OBJECTIVE: To identify parameters which predict individual growth response to recombinant human GH (rhGH) therapy and to combine these parameters in a prediction model. DESIGN: Fifty-eight prepubertal patients with GH deficiency (17 females) participated in this prospective multicenter trial with 1 year of follow-up. METHODS: Auxological measurements, parameters of GH status and markers of bone metabolism were measured at baseline and at 1, 3 and 6 months after the start of rhGH treatment. Correlations with height velocity during the first 12 months of treatment (HV+12) were calculated. Prediction models were derived by multiple regression analysis. RESULTS: The model which best predicted HV+12 combined the following parameters: pretreatment bone age retardation as a fraction of chronological age, pretreatment serum levels of IGF-I, urinary levels of deoxypyridinoline (a marker of bone resorption) after 1 month of treatment and height velocity after 3 months of treatment. This model explained 89% of the variation in HV+12 with a standard deviation of the residuals of 0.93 cm/year. Defining successful rhGH therapy as a doubling of pretreatment height velocity, the model had a specificity of 90% and a sensitivity of 100% in predicting therapeutic success. CONCLUSIONS: This model is an accurate and practicable tool to predict growth response in GH-deficient children. It may help to optimize rhGH therapy by individual dose adjustment and contribute to improved overall outcomes.
OBJECTIVE: To identify parameters which predict individual growth response to recombinant human GH (rhGH) therapy and to combine these parameters in a prediction model. DESIGN: Fifty-eight prepubertal patients with GH deficiency (17 females) participated in this prospective multicenter trial with 1 year of follow-up. METHODS: Auxological measurements, parameters of GH status and markers of bone metabolism were measured at baseline and at 1, 3 and 6 months after the start of rhGH treatment. Correlations with height velocity during the first 12 months of treatment (HV+12) were calculated. Prediction models were derived by multiple regression analysis. RESULTS: The model which best predicted HV+12 combined the following parameters: pretreatment bone age retardation as a fraction of chronological age, pretreatment serum levels of IGF-I, urinary levels of deoxypyridinoline (a marker of bone resorption) after 1 month of treatment and height velocity after 3 months of treatment. This model explained 89% of the variation in HV+12 with a standard deviation of the residuals of 0.93 cm/year. Defining successful rhGH therapy as a doubling of pretreatment height velocity, the model had a specificity of 90% and a sensitivity of 100% in predicting therapeutic success. CONCLUSIONS: This model is an accurate and practicable tool to predict growth response in GH-deficientchildren. It may help to optimize rhGH therapy by individual dose adjustment and contribute to improved overall outcomes.
Authors: G Migliaretti; S Ditaranto; C Guiot; S Vannelli; P Matarazzo; N Cappello; I Stura; F Cavallo Journal: J Endocrinol Invest Date: 2018-01-09 Impact factor: 4.256
Authors: D Valle; E Bartolotta; M Caruso; C De Sanctis; A Falorni; G Saggese; A M Pasquino; L Tauchmanova; A Cicognani Journal: J Endocrinol Invest Date: 2010-10-27 Impact factor: 4.256
Authors: Paulo F Collett-Solberg; Geoffrey Ambler; Philippe F Backeljauw; Martin Bidlingmaier; Beverly M K Biller; Margaret C S Boguszewski; Pik To Cheung; Catherine Seut Yhoke Choong; Laurie E Cohen; Pinchas Cohen; Andrew Dauber; Cheri L Deal; Chunxiu Gong; Yukihiro Hasegawa; Andrew R Hoffman; Paul L Hofman; Reiko Horikawa; Alexander A L Jorge; Anders Juul; Peter Kamenický; Vaman Khadilkar; John J Kopchick; Berit Kriström; Maria de Lurdes A Lopes; Xiaoping Luo; Bradley S Miller; Madhusmita Misra; Irene Netchine; Sally Radovick; Michael B Ranke; Alan D Rogol; Ron G Rosenfeld; Paul Saenger; Jan M Wit; Joachim Woelfle Journal: Horm Res Paediatr Date: 2019-09-12 Impact factor: 2.852
Authors: José I. Labarta; Michael B. Ranke; Mohamad Maghnie; David Martin; Laura Guazzarotti; Roland Pfäffle; Ekaterina Koledova; Jan M. Wit Journal: J Clin Res Pediatr Endocrinol Date: 2020-10-02