ArticleInfectious diseases of poverty2017
Differentiating between dengue fever and malaria using hematological parameters in endemic areas of Thailand.
Article in Infectious diseases of poverty, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 4 of them syntheses that pooled it.
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Who cites it
12 citing papers in PubMed, 4 syntheses or guidelines pooled it, 29 citations in OpenAlex.
- Neutrophil-to-lymphocyte ratio for the clinical management of dengue: a systematic review and meta-analysis.Frontiers in epidemiology · 2026Pooled it
- C-reactive protein as an early biomarker for malaria infection and monitoring of malaria severity: a meta-analysis.Scientific reports · 2021Pooled it
- Prevalence of and risk factors for severe malaria caused by Plasmodium and dengue virus co-infection: a systematic review and meta-analysis.Infectious diseases of poverty · 2020Pooled it
- The utility of peripheral blood leucocyte ratios as biomarkers in infectious diseases: A systematic review and meta-analysis.The Journal of infection · 2019Pooled it
- Cost-effective prognostic evaluation of breast cancer: using a STAR nomogram model based on routine blood tests.Frontiers in endocrinology · 2024Article
- Severity of Dengue Viral Infection Based on Clinical and Hematological Parameters among Pakistani Patients.The American journal of tropical medicine and hygiene · 2023Article
- Global transmission suitability maps for dengue virus transmitted by Aedes aegypti from 1981 to 2019.Scientific data · 2023Article
- The utility of basic blood counts, WBC histogram and C-reactive protein in detecting malaria.BMC infectious diseases · 2021Article
- Increased TNF-Journal of immunology research · 2021Observational
- Factors associated with thrombocytopenia in patients with dengue fever: a retrospective cohort study.BMJ open · 2020Article
- Point-of-care thrombocyte function testing using multiple-electrode aggregometry in dengue patients: an explorative study.BMC infectious diseases · 2020Article
- Evaluation of mouse red blood cell and platelet counting with an automated hematology analyzer.The Journal of veterinary medical science · 2017Article
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4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDengue fever (DF) and malaria are the two major public health concerns in tropical countries such as Thailand. Early differentiation between dengue and malaria could help clinicians to identify patients who should be closely monitored for signs of dengue hemorrhagic fever or severe malaria. This study aims to build knowledge on diagnostic markers that are used to discriminate between the infections, which frequently occur in malaria-endemic areas, such as the ones in Thailand.
methodsA retrospective study was conducted in Phop Phra Hospital, a hospital located in the Thailand-Burma border area, a malaria-endemic area, between 2013 and 2015. In brief, data on 336 patients infected with malaria were compared to data on 347 patients infected with DF.
resultsWhite blood cells, neutrophil, monocyte, eosinophil, neutrophil-lymphocyte ratio, and monocyte-lymphocyte ratio were significantly lower in patients with DF compared to patients with malaria (P < 0.0001). In contrast, red blood cells, hemoglobin, hematocrit, mean corpuscular volume, mean corpuscular hemoglobin, and mean corpuscular hemoglobin concentration were significantly higher in patients with DF as compared to patients with malaria (P < 0.0001). A decision tree model revealed that using neutrophils, lymphocyte, MCHC, and gender was guided to discriminate between dengue and malaria infection.
conclusionThis study concluded that several hematological parameters were different for diagnosing DF and malaria. A decision tree model revealed that using neutrophils, lymphocyte, MCHC, and gender was guided to discriminate patients with dengue and malaria infection. In addition, using these markers will thus lead to early detection, diagnosis, and prompt treatment of these tropical diseases.
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