Prevalence of renal insufficiency and factors associated among selected cancer patients on chemotherapy at Ocean Road Cancer Institute in Tanzania: a cross-sectional study

Abstract Background Cancer is among the leading cause of death worldwide. Chemotherapy is commonly used in cancer management and among the challenges in managing cancer patients is renal insufficiency (RI), which can be due to cancer or anticancer treatment and can be potentiated by different factors. Data regarding the prevalence of RI and associated factors in Tanzania is scanty. This study aims to assess the prevalence of RI and associated factors among selected cancer patients on chemotherapy. Methods This analytical cross-sectional study was conducted at Ocean Road Cancer Institute (ORCI) in Dar es Salaam, Tanzania, from March to May 2023. The study included cancer patients on chemotherapy. Data was collected using semi-structured questionnaires whereby socio-demographics, clinical and laboratory data were recorded. Data was analyzed by using STATA version 15. Categorical data was presented as frequencies and percentages, and continuous data was summarized using means. A modified Poisson regression model was used to assess factors associated with RI. The p-values ≤ 0.05 was considered statistically significant. Results Out of 354 patients, the majority (76.6%) were female. The enrolled patients’ mean age was 53 ± 13.19 years. The proportion of cancer patients with RI was 62.2% with most (60%) having stage 2 and stage 3 (37.7%). Age, hypertension (HTN), human immunodeficiency virus (HIV), diabetes mellitus (DM) and non-steroidal anti-inflammatory drugs (NSAIDs) use were significantly associated with increased risk of RI (p ≤ 0.05). Conclusion This study showed that RI is common among cancer patients on chemotherapy. Age, HTN, DM, HIV and NSAIDS use were associated with RI. Close monitoring of kidney function is necessary for cancer patients with other factors associated with RI. Use of creatinine clearance (CrCl) rather than serum creatinine in estimating kidney function is important