Nickan Research Institute Journal of Renal Endocrinology 2423-6438 9 1 2023 01 01 Kidney stones incidence and related factors in hemodialysis patients: a multi-center study of Iran southeast population e25102 e25102 10.34172/jre.2023.25102 EN Sajad Salehipour https://orcid.org/0000-0001-8541-0946 Hanieh Molaee https://orcid.org/0000-0001-5783-0986 Fatemeh Kord Salarzehi https://orcid.org/0000-0001-9103-5759 Hamed Sarani https://orcid.org/0000-0002-6279-8535 Mohamad Khaledi https://orcid.org/0000-0001-9481-0343 Reyhaneh Sadeghian https://orcid.org/0000-0003-2974-7653 Rokhsare Zareie https://orcid.org/0000-0000-2277-1322 Nahid Mir https://orcid.org/0000-0002-6774-2469 Mahsa Asadollahi Hamedani https://orcid.org/0000-0002-7130-1201 Journal Article 10.34172/jre.2023.25102 2023 04 06 2023 06 22 Introduction: In previous studies, kidney stones was reported as a common complication in general populations. Objectives: This study aimed to evaluate kidney stone incidence and related factors in hemodialysis patients. Patients and Methods: This descriptive-analytical study was conducted on 284 hemodialysis patients in the Zahedan. Demographic and clinical data were collected. The incidence rate of kidney stone was calculated. The correlation between kidney stone incidence with predicting factors was explored by multivariate logistic regression. Results: Results demonstrated that most patients were male, with a mean age of 48.81 ± 16.84 years. The correlation between kidney stone incidence with gender, race, smoking, and blood group was not significant (P > 0.05); however, its correlation with diabetes mellitus, urinary tract infection, age, and body mass index (BMI) was significant (P < 0.05). The kidney stone incidence rate was 23.24%, while diabetes mellitus, urinary tract infection, older age, and higher BMI were the most common predictors. Conclusion: Diabetes mellitus, urinary tract infection, older age, and higher BMI were the common predictors for kidney stone incidence in hemodialysis patients. Identifying kidney stone incidence predictors in patients with hemodialysis can be helping in lower complications.