The cut-off value of a qualitative brain diffusion-weighted image (DWI) scoring system to predict poor neurologic outcome in out-of-hospital cardiac arrest (OHCA) patients after target temperature management.

Abstract:

AIM:We presented the cut-off value of a diffusion-weighted image (DWI) scoring system to predict poor neurologic outcome using DWI taken 72-96 h after out-of-hospital cardiac arrest (OHCA) patients underwent target temperature management (TTM). METHODS:This was a prospective single-centre observational study, conducted from March 2018 to April 2020 in OHCA patients after TTM. Neurological status was assessed 6 months after return of spontaneous circulation (ROSC) using the Glasgow-Pittsburgh cerebral performance categories (CPC) scale. CPC of 1-2 demonstrated good neurologic outcomes whilst a CPC of 3-5 was related to poor neurologic outcomes. The receiver operating characteristic curves and DeLong method were used to evaluate the cut-off value of the DWI scoring system to predict poor neurologic outcome. RESULTS:The good and poor neurologic outcome groups consisted of 38 (54.3%) and 32 (45.7%) patients, respectively. The area under the receiver operating characteristic curve (AUROC) of the overall, cortex, deep grey nuclei, and cortex plus deep grey nuclei scores, white matter, brainstem, and cerebellum measured 72-96 h after ROSC were 0.96, 0.96, 0.97, 0.96, 0.95, 0.95, and 0.93 respectively. For 100.0% specificity to predict poor neurologic outcome, the overall scores of the DWI scoring system measured 72-96 h after ROSC with a cut-off value of 52 had a sensitivity of 81.3% (95% CI: 63.6-92.8). CONCLUSION:This study demonstrated that the DWI scoring systems measured between 72 and 96 h after ROSC were valuable tools to predict poor neurologic outcome in post-OHCA patients treated with TTM.

journal_name

Resuscitation

journal_title

Resuscitation

authors

An C,You Y,Park JS,Min JH,Jeong W,Ahn HJ,Kang C,Yoo I,Cho Y,Ryu S,Lee J,Kim SW,Cho SU,Oh SK,Lee IH

doi

10.1016/j.resuscitation.2020.08.130

subject

Has Abstract

pub_date

2020-12-01 00:00:00

pages

202-210

eissn

0300-9572

issn

1873-1570

pii

S0300-9572(20)30446-9

journal_volume

157

pub_type

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