Recovery of kidney function after acute kidney disease-a multi-cohort analysis

被引:11
作者
Sawhney, Simon [1 ,2 ]
Ball, William [1 ]
Bell, Samira [3 ]
Black, Corri [1 ,2 ]
Christiansen, Christian F. [4 ,5 ]
Heide-Jorgensen, Uffe [4 ,5 ]
Jensen, Simon K. [4 ,5 ]
Lambourg, Emilie [3 ]
Ronksley, Paul E. [6 ]
Tan, Zhi [7 ]
Tonelli, Marcello [6 ,7 ]
James, Matthew T. [6 ,7 ]
机构
[1] Univ Aberdeen, Aberdeen Ctr Hlth Data Sci, Sch Med Med Sci & Nutr, Aberdeen, Scotland
[2] NHS Grampian, Dept Renal Med, Aberdeen, Scotland
[3] Univ Dundee, Div Populat Hlth & Genom, Dundee, Scotland
[4] Aarhus Univ, Dept Clin Epidemiol, Dept Clin Med, Aarhus, Denmark
[5] Aarhus Univ Hosp, Aarhus, Denmark
[6] Univ Calgary, Obrien Inst Publ Hlth, Cumming Sch Med, Dept Community Hlth Sci, Calgary, AB, Canada
[7] Univ Calgary, Cumming Sch Med, Dept Med, Calgary, AB, Canada
基金
英国惠康基金; 英国医学研究理事会;
关键词
AKI; CKD; epidemiology; prognosis; recovery; EXTERNAL VALIDATION; PREDICTION MODELS; INJURY; RISK; EPIDEMIOLOGY; DATABASES; OUTCOMES; CKD;
D O I
10.1093/ndt/gfad180
中图分类号
R3 [基础医学]; R4 [临床医学];
学科分类号
1001 ; 1002 ; 100602 ;
摘要
Background There are no consensus definitions for evaluating kidney function recovery after acute kidney injury (AKI) and acute kidney disease (AKD), nor is it clear how recovery varies across populations and clinical subsets. We present a federated analysis of four population-based cohorts from Canada, Denmark and Scotland, 2011-18.Methods We identified incident AKD defined by serum creatinine changes within 48 h, 7 days and 90 days based on KDIGO AKI and AKD criteria. Separately, we applied changes up to 365 days to address widely used e-alert implementations that extend beyond the KDIGO AKI and AKD timeframes. Kidney recovery was based on resolution of AKD and a subsequent creatinine measurement below 1.2x baseline. We evaluated transitions between non-recovery, recovery and death up to 1 year; within age, sex and comorbidity subgroups; between subset AKD definitions; and across cohorts.Results There were 464 868 incident cases, median age 67-75 years. At 1 year, results were consistent across cohorts, with pooled mortalities for creatinine changes within 48 h, 7 days, 90 days and 365 days (and 95% confidence interval) of 40% (34%-45%), 40% (34%-46%), 37% (31%-42%) and 22% (16%-29%) respectively, and non-recovery of kidney function of 19% (15%-23%), 30% (24%-35%), 25% (21%-29%) and 37% (30%-43%), respectively. Recovery by 14 and 90 days was frequently not sustained at 1 year. Older males and those with heart failure or cancer were more likely to die than to experience sustained non-recovery, whereas the converse was true for younger females and those with diabetes.Conclusion Consistently across multiple cohorts, based on 1-year mortality and non-recovery, KDIGO AKD (up to 90 days) is at least prognostically similar to KDIGO AKI (7 days), and covers more people. Outcomes associated with AKD vary by age, sex and comorbidities such that older males are more likely to die, and younger females are less likely to recover. Graphical Abstract
引用
收藏
页码:426 / 435
页数:10
相关论文
共 30 条
[1]   Development and external validation of an acute kidney injury risk score for use in the general population [J].
Bell, Samira ;
James, Matthew T. ;
Farmer, Chris K. T. ;
Tan, Zhi ;
de Souza, Nicosha ;
Witham, Miles D. .
CLINICAL KIDNEY JOURNAL, 2020, 13 (03) :402-412
[2]   Acute kidney disease and renal recovery: consensus report of the Acute Disease Quality Initiative (ADQI) 16 Workgroup [J].
Chawla, Lakhmir S. ;
Bellomo, Rinaldo ;
Bihorac, Azra ;
Goldstein, Stuart L. ;
Siew, Edward D. ;
Bagshaw, Sean M. ;
Bittleman, David ;
Cruz, Dinna ;
Endre, Zoltan ;
Fitzgerald, Robert L. ;
Forni, Lui ;
Kane-Gill, Sandra L. ;
Hoste, Eric ;
Koyner, Jay ;
Liu, Kathleen D. ;
Macedo, Etienne ;
Mehta, Ravindra ;
Murray, Patrick ;
Nadim, Mitra ;
Ostermann, Marlies ;
Palevsky, Paul M. ;
Pannu, Neesh ;
Rosner, Mitchell ;
Wald, Ron ;
Zarbock, Alexander ;
Ronco, Claudio ;
Kellum, John A. .
NATURE REVIEWS NEPHROLOGY, 2017, 13 (04) :241-257
[3]   Preadmission kidney function and risk of acute kidney injury in patients hospitalized with acute pyelonephritis: A Danish population-based cohort study [J].
Graversen, Henriette Vendelbo ;
Norgaard, Mette ;
Nitsch, Dorothea ;
Christiansen, Christian Fynbo .
PLOS ONE, 2021, 16 (03)
[4]   Developing an AKI Consensus Definition for Database Research: Findings From a Scoping Review and Expert Opinion Using a Delphi Process [J].
Guthrie, Greg ;
Guthrie, Bruce ;
Walker, Heather ;
James, Matthew T. ;
Selby, Nicholas M. ;
Tonelli, Marcello ;
Bell, Samira .
AMERICAN JOURNAL OF KIDNEY DISEASES, 2022, 79 (04) :488-+
[5]   Overview of the Alberta Kidney Disease Network [J].
Hemmelgarn, Brenda R. ;
Clement, Fiona ;
Manns, Braden J. ;
Klarenbach, Scott ;
James, Matthew T. ;
Ravani, Pietro ;
Pannu, Neesh ;
Ahmed, Sofia B. ;
MacRae, Jennifer ;
Scott-Douglas, Nairne ;
Jindal, Kailash ;
Quinn, Robert ;
Culleton, Bruce F. ;
Wiebe, Natasha ;
Krause, Richard ;
Thorlacius, Laurel ;
Tonelli, Marcello .
BMC NEPHROLOGY, 2009, 10
[6]   Acute Kidney Injury Recovery Pattern and Subsequent Risk of CKD: An Analysis of Veterans Health Administration Data [J].
Heung, Michael ;
Steffick, Diane E. ;
Zivin, Kara ;
Gillespie, Brenda W. ;
Banerjee, Tanushree ;
Hsu, Chi-yuan ;
Powe, Neil R. ;
Pavkov, Meda E. ;
Williams, Desmond E. ;
Saran, Rajiv ;
Shahinian, Vahakn B. .
AMERICAN JOURNAL OF KIDNEY DISEASES, 2016, 67 (05) :742-752
[7]   New Creatinine- and Cystatin C-Based Equations to Estimate GFR without Race [J].
Inker, Lesley A. ;
Eneanya, Nwamaka D. ;
Coresh, Josef ;
Tighiouart, Hocine ;
Wang, Dan ;
Sang, Yingying ;
Crews, Deidra C. ;
Doria, Alessandro ;
Estrella, Michelle M. ;
Froissart, Marc ;
Grams, Morgan E. ;
Greene, Tom ;
Grubb, Anders ;
Gudnason, Vilmundur ;
Gutierrez, Orlando M. ;
Kalil, Roberto ;
Karger, Amy B. ;
Mauer, Michael ;
Navis, Gerjan ;
Nelson, Robert G. ;
Poggio, Emilio D. ;
Rodby, Roger ;
Rossing, Peter ;
Rule, Andrew D. ;
Selvin, Elizabeth ;
Seegmiller, Jesse C. ;
Shlipak, Michael G. ;
Torres, Vicente E. ;
Yang, Wei ;
Ballew, Shoshana H. ;
Couture, Sara J. ;
Powe, Neil R. ;
Levey, Andrew S. .
NEW ENGLAND JOURNAL OF MEDICINE, 2021, 385 (19) :1737-1749
[8]  
Interdisciplinary Chronic Disease Collaboration, 2022, DAT PROGR RES
[9]   Alerting to acute kidney injury - Challenges, benefits, and strategies [J].
Ivica, Josko ;
Sanmugalingham, Geetha ;
Selvaratnam, Rajeevan .
PRACTICAL LABORATORY MEDICINE, 2022, 30
[10]   Derivation and External Validation of Prediction Models for Advanced Chronic Kidney Disease Following Acute Kidney Injury [J].
James, Matthew T. ;
Pannu, Neesh ;
Hemmelgarn, Brenda R. ;
Austin, Peter C. ;
Tan, Zhi ;
McArthur, Eric ;
Manns, Braden J. ;
Tonelli, Marcello ;
Wald, Ron ;
Quinn, Robert R. ;
Ravani, Pietro ;
Garg, Amit X. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2017, 318 (18) :1787-1797