Obesity and low target attainment rates in Chinese with type 2 diabetes

Population segmentation of type 2 diabetes mellitus patients and its clinical applications - a scoping review

Background

Population segmentation permits the division of a heterogeneous population into relatively homogenous subgroups. This scoping review aims to summarize the clinical applications of data driven and expert driven population segmentation among Type 2 diabetes mellitus (T2DM) patients.

Methods

The literature search was conducted in Medline®, Embase®, Scopus® and PsycInfo®. Articles which utilized expert-based or data-driven population segmentation methodologies for evaluation of outcomes among T2DM patients were included. Population segmentation variables were grouped into five domains (socio-demographic, diabetes related, non-diabetes medical related, psychiatric / psychological and health system related variables). A framework for PopulAtion Segmentation Study design for T2DM patients (PASS-T2DM) was proposed.

Results

Of 155,124 articles screened, 148 articles were included. Expert driven population segmentation approach was most commonly used, of which judgemental splitting was the main strategy employed (n = 111, 75.0%). Cluster based analyses (n = 37, 25.0%) was the main data driven population segmentation strategies utilized. Socio-demographic (n = 66, 44.6%), diabetes related (n = 54, 36.5%) and non-diabetes medical related (n = 18, 12.2%) were the most used domains. Specifically, patients’ race, age, Hba1c related parameters and depression / anxiety related variables were most frequently used. Health grouping/profiling (n = 71, 48%), assessment of diabetes related complications (n = 57, 38.5%) and non-diabetes metabolic derangements (n = 42, 28.4%) were the most frequent population segmentation objectives of the studies.

Conclusions

Population segmentation has a wide range of clinical applications for evaluating clinical outcomes among T2DM patients. More studies are required to identify the optimal set of population segmentation framework for T2DM patients.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12874-021-01209-w.

A multicentre demonstration project to evaluate the effectiveness and acceptability of the web-based Joint Asia Diabetes Evaluation (JADE) programme with or without nurse support in Chinese patients with Type 2 diabetes

AIMS

To test the hypothesis that delivery of integrated care augmented by a web-based disease management programme and nurse coordinator would improve treatment target attainment and health-related behaviour.

METHODS

The web-based Joint Asia Diabetes Evaluation (JADE) and Diabetes Monitoring Database (DIAMOND) portals contain identical built-in protocols to integrate structured assessment, risk stratification, personalized reporting and decision support. The JADE portal contains an additional module to facilitate structured follow-up visits. Between January 2009 and September 2010, 3586 Chinese patients with Type 2 diabetes from six sites in China were randomized to DIAMOND (n = 1728) or JADE, plus nurse-coordinated follow-up visits (n = 1858) with comprehensive assessments at baseline and 12 months. The primary outcome was proportion of patients achieving ≥ 2 treatment targets (HbA1c < 53 mmol/mol (7%), blood pressure < 130/80 mmHg and LDL cholesterol < 2.6 mmol/l).

RESULTS

Of 3586 participants enrolled (mean age 57 years, 54% men, median disease duration 5 years), 2559 returned for repeat assessment after a median (interquartile range) follow-up of 12.5 (4.6) months. The proportion of participants attaining ≥ 2 treatment targets increased in both groups (JADE 40.6 to 50.0%; DIAMOND 38.2 to 50.8%) and there were similar absolute reductions in HbA1c [DIAMOND -8 mmol/mol vs JADE -7 mmol/mol (-0.69 vs -0.62%)] and LDL cholesterol (DIAMOND -0.32 mmol/l vs JADE -0.28 mmol/l), with no between-group difference. The JADE group was more likely to self-monitor blood glucose (50.5 vs 44.2%; P = 0.005) and had fewer defaulters (25.6 vs 32.0%; P < 0.001).

CONCLUSIONS

Integrated care augmented by information technology improved cardiometabolic control, with additional nurse contacts reducing the default rate and enhancing self-care. (Clinical trials registry no.: NCT01274364).

Obesity, ultrasound indexes of fat depots and lipid goal attainment in patients with high and very high cardiovascular risk: A novel approach towards better risk reduction

AIM

Our aim was to assess the attainment of primary (low density lipoprotein cholesterol; LDL-C) and secondary (non-high density lipoprotein cholesterol; non-HDL-C) lipid therapeutic goals in relation to obesity, clinical measures of adiposity and ultrasound indexes of fat depots, including the novel index of periarterial adipose tissue (PAT): carotid artery extra media thickness (EMT).

METHODS AND RESULTS

High and very high cardiovascular (CV) risk patients (n = 420; F/M: 34/66%; age: 61.2 ± 7 years) with prior statin treatment (≥ 18 months) were enrolled into this cross-sectional study. All patients had a detailed assessment with several anthropometric measures and ultrasound indexes of fat depots indexed to BMI: abdominal (Intra-abdominal Fat Thickness; IAT and Pre-peritoneal Fat Thickness; PreFT), paracardial (Epicardial Fat Thickness; EFT and Pericardial Fat Thickness; PFT) and the new index corresponding to PAT (carotid EMT). Lipid goals attainment in the study group was as follows: 34% (LDL-C goal), 39% (non-HDL-C goal) and 35% (both LDL and non-HDL-C goals). Among ultrasound indexes, patients with both lipid goals attainment revealed significantly lower carotid EMT/BMI (LDL-C goal: 25.2 ± 4.2 vs 27.5 ± 4.1, p < 0.01 and non-HDL-C goal: 26.1 ± 4 vs 27.7 ± 4.2, p < 0.01) and IAT/BMI (LDL-C goal: 2.35 ± 0.66 vs 2.51 ± 0.71, p = 0.02 and non-HDL-C goal: p = ns) compared to individuals without goals achievement. Moreover, lipid goals attainment was associated with both measures: carotid EMT/BMI (LDL-C goal: r = -0.2, p < 0.05 and non-HDL-C goal: r = -0.2, p < 0.05) and IAT/BMI (LDL-C goal: r = -0.2, p < 0.05 and non-HDL-C goal: r = -0.2, p < 0.05). Multivariable regression analysis showed also independent association between carotid EMT/BMI and both goals achievement: LDL-C (p = 0.01) and non-HDL-C goal (p = 0.01). Other fat depots indexes (EFT, PFT and PreFT) failed to provide additional data.

CONCLUSION

Contrary to overall obesity and most clinical measures of adiposity, carotid EMT and abdominal IAT, but not other ultrasound indexes of fat depots revealed associations independent from BMI with lipid goal attainment and may help identify patients requiring more aggressive lipid management.

Prevalence of hypertension and obesity in patients with type 2 diabetes mellitus in observational studies: a systematic literature review

BACKGROUND

Hypertension and obesity are known to contribute, directly or indirectly, to the development of long-term complications of type 2 diabetes mellitus (T2DM). Knowing the prevalence of these comorbidities is important for determining the size of the population that may benefit from strategies that reduce blood pressure and weight while controlling blood glucose.

METHODS

In this systematic literature review, electronic searches of PubMed, Embase, and the Cochrane Library were conducted to identify observational studies of hypertension and/or obesity prevalence in patients with T2DM throughout the world. The searches were limited to studies reported in English from January 1, 2001 to February 16, 2012.

RESULTS

From a total of 2,688 studies, 92 observational studies provided prevalence rates for hypertension and/or obesity specifically in adults with T2DM. Fifteen studies of specific subtypes of hypertension or subpopulations with T2DM were subsequently excluded, leaving 78 studies (in 77 articles) for inclusion in this article. Of these, 61studies reported hypertension prevalence, 44 reported obesity prevalence, and 12 reported the prevalence of hypertension with obesity. Most studies had a low risk of bias regarding diagnosis of T2DM (70/78), hypertension (59/69), or obesity (45/47). The continental regions with the most observational studies of hypertension or obesity prevalence were Europe (n = 30) and Asia (n = 26). Hypertension rates typically were high in all regions; most studies presented rates above 50%, and many presented rates above 75%. Obesity rates exceeded 30% in 38 of 44 studies and 50% in 14 of 44 studies, especially those assessing central obesity (based on waist circumference). Among obese adults, hypertension rates were at or above 70% in Asia and above 80% in Europe; rates were lower in North and South America but still above 30%.

CONCLUSION

Around the world, hypertension and obesity, separately or together, are common comorbidities in adults with T2DM.