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DOI 10.1016/j.urology.2017.06.028

Медицинская библиотека · Urology · 2017

Can a Simplified 12-Hour Nighttime Urine Collection Predict Urinary Stone Risk?

Hinck Bryan D, Ganesan Vishnuvardhan, Tarplin Sarah, Asplin John, Granja Ignacio, Calle Juan, Sivalingam Sri, Monga Manoj

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Аннотация

OBJECTIVE

To determine if there is correlation between nighttime 12-hour and traditional 24-hour urine collection in regard to chemistry values and the supersaturations of calcium oxalate, calcium phosphate, and uric acid for the metabolic evaluation of nephrolithiasis.

MATERIALS AND

METHODS

Ninety-five patients were prospectively enrolled from 2013 to 2015. Patients >18 years of age who presented to a tertiary stone clinic and who would normally be counseled for 24-hour urine collection were eligible for the study. Participants completed 24-hour urine collections twice, with each divided into 2 separate 12-hour collections. Day-time collection began after the first morning void and continued for 12 hours. The night collection proceeded for the next 12 hours through the first morning void.

RESULTS

Forty-nine 24-hour samples from 35 patients met inclusion criteria and were included in the analysis. Overall, there was strong correlation between the night 12-hour and the 24-hour urine collections with R2 ranging from 0.76 for pH to 0.96 for Citrate. In our analysis of variability, the nighttime 12-hour collection differed from the 24-hour collection by 30% in 1-9 patients (2.0%-18.4%) based on individual chemistry value. Diagnosis of underlying metabolic abnormalities was concordant in 92% of patients.

CONCLUSION

A 12-hour nighttime collection has strong correlation with 24-hour urine collection. As such, simplifying the metabolic evaluation to a 12-hour overnight collection may be feasible-improving compliance and decreasing patient burden.

Для цитирования: Hinck Bryan D, Ganesan Vishnuvardhan, Tarplin Sarah, Asplin John, Granja Ignacio, Calle Juan, Sivalingam Sri, Monga Manoj. Can a Simplified 12-Hour Nighttime Urine Collection Predict Urinary Stone Risk?. Urology. 2017. DOI: 10.1016/j.urology.2017.06.028.

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