Scientific Reports (Dec 2023)

Combination strategy for prognostication in patients undergoing post-resuscitation care after cardiac arrest

  • Jung Soo Park,
  • Eun Young Kim,
  • Yeonho You,
  • Jin Hong Min,
  • Wonjoon Jeong,
  • Hong Joon Ahn,
  • Yong Nam In,
  • In Ho Lee,
  • Jae Moon Kim,
  • Changshin Kang

DOI
https://doi.org/10.1038/s41598-023-49345-1
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 10

Abstract

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Abstract This study investigated the prognostic performance of combination strategies using a multimodal approach in patients treated after cardiac arrest. Prospectively collected registry data were used for this retrospective analysis. Poor outcome was defined as a cerebral performance category of 3–5 at 6 months. Predictors of poor outcome were absence of ocular reflexes (PR/CR) without confounding factors, a highly malignant pattern on the most recent electroencephalography, defined as suppressed background with or without periodic discharges and burst-suppression, high neuron-specific enolase (NSE) after 48 h, and diffuse injury on imaging studies (computed tomography or diffusion-weighted imaging [DWI]) at 72–96 h. The prognostic performances for poor outcomes were analyzed for sensitivity and specificity. A total of 130 patients were included in the analysis. Of these, 68 (52.3%) patients had poor outcomes. The best prognostic performance was observed with the combination of absent PR/CR, high NSE, and diffuse injury on DWI [91.2%, 95% confidence interval (CI) 80.7–97.1], whereas the combination strategy of all available predictors did not improve prognostic performance (87.8%, 95% CI 73.8–95.9). Combining three of the predictors may improve prognostic performance and be more efficient than adding all tests indiscriminately, given limited medical resources.