Please use this identifier to cite or link to this item: https://doi.org/10.1371/journal.pone.0215061
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dc.titleAtypical lymphocyte count correlates with the severity of dengue infection
dc.contributor.authorClarice, Choong Shi Hui
dc.contributor.authorAbeysuriya, Visula
dc.contributor.authorde Mel, Sanjay
dc.contributor.authorThilakawardana, Basuru Uvindu
dc.contributor.authorde Mel, Primesh
dc.contributor.authorde Mel, Chandima
dc.contributor.authorChandrasena, Lal
dc.contributor.authorSeneviratne, Suranjith L
dc.contributor.authorYip, Christina
dc.contributor.authorYap, Eng Soo
dc.date.accessioned2023-03-03T04:13:36Z
dc.date.available2023-03-03T04:13:36Z
dc.date.issued2019-05-01
dc.identifier.citationClarice, Choong Shi Hui, Abeysuriya, Visula, de Mel, Sanjay, Thilakawardana, Basuru Uvindu, de Mel, Primesh, de Mel, Chandima, Chandrasena, Lal, Seneviratne, Suranjith L, Yip, Christina, Yap, Eng Soo (2019-05-01). Atypical lymphocyte count correlates with the severity of dengue infection. PLOS ONE 14 (5). ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0215061
dc.identifier.issn1932-6203,1932-6203
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/237843
dc.description.abstractIntroduction 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.
dc.language.isoen
dc.publisherPUBLIC LIBRARY SCIENCE
dc.sourceElements
dc.subjectScience & Technology
dc.subjectMultidisciplinary Sciences
dc.subjectScience & Technology - Other Topics
dc.subjectCLASSIFICATION
dc.typeArticle
dc.date.updated2023-03-03T03:22:31Z
dc.contributor.departmentMEDICINE
dc.description.doi10.1371/journal.pone.0215061
dc.description.sourcetitlePLOS ONE
dc.description.volume14
dc.description.issue5
dc.published.statePublished
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