Literature DB >> 28679186

Predictive factors for stone disease in patients with renal colic.

Hakan Türk1, Sıtkı Ün.   

Abstract

INTRODUCTION: Many patients present to urology and emergency departments for acute renal colic complaints. There are many different imaging studies that can be used in patients with a pre-diagnosis of acute renal colic. In this study, we would like to assess the efficacy of using clinical and laboratory results in patients with flank pain complaint as a predictive factor of urinary system stone disease.
MATERIALS AND METHODS: All patients were assessed using spinal non-contrast complete abdominal computerized tomography and urine analysis. Presence of stones and their number and size were recorded.
RESULTS: 516 patients who were included in the study were divided into 2 groups according to urinary stone presence. Group 1 (n = 388) consisted of patients with stones meanwhile patients in Group 2 (n = 128) were stone-free. According to these results, male sex, presence of microscopic hematuria, stone history in the family, nausea and emesis in addition to pain and accompanying urinary symptoms were detected as predictive factors in diagnosing urinary stone disease by multivariate analysis.
CONCLUSION: From our study results, we can conclude that uroflowmetry is a very useful tool in monitoring lower urinary system complaints.

Entities:  

Mesh:

Year:  2017        PMID: 28679186     DOI: 10.4081/aiua.2017.2.143

Source DB:  PubMed          Journal:  Arch Ital Urol Androl        ISSN: 1124-3562


  2 in total

1.  Development and validation of a clinical diagnostic model for pregnant women with renal colic in the emergency department in China: a protocol for a retrospective cohort study.

Authors:  YuZhan Lin; ZhiKai Xu; XiangCui Ding; Lei Chen; KangWei Dai
Journal:  BMJ Open       Date:  2022-05-02       Impact factor: 2.692

2.  Prevalence of microhematuria in renal colic and urolithiasis: a systematic review and meta-analysis.

Authors:  Bruno Minotti; Giorgio Treglia; Mariarosa Pascale; Samuele Ceruti; Laura Cantini; Luciano Anselmi; Andrea Saporito
Journal:  BMC Urol       Date:  2020-08-08       Impact factor: 2.264

  2 in total

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