Body mass index and all-cause mortality among type 2 diabetes mellitus patients: Findings from the 5-year follow-up of the MADIABETES cohort

A different perspective on studying stroke predictors: joint models for longitudinal and time-to-event data in a type 2 diabetes mellitus cohort

BACKGROUND

Most predictive models rely on risk factors and clinical outcomes assessed simultaneously. This approach does not adequately reflect the progression of health conditions. By employing joint models of longitudinal and survival data, we can dynamically adjust prognosis predictions for individual patients. Our objective was to optimize the prediction of stroke or transient ischemic attack (TIA) via joint models that incorporate all available changes in the predictive variables.

METHODS

A total of 3442 patients with type 2 diabetes mellitus (T2DM) and no history of stroke, TIA or myocardial infarction were followed for 12 years. Models were constructed independently for men and women. We used proportional hazards regression models to assess the effects of baseline characteristics (excluding longitudinal data) on the risk of stroke/TIA and linear mixed effects models to assess the effects of baseline characteristics on longitudinal data development over time. Both submodels were then combined into a joint model. To optimize the analysis, a univariate analysis was first performed for each longitudinal predictor to select the functional form that gave the best fit via the deviance information criterion. The variables were then entered into a multivariate model using pragmatic criteria, and if they improved the discriminatory ability of the model, the area under the curve (AUC) was used.

RESULTS

During the follow-up period, 303 patients (8.8%) experienced their first stroke/TIA. Age was identified as an independent predictor among males. Among females, age was positively associated with atrial fibrillation (AF). The final model for males included AF, systolic blood pressure (SBP), and diastolic blood pressure (DBP), with albuminuria and the glomerular filtration rate (GFR) as adjustment variables. For females, the model included AF, blood pressure (BP), and renal function (albuminuria and GFR), with HbA1c and LDL cholesterol as adjustment variables. Both models demonstrated an AUC greater than 0.70.

CONCLUSIONS

Age, AF, and SBP have been confirmed as significant predictive factors in both sexes, whereas renal function was significant only in women. Interestingly, an increase in DBP may serve as a protective factor in our cohort. These factors were particularly relevant in the last 3-7 years of follow-up.

Body Mass Index and Risk of All-Cause and Cardiovascular Disease Mortality in Patients With Type 2 Diabetes Mellitus

CONTEXT

The correlations between body mass index (BMI) and risk of all-cause and cardiovascular disease (CVD) mortality in patients with type 2 diabetes mellitus (T2DM) are still controversial.

OBJECTIVE

To explore the correlation between BMI and the risk of all-cause and CVD mortality in patients with T2DM.

METHODS

The data sources China National Knowledge Infrastructure, Wanfang Data Knowledge Service Platform, PubMed, Web of Science, Embase, and The Cochrane Library were searched up until May 25, 2024. After adjusting for confounding factors, the original study on the association between BMI and all-cause and CVD mortality in patients with T2DM was analyzed. Number of all-cause and CVD mortality events, BMI, and basic characteristics were extracted.

RESULTS

Twenty-eight papers with a total of 728 321 participants were finally included. Compared to normal-weight patients with T2DM, the risk of all-cause (HR = 1.61; 95% CI [1.51, 1.72]; P = .000) and CVD (HR = 1.31; 95% CI [1.10, 1.54]; P = .002) mortality were increased in underweight patients; however, they were reduced (HR = 0.85; 95% CI [0.81, 0.89]; P = .000) and (HR = 0.86; 95% CI [0.78, 0.96]; P = .007), respectively in patients with overweight. Also, there were significant reductions in the risk of all-cause (HR = 0.85; 95% CI [0.78, 0.92]; P = .000) and CVD (HR = 0.81; 95% CI [0.74, 0.89]; P = .000] mortality in patients with mild obesity. The difference in the risk of all-cause mortality (HR = 0.98; 95% CI [0.80, 1.21]; P = .881) in patients with moderate obesity was not statistically significant.

CONCLUSION

We found that there were correlations between BMI and the risk of all-cause and CVD mortality in patients with T2DM. The obesity paradox remains.

Glycemic Control and Obesity Among People With Type 2 Diabetes in Europe and Australia: A Retrospective Cohort Analysis

INTRODUCTION

In people with type 2 diabetes (PwT2D) who also have obesity, efforts targeting weight loss, including lifestyle, medication and surgical interventions, are recommended. The objective of this study was to explore the relationship between glycemic control and obesity among PwT2D in Europe and Australia using recent real-world data and applying consistent methodology across countries.

METHODS

Retrospective study utilizing IQVIA electronic medical records (EMR) databases grouped into panels based on specialty of contributing physicians. General practitioner (GP) and endocrinologist/diabetologist (E/D) panels were used in Germany and France, while GP panels were used in Italy, UK and Australia. The Spanish database included all physician specialties. The sample included PwT2D with glycated hemoglobin A1c (HbA1c) and body mass index (BMI) values measured within 90 days of each other between January 2015 and December 2018 (second record termed the 'index date'). PwT2D had a 1-year baseline period and a recorded HbA1c at the end of the 1-year post-index period.

RESULTS

The final sample comprised 194,729 PwT2D. At baseline, across countries/panels, 36.8-58.0% were above HbA1c target (HbA1c ≥ 7%) and 39.4-56.7% had obesity (BMI ≥ 30.0 kg/m2). Mean HbA1c ranged from 6.9 to 7.6% and mean BMI ranged from 29.3-31.6 kg/m2. At baseline, a higher proportion of PwT2D with obesity (40.8-64.2%) were above HbA1c target compared to their counterparts without obesity (32.2-52.4%). A higher proportion of patients with obesity at baseline (38.1-60.6%) had post-index HbA1c above target compared to their counterparts without obesity (30.9-56.0%). In logistic regression, patients with obesity had substantially lower odds of post-index HbA1c below target compared to those without obesity in all countries/panels except for France (E/D), Spain and Australia.

CONCLUSIONS

This study presents data on HbA1c and BMI among type 2 diabetes (T2D) populations in Europe and Australia. A notable proportion of PwT2D had obesity and were above HBA1c target. Higher BMI was associated with poorer glycemic control.

Weight Change and the Association with Adherence and Persistence to Diabetes Therapy: A Narrative Review

PURPOSE

Type 2 diabetes (T2D) medication adherence is poor and is impacted by individual drug characteristics. Treatment-associated weight change can affect medication-taking behavior. This review aimed to explore weight change on T2D therapy and consider its impact on adherence and discontinuation.

METHODS

Searches were conducted in MEDLINE and EMBASE (2005 to September 2020), and among recent congress abstract books for studies providing data on medication adherence or discontinuation and weight change in people with T2D (PwD).

RESULTS

Nine studies meeting the inclusion criteria were identified from 9188 bibliographic records. All three studies exploring weight change and discontinuation reported weight loss to be associated with higher persistence. Seven studies of varying design explored weight change and adherence. Four reported absolute weight change (kg) and adherence: one pooled data from different diabetes medications and demonstrated that self-reported adherence was significantly associated with weight loss; however, three studies found that weight change in adherent PwD was in the direction of the known weight profile (loss/gain) of the evaluated drug. Categorical weight loss (≥3%) and adherence were reported in two studies: one reported that numerically more adherent versus non-adherent PwD lost ≥3% weight regardless of the drug's weight profile, the other showed that early weight loss with a glucagon-like peptide-1 agonist was significantly associated with better adherence. One study reported adherence by categorical weight change; as weight loss increased, adherence scores improved, regardless of drug type.

CONCLUSION

Findings suggest that discontinuation rates may be lower in PwD who lose as compared to those who gain weight on T2D treatment. The evidence base on adherence and weight change is more challenging to interpret due to the range of study designs. Given the importance of weight control in T2D, further research exploring the individual's treatment, weight journey, and behaviors over time should be undertaken.

Adiposity by Differing Measures and the Risk of Cataract in the UK Biobank: The Importance of Diabetes

Purpose

To examine the association between adiposity by differing measures and incident cataract and identify important factors contributing to the association.

Methods

Our analysis included 153,139 adults from the UK Biobank, aged 40 to 70 years at baseline (2006-2010). Cataract was ascertained using hospital inpatient, and self-reported data until the early of 2021. Anthropometric measures, body fat percentage, and glycosylated hemoglobin (HbA1c) were measured at baseline.

Results

During a median follow-up of 10.9 years, 15,255 cases of incident cataract were documented. HbA1c was an important contributor to the association between obesity and incident cataract. Obesity; defined by body mass index was associated with an increased risk of cataract (hazard ratio [HR], 1.21 95% confidence interval [CI], 1.16-1.26), and this association was attenuated but remained significant after additional adjustment for HbA1c (HR, 1.05; 95% CI, 1.00-1.10). Similar results were observed for obesity defined by waist circumference or waist-to-hip ratio. Obesity defined by fat percentage was associated with an increased risk of cataract before but not after adjustment for covariates. The association between obesity defined by body mass index and incident cataract was positively significant in individuals with normal HbA1c (HR, 1.07; 95% CI, 1.02-1.13), but inversely significant in those with prediabetes (HR, 0.80; 95% CI, 0.67-0.96) or diabetes (HR, 0.74; 95% CI, 0.61-0.89).

Conclusions

Anthropometric measurements are more predictive of cataract than bioelectrical impedance measures. Diabetes plays an important role in the association between obesity and incident cataract.

Incidence and costs of cardiovascular events in Spanish patients with type 2 diabetes mellitus: a comparison with general population, 2015

INTRODUCTION

Cardiovascular (CV) disease affects a high percentage of patients with type 2 diabetes mellitus (T2DM), especially in the hospital setting, impacting on mortality, complications, quality of life and use of health resources. The aim of this study was to estimate the incidence, mean length of hospital stay (LOHS) and costs attributable to hospital admissions due to CV events in patients with T2DM versus patients without diabetes mellitus (non-DM) in Spain.

RESEARCH DESIGN AND METHODS

Retrospective observational study based on the Spanish National Hospital Discharge Database for 2015. Hospital admissions for patients aged ≥35 years with a diagnosis of CV death, non-fatal acute myocardial infarction (AMI), non-fatal stroke, unstable angina, heart failure and revascularization were evaluated. The International Classification of Diseases, Ninth Revision (250.x0 or 250.x2) coding was used to classify records of patients with T2DM. For each CV complication, the hospital discharges of the two groups, T2DM and non-DM, were precisely matched and the number of hospital discharges, patients, LOHS and mean cost were quantified. Additional analyses assessed the robustness of the results.

RESULTS

Of the 276 925 hospital discharges analyzed, 34.71% corresponded to patients with T2DM. A higher incidence was observed in all the CV complications studied in the T2DM population, with a relative risk exceeding 2 in all cases. The mean LOHS (days) was longer in the T2DM versus the non-DM group for: non-fatal AMI (7.63 vs 7.02, p<0.001), unstable angina (5.11 vs 4.78, p=0.009) and revascularization (7.96 vs 7.57, p<0.001). The mean cost per hospital discharge was higher in the T2DM versus the non-DM group for non-fatal AMI (€6891 vs €6876, p=0.029) and unstable angina (€3386 vs €3304, p<0.001).

CONCLUSIONS

Patients with T2DM had a higher incidence and number of hospital admissions per patient due to CV events versus the non-DM population. This generates a significant clinical and economic burden given the longer admission stay and higher costs associated with some of these complications.

Influence of Diabetic Retinopathy on the Relationship Between Body Mass Index and Mortality in Patients with Poorly Controlled Type 2 Diabetes

PURPOSE

An "obesity paradox" has been observed in patients with type 2 diabetes. However, the optimal body mass index (BMI) for survival may be influenced by the stage of diabetes. We examined the relationship between BMI and mortality in patients with type 2 diabetes and the influence of diabetic retinopathy (DR).

PATIENTS AND METHODS

This is a retrospective cohort composing patients with type 2 diabetes who were admitted due to poor glucose control. Presence of DR was confirmed by ophthalmologists. The primary outcome was all-cause mortality. The association between BMI and mortality was assessed using a Cox proportional hazards model with adjustment for age, sex, and traditional risk factors.

RESULTS

A total of 2053 patients were enrolled. Over median follow-up of 6.7 years, there were 1060 deaths. Patients were classified into five categories based on admission BMI (kg/m²): <18.5, 18.5‒23, 23‒25, 25‒27 (reference), 25‒30 and >30. Mortality risk was significantly higher in the <18.5 kg/m², 18.5-23 kg/m², and 23-25 kg/m² categories than in the reference category (P <0.001). The similar obesity paradox was observed in the subgroup of patients without DR. However, in patients with DR, only patients with BMI <18.5 kg/m² had significantly increased mortality than those in the reference category. The presence of DR significantly modified the shape of the association between BMI and mortality (P = 0.019).

CONCLUSION

The obesity paradox exists in patients with poorly controlled type 2 diabetes. The presence of DR appears to significantly influence the shape of the association between BMI and mortality.

A Multicenter Large-Scale Retrospective Analysis of the Correlation between Body Mass Index and All-Cause Mortality in Patients with Type 2 diabetes Mellitus: A Seven-Year Real-World Study

Aims: To investigate the association between body mass index (BMI) and all-cause mortality in patients with type 2 diabetes mellitus (T2DM) and to determine any sex-specific differences in this association. Methods: We retrospectively enrolled patients with T2DM and investigated the annual death data for seven years starting from 2010. All-cause mortality was calculated using Life Tables analysis. Multivariate Cox proportional hazards analysis was performed to identify the association between BMI and mortality. Results: During a mean survey period of 7.33 ± 1.42 years (X± SD), 996 of the 17259 patients enrolled died, resulting in an all-cause mortality rate of 5.77%, with no significant difference between women and men (6.04% vs. 5.56%; x² = 1.766, P = 0.184). The top three causes of death were ischemic heart disease, cerebrovascular disease, and chronic kidney failure. A total of 87, 266, 332, and 311 patients with a BMI of <18.5, 18.5-23.99, 24.0-27.99, and ≥28.0 kg/m², respectively, died, with the corresponding mortality rate calculated at 15.45%, 3.30%, 5.80%, and 10.70%, respectively. The BMI value associated with the highest all-cause mortality was <18.5 kg/m², but this association was only significant in women aged <50 years (HR: 3.12; 95% CI, 1.62-4.34; P < 0.001). Conclusions: In patients with T2DM, a low BMI in women aged <50 years predicted high all-cause mortality.

Impact of type 2 diabetes mellitus on in-hospital-mortality after major cardiovascular events in Spain (2002-2014)

BACKGROUND

Diabetes mellitus has long been associated with cardiovascular events. Nevertheless, the higher burden of traditional cardiovascular risk factors reported in high-income countries is offset by a more widespread use of preventive measures and revascularization or other invasive procedures. The aim of this investigation is to describe trends in number of cases and outcomes, in-hospital mortality (IHM) and length of hospital stay (LHS), of hospital admissions for major cardiovascular events between type 2 diabetes (T2DM) and matched non-diabetes patients.

METHODS

Retrospective study using National Hospital Discharge Database, analyzed in 4 years 2002, 2006, 2010, 2014, in Spain. We included patients (≥ 40 years old) with a primary diagnosis of myocardial infarction, ischemic and hemorrhagic stroke, aortic aneurysm and dissection and acute lower limb ischemia in people with T2DM. Cases were matched with controls (without T2DM) by ICD-9-CM codes, sex, age, province of residence and year.

RESULTS

We selected 130,011 matched couples (50,427 with myocardial infarction, 60,236 with stroke, 2599 with aortic aneurysm and dissection and 16,749 with acute lower limb ischemia. Among T2DM patients we found increasing numbers of admissions overtime for stroke (10,794 in 2002 vs 17,559 in 2014), aortic aneurysm and dissection (390 vs 841) and acute lower limb ischemia (3854 vs. 4548). People were progressively older (except for myocardial infarction), had more comorbidities (especially T2DM patients), and were more frequently coded overtime for cardiovascular risk factors (smoking, obesity, hypertension, lipid disorders) and renal diseases. LHS and IHM declined overtime, though IHM only did it significantly in T2DM patients. Multivariable adjustment showed that T2DM patients had a significantly 15% higher mortality rate during admission for myocardial infarction, a 6% higher mortality for stroke, and a 6% higher mortality rate for "all cardiovascular events combined", than non-diabetic matched controls.

CONCLUSIONS

The number of hospital admissions for stroke, aortic aneurysm and dissection and acute lower limb ischemia increased overtime, but remained stable for myocardial infarction. T2DM is associated to higher IHM after major cardiovascular events. Further research is needed to help us understand the reasons for an apparently increased mortality in T2DM patients when admitted to hospital for some major cardiovascular events.