A combined PCA demonstrated clustering of patients with classical and non-classical CAH by serum 17-hydroxyprogesterone (17-OHP) and dehydroepiandrosterone-sulphate (DHEAS) concentrations.Ĭonclusion: As an example of the possibilities of PCA, endocrine profiles were successfully able to distinguish between patients with CAH according to treatment efficacy and to elucidate biochemical differences between classical and non-classical CAH.Ĭongenital adrenal hyperplasia (CAH) is a genetic disorder primarily caused by 21-hydroxylase deficiency. Endocrine profile scores were predictive markers of treatment efficacy for classical (AUC=92% accuracy 95% p=1.8e-06) and non-classical CAH (AUC=80% accuracy 91% p=0.004). Results: We provide and describe the first PCA models with hormone parameters denoted in sex- and age-adjusted standard deviation (SD) scores to comprehensibly describe the combined ‘endocrine profiles’ of patients with classical and non-classical CAH, respectively. PCAs were applied to serum hormone concentrations and compared to treatment efficacy evaluated by clinical parameters. Methods: This retrospective, longitudinal cohort of 33 children and adolescents with CAH due to 21-hydroxylase deficiency included 406 follow-up observations. The aim of this study was to introduce PCA methodology as a tool to optimize management in a cohort of pediatric and adolescent patients with CAH by including adrenal steroid measurements and clinical parameters. Optimal treatment of pediatric congenital adrenal hyperplasia (CAH) remains a challenge and requires evaluation of all biochemical and clinical markers. Purpose: Principal component analysis (PCA) is a mathematical model which simplifies data into new, combined variables. 3Hormone Laboratory, Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway.2International Center for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.1Department of Growth and Reproduction, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.Marie Lindhardt Ljubicic 1,2, Andre Madsen 1,2,3, Anders Juul 1,2, Kristian Almstrup 1,2 and Trine Holm Johannsen 1,2*
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