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Title |
Study of thyroid profile and their correlation with qSOFA scoring in critically ill patients
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Authors |
Ayush Sharma, Bimal K. Agrawal*, Manu Mathew, Ashwini Chauhan & Varun Bhutani |
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Affiliation |
Department of General Medicine, M.M. Institute of Medical Sciences and Research, Mullana, Ambala, Haryana, India; *Corresponding author
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Ayush Sharma - E-mail: ayushsharma.zeus@gmail.com; Phone: +91 9759281473 Bimal K. Agrawal - E-mail: bkagrawal@mmumullana.org; Phone: +91 8059931341 Manu Mathew - E-mail: 113@live.in; Phone: +91 9895814713 Ashwini Chauhan - E-mail: ashwinichauhanmbbs@gmail.com; Phone: +91 7495036077 Varun Bhutani - E-mail:varunbhutani123@gmail.com; Phone: +91 7353196483
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Article Type |
Research Article
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Date |
Received July 1, 2026; Revised July 31, 2026; Accepted July 31, 2026, Published July 31, 2026
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Abstract |
Changes in thyroid hormones in people with severe disease conditions are a frequent occurrence. A person's organ function or rate of failure can be tracked and determined using their Sequential Organ Failure Assessment (SOFA) score. Therefore, it is of interest to evaluate the individual and combined efficacy of TFT, routine biochemical indicators and SOFA scores in predicting mortality in a sample of 150 patients hospitalized to the intensive care unit (ICU) within 48 hours of admission. This cohort had a 41.3% overall mortality rate, qSOFA score strongly correlated with mortality. Mortality rates gradually climbed with higher scores 3.4% for score 1, 57.1% for score 2 and 94.7% for score 3 (p<0.001). Thus, data shows the thyroid function tests may be a straightforward and useful supplement for early prognostication and risk stratification in the intensive care unit (ICU) when combined with qSOFA.
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Keywords |
Euthyroid sick syndromes, sequential organ failure assessment, intensive care units (ICUs), mortality, non-thyroid illness syndrome (NTIS), quick sequential organ failure assessment (qSOFA) score, ICU mortality, thyroid function test, sepsis, critical illness, free T3 (FT3)
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Citation |
Sharma et al. Bioinformation 22(7): 3988-3991 (2026)
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Edited by |
Rashmi Laddha
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ISSN |
0973-2063
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Publisher |
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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.
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