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- Title
Application of the postnatal urinary tract dilation classification system to predict the need for surgical intervention among neonates and young infants.
- Authors
Jisun Hwang; Pyeong Hwa Kim; Hee Mang Yoon; Sang Hoon Song; Ah Young Jung; Jin Seong Lee; Young Ah Cho
- Abstract
Purpose: The aim of this study was to validate the postnatal urinary tract dilation (UTD) classification system by correlating it with the need for surgical intervention. Methods: Young infants who underwent ultrasound (US) examinations for prenatal hydronephrosis were retrospectively identified. The kidney units (KUs; right, left, or bilateral) were graded from UTD P0 (very low risk) to P3 (high risk) based on seven US criteria from the UTD system. Surgery-free survival curves were constructed using the Kaplan-Meier method. Univariable and multivariable Cox proportional-hazards regression analysis clustered by patients was performed. Interobserver agreement was analyzed using the weighted kappa coefficient. Results: In total, 504 KUs from 336 patients (mean age, 18.3±15.9 days; range, 1 to 94 days; males, n=276) were included, with a median follow-up of 24.2 months. Fifty-eight KUs underwent surgical intervention. Significant differences were observed among the Kaplan-Meier curves stratified into UTD groups (P<0.001). The presence of anterior-posterior renal pelvic diameter =15 mm (hazard ratio [HR], 8.602; 95% confidence interval [CI], 1.558 to 43.065), peripheral calyceal dilation (HR, 8.190; 95% CI, 1.558 to 43.065), ureteral dilation (HR, 2.619; 95% CI, 1.274 to 5.380), parenchymal thickness abnormality (HR, 3.371; 95% CI, 1.574 to 7.223), bladder abnormality (HR, 12.209; 95% CI, 3.616 to 41.225) were significantly associated with the occurrence of surgery. The interobserver agreement was moderate to almost perfect agreement for US features (p=0.564-0.898) and substantial for final UTD grades (p=0.716). Conclusion: The UTD classification system is reliable and appropriately stratifies the risk of surgical intervention.
- Subjects
URINARY organs; PREMATURE infants; NEWBORN infants; INFANTS; REGRESSION analysis; CLUSTER analysis (Statistics)
- Publication
Ultrasonography, 2023, Vol 42, Issue 1, p136
- ISSN
2288-5919
- Publication type
Article
- DOI
10.14366/usg.22035