Trends in Cause-Specific Outcomes Among Individuals With Type 2 Diabetes and Heart Failure in the United Kingdom, 1998-2017

Evaluation of the reported data linkage process and associated quality issues for linked routinely collected healthcare data in multimorbidity research: a systematic methodology review

OBJECTIVE

The objective of this systematic review was to examine how the record linkage process is reported in multimorbidity research.

METHODS

A systematic search was conducted in Medline, Web of Science and Embase using predefined search terms, and inclusion and exclusion criteria. Published studies from 2010 to 2020 using linked routinely collected data for multimorbidity research were included. Information was extracted on how the linkage process was reported, which conditions were studied together, which data sources were used, as well as challenges encountered during the linkage process or with the linked dataset.

RESULTS

Twenty studies were included. Fourteen studies received the linked dataset from a trusted third party. Eight studies reported variables used for the data linkage, while only two studies reported conducting prelinkage checks. The quality of the linkage was only reported by three studies, where two reported linkage rate and one raw linkage figures. Only one study checked for bias by comparing patient characteristics of linked and non-linked records.

CONCLUSIONS

The linkage process was poorly reported in multimorbidity research, even though this might introduce bias and potentially lead to inaccurate inferences drawn from the results. There is therefore a need for increased awareness of linkage bias and transparency of the linkage processes, which could be achieved through better adherence to reporting guidelines.

PROSPERO REGISTRATION NUMBER

CRD42021243188.

Ischemic cardiomyopathy versus non-ischemic cardiomyopathy in diabetic patients: clinical characteristics, management, and long-term outcomes

BACKGROUND

Diabetes mellitus causes ischemic heart disease (IHD) through macrovascular or microvascular involvement. Diabetes-associated hypertension, dyslipidemia, and obesity further increase coronary artery disease risk and can cause left ventricular hypertrophy leading to heart failure with preserved ejection fraction independent of IHD. This study was undertaken to evaluate the differences in demographics, clinical characteristics, Echocardiographic parameters, management, and outcomes between non-ischemic cardiomyopathy (NICM) and ischemic cardiomyopathy (ICM) patients in cohort of diabetes patients.

METHODS

This retrospective study included diabetes patients with reduced ejection fraction (≤40) who were hospitalized with heart failure between January 2014 and February 2020. Patients were divided into two groups: group 1; ICM and group 2; NICM. Data obtained on above mentioned features including mortality and heart failure readmissions were compared between the two groups.

RESULTS

A total of 612 diabetes patients admitted with acute heart failure were screened of which 442 were included. Group 1 (ICM) had 361 patients (81.7%) and group 2 (NICM) had 81 patients (18.3%). Patients in group 1 were older, predominantly males and with higher prevalence of hypertension, smoking and insulin dependent Diabetes while group 2 patients had higher BMI and higher prevalence of cardiac rhythm problems. No significant difference was detected in 5-year-mortality between the two groups (P=0.165). However, heart failure associated hospitalizations were higher in group 2 though it was not statistically significant (P=0.062).

CONCLUSION

There was no difference in 5-years mortality between ICM and NICM in diabetes patients. However, NICM patients had higher prevalence of obesity and rhythm problems.

Time series of diabetes attributable mortality from 2008 to 2017

PURPOSE

Diabetes is a growing health problem. The aim of this study was to capture time trends in mortality associated with diabetes.

METHODS

The mortality database of the Veneto region (Italy) includes both the underlying causes of death, and all the diseases mentioned in the death certificate. The annual percent change (APC) in age-standardized rates from 2008 to 2017 was computed by the Joinpoint Regression Program.

RESULTS

Overall 453,972 deaths (56,074 with mention of diabetes) were observed among subjects aged ≥ 40 years. Mortality rates declined for diabetes as the underlying cause of death and from diabetes-related circulatory diseases. The latter declined especially in females - 4.4 (CI 95% - 5.3/- 3.4), while in males the APC was - 2.8 (CI 95% - 4.0/- 1.6).

CONCLUSION

We observed a significant reduction in mortality during the period 2008-2017 in diabetes either as underlying cause of death or when all mentions of diabetes in the death certificate were considered.

Lifetime Risk of Heart Failure and Trends in Incidence Rates Among Individuals With Type 2 Diabetes Between 1995 and 2018

Background

There are limited data on the lifetime risk of heart failure (HF) in people with type 2 diabetes and how incidence has changed over time. We estimated the cumulative incidence and incidence rates of HF among Danish adults with type 2 diabetes between 1995 and 2018 using nationwide data.

Methods and Results

In total, 398 422 patients (49% women) with type 2 diabetes were identified. During follow‐up, 36 400 (9%) were diagnosed with HF and 121 459 (30%) were censored due to death. Using the Aalen‐Johansen estimators, accounting for the risk of death, the estimated residual lifetime risk of HF at age 50 years was calculated as 24% (95% CI 22%–27%) in women and 27% (25%–28%) in men. During the observational period, the proportion of patients treated with statins, angiotensin‐converting enzyme inhibitors or angiotensin II receptor blockers, and metformin increased from <30% to >60%. Similarly, the annual incidence rates of HF decreased significantly, with declines being greater in older versus younger individuals (5% versus 2% in age >50 versus ≤50 years, respectively; P<0.0001) and in women versus men (5% versus 4%, P=0.02), but similar in patients with and without IHD (4% versus 4%, P=0.53).

Conclusions

The current lifetime risk of HF in type 2 diabetes approximates 1 in 4 for men and women. Paralleled by an increase in use of evidence‐based pharmacotherapy over the past decades, the risk of developing HF has declined across several subgroups and regardless of underlying IHD, suggesting that optimal diabetes treatment can mitigate HF risk.

Association between plasma betaine levels and dysglycemia in patients with coronary artery disease

Background: Dietary betaine intake was reported to associate with favorable profile of metabolic disorders. However, the role of circulating betaine in coronary artery disease (CAD) patients with dysglycemia is still unknown. The present study aimed to investigate the potential associations between plasma betaine levels and dysglycemia in CAD patients.

Methods: Total 307 subjects were enrolled in the present study with 165 CAD patients (57 with dysglycemia and 108 with normal glycemia) and 142 age- and sex-matched controls (CON). Fasting plasma betaine was detected using liquid chromatography tandem mass spectrometry.

Results: Plasma betaine was lower in normal glycemia CAD patients (28.29 (22.38–35.73) μM) compared with healthy controls (29.75 (25.32–39.15) μM), and was further decreased in CAD patients with dysglycemia (24.14 (20.84–30.76) μM, P<0.01). Betaine levels were inversely correlated with fasting glucose, glycated hemoglobin% (HbA1c), diastolic blood pressure (DBP), triglyceride (TG) and alanine aminotransferase (ALT) levels (all, P≤0.05). Subjects in the highest betaine tertile group had lowest frequency of CAD and dysglycemia (all, P<0.01). Increased betaine levels were independently associated with low risk of dysglycemia in CAD after adjustment for multiple traditional risk factors (OR = 0.04, 95% CI: 0–0.37, P=0.01). Furthermore, betaine had good performance at distinguishing CAD with dysglycemia from normal glycemia CAD (AUC = 0.62, P<0.01).

Conclusion: Plasma betaine levels are independently and inversely associated with dysglycemia in CAD after adjustment for multiple factors, and may be useful for risk stratification of dysglycemia in CAD.