Survival disparities between patients with breast cancer with and without HIV at Jaramogi Oginga Odinga Teaching and Referral Hospital (JOOTRH).

• DOI: 10.1200/jco.2025.43.16_suppl.1622
• Publication Date: 2025-05-28T17:02:12Z
• Authors: Harriet Fridah Ad...; Thomas A Odeny; Dorothy Imbuka Ma...; Phiona Awuor Adagi; Everline Nyandieka; Angela Awino Mcli...

1622 Background: Breast cancer and HIV/AIDS pose significant public health challenges. Women living with HIV face higher mortality rates when diagnosed breast than HIV-negative women. Although advancements in treatment have improved survival outcomes, limited evidence exists on the impact of outcomes low-resource settings. This study examines disparities between patients without HIV. Methods: We conducted a retrospective cohort at JOOTRH January 2013 September 2024. Data from paper-based records included demographics, clinical data (survival status). Survival, defined as time diagnosis to death or last follow-up, accounted for transfer out, death, being alive, lost follow-up. Variables >20% missingness were excluded. Survival by status estimated using Kaplan-Meier, relationships analyzed via Cox Proportional Hazards Model. Results: Out 494 patients, 101(20%) HIV+, 219 (44%) had unknown status, 174(36%) HIV-. At diagnosis, HIV+ younger (median: 48, [IQR 40–56]) compared HIV- 51, 40–64], p=0.030) lower median BMI (23.2 vs. 25.4, p=0.008). positive longer initiation (56 days, IQR 25–127) (44 20–94), although difference was not statistically (p=0.4). In this cohort, 12% (60) died, rate among (17%, 17 out 101) (14%, 24 174), while loss follow-up substantial both groups (43% 37% HIV-, p<0.001). The crude 5-year probability 14% (59%, [95% CI 38 – 91]) (73%, [61–87]). adjusted age, smoking, employment, stage, did vary significantly (HR HIV-: 1.13, 95% CI: 0.51–2.50, p = 0.8). However, insurance 0.35, 0.12–0.97, 0.044) those > primary/elementary school education (HR: 0.13, 0.02, 0.88, 0.037) primary only. Patients who receive risk 3.52, 1.54–8.04, 0.003. Conclusions: study, poorer probabilities their counterparts, differ status. Factors associated lack treatment, levels, absence treatment. These findings underscore need targeted interventions improve HIV-positive particularly