Early Detection of Abnormal Growth Associated with Juvenile Acquired Hypothyroidism

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Abstract

Context: Development of the typical growth phenotype in juvenile acquired hypothyroidism (JHT), the faltering linear growth with increasing weight, has not been thoroughly characterized. Objective: To describe longitudinal growth pattern in children developing JHT and investigate how their growth differs from the general population in systematic growth monitoring. Design: Retrospective case-control study. Setting: JHT cases from 3 Finnish University Hospitals and healthy matched controls from primary health care. Patients: A total of 109 JHT patients aged 1.2 to 15.6 years (born 1983-2010) with 554 height and weight measurements obtained for 5 years preceding JHT diagnosis. Each patient was paired with 100 healthy controls (born 1983-2008) by sex and age. Longitudinal growth pattern was evaluated in mixed linear models. Growth monitoring parameters were evaluated using receiver operating characteristics analysis. Results: At diagnosis, JHT patients were heavier (mean adjusted body mass index-for-age [BMISDS] difference, 0.65 [95% CI, 0.46-0.84]) and shorter (mean adjusted height-for-age deviation from the target height [THDEVSDS] difference, -0.34 [95% CI, -0.57 to -0.10]) than healthy controls. However, 5 years before diagnosis, patients were heavier (mean BMISDS difference, 0.33 [95% CI, 0.12-0.54]) and taller (mean THDEVSDS difference, 0.29 [95% CI, 0.06-0.52]) than controls. JHT could be detected with good accuracy when several growth parameters were used simultaneously in screening (area under the curve, 0.83 [95% CI, 0.78-0.89]). Conclusions: Abnormal growth pattern of patients with JHT evolves years before diagnosis. Systematic growth monitoring would detect abnormal growth at an early phase of JHT and facilitate timely diagnosis of JHT.

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APA

Saari, A., Pokka, J., Mäkitie, O., Saha, M. T., Dunkel, L., & Sankilampi, U. (2021). Early Detection of Abnormal Growth Associated with Juvenile Acquired Hypothyroidism. Journal of Clinical Endocrinology and Metabolism, 106(2), E739–E748. https://doi.org/10.1210/clinem/dgaa869

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