Alsen Arlan
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Predicting Mortality in Gastric Perforation: A Comparative Analysis of Boey Score and Mannheim Peritonitis Index Accuracy in an Indonesian Tertiary Hospital Bobi Wijaya; Alsen Arlan; Theodorus
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.v8i1.124

Abstract

Introduction: Peptic ulcer perforation (PUP), often leading to gastric perforation, represents a significant surgical emergency demanding rapid intervention. Effective risk stratification using prognostic scoring systems is crucial for optimizing patient management and improving outcomes. This study aimed to evaluate and compare the predictive performance of the Mannheim Peritonitis Index (MPI) and the Boey Score in estimating in-hospital mortality risk among patients presenting with gastric perforation at a tertiary hospital in Indonesia. Methods: A retrospective descriptive study employing an accuracy testing design was conducted. Data were collected from the medical records of 31 adult patients (≥18 years) who underwent exploratory laparotomy for non-traumatic gastric perforation at Dr. Mohammad Hoesin General Hospital Palembang, between January 2023 and December 2024. Patients with incomplete medical records were excluded. Boey Scores and MPI scores were calculated for each patient based on predefined criteria. The primary outcome measured was in-hospital mortality. Statistical analysis included descriptive statistics, calculation of sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy, and Receiver Operating Characteristic (ROC)1 curve analysis to determine optimal cutoff values. Results: The median age was 62 years, with a male predominance (87.1%). Most patients presented late (>24 hours post-perforation, 90.3%) and had organ dysfunction (80.6%). Preoperative shock was present in 48.4%. The optimal cutoff for MPI predicting mortality was ≥22, yielding a sensitivity of 87.5% and specificity of 40.0%. The optimal Boey Score cutoff was ≥2, with a sensitivity of 75.0% and specificity of 53.3%. Comparing MPI (cutoff ≥22) against Boey Score (cutoff ≥2) as a reference, the MPI demonstrated an accuracy of 74.19%, sensitivity of 73.91%, specificity of 75.00%, PPV of 89.47%, and NPV of 50.00%. Conclusion: Both the Boey Score and MPI showed moderate predictive performance for in-hospital mortality in patients with gastric perforation in this cohort. MPI (cutoff ≥22) demonstrated higher sensitivity for identifying high-risk patients compared to the Boey Score (cutoff ≥2), although with lower specificity regarding mortality itself. MPI appears advantageous for identifying high-risk individuals, while the simpler Boey Score remains useful for rapid initial assessment.
A Preliminary Retrospective Analysis of the Blunt Abdominal Trauma Scoring System (BATSS) in a High-Prevalence Cohort: A Single-Center Indonesian Experience Akbar Rizky Wicaksana; Alsen Arlan; Theodorus
Sriwijaya Journal of Surgery Vol. 8 No. 2 (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.v8i2.136

Abstract

Introduction: The triage of blunt abdominal trauma (BAT) is a critical challenge, and the utility of clinical scoring systems like the blunt abdominal trauma scoring system (BATSS) requires validation in diverse clinical settings. This study aimed to provide a preliminary, critical appraisal of the BATSS's diagnostic performance and the behavior of its individual components in a unique, high-risk cohort at a tertiary Indonesian trauma center. Methods: A retrospective analysis was conducted on 37 BAT patients who underwent definitive diagnostic evaluation (CT scan or laparotomy) between July 2021 and July 2025 in Palembang, Indonesia. The cohort was noted to have a significant selection bias, with an intra-abdominal injury (IAI) prevalence of 91.9% (34 injured, 3 uninjured). A component-level analysis of the seven BATSS variables was performed alongside a standard diagnostic accuracy assessment using an ROC curve to determine the optimal cut-off. Results: The cohort was predominantly young males injured in traffic accidents. The ROC analysis demonstrated poor discriminatory power (AUC = 0.525). At an optimal cut-off of 8.5, BATSS showed a sensitivity of 82.4% and a statistically unstable specificity of 33.3% (95% CI: 0.8% to 90.6%). The PPV was 93.3%, while the NPV was critically low at 14.3%. Component analysis revealed that sensitivity was primarily driven by high-point variables like a positive FAST scan, while low specificity was associated with non-specific signs like abdominal tenderness. Conclusion: In this high-prevalence, pre-selected cohort, BATSS failed to perform as a reliable triage tool. Its poor specificity and dangerously low NPV render it unsuitable and unsafe for ruling out IAI. The score's apparent sensitivity was driven by variables that already indicate a high-risk patient, suggesting the score adds little value to standard clinical assessment. This preliminary study highlights the critical need for robust, large-scale validation before clinical adoption and suggests BATSS may be inappropriate for settings with a high pre-test probability of injury.