Donghyuk Kang MD , Kyu-Beck Lee MD, PhD , Tae-Hyun Yoo MD, PhD , Soo Wan Kim MD, PhD , Kook-Hwan Oh MD, PhD , Yaeni Kim MD, PhD
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With use of Fine and Gray subdistribution hazard models, the association between the SI and the primary outcome was analyzed.</p></div><div><h3>Results</h3><p>During a median follow-up of 6.0 (4.2 to 7.7) years, the primary composite renal outcome occurred in 528 (28.6%) patients within a median of 3.0 (1.8 to 5.0) years. In unadjusted and adjusted models, lower SI groups had a poor primary outcome compared with the highest group (quartile 4). The hazard ratios for quartiles 1, 2, and 3 compared with quartile 4 in the fully adjusted model were 4.47 (95% CI, 3.05 to 6.56; <em>P</em><.001), 3.08 (95% CI, 2.13 to 4.48; <em>P</em><.001), and 2.09 (95% CI, 1.45 to 3.01; <em>P</em><.001), respectively. Restricted cubic spline regression analyses found a relatively inverse linear relationship between the SI and the composite renal outcome.</p></div><div><h3>Conclusion</h3><p>The new SI is an independent predictor of renal outcomes. A low SI is associated with poor renal outcome.</p></div>","PeriodicalId":18334,"journal":{"name":"Mayo Clinic proceedings","volume":"99 9","pages":"Pages 1388-1398"},"PeriodicalIF":6.9000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact of Serum Creatinine– and Cystatin C–Based Sarcopenia Index on Renal Outcomes in Non–Dialysis-Dependent Chronic Kidney Disease Patients: Results From the KNOW-CKD Study\",\"authors\":\"Donghyuk Kang MD , Kyu-Beck Lee MD, PhD , Tae-Hyun Yoo MD, PhD , Soo Wan Kim MD, PhD , Kook-Hwan Oh MD, PhD , Yaeni Kim MD, PhD\",\"doi\":\"10.1016/j.mayocp.2024.03.009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><p>To evaluate the impact of the serum creatinine– and cystatin C–based new sarcopenia index (SI) on renal outcomes in non–dialysis-dependent patients with chronic kidney disease (CKD).</p></div><div><h3>Methods</h3><p>In this observational Korean Cohort Study for Outcome in Patients With CKD (KNOW-CKD), 1957 patients with CKD stage 1 to stage 4 were analyzed from 2011 to 2019. Men and women were separately assigned to quartile groups according to their SI. The primary outcome was a composite renal outcome consisting of 50% reduction in estimated glomerular filtration rate or end-stage kidney disease. With use of Fine and Gray subdistribution hazard models, the association between the SI and the primary outcome was analyzed.</p></div><div><h3>Results</h3><p>During a median follow-up of 6.0 (4.2 to 7.7) years, the primary composite renal outcome occurred in 528 (28.6%) patients within a median of 3.0 (1.8 to 5.0) years. In unadjusted and adjusted models, lower SI groups had a poor primary outcome compared with the highest group (quartile 4). The hazard ratios for quartiles 1, 2, and 3 compared with quartile 4 in the fully adjusted model were 4.47 (95% CI, 3.05 to 6.56; <em>P</em><.001), 3.08 (95% CI, 2.13 to 4.48; <em>P</em><.001), and 2.09 (95% CI, 1.45 to 3.01; <em>P</em><.001), respectively. 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引用次数: 0
摘要
目的评估基于血清肌酐和胱抑素 C 的新肌肉疏松指数(SI)对非透析依赖型慢性肾脏病(CKD)患者肾脏预后的影响:在这项韩国慢性肾脏病患者结局队列观察研究(KNOW-CKD)中,对2011年至2019年期间1957名慢性肾脏病1期至4期患者进行了分析。根据 SI 将男性和女性分别归入四分位组。主要结果是由估计肾小球滤过率降低 50% 或终末期肾病组成的综合肾病结果。通过使用 Fine 和 Gray 子分布危险模型,分析了 SI 与主要结果之间的关联:在中位数为 6.0(4.2 至 7.7)年的随访期间,有 528 例(28.6%)患者在中位数为 3.0(1.8 至 5.0)年的随访期间出现了主要综合肾病结果。在未调整和调整模型中,与最高组(四分位数 4)相比,较低 SI 组的主要结局较差。在完全调整模型中,四分位数 1、2 和 3 与四分位数 4 相比,危险比为 4.47(95% CI,3.05 至 6.56;PC 结论:新 SI 是一个独立的预测指标:新的 SI 是肾脏预后的独立预测指标。低 SI 与不良肾脏预后相关。
Impact of Serum Creatinine– and Cystatin C–Based Sarcopenia Index on Renal Outcomes in Non–Dialysis-Dependent Chronic Kidney Disease Patients: Results From the KNOW-CKD Study
Objective
To evaluate the impact of the serum creatinine– and cystatin C–based new sarcopenia index (SI) on renal outcomes in non–dialysis-dependent patients with chronic kidney disease (CKD).
Methods
In this observational Korean Cohort Study for Outcome in Patients With CKD (KNOW-CKD), 1957 patients with CKD stage 1 to stage 4 were analyzed from 2011 to 2019. Men and women were separately assigned to quartile groups according to their SI. The primary outcome was a composite renal outcome consisting of 50% reduction in estimated glomerular filtration rate or end-stage kidney disease. With use of Fine and Gray subdistribution hazard models, the association between the SI and the primary outcome was analyzed.
Results
During a median follow-up of 6.0 (4.2 to 7.7) years, the primary composite renal outcome occurred in 528 (28.6%) patients within a median of 3.0 (1.8 to 5.0) years. In unadjusted and adjusted models, lower SI groups had a poor primary outcome compared with the highest group (quartile 4). The hazard ratios for quartiles 1, 2, and 3 compared with quartile 4 in the fully adjusted model were 4.47 (95% CI, 3.05 to 6.56; P<.001), 3.08 (95% CI, 2.13 to 4.48; P<.001), and 2.09 (95% CI, 1.45 to 3.01; P<.001), respectively. Restricted cubic spline regression analyses found a relatively inverse linear relationship between the SI and the composite renal outcome.
Conclusion
The new SI is an independent predictor of renal outcomes. A low SI is associated with poor renal outcome.
期刊介绍:
Mayo Clinic Proceedings is a premier peer-reviewed clinical journal in general medicine. Sponsored by Mayo Clinic, it is one of the most widely read and highly cited scientific publications for physicians. Since 1926, Mayo Clinic Proceedings has continuously published articles that focus on clinical medicine and support the professional and educational needs of its readers. The journal welcomes submissions from authors worldwide and includes Nobel-prize-winning research in its content. With an Impact Factor of 8.9, Mayo Clinic Proceedings is ranked #20 out of 167 journals in the Medicine, General and Internal category, placing it in the top 12% of these journals. It invites manuscripts on clinical and laboratory medicine, health care policy and economics, medical education and ethics, and related topics.