| Models to predict changes in serum IGF1 and body composition in response to GH replacement therapy in GH-deficient adults. | |
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MedLine Citation:
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PMID: 20145045 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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OBJECTIVE: Clinical response to GH therapy in GH-deficient (GHD) adults varies widely. Good predictors of treatment response are lacking. The aim of the study was to develop mathematical models to predict changes in serum IGF1 and body composition (BC) in response to GH therapy in GHD adults. DESIGN AND METHODS: One hundred and sixty-seven GHD patients (103 men, median age 50 years) were studied before and after 12 months of GH treatment. GH dose was tailored according to serum IGF1 concentrations. Good responders (GR) and poor responders (PR) to GH therapy were defined as patients with a response >60th and <40th percentile respectively, for changes in serum IGF1 levels (adjusted for GH cumulative dose) and in BC (lean body mass (LBM) and body fat determined using dual-energy X-ray absorptiometry). A logistic regression model was used to predict the probability of being a GR or PR. RESULTS: In the IGF1 prediction model, men (odds ratio (OR) 5.62: 95% confidence interval 2.59-12.18) and patients with higher insulin levels (OR 1.06: 1.00-1.12) were more likely to be GR. The accuracy of the prediction model was 70%. In the BC model, men (OR 10.72: 1.36-84.18) and GHD patients with lower LBM (OR 0.82: 0.73-0.92) and greater height (OR 1.23: 1.08-1.40) at baseline were more likely to be GR. The accuracy of the prediction model was 80%. CONCLUSION: Accurate mathematical models to predict GH responsiveness in GHD adults were developed using gender, body height, baseline LBM, and serum insulin levels as the major clinical predictors. |
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Authors:
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Edna J L Barbosa; Josef Koranyi; Helena Filipsson; Bengt-Ake Bengtsson; Cesar Luiz Boguszewski; Gudmundur Johannsson |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2010-02-09 |
Journal Detail:
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Title: European journal of endocrinology / European Federation of Endocrine Societies Volume: 162 ISSN: 1479-683X ISO Abbreviation: Eur. J. Endocrinol. Publication Date: 2010 May |
Date Detail:
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Created Date: 2010-04-27 Completed Date: 2010-05-07 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9423848 Medline TA: Eur J Endocrinol Country: England |
Other Details:
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Languages: eng Pagination: 869-78 Citation Subset: IM |
Affiliation:
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Department of Endocrinology, Institution of Internal Medicine, The Sahlgrenska Academy, Sahlgrenska University Hospital, Gothenburg University, Gothenburg, Sweden. edna.barbosa@medic.gu.se |
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| MeSH Terms | |
Descriptor/Qualifier:
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Adult Body Composition / drug effects* Female Human Growth Hormone / deficiency*, therapeutic use* Humans Insulin / blood Insulin-Like Growth Factor I / metabolism* Logistic Models Male Middle Aged Models, Biological Predictive Value of Tests Treatment Outcome |
| Chemical | |
Reg. No./Substance:
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11061-68-0/Insulin; 12629-01-5/Human Growth Hormone; 67763-96-6/Insulin-Like Growth Factor I |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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