Predicting Kidney Outcomes in Autosomal Dominant Polycystic Kidney Disease: A Comprehensive Biomarker Analysis.

IF 8.5 1区 医学 Q1 UROLOGY & NEPHROLOGY
Thomas Bais, Martine G E Knol, Laixi Xue, Paul Geertsema, Priya Vart, Franz Reichel, Sita Arjune, Roman-Ulrich Müller, Shosha E I Dekker, Mahdi Salih, Esther Meijer, Ron T Gansevoort
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引用次数: 0
预测常染色体显性多囊肾病的肾脏预后:一个综合的生物标志物分析。
背景:常染色体显性多囊肾病(ADPKD)的风险分层工具在群体水平上预测肾脏预后,但在个体水平上缺乏准确性。方法:我们评估了在已知危险因素(性别、年龄、估计肾小球滤过率(eGFR)、收缩压、梅奥成像等级(MIC)和突变类型)基础上增加13种预后生物标志物预测疾病进展的价值。我们纳入了来自DIPAK(制定干预策略以阻止常染色体显性多囊肾病进展)队列的596例患者,这些患者的eGFR测量值≥2,随访≥1年。结果:在平均±SD随访5.0±2.3年期间,平均±SD eGFR斜率为-3.46±2.5 mL/min/1.73m2/年。303例患者(50.8%)出现快速疾病进展(eGFR损失≥3ml /min/1.73m2/年),279例患者(46.8%)达到肾衰竭或eGFR下降30%的联合终点。尿白蛋白/肌酐、尿单核细胞趋化蛋白-1 (MCP-1)/肌酐和血清copeptin一致且独立地预测eGFR斜率(均为P)。结论:我们的研究结果表明,将这些生物标志物纳入ADPKD风险分层工具将改善风险预测,即使在预测最具挑战性和相关性的亚组中也是如此。
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来源期刊
CiteScore
12.20
自引率
3.10%
发文量
514
审稿时长
3-6 weeks
期刊介绍: The Clinical Journal of the American Society of Nephrology strives to establish itself as the foremost authority in communicating and influencing advances in clinical nephrology by (1) swiftly and effectively disseminating pivotal developments in clinical and translational research in nephrology, encompassing innovations in research methods and care delivery; (2) providing context for these advances in relation to future research directions and patient care; and (3) becoming a key voice on issues with potential implications for the clinical practice of nephrology, particularly within the United States. Original manuscript topics cover a range of areas, including Acid/Base and Electrolyte Disorders, Acute Kidney Injury and ICU Nephrology, Chronic Kidney Disease, Clinical Nephrology, Cystic Kidney Disease, Diabetes and the Kidney, Genetics, Geriatric and Palliative Nephrology, Glomerular and Tubulointerstitial Diseases, Hypertension, Maintenance Dialysis, Mineral Metabolism, Nephrolithiasis, and Transplantation.
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