Rau Cheng-Shyuan, Tsai Ching-Hua, Chou Sheng-En, Su Wei-Ti, Hsu Shiun-Yuan, Hsieh Ching-Hua
Department of Neurosurgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Department of Trauma Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Emerg Med Int. 2023 May 31;2023:3768646. doi: 10.1155/2023/3768646. eCollection 2023.
Malnutrition is prevalent among critically ill patients and has been associated with a poor prognosis. This study sought to determine whether the addition of a nutritional indicator to the various variables of prognostic scoring models can improve the prediction of mortality among trauma patients in the intensive care unit (ICU).
This study's cohort included 1,126 trauma patients hospitalized in the ICU between January 1, 2018, and December 31, 2021. Two nutritional indicators, the prognostic nutrition index (PNI), a calculation based on the serum albumin concentration and peripheral blood lymphocyte count, and the geriatric nutritional risk index (GNRI), a calculation based on the serum albumin concentration and the ratio of current body weight to ideal body weight, were examined for their association with the mortality outcome. The significant nutritional indicator was served as an additional variable in prognostic scoring models of the Trauma and Injury Severity Score (TRISS), the Acute Physiology and Chronic Health Evaluation (APACHE II), and the mortality prediction models (MPM II) at admission, 24, 48, and 72 h in the mortality outcome prediction. The predictive performance was determined by the area under the receiver operating characteristic curve.
Multivariate logistic regression revealed that GNRI (OR, 0.97; 95% CI, 0.96-0.99; =0.007), but not PNI (OR, 0.99; 95% CI, 0.97-1.02; =0.518), was independent risk factor for mortality. However, none of these predictive scoring models showed a significant improvement in prediction when the GNRI variable is incorporated.
The addition of GNRI as a variable to the prognostic scoring models did not significantly enhance the performance of the predictors.
营养不良在重症患者中普遍存在,且与预后不良相关。本研究旨在确定在预后评分模型的各种变量中加入营养指标是否能改善对重症监护病房(ICU)创伤患者死亡率的预测。
本研究队列包括2018年1月1日至2021年12月31日期间在ICU住院的1126例创伤患者。研究了两个营养指标,即预后营养指数(PNI),其基于血清白蛋白浓度和外周血淋巴细胞计数计算得出;以及老年营养风险指数(GNRI),其基于血清白蛋白浓度和当前体重与理想体重之比计算得出,并检验了它们与死亡结局的关联。在入院时、24小时、48小时和72小时的死亡结局预测中,将显著的营养指标作为创伤和损伤严重程度评分(TRISS)、急性生理与慢性健康状况评估(APACHE II)以及死亡率预测模型(MPM II)的预后评分模型中的一个额外变量。通过受试者操作特征曲线下面积来确定预测性能。
多因素逻辑回归显示,GNRI(比值比,0.97;95%置信区间,0.96 - 0.99;P = 0.007)而非PNI(比值比,0.99;95%置信区间:0.97 - 1.02;P = 0.518)是死亡的独立危险因素。然而,当纳入GNRI变量时,这些预测评分模型在预测方面均未显示出显著改善。
在预后评分模型中加入GNRI作为变量并未显著提高预测指标的性能。