11 research outputs found

    Models predicting the growth response to growth hormone treatment in short children independent of GH status, birth size and gestational age

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    <p>Abstract</p> <p>Background</p> <p>Mathematical models can be used to predict individual growth responses to growth hormone (GH) therapy. The aim of this study was to construct and validate high-precision models to predict the growth response to GH treatment of short children, independent of their GH status, birth size and gestational age. As the GH doses are included, these models can be used to individualize treatment.</p> <p>Methods</p> <p>Growth data from 415 short prepubertal children were used to construct models for predicting the growth response during the first years of GH therapy. The performance of the models was validated with data from a separate cohort of 112 children using the same inclusion criteria.</p> <p>Results</p> <p>Using only auxological data, the model had a standard error of the residuals (SD<sub>res</sub>), of 0.23 SDS. The model was improved when endocrine data (GH<sub>max </sub>profile, IGF-I and leptin) collected before starting GH treatment were included. Inclusion of these data resulted in a decrease of the SD<sub>res </sub>to 0.15 SDS (corresponding to 1.1 cm in a 3-year-old child and 1.6 cm in a 7-year old). Validation of these models with a separate cohort, showed similar SD<sub>res </sub>for both types of models. Preterm children were not included in the Model group, but predictions for this group were within the expected range.</p> <p>Conclusion</p> <p>These prediction models can with high accuracy be used to identify short children who will benefit from GH treatment. They are clinically useful as they are constructed using data from short children with a broad range of GH secretory status, birth size and gestational age.</p

    The impact of APOE on myocardial infarction, stroke, and dementia - The Rotterdam Study

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    It is unclear how the APOE genotype contributes to the incidence of vascular diseases and dementia. In a population-based sample (n=6,852) with complete follow-up, APOE was weakly associated with myocardial infarction and not related with stroke. In the absence of epsilon4, the incidence of dementia would be 25.8% lower; in the absence of epsilon2/epsilon3, 2.8% higher. Risk estimates of dementia, specified for age, sex, and APOE, are provided for counseling. APOE is not strongly related to vascular diseases, but contributes substantially to dementia incidence

    Diagnosis of growth hormone (GH) deficiency: comparison of pituitary stalk interruption syndrome and transient GH deficiency

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    <p>Abstract</p> <p>Background</p> <p>Most patients with childhood non-organic growth hormone (GH) deficiency (GHD) produce a normal GH peak as young adults. Our objectives were to better define this transient GHD and evaluate the factors influencing the growth response of patients with pituitary stalk interruption syndrome (PSIS).</p> <p>Methods</p> <p>We studied 72 prepubertal patients with a GH peak < 6.7 ng/ml after 2 stimulation tests, treated with 0.2 mg GH/kg/w for at least 3 years. Group 1 (n = 53, 4.7 ± 4.0 years) had PSIS and Group 2 (n = 19, 9.2 ± 3.0 years) had transient GHD and normal pituitary.</p> <p>Results</p> <p>At diagnosis, 64% of Group 1 and one Group 2 were < 5 years old. The growth rate of 59% Group 1 and two Group 2 patients was ≤ -2 SDS. The GH peak of 64% Group 1 patients and no Group 2 patients was < 3 ng/ml. The plasma insulin-like growth factor-1 of all Group 1 and all but one Group 2 patients was ≤ -2 z scores.</p> <p>During the first year of GH treatment, the growth rate was ≥ 2 SDS in 81% Group 1 and 37% Group 2 patients. In Group 1, it was negatively correlated with the GH peak before treatment (P < 0.03), and with the difference between the target and adult heights (P < 0.01).</p> <p>The height gain SDSs between diagnosis and adult height were 1.7 ± 1.2 in Group 1 (n = 30) and 1.08 ± 0.8 in Group 2 (n = 12, P = 0.05).</p> <p>Conclusion</p> <p>The factors of the growth response to GH treatment should be analysed separately for each population: with and without PSIS or other markers.</p

    Mathematical and computational modeling in biology at multiple scales

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