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Late mortality prediction using blood cell counts in trauma patients who underwent emergency surgery
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Advisor
채윤정
Affiliation
아주대학교 일반대학원
Department
일반대학원 의학과
Publication Year
2022-08
Publisher
The Graduate School, Ajou University
Keyword
Inflammationinjury severitymortalityneutrophilplatelettrauma
Description
학위논문(박사)--아주대학교 일반대학원 :의학과,2022. 8
Alternative Abstract
Background: Late mortality, following major trauma, is mainly caused by multi-organ dysfunction syndrome that is associated with systemic inflammation. Although neutrophil/lymphocyte (NL) and neutrophil/lymphocyte platelet (NLP) ratios are known to reflect systemic inflammation, they have not been evaluated as predictors of late mortality in such patients. This study was designed to evaluate the usefulness of NL and NLP in predicting late mortality of trauma patients after emergency surgery. Methods: Adult trauma patients after emergency surgery at a level I trauma center were evaluated retrospectively. Patients who expired within 48 hours were excluded. Blood count ratios (NL, and NLP at initial, 48-hours and 1-week of hospitalization), and the preexisting trauma scores were evaluated. Results: Enrolled patients were 209. Baseline characteristics of patients were as follows: median age, 49 [interquartile range 37.5–61.0] years; Injury Severity Score (ISS), 23 [16–34]; Revised Trauma Score (RTS), 7.11 [5.44–7.84]; Trauma Injury Severity Score (TRISS), 91.0 [70.2–97.8]; and mortality rate 11.5%. NLP at 1 week, NL at 1 week, TRISS, RTS, and ISS were related to late death. Area under the curves for predicting mortality was greatest for NLP at 1 week (0.867 [95% confidence interval 0.798–0.936], p < .001). Based on cutoff value (9.3, sensitivity 77.3%, specificity 83.1%), the high-NLP-at-1-week group showed higher death rate than the low-NLP-at-1-week group (35.4% vs. 3.2%, p < .001). Conclusions: Preexisting trauma scores, NL at 1 week, and NLP at 1 week were significantly related to late mortality in trauma patients after emergency surgery. However, the prediction power of NLP at 1 week was the highest compared to other tools.
Language
eng
URI
https://dspace.ajou.ac.kr/handle/2018.oak/21051
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Type
Thesis
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