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Erschienen in: Pituitary 4/2016

15.04.2016

IGF-I levels reflect hypopituitarism severity in adults with pituitary dysfunction

verfasst von: Amit Tirosh, Yoel Toledano, Hiba Masri-Iraqi, Yoav Eizenberg, Gloria Tzvetov, Dania Hirsch, Carlos Benbassat, Eyal Robenshtok, Ilan Shimon

Erschienen in: Pituitary | Ausgabe 4/2016

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Abstract

Purpose

To evaluate the utility of Insulin-like growth factor I (IGF-I) standard deviation score (SDS) as a surrogate marker of severity of hypopituitarism in adults with pituitary pathology.

Methods

We performed a retrospective data analysis, including 269 consecutive patients with pituitary disease attending a tertiary endocrine clinic in 1990–2015. The medical files were reviewed for the complete pituitary hormone profile, including IGF-I, and clinical data. Age-adjusted assay reference ranges of IGF-I were used to calculate IGF-I SDS for each patient. The main outcome measures were positive and negative predictive values of low and high IGF-I SDS, respectively, for the various pituitary hormone deficiencies.

Results

IGF-I SDS correlated negatively with the number of altered pituitary axes (p < 0.001). Gonadotropin was affected in 76.6 % of cases, followed by thyrotropin (58.4 %), corticotropin (49.1 %), and prolactin (22.7 %). Positive and negative predictive values yielded a clear trend for the probability of low/high IGF-I SDS for all affected pituitary axes. Rates of diabetes insipidus correlated with IGF-I SDS values both for the full study population, and specifically for patients with non-functioning pituitary adenomas.

Conclusions

IGF-I SDS can be used to evaluate the somatotroph function, as a valid substitute to absolute IGF-I levels. Moreover, IGF-I SDS predicted the extent of hypopituitarism in adults with pituitary disease, and thus can serve as a marker of hypopituitarism severity.
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Metadaten
Titel
IGF-I levels reflect hypopituitarism severity in adults with pituitary dysfunction
verfasst von
Amit Tirosh
Yoel Toledano
Hiba Masri-Iraqi
Yoav Eizenberg
Gloria Tzvetov
Dania Hirsch
Carlos Benbassat
Eyal Robenshtok
Ilan Shimon
Publikationsdatum
15.04.2016
Verlag
Springer US
Erschienen in
Pituitary / Ausgabe 4/2016
Print ISSN: 1386-341X
Elektronische ISSN: 1573-7403
DOI
https://doi.org/10.1007/s11102-016-0718-1

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