P6380The impact of coronary artery disease to predict mortality and neurological outcome in post-cardiac arrest patients
Autor: | K Murata, G Nitta, T Ikenouchi, Y Matsumura, T Yamato, Y Inamura, Junji Matsuda, T Takamiya, Akira Sato, S Kato, M Kanoh, S Inaba, T Kono, K Negi |
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Rok vydání: | 2019 |
Předmět: | |
Zdroj: | European Heart Journal. 40 |
ISSN: | 1522-9645 0195-668X |
DOI: | 10.1093/eurheartj/ehz746.0976 |
Popis: | Background Some studies reported that performing coronary angiography (CAG) for patients with out-of-hospital cardiac arrest (OHCA) is effective for the prognosis and neurological outcome. However, the impact of complexity of coronary artery disease (CAD) on CAG findings has not been evaluated sufficiently. Purpose We sought to investigate the complexity of CAD to predict the prognosis and neurological outcome in patients with OHCA. Methods A total of 1382 out-of-hospital cardiac arrest patients were transferred to our critical care center, of which 252 cardiovascular arrest patients achieving the return of spontaneous circulation (ROSC) were extracted from the institutional consecutive database between January 2015 and December 2018. Among those patients, we performed CAG for 160 patients. To predict mortality in hospital and neurological outcome at 30 days, we investigated basic patients' characteristics, pre-hospital information, coronary anatomical angiographical findings. Results Ventricular fibrillation (VF) (P=0.001), younger age (P=0.007), pre-hospital ROSC (P Conclusions OHCA patients with any coronary stenosis had high mortality and bad neurological outcome in comparison with those who had normal coronary arteries. OHCA patients with CAD had complex lesions such as multi-vessel disease or chronic total occlusion lesions. The coronary complexity in patients with OHCA was a predictor of in-hospital 30-days mortality. However, pre-hospital care such as bystander CPR and pre-hospital ROSC were the most important to achieve good neurological outcome at 30 days in the present study. |
Databáze: | OpenAIRE |
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