l status (ASA-PS) score and the National Surgical Quality Improvement Program Surgical Risk-Calculator (NSQIP-SRC), which are measurements of comorbidities, in the prediction of trauma outcomes, hypothesizing that they will improve the predictive ability for mortality, hospital length of stay (LOS), and complications compared to TRISS alone in trauma patients undergoing surgery within 24 hours. METHODS: A prospective, observational multicenter study (9/2018–2/2020) of trauma patients ≥18 years undergoing operation within 24 hours of admission was performed. Multiple logistic regression was used to create models predicting mortality utilizing the variables within TRISS, ASA-PS, and NSQIP-SRC, respectively. Linear regression was used to create models predicting LOS and negative binomial regression to create models predicting complications. RESULTS: From 4 level I trauma centers, 1213 patients were included. The Brier Score for each model predicting mortality was found to improve accuracy in the following order: 0.0370 for ASA-PS, 0.0355 for NSQIP-SRC, 0.0301 for TRISS, 0.0291 for TRISS+ASA-PS, and 0.0234 for TRISS+NSQIP-SRC. However, when comparing TRISS alone to TRISS+ASA-PS (P = .082) and TRISS+NSQIP-SRC (P = .394), there was no significant improvement in mortality prediction. NSQIP-SRC more accurately predicted both LOS and complications compared to TRISS and ASA-PS. CONCLUSIONS: TRISS predicts mortality better than ASA-PS and NSQIP-SRC in trauma patients undergoing surgery within 24 hours. The TRISS mortality predictive ability is not improved when combined with ASA-PS or NSQIP-SRC. However, NSQIP-SRC was the most accurate predictor of LOS and complications....

中文翻译：

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创伤和损伤严重程度评分、美国麻醉医师协会身体状况以及国家手术质量改进计划计算器预测手术创伤结果能力的前瞻性多中心比较


l 状态（ASA-PS）评分和国家手术质量改进计划手术风险计算器（NSQIP-SRC），这是对合并症的测量，在预测创伤结果中，假设它们将提高死亡率、医院的预测能力与单独使用 TRISS 相比，创伤患者在 24 小时内接受手术的住院时间 (LOS) 和并发症。方法：对 18 岁以上在入院 24 小时内接受手术的创伤患者进行一项前瞻性、观察性多中心研究（9/2018-2/2020）。多重逻辑回归分别利用 TRISS、ASA-PS 和 NSQIP-SRC 中的变量创建预测死亡率的模型。使用线性回归创建预测 LOS 的模型，使用负二项式回归创建预测并发症的模型。结果：来自 4 个一级创伤中心的 1213 名患者被纳入研究。研究发现，预测死亡率的每个模型的 Brier 评分按以下顺序提高了准确性：ASA-PS 为 0.0370，NSQIP-SRC 为 0.0355，TRISS 为 0.0301，TRISS+ASA-PS 为 0.0291，TRISS+NSQIP-SRC 为 0.0234 。然而，当将单独的 TRISS 与 TRISS+ASA-PS (P = .082) 和 TRISS+NSQIP-SRC (P = .394) 进行比较时，死亡率预测没有显着改善。与 TRISS 和 ASA-PS 相比，NSQIP-SRC 可以更准确地预测 LOS 和并发症。结论：对于 24 小时内接受手术的创伤患者，TRISS 比 ASA-PS 和 NSQIP-SRC 更能预测死亡率。与 ASA-PS 或 NSQIP-SRC 结合使用时，TRISS 死亡率预测能力并未提高。然而，NSQIP-SRC 是 LOS 和并发症最准确的预测因子......