Cargando…

The role of procalcitonin in predicting risk of mechanical ventilation and mortality among moderate to severe COVID-19 patients

BACKGROUND: Serum procalcitonin (PCT) has become an emerging prognostic biomarker of disease progression in patients with COVID-19. This study aims to determine the optimal cut-off value of PCT with regards to important clinical outcomes, especially for mechanical ventilation and all-cause mortality...

Descripción completa

Detalles Bibliográficos
Autores principales: Twe, Cher Wei, Khoo, Delton Kah Yeang, Law, Kian Boon, Ahmad Nordin, Nur Sabreena binti, Sathasivan, Subashini, Lim, Kah Chuan, Atikah, Sharifah Khairul, Syed Badaruddin, Syarifah Nurul Ain bt, Chidambaram, Suresh Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9011382/
https://www.ncbi.nlm.nih.gov/pubmed/35428273
http://dx.doi.org/10.1186/s12879-022-07362-x
_version_ 1784687678091952128
author Twe, Cher Wei
Khoo, Delton Kah Yeang
Law, Kian Boon
Ahmad Nordin, Nur Sabreena binti
Sathasivan, Subashini
Lim, Kah Chuan
Atikah, Sharifah Khairul
Syed Badaruddin, Syarifah Nurul Ain bt
Chidambaram, Suresh Kumar
author_facet Twe, Cher Wei
Khoo, Delton Kah Yeang
Law, Kian Boon
Ahmad Nordin, Nur Sabreena binti
Sathasivan, Subashini
Lim, Kah Chuan
Atikah, Sharifah Khairul
Syed Badaruddin, Syarifah Nurul Ain bt
Chidambaram, Suresh Kumar
author_sort Twe, Cher Wei
collection PubMed
description BACKGROUND: Serum procalcitonin (PCT) has become an emerging prognostic biomarker of disease progression in patients with COVID-19. This study aims to determine the optimal cut-off value of PCT with regards to important clinical outcomes, especially for mechanical ventilation and all-cause mortality among moderate to severe COVID-19 patients in Malaysia. METHODS: A total of 319 moderate to severe COVID-19 patients hospitalized at the National Referral Hospital in December 2020 were included in the study retrospectively. Demographics, comorbidities, the severity of COVID-19 infection, laboratory and imaging findings, and treatment given were collected from the hospital information system for analysis. The optimal cut-point values for PCT were estimated in two levels. The first level involved 276 patients who had their PCT measured within 5 days following their admission. The second level involved 237 patients who had their PCT measured within 3 days following their admission. Further, a propensity score matching analysis was performed to determine the adjusted relative risk of patients with regards to various clinical outcomes according to the selected cut-point among 237 patients who had their PCT measured within 3 days. RESULTS: The results showed that a PCT level of 0.2 ng/mL was the optimal cut-point for prognosis especially for mortality outcome and the need for mechanical ventilation. Before matching, patients with PCT ≥ 0.2 ng/mL were associated with significantly higher odds in all investigated outcomes. After matching, patients with PCT > 0.2 ng/mL were associated with higher odds in all-cause mortality (OR: 4.629, 95% CI 1.387–15.449, p = 0.0127) and non-invasive ventilation (OR: 2.667, 95% CI 1.039–6.847, p = 0.0415). Furthermore, patients with higher PCT were associated with significantly longer days of mechanical ventilation (p = 0.0213). There was however no association between higher PCT level and the need for mechanical ventilation (OR: 2.010, 95% CI 0.828–4.878, p = 0.1229). CONCLUSION: Our study indicates that a rise in PCT above 0.2 ng/mL is associated with an elevated risk in all-cause mortality, the need for non-invasive ventilation, and a longer duration of mechanical ventilation. The study offers concrete evidence for PCT to be used as a prognostication marker among moderate to severe COVID-19 patients.
format Online
Article
Text
id pubmed-9011382
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-90113822022-04-15 The role of procalcitonin in predicting risk of mechanical ventilation and mortality among moderate to severe COVID-19 patients Twe, Cher Wei Khoo, Delton Kah Yeang Law, Kian Boon Ahmad Nordin, Nur Sabreena binti Sathasivan, Subashini Lim, Kah Chuan Atikah, Sharifah Khairul Syed Badaruddin, Syarifah Nurul Ain bt Chidambaram, Suresh Kumar BMC Infect Dis Research BACKGROUND: Serum procalcitonin (PCT) has become an emerging prognostic biomarker of disease progression in patients with COVID-19. This study aims to determine the optimal cut-off value of PCT with regards to important clinical outcomes, especially for mechanical ventilation and all-cause mortality among moderate to severe COVID-19 patients in Malaysia. METHODS: A total of 319 moderate to severe COVID-19 patients hospitalized at the National Referral Hospital in December 2020 were included in the study retrospectively. Demographics, comorbidities, the severity of COVID-19 infection, laboratory and imaging findings, and treatment given were collected from the hospital information system for analysis. The optimal cut-point values for PCT were estimated in two levels. The first level involved 276 patients who had their PCT measured within 5 days following their admission. The second level involved 237 patients who had their PCT measured within 3 days following their admission. Further, a propensity score matching analysis was performed to determine the adjusted relative risk of patients with regards to various clinical outcomes according to the selected cut-point among 237 patients who had their PCT measured within 3 days. RESULTS: The results showed that a PCT level of 0.2 ng/mL was the optimal cut-point for prognosis especially for mortality outcome and the need for mechanical ventilation. Before matching, patients with PCT ≥ 0.2 ng/mL were associated with significantly higher odds in all investigated outcomes. After matching, patients with PCT > 0.2 ng/mL were associated with higher odds in all-cause mortality (OR: 4.629, 95% CI 1.387–15.449, p = 0.0127) and non-invasive ventilation (OR: 2.667, 95% CI 1.039–6.847, p = 0.0415). Furthermore, patients with higher PCT were associated with significantly longer days of mechanical ventilation (p = 0.0213). There was however no association between higher PCT level and the need for mechanical ventilation (OR: 2.010, 95% CI 0.828–4.878, p = 0.1229). CONCLUSION: Our study indicates that a rise in PCT above 0.2 ng/mL is associated with an elevated risk in all-cause mortality, the need for non-invasive ventilation, and a longer duration of mechanical ventilation. The study offers concrete evidence for PCT to be used as a prognostication marker among moderate to severe COVID-19 patients. BioMed Central 2022-04-15 /pmc/articles/PMC9011382/ /pubmed/35428273 http://dx.doi.org/10.1186/s12879-022-07362-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Twe, Cher Wei
Khoo, Delton Kah Yeang
Law, Kian Boon
Ahmad Nordin, Nur Sabreena binti
Sathasivan, Subashini
Lim, Kah Chuan
Atikah, Sharifah Khairul
Syed Badaruddin, Syarifah Nurul Ain bt
Chidambaram, Suresh Kumar
The role of procalcitonin in predicting risk of mechanical ventilation and mortality among moderate to severe COVID-19 patients
title The role of procalcitonin in predicting risk of mechanical ventilation and mortality among moderate to severe COVID-19 patients
title_full The role of procalcitonin in predicting risk of mechanical ventilation and mortality among moderate to severe COVID-19 patients
title_fullStr The role of procalcitonin in predicting risk of mechanical ventilation and mortality among moderate to severe COVID-19 patients
title_full_unstemmed The role of procalcitonin in predicting risk of mechanical ventilation and mortality among moderate to severe COVID-19 patients
title_short The role of procalcitonin in predicting risk of mechanical ventilation and mortality among moderate to severe COVID-19 patients
title_sort role of procalcitonin in predicting risk of mechanical ventilation and mortality among moderate to severe covid-19 patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9011382/
https://www.ncbi.nlm.nih.gov/pubmed/35428273
http://dx.doi.org/10.1186/s12879-022-07362-x
work_keys_str_mv AT twecherwei theroleofprocalcitonininpredictingriskofmechanicalventilationandmortalityamongmoderatetoseverecovid19patients
AT khoodeltonkahyeang theroleofprocalcitonininpredictingriskofmechanicalventilationandmortalityamongmoderatetoseverecovid19patients
AT lawkianboon theroleofprocalcitonininpredictingriskofmechanicalventilationandmortalityamongmoderatetoseverecovid19patients
AT ahmadnordinnursabreenabinti theroleofprocalcitonininpredictingriskofmechanicalventilationandmortalityamongmoderatetoseverecovid19patients
AT sathasivansubashini theroleofprocalcitonininpredictingriskofmechanicalventilationandmortalityamongmoderatetoseverecovid19patients
AT limkahchuan theroleofprocalcitonininpredictingriskofmechanicalventilationandmortalityamongmoderatetoseverecovid19patients
AT atikahsharifahkhairul theroleofprocalcitonininpredictingriskofmechanicalventilationandmortalityamongmoderatetoseverecovid19patients
AT syedbadaruddinsyarifahnurulainbt theroleofprocalcitonininpredictingriskofmechanicalventilationandmortalityamongmoderatetoseverecovid19patients
AT chidambaramsureshkumar theroleofprocalcitonininpredictingriskofmechanicalventilationandmortalityamongmoderatetoseverecovid19patients
AT twecherwei roleofprocalcitonininpredictingriskofmechanicalventilationandmortalityamongmoderatetoseverecovid19patients
AT khoodeltonkahyeang roleofprocalcitonininpredictingriskofmechanicalventilationandmortalityamongmoderatetoseverecovid19patients
AT lawkianboon roleofprocalcitonininpredictingriskofmechanicalventilationandmortalityamongmoderatetoseverecovid19patients
AT ahmadnordinnursabreenabinti roleofprocalcitonininpredictingriskofmechanicalventilationandmortalityamongmoderatetoseverecovid19patients
AT sathasivansubashini roleofprocalcitonininpredictingriskofmechanicalventilationandmortalityamongmoderatetoseverecovid19patients
AT limkahchuan roleofprocalcitonininpredictingriskofmechanicalventilationandmortalityamongmoderatetoseverecovid19patients
AT atikahsharifahkhairul roleofprocalcitonininpredictingriskofmechanicalventilationandmortalityamongmoderatetoseverecovid19patients
AT syedbadaruddinsyarifahnurulainbt roleofprocalcitonininpredictingriskofmechanicalventilationandmortalityamongmoderatetoseverecovid19patients
AT chidambaramsureshkumar roleofprocalcitonininpredictingriskofmechanicalventilationandmortalityamongmoderatetoseverecovid19patients