开发一种多变量模型,预测一次性阿尔多斯顿症患者的上腺切除术后功能下降:一个大型队列单中心研究
Wenhao Lin1, Juping Zhao1,2, Chen Fang1
1Department of Urology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
World journal of urology
|October 25, 2024
概括
一个新的模型预测,在为原发性阿尔多斯特隆症进行上腺切除术后,长期功能下降. 该工具有助于识别患有术后功能下降风险的患者,有助于进行手术决策.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 内分泌学 在内分泌学.
- 手术瘤学手术瘤学
背景情况:
- 原发性阿尔多斯特隆症 (PA) 是二次高血压的常见原因.
- 上腺切除术是PA的首要治疗方法,但术后功能变化可能发生.
- 预测功能下降对于患者管理和手术规划至关重要.
研究的目的:
- 开发和验证一个多变量线性模型,用于预测长期 (3个月以上) 功能下降后上腺切除术在PA患者.
- 为了确定与上腺切除术后功能变化相关的关键临床变量.
主要方法:
- 357名接受上腺切除术的PA患者的回顾性分析.
- 使用LASSO和多变量线性回归来识别风险因素.
- 使用引导方法对预测模型的内部验证.
主要成果:
- 功能下降的关键预测因素包括年龄,垂直位置的血中阿尔多素度 (PAC) (PACU) 和盐溶液输液后 (PACafterNS),手术前的上腺皮质激素 (ACTH),手术前的估计膜过率 (eGFR),以及手术后的即时EGFR.
- 开发的多变量线性模型表明,预测和观察到的上腺切除术后功能下降之间存在强烈的相关性 (调整后R2=0.63).
结论:
- 结合外科手术期临床变量的一种多变量线性模型准确地预测了PA患者在上腺切除术后长期功能下降的情况.
- 这种预测模型可以帮助临床医生识别患有术后功能障碍风险较高的患者.
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