Sajad Salehipour, Hanieh Molaee, Fatemeh Kord Salarzehi, H. Sarani, Mohamad Khaledi, Reyhaneh Sadeghian, Rokhsare Zareie, Nahid Mir, Mahsa Asadollahi Hamedani
{"title":"血液透析患者肾结石发病率及相关因素:伊朗东南部人群的多中心研究","authors":"Sajad Salehipour, Hanieh Molaee, Fatemeh Kord Salarzehi, H. Sarani, Mohamad Khaledi, Reyhaneh Sadeghian, Rokhsare Zareie, Nahid Mir, Mahsa Asadollahi Hamedani","doi":"10.34172/jre.2023.25102","DOIUrl":null,"url":null,"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.","PeriodicalId":16964,"journal":{"name":"Journal of Renal Endocrinology","volume":"88 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Kidney stones incidence and related factors in hemodialysis patients: a multi-center study of Iran southeast population\",\"authors\":\"Sajad Salehipour, Hanieh Molaee, Fatemeh Kord Salarzehi, H. Sarani, Mohamad Khaledi, Reyhaneh Sadeghian, Rokhsare Zareie, Nahid Mir, Mahsa Asadollahi Hamedani\",\"doi\":\"10.34172/jre.2023.25102\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":16964,\"journal\":{\"name\":\"Journal of Renal Endocrinology\",\"volume\":\"88 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Renal Endocrinology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.34172/jre.2023.25102\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Renal Endocrinology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34172/jre.2023.25102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Kidney stones incidence and related factors in hemodialysis patients: a multi-center study of Iran southeast population
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.