Reference Growth Charts for Children With 47,XXY/Klinefelter Syndrome
Year: 2025
Type: article
Abstract: BACKGROUND AND OBJECTIVES: Although tall stature is commonly associated with 47,XXY/Klinefelter syndrome (KS), detailed childhood growth patterns are not well-defined. This study aimed to develop KS-specific growth charts for stature-for-age, weight-for-age, weight-for-length (0-24 months), and body mass index (BMI)-for-age (2-18 years). METHODS: We conducted a population-based secondary analysis using clinical data from 6 US pediatric centers. The cohort included 1279 males aged younger than 20 years with a diagnosis of KS and at least 1 outpatient measurement of height and/or weight. Nonparametric quantile regression was used to model age-related growth trajectories. RESULTS: A median of 6 longitudinal growth data points per individual contributed to the creation of KS-specific curves. Key differences from standard reference growth charts included the following: (1) approximately 20% of boys with KS aged younger than 4 years were below the 5th percentile for height, whereas approximately 25% exceeded the 95th percentile by late childhood; (2) height velocity increased in midchildhood (after age 6 years), but without a distinct pubertal growth spurt; and (3) BMI distribution was broader, with approximately 10% of individuals below the 5th percentile and approximately 25% above the 95th percentile. CONCLUSIONS: Boys with KS demonstrate distinct and variable growth trajectories compared with the general population. These KS-specific growth charts offer a valuable clinical tool for monitoring growth, guiding anticipatory counseling, and identifying atypical development patterns.
Source: PEDIATRICS
Authors: Shanlee M. Davis, Taylor E. Marshall, Karli S. Swenson, Samantha Bothwell, Natalie J. Nokoff, Amelia Middleton, Anna Furniss, Maram Alkhdour, Dimitri A. Christakis, Victoria A. Elliott, Jennifer Heeley, Chijioke Ikomi, Judith Ross, Stephen I. Stone, Maria G. Vogiatzi, Nicole R. Tartaglia
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W4415977371
