Unilateral Genital Tract Obstruction with Ipsilateral Renal Anomaly Syndrome: Classification, Clinical Manifestations, and Precise Diagnose

Abstract

To recommend the classification of unilateral genital tract obstruction with ipsilateral renal anomaly (UGTOIRA) syndrome into five types based on the site of obstruction, and to analyze the clinical manifestations and precise diagnosis of the syndrome. Methods: The data, including demographic characteristics, symptoms, and precise diagnoses from 59 patients over the last decade, were retrospectively analyzed. Data analysis was conducted using the statistical software package SPSS 26.0. Results: All 59 patients diagnosed with UGTOIRA syndrome were classified into five types based on the site of obstruction: Type I (vaginal obstruction) (45, 76.3%), Type II (cervicovaginal obstruction) (7, 11.9%), Type III (cervical obstruction) (3, 5.1%), Type IV (unilateral partial cervical aplasia) (3, 5.1%), and Type V (Unilateral isthmus atresia) (1, 1.7%). Of these cases, there were 34 cases (57.6%) with communication and 25 cases (42.4%) without communication between the left and right genital tracts. The chief complaints included dysmenorrhea alone in 28 cases (47.5%), dysmenorrhea accompanied by blood dripping after menstruation in 12 cases (20.3%), blood dripping after menstruation alone in 14 cases (23.7%), purulent vaginal secretions in one case (1.7%), vaginal pain in one case (1.7%), irregular menstruation in one case (l.7%), and infertility in two cases (3.4%). The precise diagnostic criteria include the affected side, abnormalities in the kidney and ureter, the site of obstruction, the location of blood accumulation, the size of the ipsilateral genital tract, whether there is communication and its site, the type based on the site of obstruction, and the presence and type of complications. Conclusion: This classification of UGTOIRA syndrome encompasses the anatomical features of all cases reported in our study. Only by fully understanding the anatomical characteristics of this syndrome and identifying its clinical manifestations can clinicians make precise diagnoses as early as possible and provide individualized management.