在医院环境中预测生命的终点
Gezy Weita Giwangkancana1, Heni Nur Anina2, Hadyana Sukandar3
1Department of Anesthesia and Intensive Care, Faculty of Medicine Universitas Padjadjaran /Dr. Hasan Sadikin National Referral and Teaching Hospital, Bandung, Indonesia.
Journal of multidisciplinary healthcare
|February 14, 2024
概括
预测住院死亡率对于慢性病患者至关重要. 早期预警评分 (EWS) 和意识下降显著预测14天死亡率,强调在临床实践中需要多个指标.
科学领域:
- 医学预测 医学预测
- 临床流行病学 临床流行病学
- 急性护理医学急性护理医学
背景情况:
- 准确的预后预测对于急性护理机构的患者和家属至关重要.
- 现有多种分数系统用于评估疾病进展和预测危及生命的疾病中的死亡率.
- 这些系统考虑了急性状况,灾难性事件和缓慢的衰退.
研究的目的:
- 为了评估息性绩效得分 (PPS),早期预警得分 (EWS) 和当地医院医生Hasan Sadikin (RSHS) 的得分.
- 为了确定这些得分对14天住院死亡率的预测准确性.
主要方法:
- 从2022年11月到2023年4月进行了一项单中心前性队列研究.
- 使用PPS,EWS和RSHS得分来评估患有终末期疾病的患者.
- 使用考克斯回归进行了多变量分析,并遵循STROBE指南.
主要成果:
- 早期预警分数 (EWS) (HR:2.9,95% CI:1.1-7.7) 是死亡率的重要预测指标.
- 意识下降 (HR: 3.6,95% CI: 1.2-10.22) 也显示在预测死亡率方面具有统计学意义.
- 该研究指出,大多数已故患者患有癌症和最近入院.
结论:
- 精神丧症和意识下降是住院死亡率的重要预测因素.
- 依靠单一的预测工具可能会在14天的时间范围内缺乏准确性.
- 利用多种指标对于准确的死亡预测和改善临床环境中的患者护理至关重要.
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