Aswin Nugraha
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Impact of Prolonged Cardiopulmonary Bypass and Aortic Cross-Clamp Time on Postoperative Ventilator Dependency Following Mitral Valve Replacement Aswin Nugraha; Reizkhi Fitriyana; Erial Bahar
Sriwijaya Journal of Surgery Vol. 8 No. 1 (2025): Sriwijaya Journal of Surgery
Publisher : Surgery Department, Faculty of Medicine Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/sjs.v8i1.126

Abstract

Introduction: Mitral valve replacement (MVR) is a common procedure for severe mitral valve disease. Prolonged cardiopulmonary bypass (CPB) time and aortic cross-clamp (AOX) time during cardiac surgery are known to be associated with adverse postoperative outcomes, including prolonged mechanical ventilation. Understanding the predictive value of these intraoperative times specifically for ventilator dependency after MVR is crucial for risk stratification and patient management. This study aimed to determine the accuracy of CPB time and AOX time as predictors of postoperative ventilator duration in patients undergoing MVR at a tertiary referral hospital in Palembang, Indonesia. Methods: A retrospective cohort study was conducted using medical records of patients aged ≥ 18 years who underwent MVR between January 2022 and December 2024 at RSUP Dr. Mohammad Hoesin Palembang. Data from 79 patients meeting the inclusion criteria were analyzed. The primary independent variables were CPB time and AOX time (categorized using a 90-minute cut-off). The primary outcome was prolonged mechanical ventilation (defined as >24 hours). Secondary outcomes included ICU length of stay (>4 days) and in-hospital mortality. Statistical analysis involved Chi-square tests and multivariate logistic regression. Results: Prolonged CPB time (≥90 minutes) was observed in 62% of patients, and prolonged AOX time (≥90 minutes) in 45.6%. Both prolonged AOX time (OR 15.167, p=0.01) and prolonged CPB time (OR 8.88, p=0.01) were significantly associated with mechanical ventilation >24 hours. Multivariate analysis confirmed both AOX time (Adjusted OR 8.741, p=0.049) and CPB time (Adjusted OR 5.163, p=0.027) as independent predictors for prolonged ventilation. Significant associations were also found between prolonged AOX/CPB times and ICU stay >4 days (p=0.03 for both). No significant association was found between CPB/AOX times and in-hospital mortality (p=0.968 and p=0.206, respectively). Conclusion: Prolonged CPB time and AOX time are significant independent predictors of postoperative ventilator dependency exceeding 24 hours following MVR in this patient cohort. Minimizing these intraoperative durations may reduce the burden of prolonged mechanical ventilation.
Beyond Clinical Intuition: Quantitative Mortality Prediction in Blunt Thoracic Trauma using the Thoracic Trauma Severity Score (TTSS) Harief Seamaladi; Aswin Nugraha; Erial Bahar
Sriwijaya Journal of Surgery Vol. 8 No. 1 (2025): Sriwijaya Journal of Surgery
Publisher : Surgery Department, Faculty of Medicine Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/sjs.v8i1.127

Abstract

Introduction: Blunt thoracic trauma is a leading cause of significant morbidity and mortality, particularly in younger populations. Accurate and early prediction of mortality is crucial for guiding clinical management and resource allocation. This study aimed to move beyond subjective clinical assessment by evaluating the accuracy of the Thoracic Trauma Severity Score (TTSS) as an objective, quantitative tool for predicting in-hospital mortality in patients with blunt thoracic trauma in a specific regional trauma center. Methods: A retrospective cohort study was conducted at Dr. Mohammad Hoesin General Hospital, Palembang, Indonesia. Data from 38 patients admitted with blunt thoracic trauma between January 2023 and January 2025 were analyzed. The TTSS was calculated for each patient based on five parameters: age, number of rib fractures, presence of bilateral rib fractures, extent of pulmonary contusion (assessed by chest X-ray), and the PaO2​/FiO2​ ratio (from arterial blood gas analysis). The primary outcome was in-hospital mortality. Receiver Operating Characteristic (ROC) curve analysis was used to determine the predictive accuracy of the TTSS, including the Area Under the Curve (AUC), sensitivity, specificity, and optimal cut-off value. Bivariate analysis using the chi-square test was performed. Results: Of the 38 patients, 76.3% (n=29) were male. The mortality rate was 15.8% (n=6). The ROC curve analysis for TTSS in predicting mortality yielded an AUC of 0.727 (95% CI: 0.447–1.000; p = 0.082). At an optimal cut-off value of 10.5, the TTSS demonstrated a sensitivity of 66.6% and a specificity of 71.8% for mortality prediction. Patients with TTSS >7 had a significantly higher proportion of mortality (83% of deaths occurred in this group) compared to those with TTSS $\leq$7. Conclusion: The Thoracic Trauma Severity Score (TTSS) showed fair predictive accuracy for in-hospital mortality in patients with blunt thoracic trauma in this study setting. While demonstrating reasonable sensitivity at a cut-off of 10.5, its specificity was also moderate. The TTSS can serve as a useful quantitative adjunct to clinical judgment, aiding in the early identification of patients at higher risk, though its limitations, particularly the modest specificity and non-significant p-value for AUC in this cohort, warrant cautious interpretation and highlight the need for further validation in larger, multicenter studies.