BACKGROUND: Pediatric endocrinopathies are commonly diagnosed and monitored by measuring hormones of the hypothalamic-pituitary-gonadal axis. Because growth and development can markedly influence normal circulating concentrations of fertility hormones, accurate reference intervals established on the basis of a healthy, nonhospitalized pediatric population and that reflect age-, gender-, and pubertal stage-specific changes are essential for test result interpretation. METHODS: Healthy children and adolescents (n = 1234) were recruited from a multiethnic population as part of the CALIPER study. After written informed parental consent was obtained, participants filled out a questionnaire including demographic and pubertal development information (assessed by self-reported Tanner stage) and provided a blood sample. We measured 7 fertility hormones including estradiol, testosterone (second generation), progesterone, sex hormone-binding globulin, prolactin, follicle-stimulating hormone, and luteinizing hormone by use of the Abbott Architect i2000 analyzer. We then used these data to calculate age-, gender-, and Tanner stage-specific reference intervals according to Clinical Laboratory Standards Institute C28-A3 guidelines. RESULTS: We observed a complex pattern of change in each analyte concentration from the neonatal period to adolescence. Consequently, many age and sex partitions were required to cover the changes in most fertility hormones over this period. An exception to this was prolactin, for which no sex partition and only 3 age partitions were necessary. CONCLUSIONS: This comprehensive database of pediatric reference intervals for fertility hormones will be of global benefit and should lead to improved diagnosis of pediatric endocrinopathies. The new database will need to be validated in local populations and for other immunoassay platforms as recommended by the Clinical Laboratory Standards Institute.
BACKGROUND:Pediatric endocrinopathies are commonly diagnosed and monitored by measuring hormones of the hypothalamic-pituitary-gonadal axis. Because growth and development can markedly influence normal circulating concentrations of fertility hormones, accurate reference intervals established on the basis of a healthy, nonhospitalized pediatric population and that reflect age-, gender-, and pubertal stage-specific changes are essential for test result interpretation. METHODS: Healthy children and adolescents (n = 1234) were recruited from a multiethnic population as part of the CALIPER study. After written informed parental consent was obtained, participants filled out a questionnaire including demographic and pubertal development information (assessed by self-reported Tanner stage) and provided a blood sample. We measured 7 fertility hormones including estradiol, testosterone (second generation), progesterone, sex hormone-binding globulin, prolactin, follicle-stimulating hormone, and luteinizing hormone by use of the Abbott Architect i2000 analyzer. We then used these data to calculate age-, gender-, and Tanner stage-specific reference intervals according to Clinical Laboratory Standards Institute C28-A3 guidelines. RESULTS: We observed a complex pattern of change in each analyte concentration from the neonatal period to adolescence. Consequently, many age and sex partitions were required to cover the changes in most fertility hormones over this period. An exception to this was prolactin, for which no sex partition and only 3 age partitions were necessary. CONCLUSIONS: This comprehensive database of pediatric reference intervals for fertility hormones will be of global benefit and should lead to improved diagnosis of pediatric endocrinopathies. The new database will need to be validated in local populations and for other immunoassay platforms as recommended by the Clinical Laboratory Standards Institute.
Authors: Cornelis J de Groot; Adriaan van den Berg; Bart E P B Ballieux; Herman M Kroon; Edmond H H M Rings; Jan M Wit; Erica L T van den Akker Journal: Horm Res Paediatr Date: 2017-03-31 Impact factor: 2.852
Authors: R Colin Carter; Joseph L Jacobson; Neil C Dodge; Douglas A Granger; Sandra W Jacobson Journal: Alcohol Clin Exp Res Date: 2014-04-09 Impact factor: 3.455
Authors: Dirk Vanderschueren; Michaël R Laurent; Frank Claessens; Evelien Gielen; Marie K Lagerquist; Liesbeth Vandenput; Anna E Börjesson; Claes Ohlsson Journal: Endocr Rev Date: 2014-09-09 Impact factor: 19.871
Authors: Kai Xia; Yang Yu; Mihye Ahn; Hongtu Zhu; Fei Zou; John H Gilmore; Rebecca C Knickmeyer Journal: Front Endocrinol (Lausanne) Date: 2014-10-30 Impact factor: 5.555
Authors: Gurmeet K S Singh; Ben W R Balzer; Patrick J Kelly; Karen Paxton; Catherine I Hawke; David J Handelsman; Katharine S Steinbeck Journal: PLoS One Date: 2015-11-23 Impact factor: 3.240
Authors: Paola Altieri; Chiara Barisione; Edoardo Lazzarini; Anna Garuti; Gian Paolo Bezante; Marco Canepa; Paolo Spallarossa; Carlo Gabriele Tocchetti; Sveva Bollini; Claudio Brunelli; Pietro Ameri Journal: J Am Heart Assoc Date: 2016-01-08 Impact factor: 5.501