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Early effects of LT3 + LT4 combination therapy on quality of life in hypothyroid patients: a randomized, double-blind, parallel-group comparison trial.
BMC Endocr Disord
January 2025
Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
Background: This study aimed to evaluate the impact of combined levothyroxine (LT4) and triiodothyronine (LT3) therapy on quality of life in patients with primary hypothyroidism.
Methods: In a randomized, double-blind, parallel-group trial, 151 Iranian patients diagnosed with primary hypothyroidism between 2020 and 2021 were enrolled. One group received LT4 alone (n = 80), while the other received LT4 and LT3 (n = 71) for a minimum of six months.
Relationship of Thyroid Volume and Function with Carotid and Femoral Intima-Media Thickness in Euthyroid People Aged 18-65 Taking into Account the Impact of Diabetes, Hypertension, and Excess Body Mass.
J Clin Med
January 2025
Department of Internal Medicine, Angiology, and Physical Medicine, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Batorego 15 St., 41-902 Bytom, Poland.
The interrelationship of thyroid volume and function with features of cardiovascular dysfunction has already been investigated but some aspects remain unclear, especially in terms of subclinical cardiovascular dysfunction in euthyroid patients. Intima-media thickness (IMT) measurement in ultrasound B-mode imaging in different vascular beds (most frequently within the common carotid artery) is one of the most important tools for the detection of subclinical atherosclerosis in both clinical practice and research. This article aimed to present the results of our research on the association between the thyroid evaluation parameters and the IMT measured in both the carotid and femoral arteries in euthyroid patients aged 18 to 65 years taking into account the influence of diabetes, hypertension, and excess body mass.
View Article and Find Full Text PDFExposome-Wide Association Study of Thyroid Function Using U.S. National Health and Nutrition Examination Survey Data.
Environ Res
January 2025
Department of Environmental Science, Baylor University, Waco, TX, USA.
Previous epidemiologic studies examining thyroid function and chemical exposures have typically focused on a single or a limited number of chemical classes, often neglecting the effects of chemical mixtures. This study addressed this gap by exploring the associations between exposure to hundreds of chemicals and thyroid function using an exposome-wide association study (ExWAS) approach and National Health and Nutrition Examination Survey (NHANES) data. We analyzed data from three NHANES cycles (2007-2008, 2009-2010, 2011-2012), which include measures of thyroid function (free and total triiodothyronine [T3], free and total thyroxine [T4], thyroid-stimulating hormone [TSH]) and chemical biomarker concentrations from 9,082 participants.
View Article and Find Full Text PDFLittle 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.
View Article and Find Full Text PDFUse of Machine Learning to Predict the Incidence of Type 2 Diabetes Among Relatively Healthy Adults: A 10-Year Longitudinal Study in Taiwan.
Diagnostics (Basel)
December 2024
Department of Family Medicine, Taichung Veterans General Hospital, Taichung 407219, Taiwan.
: 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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