适应性检查清单模型用于儿科自发呼吸测试
Bruno Silva Miranda1, Valéria Cabral Neves1, Yessa do Prado Albuquerque1
1Complexo do Hospital de Clínicas, Faculdade de Medicina, Universidade Federal do Paraná - Curitiba (PR), Brazil.
Critical care science
|September 15, 2023
概括
每天的检查清单有效地确定了在接受自发呼吸测试的儿科重症监护病人的输出失败预测因素. 该工具有助于评估机械通风移除的准备情况,改善患者的治疗结果.
科学领域:
- 儿科重症监护医学 儿科重症监护医学
- 呼吸系统疗法 呼吸系统疗法
- 临床预测模型临床预测模型
背景情况:
- 儿科重症监护室 (PICU) 的输出失败与增加的发病率和死亡率有关.
- 精确预测输出管成功对于优化患者护理和资源配置至关重要.
- 自发呼吸试验 (SBT) 是从机械通风中断奶的关键组成部分,但它们的解释需要仔细评估.
研究的目的:
- 评估自发呼吸测试 (SBT) 的每日健身清单模型.
- 为了确定儿科患者输管失败的预测变量.
- 评估检查清单能够预测巴西PICU的成功输出管的能力.
主要方法:
- 进行了一项单一中心的横截面研究,采用前性数据收集.
- 使用20项每日检查清单模型来评估患者对SBT的准备程度.
- 在1217次每日评估中,对126名入侵性机械通风的儿科患者进行了评估.
主要成果:
- 检查清单模型显示了SBT成功的高分辨力 (灵敏度为89.7%,特异性为84.6%).
- 检查清单上的切断分数为8预测出口失败的概率不到5%.
- 更高的检查清单得分与逐渐增加的输出失败概率相关,最高得分达到85%.
结论:
- 针对SBT的每日检查清单模型成功地确定了儿科患者输出失败的预测变量.
- 使用该模型观察到的输出失败率与可接受的文献标准保持一致.
- 这份检查清单为临床医生管理需要机械通风的儿科患者提供了宝贵的工具.
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