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논문 기본 정보

자료유형
학술저널
저자정보
Harding Charles (Harding Research, LLC, Seattle, WA, USA) Pompei Marybeth (Exegen Corp., Watertown, MA, USA) Burmistrov Dmitriy Pompei Francesco (Exegen Corp., Watertown, MA, USA)
저널정보
대한중환자의학회 Acute and Critical Care Acute and Critical Care Vol.39 No.2
발행연도
2024.5
수록면
304 - 311 (8page)
DOI
10.4266/acc.2023.01361

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초록· 키워드

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Background: We evaluated relationships of vital signs and laboratory-tested physiological parameters with in-hospital mortality, focusing on values that are unusual or extreme even in critical care settings.Methods: We retrospectively studied Philips Healthcare–MIT eICU data (207 U.S. hospitals, 2014–2015), including 166,959 adult-patient critical care admissions. Analyzing most-deranged (worst) value measured in the first admission day, we investigated vital signs (body temperature, heart rate, mean arterial pressure, and respiratory rate) as well as albumin, bilirubin, blood pH via arterial blood gas (ABG), blood urea nitrogen, creatinine, FiO2 ABG, glucose, hematocrit, PaO2 ABG, PaCO2 ABG, sodium, 24-hour urine output, and white blood cell count (WBC).Results: In-hospital mortality was ≥50% at extremes of low blood pH, low and high body temperature, low albumin, low glucose, and low heart rate. Near extremes of blood pH, temperature, glucose, heart rate, PaO2, and WBC, relatively small changes in measured values correlated with several-fold mortality rate increases. However, high mortality rates and abrupt mortality increases were often hidden by the common practice of thresholding or binning physiological parameters. The best predictors of in-hospital mortality were blood pH, temperature, and FiO2 (scaled Brier scores: 0.084, 0.063, and 0.049, respectively). Conclusions: In-hospital mortality is high and sharply increasing at extremes of blood pH, body temperature, and other parameters. Common-practice thresholding obscures these associations. In practice, vital signs are sometimes treated more casually than laboratory-tested parameters. Yet, vitals are easier to obtain and we found they are often the best mortality predictors, supporting perspectives that vitals are undervalued.

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