Literature DB >> 32966166

Procalcitonin and secondary bacterial infections in COVID-19: association with disease severity and outcomes.

Natale Vazzana1, Francesco Dipaola1, Silvia Ognibene1.   

Abstract

INTRODUCTION: Procalcitonin (PCT) is an emerging prognostic marker in coronavirus disease 2019 (COVID-19). Whether PCT can detect secondary bacterial infections or reflect target tissue injury in this setting is still unclear. Here we performed a meta-analysis to review the prognostic value of PCT for severe disease and adverse outcome events in COVID-19.
METHODS: We searched relevant publications in online databases. Studies were included if they reported categorical data according to disease severity and/or outcomes. We analysed extracted data using fixed or random-effects meta-analysis models, as appropriate, depending on the presence of significant heterogeneity.
RESULTS: Data from 14 studies (3492 patients) were included in the analysis. Overall, 163 of 256 patients with elevated PCT had severe disease (63.7%) compared with 553 of 2047 with negative PCT (27.0%) (OR: 5.92; 95% CI: 3.20 to 10.94). Elevated PCT was also associated with adverse outcomes (OR: 13.1; 95% CI: 7.37 to 23.1). PCT was increased in 22.8% and 30.6% of patients with the severe course and adverse outcome, respectively. Rates of secondary bacterial infections ranged from 4.7% to 19.5% and were associated with increased risk of severe course or fatal outcomes (OR: 20.8; 95% CI: 11.6 to 37.4).
CONCLUSIONS: Elevated PCT levels could identify a subset of COVID-19 patients at increased risk of severe disease and adverse outcome. Its limitations include low sensitivity and undefined cost-utility ratio. Whether PCT may be used for detecting secondary bacterial infections and guiding antibiotic therapy in COVID-19 is still undefined.

Entities:  

Keywords:  COVID-19; infections; procalcitonin; severe disease

Mesh:

Substances:

Year:  2020        PMID: 32966166     DOI: 10.1080/17843286.2020.1824749

Source DB:  PubMed          Journal:  Acta Clin Belg        ISSN: 1784-3286            Impact factor:   1.264


  10 in total

1.  Procalcitonin is a biomarker for disease severity rather than bacterial co-infection in COVID-19.

Authors:  Randeep S Heer; Amit K J Mandal; Piotr Szawarski; Constantinos G Missouris
Journal:  Eur J Emerg Med       Date:  2021-09-21       Impact factor: 4.106

2.  Time-series analysis of multidimensional clinical-laboratory data by dynamic Bayesian networks reveals trajectories of COVID-19 outcomes.

Authors:  Enrico Longato; Mario Luca Morieri; Giovanni Sparacino; Barbara Di Camillo; Annamaria Cattelan; Sara Lo Menzo; Marco Trevenzoli; Andrea Vianello; Gabriella Guarnieri; Federico Lionello; Angelo Avogaro; Paola Fioretto; Roberto Vettor; Gian Paolo Fadini
Journal:  Comput Methods Programs Biomed       Date:  2022-05-11       Impact factor: 7.027

3.  Elucidating the role of procalcitonin as a biomarker in hospitalized COVID-19 patients.

Authors:  Kelsie Cowman; James Rossi; Inessa Gendlina; Yi Guo; Sichen Liu; Wendy Szymczak; Stefanie K Forest; Lucia Wolgast; Erika Orner; Hongkai Bao; Miguel E Cervera-Hernandez; Ashley Ceniceros; Raja Thota; Liise-Anne Pirofski; Priya Nori
Journal:  Diagn Microbiol Infect Dis       Date:  2022-05-04       Impact factor: 2.983

4.  Development and validation of an online model to predict critical COVID-19 with immune-inflammatory parameters.

Authors:  Yue Gao; Lingxi Chen; Jianhua Chi; Shaoqing Zeng; Xikang Feng; Huayi Li; Dan Liu; Xinxia Feng; Siyuan Wang; Ya Wang; Ruidi Yu; Yuan Yuan; Sen Xu; Chunrui Li; Wei Zhang; Shuaicheng Li; Qinglei Gao
Journal:  J Intensive Care       Date:  2021-02-18

Review 5.  Increased antimicrobial resistance during the COVID-19 pandemic.

Authors:  Chih-Cheng Lai; Shey-Ying Chen; Wen-Chien Ko; Po-Ren Hsueh
Journal:  Int J Antimicrob Agents       Date:  2021-03-19       Impact factor: 5.283

6.  Utility of Routine Laboratory Biomarkers to Detect COVID-19: A Systematic Review and Meta-Analysis.

Authors:  Jana Suklan; James Cheaveau; Sarah Hill; Samuel G Urwin; Kile Green; Amanda Winter; Timothy Hicks; Anna E Boath; Ashleigh Kernohan; D Ashley Price; A Joy Allen; Eoin Moloney; Sara Graziadio
Journal:  Viruses       Date:  2021-04-30       Impact factor: 5.048

7.  A Metabolomics approach for the diagnosis Of SecondAry InfeCtions in COVID-19 (MOSAIC): a study protocol.

Authors:  Gordan McCreath; Phillip D Whitfield; Andrew J Roe; Malcolm J Watson; Malcolm A B Sim
Journal:  BMC Infect Dis       Date:  2021-12-02       Impact factor: 3.090

8.  Comparative outcomes of combined corticosteroid and remdesivir therapy with corticosteroid monotherapy in ventilated COVID-19 patients.

Authors:  Subhadra Mandadi; Harish Pulluru; Frank Annie
Journal:  PLoS One       Date:  2022-02-23       Impact factor: 3.240

9.  Systemic Inflammatory Predictors of In-Hospital Mortality in COVID-19 Patients: A Retrospective Study.

Authors:  Bartosz Kudlinski; Dominika Zgoła; Marta Stolińska; Magdalena Murkos; Jagoda Kania; Pawel Nowak; Anna Noga; Magdalena Wojciech; Gabriel Zaborniak; Agnieszka Zembron-Lacny
Journal:  Diagnostics (Basel)       Date:  2022-03-30

10.  The Clinical Significance of Procalcitonin Elevation in Patients over 75 Years Old Admitted for COVID-19 Pneumonia.

Authors:  Andrea Ticinesi; Antonio Nouvenne; Beatrice Prati; Loredana Guida; Alberto Parise; Nicoletta Cerundolo; Chiara Bonaguri; Rosalia Aloe; Angela Guerra; Tiziana Meschi
Journal:  Mediators Inflamm       Date:  2021-06-28       Impact factor: 4.711

  10 in total

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