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- Dae Hee Bae, Lee Hyoung Youn HY Department of Emergency Medicine, Chonnam National University Hospital, 42 Jebong-ro, Do... more
- Department of Emergency Medicine, Chonnam National University Hospital, 42 Jebong-ro, Donggu, Gwangju, Republic of Korea.
- Resuscitation. 2021 Feb 1; 159: 60-68.
BackgroundEarly prognostication after cardiac arrest would be useful. We aimed to develop a scoring model for early prognostication in unselected adult cardiac arrest patients.MethodsWe retrospectively analysed data of adult non-traumatic cardiac arrest patients treated at a tertiary hospital between 2014 and 2018. The primary outcome was poor outcome at hospital discharge (cerebral performance category, 3-5). Using multivariable logistic regression analysis, independent predictors were identified among known outcome predictors, that were available at intensive care unit admission, in patients admitted in the first 3 years (derivation set, N = 671), and a scoring system was developed with the variables that were retained in the final model. The scoring model was validated in patients admitted in the last 2 years (validation set, N = 311).ResultsThe poor outcome rates at hospital discharge were similar between the derivation (66.0%) and validation sets (64.3%). Age <59 years, witnessed collapse, shockable rhythm, adrenaline dose <2 mg, low-flow duration <18 min, reactive pupillary light reflex, Glasgow Coma Scale motor score ≥2, and levels of creatinine <1.21 mg dl-1, potassium <4.4 mEq l-1, phosphate <5.8 mg dl-1, haemoglobin ≥13.2 g dl-1, and lactate <8 mmol l-1 were retained in the final multivariable model and used to develop the scoring system. Our model demonstrated excellent discrimination in the validation set (area under the curve of 0.942, 95% confidence interval 0.917-0.968).ConclusionsWe developed a scoring model for early prognostication in unselected adult cardiac arrest patients. Further validations in various cohorts are needed.Copyright © 2020 Elsevier B.V. All rights reserved.
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