后重症监护综合征的严重程度分类和影响变量
M A Narváez-Martínez1, Á M Henao-Castaño2
1Universidad Nacional de Colombia, Bogotá, Colombia; Fundación Cardioinfantil - Instituto de Cardiología, Bogotá, Colombia.
Enfermeria intensiva
|July 30, 2023
概括
这项研究使用高斯混合模型对哥伦比亚ICU幸存者的重症监护后综合征 (PICS) 严重程度进行了分类. 影响PICS的关键因素包括男性性别,APACHE II评分,年龄和ICU停留时间.
科学领域:
- 关键护理医学 关键护理医学
- 神经学 神经学
- 公共卫生 公共卫生
背景情况:
- 后重症监护综合征 (PICS) 是一种复杂的疾病,影响了严重疾病的幸存者.
- 了解PICS严重程度和影响因素对于改善患者的治疗结果至关重要.
- 之前对PICS的描述有所不同,因此需要在不同的ICU环境中进行进一步的研究.
研究的目的:
- 在哥伦比亚的成年ICU幸存者中描述后重症监护综合征 (PICS) 的严重程度.
- 确定影响PICS的表现和严重程度的关键变量.
- 使用先进的统计建模来对PICS严重程度进行分类.
主要方法:
- 一项描述性,横截面,前性研究,涉及135名成年ICU幸存者.
- 使用健康衰老大脑护理监测 (HABC-M) 尺度进行患者表征.
- 采用高斯混合模型用于PICS严重性聚类和变量识别的顺序逻辑回归.
主要成果:
- 高斯混合模型成功地将PICS分为轻度,中度和严重的类别,具有很好的模型匹配 (AIC=308,AUC=0.80).
- 定义的HABC-M 每个严重程度类别的总得分范围:轻度 (≤9),中度 (10-42) 和严重 (≥43).
- 确定的男性性别,APACHE II评分,年龄,ICU停留时间和镇静剂/止痛剂/神经肌肉阻断剂的使用作为重要的影响变量.
结论:
- 该研究成功地使用HABC-M尺度和高斯混合模型对哥伦比亚ICU幸存者的PICS严重程度进行了分类.
- 确定了与增加PICS严重程度相关的关键人口,临床和治疗相关的变量.
- 提供了一个理解和潜在地减轻密集护理机构PICS的框架.
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