A mathematical model describing catch-up growth in celiac disease. 1994

B Boersma, and H J Wynne, and J M Wit
Department of Pediatrics, University Hospital Leiden, The Netherlands.

Celiac disease may lead to various degrees of growth retardation. In general, catch-up growth is completed in the first 2 years after the start of therapy. A mathematical model for catch-up growth in celiac disease can be useful as a reference to which the growth pattern observed during treatment of other conditions can be compared. In this study we performed a non-linear regression analysis on individual growth data of 16 celiac disease patients using a monomolecular growth function. The goodness of fit was significant in all cases (p < 0.05), which illustrates that this function adequately describes catch-up growth in individuals with celiac disease. From the individual models we have composed a cross-sectional curve and a longitudinal description of the pattern of catch-up growth for the entire population.

UI MeSH Term Description Entries
D008954 Models, Biological Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment. Biological Model,Biological Models,Model, Biological,Models, Biologic,Biologic Model,Biologic Models,Model, Biologic
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D002446 Celiac Disease A malabsorption syndrome that is precipitated by the ingestion of foods containing GLUTEN, such as wheat, rye, and barley. It is characterized by INFLAMMATION of the SMALL INTESTINE, loss of MICROVILLI structure, failed INTESTINAL ABSORPTION, and MALNUTRITION. Gluten Enteropathy,Sprue, Celiac,Sprue, Nontropical,Celiac Sprue,Gluten-Sensitive Enteropathy,Sprue,Disease, Celiac,Enteropathies, Gluten,Enteropathies, Gluten-Sensitive,Enteropathy, Gluten,Enteropathy, Gluten-Sensitive,Gluten Enteropathies,Gluten Sensitive Enteropathy,Gluten-Sensitive Enteropathies,Nontropical Sprue
D002648 Child A person 6 to 12 years of age. An individual 2 to 5 years old is CHILD, PRESCHOOL. Children
D006128 Growth Gradual increase in the number, the size, and the complexity of cells of an individual. Growth generally results in increase in ORGAN WEIGHT; BODY WEIGHT; and BODY HEIGHT.
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man

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