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MINERVA UROLOGICA E NEFROLOGICA
A Journal on Nephrology and Urology
Indexed/Abstracted in: EMBASE, PubMed/MEDLINE, Science Citation Index Expanded (SciSearch), Scopus
Impact Factor 0,536
ORIGINAL ARTICLES UROLOGY
Minerva Urologica e Nefrologica 2016 August;68(4):342-7
Could spot urine analysis of calcium and uric acid help predict density of urinary stone in computerized tomography? A preliminary study
Özay DEMIRAY 1, Ferhat CÜCE 2, Erdem ÇEVIK 3, Berkay ÇATALOĞLU 4, Serdar KALEMCI 5 ✉
1 Department of Urology, Van Military Hospital, Van, Turkey; 2 Department of Radiology, Van Military Hospital, Van, Turkey; 3 Department of Emergency, Van Military Hospital, Van, Turkey; 4 Department of Medical Biochemistry, Van Military Hospital, Van, Turkey; 5 Department of Urology, Ege University Medical Faculty, İzmir, Turkey
BACKGROUD: This research studies if Hounsfield density of urinary stone can be predicted without computerized tomography (CT) caused by because increased radiation exposure in follow-up of patients.
METHODS: The records of patients with renal or ureteral stone were analyzed retrospectively for the time period between November 2013 and April 2014. The inclusion criteria defined were: no multiple stones; stone size ≥3 mm; presence of renal and ureteral stones; absence of staghorn stone. All CT images were assessed in abdominal windows by a single radiologist. Hounsfield Unit (HU) value of CT was used to interpret the density of the stone. The density of the stone was measured in the longest axis of the stone center (core) and the edges (periphery) of each stone. Biochemical analysis of spot urine calcium (Ca) and uric acid (UA) was done at the time of diagnosis. Correlation and linear regression analysis was performed.
RESULTS: Forty patients were included the study and median age of patients is 22 (IQR 21-28). Since the unit was a military hospital, most patients admitted to hospital were young male conscripts with low median age. It has been found that spot urine uric acid and uric acid/Ca ratio is associated with stone density as HU (P=0.004, P<0.001). Although predictive value appeared low, linear regression model statistically predicted stone density as HU (P<0.001 R2=0.32). Stone size has proved to be positively correlated with stone density (P<0.001).
CONCLUSIONS: Despite the predictive value of urine analysis model is low, it may be considered to predict HU attenuation of stone. Spot urine analysis of calcium and uric acid may be helpful for both diagnosis and follow-up. We believe that controlled studies with larger patient populations will provide further insights into this issue.