Literature DB >> 35072432

Early procalcitonin to predict mortality in critically ill COVID-19 patients: a multicentric cohort study.

Luigi Zattera1,2, Ioannis Veliziotis3, Adela Benitez-Cano4, Isabel Ramos4, Leire Larrañaga4, Maria Nuñez4, Lorena Román4, Irina Adalid4, Carlos Ferrando5,6, Guido Muñoz5, Egoitz Arruti7, Andrea Minini3, Eva Bassas8, Maria Hernández9, Fabio S Taccone3, Lorenzo Peluso3, Ramon Adalia4.   

Abstract

BACKGROUND: High levels of procalcitonin (PCT) have been associated with a higher risk of mortality in COVID-19 patients. We explored the prognostic role of early PCT assessment in critically ill COVID-19 patients and whether PCT predictive performance would be influenced by immunosuppression.
METHODS: Retrospective multicentric analysis of prospective collected data in COVID-19 patients consecutively admitted to 36 intensive care units (ICUs) in Spain and Andorra from March to June 2020. Adult (>18 years) patients with confirmed COVID-19 and available PCT values (<72 hours from ICU admission) were included. Patients were considered as "no immunosuppression" (NI), "chronic immunosuppression" (CI) and "acute immunosuppression" (AIT if only tocilizumab; AIS if only steroids, AITS if both). The primary outcome was the ability of PCT to predict ICU mortality.
RESULTS: Of the 1079 eligible patients, 777 patients were included in the analysis. Mortality occurred in 227 (28%) patients. In the NI group 144 (19%) patients were included, 67 (9%) in the CI group, 66 (8%) in the AIT group, 262 (34%) in the AIS group and 238 (31%) in the AITS group; PCT was significantly higher in non-survivors when compared with survivors (0.64 [0.17-1.44] vs. 0.23 [0.11-0.60] ng/mL; P<0.01); however, in the multivariable analysis, PCT values was not independently associated with ICU mortality. PCT values and ICU mortality were significantly higher in patients in the NI and CI groups.
CONCLUSIONS: PCT values are not independent predictors of ICU mortality in COVID-19 patients. Acute immunosuppression significantly reduced PCT values, although not influencing its predictive value.

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Year:  2022        PMID: 35072432     DOI: 10.23736/S0375-9393.22.15942-0

Source DB:  PubMed          Journal:  Minerva Anestesiol        ISSN: 0375-9393            Impact factor:   3.051


  1 in total

Review 1.  Antimicrobial Stewardship Using Biomarkers: Accumulating Evidence for the Critically Ill.

Authors:  Evdoxia Kyriazopoulou; Evangelos J Giamarellos-Bourboulis
Journal:  Antibiotics (Basel)       Date:  2022-03-09
  1 in total

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