Objective To improve the recognition and knowledge of autosomal dominant polycystic kidney disease (ADPKD) related male infertility through investigation for MRI characteristics of this disease. Methods Fourteen patients confirmed with ADPKD related obstructive azoospermia were retrospectively analyzed. All patients referred to clinic with male infertility, and obstructive azoospermia were additionally confirmed by laboratory tests and clinical examination. Subsequent abdominopelvic MR examinations were performed to comfirm obstructive factors and obstructive location. All patients were performed an abdominopelvic MR examination including non-enhanced and enhanced MR. MR imaging characteristics were analyzed and summarized by two experienced radiologists. Results MRI results for all cases were classified into 4 groups:10 cases with bilateral polycystic kidneys and bilateral seminal vesicle cysts, 2 cases with bilateral polycystic kidneys, polycystic liver and bilateral seminal vesicle cysts, 1 case with bilateral polycystic kidneys, polycystic liver and absence of bilateral seminal vesicles, 1 case with bilateral cystic kidneys, bilateral seminal vesicle cysts as well as Müllerian duct cyst. A wide range of coronal T2WI scan was necessary to observe cystic lesions in both liver and bilateral kidneys as well as abnormal changes in pelvis. The obstructive sites in all cases were located in level from ejaculatory duct to seminal vesicle. Bilateral seminal vesicle cysts presented as significantly dilated glandular ducts of seminal vesicles, in which flocculence or nodular sediment can be found. Conclusion Male infertility caused by ADPKD-related deferential duct obstrution is characterized by bilateral polycystic kidney disease and Seminal vesicle ejaculatory duct obstruction in MRI, which can be combined with other abnormalities.

Objective:To study the risk factors and prognosis of pulmonary hypertension(PH) associated with bronchopulmonary dysplasia (BPD) in extremely preterm infants(EPIs).Methods:From January 2020 to December 2021, EPIs [gestational age (GA) <32 w] with BPD admitted to NICU of our hospital were retrospectively assigned into two groups: BPD with late-onset PH(PH group) and BPD without late-onset PH(non-PH group). Their general condition, treatment and prognosis were compared and the risk factors of late-onset PH were analyzed.Results:A total of 229 EPIs with BPD were enrolled, including 24(10.5%) in the PH group and 205(89.5%) in the non-PH group. The PH group had significantly smaller GA [(27.9±2.3) w vs. (28.7±1.8) w], longer mechanical ventilation [42.0(16.0, 84.0) d vs. 9.0(2.0, 23.0) d], longer hospital stay [100.5(86.3, 142.0) d vs. 77.0(56.5, 96.5)d],higher incidence of early-onset PH(54.2% vs. 9.3%) and higher mortality rate(33.3% vs. 9.8%) than the non-PH group ( P<0.05). Multivariate logistic regression analysis showed prolonged mechanical ventilation ( OR=1.046, 95% CI 1.011~1.064), early-onset PH ( OR=5.414, 95% CI 1.796~16.323) were independent risk factors for BPD with late-onset PH. 8(33.3%) patients in the PH group died, including 2 with grade Ⅱ BPD and 6 grade Ⅲ BPD. Conclusions:Prolonged mechanical ventilation and early-onset PH are independent risk factors for late-onset PH in BPD infants. BPD infants with late-onset PH have longer hospital stay, higher mortality and worse prognosis.

Objective:To develop a risk prediction model for identifying bronchopulmonary dysplasia (BPD) associated pulmonary hypertension (PH) in very premature infants.Methods:This was a retrospective cohort study. The clinical data of 626 very premature infants whose gestational age <32 weeks and who suffered from BPD were collected from October 1 st, 2015 to December 31 st, 2021 of the Seventh Medical Center of the People′s Liberation Army General Hospital as a modeling set. The clinical data of 229 very premature infants with BPD of Hunan Children′s Hospital from January 1 st, 2020 to December 31 st, 2021 were collected as a validation set for external verification. The very premature infants with BPD were divided into PH group and non PH group based on the echocardiogram after 36 weeks′ corrected age in the modeling set and validation set, respectively. Univariate analysis was used to compare the basic clinical characteristics between groups, and collinearity exclusion was carried out between variables. The risk factors of BPD associated PH were further screened out by multivariate Logistic regression, and the risk assessment model was established based on these variables. The receiver operating characteristic (ROC) area under curve (AUC) and Hosmer-Lemeshow goodness-of-fit test were used to evaluate the model′s discrimination and calibration power, respectively. And the calibration curve was used to evaluate the accuracy of the model and draw the nomogram. The bootstrap repeated sampling method was used for internal verification. Finally, decision curve analysis (DCA) to evaluate the clinical practicability of the model was used. Results:A total of 626 very premature infants with BPD were included for modeling set, including 85 very premature infants in the PH group and 541 very premature infants in the non PH group. A total of 229 very premature infants with BPD were included for validation set, including 24 very premature infants in the PH group and 205 very premature infants in the non PH group. Univariate analysis of the modeling set found that 22 variables, such as artificial conception, fetal distress, gestational age, birth weight, small for gestational age, 1 minute Apgar score ≤7, antenatal corticosteroids, placental abruption, oligohydramnios, multiple pulmonary surfactant, neonatal respiratory distress syndrome (NRDS)>stage Ⅱ, early pulmonary hypertension, moderate-severe BPD, and hemodynamically significant patent ductus arteriosus (hsPDA) all had statistically significant influence between the PH group and the non PH group (all P<0.05). Antenatal corticosteroids, fetal distress, NRDS >stage Ⅱ, hsPDA, pneumonia and days of invasive mechanical ventilation were identified as predictive variables and finally included to establish the Logistic regression model. The AUC of this model was 0.86 (95% CI 0.82-0.90), the cut-off value was 0.17, the sensitivity was 0.77, and the specificity was 0.84. Hosmer-Lemeshow goodness-of-fit test showed that P>0.05. The AUC for external validation was 0.88, and the Hosmer-Lemeshow goodness-of-fit test suggested P>0.05. Conclusions:A high sensitivity and specificity risk prediction model of PBD associated PH in very premature infants was established. This predictive model is useful for early clinical identification of infants at high risk of BPD associated PH.