Endocrine outcome and seminal parameters in young adult men born with hypospadias: A cross-sectional cohort study

Tack, Lloyd; Spinoit, Anne‐Françoise; Riedl, Stefan; Tonnhofer, Ursula; Hiess, Manuela; Weninger, Julia; Mahmoud, Ahmed; Tilleman, Kelly; Laecke, Erik Van; Juul, Anders; Albrethsen, Jakob; Baere, Elfride De; Velde, Julie Van De; Verdin, Hannah

doi:10.1016/j.ebiom.2022.104119

Cited by 7 publications

(1 citation statement)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Anogenital distance in rodents and humans is sexually dimorphic, with males being twice as large as females ( 7 , 8 ), and has been used as a marker of impaired fetal androgen action for decades ( 7 ). A shorter anogenital distance can largely predict external genital malformations at birth and is closely related to reproductive disorders in adulthood ( 9 , 10 ). Studies have reported that children with hypospadias and cryptorchidism have shorter anogenital distances than their peers ( 11 – 14 ), and proximal hypospadias have shorter anogenital distances than other types of hypospadias ( 15 , 16 ).…”

Section: Introductionmentioning

confidence: 99%

Development and verification of machine learning model based on anogenital distance, penoscrotal distance, and 2D:4D finger ratio before puberty to predict hypospadias classification

He,

Yang,

Tang

et al. 2024

Front. Pediatr.

View full text Add to dashboard Cite

ObjectivesTo describe the anatomical abnormalities of hypospadias before puberty using current commonly used anthropometric index data and predict postoperative diagnostic classification.MethodsChildren with hypospadias before puberty who were initially treated at Sichuan Provincial People's Hospital from April 2021 to September 2022 were selected. We recorded their preoperative penoscrotal distance, anogenital distance, 2D:4D finger ratio, and postoperative hypospadias classification. The receiver operating character curve was used for univariate analysis of the diagnostic predictive value of each index for hypospadias classification in the training set. Binary logistic regression, random forest, and support vector machine models were constructed. In addition, we also prospectively collected data from October 2022 to September 2023 as a test set to verify the constructed machine learning models.ResultsThis study included 389 cases, with 50 distal, 167 midshaft, and 172 proximal cases. In the validation set, the sensitivity of the binary LR, RF, and SVM was 17%, 17% and 0% for identifying the distal type, 61%, 55% and 64% for identifying the midshaft type, and 56%, 60% and 48% for identifying the proximal type, respectively. The sensitivity of the three-classification RF and SVM models was 17% and 17% for distal type, 64% and 73% for midshaft type, 60% and 60% for proximal type, respectively. In the Testing set, the sensitivity of the binary LR, RF and SVM was 6%, 0% and 0% for identifying the distal type, 64%, 55% and 66% for identifying the midshaft type, and 48%, 62% and 39% for identifying the proximal type, respectively. The sensitivity of the three-classification RF and SVM models was 12% and 0% for distal type, 57% and 77% for midshaft type, and 65% and 53% for proximal type, respectively. Compared with binary classification models, the sensitivity of the three-classification models for distal type was not improved.ConclusionAnogenital distance and penoscrotal distance have a favorable predictive value for midshaft and proximal hypospadias, among which AGD2, with higher test efficiency and stability, is recommended as the preferred anogenital distance indicator. The 2D:4D finger ratio (RadioL, RadioR) has little predictive value for hypospadias classification.

show abstract

Section: Introductionmentioning

confidence: 99%

Development and verification of machine learning model based on anogenital distance, penoscrotal distance, and 2D:4D finger ratio before puberty to predict hypospadias classification

He,

Yang,

Tang

et al. 2024

Front. Pediatr.

View full text Add to dashboard Cite

show abstract

Hypospadias Associated With Fetal Growth Restriction: A Multicentric Descriptive and Prognostic Cohort Study

Marquet,

Anselem,

Bouvattier

et al. 2024

Prenatal Diagnosis

View full text Add to dashboard Cite

ObjectiveTo determine the prevalence of genetic and endocrine abnormalities and to assess fetal, neonatal and surgical outcomes in cases of hypospadias associated with fetal growth restriction.MethodA multicentric retrospective study was conducted across five prenatal diagnosis centers in Paris. The cohort encompassed all fetuses diagnosed with the combination of fetal growth restriction < 10th percentile (FGR) and hypospadias from 2013 to 2021. Maternal data, fetal outcome and results of prenatal investigations were collected, along with postnatal data, encompassing endocrinological and genetic assessments, functional aspects and surgical outcomes.ResultsAmong the 82 patients included in the cohort, there were 14 (17%) terminations of pregnancy and four (5%) in utero deaths, leaving 64 (78%) live neonates, including five (6%) with early neonatal death. Among the 52 (63%) cases where hypospadias and FGR were considered as ultrasound‐isolated anomalies, six (12%, [3.2%–20.8%]) exhibited chromosomic, genetic, or endocrinological abnormalities diagnosed half prenatally and half postnatally. Fifty percent of the overall hypospadias were proximal. Most children underwent surgical intervention before reaching 2 years of age, with 50% encountering complications and often required reintervention.ConclusionThe association of FGR and hypospadias should not be underestimated as genetic or endocrinological abnormalities were identified even when hypospadias and FGR initially appear isolated. Additionally, the overall prognosis may be worsened using complex and iterative surgical procedures.

show abstract

45,X/46,XY gonadal dysgenesis, 46,XX/46,XY chimerism (and variants), and 46,XX testicular and ovotesticular DSD

Syryn,

Cools

2024

Reference Module in Biomedical Sciences

View full text Add to dashboard Cite

Endocrine outcome and seminal parameters in young adult men born with hypospadias: A cross-sectional cohort study

Cited by 7 publications

References 31 publications

Development and verification of machine learning model based on anogenital distance, penoscrotal distance, and 2D:4D finger ratio before puberty to predict hypospadias classification

Development and verification of machine learning model based on anogenital distance, penoscrotal distance, and 2D:4D finger ratio before puberty to predict hypospadias classification

Hypospadias Associated With Fetal Growth Restriction: A Multicentric Descriptive and Prognostic Cohort Study

45,X/46,XY gonadal dysgenesis, 46,XX/46,XY chimerism (and variants), and 46,XX testicular and ovotesticular DSD

Contact Info

Product

Resources

About