Mental health status and quality of life in elderly patients with coronary heart disease

Prediction of Atrial Fibrillation in Hospitalized Elderly Patients With Coronary Heart Disease and Type 2 Diabetes Mellitus Using Machine Learning: A Multicenter Retrospective Study

Background

The objective of this study was to use machine learning algorithms to construct predictive models for atrial fibrillation (AF) in elderly patients with coronary heart disease (CHD) and type 2 diabetes mellitus (T2DM).

Methods

The diagnosis and treatment data of elderly patients with CHD and T2DM, who were treated in four tertiary hospitals in Chongqing, China from 2015 to 2021, were collected. Five machine learning algorithms: logistic regression, logistic regression+least absolute shrinkage and selection operator, classified regression tree (CART), random forest (RF) and extreme gradient lifting (XGBoost) were used to construct the prediction models. The area under the receiver operating characteristic curve (AUC), sensitivity, specificity, and accuracy were used as the comparison measures between different models.

Results

A total of 3,858 elderly patients with CHD and T2DM were included. In the internal validation cohort, XGBoost had the highest AUC (0.743) and sensitivity (0.833), and RF had the highest specificity (0.753) and accuracy (0.735). In the external verification, RF had the highest AUC (0.726) and sensitivity (0.686), and CART had the highest specificity (0.925) and accuracy (0.841). Total bilirubin, triglycerides and uric acid were the three most important predictors of AF.

Conclusion

The risk prediction models of AF in elderly patients with CHD and T2DM based on machine learning algorithms had high diagnostic value. The prediction models constructed by RF and XGBoost were more effective. The results of this study can provide reference for the clinical prevention and treatment of AF.

Health-Related Quality of Life and Its Influencing Factors in Patients with Coronary Heart Disease in China

PURPOSE

This study aimed to comprehensively evaluate Chinese coronary heart disease (CHD) patients' health-related quality of life (HRQoL) using various measures and explore influencing factors associated with HRQoL.

METHODS

A cross-sectional study was conducted from April to September 2019 in the General Hospital of Tianjin Medical University. A convenience sampling framework was used to successively recruit 316 inpatients with CHD. Two generic preference-based instruments (EQ-5D-5L and 15D), a disease-specific instrument (Seattle Angina Questionnaire, SAQ), and the WHO-5 well-being index (WHO-5) were administered. Tobit regression model and multiple linear regression were used for data analyses.

RESULTS

A total of 305 patients (mean age was 62.9) with CHD participated in this study. The mean health state utility (HSU) scores of EQ-5D-5L and 15D were 0.85 (SD=0.14) and 0.89 (SD=0.07), respectively. For EQ-5D-5L, pain/discomfort was the most frequently reported, followed by anxiety/depression. As for 15D, discomfort and symptoms was the most severely impaired dimension. For SAQ, more limitations were found in the domains of angina stability and disease perception. For WHO-5, the mean score was 16.93. Marital status, disease state and comorbidity were influencing factors associated with HRQoL, patient's subjective well-being had a positive impact on HRQoL.

CONCLUSION

To improve the HRQoL of CHD patients in China, more attention needs to be paid to unmarried and relapsed patients, especially those with comorbidity of hypertension. Additionally, more social support and psychological counseling should be provided to patients.

Knowledge, attitudes, and barriers related to medication adherence of older patients with coronary heart disease in China

OBJECTIVES

To investigate the knowledge, attitudes, and barriers related to medication adherence in older patients with coronary heart disease (CHD).

METHODS

A total of 272 older patients with CHD were investigated by the Chinese version of the Medication Adherence Scale. The score ranges for the knowledge, attitudes, and barrier subscales were 0-30, 0-30, and 0-110, respectively. Higher scores indicate more knowledge, positive attitudes, and more barriers related to medication adherence.

RESULTS

The median scores of knowledge, attitudes and barriers were 25.5, 28, and 8, respectively. Having stents, living alone, good financial status and fewer chronic diseases were related to more knowledge. Younger age, having no stent, and more chronic diseases were associated with more barriers. Patients with good financial status and higher age had more positive attitudes.

CONCLUSIONS

Understanding older patients' knowledge, attitudes, and barriers related to medication adherence and their associated factors can help develop tailored interventions in medication adherence studies.

Characteristic analysis of clinical coronary heart disease and coronary artery disease concerning young and middle-aged male patients

BACKGROUND

Coronary heart disease (CHD) is a type of coronary atherosclerotic heart disease. In recent years, the incidence of CHD has been increasing annually, with an increasing number of young patients. Severe CHD may cause severe myocardial ischemia or myocardial necrosis, which in turn may cause myocardial infarction and related complications that seriously affect the life and health of the patient.

AIM

To examine the coronary arteries and clinical features of young and middle-aged male patients with CHD.

METHODS

From February 2019 to January 2020, 110 male CHD patients admitted to our hospital were selected as research subjects and were divided into two groups by age: middle-aged group (n = 55) and young group (n = 55). The coronary arteries and clinical features of the patients were compared.

RESULTS

There were no significant differences in dyslipidemia, stroke history, high-density lipoprotein cholesterol, or triacylglycerol (P > 0.05) between the two groups. In the young group, age, diabetes, hypertension, smoking history, body mass index, family history of CHD, drinking history, fibrinogen, low-density lipoprotein cholesterol, total cholesterol, and single-vessel disease were higher than those in the middle-aged group. Correspondingly, serum uric acid, hyperuricemia, myocardial infarction, Gensini score > 50, collateral circulation, multivessel disease, double vessel disease, involvement of the right coronary artery, and involvement of the left main coronary artery were lower in the young group than in the middle-aged group. The middle-aged group mainly suffered from a high Gensini score, implicating multiple arteries, whereas the young group was mainly affected by single-vessel disease. The between-group difference was significant (P < 0.05).

CONCLUSION

In CHD attacks, multiple coronary arteries are implicated in middle-aged male patients and single-vessel disease in young male patients.