Association between chest computed tomography features and prognosis in patients treated with extracorporeal cardiopulmonary resuscitation
0.5847/wjem.j.1920-8642.2025.083
- Author:
Gannan Wang
1
Author Information
1. Department of Emergency, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
- Publication Type:Journal Article
- Keywords:
Cardiac arrest, Chest computed tomography, Extracorporeal cardiopulmonary resuscitation, Prognosis
- From:
World Journal of Emergency Medicine
2025;16(6):567-572
- CountryChina
- Language:English
-
Abstract:
BACKGROUND: Previous studies have reported that early computed tomography (CT) findings significantly contribute to the outcomes of cardiac arrest (CA) patients. This study aims to evaluate the association between chest CT features and prognosis in CA patients treated with extracorporeal cardiopulmonary resuscitation (ECPR).
METHODS: A retrospective observational study was conducted on adult CA patients treated with ECPR in a tertiary hospital between March 2015 and June 2023. All the patients underwent a whole-body CT scan within 1 h of ECPR. Data regarding demographic and clinical characteristics were collected from electronic medical records. The presence of gravity-dependent distribution and CT scores based on chest CT scans were determined for each patient. The primary outcome was 28-day survival. Receiver operating characteristic (ROC) curves were used to evaluate the ability of chest CT features (gravity-dependent distribution and CT scores) to predict poor outcomes. The cut-off value of the CT score was determined. Kaplan-Meier curves were used to compare 28-day survival between the low- and high-CT score groups, which were classified using the estimated cut-off value.
RESULTS: Among the 100 patients included, 74 were non-survivors. The non-survivor patients showed a higher presence of gravity-dependent distribution and higher CT scores than survivors (P<0.05). Patients with gravity-dependent distribution had significantly higher CT scores than those with non-gravity-dependent distribution (P<0.05). The combination of CT score and gravity-dependent distribution predicted poor outcomes better than considering the features individually, demonstrating moderate performance (AUC: 0.693, 95% CI: 0.568-0.801). According to the survival analysis, the risk of death increased as the CT score rose, with an estimated cut-off value of ≥ 11 (P=0.016).
CONCLUSION: Chest CT features were associated with poor outcomes in CA patients following ECPR.
