Schellenberg Morgan, Cheng Vincent, Inaba Kenji, Foran Christopher, Warriner Zachary, Trust Marc D, Clark Damon, Demetriades Demetrios
Department of Trauma and Acute Care Surgery, LAC+USC Medical Center, Los Angeles, United States of America.
Turk J Surg. 2020 Jun 8;36(2):218-223. doi: 10.5578/turkjsurg.4632. eCollection 2020 Jun.
Frostbite injuries are important causes of morbidity and mortality after trauma. Epidemiology, injury patterns, and outcomes after frostbite among patients presenting to trauma centers are incompletely defined. The purpose of this study was to delineate patient demographics, clinical characteristics, and independent predictors of outcomes after frostbite.
Patients with frostbite injury were identified from the National Trauma Data Bank (NTDB) (2007-2014). Demographics, clinical/injury data, and outcomes were collected. Patients were dichotomized into study groups based on intensive care unit (ICU) admission. Univariate analysis was performed with the Mann-Whitney U, Fisher's exact, or Chi-Square test as appropriate. Multivariate analysis using logistic regression determined independent predictors of outcomes.
Over the study period, 241 patients were identified. Median body temperature on admission was 36.3⁰C (IQR 33.4-36.7). Mortality was 3% (n= 7). ICU admission was required in 101 (42%) patients and 48 (20%) underwent surgical intervention. On multivariate analyses, mortality was predicted by lower admission GCS (p= 0.027) and amputation by higher HR (p= 0.013). Need for ICU admission was predicted by older age (p= 0.010), male gender (p= 0.040), higher HR (p= 0.031) and ISS (p <0.001), and lower GCS (p= 0.001). Prolonged hospital LOS was predicted by higher heart rate (p <0.001) and ISS (p <0.001).
Frostbite injuries are uncommon but can necessitate surgical intervention and cause mortality. Lower GCS and higher heart rate, but not body temperature, portend poor outcomes. These findings can be used to triage patients appropriately upon admission and to better inform prognosis after frostbite injuries.
冻伤是创伤后发病和死亡的重要原因。创伤中心收治的冻伤患者的流行病学、损伤模式和预后尚未完全明确。本研究的目的是描述冻伤患者的人口统计学特征、临床特征以及预后的独立预测因素。
从国家创伤数据库(NTDB,2007 - 2014年)中识别出冻伤患者。收集人口统计学、临床/损伤数据及预后信息。根据重症监护病房(ICU)入院情况将患者分为研究组。根据情况分别采用曼-惠特尼U检验、费舍尔精确检验或卡方检验进行单因素分析。使用逻辑回归进行多因素分析以确定预后的独立预测因素。
在研究期间,共识别出241例患者。入院时的中位体温为36.3℃(四分位间距33.4 - 36.7)。死亡率为3%(n = 7)。101例(42%)患者需要入住ICU,48例(20%)接受了手术干预。多因素分析显示,入院时格拉斯哥昏迷评分(GCS)较低预测死亡率(p = 0.027),心率较高预测截肢率(p = 0.013)。年龄较大(p = 0.010)、男性(p = 0.040)、心率较高(p = 0.031)和损伤严重度评分(ISS)较高(p <0.001)以及GCS较低(p = 0.001)预测需要入住ICU。心率较高(p <0.001)和ISS较高(p <0.001)预测住院时间延长。
冻伤并不常见,但可能需要手术干预并导致死亡。GCS较低和心率较高而非体温预示预后不良。这些发现可用于患者入院时的合理分诊,并更好地告知冻伤后的预后情况。