Zita Tarjányi1, Gergely Montskó1, Péter Kenyeres2, Zsolt Márton2, Roland Hágendorn2, Erna Gulyás2, Orsolya Nemes2, László Bajnok2, Gábor L Kovács1, Emese Mezősi3. 1. First Department of Internal MedicineFaculty of Medicine, University of Pécs, 13 Ifjúság, Pécs H-7624, HungaryDepartment of Laboratory MedicineFaculty of MedicineSzentágothai Research CentreUniversity of Pécs, Pécs, Hungary First Department of Internal MedicineFaculty of Medicine, University of Pécs, 13 Ifjúság, Pécs H-7624, HungaryDepartment of Laboratory MedicineFaculty of MedicineSzentágothai Research CentreUniversity of Pécs, Pécs, Hungary. 2. First Department of Internal MedicineFaculty of Medicine, University of Pécs, 13 Ifjúság, Pécs H-7624, HungaryDepartment of Laboratory MedicineFaculty of MedicineSzentágothai Research CentreUniversity of Pécs, Pécs, Hungary. 3. First Department of Internal MedicineFaculty of Medicine, University of Pécs, 13 Ifjúság, Pécs H-7624, HungaryDepartment of Laboratory MedicineFaculty of MedicineSzentágothai Research CentreUniversity of Pécs, Pécs, Hungary emese.mezosi@aok.pte.hu.
Abstract
OBJECTIVE: The role of cortisol in the prediction of mortality risk in critical illness is controversial in the literature. The aim of this study was to evaluate the prognostic value of cortisol concentrations in a mixed population of critically ill patients in medical emergencies. DESIGN: In this prospective, observational study, measurement of total (TC) and free cortisol (FC) levels was made in the serum samples of 69 critically ill patients (39 males and 30 females, median age of 74 years) at admission (0 h) and 6, 24, 48, and 96 h after admission. METHODS: Cortisol levels were determined using HPLC coupled high-resolution ESI-TOF mass spectrometry. The severity of disease was calculated by prognostic scores. Statistical analyses were performed using the SPSS 22.0 software. RESULTS: The range of TC varied between 49.9 and 8797.8 nmol/l, FC between 0.4 and 759.9 nmol/l. The levels of FC at 0, 6, 24, and 48 h and TC at 0, 6 h were significantly elevated in non-survivors and correlated with the predicted mortality. The prognostic value of these cortisol levels was comparable with the routinely used mortality scores. In predictive models, FC at 6, 24, and 48 h proved to be an independent determinant of mortality. CONCLUSIONS: The predictive values of FC in the first 2 days after admission and TC within 6 h are comparable with the complex, routinely used mortality scores in evaluating the prognosis of critically ill patients. The cortisol response probably reflects the severity of disease.
OBJECTIVE: The role of cortisol in the prediction of mortality risk in critical illness is controversial in the literature. The aim of this study was to evaluate the prognostic value of cortisol concentrations in a mixed population of critically illpatients in medical emergencies. DESIGN: In this prospective, observational study, measurement of total (TC) and free cortisol (FC) levels was made in the serum samples of 69 critically illpatients (39 males and 30 females, median age of 74 years) at admission (0 h) and 6, 24, 48, and 96 h after admission. METHODS:Cortisol levels were determined using HPLC coupled high-resolution ESI-TOF mass spectrometry. The severity of disease was calculated by prognostic scores. Statistical analyses were performed using the SPSS 22.0 software. RESULTS: The range of TC varied between 49.9 and 8797.8 nmol/l, FC between 0.4 and 759.9 nmol/l. The levels of FC at 0, 6, 24, and 48 h and TC at 0, 6 h were significantly elevated in non-survivors and correlated with the predicted mortality. The prognostic value of these cortisol levels was comparable with the routinely used mortality scores. In predictive models, FC at 6, 24, and 48 h proved to be an independent determinant of mortality. CONCLUSIONS: The predictive values of FC in the first 2 days after admission and TC within 6 h are comparable with the complex, routinely used mortality scores in evaluating the prognosis of critically illpatients. The cortisol response probably reflects the severity of disease.
Authors: Djillali Annane; Stephen M Pastores; Bram Rochwerg; Wiebke Arlt; Robert A Balk; Albertus Beishuizen; Josef Briegel; Joseph Carcillo; Mirjam Christ-Crain; Mark S Cooper; Paul E Marik; Gianfranco Umberto Meduri; Keith M Olsen; Sophia Rodgers; James A Russell; Greet Van den Berghe Journal: Intensive Care Med Date: 2017-09-21 Impact factor: 17.440