Literature DB >> 11084726

[Model program for the early detection and optimal treatment of disorders of growth and physical development using a medical competence netwok].

E Keller1, J Burmeister, R Gausche, A Keller, M Hermanussen, W Kiess.   

Abstract

The growth and development of a child is a mirror of his living conditions and health. For decades pediatricians have been trying to achieve an earlier identification of children with growth disorders. The measures of prevention in Germany have not been successful so far. Diagnosis for example of GH-deficiency to ensure optimal substitution with growth hormone is usually not early enough. A screening system using an auxological data bank for growth disorders has been set up by us recently. Since 1998 we have collected height and weight measurements in relation to age and sex from patients cared for by a large number of pediatricians in the region of Leipzig, Germany. By september 1999, 30,182 children of different ages have been screened. The system identifies children with short stature below the 3. centile and tall stature above the 97. centile of the German Synthetic Normcurve (Hermanussen/Burmeister 1999). In 6.81% of the children a growth disorder was identified (3.03% above 97. and 3.78% below 3. centile). In 54 cases (0.18%) we found a pathological reason for short or tall stature. A sensitive screening system has been set up for the early detection of growth disorders and obesity in childhood. We generate a data pool for multiple questions in research of human growth. We will generate yearly reports for the development of new strategies in preventive medicine.

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Year:  2000        PMID: 11084726

Source DB:  PubMed          Journal:  Z Arztl Fortbild Qualitatssich        ISSN: 1431-7621


  1 in total

1.  Early detection of growth disorders with the CrescNet system at the Leipzig treatment center.

Authors:  Wolfgang Hoepffner; Roland Pfäffle; Ruth Gausche; Christof Meigen; Eberhard Keller
Journal:  Dtsch Arztebl Int       Date:  2011-02-25       Impact factor: 5.594

  1 in total

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