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Title

Low T3 syndrome and short-term outcomes in patients with acute decompensated heart failure: A retrospective observational study

 

Authors

Noorussaba Arfeen*, Devendra Kumar Sinha & Kaushal Kishore

 

Affiliation

Department of General Medicine, Patna Medical College and Hospital (PMCH), Patna, Bihar, India; *Corresponding author

 

Email

Noorussaba Arfeen - E-mail: arfeennoor@gmail.com; Phone: +91 8084509293

Devendra Kumar Sinha - E-mail: devkrsinha48@gmail.com; Phone: +91 8294029777

Kaushal Kishore - E-mail: kaushalkishore327@gmail.com; Phone: +91 9835405667

 

Article Type

Research Article

 

Date

Received April 1, 2026; Revised April 30, 2026; Accepted April 30, 2026, Published April 30, 2026

 

Abstract

Acute decompensated heart failure (ADHF) drives frequent hospitalizations with high short-term morbidity/mortality, yet low triiodothyronine (T3) syndrome characterized by unexplained low serum free T3 remains understudied as a prognostic marker in resource-limited ADHF settings. Therefore, it is of interest to assess the prevalence of low T3 and its association with in-hospital mortality, length of stay and 30-day readmission in 115 ADHF patients. Low T3 syndrome affected 40.9% (47/115) of patients, who exhibited higher in-hospital mortality (25.5% versus 7.4%, p=0.006), longer stays (9.8±3.6 versus 6.9±2.4 days) and greater 30-day readmissions (34.3% versus 15.9%) than normal T3 controls. Multivariate analysis confirmed that low T3 was an independent predictor of mortality (adjusted OR 3.42, 95% CI 1.28–9.15, p=0.014) after adjusting for age, ejection fraction and creatinine. Thus, we show low T3 syndrome as a prevalent, actionable prognostic biomarker for risk stratification and targeted intervention in resource constrained ADHF management.

 

Keywords

Low triiodothyronine (T3) syndrome, acute decompensated heart failure (ADHF), short-term outcomes, in-hospital mortality, euthyroid sick syndrome

 

Citation

Arfeen et al. Bioinformation 22(4): 2112-2117 (2026)

 

Edited by

Vini Mehta

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.