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A Porcine Model of Acute Autologous Pulmonary Embolism
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A Retrospective Perspective: Evaluating Pulmonary Embolism Risk Factors and Survival Trends
Saba Beigh1, Saleh Alzahrani2, Weim Ahmed1
1Department of Public Health, College of Applied Medical Sciences, Al-Baha University, Al-Baha, Saudi Arabia.
Annals of African Medicine
|June 27, 2025
Summary
Older age and existing health conditions significantly increase mortality risk in pulmonary embolism (PE) patients. Tailored treatments improve survival rates for this serious condition.
Area of Science:
- Cardiology
- Pulmonology
- Medical Research
Background:
- Pulmonary embolism (PE) is a critical condition associated with high morbidity and mortality.
- Demographic, clinical, and treatment factors significantly influence PE outcomes.
- Understanding these factors is crucial for enhancing patient care and management strategies.
Purpose of the Study:
- To conduct a comprehensive review of patients diagnosed with PE.
- To investigate the impact of age, gender, comorbidities, and treatments on PE survival and disease progression.
- To identify key predictors influencing patient outcomes in PE.
Main Methods:
- Retrospective analysis of patient records from an advanced care hospital.
- Systematic data collection and analysis of demographic, clinical, and treatment information.
- Statistical analysis using SPSS/PC and Chi-square tests (P < 0.05) to identify significant correlations.
Main Results:
- Advanced age (over 65) and the presence of comorbidities (cardiovascular, respiratory) are significantly associated with higher PE mortality.
- Specific medical treatments demonstrated a positive correlation with improved survival rates.
- Demographic and clinical factors play a critical role in determining patient outcomes.
Conclusions:
- Age and comorbidities are identified as significant risk factors for mortality in pulmonary embolism.
- Personalized treatment strategies and timely clinical interventions are essential for improving patient survival.
- The study highlights the need for targeted interventions based on individual patient profiles.
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