A RETROSPECTIVE COHORT STUDY EXAMINING THE RELATIONSHIP BETWEEN 30-DAY MORTALITY AND HIGH-SENSITIVITY TROPONIN T LEVELS BEFORE AND AFTER CARDIAC SURGERY.
DOI:
https://doi.org/10.51168/sjhrafrica.v6i3.1613Keywords:
High-Sensitivity Troponin T, Cardiac Surgery, Postoperative Outcomes, 30-Day MortalityAbstract
Background:
Elevated troponin levels have been linked to adverse outcomes in cardiac surgery patients, but the specific impact of high-sensitivity troponin T (hs-TnT) measured before and after surgery on short-term mortality remains unclear. This study analyses a retrospective cohort to determine the reliability of hs-TnT readings as early mortality prognostic markers and their potential to improve perioperative treatment.
Methods:
In this retrospective cohort analysis, we examined 200 heart surgery patients at the Indira Gandhi Institute of Medical Sciences, Patna, over 24 months (January 2023 – January 2025). After controlling for age, gender, operation type, and comorbidities, we investigated preoperative and postoperative hs-TnT levels and 30-day mortality.
Results:
This retrospective study of 200 cardiac surgery patients (mean age 63 years) demonstrated that elevated postoperative hs-TnT levels above 150 ng/L were associated with a significantly higher risk of 30-day mortality, with an odds ratio of 4.5 (p < 0.001). Preoperative hs-TnT levels did not show a significant correlation with mortality. When adjusted for confounding factors, the highest quartile of postoperative hs-TnT levels was linked to a 4-fold increased mortality risk (adjusted OR = 4.0, p = 0.003). These findings suggest that monitoring hs-TnT levels post-surgery could be critical for predicting early mortality in cardiac surgery patients.
Conclusion:
Elevated postoperative hs-TnT levels are a strong predictor of 30-day mortality in cardiac surgery patients. Monitoring hs-TnT levels could be essential for identifying at-risk patients and enhancing postoperative care.
Recommendation:
Postoperative hs-TnT levels should be routinely monitored to predict 30-day mortality risk in cardiac surgery patients.
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