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预测新基线膜过率 (NBGFR) 经过供体切除术后:基于分裂功能 (SRF) 的公式的验证
Hoi Pong Nicholas Wong1, Wei Zheng So2, Vineet Gauhar3
1Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore. nichwong9@gmail.com.
World journal of urology
|January 20, 2024
概括
使用分裂功能 (SRF) 的新配方准确地预测了捐赠脏切除术后的新基线球透率 (NBGFR). 这个工具有助于评估和咨询活着的脏捐赠者关于术后结果.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
- 外科手术的结果
背景情况:
- 预测捐赠脏切除术 (DN) 后的膜过率 (GFR) 对于活着的脏捐赠者的评估和咨询至关重要.
- 目前,对于估计DN后的新基线GFR (NBGFR) 的工具有限.
- 这项研究验证了基于分裂功能 (SRF) 的公式,用于NBGFR预测.
研究的目的:
- 验证一种简单的基于SRF的公式,用于预测捐赠者的NBGFR.
- 在一个活着的脏捐赠者队列中评估SRF公式的准确性和可靠性.
主要方法:
- 分析了从2010年至2016年接受DN的83名患者.
- 在手术前CT成像确定SRF (对侧体积/体积总量).
- 使用公式:预测的NBGFR = 1.24 × (DN前全球GFR) × (SRF).
主要成果:
- 基于SRF的公式与观察到的NBGFR有很强的相关性 (皮尔森的r=0.729).
- 该预测显示出最小的偏差 (中位数差异=7.190毫升/分钟/1.73米2).
- 观察到高精度:96.4%在±30%和62.7%在±15%的观察到的NBGFR.
结论:
- 基于SRF的配方准确地预测了活体脏捐赠者的NBGFR.
- 该配方可以有效地区分NBGFR> 45mL/min/1.73m2.2的患者.
- 通过这种预测工具,为捐赠者的术后脏结果提供了优化的术前咨询.
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