Severe acute kidney injury after abiraterone vs enzalutamide in advanced prostate cancer: A SEER–Medicare study.

N Nikita Nikita (Department of Medical Oncology, Thomas Jefferson University, Philadelphia, PA) G Grace L. Lu-Yao (Thomas Jefferson University, Philadelphia, PA) S Scott W. Keith (Division of Biostatistics, Department of Pharmacology & Experimental Therapeutics, Thomas Jefferson University, Philadelphia, PA) K Krupa Gandhi (Division of Biostatistics, Department of Pharmacology & Experimental Therapeutics, Thomas Jefferson University, Philadelphia, PA) K Kevin Kayvan Zarrabi (Thomas Jefferson University, Philadelphia, PA) A Akshit Chitkara (1Thomas Jefferson University, Philadelphia, United States) A Amy L. Shaver (Department of Medical Oncology, Thomas Jefferson University, Philadelphia, PA) S Swapnil Sharma (Department of Medical Oncology, Thomas Jefferson University, Philadelphia, PA) W William Kevin Kelly (Thomas Jefferson University Hospital, Philadelphia, PA)

Abstract

120 Background: Acute kidney injury (AKI) is a frequent complication among older adults with cancer, linked to short-term mortality, prolonged hospitalization, and progression to chronic kidney disease (CKD). Traditional androgen deprivation therapy has been associated with AKI, but contemporary evidence for androgen receptor pathway inhibitors (ARPIs) is limited. Abiraterone acetate with prednisone (AAP) may increase renal vulnerability via mineralocorticoid excess and steroid effects, whereas enzalutamide (ENZA) has other mechanisms. We quantified the risk of AKI-related hospitalization following ARPI initiation and, comparing AAP with ENZA overall and within key clinical subgroups. Methods: Using SEER–Medicare data, we identified men with advanced prostate cancer (PCa), with no prior AKI, who initiated AAP (2013–2018) or ENZA (2013–2019). AKI hospitalizations were identified using inpatient ICD-9/10 codes. Follow-up ran from ARPI start to first AKI hospitalization, death, loss of Medicare coverage, or December 31, 2020. Fine–Gray sub-distribution hazard models were used to estimate adjusted hazard ratios (HRs). Results: We included 5,574 patients with PCa (2,948 AAP; 2,626 ENZA); 78% were ≥75 years. The 12-month cumulative incidence of AKI hospitalization was higher with AAP vs ENZA (17.9% vs 13.6%). At 12-months post treatment initiation, cumulative risk of AKI was substantially higher in patients with pre-existing CKD vs without CKD (27.2% vs 9.2%; p<0.05) and with congestive heart failure (CHF) vs without CHF (23.9% vs 11.7%; p<0.05). Risk factors associated with increased hospitalization with AKI included older age, higher CCI, pre-existing CKD and CHF (Table 1). Conclusions: AAP was associated with a higher adjusted hazard of AKI hospitalization than ENZA. Clinically, these data support (i) preferring ENZA over AAP when oncologically acceptable in patients at elevated renal risk (CKD, CHF, high comorbidity, older age, Black race), and (ii) structured renal monitoring after ARPI initiation, with tighter surveillance for AAP users and those with CKD/CHF. Key predictors of AKI hospitalization after ARPI initiation (adjusted) with selected baseline differences. Risk factor Comparison Adjusted HR 95% CI (lower) 95% CI (upper) Age group ≥75 vs 65–74 1.24 1.09 1.42 Race Black vs White 1.30 1.05 1.62 Marital status Unmarried vs Married 1.33 1.09 1.63 Charlson comorbidity index 1 vs 0 1.23 1.06 1.42 ≥2 vs 0 1.61 1.27 2.04 ARPI agent AAP vs ENZA 1.25 1.10 1.41 Treatment year 2013–2016 vs 2017–2019 1.56 1.37 1.79 Pre-existing CKD Yes vs No 2.54 2.20 2.94 Pre-existing CHF Yes vs No 1.53 1.25 1.88 Charlson Comorbidity Index did not include AMI, CHF and DM in its calculation. Model was adjusted for age group, race, marital status, education, income, SEER region, state buy-in, dual eligibility, CCI, ARPI agent, treatment year, pre-existing CKD, DM, CHF and AMI.

Article Details

Volume / Issue Vol. 44, Issue 7_suppl
Published March 01, 2026
Pages 120-120
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (9)

N

Nikita Nikita

Department of Medical Oncology, Thomas Jefferson University, Philadelphia, PA

G

Grace L. Lu-Yao

Thomas Jefferson University, Philadelphia, PA

S

Scott W. Keith

Division of Biostatistics, Department of Pharmacology & Experimental Therapeutics, Thomas Jefferson University, Philadelphia, PA

K

Krupa Gandhi

Division of Biostatistics, Department of Pharmacology & Experimental Therapeutics, Thomas Jefferson University, Philadelphia, PA

K

Kevin Kayvan Zarrabi

Thomas Jefferson University, Philadelphia, PA

A

Akshit Chitkara

1Thomas Jefferson University, Philadelphia, United States

A

Amy L. Shaver

Department of Medical Oncology, Thomas Jefferson University, Philadelphia, PA

S

Swapnil Sharma

Department of Medical Oncology, Thomas Jefferson University, Philadelphia, PA

W

William Kevin Kelly

Thomas Jefferson University Hospital, Philadelphia, PA