title: Thyroid hormone levels improve the prediction of mortality among patients admitted to the intensive care unit.
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.
  
  
  METHODS
  Intensive care units in three hospitals.
  
  
  METHODS
  113 patients admitted to.
  
  
  METHODS
  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.
authors: Department of Medicine, , John Stroger Jr. Hospital of Cook County, Rush Medical College, 1900 West Polk Street, Chicago, IL 60612, USA. erick_cpe@yahoo.com
authors: Erick
authors: E
authors: Chinga-Alayo
authors: Jaime
authors: J
authors: Villena
authors: Arthur T
authors: AT
authors: Evans
authors: Mirko
authors: M
authors: Zimic
mesh_terms: D018806:APACHE; D005260:Female; D017052:Hospital Mortality; D006801:Humans; D007362:Intensive Care Units; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D012372:ROC Curve; D016019:Survival Analysis; D013963:Thyroid Hormones / Q000097:blood*
chemical_list: D013963:Thyroid Hormones