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Estimated glomerular filtration rate, albuminuria, and risk of infection: a collaborative meta-analysis of individual participant data.

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Title: Estimated glomerular filtration rate, albuminuria, and risk of infection: a collaborative meta-analysis of individual participant data.
Authors: Ishigami J; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA., Surapaneni A; Division of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA., Matsushita K; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA., Coresh J; Optimal Aging Institute, New York University Grossman School of Medicine, New York, NY, USA., Grams ME; Division of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA., Ballew SH; Optimal Aging Institute, New York University Grossman School of Medicine, New York, NY, USA., Sang Y; Optimal Aging Institute, New York University Grossman School of Medicine, New York, NY, USA., Stengel B; Centre for Research in Epidemiology and Population Health (CESP), Paris-Saclay University, Inserm U1018, Versailles Saint-Quentin University, Clinical Epidemiology Team, Villejuif, France., Ärnlöv J; School of Health and Social Studies, Dalarna University, Falun, Sweden and Department of Neurobiology, Care Sciences and Society, Family Medicine and Primary Care Unit, Karolinska Institutet, Huddinge, Sweden., Bell S; Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, United Kingdom., Carrero JJ; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Huddinge, Sweden.; Division of Nephrology, Department of Clinical Sciences, Karolinska Institutet, Danderyd Hospital, Stockholm, Sweden., Chang AR; Department of Population of Health Sciences, Center for Kidney Health Research, and Department of Nephrology, Geisinger, Danville, PA, USA., Ciemins EL; AMGA (American Medical Group Association), Alexandria, VA, USA., Haynes R; Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom., Ix J; Division of Nephrology-Hypertension, Department of Medicine, School of Medicine, University of California, San Diego, La Jolla, CA, USA.; Veterans Affairs San Diego, La Jolla, CA, USA., Kotsis F; Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center and Department of Medicine IV, Nephrology and Primary Care, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany., Lees JS; School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom.; Glasgow Renal and Transplant Unit, Queen Elizabeth University Hospital, Glasgow, United Kingdom., Pandit K; Division of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA., Rao P; Division of Nephrology, Department of Medicine, University of Michigan, Ann Arbor, MI, USA., Robinson-Cohen C; Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA., Alencar de Pinho N; Centre for Research in Epidemiology and Population Health (CESP), Paris-Saclay University, Inserm U1018, Versailles Saint-Quentin University, Clinical Epidemiology Team, Villejuif, France., Sumida K; Division of Nephrology, Department of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA.
Corporate Authors: CKD Prognosis Consortium
Source: EClinicalMedicine [EClinicalMedicine] 2025 Jul 31; Vol. 86, pp. 103372. Date of Electronic Publication: 2025 Jul 31 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: The Lancet Country of Publication: England NLM ID: 101733727 Publication Model: eCollection Cited Medium: Internet ISSN: 2589-5370 (Electronic) Linking ISSN: 25895370 NLM ISO Abbreviation: EClinicalMedicine Subsets: PubMed not MEDLINE
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  Data: <searchLink fieldCode="AU" term="%22Ishigami+J%22">Ishigami J</searchLink>; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22Surapaneni+A%22">Surapaneni A</searchLink>; Division of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA.<br /><searchLink fieldCode="AU" term="%22Matsushita+K%22">Matsushita K</searchLink>; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22Coresh+J%22">Coresh J</searchLink>; Optimal Aging Institute, New York University Grossman School of Medicine, New York, NY, USA.<br /><searchLink fieldCode="AU" term="%22Grams+ME%22">Grams ME</searchLink>; 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