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Early identified risk factors and their predictive performance of brain death in out-of-hospital cardiac arrest survivors - 14/05/22

Doi : 10.1016/j.ajem.2022.03.054 
Bong Kyu Lee, MD a, 1, Jin Hong Min, MD b, c, 1, Jung Soo Park, MD a, c, ⁎ , Changshin Kang, MD a, Byung Kook Lee, MD d
a Department of Emergency Medicine, Chungnam National University Hospital, Daejoen, Republic of Korea 
b Department of Emergency Medicine, Chungnam National University Sejong Hospital, Daejoen, Republic of Korea 
c Department of Emergency Medicine, College of Medicine, Chungnam National University, Daejeon, Republic of Korea 
d Department of Emergency Medicine, Chonnam national University Medical School, Chonnam National University Hospital, Gwangju, Republic of Korea 

⁎Corresponding author at: Department of Emergency Medicine, College of Medicine, Chungnam National University, 266 Munwha-ro, Jung-gu, Daejeon 35015, Republic of Korea.Department of Emergency MedicineCollege of MedicineChungnam National University266 Munwha-ro, Jung-guDaejeon35015Republic of Korea

Abstract

Background

Early prediction of brain death (BD) after the return of spontaneous circulation (ROSC) in patients with cardiac arrest would be useful for the proper distribution of good quality transplantable organs and medical resources. We aimed to early identify independent risk factors of BD and their predictive performance in out-of-hospital cardiac arrest (OHCA) survivors.

Methods

This retrospective observational study included adult OHCA survivors from May 2018 to February 2021. Independent risk factors for progression to BD were identified by performing multivariate logistic regression analysis, including clinical, laboratory, biological parameters and prognostic factors, obtained within 6 h after ROSC. Neuron-specific enolase (NSE) level were categorized into quartile. The primary outcome was BD occurrence.

Results

Overall, 108 patients were included in this analysis, 31 (29%) of whom had BD. In multivariate logistic regression analysis, initial serum NSE levels in the fourth quartile compared to the first quartile (odds ratio [OR], 88.5; 95% confidence interval [CI]: 7.0–1113.6) and absence of pupil light reflex (PLR) (OR, 40.3; 95% CI: 3.8–430.3) were independently associated with BD. According to the receiver operating characteristic curve analysis, initial serum NSE levels and PLR showed good-to-excellent and fair-to-good prognostic performance, respectively (area under the curve [AUC], 0.90; 95% CI: 0.83–0.95 vs. 0.81; 95% CI: 0.72–0.88). Additionally, the combination of both the risk factors (AUC, 0.96; 95% CI: 0.90–0.99) showed significantly higher predictive performance for BD than when using them individually (P = 0.04 and P < 0.01, respectively).

Conclusion

High levels of initial serum NSE and PLR obtained within 6 h after ROSC may help early predict progression to BD in OHCA survivors. A large prospective multicenter study should be conducted to confirm these results.

Il testo completo di questo articolo è disponibile in PDF.

Highlights

•
Prediction of brain death (BD) in out-of-hospital cardiac arrest survivors.
•
Few studies have explored early BD prediction, but with low accuracy.
•
Only clinical, laboratory, and biological parameters were used in past studies.
•
Pupil light reflex and initial serum neuron-specific enolase could predict BD.

Il testo completo di questo articolo è disponibile in PDF.

Keywords : Brain death, Out-of-hospital cardiac arrest, Heart arrest, Neuron-specific enolase

Abbreviations : AUC, BBB, BD, CI, CNUH, CPC, CT, GWM, HIBI, ICU, NSE, OD, OHCA, PLR, ROC, ROSC, TTM, WLST


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