Resource use and costs in patients with poorly controlled type 2 diabetes mellitus and obesity in routine clinical practice in Spain

Assessment of the Potential Clinical and Economic Impact of Weight Loss in the Adult Population with Obesity and Associated Comorbidities in Spain

INTRODUCTION

Obesity and its complications are associated with high morbidity/mortality and a significant healthcare cost burden in Spain. It is therefore essential to know the potential clinical and economic benefits of reducing obesity. The objective of this study is to predict the decrease in rates of onset of potential complications associated with obesity and the cost savings after a weight loss of 15% over 10 years in Spain.

METHODS

Data were combined in an adapted version of a weight loss benefit simulation model. Sources with demographic information on the Spanish population and the distribution of obesity and type 2 diabetes mellitus (T2DM) were used to obtain the data for the model. In addition, use was made of prevalence data on obesity-associated complications from a cohort of patients with obesity in the United Kingdom (UK). These data were combined by age and sex to create a Spanish synthetic cohort.

RESULTS

The simulation showed that, for a cohort of 100,000 individuals with a body mass index (BMI) of 30-50 kg/m2, a weight loss of 15% is estimated to lead to relevant relative risk reductions in obstructive sleep apnoea (OSA) (- 56.4%), T2DM (- 39.2%), asthma (- 20.2%) and arterial hypertension (- 18.7%). The estimated overall savings were €105 million for a cohort of 100,000 individuals, mainly resulting from the decrease in T2DM and arterial hypertension (23% and 22% of the total savings at year 10, respectively), as well as osteoarthritis and chronic kidney disease (CKD) (16% and 13%, respectively).

CONCLUSIONS

Sustained weight loss could significantly reduce the burden derived from future complications associated to obesity in Spain, as well as the excess economic cost associated with its treatment.

Disease and Economic Burden of Poor Metabolic and Weight Control in Type 2 Diabetes in Spain: A Systematic Literature Review

INTRODUCTION

Poor metabolic control and excess body weight are frequently present in people with type 2 diabetes (PwT2D).

METHODS

A systematic literature review was conducted to identify observational studies reporting clinical, economic, and health-related quality of life (HRQoL) outcomes associated with poor metabolic (according to HbA1c, blood pressure [BP] and low density lipoprotein cholesterol [LDL-C] levels) and/or weight control (defined by a body mass index [BMI] ≥ 30 kg/m2) in adults with T2D in Spain, including articles published in either Spanish or English between 2013 and 2022 and conference abstracts from the last 2 years.

RESULTS

Nine observational studies were included in the analysis. Poor glycemic control (HbA1c ≥ 7%) was associated with cardiovascular disease (CVD), increased requirements for antidiabetic medications, higher and more frequent weight gain, a greater probability of hypoglycemia and dyslipidemia, and worse health-related quality of life (HRQoL). Uncontrolled BP in PwT2D was related with the presence of CVD, worse metabolic control, and higher BMI and abdominal perimeter values. Poor LDL-C control or dyslipidemia was associated with CVD, hypoglycemia, and elevated HbA1c and triglycerides levels. The presence of a BMI ≥ 30 kg/m2 was related to CVD and hypoglycemia, a higher prevalence of metabolic syndrome and worse BP control. Direct medical costs were found to be higher in PwT2D when coexisting with HbA1c levels ≥ 7%, uncontrolled BP or obesity. Increased total costs, including productivity losses, were also detected in those who presented uncontrolled BP and a BMI ≥ 30 kg/m2, and when poor weight control existed together with HbA1c ≥ 8% and poorly controlled BP.

CONCLUSION

Gathered evidence supports the high clinical, economic and HRQoL burden of poor metabolic and/or weight control in PwT2D in Spain and reinforces the importance of prioritizing its control to reduce the associated burden, at both the individual and healthcare system levels.

C-peptide level as predictor of type 2 diabetes remission and body composition changes in non-diabetic and diabetic patients after Roux-en-Y gastric bypass

OBJECTIVES

Several predictors of type 2 diabetes mellitus (T2DM) remission after metabolic surgery have been proposed and used to develop predictive scores. These scores may not be reproducible in diverse geographic regions with different baseline characteristics. This study aimed to identify predictive factors associated with T2DM remission after Roux-en-Y gastric bypass (RYGB) in patients with severe obesity. We hypothesized that the body composition alterations induced by bariatric surgery could also contribute to diabetes remission.

METHODS

We retrospectively evaluated 100 patients with severe obesity and T2DM who underwent RYGB between 2014 and 2016 for preoperative factors (age, diabetes duration, insulin use, HbA1c, C-peptide plasma level, and basal insulinemia) to identify predictors of T2DM remission (glycemia<126 mg/dL and/or HbA1c<6.5%) at 3 years postoperatively. The potential preoperative predictors were prospectively applied to 20 other patients with obesity and T2DM who underwent RYGB for validation. In addition, 81 patients with severe obesity (33 with T2DM) underwent body composition evaluations by bioelectrical impedance analysis (InBody 770®) 1 year after RYGB for comparison of body composition changes between patients with and those without T2DM.

RESULTS

The retrospective analysis identified only a C-peptide level >3 ng/dL as a positive predictor of 3-year postoperative diabetes remission, which was validated in the prospective phase. There was a significant difference in the postoperative body composition changes between non-diabetic and diabetic patients only in trunk mass.

CONCLUSION

Preoperative C-peptide levels can be useful for predicting T2DM remission after RYGB. Trunk mass is the most important difference in postoperative body composition changes between non-diabetic and diabetic patients.