Probing the Association between Acute Kidney Injury and Cardiovascular Outcomes.


Journal

Clinical journal of the American Society of Nephrology : CJASN
ISSN: 1555-905X
Titre abrégé: Clin J Am Soc Nephrol
Pays: United States
ID NLM: 101271570

Informations de publication

Date de publication:
28 Apr 2023
Historique:
received: 10 01 2023
accepted: 17 04 2023
pmc-release: 01 07 2024
pubmed: 29 4 2023
medline: 29 4 2023
entrez: 28 4 2023
Statut: aheadofprint

Résumé

Patients hospitalized with AKI have higher subsequent risks of heart failure, atherosclerotic cardiovascular events, and mortality than their counterparts without AKI, but these higher risks may be due to differences in prehospitalization patient characteristics, including the baseline level of estimated glomerular filtration rate (eGFR), the rate of prior eGFR decline, and the proteinuria level, rather than AKI itself. Among 2177 adult participants in the Chronic Renal Insufficiency Cohort study who were hospitalized in 2013-2019, we compared subsequent risks of heart failure, atherosclerotic cardiovascular events, and mortality between those with serum creatinine-based AKI (495 patients) and those without AKI (1682 patients). We report both crude associations and associations sequentially adjusted for prehospitalization characteristics including eGFR, eGFR slope, and urine protein-creatinine ratio (UPCR). Compared with patients hospitalized without AKI, those with hospitalized AKI had lower eGFR prehospitalization (42 versus 49 ml/min per 1.73 m 2 ), faster chronic loss of eGFR prehospitalization (-0.84 versus -0.51 ml/min per 1.73 m 2 per year), and more proteinuria prehospitalization (UPCR 0.28 versus 0.16 g/g); they also had higher prehospitalization systolic BP (130 versus 127 mm Hg; P < 0.01 for all comparisons). Adjustment for prehospitalization patient characteristics attenuated associations between AKI and all three outcomes, but AKI remained an independent risk factor. Attenuation of risk was similar after adjustment for absolute eGFR, eGFR slope, or proteinuria, individually or in combination. Prehospitalization variables including eGFR, eGFR slope, and proteinuria confounded associations between AKI and adverse cardiovascular outcomes, but these associations remained significant after adjusting for prehospitalization variables.

Sections du résumé

BACKGROUND BACKGROUND
Patients hospitalized with AKI have higher subsequent risks of heart failure, atherosclerotic cardiovascular events, and mortality than their counterparts without AKI, but these higher risks may be due to differences in prehospitalization patient characteristics, including the baseline level of estimated glomerular filtration rate (eGFR), the rate of prior eGFR decline, and the proteinuria level, rather than AKI itself.
METHODS METHODS
Among 2177 adult participants in the Chronic Renal Insufficiency Cohort study who were hospitalized in 2013-2019, we compared subsequent risks of heart failure, atherosclerotic cardiovascular events, and mortality between those with serum creatinine-based AKI (495 patients) and those without AKI (1682 patients). We report both crude associations and associations sequentially adjusted for prehospitalization characteristics including eGFR, eGFR slope, and urine protein-creatinine ratio (UPCR).
RESULTS RESULTS
Compared with patients hospitalized without AKI, those with hospitalized AKI had lower eGFR prehospitalization (42 versus 49 ml/min per 1.73 m 2 ), faster chronic loss of eGFR prehospitalization (-0.84 versus -0.51 ml/min per 1.73 m 2 per year), and more proteinuria prehospitalization (UPCR 0.28 versus 0.16 g/g); they also had higher prehospitalization systolic BP (130 versus 127 mm Hg; P < 0.01 for all comparisons). Adjustment for prehospitalization patient characteristics attenuated associations between AKI and all three outcomes, but AKI remained an independent risk factor. Attenuation of risk was similar after adjustment for absolute eGFR, eGFR slope, or proteinuria, individually or in combination.
CONCLUSIONS CONCLUSIONS
Prehospitalization variables including eGFR, eGFR slope, and proteinuria confounded associations between AKI and adverse cardiovascular outcomes, but these associations remained significant after adjusting for prehospitalization variables.

Identifiants

pubmed: 37116457
doi: 10.2215/CJN.0000000000000163
pii: 01277230-990000000-00137
pmc: PMC10356151
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIDDK NIH HHS
ID : K23 DK120811
Pays : United States
Organisme : NIDDK NIH HHS
ID : K23 DK128605
Pays : United States
Organisme : NIGMS NIH HHS
ID : P20 GM109036
Pays : United States

Investigateurs

Lawrence J Appel (LJ)
Debbie L Cohen (DL)
Harold I Feldman (HI)
Robert G Nelson (RG)
Mahboob Rahman (M)
Panduranga S Rao (PS)
Vallabh O Shah (VO)
Mark L Unruh (ML)

Informations de copyright

Copyright © 2023 by the American Society of Nephrology.

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Auteurs

Ian E McCoy (IE)

Division of Nephrology, University of California San Francisco, San Francisco, California.

Jesse Y Hsu (JY)

Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania.

Xiaoming Zhang (X)

Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania.

Clarissa J Diamantidis (CJ)

Department of Medicine, Duke University School of Medicine, Durham, North Carolina.

Jonathan Taliercio (J)

Department of Kidney Medicine, Cleveland Clinic Foundation, Cleveland, Ohio.

Alan S Go (AS)

Division of Research, Kaiser Permanente Northern California, Oakland, California.

Kathleen D Liu (KD)

Division of Nephrology, University of California San Francisco, San Francisco, California.

Paul Drawz (P)

Division of Nephrology and Hypertension, University of Minnesota, Minneapolis, Minnesota.

Anand Srivastava (A)

Division of Nephrology, Department of Medicine, University of Illinois Chicago, Chicago, Illinois.

Edward J Horwitz (EJ)

Division of Nephrology, MetroHealth Medical Center, Case Western Reserve University, Cleveland, Ohio.

Jiang He (J)

Department of Epidemiology, Tulane University, New Orleans, Louisiana.

Jing Chen (J)

Department of Epidemiology, Tulane University, New Orleans, Louisiana.
Division of Nephrology, Tulane University, New Orleans, Louisiana.

James P Lash (JP)

Department of Medicine, University of Illinois College of Medicine at Chicago, Chicago, Illinois.

Matthew R Weir (MR)

Division of Nephrology, University of Maryland School of Medicine, Baltimore, Maryland.

Chi-Yuan Hsu (CY)

Division of Nephrology, University of California San Francisco, San Francisco, California.
Division of Research, Kaiser Permanente Northern California, Oakland, California.

Classifications MeSH