Neural Network Analysis of Crystalluria Content to Predict Urinary Stone Type

Almannie, Raed; Alsufyani, Abdullah; Alturki, Abdullah U; Almuhaideb, Mana; Binsaleh, Saleh; Althunayan, Abdulaziz; Al-Omar, Mohammed A.; Al-Barraq, Khalid Manawer; Alyami, Fahad

doi:10.2147/rru.s322580

Cited by 6 publications

(1 citation statement)

References 22 publications

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“…Several factors missing from other scoring systems were included in the UROLITHIASIS score. Crystalluria is considered a marker of urine supersaturation, which may be the result of certain metabolic disorders and disproportional urinary inhibitors and promoters, which may ultimately lead to the formation of urolithiasis 25 . From routine serum biochemistry results, we found a significant association between the serum creatinine levels and urolithiasis.…”

Section: Discussionmentioning

confidence: 99%

Comprehensive prediction of urolithiasis based on clinical factors, blood chemistry and urinalysis: UROLITHIASIS score

Kim,

2023

Sci Rep

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Comprehensive prediction of urolithiasis using available factors obtained in the emergency department may aid in patient-centered diagnostic imaging decisions. This retrospective study analyzed the clinical factors, blood chemistry and urine parameters of patients who underwent nonenhanced urinary computed tomography for suspected urolithiasis. A scoring system was developed from a logistic regression model and was tested using the area under the curve (AUC). The prevalence of urolithiasis and important possible causes in the three risk subgroups were determined. Finally, the scoring model was validated. In the derivation cohort (n = 673), 566 patients were diagnosed with urolithiasis. Age > 35 years, history of urolithiasis, pain duration < 8 h, nausea/vomiting, costovertebral angle tenderness, serum creatinine ≥ 0.92 mg/dL, erythrocytes ≥ 10/high power field, no leukocytes ≤ + , and any crystalluria were retained in the final multivariable model and became part of the score. This scoring model demonstrated good discrimination (AUC 0.808 [95% CI, 0.776–0.837]). In the validation cohort (n = 336), the performance was similar (AUC 0.803 [95% CI, 0.756–0.844]), surpassing that of the STONE score (AUC 0.654 [95% CI, 0.601–0.705], P < 0.001). This scoring model successfully stratified patients according to the probability of urolithiasis. Further validation in various settings is needed.

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Section: Discussionmentioning

confidence: 99%

Comprehensive prediction of urolithiasis based on clinical factors, blood chemistry and urinalysis: UROLITHIASIS score

Kim,

2023

Sci Rep

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Bariatric surgery does not affect kidney stone disease

Iossa,

Pastore,

Coluzzi

et al. 2024

Sci Rep

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Background: numerous epidemiological studies demonstrate the correlation between obesity and urolithiasis. Bariatric surgery is effective in significant weight loss, reducing mortality rates, and lowering the incidence of obesity-related comorbidities. However, it may be associated with long-term complications such as urolithiasis, with an estimated increase of 7.6% in bariatric patients. This study investigates the impact of various bariatric surgical techniques and personal and nutritional habits on post-operative urolithiasis. Material and method: 185 patients were prospectively enrolled in the study. All patients underwent nutritional assessment two years after surgery, and urinary stone disease was evaluated through urinalysis. Patients with urinary crystals were subsequently sent to the division of Urology to evaluate the possible presence of urinary stones through an abdominal CT scan. Results: kidney stone disease was present in 12 female patients (12/ 185 − 6.49%) out of the 25 (12/25–48%) with urinary crystals. Among the various surgical techniques, 8 patients underwent SG, 2 patients each for OAGB and RYGB, without a proven significant correlation. Hypertension, Dyslipidemia, and OSAS were significantly correlated with the incidence of urolithiasis (p-value < 0.05). BMI > 30 kg/m2 was significantly correlated with urinary stone formation (p-value < 0.05). Conclusion: patients undergoing bariatric surgery should receive counseling about the risk of developing urolithiasis (6.49%) independently from the surgical treatment, highlighting the necessity of adhering to nutritional guidelines. Evaluation for urinary stones could be recommended during follow-up, especially for patients with a BMI > 30 kg/m 2 .

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Bariatric Surgery and Kidney Stone Disease: Does the Procedure Matter? Prospective Single Centre Experience

Iossa,

Pastore,

Coluzzi

et al. 2024

Preprint

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Background: Numerous epidemiological studies demonstrate the correlation between obesity and urolithiasis. Bariatric Surgery is effective in significant weight loss, reducing mortality rates, and lowering the incidence of obesity-related comorbidities. However, it may be associated with long-term complications such as urolithiasis, with an estimated increase of 7.6% in bariatric patients. This study investigates the impact of various bariatric surgical techniques and personal and nutritional habits on post-operative urolithiasis. Material and method: 185 patients were prospectively enrolled in the study. All patients underwent nutritional assessment two years after surgery, and urinary stone disease was evaluated through urinalysis. Patients with urinary crystals were subsequently sent to the division of Urology to evaluate the possible presence of urinary stones through an abdominal CT scan. Results: Kidney stone disease was present in 12 female patients (6.49%) out of the 25 with urinary crystals. Among the various surgical techniques, 8 patients underwent SG, 2 patients each for OAGB and RYGB, without a proven significant correlation. Hypertension, Dyslipidemia, and OSAS were significantly correlated with the incidence of urolithiasis (p-value < 0.05). BMI > 30 kg/m2 was significantly correlated with urinary stone formation (p-value < 0.05). Conclusion: Patients undergoing bariatric surgery should receive counseling about the risk of developing urolithiasis, highlighting the necessity of adhering to nutritional guidelines. Evaluation for urinary stones could be recommended during follow-up, especially for patients with a BMI > 30 kg/m².

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Neural Network Analysis of Crystalluria Content to Predict Urinary Stone Type

Cited by 6 publications

References 22 publications

Comprehensive prediction of urolithiasis based on clinical factors, blood chemistry and urinalysis: UROLITHIASIS score

Comprehensive prediction of urolithiasis based on clinical factors, blood chemistry and urinalysis: UROLITHIASIS score

Bariatric surgery does not affect kidney stone disease

Bariatric Surgery and Kidney Stone Disease: Does the Procedure Matter? Prospective Single Centre Experience

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