Background: Acute kidney injury (AKI) is a major contributor to end-stage kidney disease (ESKD). About one-third of patients with ESKD due to AKI recover kidney function. However, the inability to accurately predict recovery leads to improper triage of clinical monitoring and impacts the quality of care in ESKD.
Methods: Using data from the United States Renal Data System from 2005 to 2014 ( = 22 922), we developed a clinical score to predict kidney recovery within 90 days and within 12 months after dialysis initiation in patients with ESKD due to AKI. Multivariable logistic regressions were used to examine the effect of various covariates on the primary outcome of kidney recovery to develop the scoring system. The resulting logistic parameter estimates were transformed into integer point totals by doubling and rounding the estimates. Internal validation was performed.
Results: Twenty-four percent and 34% of patients with ESKD due to AKI recovered kidney function within 90 days and 12 months, respectively. Factors contributing to points in the two scoring systems were similar but not identical, and included age, race/ethnicity, body mass index, congestive heart failure, cancer, amputation, functional status, hemoglobin and prior nephrology care. Three score categories of increasing recovery were formed: low score (0-6), medium score (7-9) and high score (10-12), which exhibited 90-day recovery rates of 12%, 26% and 57%. For the 12-month scores, the low, medium and high groups consisted of scores 0-5, 6-8 and 9-11, with 12-month recovery rates of 16%, 33% and 62%, respectively. The internal validation assessment showed no overfitting of the models.
Conclusion: A clinical score derived from information available at incident dialysis predicts renal recovery at 90 days and 12 months in patients with presumed ESKD due to AKI. The score can help triage appropriate monitoring to facilitate recovery and begin planning long-term dialysis care for others.
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http://dx.doi.org/10.1093/ckj/sfae085 | DOI Listing |
Clin J Am Soc Nephrol
December 2024
Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD.
Background: Acute kidney injury (AKI) increases the risk for chronic kidney disease (CKD). We aimed to identify combinations of clinical variables and biomarkers that predict long-term kidney disease risk after AKI.
Methods: We analyzed data from a prospective cohort of 723 hospitalized patients with AKI in the Assessment, Serial Evaluation, and Subsequent Sequelae of AKI (ASSESS-AKI) Study.
Atherosclerosis
November 2024
AKI-CARE (Clinical Advancement, Research and Education) Center, Department of Internal Medicine, China Medical University Hospital and College of Medicine, China Medical University, Taichung, Taiwan; Division of Nephrology, Department of Internal Medicine, China Medical University Hospital and College of Medicine, China Medical University, Taichung, Taiwan; Big Data Center, China Medical University Hospital and College of Medicine, China Medical University, Taichung, Taiwan. Electronic address:
Background And Aims: The interaction between full-spectrum chronic kidney disease (CKD) and atrial fibrillation (AF) on ischemic stroke and all-cause mortality risk, particularly in stage 4 and 5 CKD, remains undetermined.
Methods: This matched cohort study identified incident AF patients using the International Classification of Disease codes and electrocardiograms from the Clinical Research Data Repository of China Medical University Hospital between 2003 and 2020. For each AF patient, we selected four controls without AF and matched them by age, sex, eGFR within 10 mL/min/1.
J Diabetes Investig
November 2024
Division of Nephrology, Department of Internal Medicine, Shin-Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan.
Introduction: Developing a more effective treatment for the global impact of diabetic kidney disease is crucial. This study examined the renoprotective effects of combining glucagon-like peptide-1 receptor agonists (GLP-1 RA) with sodium-glucose cotransporter 2 inhibitors (SGLT2i) compared to SGLT2is alone in type 2 diabetes (DM).
Materials And Methods: This retrospective cohort study used data from the TriNetX Global Collaborative Network.
Kidney Int Rep
November 2024
Kidney Health Research Collaborative, Veterans Affairs San Francisco Healthcare System and University of California San Francisco, San Francisco, California, USA.
Introduction: Urine epidermal growth factor (uEGF) has been found to be inversely associated with kidney function loss, whereas its associations with cardiovascular disease (CVD) and mortality have not been studied.
Methods: We measured baseline uEGF levels among 2346 Systolic Blood Pressure Intervention Trial (SPRINT) participants with an estimated glomerular filtration rate (eGFR) < 60 ml/min per 1.73 m.
Sci Rep
November 2024
Department of Medicine, Khoo Teck Puat hospital, Singapore, 768828, Singapore.
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