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Hyperglycemia as a positive predictor of mortality in major trauma
Author(s) -
Chang ChiaPeng,
Hsiao ChengTing,
Wang ChengHsien,
Chen KaiHua,
Chen IChuan,
Lin ChunNan,
Hsiao KuangYu
Publication year - 2022
Publication title -
hong kong journal of emergency medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.145
H-Index - 12
eISSN - 2309-5407
pISSN - 1024-9079
DOI - 10.1177/1024907920911254
Subject(s) - medicine , glasgow coma scale , injury severity score , odds ratio , prospective cohort study , major trauma , confidence interval , observational study , incidence (geometry) , emergency department , logistic regression , emergency medicine , surgery , poison control , injury prevention , physics , psychiatry , optics
Background: Hyperglycemia in the acute phase after trauma is a stress response and a metabolic reflection in humans with injury, which could adversely affect outcome in trauma patients. In this study, we attempted to identify if hyperglycemia a reliable predictor for mortality in major trauma patients. Objectives: In order to identify if hyperglycemia a reliable predictor for mortality in major trauma, we designed and proformed a prospective observational study in a tertiary hospital. Method: We performed a prospective observational study to review the records of 601 patients with major trauma (injury severity scores >15) who visited our hospital's emergency department from August 2012 to July 2015. Logistic regression was performed to assess the effect of hyperglycemia on mortality. Result: Major trauma patients in the hyperglycemia group had low systolic/diastolic blood pressure at triage, low initial Glasgow Coma Scale score, high incidence of hypotension episodes, coagulopathy, acidosis, and anemia. Hyperglycemia was significantly correlated with mortality in major trauma patients in this study (odds ratio: 1.97, 95% confidence interval: 1.04–3.74). Conclusion: In major trauma patients with injury severity scores >15, hyperglycemia has a positive correlation with mortality, which could be a predictor of mortality in clinical practice.

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