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1.
Ann Med Surg (Lond) ; 86(3): 1506-1516, 2024 Mar.
Article in English | MEDLINE | ID: mdl-38463133

ABSTRACT

Human monkeypox, caused by the monkeypox virus (MPXV), is an emerging infectious disease with the potential for human-to-human transmission and diverse clinical presentations. While generally considered milder than smallpox, it can lead to severe cardiovascular complications. The virus primarily spreads through contact with infected animals or through human-to-human transmission. Cardiovascular involvement in human monkeypox is rare but has been associated with myocarditis, pericarditis, arrhythmias, and even fulminant myocardial infarction. Vaccination plays a crucial role in preventing and controlling monkeypox, but the eradication of smallpox has left global populations vulnerable. This review explores the cardiovascular manifestations of human monkeypox, the role of vaccination in disease prevention, and the importance of continued research and development of effective vaccines to protect against this emerging infectious threat. The global impact of monkeypox outbreaks, particularly on vulnerable populations, further highlights the importance of understanding and addressing this disease.

2.
Catheter Cardiovasc Interv ; 102(7): 1155-1161, 2023 12.
Article in English | MEDLINE | ID: mdl-37925617

ABSTRACT

OBJECTIVE: The European Society of Cardiology (ESC) 0/1-h Algorithm with high-sensitivity cardiac troponin T (hs-cTnT) has shown promising results in risk stratification and management of patients with coronary artery disease (CAD). However, its outcomes and clinical implications in the context of developing countries remain understudied. METHODS: This cohort study aimed to evaluate the outcomes and clinical significance of the ESC 0/1-h Algorithm in a developing country setting. A total of 3534 patients with CAD were enrolled, with 1125 in the Rule-Out group and 2409 in the Rule-In group. Baseline characteristics, performance metrics, primary and secondary outcomes, and predictors of Rule-In and Rule-Out groups were assessed. RESULTS: The study enrolled 3534 patients with CAD, with 1125 in the Rule-Out group and 2409 in the Rule-In group. The 0/1-h Algorithm with hs-cTnT demonstrated improved performance compared to Troponin T at Presentation. It exhibited higher sensitivity, specificity, negative predictive value, positive predictive value, and area under the curve (AUC) for risk stratification in patients with CAD. Significant differences were observed in baseline characteristics between the Rule-Out and Rule-In groups, including age, gender, and comorbidities. The Rule-In group had a higher incidence of adverse cardiac events and underwent more invasive procedures compared to the Rule-Out group. Age, gender, hypertension, diabetes, and smoking were identified as significant predictors of Rule-In and Rule-Out. These findings highlight the clinical significance of implementing the 0/1-h Algorithm in the management of patients with CAD in a developing country setting. CONCLUSION: The algorithm's performance, along with its ability to identify high-risk patients and predict outcomes, highlights its potential to enhance patient care and outcomes in resource-limited settings.


Subject(s)
Cardiology , Coronary Artery Disease , Myocardial Infarction , Humans , Troponin T , Coronary Artery Disease/diagnostic imaging , Coronary Artery Disease/therapy , Myocardial Infarction/epidemiology , Cohort Studies , Biomarkers , Prospective Studies , Treatment Outcome , Algorithms
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