EClinicalMedicine (Aug 2025)
Estimated glomerular filtration rate, albuminuria, and risk of infection: a collaborative meta-analysis of individual participant dataResearch in context
- Junichi Ishigami,
- Aditya Surapaneni,
- Kunihiro Matsushita,
- Josef Coresh,
- Morgan E. Grams,
- Shoshana H. Ballew,
- Yingying Sang,
- Benedicte Stengel,
- Johan Ärnlöv,
- Samira Bell,
- Juan-Jesus Carrero,
- Alexander R. Chang,
- Elizabeth L. Ciemins,
- Richard Haynes,
- Joachim Ix,
- Fruzsina Kotsis,
- Jennifer S. Lees,
- Krutika Pandit,
- Panduranga Rao,
- Cassianne Robinson-Cohen,
- Natalia Alencar de Pinho,
- Keiichi Sumida,
- Josef Coresh,
- Yingying Sang,
- Kunihiro Matsushita,
- Morgan Grams,
- Yejin Mok,
- Cassianne Robinson-Cohen,
- Elvis Akwo,
- Jing He,
- Natalia Alencar de Pinho,
- Marie Metzger,
- Bénédicte Stengel,
- Luc Frimat,
- Christian Combe,
- Nishigandha Pradhan,
- Giselle Sosa,
- Dawei Xie,
- Markus P. Schneider,
- Anna Köttgen,
- Heike Meiselbach,
- Kai-Uwe Eckardt,
- Ulla Schultheiss,
- Jamie Green,
- H. Lester Kirchner,
- Gurmukteshwar Singh,
- Samira Bell,
- Shona Livingstone,
- Colin Palmer,
- Ewan Pearson,
- Michael Shlipak,
- Ronit Katz,
- Morgan E. Grams,
- Krutika Pandit,
- Aditya Surapaneni,
- Carina Flaherty,
- Elizabeth Ciemins,
- Jeff Mohl,
- Csaba Kovesdy,
- Keiichi Sumida,
- Prabin Shrestha,
- William Herrington,
- Natalie Staplin,
- Richard Haynes,
- Martin J. Landray,
- Colin Baigent,
- Jennifer Lees,
- Patrick Mark,
- Johan Ärnlöv,
- Anders Larsson,
- Vilmantas Giedraitis,
- Shoshana H. Ballew,
- Juan-Jesus Carrero,
- Ron T. Gansevoort,
- Morgan E. Grams,
- Andrew S. Levey,
- Kunihiro Matsushita,
- Dorothea Nitsch,
- Michael G. Shlipak,
- Angela Yee-Moon Wang,
- Shoshana H. Ballew,
- Carina Flaherty,
- Morgan E. Grams,
- Kunihiro Matsushita,
- Yingying Sang,
- Aditya Surapaneni
Affiliations
- Junichi Ishigami
- 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
- Aditya Surapaneni
- Division of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA
- Kunihiro Matsushita
- 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
- Josef Coresh
- Optimal Aging Institute, New York University Grossman School of Medicine, New York, NY, USA
- Morgan E. Grams
- Division of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA; Corresponding author. The Chronic Kidney Disease Prognosis Consortium Data Coordinating Center, Division of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, 227 E 30th Street, #825, New York, NY 10016, USA.
- Shoshana H. Ballew
- Optimal Aging Institute, New York University Grossman School of Medicine, New York, NY, USA
- Yingying Sang
- Optimal Aging Institute, New York University Grossman School of Medicine, New York, NY, USA
- Benedicte Stengel
- Centre for Research in Epidemiology and Population Health (CESP), Paris-Saclay University, Inserm U1018, Versailles Saint-Quentin University, Clinical Epidemiology Team, Villejuif, France
- Johan Ärnlöv
- 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
- Samira Bell
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, United Kingdom
- Juan-Jesus Carrero
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Huddinge, Sweden; Division of Nephrology, Department of Clinical Sciences, Karolinska Institutet, Danderyd Hospital, Stockholm, Sweden
- Alexander R. Chang
- Department of Population of Health Sciences, Center for Kidney Health Research, and Department of Nephrology, Geisinger, Danville, PA, USA
- Elizabeth L. Ciemins
- AMGA (American Medical Group Association), Alexandria, VA, USA
- Richard Haynes
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- Joachim Ix
- 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
- Fruzsina Kotsis
- 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
- Jennifer S. Lees
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom; Glasgow Renal and Transplant Unit, Queen Elizabeth University Hospital, Glasgow, United Kingdom
- Krutika Pandit
- Division of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA
- Panduranga Rao
- Division of Nephrology, Department of Medicine, University of Michigan, Ann Arbor, MI, USA
- Cassianne Robinson-Cohen
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Natalia Alencar de Pinho
- Centre for Research in Epidemiology and Population Health (CESP), Paris-Saclay University, Inserm U1018, Versailles Saint-Quentin University, Clinical Epidemiology Team, Villejuif, France
- Keiichi Sumida
- Division of Nephrology, Department of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
- Josef Coresh
- Yingying Sang
- Kunihiro Matsushita
- Morgan Grams
- Yejin Mok
- Cassianne Robinson-Cohen
- Elvis Akwo
- Jing He
- Natalia Alencar de Pinho
- Marie Metzger
- Bénédicte Stengel
- Luc Frimat
- Christian Combe
- Nishigandha Pradhan
- Giselle Sosa
- Dawei Xie
- Markus P. Schneider
- Anna Köttgen
- Heike Meiselbach
- Kai-Uwe Eckardt
- Ulla Schultheiss
- Jamie Green
- H. Lester Kirchner
- Gurmukteshwar Singh
- Samira Bell
- Shona Livingstone
- Colin Palmer
- Ewan Pearson
- Michael Shlipak
- Ronit Katz
- Morgan E. Grams
- Krutika Pandit
- Aditya Surapaneni
- Carina Flaherty
- Elizabeth Ciemins
- Jeff Mohl
- Csaba Kovesdy
- Keiichi Sumida
- Prabin Shrestha
- William Herrington
- Natalie Staplin
- Richard Haynes
- Martin J. Landray
- Colin Baigent
- Jennifer Lees
- Patrick Mark
- Johan Ärnlöv
- Anders Larsson
- Vilmantas Giedraitis
- Shoshana H. Ballew
- Juan-Jesus Carrero
- Ron T. Gansevoort
- Morgan E. Grams
- Andrew S. Levey
- Kunihiro Matsushita
- Dorothea Nitsch
- Michael G. Shlipak
- Angela Yee-Moon Wang
- Shoshana H. Ballew
- Carina Flaherty
- Morgan E. Grams
- Kunihiro Matsushita
- Yingying Sang
- Aditya Surapaneni
- DOI
- https://doi.org/10.1016/j.eclinm.2025.103372
- Journal volume & issue
-
Vol. 86
p. 103372
Abstract
Summary: Background: Infections are a major cause of hospitalization in people with chronic kidney disease (CKD), with incidence similar to cardiovascular disease, yet the risk of infection has not been systematically studied across stages of CKD. Methods: We conducted a meta-analysis of individual participant data including 1,246,912 individuals across 47 cohorts in the CKD Prognosis Consortium, with information on estimated glomerular filtration rate based on serum creatinine (eGFRcr) and urinary albuminuria (ACR) (or proteinuria converted to ACR), to examine the association of eGFR and ACR with the risk of hospitalization with infection. Outcomes were ascertained through diagnostic codes on hospital discharge records relevant to acute infections (i.e., upper and lower respiratory tract, urinary tract, skin and soft tissue, musculoskeletal, gastrointestinal tract, genital, nervous system, and cardiovascular system infections, and sepsis). Follow-up was censored on December 31, 2019 or on the last date of cohort follow-up, whichever was earlier. Multivariable Cox models were used to estimate hazard ratios (HRs). Findings: During follow-up, 170,864 (13.7%) individuals had a hospitalization with infection (IR, 22.0 [IQI, 16.2–31.0] per 1000 person-yrs). In Cox models, compared to eGFRcr 90–104 ml/min/1.73 m2 and ACR <10 mg/g, lower eGFRcr and higher ACR were each independently associated with an increased hazard of infection in a graded manner, including in eGFRcr 60–89 and 45–59 ml/min/1.73 m2 (adjusted HRs [95% CI], 1.09 [1.06–1.13] and 1.39 [1.34–1.45]) and ACR 10–29 and 30–299 mg/g (1.40 [1.33–1.47] and 1.82 [1.72–1.92]). High eGFRcr ≥105 ml/min/1.73 m2 was also associated with the risk of infection (1.22 [1.17–1.26]). Combined, eGFRcr <30 ml/min/1.73 m2 and ACR ≥ 300 mg/g were associated with more than 6-fold higher hazard of infections (6.27 [5.70–6.90]). These findings were consistent across infection subtypes (e.g., HRs for lower respiratory tract infections, 1.26 [1.22–1.30] per −15 ml/min/1.73 m2 in eGFR and 1.48 [1.44–1.53] per 8-fold increase in ACR). Interpretation: Lower kidney function and higher albuminuria were independently associated with higher risk of infection. The risk was elevated even in mild to moderate CKD, with the highest risk seen in the most advanced stage of CKD. Infection prevention measures should target individuals across all CKD stages. Funding: US National Kidney Foundation and the National Institute of Diabetes and Digestive and Kidney Diseases.
Keywords