Evidence map›Paper›PMID 41270026›Full record

ArticlePloS one2025

Rapid increase in erythropoiesis-stimulating agent resistance is a risk factor for poor renal prognosis in patients with chronic kidney disease pre-dialysis: A BRIGHTEN study sub-analysis.

Shinya Kawamoto, Takao Masaki, Shoichi Maruyama, Akane Yamakawa, Tatsuo Kagimura, Ichiei Narita

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Shinya KawamotoDepartment of Cardiovascular Medicine and Nephrology, Dokkyo Medical University Nikko Medical Center, Nikko, Japan.ORCID https://orcid.org/0000-0003-1934-9133
Takao MasakiDepartment of Nephrology, Hiroshima University Hospital, Hiroshima, Japan.
Shoichi MaruyamaDepartment of Nephrology, Nagoya University, Nagoya, Japan.
Akane YamakawaTranslation Research Center for Medical Innovation, Kobe, Japan.
Tatsuo KagimuraTranslation Research Center for Medical Innovation, Kobe, Japan.
Ichiei NaritaDepartment of Nephrology, Niigata University, Niigata, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Erythropoiesis-stimulating agent (ESA) resistance is reported in approximately 10% of patients on hemodialysis and is a risk factor for mortality. The BRIGHTEN study conducted on 1,724 non-dialysis patients with chronic kidney disease (CKD) reported an ESA resistance prevalence of 13.3% and was associated with a risk factor for poor cardiovascular and renal prognoses. ESA resistance at 12 weeks after ESA administration can also indicate renal prognoses; however, a single-point estimate is insufficient because ESA resistance increases with CKD progression. We used the BRIGHTEN data for a sub-analysis and found that the ESA resistance index (ERI) (darbepoetin alpha dose/hemoglobin level) transition pattern might be more appropriate for predicting renal prognoses than an initial single-point ERI value. This BRIGHTEN study sub-analysis included 1,625 patients with complete data, comprising 518 dialysis initiations and 18 renal transplants, with a mean follow-up of 1.79 years. The relationship between disease progression and ESA resistance was analyzed using the joint latent class model of longitudinal and time-to-event data. The Kaplan-Meier method was used to estimate the cumulative incidence for the three classes according to the transition pattern of the ERIs. The patient background characteristics in each class were compared. The ERI transition pattern was classified into 3 classes: ERI unchanged, Class A (1,237 patients); moderately increased, Class B (274 patients); and rapidly increased, Class C (114 patients). Class C showed a significantly worse renal survival curve than the other groups, while Class B showed an intermediate survival curve (P < 0.0001). The median renal survival times were 1.09 and 0.61 years in Classes B and C, respectively. Patients in Classes B and C were significantly more often male and had diabetic nephropathy, smoking, hypertension, and more proteinuria than those in Class A. Rapidly increasing ESA resistance patterns predict poor renal prognoses in patients with non-dialysis CKD.

Indexed as

Drug ResistanceHematinicsRenal Insufficiency, ChronicAdultAgedDarbepoetin alfaDisease ProgressionFemaleHumansMaleMiddle AgedPrognosisRenal DialysisRisk FactorsDarbepoetin alfaHematinics

Identifiers

PMID41270026
PMCPMC12637981

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