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Atypical lymphocyte count correlates with the severity of dengue infection
INTRODUCTION: The early identification of patients at risk of severe dengue infection (DI) is critical to guide clinical management. There is currently no validated laboratory test which can predict severe complications of DI. The Atypical lymphocyte count (ALC) is a research parameter generated at...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6494037/ https://www.ncbi.nlm.nih.gov/pubmed/31042724 http://dx.doi.org/10.1371/journal.pone.0215061 |
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author | Clarice, Choong Shi Hui Abeysuriya, Visula de Mel, Sanjay Uvindu Thilakawardana, Basuru de Mel, Primesh de Mel, Chandima Chandrasena, Lal Seneviratne, Suranjith L. Yip, Christina Yap, Eng Soo |
author_facet | Clarice, Choong Shi Hui Abeysuriya, Visula de Mel, Sanjay Uvindu Thilakawardana, Basuru de Mel, Primesh de Mel, Chandima Chandrasena, Lal Seneviratne, Suranjith L. Yip, Christina Yap, Eng Soo |
author_sort | Clarice, Choong Shi Hui |
collection | PubMed |
description | INTRODUCTION: The early identification of patients at risk of severe dengue infection (DI) is critical to guide clinical management. There is currently no validated laboratory test which can predict severe complications of DI. The Atypical lymphocyte count (ALC) is a research parameter generated at no extra cost when an automated Full Blood Count (FBC) is performed. The purpose of this study was to assess the association of ALC with the severity of DI. METHODS: We prospectively collected data on patients admitted to Nawaloka Hospital Sri Lanka (NH) with DI between December 2016 and November 2017. DI was diagnosed based on a positive Non-structural antigen 1 (NS1) or dengue IgM antibody. ALC (absolute ALC and percentage) data were extracted from the Sysmex XS500i automated full blood count (FBC) analyzer (Sysmex Corporation Kobe, Japan). Clinical data was recorded from medical records and the computerized data base maintained by NH. RESULTS: 530 patients were enrolled. Patients with clinical manifestations of severe dengue have a significantly higher AL % compared to dengue without warning signs. Patients who presented with respiratory compromise had statistically significantly higher AL% compared to those without. (AL%; 8.65±12.09 vs 2.17±4.25 [p = 0.01]). Similarly, patients who developed hypotension had higher AL% compared to those who did not suffered from shock (AL%; 8.40±1.26 vs 2.18±4.25 [p = 0.001]). The AL% of dengue patients presenting with bleeding, at 4.07%, is also higher than those without bleeding complications, at 2.15%. There was a significant negative association between platelet count and AL% (p = 0.04). CONCLUSIONS: Clinical manifestations of severe dengue have a significantly higher AL % compared to dengue without warning signs. AL % at presentation may be predictive of severe DI and future larger prospective longitudinal studies should be done to determine if AL % on admission is predictive of the complications of DI. |
format | Online Article Text |
id | pubmed-6494037 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-64940372019-05-17 Atypical lymphocyte count correlates with the severity of dengue infection Clarice, Choong Shi Hui Abeysuriya, Visula de Mel, Sanjay Uvindu Thilakawardana, Basuru de Mel, Primesh de Mel, Chandima Chandrasena, Lal Seneviratne, Suranjith L. Yip, Christina Yap, Eng Soo PLoS One Research Article INTRODUCTION: The early identification of patients at risk of severe dengue infection (DI) is critical to guide clinical management. There is currently no validated laboratory test which can predict severe complications of DI. The Atypical lymphocyte count (ALC) is a research parameter generated at no extra cost when an automated Full Blood Count (FBC) is performed. The purpose of this study was to assess the association of ALC with the severity of DI. METHODS: We prospectively collected data on patients admitted to Nawaloka Hospital Sri Lanka (NH) with DI between December 2016 and November 2017. DI was diagnosed based on a positive Non-structural antigen 1 (NS1) or dengue IgM antibody. ALC (absolute ALC and percentage) data were extracted from the Sysmex XS500i automated full blood count (FBC) analyzer (Sysmex Corporation Kobe, Japan). Clinical data was recorded from medical records and the computerized data base maintained by NH. RESULTS: 530 patients were enrolled. Patients with clinical manifestations of severe dengue have a significantly higher AL % compared to dengue without warning signs. Patients who presented with respiratory compromise had statistically significantly higher AL% compared to those without. (AL%; 8.65±12.09 vs 2.17±4.25 [p = 0.01]). Similarly, patients who developed hypotension had higher AL% compared to those who did not suffered from shock (AL%; 8.40±1.26 vs 2.18±4.25 [p = 0.001]). The AL% of dengue patients presenting with bleeding, at 4.07%, is also higher than those without bleeding complications, at 2.15%. There was a significant negative association between platelet count and AL% (p = 0.04). CONCLUSIONS: Clinical manifestations of severe dengue have a significantly higher AL % compared to dengue without warning signs. AL % at presentation may be predictive of severe DI and future larger prospective longitudinal studies should be done to determine if AL % on admission is predictive of the complications of DI. Public Library of Science 2019-05-01 /pmc/articles/PMC6494037/ /pubmed/31042724 http://dx.doi.org/10.1371/journal.pone.0215061 Text en © 2019 Clarice et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://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 Clarice, Choong Shi Hui Abeysuriya, Visula de Mel, Sanjay Uvindu Thilakawardana, Basuru de Mel, Primesh de Mel, Chandima Chandrasena, Lal Seneviratne, Suranjith L. Yip, Christina Yap, Eng Soo Atypical lymphocyte count correlates with the severity of dengue infection |
title | Atypical lymphocyte count correlates with the severity of dengue infection |
title_full | Atypical lymphocyte count correlates with the severity of dengue infection |
title_fullStr | Atypical lymphocyte count correlates with the severity of dengue infection |
title_full_unstemmed | Atypical lymphocyte count correlates with the severity of dengue infection |
title_short | Atypical lymphocyte count correlates with the severity of dengue infection |
title_sort | atypical lymphocyte count correlates with the severity of dengue infection |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6494037/ https://www.ncbi.nlm.nih.gov/pubmed/31042724 http://dx.doi.org/10.1371/journal.pone.0215061 |
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