Dataset Information

Predicting pediatric age-matched weight and body mass index.

ABSTRACT: The empirical scaling from adult to pediatric using allometric size adjustments based on body weight continued to be the mainstream method for pediatric dose selection. Due to the flexibility of a polynomial function to conform to the data trend, an empirical function for simulating age-matched weight and body mass index by gender in the pediatric population is developed by using a polynomial function and a constant coefficient to describe the interindividual variability in weight. A polynomial of up to fifth order sufficiently described the pediatric data from the Center for Disease Control (CDC) and the World Health Organization (WHO). The coefficients of variation to describe the variability were within 17%. The percentages of the CDC simulated weights for pediatrics between 0 and 5 years that fell outside the WHO 90% and 95% confidence boundaries were well within the expected percentage values, indicating that the CDC dataset can be used to substitute for the WHO dataset for the purpose of pediatric drug development. To illustrate the utility of this empirical function, the CDC-based age-matched weights were simulated and were used in the prediction of the concentration-time profiles of tenofovir in children based on a population pharmacokinetic model whose parameters were allometrically scaled. We have shown that the resulting 95% prediction interval of tenofovir in newborn to 5 years of age was almost identical whether the weights were simulated based on WHO or CDC dataset. The approach is simple and is broadly applicable in adjusting for pediatric dosages using allometry.

SUBMITTER: Sy SK

PROVIDER: S-EPMC4389747 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature

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Predicting pediatric age-matched weight and body mass index.

Sy Sherwin K B SK Asin-Prieto Eduardo E Derendorf Hartmut H Samara Emil E

The AAPS journal 20140826 6

The empirical scaling from adult to pediatric using allometric size adjustments based on body weight continued to be the mainstream method for pediatric dose selection. Due to the flexibility of a polynomial function to conform to the data trend, an empirical function for simulating age-matched weight and body mass index by gender in the pediatric population is developed by using a polynomial function and a constant coefficient to describe the interindividual variability in weight. A polynomial ...[more]

PMID: 25155824

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Project description:ObjectiveOverweight and obese women may avoid contraceptive methods they believe are associated with weight gain. The objective of this study was to examine the role of weight and weight perception on contraceptive use.Study designUsing cross-sectional data from the MyNewOptions study, we analyzed contraceptive use among 987 privately insured, sexually active women aged 18-40 years. Contraception was categorized into three groups: (1) long-acting reversible contraceptives (LARCs), (2) non-LARC prescription methods and (3) nonprescription methods/no method. Multinomial logistic regression was used to model the effect of body mass index category and weight perception on contraceptive use while controlling for pregnancy intentions, sexual behavior and sociodemographic characteristics.ResultsEighty-three (8.4%) women were using LARCs, 490 (49.6%) women were using non-LARC prescription methods and 414 (42.0%) were using nonprescription methods or no method. In the adjusted multinomial model, overweight [adjusted odds ratio (aOR) 3.84, 95% confidence interval (CI) 1.85-7.98) and obese women (aOR 2.82, 95% CI 1.18-6.72) were significantly more likely to use LARCs compared to normal-weight women. There were greater adjusted odds of overweight and obese women using nonprescription methods/no method compared with non-LARC prescription methods, but this finding did not reach statistical significance. Weight perception was not associated with contraceptive use.ConclusionIn this study sample, overweight and obese women were more likely to use LARCs than normal-weight women. It will be important to further understand how weight influences women and providers' views on contraception in order to better assist women with individualized, patient-centered contraceptive decision making.ImplicationsOverweight and obese women may be reluctant to use contraceptive methods they believe are associated with weight gain (i.e., pills, shot), but how that affects contraceptive use is unclear. Compared with normal-weight women, overweight and obese women in this study were more likely to use LARCs than non-LARC prescription methods.

Dataset Information

Predicting pediatric age-matched weight and body mass index.

Publications

Predicting pediatric age-matched weight and body mass index.

Similar Datasets

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