This study aimed to investigate the association between thyroid diseases and chronic sinusitis (CRS) in a matched cohort in a study conducted within the Korean National Health Insurance Service-Health Screening Cohort (2002−2015). A total of 6024 patients with CRS were 1:4-matched for age, sex, household income, and region of residence with 24,096 control participants. Effects of a previous history of thyroid disease, including hypothyroidism, hyperthyroidism, thyroiditis, autoimmune thyroiditis, and Graves’ disease, were investigated using conditional logistic regression. Subgroup analyses were performed in regard to the presence of nasal polyposis. A history of hypothyroidism (2.8% vs. 1.8%), hyperthyroidism (2.0% vs. 1.5%), thyroiditis (1.1% vs. 0.8%), autoimmune thyroiditis (0.4% vs. 0.3%), and Graves’ disease (0.3% vs. 0.2%) was not more prevalent in the CRS group than in the control group according to univariate analysis (all p > 0.05). Hypothyroidism was associated with CRS in the multivariate-adjusted model (odds ratio [OR] 1.25, 95% confidence interval [CI] 1.00−1.57). In the subgroup analyses, thyroid diseases were not statistically significantly associated with CRS after being classified according to the presence or absence of nasal polyps. Additional studies are required to elucidate the relationship between thyroid diseases and CRS, as this may aid in screening and clinical decision making.
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http://dx.doi.org/10.3390/ijerph19148372 | DOI Listing |
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.
Acta Med Indones
October 2024
Akdeniz University, Faculty of Medicine, Department of General Surgery, 07070, Antalya, Turkey.
A 36-year-old woman with a history of neck swelling was diagnosed with papillary thyroid carcinoma, a common but typically slow-growing thyroid cancer with a good prognosis. Despite frequent lymph node metastasis, mortality rates are low. This cancer can rarely spread to unusual areas like the axillary region.
View Article and Find Full Text PDFActa Med Indones
October 2024
Residency Program in Ophthalmology, Faculty of Medicine Universitas Indonesia - Dr. Cipto Mangunkusumo Hospital, Jakarta, Indonesia.
Background: Graves' ophthalmopathy (GO) ocular abnormalities can persist even after treatment, negatively impacting patients' psychological and social health. The Indonesian Graves' Ophthalmopathy Quality of Life (GO-QoL) Questionnaire has not been validated, hence it cannot measure patient quality of life, which is crucial to GO treatment. We aimed to provide a reliable Indonesian GO-QoL Questionnaire and identify an association between patient quality of life and clinical activity and the severity of GO.
View Article and Find Full Text PDFActa Med Indones
October 2024
School of Medicine and Health Sciences Atma Jaya Catholic University of Indonesia - St Carolus Hospital, Jakarta, Indonesia.
Numerous thyroid diseases can impact patients' lives, one of which is Graves' ophthalmopathy (GO). Graves' ophthalmopathy is a progressive thyroid-related disease that causes eye symptoms due to an autoimmune reaction targeting thyrotropin/thyroid stimulating hormone (TSH) receptors in the orbital space. This condition can be easily recognized by the patient, including exophthalmos, pain, swelling, double vision, and impaired vision.
View Article and Find Full Text PDFJMIR Med Inform
January 2025
Department of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China.
Background: Postpartum depression (PPD) is a prevalent mental health issue with significant impacts on mothers and families. Exploring reliable predictors is crucial for the early and accurate prediction of PPD, which remains challenging.
Objective: This study aimed to comprehensively collect variables from multiple aspects, develop and validate machine learning models to achieve precise prediction of PPD, and interpret the model to reveal clinical implications.
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