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Study on the diagnostic efficacy of the computerized tomography attenuation value of renal pelvis urine in true bacteriuria secondary to renal and ureteral stones

Year: 2025
Type: article
Study design: Observational Study
Abstract: ), with optimal diagnostic accuracy [area under the curve (AUC) = 0.867]. Logistic regression analysis showed that advanced age, positive urinary leukocyte esterase (LE) (+) levels, and increased CT values of the renal pelvis urine were risk factors. The AUC of the nomogram model was 0.94. The calibration curve and clinical decision curve analysis verified that this model had a good predictive performance. The CT value of renal pelvic urine can be used to predict the risk of bacteriuria secondary to renal and ureteral stones. An average CT value of renal pelvis urine >7.25 HU, age >57.5 years, and positive urine LE (≥1+) are risk factors. The nomogram prediction model incorporating these factors allowed for the rapid assessment of patients with urinary tract stones, demonstrating high predictive accuracy and significant clinical value.
Language: English
Field: Medicine
Open Access status: gold
Estimated APC paid: $2,306
OpenAlex ID: W4414398235
FWCI: 1.181
Cites: 37
Cited by: 2
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