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Submitted: 06 Apr 2023
Accepted: 22 Jun 2023
ePublished: 22 Jun 2023
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J Ren Endocrinol. 2023;9: e25102.
doi: 10.34172/jre.2023.25102
  Abstract View: 693
  PDF Download: 102

Original Article

Kidney stones incidence and related factors in hemodialysis patients: a multi-center study of Iran southeast population

Sajad Salehipour 1 ORCID logo, Hanieh Molaee 2 ORCID logo, Fatemeh Kord Salarzehi 3 ORCID logo, Hamed Sarani 4 ORCID logo, Mohamad Khaledi 5 ORCID logo, Reyhaneh Sadeghian 5 ORCID logo, Rokhsare Zareie 6 ORCID logo, Nahid Mir 7 ORCID logo, Mahsa Asadollahi Hamedani 5* ORCID logo

1 Department of Nursing, School of Nursing and Midwifery, Semnan University of Medical Sciences, Semnan, Iran
2 Department of Nursing, Faculty of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran
3 Department of Nursing, School of Nursing, Iranshahr University of Medical Sciences, Chabahar, Iran
4 Department of Operating Room, School of Nursing and Midwifery, Zahedan University of Medical Sciences, Zahedan, Iran
5 Department of Nursing, Faculty of Nursing and Midwifery, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
6 Department of Nursing, School of Nursing and Midwifery, Zahedan University of Medical Sciences, Zahedan, Iran
7 Department of Nursing, Khatam al Anbia Hospital, Faculty of Nursing and Midwifery, Iranshahr University of Medical Sciences, Iranshahr, Iran
*Corresponding Author: Mahsa Asadollahi Hamedani, Email: Mahsaa.asadollahi@gmail.com

Abstract

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.
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