PloS one, 2018-12, Vol.13 (12), p.e0208362-e0208362
2018
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Details
- Autor(en) / Beteiligte
- Titel
- Optimisation of children z-score calculation based on new statistical techniques
- Ist Teil von
- PloS one, 2018-12, Vol.13 (12), p.e0208362-e0208362
- Ort / Verlag
- United States: Public Library of Science
- Erscheinungsjahr
- 2018
- Quelle
- Free E-Journal (出版社公開部分のみ）
- Beschreibungen/Notizen
- Expressing anthropometric parameters (height, weight, BMI) as z-score is a key principle in the clinical assessment of children and adolescents. The Centre for Disease Control and Prevention (CDC) growth charts and the CDC-LMS method for z-score calculation are widely used to assess growth and nutritional status, though they can be imprecise in some percentiles. To improve the accuracy of z-score calculation by revising the statistical method using the original data used to develop current z-score calculators. A Gaussian Process Regressions (GPR) was designed and internally validated. Z-scores for weight-for-age (WFA), height-for-age (HFA) and BMI-for-age (BMIFA) were compared with WHO and CDC-LMS methods in 1) standard z-score cut-off points, 2) simulated population of 3000 children and 3) real observations 212 children aged 2 to 18 yo. GPR yielded more accurate calculation of z-scores for standard cut-off points (p<<0.001) with respect to CDC-LMS and WHO approaches. WFA, HFA and BMIFA z-score calculations based on the 3 different methods using simulated and real patients, showed a large variation irrespective of gender and age. Z-scores around 0 +/- 1 showed larger variation than the values above and below +/- 2. The revised z-score calculation method was more accurate than CDC-LMS and WHO methods for standard cut-off points. On simulated and real data, GPR based calculation provides more accurate z-score determinations, and thus, a better classification of patients below and above cut-off points. Statisticians and clinicians should consider the potential benefits of updating their calculation method for an accurate z-score determination.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1932-6203eISSN: 1932-6203DOI: 10.1371/journal.pone.0208362Titel-ID: cdi_plos_journals_2159329422
- Format
- –
- Schlagworte
- Adolescents, Age, Anthropometry, Anthropometry - methods, Artificial intelligence, Biology and Life Sciences, Blood pressure, Body Height, Body mass, Body Mass Index, Body measurements, Body Weight, Calculators, Child, Child, Preschool, Children, Clinical medicine, Computer and Information Sciences, Control charts, Disease control, Female, Gaussian process, Hospitals, Humans, Hypertension, Infant, Infant, Newborn, Male, Malnutrition, Mathematical analysis, Mathematical models, Medicine and Health Sciences, Methods, Nutrition, Nutritional Status, Obesity, Patients, Pediatrics, People and Places, Physical Sciences, Population, Population (statistical), Regression Analysis, Research and Analysis Methods, Simulation, Statistical analysis, Statistical methods, Weight