通过隐性类分析,重新定义色细胞瘤手术中的血液动力学不稳定性
Laura Alberici1, Claudio Ricci1,2, Valentina Vicennati2,3
1Pancreatic and Endocrine Surgical Unit, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, 40138 Bologna, Italy.
European journal of endocrinology
|September 29, 2025
概括
这项研究使用平均动脉压 (MAP) 开发了在染细胞瘤手术期间血液动力学不稳定性 (HDI) 的客观分类. 这种数据驱动的方法可以识别高风险和低风险的患者群体,以改善外科手术管理.
科学领域:
- 麻醉学和重症监护医学
- 手术瘤学手术瘤学
- 心血管生理学心血管生理学
背景情况:
- 染细胞瘤切除期间的血液动力学不稳定性 (HDI) 是一个重大的麻醉学挑战.
- 目前对HDI的定义往往是任意的,阻碍了有效的风险分层和可比性.
- 需要一个客观的,数据驱动的分类来标准化评估和管理.
研究的目的:
- 开发和验证一个客观的,数据驱动的分类系统,用于手术内血动力学不稳定性 (HDI).
- 为了识别不同的患者风险群体进行染细胞瘤手术切除.
- 为了改善这种复杂的手术的麻醉学管理和风险分层.
主要方法:
- 收集了来自92名患者的5个手术内时间点的血液动力学变量 (SBP,DBP,HR,MAP).
- 使用隐性类分析 (LCA) 将患者分为低风险 (l-HDI) 和高风险 (h-HDI) 组.
- 通过使用不同的血液动力学变量组合,评估了四种LCA模型,通过AIC和BIC选择最佳模型.
主要成果:
- 仅使用手术内平均动脉压 (MAP) 的LCA模型提供了最好的分类 (AIC: 3783; BIC: 3824).
- 确定了两个不同的类别:高风险的HDI (34.8%) 和低风险的HDI (65.2%).
- 在关键手术阶段观察到群体之间的显著MAP差异;患者年龄和症状呈现是HDI的强有力的预测因素.
结论:
- 建议在染细胞瘤手术中进行可复制和客观的手术内HDI分类.
- 该分类是基于从隐性类分析 (LCA) 获得的平均动脉压 (MAP).
- 这种客观的分类有助于更好的风险分层和血液动力学不稳定的管理.
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