开发和验证用于预测儿童心脏外科手术后长时间ICU停留的nomogram
Jungang Zheng1,2,3, Wenyuan Zhang4,5, Yuqian Guo1
11Department of Anesthesiology and Intensive Care, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 311100, China.
World journal of emergency medicine
|September 22, 2025
概括
这项研究开发了一个名图,用于预测儿科心脏手术患者的长时间重症监护室 (ICU) 停留. 该工具有助于早期识别高风险个体,以提供量身定制的术后护理.
科学领域:
- 儿科心脏手术 儿科心脏手术
- 重症监护室 (ICU) 医学重症监护室
- 预测分析是一种预测分析.
背景情况:
- 长时间的重症监护室 (ICU) 住院在儿科心脏外科手术中带来了挑战.
- 准确预测长时间的ICU停留时间对于资源分配和患者管理至关重要.
研究的目的:
- 开发和验证一个名图,用于估计儿科心脏手术患者长时间住院治疗的概率.
- 为了确定与长时间的ICU停留相关的关键临床变量.
主要方法:
- 对儿科重症监护数据库的回顾性分析.
- 使用培训套件 (75%) 开发名ogram,并在测试套件 (25%) 中验证.
- 包括795名患者在培训组和266名患者在测试组.
主要成果:
- 诺米图包含了八个变量:年龄,血压,呼吸率,碳酸盐,胆红素,C反应蛋白,国际正常化比率和操作时间.
- 诺米图实现了0.812 (训练) 和0.736 (测试) 的曲线下的面积,表明了良好的预测性能.
- 决策曲线分析证实了名谱对患者管理的临床实用性.
结论:
- 开发的诺莫图谱是早期识别儿童心脏手术患者的宝贵工具,这些患者有长时间ICU住院的风险.
- 这种工具可以促进个性化的术后护理策略,潜在地改善患者的治疗结果.
- 该名录显示出优异的区分和校准,支持其临床适用性.
更多相关视频
10:38Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies
Published on: January 16, 2019
20.8K
11:27A Modified Sonographic Algorithm for Image Acquisition in Life-Threatening Emergencies in the Critically Ill Newborn
Published on: April 7, 2023
7.2K
相关概念视频
Cardiomyopathy VII: Pre and Post Operative Nursing Management
288
Patients with hypertrophic cardiomyopathy (HCM) and left ventricular outflow tract (LVOT) obstruction who remain symptomatic despite optimal medical therapy may undergo a septal myectomy (Morrow procedure). This procedure involves excising a portion of the hypertrophied septum below the aortic valve using a heart-lung machine to improve blood flow through the LVOT. Effective preoperative and postoperative nursing management ensures successful patient outcomes, minimizes complications, and...
288
Dosage Regimen Designs: Nomograms and Tabulations
181
Nomograms and tabulations are vital tools used by clinicians to design accurate and individualized dosage regimens. These instruments provide a straightforward method for adjusting dosages based on individual patient characteristics, including age, weight, and physiological condition. The foundation of a drug's nomogram is population pharmacokinetic data collected and analyzed using specific models. This data simplifies complex equations, presenting them diagrammatically or tabularly for easy...
181
