Latent Class Analysis Identifies Distinctive Behavioral Subtypes in Children with Fragile X Syndrome.
Latent Class Analysis Identifies Distinctive Behavioral Subtypes in Children with Fragile X Syndrome.
复制标题
潜在类别分析可识别脆性 X 综合征儿童的独特行为亚型。
DOI:
10.1007/s10803-022-05821-7
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发表时间:
2024
影响因子:
3.9
通讯作者:
FORWARDConsortium
中科院分区:
文献类型:
--
作者:
Kaufmann,WalterE;Raspa,Melissa;Bann,CarlaM;Gable,JuliaM;Harris,HollyK;Budimirovic,DejanB;Lozano,Reymundo;FORWARDConsortium
Fragile X syndrome (FXS) is characterized by variable neurobehavioral abnormalities, which leads to difficulties in developing and evaluating treatments and in determining accurate prognosis. We employed a pediatric cross-sectional sample (1,072 males, 338 females) from FORWARD, a clinic-based natural history study, to identify behavioral subtypes by latent class analysis. Input included co-occurring behavioral conditions, sleep and sensory problems, autistic behavior scales (SCQ, SRS-2), and the Aberrant Behavior Checklist revised for FXS (ABCFX). A 5-class solution yielded the most clinically meaningful, pharmacotherapy independent behavioral groups with distinctive SCQ, SRS-2, and ABCFXprofiles, and adequate non-overlap (≥ 71%): “Mild” (31%), “Moderate without Social Impairment” (32%), “Moderate with Social Impairment” (7%), “Moderate with Disruptive Behavior” (20%), and “Severe” (9%). Our findings support FXS subtyping, for improving clinical management and therapeutic development.