Similar risk of kidney failure among patients with blinding diseases who receive ranibizumab, aflibercept, and bevacizumab: an OHDSI Network Study.

OHDSI OMOP anti-vascular endothelial growth factor big data informatics kidney failure

Journal

Ophthalmology. Retina
ISSN: 2468-6530
Titre abrégé: Ophthalmol Retina
Pays: United States
ID NLM: 101695048

Informations de publication

Date de publication:
20 Mar 2024
Historique:
received: 01 02 2024
revised: 08 03 2024
accepted: 12 03 2024
medline: 23 3 2024
pubmed: 23 3 2024
entrez: 22 3 2024
Statut: aheadofprint

Résumé

A) To characterize the incidence of kidney failure associated with intravitreal anti-vascular endothelial growth factor (VEGF) exposure, and B) compare the risk of kidney failure in patients treated with ranibizumab, aflibercept, or bevacizumab. Retrospective cohort study across 12 databases in the Observational Health Data Sciences and Informatics (OHDSI) network. Subjects aged ≥18 years with ≥3 monthly intravitreal anti-VEGF medications for a blinding disease (diabetic retinopathy, diabetic macular edema, exudative age-related macular degeneration, or retinal vein occlusion). A) The standardized incidence proportions and rates of kidney failure while on treatment with anti-VEGF were calculated. B) For each comparison (e.g., aflibercept versus ranibizumab), patients from each group were matched 1:1 using propensity scores. Cox proportional hazards models were used to estimate the risk of kidney failure while on treatment. A random-effects meta-analysis was performed to combine each database's hazard ratio (HR) estimate into a single network-wide estimate. Incidence of kidney failure while on anti-VEGF treatment, and time from cohort entry to kidney failure. Of the 6.1 million patients with blinding diseases, 37,189 who received ranibizumab, 39,447 aflibercept, and 163,611 bevacizumab were included; the total treatment exposure time was 161,724 person-years. The average standardized incidence proportion of kidney failure was 678 per 100,000 persons (range 0 to 2389), and incidence rate 743 per 100,000 person-years (0 to 2661). The meta-analysis HR of kidney failure comparing aflibercept to ranibizumab was 1.01 (95% confidence interval (CI) 0.70, 1.47, p=0.45), ranibizumab to bevacizumab 0.95 (95% CI 0.68, 1.32, p=0.62), and aflibercept to bevacizumab 0.95 (95% CI 0.65, 1.39, p=0.60). There was no substantially different relative risk for kidney failure between those who received ranibizumab, bevacizumab, or aflibercept. Practicing ophthalmologists and nephrologists should be aware of the risk for kidney failure among patients receiving intravitreal anti-VEGF medications and that there is little empirical evidence to preferentially choose among the specific intravitreal anti-VEGF agents.

Identifiants

pubmed: 38519026
pii: S2468-6530(24)00118-0
doi: 10.1016/j.oret.2024.03.014
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Cindy X Cai (CX)

Wilmer Eye Institute, Johns Hopkins School of Medicine, Baltimore, MD, USA.

Akihiko Nishimura (A)

Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.

Mary G Bowring (MG)

Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD.

Erik Westlund (E)

Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.

Diep Tran (D)

Wilmer Eye Institute, Johns Hopkins School of Medicine, Baltimore, MD.

Jia H Ng (JH)

Division of Kidney Diseases and Hypertension, Donald and Barbara School of Medicine at Hofstra/Northwell, NY.

Paul Nagy (P)

Department of Biomedical Informatics and Data Science, Johns Hopkins School of Medicine, Johns Hopkins University, Baltimore, MD.

Michael Cook (M)

Johns Hopkins University, Baltimore, MD.

Jody-Ann McLeggon (JA)

Department of Biomedical Informatics, Columbia University.

Scott L DuVall (SL)

VA Informatics and Computing Infrastructure, US Department of Veterans Affairs, Salt Lake City, UT; and Department of Internal Medicine Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT.

Michael E Matheny (ME)

VA Informatics and Computing Infrastructure, Tennessee Valley Healthcare System, Nashville, TN; and Department of Biomedical Informatics, Vanderbilt University, Nashville, TN.

Asieh Golozar (A)

Odysseus Data Services, Inc., Cambridge, MA, OHDSI Center at the Roux Institute, Northeastern University, Boston, MA.

Anna Ostropolets (A)

Odysseus Data Services, Inc., Cambridge, MA.

Evan Minty (E)

O'Brien Center for Public Health, Department of Medicine, University of Calgary, Canada.

Priya Desai (P)

Technology / Digital Solutions, Stanford Health Care and Stanford University School of Medicine, Palo Alto, United States.

Fan Bu (F)

Department of Biostatistics, University of California - Los Angeles, Los Angeles, CA.

Brian Toy (B)

Roski Eye Institute, Keck School of Medicine, University of Southern California; Los Angeles, CA.

Michelle Hribar (M)

National Eye Institute, National Institutes of Health, Bethesda, MD; and Casey Eye Institute, Oregon Health & Science University, Portland, OR.

Thomas Falconer (T)

Department of Biomedical Informatics, Columbia University.

Linying Zhang (L)

Department of Biomedical Informatics, Columbia University.

Laurence Lawrence-Archer (L)

Odysseus Data Services, Inc., Cambridge, MA, OHDSI Center at the Roux Institute, Northeastern University, Boston, MA.

Michael V Boland (MV)

Mass Eye and Ear, and Harvard Medical School, Boston, MA.

Kerry Goetz (K)

National Eye Institute, National Institutes of Health, Bethesda, MD.

Nathan Hall (N)

Janssen Research and Development, Titusville, NJ.

Azza Shoaibi (A)

Janssen Research and Development, Titusville, NJ.

Jenna Reps (J)

Janssen Research and Development, Titusville, NJ.

Anthony G Sena (AG)

Janssen Research and Development, Titusville, NJ, Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, the Netherlands.

Clair Blacketer (C)

Janssen Research and Development, Titusville, NJ.

Joel Swerdel (J)

Janssen Research and Development, Titusville, NJ.

Kenar D Jhaveri (KD)

Glomerular Center at Northwell Health, Division of Kidney Diseases and Hypertension, Donald and Barbara School of Medicine at Hofstra/Northwell, NY.

Edward Lee (E)

Roski Eye Institute, Keck School of Medicine, University of Southern California; Los Angeles, CA.

Zachary Gilbert (Z)

Roski Eye Institute, Keck School of Medicine, University of Southern California; Los Angeles, CA.

Scott L Zeger (SL)

Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.

Deidra C Crews (DC)

Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine.

Marc A Suchard (MA)

VA Informatics and Computing Infrastructure, US Department of Veterans Affairs, Salt Lake City, UT; and Department of Biostatistics, University of California Los Angeles, Los Angeles, CA.

George Hripcsak (G)

Department of Biomedical Informatics, Columbia University.

Patrick B Ryan (PB)

Janssen Research and Development, Titusville, NJ.

Classifications MeSH