Study population
We retrospectively screened T2DM patients aged 40 to 75 years with diagnosis of HFrEF (LVEF ≤ 40%) on hospitalization between September 2014 and May 2019 in Shanghai Ruijin Hospital, who underwent repeat echocardiograms at around 12-month follow-up. The exclusion criteria include: congenital heart disease, primary valvular disease, specific cardiomyopathy (e.g., hypertrophic, infiltrative, restrictive or right-ventricular cardiomyopathy), patients receiving implantable devices, mechanical circulatory support or heart transplantation. Based on initial and follow-up echocardiograms, patients were classified into HFrecEF (follow-up LVEF > 40% and absolute LVEF improvement ≥ 10%), and otherwise persistent HFrEF. Finally, 155 pairs of age- and sex-matched patients with HFrecEF and persistent HFrEF were enrolled in the final analysis.
This study complies with the Declaration of Helsinki. The study protocol was approved by the local hospital ethics committee, and written informed consent was obtained from all participants.
Clinical and biochemical assessments
The detailed information of medical history and lifestyles including smoking habits was obtained using a standard questionnaire by trained physicians. Body mass index (BMI) was calculated as weight/height2 (kilograms per square meter). Body surface area (BSA) was calculated by Stevenson’s formula: 0.0061 × height + 0.0128 × weight - 0.1529[17]. Blood pressure was measured on the non-dominant arm in seated position after a 10-minute rest. Three measurements were taken at 1-minute interval, and the average was used for analysis.
The diagnosis of T2DM was made according to the criteria of American Diabetes Association (symptoms of diabetes with casual plasma glucose concentration ≥ 200 mg/dL [11.1 mmol/L] or fasting plasma glucose ≥ 126 mg/dL [7.0 mmol/L], 2-hour postprandial glucose ≥ 200 mg/dL [11.1 mmol/L] during an oral glucose tolerance test, and currently or previously treated with insulin and/or oral hypoglycemic agents) [18].Hypertension was diagnosed according to seventh report of the Joint National Committee on prevention, detection, evaluation, and treatment of high blood pressure (JNC 7)[19].
All the blood samples were drawn after an overnight fasting. Blood HbA1c was measured using ion-exchange high performance liquid chromatography with Bio-rad Variant Hemoglobin Testing System (Bio-Rad Laboratories, USA). Plasma glucose, serum insulin, creatinine, total cholesterol, low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, triglycerides, N-terminal pro-B-type natriuretic peptide (NT-proBNP) were assessed (HITACHI 912 Analyzer, Roche Diagnostics, Germany). Serum levels of high-sensitivity C-reactive protein (hsCRP) were determined by ELISA (Biocheck Laboratories, Toledo, OH, USA). The estimated glomerular filtration rate (eGFR) was computed using the Chronic Kidney Disease Epidemiology Collaboration equation[20].
Echocardiographic examination
Comprehensive transthoracic echocardiography was performed on the time of hospitalization and at 12-month follow-up, using a commercially available system (Vivid-I, GE Healthcare, Milwaukee, WI) by a single sonographer credentialed in cardiac ultrasound. Two-dimensional echocardiography and Doppler flow imaging were recorded from standard parasternal and apical transducer positions.
LVEF was calculated using the modified Simpson’s biplane technique. The LV length was measured in the apical 4-chamber view. To facilitate application of clinical normality cut points, LV end-diastolic volume (LVEDV) and LV end-systolic volume (LVESV) were indexed by BSA calculated at each study time point. LV mass was estimated from M-mode measurements by the formula: LV mass = \(0.8\times 1.04\times \left[{\left(LVEDD+IVST+LVPWT\right)}^{3}-{LVEDD}^{3}\right]+0.6\), and was indexed by BSA, where LVEDD is LV end-diastolic diameter, IVST is interventricular septal thickness, LVPWT is LV posterior wall thickness.
Statistical analyses
Continuous variables were presented as median (interquartile range) or mean ± standard deviation, and categorical data were summarized as frequencies (percentages). For continuous variables, normal distribution was evaluated with Kolmogorov-Smirnov test. For non-normally distributed continuous variables, differences were analyzed by Mann-Whitney U test. Differences among groups were analyzed by Student’s t-test or one-way analysis of variance (ANOVA) followed by post hoc Bonferroni correction. Differences in categorical variables were analyzed by χ2 test. Univariate logistic regression analysis was performed to identify univariate predictors of HFrecEF. Afterwards, multivariate regression was performed by entering all the conventional risk factors and significant predictors in the univariate analysis after backward elimination. HbA1c was analyzed both as continuous and categorical variable in univariate and multivariate models. Restricted cubic splines were further used to evaluate the relationship between HbA1c and HFrecEF in the multivariate logistic regression model. Forest plot analysis was performed to show adjusted odds ratio (OR) of HbA1c level in association with HFrecEF in different subgroups. All statistical analyses were performed using the R statistical package v.4.0.3 (R Project for Statistical Computing, Vienna, Austria). A 2-tailed <0.05 was considered statistically significant.