The Usefulness of Peripheral Blood Cell Counts to Distinguish COVID-19 from Dengue during Acute Infection
COVID-19 and dengue disease are challenging to tell apart because they have similarities in clinical and laboratory features during the acute phase of infection, leading to misdiagnosis and delayed treatment. The present study evaluated peripheral blood cell count accuracy to distinguish COVID-19 no...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | Tropical Medicine and Infectious Disease |
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| Online Access: | https://www.mdpi.com/2414-6366/7/2/20 |
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| author | Juan Fidel Osuna-Ramos José Manuel Reyes-Ruiz Luis Antonio Ochoa-Ramírez Luis Adrián De Jesús-González Rosalío Ramos-Payán Carlos Noe Farfan-Morales Alejandra Romero-Utrilla Efrén Rafael Ríos-Burgueño José Rodríguez-Millán Rosa María del Ángel Jesús Salvador Velarde-Félix |
| author_facet | Juan Fidel Osuna-Ramos José Manuel Reyes-Ruiz Luis Antonio Ochoa-Ramírez Luis Adrián De Jesús-González Rosalío Ramos-Payán Carlos Noe Farfan-Morales Alejandra Romero-Utrilla Efrén Rafael Ríos-Burgueño José Rodríguez-Millán Rosa María del Ángel Jesús Salvador Velarde-Félix |
| author_sort | Juan Fidel Osuna-Ramos |
| collection | DOAJ |
| description | COVID-19 and dengue disease are challenging to tell apart because they have similarities in clinical and laboratory features during the acute phase of infection, leading to misdiagnosis and delayed treatment. The present study evaluated peripheral blood cell count accuracy to distinguish COVID-19 non-critical patients from non-severe dengue cases between the second and eleventh day after symptom onset. A total of 288 patients infected with SARS-CoV-2 (n = 105) or dengue virus (n = 183) were included in this study. Neutrophil, platelet, and lymphocyte counts were used to calculate the neutrophil–lymphocyte ratio (NLR), the platelet–lymphocyte ratio (PLR), and the neutrophil–lymphocyte*platelet ratio (NLPR). The logistic regression and ROC curves analysis revealed that neutrophil and platelet counts, NLR, LPR, and NLPR were higher in COVID-19 than dengue. The multivariate predictive model showed that the neutrophils, platelets, and NLPR were independently associated with COVID-19 with a good fit predictive value (<i>p</i> = 0.1041). The neutrophil (AUC = 0.95, 95% CI = 0.84–0.91), platelet (AUC = 0.89, 95% CI = 0.85–0.93) counts, and NLR (AUC = 0.88, 95% CI = 0.84–0.91) were able to discriminate COVID-19 from dengue with high sensitivity and specificity values (above 80%). Finally, based on predicted probabilities on combining neutrophils and platelets with NLR or NLPR, the adjusted AUC was 0.97 (95% CI = 0.94–0.98) to differentiate COVID-19 from dengue during the acute phase of infection with outstanding accuracy. These findings might suggest that the neutrophil, platelet counts, and NLR or NLPR provide a quick and cost-effective way to distinguish between dengue and COVID-19 in the context of co-epidemics in low-income tropical regions. |
| first_indexed | 2024-03-09T20:55:08Z |
| format | Article |
| id | doaj.art-0e829823df6a429d91a987d7ab4bd432 |
| institution | Directory Open Access Journal |
| issn | 2414-6366 |
| language | English |
| last_indexed | 2024-03-09T20:55:08Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Tropical Medicine and Infectious Disease |
| spelling | doaj.art-0e829823df6a429d91a987d7ab4bd4322023-11-23T22:22:25ZengMDPI AGTropical Medicine and Infectious Disease2414-63662022-01-01722010.3390/tropicalmed7020020The Usefulness of Peripheral Blood Cell Counts to Distinguish COVID-19 from Dengue during Acute InfectionJuan Fidel Osuna-Ramos0José Manuel Reyes-Ruiz1Luis Antonio Ochoa-Ramírez2Luis Adrián De Jesús-González3Rosalío Ramos-Payán4Carlos Noe Farfan-Morales5Alejandra Romero-Utrilla6Efrén Rafael Ríos-Burgueño7José Rodríguez-Millán8Rosa María del Ángel9Jesús Salvador Velarde-Félix10Department of Infectomics and Molecular Pathogenesis, Center for Research and Advanced Studies (CINVESTAV-IPN), Ciudad de México 07360, MexicoUnidad Médica de Alta Especialidad, Hospital de Especialidades No. 14, Centro Médico Nacional “Adolfo Ruiz Cortines”, Instituto Mexicano del Seguro Social (IMSS), Veracruz 91897, Mexico“Bernardo J Gastélum”, Servicios de Salud de Sinaloa, Hospital General de Culiacán, Culiacán Rosales 80030, MexicoDepartment of Infectomics and Molecular Pathogenesis, Center for Research and Advanced Studies (CINVESTAV-IPN), Ciudad de México 07360, MexicoFacultad de Ciencias Químico-Biológicas, Universidad Autónoma de Sinaloa, Culiacán Rosales 80040, MexicoDepartment of Infectomics and Molecular Pathogenesis, Center for Research and Advanced Studies (CINVESTAV-IPN), Ciudad de México 07360, MexicoDepartamento de Anatomía Patológica, Instituto Mexicano del Seguro Social (IMSS), Culiacán Rosales 80220, Mexico“Bernardo J Gastélum”, Servicios de Salud de Sinaloa, Hospital General de Culiacán, Culiacán Rosales 80030, Mexico“Bernardo J Gastélum”, Servicios de Salud de Sinaloa, Hospital General de Culiacán, Culiacán Rosales 80030, MexicoDepartment of Infectomics and Molecular Pathogenesis, Center for Research and Advanced Studies (CINVESTAV-IPN), Ciudad de México 07360, Mexico“Bernardo J Gastélum”, Servicios de Salud de Sinaloa, Hospital General de Culiacán, Culiacán Rosales 80030, MexicoCOVID-19 and dengue disease are challenging to tell apart because they have similarities in clinical and laboratory features during the acute phase of infection, leading to misdiagnosis and delayed treatment. The present study evaluated peripheral blood cell count accuracy to distinguish COVID-19 non-critical patients from non-severe dengue cases between the second and eleventh day after symptom onset. A total of 288 patients infected with SARS-CoV-2 (n = 105) or dengue virus (n = 183) were included in this study. Neutrophil, platelet, and lymphocyte counts were used to calculate the neutrophil–lymphocyte ratio (NLR), the platelet–lymphocyte ratio (PLR), and the neutrophil–lymphocyte*platelet ratio (NLPR). The logistic regression and ROC curves analysis revealed that neutrophil and platelet counts, NLR, LPR, and NLPR were higher in COVID-19 than dengue. The multivariate predictive model showed that the neutrophils, platelets, and NLPR were independently associated with COVID-19 with a good fit predictive value (<i>p</i> = 0.1041). The neutrophil (AUC = 0.95, 95% CI = 0.84–0.91), platelet (AUC = 0.89, 95% CI = 0.85–0.93) counts, and NLR (AUC = 0.88, 95% CI = 0.84–0.91) were able to discriminate COVID-19 from dengue with high sensitivity and specificity values (above 80%). Finally, based on predicted probabilities on combining neutrophils and platelets with NLR or NLPR, the adjusted AUC was 0.97 (95% CI = 0.94–0.98) to differentiate COVID-19 from dengue during the acute phase of infection with outstanding accuracy. These findings might suggest that the neutrophil, platelet counts, and NLR or NLPR provide a quick and cost-effective way to distinguish between dengue and COVID-19 in the context of co-epidemics in low-income tropical regions.https://www.mdpi.com/2414-6366/7/2/20COVID-19dengueperipheral blood cells count neutrophilsneutrophil–lymphocyte ratiopredictors |
| spellingShingle | Juan Fidel Osuna-Ramos José Manuel Reyes-Ruiz Luis Antonio Ochoa-Ramírez Luis Adrián De Jesús-González Rosalío Ramos-Payán Carlos Noe Farfan-Morales Alejandra Romero-Utrilla Efrén Rafael Ríos-Burgueño José Rodríguez-Millán Rosa María del Ángel Jesús Salvador Velarde-Félix The Usefulness of Peripheral Blood Cell Counts to Distinguish COVID-19 from Dengue during Acute Infection Tropical Medicine and Infectious Disease COVID-19 dengue peripheral blood cells count neutrophils neutrophil–lymphocyte ratio predictors |
| title | The Usefulness of Peripheral Blood Cell Counts to Distinguish COVID-19 from Dengue during Acute Infection |
| title_full | The Usefulness of Peripheral Blood Cell Counts to Distinguish COVID-19 from Dengue during Acute Infection |
| title_fullStr | The Usefulness of Peripheral Blood Cell Counts to Distinguish COVID-19 from Dengue during Acute Infection |
| title_full_unstemmed | The Usefulness of Peripheral Blood Cell Counts to Distinguish COVID-19 from Dengue during Acute Infection |
| title_short | The Usefulness of Peripheral Blood Cell Counts to Distinguish COVID-19 from Dengue during Acute Infection |
| title_sort | usefulness of peripheral blood cell counts to distinguish covid 19 from dengue during acute infection |
| topic | COVID-19 dengue peripheral blood cells count neutrophils neutrophil–lymphocyte ratio predictors |
| url | https://www.mdpi.com/2414-6366/7/2/20 |
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