[在重症监护病房中构建和验证败血症相关急性损伤的风险名录]
Jiangming Zhang1,2, Minjun Qi2,3, Lumei Ma1,2
1The First Clinical Medical College, Gansu University of Traditional Chinese Medicine, Lanzhou 730000, Gansu, China.
Zhonghua wei zhong bing ji jiu yi xue
|September 6, 2024
概括
这项研究开发了一个名图,用于预测ICU患者的败血症相关急性损伤 (SA-AKI) 风险. 该模型使用前素,前素活性,血小板分布宽度和尿酸,有助于早期SA-AKI的识别和治疗.
科学领域:
- 关键护理医学 关键护理医学
- 腎臟病學 (nephrology) 是一種醫學專業.
- 生物统计学 生物统计学
背景情况:
- 败血症相关的急性损伤 (SA-AKI) 是重症监护室 (ICU) 患者常见和严重的并发症.
- 早期预测SA-AKI对于及时干预和改善患者结果至关重要.
- 现有的预测模型可能缺乏准确性或通用性.
研究的目的:
- 构建和验证一个名录模型,用于预测ICU患者SA-AKI的风险.
- 确定SA-AKI的独立预测因素.
- 为SA-AKI提供一个早期风险分层工具.
主要方法:
- 这是一项追溯的队列研究,对247名进入ICU的成人败血症患者进行了追溯研究.
- 患者被分为培训 (70%) 和验证 (30%) 组.
- 拉索回归和后勤回归分析被用来构建和验证基于血清肌素,前素 (PCT),前素活性 (PTA),血小板分布宽度 (PDW) 和尿酸 (UA) 的诺莫грам.
主要成果:
- 在74.49%的受试患者中出现SA-AKI.
- 确定了SA-AKI的四个独立预测因素:PCT,PTA,PDW和UA.
- 命名图表显示了良好的区分,在训练组中,曲线下的面积 (AUC) 为0.869,在验证组中为0.710.
结论:
- 结合PCT,PTA,PDW和UA的诺莫格拉姆模型可以有效预测ICU败血症患者的SA-AKI风险.
- 该模型有助于早期识别高风险个体.
- 诺米图为及时的SA-AKI管理提供临床实用性.
相关概念视频
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