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The effect of cardiac catheterization on thyroid functions in infants with congenital heart diseases: a prospective observational study.

Eur J Pediatr

January 2025

Pediatric Endocrinology and Diabetes Unit, Department of Pediatrics, Mansoura Faculty of Medicine, Mansoura University Children's Hospital, Mansoura University, Gomhoria Street, Mansoura, 35516, Dakhlia, Egypt.

Unlabelled: This study aims to determine the incidence, clinical course, and risk factors of hypothyroidism following cardiac catheter (CC) in infants with congenital heart diseases (CHD). This prospective study involved 115 patients with CHD, all aged 3 years or younger, who underwent CC, as well as 100 healthy age- and sex-matched controls. Baseline thyroid function tests (TFTs) were conducted for both the patients and controls.

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Little is known about the impact of environmental pollution on thyroid function in the non-occupationally exposed population of Kazakhstan. This study aimed to investigate serum levels of thyroxine (T4), thyroid-stimulating hormone (TSH), and anti-thyroid peroxidase (TPO) antibodies in the environmentally exposed population of Kazakhstan in relation to symptoms of anxiety. A total of 1,388 nominally healthy individuals residing in areas exposed to three major types of environmental pollution prevalent in Kazakhstan-non-ferrous metallurgy, condensate gas extraction, and activities of the Semipalatinsk Nuclear Test Site (SNTS)-were enrolled.

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The primary objective of this study was to examine neurological disorders and cognitive impairments in patients with secondary hypothyroidism and epilepsy undergoing treatment with antiepileptic medications. The study included 184 patients divided into three groups: Group 1 (subclinical hypothyroidism, n = 60), Group 2 (manifest hypothyroidism, n = 64), and Group 3 (control, n = 60). Patients in Group 2 received levothyroxine therapy (initial dose of 25 μg/day, titrated to 50-100 μg/day), while Groups 1 and 2 were treated with anti-seizure medications (valproic acid, 40 mg/kg/day).

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: The prevalence of diabetes is increasing worldwide, particularly in the Pacific Ocean island nations. Although machine learning (ML) models and data mining approaches have been applied to diabetes research, there was no study utilizing ML models to predict diabetes incidence in Taiwan. We aimed to predict the onset of diabetes in order to raise health awareness, thereby promoting any necessary lifestyle modifications and help mitigate disease burden.

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