Delayed Puberty Phenotype Observed in Noonan Syndrome Is More Pronounced in Girls than Boys
| Autor: | Raissa C. Rezende, Renata Maria Noronha, Ana Keselman, Elisangela P.S. Quedas, Naiara C.B. Dantas, Nathalia L.M. Andrade, Debora R. Bertola, Alexsandra C. Malaquias, Alexander A.L. Jorge |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Hormone Research in Paediatrics. 95:51-61 |
| ISSN: | 1663-2826 1663-2818 |
| Popis: | Introduction: Pubertal delay is described as one of the clinical features in Noonan syndrome (NS) and it may be one of the factors causing short adult height in those patients. The present study aimed at characterizing pubertal development in NS and identifying pubertal delay predictors. Methods: We analyzed 133 individuals with a molecular diagnosis of NS and clinical puberty evaluation. We characterized delayed puberty as pubertal onset after 12 years in girls and 13.5 years in boys, according to parameters of the Brazilian population. To investigate its predictors, we correlated the age at onset of puberty with several characteristics and genotype in a multilevel regression model. For comprehending pubertal development in NS, we assessed age and anthropometric measures at each Tanner stage and adult age. Results: The mean age at puberty onset for girls was 11.9 ± 1.9 years and for boys, 12.5 ± 1.7 years, significantly later than the Brazilian population (p = 0.025; p < 0.001). Girls (49.1%) presented delayed puberty more frequently than boys (27.9%, p = 0.031). Body mass index standard deviation scores (SDS) and insulin growth factor 1 SDS at puberty onset significantly predicted later puberty entry. Height gain from the onset of puberty to adult height was lower in children with pubertal delay. Conclusion: Pubertal delay is characteristically found in children with NS, more frequently in females. The low weight of patients with NS could modulate the age of puberty, just as the increase in overweight/obesity in the general population has shown an effect on reducing the age of onset of puberty. |
| Databáze: | OpenAIRE |
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