Abstract:Introduction: Haemozoin –containing leucocytes (HCL) can be used to predict severe malaria.
Methodology: A case –control study was conducted in Singa, Sudan, to investigate the haematological values and HCL in children with severe Plasmodium falciparum malaria. The cases were children with severe P. falciparum malaria (67). The two groups of controls were patients with uncomplicated P. falciparum malaria (63) and healthy children (50).
Results: The mean (±SD) age was 5.5 (±3.8) years. In comparison… Show more
“…In the present study, P. falciparum-infected patients showed signi cantly lower median values of Hb, RBC count, MCH, MCHC, neutrophils, lymphocytes and platelets compared to malaria-negative counterparts. In line with the present study, a signi cantly lower median platelet count was found among Sudanese children with falciparum malaria compared to malaria-negative ones [13]. In contrast, a signi cantly higher median WBC count and non-signi cant differences between the median values of Hb and RBC count were observed in infected children [13].…”
Section: Discussionsupporting
confidence: 90%
“…Hematological abnormalities can contribute to the pathogenesis and complications of the disease [3] and differ according to disease endemicity, nutritional and immune status, co-existence of hemoglobinopathies and demographic factors [6][7][8][9][10][11][12][13][14][15]. Therefore, the pro le of hematological indices can help physicians to predict malaria consequences and to improve malaria case management in different epidemiological situations [12][13][14][15]. Malaria is a leading cause of anemia worldwide and contributes to approximately 25.0% of anemia prevalence in sub-Saharan Africa [16].…”
Background: Hematological abnormalities are common features in falciparum malaria but vary among different populations across countries. Therefore, we compared hematological indices and abnormalities between Plasmodium falciparum-infected patients and malaria-negative subjects in Kosti city of the White Nile State, Sudan. Methods: A comparative, cross-sectional study was conducted at the Medical Technology Laboratory Unit of Kosti Teaching Hospital from June to December 2018. A total of 392 participants (192 P. falciparum-infected patients and 200 malaria-negative subjects) were recruited in the study. Hematological indices of hemoglobin (Hb), red blood cells (RBCs), white blood cells (WBCs) and platelets were measured and their median values were statistically compared.Results: The majority of P. falciparum-infected patients (64.6%) showed a low-level parasitemia. The median values of Hb concentration, RBC count, mean corpuscular Hb and mean corpuscular Hb concentration were significantly lower in P. falciparum-infected patients, with anemia being significantly higher among infected patients than malaria-negative subjects (60.4% vs. 29.5%, respectively). The median total WBC count was non-significantly higher in P. falciparum-infected patients, with leucopenia being non-significantly different between both groups. The median platelet count was significantly lower in P. falciparum-infected patients, with thrombocytopenia being significantly higher among infected patients than malaria-negative subjects (72.4% vs. 5.0%, respectively).Conclusions: Most falciparum malaria infections among patients in Kosti city of the White Nile State – Sudan are of low-level parasitemia. Nevertheless, falciparum malaria is significantly associated with anemia and thrombocytopenia with lower median values of Hb, RBC count, MCH, MCHC and platelet count in P. falciparum-infected patients than malaria-negative subjects. In contrast, leucopenia is not useful to predict falciparum malaria. Further large-scale studies in community and healthcare settings and inclusion of patients with complicated or severe malaria and those with high parasite densities are recommended.
“…In the present study, P. falciparum-infected patients showed signi cantly lower median values of Hb, RBC count, MCH, MCHC, neutrophils, lymphocytes and platelets compared to malaria-negative counterparts. In line with the present study, a signi cantly lower median platelet count was found among Sudanese children with falciparum malaria compared to malaria-negative ones [13]. In contrast, a signi cantly higher median WBC count and non-signi cant differences between the median values of Hb and RBC count were observed in infected children [13].…”
Section: Discussionsupporting
confidence: 90%
“…Hematological abnormalities can contribute to the pathogenesis and complications of the disease [3] and differ according to disease endemicity, nutritional and immune status, co-existence of hemoglobinopathies and demographic factors [6][7][8][9][10][11][12][13][14][15]. Therefore, the pro le of hematological indices can help physicians to predict malaria consequences and to improve malaria case management in different epidemiological situations [12][13][14][15]. Malaria is a leading cause of anemia worldwide and contributes to approximately 25.0% of anemia prevalence in sub-Saharan Africa [16].…”
Background: Hematological abnormalities are common features in falciparum malaria but vary among different populations across countries. Therefore, we compared hematological indices and abnormalities between Plasmodium falciparum-infected patients and malaria-negative subjects in Kosti city of the White Nile State, Sudan. Methods: A comparative, cross-sectional study was conducted at the Medical Technology Laboratory Unit of Kosti Teaching Hospital from June to December 2018. A total of 392 participants (192 P. falciparum-infected patients and 200 malaria-negative subjects) were recruited in the study. Hematological indices of hemoglobin (Hb), red blood cells (RBCs), white blood cells (WBCs) and platelets were measured and their median values were statistically compared.Results: The majority of P. falciparum-infected patients (64.6%) showed a low-level parasitemia. The median values of Hb concentration, RBC count, mean corpuscular Hb and mean corpuscular Hb concentration were significantly lower in P. falciparum-infected patients, with anemia being significantly higher among infected patients than malaria-negative subjects (60.4% vs. 29.5%, respectively). The median total WBC count was non-significantly higher in P. falciparum-infected patients, with leucopenia being non-significantly different between both groups. The median platelet count was significantly lower in P. falciparum-infected patients, with thrombocytopenia being significantly higher among infected patients than malaria-negative subjects (72.4% vs. 5.0%, respectively).Conclusions: Most falciparum malaria infections among patients in Kosti city of the White Nile State – Sudan are of low-level parasitemia. Nevertheless, falciparum malaria is significantly associated with anemia and thrombocytopenia with lower median values of Hb, RBC count, MCH, MCHC and platelet count in P. falciparum-infected patients than malaria-negative subjects. In contrast, leucopenia is not useful to predict falciparum malaria. Further large-scale studies in community and healthcare settings and inclusion of patients with complicated or severe malaria and those with high parasite densities are recommended.
“…Seven studies were conducted in Asian countries, and six studies were conducted in South America. Eight of the articles from five African countries-Ghana [26], Gabon [7,27], Nigeria [28,29], Cameroon [9,30], and Sudan [31]-reported only P. falciparum infection, while seven of the articles in Brazil [15,32,33], Venezuela [34], Republic of Korea [4], Turkey [35], and Ghana [36] reported only P. vivax infection. P. ovale infection was described only in three studies conducted in France [37], Thailand [6], and South Africa [38].…”
Section: General Characteristics Of Included Studiesmentioning
confidence: 99%
“…All articles were published between 1997 and 2019 (Fig 1). Six studies reported 224 cases of severe malaria in their publications [7,27,30,31,36,38]. Most of the severe complications in the studies were severe anemia (21.9%, 49/224), cerebral malaria (13.8%, 31/224), hyperparasitemia (9.8%, 22/224), repeated convulsions (8%, 18/224), more than one complication (3.6%, 8/224), hypotension (3.1%, 7/224), jaundice (2.7%, 6/224), hypoglycemia (1.8%, 4/224), and prostration (0.4%, 1/224).…”
Section: General Characteristics Of Included Studiesmentioning
confidence: 99%
“…Most of the leukocyte counts in the 29 studies were obtained using hematology analyzers from different manufacturers. Six studies used a Sysmex [15,31,36,38,41,43]. Three studies used a Cell-Dyn [4,5,7].…”
Background Leukocyte alterations are a common hematological alteration among malaria patients. Objectives This systematic review and meta-analysis aimed to provide data and evidence comparing alterations in total leukocyte counts in malaria patients compared to febrile/healthy subjects at baseline before treatment. A systematic review was conducted by following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement for reporting systematic reviews and meta-analyses. Data sources Web of Science (ISI), Scopus, and Medline. Study eligibility criteria, participants, and interventions All published articles reporting a total leukocyte count of patients infected with malaria, nonmalaria (febrile or healthy group) at baseline before treatment before August 27, 2019, were retrieved, and data were extracted by two main reviewers independently. Study appraisal and synthesis methods We used a forest plot, heterogeneity test (Cochran's Q), and the degree of heterogeneity (I 2) to test whether the included studies were heterogeneous. The quality of the included studies was determined by a quality assessment guide based on the quality assessment tool developed by the Newcastle-Ottawa Scale (NOS). Cochran's Q (Chi-square) and Moran's I 2 were used to evaluate heterogeneity. Meta-regression using STATA software was conducted to find the source of heterogeneity. A funnel plot with Egger's test was used to examine the significance of publication bias among the included studies. The mean differences were estimated using a random-effects model.
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