| Literature DB >> 34993122 |
Attila Nemes1, Árpád Kormányos1, Nándor Gyenes1, Nóra Ambrus1, Ágnes Horváth1, Csaba Lengyel1, Zsuzsanna Valkusz1.
Abstract
Reduced secretion of one or more of the hormones normally produced by the pituitary gland is called hypopituitarism, which is a rare and frequently underdiagnosed condition. Hypopituitarism can be present at birth called congenital or may develop due to acquired causes like tumor, infection, infiltration, vascular or other causes. Symptoms of hypopituitarism are highly dependent on which hormones are insufficient. The present prospective study was designed to test whether treated hypopituitarism is associated with changes in 3DSTE-derived LV strains in patients without known cardiovascular disorder. We investigated 38 patients with treated hypopituitarism who were in sinus rhythm (57.0±13.6 years, 19 males), 6 patients were excluded from the study due to inferior image quality. The remaining patient group consisted of 16 patients with congenital hypopituitarism and 16 patients with acquired form of hypopituitarism. Their results were compared to age- and gender-matched controls (mean age: 55.3±4.7 years, 14 males). Out of the 32 patients with hypopituitarism, 30 patients had growth hormone deficiency, 27 patients had central adrenal insufficiency, 12 patients had central hypothyroidism, 12 patients had hypogonadotropic hypogonadism and 5 patients had diabetes insipidus. Only LV longitudinal and area strains proved to be significantly increased in patients with hypopituitarism, other LV strains did not differ between patients and controls. No significant differences could be confirmed in LV strains between patients with congenital and acquired hypopituitarism. It could be concluded that longitudinal LV strains are increased in both congenital and acquired treated hypopituitarism. 2022 Quantitative Imaging in Medicine and Surgery. All rights reserved.Entities:
Keywords: Left ventricular strain; echocardiography; hypopituitarism; three-dimensional
Year: 2022 PMID: 34993122 PMCID: PMC8666739 DOI: 10.21037/qims-21-113
Source DB: PubMed Journal: Quant Imaging Med Surg ISSN: 2223-4306