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Int. braz. j. urol ; 46(1): 70-80, Jan.-Feb. 2020. tab, graf
Artigo em Inglês | LILACS | ID: biblio-1056356

RESUMO

ABSTRACT Objective: To analyze the compositions of upper urinary tract stones and investigate their distributions in different gender and age groups. Materials and Methods: Patients diagnosed with upper urinary tract stone disease between December 2014 and March 2018 were retrospectively reviewed. Patient's age, gender, BMI, comorbidities, stone event characteristics, and compositions were collected, and proportions of stone components in different gender and age groups were analyzed. Results: A total of 1532 stone analyses were performed (992 from males and 540 from females). The mean age was younger in males (p <0.001). Males included more cases with larger BMI, hyperuricemia, and obesity, while females had more urinary tract infections. Multiple components were present in 61.8% of stones. Calcium oxalate (CaOx) (67.0%) was the most common component, followed by uric acid (UA) (11.8%), infection stone (11.4%), calcium phosphate (CaP) (8.0%), cystine (1.1%), brushite (0.4%), and 2, 8-dihydroxyadenine (0.2%). Men contributed with more CaOx stones than women at age 30-49 years (all p <0.01) and more UA stones at 30-59 years (all p <0.05). Women contributed with more infection stones than men in age groups 30-49 and 60-69 years (all p <0.05), and more CaP stones at 30-49 years. The prevalence peak was 50-59 years in men and 60-69 years in women. Both genders had the lowest prevalence in adolescence. Prevalence of UA stones increased while that of infection stones decreased with aging in both genders. Conclusions: Age and sex had a strong association with distribution of stone compositions in this Chinese cohort.


Assuntos
Humanos , Masculino , Feminino , Adulto , Cálculos Urinários/epidemiologia , Cálculos Urinários/química , Fatores de Risco , Ácido Úrico/análise , Oxalato de Cálcio/análise , Fosfatos de Cálcio/análise , Adenina/análise , Adenina/análogos & derivados , Cálculos Urinários/etiologia , Modelos Logísticos , China/epidemiologia , Fatores Sexuais , Prevalência , Estudos Retrospectivos , Fatores Etários , Distribuição por Sexo , Distribuição por Idade , Pessoa de Meia-Idade
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