Sex-Specific Associations between Thyroid Status, Inflammation and Hemostasis Biomarkers in Patients with Subacute Thyroiditis.
Jelena VekicAleksandra KlisicJelena Kotur-StevuljevicNeda MilinkovicGluscevic SanjaSerpil CiftelFiliz MercantepePublished in: Biomedicines (2024)
Background : Subacute thyroiditis (SAT) is characterized by profound inflammation and fluctuations in thyroid hormones which may affect the hemostasis balance. This study investigates sex-specific associations between thyroid status, inflammation and hemostasis biomarkers in SAT. Methods : We included 52 patients (40 women and 12 men) treated with non-steroidal anti-inflammatory drugs (NSAID) or methylprednisolone (MPS). Free thyroxine (fT4), thyroid stimulating hormone, C-reactive protein, complete blood count and routine hemostasis parameters were assessed. Results : Both men and women were in hyperthyroid state and had comparable levels of inflammatory biomarkers. A shortened activated partial thromboplastin time (aPTT) was observed in 16.7% of the men and 10% of the women ( p = 0.562), and a shortened prothrombin time (PT) was observed in 33% of the men and 12.5% of the women ( p = 0.094). In men, aPTT positively correlated with fT4 (r = 0.627; p < 0.05), while PT positively correlated with leukocyte-based inflammatory indices in women ( p < 0.05). NSAID-treated patients had lower aPTTs and platelet counts than those treated with MPS ( p < 0.05). Principal component analysis extracted "proinflammatory", "prothrombotic" and "antithrombotic" factors, but the "proinflammatory" factor was the independent predictor of elevated fT4 in women (OR = 2.705; p = 0.036). Conclusions : Our data demonstrated sex-specific associations of thyroid status and inflammatory biomarkers with hemostasis parameters in SAT. Routine hemostasis screening tests may help in monitoring the changes in the hemostasis system over the course of SAT.
Keyphrases
- polycystic ovary syndrome
- oxidative stress
- newly diagnosed
- end stage renal disease
- anti inflammatory drugs
- pregnancy outcomes
- ejection fraction
- chronic kidney disease
- cervical cancer screening
- middle aged
- peritoneal dialysis
- breast cancer risk
- prognostic factors
- type diabetes
- peripheral blood
- patient reported outcomes
- skeletal muscle
- atrial fibrillation
- machine learning
- autism spectrum disorder
- artificial intelligence