Background: Prader-Willi syndrome (PWS) is a multisystem genetic disorder, which has a typical eating behavior and growth pattern. In the infancy period, children with PWS have low body weight followed by hyperphagia in later childhood. Disease-specific growth charts have been recommended for monitoring PWS patients. Previous literature demonstrated growth differences among individuals with PWS of different ethnicity. Methods: A retrospective multicenter study was performed in PWS patients from different areas of Thailand included collaboration with the Thai PWS support group during 2000-2017. Baseline characteristics and anthropometric data were reviewed. Both growth hormone and non-growth hormone received patients were included, but the data after receiving GH were excluded before curve construction. Growth charts for Thai PWS compared to the 50th normative centile were constructed using Generalized Least Squares (GLS) methods. Curve smoothing was performed by Fractional Polynomials and Exponential Transformation. Result: One hundred and thirteen patients with genetically confirmed PWS (55 males and 58 females) were enrolled. Fifty percent of patients were diagnosed less than 6 months of age. We developed growth charts for non-growth hormone treated Thai children with PWS aged between 0 and 18 years. A growth pattern was similar to other ethnicities while there were some differences. Mean birth weight of PWS patients was less than that of typical newborns. Mean adult height at 18 years of age in Thai children with PWS was lower than that in American children, but taller than Japanese. Mean weight of Thai PWS males at 18 years of age was more than those from other countries. Conclusion: This study is the first to document PWS-specific growth charts in Southeast Asian population. These growth charts will be useful in improving the quality of patient care and in evaluating the impact of growth hormone treatment in the future.

Background: Prader-Willi syndrome (PWS) is a genetic disorder with multisystemic involvement. Age-dependent subtle facial characteristics are noted, making it is difficult for physicians to recognize the syndrome. Computer-aided facial dysmorphism analysis, the Facial Dysmorphology Novel Analysis (FDNA), is an automated facial detection program associated with possible syndromes using 2D-photo. The FDNA was developed using pictorial data mainly from Caucasian individuals. This study intended to determine diagnostic yields of FDNA for Thai PWS patients and to compare the results before and after program training (PT). Methods: Patients with molecularly confirmed PWS were enrolled. Frontal facial photos were obtained and randomly divided into 2 groups: (I) training group and (II) test group.