Development and validation of early prediction models for new-onset functional impairment of patients with trauma at hospital discharge.

IF 2.9 2区 医学 Q2 CRITICAL CARE MEDICINE Journal of Trauma and Acute Care Surgery Pub Date : 2025-01-01 Epub Date: 2024-07-30 DOI:10.1097/TA.0000000000004420
Hiroyuki Ohbe, Yuta Yokokawa, Tetsuya Sato, Daisuke Kudo, Shigeki Kushimoto
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Abstract

Background: Early identification of individuals at risk of functional impairment after trauma is crucial for the timely clinical decision-making and intervention to improve reintegration into the society. This study aimed to develop and validate models for predicting new-onset functional impairment after trauma using predictors that are routinely collected within 2 days of hospital admission.

Methods: In this multicenter retrospective cohort study of acute care hospitals in Japan, we identified adult patients with trauma with independence in carrying out activities of daily living before hospitalization, treated in the intensive or high-dependency care unit, and survived for at least 2 days between April 2008 and September 2023. The primary outcome was functional impairment defined as Barthel Index ≤60 at hospital discharge. In the internal validation data set (between April 2008 and August 2022), using the routinely collected 129 candidate predictors within 2 days of admission, we trained and tuned the four conventional and machine learning models with repeated random subsampling cross-validation. We measured the performance of these models in the temporal validation data set (between September 2022 and September 2023). We also computed the importance of each predictor variable in our model.

Results: We identified 8,529 eligible patients. Functional impairment at discharge was observed in 41% of the patients (n = 3,506/8,529). In the temporal validation data set, all four models showed moderate discrimination ability, with areas under the curve above 0.79, and extreme gradient boosting showing the best performance (0.83). In the variable importance analyses, age was the most important predictor, followed by consciousness, severity score, cervical spinal cord injury, mild dementia, and serum albumin level at admission.

Conclusion: We successfully developed early prediction models for patients with trauma with new-onset functional impairment at discharge that achieved high predictive performance using routinely collected data within 2 days of hospital admission.

Level of evidence: Prognostic and Epidemiological; Level III.

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开发和验证创伤患者出院时新出现功能障碍的早期预测模型。
背景:早期识别创伤后有功能障碍风险的个体对于及时做出临床决策和干预以改善重返社会至关重要。本研究旨在利用入院 2 天内常规收集的预测因子,开发并验证预测创伤后新发功能障碍的模型:在这项对日本急症医院进行的多中心回顾性队列研究中,我们确定了在 2008 年 4 月至 2023 年 9 月期间在重症监护室或高依赖性监护室接受治疗并存活至少 2 天的成年创伤患者。主要结果是功能障碍,即出院时 Barthel 指数≤60。在内部验证数据集(2008 年 4 月至 2022 年 8 月)中,我们使用在入院 2 天内常规收集的 129 个候选预测因子,通过重复随机子抽样交叉验证训练和调整了四个传统模型和机器学习模型。我们测量了这些模型在时间验证数据集中(2022 年 9 月至 2023 年 9 月)的性能。我们还计算了模型中每个预测变量的重要性:我们确定了 8529 名符合条件的患者。41%的患者在出院时出现功能障碍(n = 3,506/8,529)。在时间验证数据集中,所有四个模型都显示出中等程度的分辨能力,曲线下面积均高于 0.79,而极端梯度增强模型的表现最好(0.83)。在变量重要性分析中,年龄是最重要的预测因素,其次是意识、严重程度评分、颈椎损伤、轻度痴呆和入院时的血清白蛋白水平:我们利用入院 2 天内收集的常规数据,成功开发了针对出院时新发功能障碍的创伤患者的早期预测模型,并取得了很高的预测效果:证据级别:预后/流行病学;II级。
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来源期刊
CiteScore
6.00
自引率
11.80%
发文量
637
审稿时长
2.7 months
期刊介绍: The Journal of Trauma and Acute Care Surgery® is designed to provide the scientific basis to optimize care of the severely injured and critically ill surgical patient. Thus, the Journal has a high priority for basic and translation research to fulfill this objectives. Additionally, the Journal is enthusiastic to publish randomized prospective clinical studies to establish care predicated on a mechanistic foundation. Finally, the Journal is seeking systematic reviews, guidelines and algorithms that incorporate the best evidence available.
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