Post-Acute Kidney Injury Proteinuria and Subsequent Kidney Disease Progression: The Assessment, Serial Evaluation, and Subsequent Sequelae in Acute Kidney Injury (ASSESS-AKI) Study.
Journal
JAMA internal medicine
ISSN: 2168-6114
Titre abrégé: JAMA Intern Med
Pays: United States
ID NLM: 101589534
Informations de publication
Date de publication:
01 03 2020
01 03 2020
Historique:
pubmed:
28
1
2020
medline:
3
11
2020
entrez:
28
1
2020
Statut:
ppublish
Résumé
Among patients who had acute kidney injury (AKI) during hospitalization, there is a need to improve risk prediction such that those at highest risk for subsequent loss of kidney function are identified for appropriate follow-up. To evaluate the association of post-AKI proteinuria with increased risk of future loss of renal function. The Assessment, Serial Evaluation, and Subsequent Sequelae in Acute Kidney Injury (ASSESS-AKI) Study was a multicenter prospective cohort study including 4 clinical centers in North America included 1538 patients enrolled 3 months after hospital discharge between December 2009 and February 2015. Urine albumin-to-creatinine ratio (ACR) quantified 3 months after hospital discharge. Kidney disease progression defined as halving of estimated glomerular filtration rate (eGFR) or end-stage renal disease. Of the 1538 participants, 769 (50%) had AKI durring hospitalization. The baseline study visit took place at a mean (SD) 91 (23) days after discharge. The mean (SD) age was 65 (13) years; the median eGFR was 68 mL/min/1.73 m2; and the median urine ACR was 15 mg/g. Overall, 547 (37%) study participants were women and 195 (13%) were black. After a median follow-up of 4.7 years, 138 (9%) participants had kidney disease progression. Higher post-AKI urine ACR level was associated with increased risk of kidney disease progression (hazard ratio [HR], 1.53 for each doubling; 95% CI, 1.45-1.62), and urine ACR measurement was a strong discriminator for future kidney disease progression (C statistic, 0.82). The performance of urine ACR was stronger in patients who had had AKI than in those who had not (C statistic, 0.70). A comprehensive model of clinical risk factors (eGFR, blood pressure, and demographics) including ACR provided better discrimination for predicting kidney disease progression after hospital discharge among those who had had AKI (C statistic, 0.85) vs those who had not (C statistic, 0.76). In the entire matched cohort, after taking into account urine ACR, eGFR, demographics, and traditional chronic kidney risk factors determined 3 months after discharge, AKI (HR, 1.46; 95% CI, 0.51-4.13 for AKI vs non-AKI) or severity of AKI (HR, 1.54; 95% CI, 0.50-4.72 for AKI stage 1 vs non-AKI; HR, 0.56; 95% CI, 0.07-4.84 for AKI stage 2 vs non-AKI; HR, 2.24; 95% CI, 0.33-15.29 for AKI stage 3 vs non-AKI) was not independently associated with more rapid kidney disease progression. Proteinuria level is a valuable risk-stratification tool in the post-AKI period. These results suggest there should be more widespread and routine quantification of proteinuria after hospitalized AKI.
Identifiants
pubmed: 31985750
pii: 2759742
doi: 10.1001/jamainternmed.2019.6390
pmc: PMC6990681
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
402-410Subventions
Organisme : NIDDK NIH HHS
ID : R01 DK114014
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK098233
Pays : United States
Organisme : NIDDK NIH HHS
ID : K23 DK100468
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK082185
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK082192
Pays : United States
Organisme : NIDDK NIH HHS
ID : R03 DK111881
Pays : United States
Organisme : NIDDK NIH HHS
ID : P50 DK096418
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK082183
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK082223
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK101507
Pays : United States
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