Javascript must be enabled to continue!
Establishing an APACHE II Cut-off Score for Predicting Mortality in Post-Thoracotomy Patients: A Single-Center Cohort Analysis
View through CrossRef
Introduction: Thoracotomy represents a significant physiological challenge with considerable mortality risk. Early, objective risk stratification in the General Intensive Care Unit (GICU) is essential for guiding clinical management. This study sought to evaluate the utility of the Acute Physiology and Chronic Health Evaluation II (APACHE II) score as a prognostic tool in a heterogeneous post-thoracotomy population at a tertiary referral center in Southeast Asia.
Methods: A retrospective cohort study was conducted on 33 consecutive patients admitted to the GICU following thoracotomy between January and December 2024. The APACHE II score was calculated using the most deranged physiological values within the first 24 hours of admission. The primary outcome was in-hospital mortality. Statistical analyses included non-parametric tests for group comparisons, Spearman's rank correlation, and Receiver Operating Characteristic (ROC) curve analysis. A novel aspect of this study was the post-hoc stratification of the cohort by the primary surgical indication (malignancy versus non-malignancy) to explore sources of prognostic variability.
Results: The overall mortality rate was 27.3% (9 of 33 patients). Non-survivors had a significantly higher median APACHE II score than survivors (23 vs. 8; p < 0.001). A strong, positive correlation was observed between the APACHE II score and mortality (Spearman's ρ = 0.706; p < 0.001). ROC analysis demonstrated excellent discriminatory performance for the overall cohort, with an Area Under the Curve (AUC) of 0.956 (95% CI: 0.891–1.000). A score of ≥12.5 was identified as the optimal cut-off, yielding a sensitivity of 88.9% and specificity of 87.5%. Analysis of the APACHE II components revealed that mortality was primarily driven by derangements in neurological (GCS), renal (Creatinine), and acid-base (pH) parameters.
Conclusion: In this preliminary, single-center analysis, the initial 24-hour APACHE II score demonstrated potential as a powerful prognostic marker for in-hospital mortality following thoracotomy. A candidate cut-off score of ≥12.5 successfully identified a high-risk subgroup. However, given the study's significant limitations, including a small and heterogeneous sample, these findings should be interpreted as hypothesis-generating. They underscore the need for larger, prospective studies to validate this cut-off and to develop more refined prognostic models for specific subgroups of post-thoracotomy patients.
Title: Establishing an APACHE II Cut-off Score for Predicting Mortality in Post-Thoracotomy Patients: A Single-Center Cohort Analysis
Description:
Introduction: Thoracotomy represents a significant physiological challenge with considerable mortality risk.
Early, objective risk stratification in the General Intensive Care Unit (GICU) is essential for guiding clinical management.
This study sought to evaluate the utility of the Acute Physiology and Chronic Health Evaluation II (APACHE II) score as a prognostic tool in a heterogeneous post-thoracotomy population at a tertiary referral center in Southeast Asia.
Methods: A retrospective cohort study was conducted on 33 consecutive patients admitted to the GICU following thoracotomy between January and December 2024.
The APACHE II score was calculated using the most deranged physiological values within the first 24 hours of admission.
The primary outcome was in-hospital mortality.
Statistical analyses included non-parametric tests for group comparisons, Spearman's rank correlation, and Receiver Operating Characteristic (ROC) curve analysis.
A novel aspect of this study was the post-hoc stratification of the cohort by the primary surgical indication (malignancy versus non-malignancy) to explore sources of prognostic variability.
Results: The overall mortality rate was 27.
3% (9 of 33 patients).
Non-survivors had a significantly higher median APACHE II score than survivors (23 vs.
8; p < 0.
001).
A strong, positive correlation was observed between the APACHE II score and mortality (Spearman's ρ = 0.
706; p < 0.
001).
ROC analysis demonstrated excellent discriminatory performance for the overall cohort, with an Area Under the Curve (AUC) of 0.
956 (95% CI: 0.
891–1.
000).
A score of ≥12.
5 was identified as the optimal cut-off, yielding a sensitivity of 88.
9% and specificity of 87.
5%.
Analysis of the APACHE II components revealed that mortality was primarily driven by derangements in neurological (GCS), renal (Creatinine), and acid-base (pH) parameters.
Conclusion: In this preliminary, single-center analysis, the initial 24-hour APACHE II score demonstrated potential as a powerful prognostic marker for in-hospital mortality following thoracotomy.
A candidate cut-off score of ≥12.
5 successfully identified a high-risk subgroup.
However, given the study's significant limitations, including a small and heterogeneous sample, these findings should be interpreted as hypothesis-generating.
They underscore the need for larger, prospective studies to validate this cut-off and to develop more refined prognostic models for specific subgroups of post-thoracotomy patients.
Related Results
Blunt Chest Trauma and Chylothorax: A Systematic Review
Blunt Chest Trauma and Chylothorax: A Systematic Review
Abstract
Introduction: Although traumatic chylothorax is predominantly associated with penetrating injuries, instances following blunt trauma, as a rare and challenging condition, ...
Chest Wall Hydatid Cysts: A Systematic Review
Chest Wall Hydatid Cysts: A Systematic Review
Abstract
Introduction
Given the rarity of chest wall hydatid disease, information on this condition is primarily drawn from case reports. Hence, this study systematically reviews t...
Sequential Organ Failure Assessment (SOFA) score for predicting mortality in patients with sepsis in Vietnamese intensive care units: A multicentre, cross-sectional study
Sequential Organ Failure Assessment (SOFA) score for predicting mortality in patients with sepsis in Vietnamese intensive care units: A multicentre, cross-sectional study
ABSTRACT
Objectives
To compare the accuracy of the SOFA and APACHE II scores in predicting mortality among ICU patients with se...
Frequency of Common Chromosomal Abnormalities in Patients with Idiopathic Acquired Aplastic Anemia
Frequency of Common Chromosomal Abnormalities in Patients with Idiopathic Acquired Aplastic Anemia
Objective: To determine the frequency of common chromosomal aberrations in local population idiopathic determine the frequency of common chromosomal aberrations in local population...
Predictive accuracy of APACHE II score in predicting mortality in poly Trauma patients.
Predictive accuracy of APACHE II score in predicting mortality in poly Trauma patients.
Objective: To find diagnostic precision of APACHE II score in predicting mortality in poly Trauma patients within first 24 hours of hospitalization. Study Design: Cross Sectional s...
Pediatric Pilonidal Sinus Disease: A Single-Center Cohort Study of Clinical and Surgical Outcomes
Pediatric Pilonidal Sinus Disease: A Single-Center Cohort Study of Clinical and Surgical Outcomes
Abstract
Introduction: Pilonidal sinus disease is increasingly recognized in the pediatric population, yet evidence on its clinical characteristics and surgical outcomes in childre...
Predictive accuracy of Apache-II for mortality in Poly Trauma patients.
Predictive accuracy of Apache-II for mortality in Poly Trauma patients.
Objectives: The objective of our study was to find diagnostic accuracy of APACHE-II score to predict mortality in poly trauma patients within first 24 hours of hospitalization. Stu...
Validity of Acute Physiology and Chronic Health Evaluation (APACHE) IV for the Prediction of Prolonged Intensive Care Unit (ICU) Length of Stay in Dr. Sardjito General Hospital in the COVID Era
Validity of Acute Physiology and Chronic Health Evaluation (APACHE) IV for the Prediction of Prolonged Intensive Care Unit (ICU) Length of Stay in Dr. Sardjito General Hospital in the COVID Era
Introduction: APACHE IV was a good predictor of ICU length of stay in the USA and some countries outside the USA but poor in others. It is important to develop a scoring system for...

