Prediction of intracerebral hemorrhage in patients with out-of-hospital cardiac arrest using post-resuscitation electrocardiogram: An observational cohort study

AIM: We evaluated the characteristics of patients with intracerebral hemorrhage in nontraumatic out-of-hospital cardiac arrests (OHCA) after return of spontaneous circulation (ROSC) to identify patients who required brain computed tomography as the next diagnostic workup. METHODS: We conducted a retrospective cohort study on 1303 consecutive patients with nontraumatic OHCA who were admitted to Miyazaki Prefectural Nobeoka Hospital between 2008 and 2020. Among these, 454 patients achieved sustained ROSC. We excluded 126 patients with obvious extracardiac causes. Clinical and demographic characteristics of patients and post-resuscitation 12-lead electrocardiogram were compared. Patients were categorized into the intracerebral hemorrhage (n = 32, 10%) and no intracerebral hemorrhage group (n = 296). All causes of intracerebral hemorrhage were diagnosed based on brain computed tomography images by board-certified radiologists. RESULTS: We included 328 patients (mean age, 74 years; women, 36%) who achieved ROSC. Logistic regression analyses showed that female sex, younger age (<75 years), no shockable rhythm changes, tachycardia (≥100 bpm), lateral ST-segment elevation, and inferior ST-segment depression on post-resuscitation electrocardiogram were independently associated with intracerebral hemorrhage. We developed a new predictive model for intracerebral hemorrhage by considering 1 point for each of the six factors. The odds ratio for intracerebral hemorrhage increased 2.36 for each 1-point increase (P < 0.001). A score ≥ 4 had 43.7% sensitivity, 90.8% specificity, 34.1% positive predictive value, and 93.7% negative predictive value. CONCLUSION: Our new predictive model might be useful for risk stratification of intracerebral hemorrhage in patients with OHCA who achieved ROSC.