Quality of Life of Chronic Heart Failure Patients During and After COVID-19: Observational Study Using EuroQoL-Visual Analogue Scales.

BACKGROUND Chronic diseases affect both the mental and physical health of patients. An acute infection can further deteriorate it. The multi-organ damage and acute respiratory distress caused by coronavirus leads to worsening of the previously stable state of chronic diseases. MATERIAL AND METHODS The aim of our study was to compare the quality of life during pre-acute-post-COVID-19 infection status of chronic heart failure (CHF) patients based on responses on the EuroQoL-visual analogue scales (EQ VAS). Patients suffering from CHF and a COVID-19 infection were included in our study. EuroQoL questionnaires responses were recorded at 3 time-points (Q1 before COVID-19 infection, Q2 during an acute episode of COVID-19, and Q3 at 6 months after COVID infection). The statistical analysis was carried out both in a cross-sectional view for each time-point and longitudinally. The non-parametric Mann-Whitney test for independent series was applied in the case of subgroup comparison, and the Wilcoxon signed ranks test was used in the longitudinal study. RESULTS Based on the responses given by the patients, there was decline in QoL noted in all patients, mainly in females, included in our study during the acute phase of the infection, as compared to their pre-COVID-19 admission for a follow-up for their heart disease (Q1: 78.89 vs Q2: 66.11 in males and Q1: 71.54 vs Q2: 49.6 in females, p=0.015 for Q2). Improvement was noted in the evaluation done after 6 months to the acute episode, although the values failed to attain to that of the initial pre-COVID-19 analysis, with Q3: 71.92 in males and 70.56 in females. CONCLUSIONS Understanding these implications can guide healthcare interventions for better management and support, particularly in the context of pre-existing chronic conditions exacerbated by acute infections like COVID-19. The results may prompt further research into the long-term effects of COVID-19 on individuals with chronic diseases, guiding future studies to explore specific interventions or preventive measures. QoL during the acute phase of COVID-19 infection is affected on a larger extent as compared to previous analysis in chronic heart failure patients. Larger studies with a longer time span can indicate the time duration required for CHF patients to attain the pre-COVID-19 QoL status. Developing methods to increase the accuracy of QoL evaluation can further reduce the bias witnessed, especially in previously unhealthy subjects. The study’s findings could inform healthcare providers about the heightened risk and specific challenges faced by chronic heart failure patients during and after a COVID-19 infection. Policymakers can use these findings to develop targeted public health policies aimed at protecting and supporting individuals with chronic conditions during and after infectious outbreaks, ensuring comprehensive healthcare strategies.

The Benefits of a Comprehensive Cardiac Rehabilitation Program for Patients with Acute Coronary Syndrome: A Follow-Up Study.

BACKGROUND AND OBJECTIVES: Secondary prevention after acute coronary syndrome (ACS) is essential to reduce cardiovascular mortality and hospital readmission, ensuring patients return to normal with an improved quality of life. Thus, we investigate the benefits of a comprehensive cardiac rehabilitation (CR) program on lifestyle, risk factors and adherence to guideline-directed medical therapy (GDMT) in patients after ACS and myocardial revascularization through coronary artery by-pass grafting (CABG) or percutaneous coronary intervention (PCI). METHODS: This is a prospective, longitudinal study in consecutive post-CABG or PCI patients after ACS that participated or not in a comprehensive CR. Cardiovascular risk factors, quality of life and adherence to GDMT were analyzed in terms of assessing the benefit of 12 months of comprehensive CR on reaching guidelines secondary prevention targets. RESULTS: At the inclusion in comprehensive CR of all patients (n = 480), 85% had hypertension; 86% had elevated total cholesterol values; 69% were characterized by metabolic syndrome; 43% were obese; 31% were active smokers and 29% had type 2 diabetes mellitus. Only 26.66% (n = 128) followed the entire program for 12 months. No statistically significant differences in the prescription of GDMT at hospital discharge after myocardial revascularization between the CR (+) group (n = 128) versus CR (-) group (n = 352) (p > 0.05) were observed. After 12 moths, a significant adherence to GDMT in the CR (+) group vs. CR (-) group was recorded, as follows: antiplatelet agents (100% versus 96%, p = 0.001), beta-blockers (99% versus 92%, p = 0.02), ACE inhibitors/ARAB (89% versus 79%, p = 0.04), lipid-lowering drugs (100% versus 89%, p = 0.001). In total, 82% of the CR (+) patients had a significantly higher adherence at GDMT (82% versus 64%, p = 0.001). At 12 moths, the CR (+) group was characterized by significantly lower values than at the inclusion but some values still increased: systolic blood pressure (139.25 + 19.20 mmHg (p < 0.03)), total cholesterol (171.07 + 48.59 mg/dL (p = 0.0001)) and LDL-cholesterol (102.83 + 41.30 mg/dL (p = 0.009)). At the same time, the analysis of psychosocial factors using the HAD questionnaire revealed a statistically significant improvement in anxiety and depression scores: HAD-A score (9.1 ± 3.7 at T0 vs. 7.1 ± 4.2 at T1, p = 0.001) and HAD-D score (7.7 ± 3.19 at T0 vs. 6.4 ± 4.3 at T1, p = 0.003). A multivariable analysis, following GDMT, showed the actual value or information and training of patients regarding optimal cardiovascular risk factor control was independently associated with lower values of systolic blood pressure (R2 = 0.48), diastolic (R2 = 0.38), serum glucose (R2 = 0.48), glycated hemoglobin (R2 = 0.50), total cholesterol (R2 = 0.31), LDL-cholesterol (R2 = 0.30), HDL-cholesterol (R2 = 0.19) and serum triglycerides (R2 = 0.20). CONCLUSION: The twelve-month participation of post-ACS patients in comprehensive CR resulted in excellent post-revascularization management, as well as good adherence to guideline-directed medical therapy, provided further confirmation of the benefit of secondary prevention. Despite high adherence to drug treatments, targets for blood pressure, total cholesterol and LDL-cholesterol are inadequately achieved. Therefore, in the era of personalized medicine, patients with ACS should benefit from specific, comprehensive cardiovascular recovery programs that contain physiotherapists, psychologists, nutritionists and an experienced cardiologist in cardiovascular rehabilitation.

Assessment of the Impact of Alcohol Consumption Patterns on Heart Rate Variability by Machine Learning in Healthy Young Adults.

Background and Objectives: Autonomic nervous system (ANS) dysfunction is present in early stages of alcohol abuse and increases the likelihood of cardiovascular events. Given the nonlinear pattern of dynamic interaction between sympathetic nervous system (SNS) and para sympathetic nervous system (PNS) and the complex relationship with lifestyle factors, machine learning (ML) algorithms are best suited for analyzing alcohol impact over heart rate variability (HRV), because they allow the analysis of complex interactions between multiple variables. This study aimed to characterize autonomic nervous system dysfunction by analysis of HRV correlated with cardiovascular risk factors in young individuals by using machine learning. Materials and Methods: Total of 142 young adults (28.4 ± 4.34 years) agreed to participate in the study. Alcohol intake and drinking patterns were assessed by the AUDIT (Alcohol Use Disorders Identification Test) questionnaire and the YAI (Yearly Alcohol Intake) index. A short 5-min HRV evaluation was performed. Post-hoc analysis and machine learning algorithms were used to assess the impact of alcohol intake on HRV. Results: Binge drinkers presented slight modification in the frequency domain. Heavy drinkers had significantly lower time-domain values: standard deviation of RR intervals (SDNN) and root mean square of the successive differences (RMSSD), compared to casual and binge drinkers. High frequency (HF) values were significantly lower in heavy drinkers (p = 0.002). The higher low-to-high frequency ratio (LF/HF) that we found in heavy drinkers was interpreted as parasympathetic inhibition. Gradient boosting machine learner regression showed that age and alcohol consumption had the biggest scaled impact on the analyzed HRV parameters, followed by smoking, anxiety, depression, and body mass index. Gender and physical activity had the lowest impact on HRV. Conclusions: In healthy young adults, high alcohol intake has a negative impact on HRV in both time and frequency-domains. In parameters like HRV, where a multitude of risk factors can influence measurements, artificial intelligence algorithms seem to be a viable alternative for correct assessment.