows that dapagliflozin reduces weight and blood pressure but does not improve glycemic control. Kidney Int. 2014;85(44):962–71.

    Article  CAS  Google Scholar 

  37. Macha S, Matteus M, Halabi A, Pinnetti S, Woerle HJ, Broedl UC. Pharmacokinetics, pharmacodynamics and safety of empagliflozin, a sodium glucose cotransporter 2 (SGLT2) inhibitor, in subjects with renal impairment. Diabetes Obes Metab. 2014;16:215–22.

    Article  CAS  Google Scholar 

  38. Kim MK, Ko SH, Kim BY, Kang ES, Noh J, Kim SK, et al. 2019 clinical practice guidelines for type 2 diabetes mellitus in Korea. Diabetes Metab J. 2019;43:398–406.

    Article  Google Scholar 

  39. Jones DW, Miller ME, Wofford MR, Anderson DC, Cameron ME, Willoughby DL, et al. The effect of weight loss intervention on antihypertensive medication requirements in the hypertension optimal treatment (HOT) study. Am J Hypertens. 1999;12(12):1175–80.

    Article  CAS  Google Scholar 

  40. Masuo K, Mikami H, Ogihara T, Tuck ML. Weight reduction and pharmacologic treatment in obese hypertensives. Am J Hypertens. 2001;14(6):530–8.

    Article  CAS  Google Scholar 

  41. West DS, Prewitt TE, Bursac Z, Felix HC. Weight loss of black, white, and Hispanic men and women in the diabetes prevention program. Obesity (Silver Spring). 2008;16(6):1413–20.

    Article  Google Scholar 

Download references

Acknowledgements

None.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or non-profit sectors.

Author information

Authors and Affiliations

Authors

Contributions

Y.H. and Y.S.K. were the principal investigators. They contributed substantially to the study conception and design, literature search, collection and assembly of data, data analyses, and data interpretation, and wrote all the drafts and the final version of the report. All authors approved the final version. Both authors had full access to all the study data and take responsibility for the integrity of the data and the accuracy of the data analysis. All authors had final responsibility for the decision to submit the manuscript for publication. The author(s) read and approved the final manuscript.

Corresponding author

Correspondence to Young Sik Kim.

Ethics declarations

Ethics approval and consent to participate

This study adhered to the principles of the Declaration of Helsinki. The Institutional Review Board of Asan Medical Center approved our study [No. AMC-IRB 2020–0824]. The requirement for informed consent was waived by the Institutional Review Board of Asan Medical Center because of the retrospective nature of the study.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Huh, Y., Kim, Y.S. Predictors for successful weight reduction during treatment with Dapagliflozin among patients with type 2 diabetes mellitus in primary care. BMC Prim. Care 23, 134 (2022). https://doi.org/10.1186/s12875-022-01748-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12875-022-01748-1

Keywords