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Background: Heart failure (HF) is a global health challenge affecting millions, with significant variations in patient characteristics and outcomes based on ejection fraction. This study aimed to differentiate between HF with reduced ejection fraction (HFrEF) and HF with preserved ejection fraction (HFpEF) with respect to patient characteristics, risk factors, comorbidities, and clinical outcomes, incorporating advanced machine learning models for mortality prediction. Methodology: The study included 1861 HF patients from 21 centers in Jordan, categorized into HFrEF (EF <40%) and HFpEF (EF ≥ 50%) groups. Data were collected from 2021 to 2023, and machine learning models were employed for mortality prediction. Results: Among the participants, 29.7% had HFpEF and 70.3% HFrEF. Significant differences were noted in demographics and comorbidities, with a higher prevalence of males, younger age, smoking, and familial history of premature ASCVD in the HFrEF group. HFpEF patients were typically older, with higher rates of diabetes, hypertension, and obesity. Machine learning analysis, mainly using the Random Forest Classifier, demonstrated significant predictive capability for mortality with an accuracy of 0.9002 and an AUC of 0.7556. Other models, including Logistic Regression, SVM, and XGBoost, also showed promising results. Length of hospital stay, need for mechanical ventilation, and number of hospital admissions were the top predictors of mortality in our study. Conclusion: The study underscores the heterogeneity in patient profiles between HFrEF and HFpEF. Integrating machine learning models offers valuable insights into mortality risk prediction in HF patients, highlighting the potential of advanced analytics in improving patient care and outcomes.
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INTRODUCTION: There is inadequate evidence to recommend the use of any traditional and complementary medicine (T&CM) methods such as vitamin, mineral, herbal or other dietary supplements to prevent or treat COVID 19. Members of the medical team are particularly at risk of exposure to high viral load of coronavirus. They have also the best access to professional information regarding disease treatment and prophylaxis and disseminate such knowledge. The aim of the study was to assess the prevalence of use of T&CM for the prophylaxis of COVID 19 among the healthcare professionals and students in Jordan, along with the most common types and the factors associated with T&CM use. METHODOLOGY: A cross-sectional study of T&CM use was conducted in Jordan using a snowball sampling method to distribute Google Forms and to enrol participants during coronavirus outbreak between June 10, 2021, and August 28, 2021. The study included healthcare professionals or students who consented to participate in the survey. The survey excluded those participants who had filled the questionnaire at least once or were pregnant/breast-feeding at the time of the study. The questionnaire consisted of 29 items, including screening, checkbox, dichotomous, matrix and open-ended questions. RESULTS: The response rate was 97.1%. Out of 560 study respondents, 359 (64.1%) reported using T&CM for COVID 19 prevention. Vitamins and nutrients were consumed by almost half (48.4%) of study participants, while nonpharmacological methods and herbal remedies were consumed by 35.2% and 25.2%, respectively. The most common source of information regarding T&CM use for COVID 19 prophylaxis included scientific publications (59.5%), followed by disease treatment guidelines (38.0%) and social media (32.3%). Adverse effects were reported by 8.5% and possible adverse effects were reported by another 8.5% of participants. The T&CM use was associated with working in contact with COVID 19 patients (OR: 1.625 (95% CI 1.047-2.523) (P = 0.03) and having a colleague as a source of information (OR: 1.720 (95% CI 1.026-2.883) (P = 0.04). CONCLUSIONS: The prevalence of T&CM use for COVID 19 prevention among healthcare professionals and students in Jordan is high, with a significant proportion of participants reporting adverse effects. There is an urgent need for further research toward efficacy and safety of T&CM in COVID 19 prophylaxis as well as development of appropriate public health policy on this issue specific to each country.