{"title":"Erratum regarding the National Kidney Foundation 2025 Spring Clinical Meeting Abstracts (Am J Kid Dis. 2025;85(4S1):S1-S192)","authors":"","doi":"10.1053/j.ajkd.2025.04.005","DOIUrl":"10.1053/j.ajkd.2025.04.005","url":null,"abstract":"","PeriodicalId":7419,"journal":{"name":"American Journal of Kidney Diseases","volume":"85 6","pages":"Page 806"},"PeriodicalIF":9.4,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144105323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sex Inequities in Kidney Transplantation: A Persistent and Multifaceted Challenge","authors":"Priti Meena , Silvi Shah","doi":"10.1053/j.ajkd.2025.04.007","DOIUrl":"10.1053/j.ajkd.2025.04.007","url":null,"abstract":"","PeriodicalId":7419,"journal":{"name":"American Journal of Kidney Diseases","volume":"86 1","pages":"Pages 7-9"},"PeriodicalIF":9.4,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144114232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Michelle A. Baum, Mallory Mandel, Michael J.G. Somers
{"title":"Understanding Rare Kidney Stone Diseases: A Review","authors":"Michelle A. Baum, Mallory Mandel, Michael J.G. Somers","doi":"10.1053/j.ajkd.2025.03.023","DOIUrl":"10.1053/j.ajkd.2025.03.023","url":null,"abstract":"<div><div>Rare kidney stone diseases typically present with nephrolithiasis or nephrocalcinosis in childhood or adolescence. Affected individuals might face kidney injury and even kidney failure related to associated complications. Screening blood and urine tests recommended for patients with nephrolithiasis and/or nephrocalcinosis help guide further evaluation, and the increased availability and decreased costs of genetic testing can facilitate the diagnosis of hereditary stone conditions. Genetic testing should be considered when there are clinical clues of an increased likelihood of an inherited condition such as consanguinity, nephrolithiasis in young children, nephrolithiasis in multiple family members, repeated episodes of nephrolithiasis, or kidney failure with nephrolithiasis or nephrocalcinosis. Adult and pediatric nephrologists and urologists should have a basic understanding of monogenic rare kidney stone diseases and their associated diagnoses, treatments, and complications. In many disorders, early detection allows for the initiation of tailored therapies that may alter the natural history of the disease, preserve kidney function, and modify extrarenal manifestations.</div></div>","PeriodicalId":7419,"journal":{"name":"American Journal of Kidney Diseases","volume":"86 2","pages":"Pages 236-244"},"PeriodicalIF":9.4,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144087542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kevin Bryan Lo , Arun Janakiraman , Janani Rangaswami
{"title":"Kidney Dysfunction in Heart Failure: Core Curriculum 2025","authors":"Kevin Bryan Lo , Arun Janakiraman , Janani Rangaswami","doi":"10.1053/j.ajkd.2024.12.006","DOIUrl":"10.1053/j.ajkd.2024.12.006","url":null,"abstract":"<div><div>The pathophysiology of heart failure (HF) with kidney dysfunction is represented by several maladaptive bidirectional pathways wherein acute or chronic dysfunction of one organ drives acute or chronic dysfunction in the other organ. Suboptimal decongestion, diuretic resistance, and low use rates of guideline-directed medical therapy in individuals with kidney dysfunction and HF contribute to poor cardiovascular and kidney outcomes. Recent developments with the early identification and treatment of diuretic resistance may help mitigate the harmful effects of persistent congestion in individuals with HF. Several classes of guideline-directed medical therapies in HF have been shown to reduce death, hospitalizations for HF, and kidney function decline and improve quality of life. A combination of efficient and personalized strategies to achieve decongestion while optimizing the implementation of evidence-based therapies that modify the trajectory of HF are essential in tandem to reduce adverse outcomes and premature death in this high-risk patient population.</div></div>","PeriodicalId":7419,"journal":{"name":"American Journal of Kidney Diseases","volume":"86 1","pages":"Pages 109-124"},"PeriodicalIF":9.4,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144083297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Finitude and Transcendence: A Perspective on Treatment Burden From the Perspective of a Doctoral Researcher and a Former Patient on Peritoneal Dialysis","authors":"Kitty Sze Wing Ko","doi":"10.1053/j.ajkd.2025.02.604","DOIUrl":"10.1053/j.ajkd.2025.02.604","url":null,"abstract":"","PeriodicalId":7419,"journal":{"name":"American Journal of Kidney Diseases","volume":"86 1","pages":"Page A12"},"PeriodicalIF":9.4,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144065578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"CKD, Cardiovascular Risk Estimation, and Gaps in Therapy: A Shift to PREVENT","authors":"Tyrone G. Harrison , Matthew T. James","doi":"10.1053/j.ajkd.2025.04.004","DOIUrl":"10.1053/j.ajkd.2025.04.004","url":null,"abstract":"","PeriodicalId":7419,"journal":{"name":"American Journal of Kidney Diseases","volume":"86 1","pages":"Pages 4-6"},"PeriodicalIF":9.4,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144065579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chenxi Gao , Yunwen Xu , Sneha Mehta , Yingying Sang , Carina Flaherty , Aditya Surapaneni , Krutika Pandit , Alexander R. Chang , Jamie A. Green , Morgan E. Grams , Jung-Im Shin
{"title":"Validation of an Algorithm to Identify End-Stage Kidney Disease in Electronic Health Records Data","authors":"Chenxi Gao , Yunwen Xu , Sneha Mehta , Yingying Sang , Carina Flaherty , Aditya Surapaneni , Krutika Pandit , Alexander R. Chang , Jamie A. Green , Morgan E. Grams , Jung-Im Shin","doi":"10.1053/j.ajkd.2025.03.021","DOIUrl":"10.1053/j.ajkd.2025.03.021","url":null,"abstract":"<div><h3>Rationale & Objectives</h3><div>Accurate ascertainment of end-stage kidney disease (ESKD) in electronic health records (EHRs) data is important for much epidemiological research. This study developed and validated an algorithm using diagnosis and procedure codes to identify patients with ESKD (treated with maintenance dialysis or kidney transplantation) in EHR data.</div></div><div><h3>Study Design</h3><div>Study of diagnostic algorithms.</div></div><div><h3>Setting & Participants</h3><div>The development cohort included 559,615 patients treated at the Geisinger Health System (January 1996-June 2018). The validation cohort included 767,186 patients treated at New York University Langone Health System (January 2018 to December 2020).</div></div><div><h3>Algorithms Compared</h3><div>The algorithm used diagnosis and procedure codes compared with a nominal gold standard designation within the United States Renal Data System (USRDS) data. The performance of the algorithm was characterized by sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). The dates of incident ESKD between the algorithm and USRDS were compared in a subset of cases.</div></div><div><h3>Outcome</h3><div>ESKD (maintenance dialysis, prior recipient of a kidney transplant, or kidney transplantation surgery) cases.</div></div><div><h3>Results</h3><div>In Geisinger, we developed an ESKD algorithm that identified 4,766 (0.85%) ESKD cases; there were 5,155 (0.92%) ESKD cases reported by the USRDS. The sensitivity, specificity, PPV, and NPV of the algorithm were 73.9% (95% CI, 72.7-75.1%), 99.83% (99.82-99.84%), 79.9% (78.9-81.0%), and 99.76% (99.75-99.77%), respectively. When applying the algorithm to New York University Langone Health System data, the sensitivity, specificity, PPV, and NPV were 71.8% (95% CI, 70.7-73.0%), 99.95% (99.95-99.96%), 91.6% (90.8-92.4%), and 99.79 (99.78-99.80%), respectively. The median difference between dates of incident ESKD (algorithms minus USRDS) was<!--> <!-->−3 (IQR, −21 to 83) days for Geisinger and 0 (IQR, −12 to 69) days for New York University Langone Health.</div></div><div><h3>Limitations</h3><div>Use of structured EHRs data only.</div></div><div><h3>Conclusions</h3><div>Algorithms combining diagnosis and procedure codes show high specificity and modest sensitivity for identifying patients with ESKD, providing a research tool to inform future EHRs-based studies.</div></div><div><h3>Plain-Language Summary</h3><div>Although electronic health records (EHRs) data holds great promise for advancing kidney research, little work has been done to accurately identify ESKD cases in these data. This study developed and validated an algorithm using diagnosis and procedure codes to identify ESKD in EHRs. Our findings showed that the algorithm performed consistently in 2 different health systems, demonstrating high specificity and negative predictive values but lower sensitivity and positive predictive","PeriodicalId":7419,"journal":{"name":"American Journal of Kidney Diseases","volume":"86 2","pages":"Pages 212-221.e1"},"PeriodicalIF":9.4,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144087502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}