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Intensive Care Medicine
Published in: Intensive Care Medicine 10/2005

01-10-2005 | Original

Thyroid hormone levels improve the prediction of mortality among patients admitted to the intensive care unit.

Authors: Erick Chinga-Alayo, Jaime Villena, Arthur T. Evans, Mirko Zimic

Published in: Intensive Care Medicine | Issue 10/2005

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Abstract

Objective

As hormones are strongly associated with mortality in critically ill patients, we investigated whether mortality prediction based on the Acute Physiology and Chronic Health Evaluation (APACHE) is improved by combining this score with hormone measurements.

Design and setting

Intensive care units in three hospitals

Patients and participants

113 patients admitted to.

Measurements

Within the first hour after ICU admission we measured total triiodothyronine, total thyroxine, free thyroxine, thyrotropin, cortisol, growth hormone, dehydroepiandrosterone, and prolactin levels and administered the APACHE. Patients were followed until they died or were discharged from the ICU.

Results

The best logistic regression model for ICU mortality included the APACHE score and thyroid-stimulating hormone and triiodothyronine levels. This model had an area under the receiver operating characteristic curve of 0.88, significantly higher than the APACHE score alone with 0.75. The model with hormone levels and APACHE score was also significantly better calibrated than the model with only the APACHE score.

Conclusions

The addition of thyroid hormones to the APACHE score improves the prediction of mortality for ICU patients
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Metadata
Title
Thyroid hormone levels improve the prediction of mortality among patients admitted to the intensive care unit.
Authors
Erick Chinga-Alayo
Jaime Villena
Arthur T. Evans
Mirko Zimic
Publication date
01-10-2005
Publisher
Springer-Verlag
Published in
Intensive Care Medicine / Issue 10/2005
Print ISSN: 0342-4642
Electronic ISSN: 1432-1238
DOI
https://doi.org/10.1007/s00134-005-2719-9

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