| Title: |
A predictive model for intracranial hemorrhage in adult patients receiving extracorporeal membrane oxygenation. |
| Authors: |
Yi Zhu; Lina Mao; Zhongman Zhang; Sae Rom Lee; Tianshi Li; Hao Zhou; Yanbin Dong; Di An; Wei Li; Xufeng Chen |
| Source: |
World Journal of Emergency Medicine; Mar2025, Vol. 16 Issue 2, p153-160, 8p |
| Subject Terms: |
INTRACRANIAL hemorrhage; EXTRACORPOREAL membrane oxygenation; RISK assessment; HOSPITAL mortality; DEATH rate; LOGISTIC regression analysis; BLOOD volume; PREDICTION models |
| Abstract: |
BACKGROUND: Intracranial hemorrhage (ICH), a severe complication among adults receiving extracorporeal membrane oxygenation (ECMO), is often related to poor outcomes. This study aimed to establish a predictive model for ICH in adults receiving ECMO treatment. METHODS: Adults who received ECMO between January 2017 and June 2022 were the subjects of a single-center retrospective study. Patients under the age of 18 years old, with acute ICH before ECMO, with less than 24 h of ECMO support, and with incomplete data were excluded. ICH was diagnosed by a head computed tomography scan. The outcomes included the incidence of ICH, in-hosptial mortality and 28-day mortality. Multivariate logistic regression analysis was used to identify relevant risk factors of ICH, and a predictive model of ICH with a nomogram was constructed. RESULTS: Among the 227 patients included, 22 developed ICH during ECMO. Patients with ICH had higher in-hospital mortality (90.9% vs. 47.8%, P=0.001) and higher 28-day mortality (81.8% vs. 47.3%, P=0.001) than patients with non-ICH. ICH was associated with decreased grey-white-matter ratio (GWR) (OR=0.894, 95%CI: 0.841-0.951, P |
| : |
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| Database: |
Complementary Index |