Association of Low Glomerular Filtration Rate With Adverse Outcomes at Older Age in a Large Population With Routinely Measured Cystatin C.

Journal

Annals of internal medicine
ISSN: 1539-3704
Titre abrégé: Ann Intern Med
Pays: United States
ID NLM: 0372351

Informations de publication

Date de publication:
Mar 2024
Historique:
pubmed: 29 1 2024
medline: 29 1 2024
entrez: 29 1 2024
Statut: ppublish

Résumé

The commonly accepted threshold of glomerular filtration rate (GFR) to define chronic kidney disease (CKD) is less than 60 mL/min/1.73 m To evaluate associations in older adults between eGFR Population-based cohort study. Stockholm, Sweden, 2010 to 2019. 82 154 participants aged 65 years or older with outpatient creatinine and cystatin C testing. Hazard ratios for all-cause mortality, cardiovascular mortality, and kidney failure with replacement therapy (KFRT); incidence rate ratios for recurrent hospitalizations, infection, myocardial infarction or stroke, heart failure, and acute kidney injury. The associations between eGFR No GFR measurements. Compared with low eGFR Swedish Research Council, National Institutes of Health, and Dutch Kidney Foundation.

Sections du résumé

BACKGROUND UNASSIGNED
The commonly accepted threshold of glomerular filtration rate (GFR) to define chronic kidney disease (CKD) is less than 60 mL/min/1.73 m
OBJECTIVE UNASSIGNED
To evaluate associations in older adults between eGFR
DESIGN UNASSIGNED
Population-based cohort study.
SETTING UNASSIGNED
Stockholm, Sweden, 2010 to 2019.
PARTICIPANTS UNASSIGNED
82 154 participants aged 65 years or older with outpatient creatinine and cystatin C testing.
MEASUREMENTS UNASSIGNED
Hazard ratios for all-cause mortality, cardiovascular mortality, and kidney failure with replacement therapy (KFRT); incidence rate ratios for recurrent hospitalizations, infection, myocardial infarction or stroke, heart failure, and acute kidney injury.
RESULTS UNASSIGNED
The associations between eGFR
LIMITATION UNASSIGNED
No GFR measurements.
CONCLUSION UNASSIGNED
Compared with low eGFR
PRIMARY FUNDING SOURCE UNASSIGNED
Swedish Research Council, National Institutes of Health, and Dutch Kidney Foundation.

Identifiants

DOI: 10.7326/M23-1138 PMID: 38285982
pubmed: 38285982
doi: 10.7326/M23-1138
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

269-279

Auteurs

Edouard L Fu (EL)

Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts; and Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands (E.L.F.).
ORCID: 0000-0002-9698-6825

Juan-Jesus Carrero (JJ)

Department of Medical Epidemiology and Biostatistics, Karolinska Institute, and Division of Nephrology, Department of Clinical Sciences, Karolinska Institute, Danderyd Hospital, Stockholm, Sweden (J.-J.C.).
ORCID: 0000-0003-4763-2024

Yingying Sang (Y)

Optimal Aging Institute and Division of Epidemiology, Department of Population Health, New York University Grossman School of Medicine, New York, New York (Y.S.).
ORCID: 0000-0002-6179-7864

Marie Evans (M)

Department of Clinical Intervention and Technology, Karolinska University Hospital and Karolinska Institute, Stockholm, Sweden (M.E.).
ORCID: 0000-0001-8650-5795

Junichi Ishigami (J)

Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland (J.I.).
ORCID: 0000-0002-6396-3723

Lesley A Inker (LA)

Division of Nephrology, Department of Internal Medicine, Tufts Medical Center, Boston, Massachusetts (L.A.I., A.S.L.).

Morgan E Grams (ME)

Division of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, New York (M.E.G.).
ORCID: 0000-0002-4430-6023

Andrew S Levey (AS)

Division of Nephrology, Department of Internal Medicine, Tufts Medical Center, Boston, Massachusetts (L.A.I., A.S.L.).
ORCID: 0000-0003-1491-501X

Josef Coresh (J)

Optimal Aging Institute and Division of Epidemiology, Department of Population Health, New York University Grossman School of Medicine, New York, New York, and Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland (J.C., S.H.B.).
ORCID: 0000-0002-4598-0669

Shoshana H Ballew (SH)

Optimal Aging Institute and Division of Epidemiology, Department of Population Health, New York University Grossman School of Medicine, New York, New York, and Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland (J.C., S.H.B.).
ORCID: 0000-0002-7547-3764

Classifications MeSH