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Haematological predictors of poor outcome among COVID-19 patients admitted to an intensive care unit of a tertiary hospital in South Africa

BACKGROUND: Studies from Asia, Europe and the USA indicate that widely available haematological parameters could be used to determine the clinical severity of Coronavirus disease 2019 (COVID-19) and predict management outcome. There is limited data from Africa on their usefulness in patients admitte...

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Autores principales: Chapanduka, Zivanai C., Abdullah, Ibtisam, Allwood, Brian, Koegelenberg, Coenraad F., Irusen, Elvis, Lalla, Usha, Zemlin, Annalise E., Masha, Tandi E., Erasmus, Rajiv T., Jalavu, Thumeka P., Ngah, Veranyuy D., Yalew, Anteneh, Sigwadhi, Lovemore N., Baines, Nicola, Tamuzi, Jacques L., McAllister, Marli, Barasa, Anne K., Magutu, Valerie K., Njeru, Caroline, Amayo, Angela, Wanjiru Mureithi, Marianne W., Mungania, Mary, Sono-Setati, Musa, Zumla, Alimuddin, Nyasulu, Peter S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9635707/
https://www.ncbi.nlm.nih.gov/pubmed/36331976
http://dx.doi.org/10.1371/journal.pone.0275832
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author Chapanduka, Zivanai C.
Abdullah, Ibtisam
Allwood, Brian
Koegelenberg, Coenraad F.
Irusen, Elvis
Lalla, Usha
Zemlin, Annalise E.
Masha, Tandi E.
Erasmus, Rajiv T.
Jalavu, Thumeka P.
Ngah, Veranyuy D.
Yalew, Anteneh
Sigwadhi, Lovemore N.
Baines, Nicola
Tamuzi, Jacques L.
McAllister, Marli
Barasa, Anne K.
Magutu, Valerie K.
Njeru, Caroline
Amayo, Angela
Wanjiru Mureithi, Marianne W.
Mungania, Mary
Sono-Setati, Musa
Zumla, Alimuddin
Nyasulu, Peter S.
author_facet Chapanduka, Zivanai C.
Abdullah, Ibtisam
Allwood, Brian
Koegelenberg, Coenraad F.
Irusen, Elvis
Lalla, Usha
Zemlin, Annalise E.
Masha, Tandi E.
Erasmus, Rajiv T.
Jalavu, Thumeka P.
Ngah, Veranyuy D.
Yalew, Anteneh
Sigwadhi, Lovemore N.
Baines, Nicola
Tamuzi, Jacques L.
McAllister, Marli
Barasa, Anne K.
Magutu, Valerie K.
Njeru, Caroline
Amayo, Angela
Wanjiru Mureithi, Marianne W.
Mungania, Mary
Sono-Setati, Musa
Zumla, Alimuddin
Nyasulu, Peter S.
author_sort Chapanduka, Zivanai C.
collection PubMed
description BACKGROUND: Studies from Asia, Europe and the USA indicate that widely available haematological parameters could be used to determine the clinical severity of Coronavirus disease 2019 (COVID-19) and predict management outcome. There is limited data from Africa on their usefulness in patients admitted to Intensive Care Units (ICUs). We performed an evaluation of baseline haematological parameters as prognostic biomarkers in ICU COVID-19 patients. METHODS: Demographic, clinical and laboratory data were collected prospectively on patients with confirmed COVID-19, admitted to the adult ICU in a tertiary hospital in Cape Town, South Africa, between March 2020 and February 2021. Robust Poisson regression methods and receiver operating characteristic (ROC) curves were used to explore the association of haematological parameters with COVID-19 severity and mortality. RESULTS: A total of 490 patients (median age 54.1 years) were included, of whom 237 (48%) were female. The median duration of ICU stay was 6 days and 309/490 (63%) patients died. Raised neutrophil count and neutrophil/lymphocyte ratio (NLR) were associated with worse outcome. Independent risk factors associated with mortality were age (ARR 1.01, 95%CI 1.0–1.02; p = 0.002); female sex (ARR 1.23, 95%CI 1.05–1.42; p = 0.008) and D-dimer levels (ARR 1.01, 95%CI 1.002–1.03; p = 0.016). CONCLUSIONS: Our study showed that raised neutrophil count, NLR and D-dimer at the time of ICU admission were associated with higher mortality. Contrary to what has previously been reported, our study revealed females admitted to the ICU had a higher risk of mortality.
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spelling pubmed-96357072022-11-05 Haematological predictors of poor outcome among COVID-19 patients admitted to an intensive care unit of a tertiary hospital in South Africa Chapanduka, Zivanai C. Abdullah, Ibtisam Allwood, Brian Koegelenberg, Coenraad F. Irusen, Elvis Lalla, Usha Zemlin, Annalise E. Masha, Tandi E. Erasmus, Rajiv T. Jalavu, Thumeka P. Ngah, Veranyuy D. Yalew, Anteneh Sigwadhi, Lovemore N. Baines, Nicola Tamuzi, Jacques L. McAllister, Marli Barasa, Anne K. Magutu, Valerie K. Njeru, Caroline Amayo, Angela Wanjiru Mureithi, Marianne W. Mungania, Mary Sono-Setati, Musa Zumla, Alimuddin Nyasulu, Peter S. PLoS One Research Article BACKGROUND: Studies from Asia, Europe and the USA indicate that widely available haematological parameters could be used to determine the clinical severity of Coronavirus disease 2019 (COVID-19) and predict management outcome. There is limited data from Africa on their usefulness in patients admitted to Intensive Care Units (ICUs). We performed an evaluation of baseline haematological parameters as prognostic biomarkers in ICU COVID-19 patients. METHODS: Demographic, clinical and laboratory data were collected prospectively on patients with confirmed COVID-19, admitted to the adult ICU in a tertiary hospital in Cape Town, South Africa, between March 2020 and February 2021. Robust Poisson regression methods and receiver operating characteristic (ROC) curves were used to explore the association of haematological parameters with COVID-19 severity and mortality. RESULTS: A total of 490 patients (median age 54.1 years) were included, of whom 237 (48%) were female. The median duration of ICU stay was 6 days and 309/490 (63%) patients died. Raised neutrophil count and neutrophil/lymphocyte ratio (NLR) were associated with worse outcome. Independent risk factors associated with mortality were age (ARR 1.01, 95%CI 1.0–1.02; p = 0.002); female sex (ARR 1.23, 95%CI 1.05–1.42; p = 0.008) and D-dimer levels (ARR 1.01, 95%CI 1.002–1.03; p = 0.016). CONCLUSIONS: Our study showed that raised neutrophil count, NLR and D-dimer at the time of ICU admission were associated with higher mortality. Contrary to what has previously been reported, our study revealed females admitted to the ICU had a higher risk of mortality. Public Library of Science 2022-11-04 /pmc/articles/PMC9635707/ /pubmed/36331976 http://dx.doi.org/10.1371/journal.pone.0275832 Text en © 2022 Chapanduka et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chapanduka, Zivanai C.
Abdullah, Ibtisam
Allwood, Brian
Koegelenberg, Coenraad F.
Irusen, Elvis
Lalla, Usha
Zemlin, Annalise E.
Masha, Tandi E.
Erasmus, Rajiv T.
Jalavu, Thumeka P.
Ngah, Veranyuy D.
Yalew, Anteneh
Sigwadhi, Lovemore N.
Baines, Nicola
Tamuzi, Jacques L.
McAllister, Marli
Barasa, Anne K.
Magutu, Valerie K.
Njeru, Caroline
Amayo, Angela
Wanjiru Mureithi, Marianne W.
Mungania, Mary
Sono-Setati, Musa
Zumla, Alimuddin
Nyasulu, Peter S.
Haematological predictors of poor outcome among COVID-19 patients admitted to an intensive care unit of a tertiary hospital in South Africa
title Haematological predictors of poor outcome among COVID-19 patients admitted to an intensive care unit of a tertiary hospital in South Africa
title_full Haematological predictors of poor outcome among COVID-19 patients admitted to an intensive care unit of a tertiary hospital in South Africa
title_fullStr Haematological predictors of poor outcome among COVID-19 patients admitted to an intensive care unit of a tertiary hospital in South Africa
title_full_unstemmed Haematological predictors of poor outcome among COVID-19 patients admitted to an intensive care unit of a tertiary hospital in South Africa
title_short Haematological predictors of poor outcome among COVID-19 patients admitted to an intensive care unit of a tertiary hospital in South Africa
title_sort haematological predictors of poor outcome among covid-19 patients admitted to an intensive care unit of a tertiary hospital in south africa
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9635707/
https://www.ncbi.nlm.nih.gov/pubmed/36331976
http://dx.doi.org/10.1371/journal.pone.0275832
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