Models to predict changes in serum IGF1 and body composition in response to GH replacement therapy in GH-deficient adults
| Autor: | Bengt-Åke Bengtsson, Helena Filipsson, Josef Koranyi, Cesar Luiz Boguszewski, Edna J L Barbosa, Gudmundur Johannsson |
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| Rok vydání: | 2010 |
| Předmět: |
Adult
Male medicine.medical_specialty Percentile Endocrinology Diabetes and Metabolism medicine.medical_treatment Logistic regression Models Biological Endocrinology Predictive Value of Tests Internal medicine medicine Humans Insulin Insulin-Like Growth Factor I Human Growth Hormone Cumulative dose business.industry General Medicine Odds ratio Middle Aged Confidence interval Logistic Models Treatment Outcome Predictive value of tests Body Composition Lean body mass Female business |
| Zdroj: | European Journal of Endocrinology. 162:869-878 |
| ISSN: | 1479-683X 0804-4643 |
| DOI: | 10.1530/eje-09-0973 |
| Popis: | ObjectiveClinical 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 methodsOne 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 ResultsIn 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%.ConclusionAccurate 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. |
| Databáze: | OpenAIRE |
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