Predictors of Recurrent Ureteral Stones: A Retrospective Analysis of Clinical, Demographic, and Metabolic Factors

Background While global meta-analyses have identified broad risk factors for kidney stone recurrence, data on specific determinants of recurrent ureteral stones in the Middle Eastern region remain limited. We aimed to identify the clinical, demographic, and metabolic determinants of recurrent ureteral stones, including body mass index (BMI). Materials This retrospective cohort study was conducted at a single institution in Saudi Arabia. Clinical data from 57 patients with ureteral stones were analyzed. The variables included age, sex, BMI, stone composition, comorbidities (diabetes mellitus (DM), hypertension (HT), and gout), and back pain. Univariate (independent t-tests and chi-square tests) and multivariate logistic regression models were used to assess associations with recurrence. Recurrence was defined as two or more episodes of stone passage or intervention within 12 months. Results Recurrence occurred in 30% of the patients. On multivariate analysis, gout (odds ratio (OR): 8.6, 95% confidence interval (CI): 1.3-56.7, p = 0.026) and uric acid stones (OR: 4.9, 95% CI: 1.1-21.9, p = 0.038) were independently associated with recurrence, while back pain showed a trend toward significance (OR: 4.1, 95% CI: 0.9-18.6, p = 0.07). BMI, age, and sex were not significantly associated (p > 0.05). Conclusion Gout and uric acid stone composition were independent predictors of ureteral stone recurrence. Despite the limitations of a small sample size and short follow-up period, targeted metabolic screening and management of hyperuricemia may reduce the risk of recurrence.

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Journal
Cureus
Published
2026-02-23
DOI
https://doi.org/10.7759/cureus.104093
Primary Topic
Kidney Stones and Urolithiasis Treatments
Type
article
Field-Weighted Citation Impact
0.00

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article

Predictors of Recurrent Ureteral Stones: A Retrospective Analysis of Clinical, Demographic, and Metabolic Factors

Karim Farhat, Danny Rabah, Farrukh Khan, Abdulaziz Mohammed Althunayan et al.
Cureus
Kidney Stones and Urolithiasis Treatments
article

Predictors of Recurrent Ureteral Stones: A Retrospective Analysis of Clinical, Demographic, and Metabolic Factors

Karim Farhat, Danny Rabah, Farrukh Khan, Abdulaziz Mohammed Althunayan, Mohamed F Farahat, Mostafa Arafa, Mashael Alshebaili
article en

Abstract

Background While global meta-analyses have identified broad risk factors for kidney stone recurrence, data on specific determinants of recurrent ureteral stones in the Middle Eastern region remain limited. We aimed to identify the clinical, demographic, and metabolic determinants of recurrent ureteral stones, including body mass index (BMI). Materials This retrospective cohort study was conducted at a single institution in Saudi Arabia. Clinical data from 57 patients with ureteral stones were analyzed. The variables included age, sex, BMI, stone composition, comorbidities (diabetes mellitus (DM), hypertension (HT), and gout), and back pain. Univariate (independent t-tests and chi-square tests) and multivariate logistic regression models were used to assess associations with recurrence. Recurrence was defined as two or more episodes of stone passage or intervention within 12 months. Results Recurrence occurred in 30% of the patients. On multivariate analysis, gout (odds ratio (OR): 8.6, 95% confidence interval (CI): 1.3-56.7, p = 0.026) and uric acid stones (OR: 4.9, 95% CI: 1.1-21.9, p = 0.038) were independently associated with recurrence, while back pain showed a trend toward significance (OR: 4.1, 95% CI: 0.9-18.6, p = 0.07). BMI, age, and sex were not significantly associated (p > 0.05). Conclusion Gout and uric acid stone composition were independent predictors of ureteral stone recurrence. Despite the limitations of a small sample size and short follow-up period, targeted metabolic screening and management of hyperuricemia may reduce the risk of recurrence.

CureusVol. 18(2)
King Faisal Specialist Hospital & Research Centre (SA), King Saud Medical City (SA), King Saud University (SA), Institute of Public Health Bengaluru (IN)
King Saud University
Good health and well-being
Openalex Percentile: Top 46%
Kidney Stones and Urolithiasis Treatments
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