基于临床因素和自主神经系统活动的诺莫格拉姆模型,用于预测腹膜透析患者的残留功能下降
Jing Wang1, Zhenye Chen2, Yaoyu Huang1
1Department of Nephrology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China.
Frontiers in neuroscience
|November 18, 2024
概括
通过皮肤交感神经活动 (aSKNA) 测量自主神经系统活动,可以帮助预测持续门诊腹膜透析 (CAPD) 患者的残留功能下降. 结合临床因素和aSKNA的nomogram显示了早期检测的希望.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 心脏病学 心脏病学
- 自主神经科学 自主神经科学
背景情况:
- 剩余功能 (RRF) 对于接受连续门诊腹膜透析 (CAPD) 的患者至关重要.
- 心率变化 (HRV) 和自主神经系统 (ANS) 活动与RRF有关,但它们对RRF下降的预测值尚不清楚.
研究的目的:
- 调查HRV和其他ANS活动指数是否可以预测CAPD患者的1年RRF下降.
- 使用临床因素和ANS活动,开发RRF下降的预测模型.
主要方法:
- 98名CAPD患者被招募,具有临床特征,HRV和5分钟皮肤交感神经活动 (aSKNA) 的平均电压数据.
- 根据12个月的GFR下降,患者被分为RRF下降 (RRF-D) 和RRF稳定 (RRF-S) 组.
- 后勤回归和名图模型被用来分析1年RRF下降的预测因素.
主要成果:
- 与RRF-S组 (73名患者) 相比,RRF-D组 (25名患者) 显示了较高的缩血压和GFR,以及较低的血红蛋白,白蛋白和总Kt/V.
- RRF-D患者通常具有较低的HRV参数和aSKNA.
- 纳米图包括性别,静脉血压,血红蛋白,GFR,总Kt/V和aSKNA,达到0.940的AUC,预测1年的RRF下降.
结论:
- 整合临床因素和aSKNA的诺莫格拉姆模型显示,作为预测CAPD患者1年RRF下降的工具,具有潜力.
- aSKNA可以作为一种有价值的生物标志物来监测ANS功能,并预测CAPD中的RRF进展.
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