SAT-391 Thyroid Adaptive Response to COVID-19 Disease Severity as Evidenced Through Routine Biomarkers
Notice bibliographique
Résumé
Abstract Disclosure: A. Aimaganova: None. N. Khovanova: None. E. Braybrook: None. D. Grammatopoulos: None. Thyroid dysfunction appears to be a common endocrinopathy in hospitalized COVID-19 patients. The most common pattern of deranged thyroid function tests (TFTs) reported is reminiscent of non-thyroidal illness (NTIS) or sick-euthyroid syndrome. NTIS is often observed in the critical care unit (CCU) setting, with a clear correlation to poor outcomes. The interdependence between the thyroid and immune system although recognized, is not fully understood. Decoding associations between biomarkers of inflammation and thyroid hormones in the context of disease severity may help to elucidate the adaptive mechanisms of the pituitary-thyroid (PT) axis and identify patterns of severity-specific thyroid dysfunction. In this single-center retrospective observational study, routine biomarker data incorporating TFTs were obtained from COVID patients, hospitalized between April 2020 and September 2022. Patients were classified as having severe COVID disease based on admission to CCU or general ward. Statistical tests based on the distribution of biomarkers were used to examine differences, Spearman rank correlations evaluated the strength of the associations, and correlation-based biomarker networks were developed. 237 data sets from 184 patients were extracted. 59% of data were from patients in CCU and 41% from wards. The mean age was 57 and 63 years respectively. Spearman correlations identified a negative relationship between markers of inflammation, red blood cell (RBC) parameters and iron metabolism, and a positive association between thyroid function, RBC parameters and iron metabolism. A deduced network, built around the correlation of TFTs, exhibited severity-specific characteristics. 11 biomarkers exhibited significant group-specific differences, including free triiodothyronine (fT3) and free thyroxine (fT4). An increased number of patients with fT3 below the reference range, in the context of normal TSH and fT4, were observed in those with severe disease. Correlations between components of the PT axis identified a unique interleukin-6 (IL-6) dependent enhancement of correlations between TSH and fT3 or fT3 to fT4 ratio, present mainly in CCU patients. Routine biomarkers have allowed the investigation of thyroid function dynamics and responses to disease signals, which can arise from distinct pathogenic patterns such as hyperinflammation. In place of singular correlation, we explored patterns of biomarker network correlations, which can provide unique information about an organism’s systemic responses. An increased number of correlations in CCU patients suggests activation of coordinated responses associated with enhanced disease severity. Our study has uncovered important differences in biomarker networks and thyroid hormone adaptive responses orchestrated by inflammatory signals such as IL-6, especially in critically ill patients. Presentation: Saturday, July 12, 2025
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
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