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Categories: Public Health

P-50 Malaria matrix: exploring hematological and biochemical trends presented by malaria patients tested in Region Four of Guyana

Author(s): L Narine, N Kench, A Anderson
Type Of Study:
  • Quantitative
Country(ies) Of Focus:
  • Guyana
Year of Presentation: 2025

Abstract

Objective: The primary objective of this study was to investigate the hematological and biochemical profiles of individuals in Region Four, Guyana, diagnosed with malaria and compare them to malaria-free individuals. The aim was to assess how malaria and its severity impact key physiological parameters, providing insights for more effective management and treatment programs.

Methods: 110 individuals were included in a prospective cohort study; 22 of them tested positive for malaria, while 88 were found to be free of the infection . The Vector Control Unit in Region Four was used to find volunteers from July through August 2024. Evaluations were conducted on hematological and biochemical markers using the hematological and biochemical analyzers, venous blood samples were drawn and examined. At a p-value threshold of < 0.05, statistical significance was established.

Results: Significant differences were observed between the malaria-positive and malaria-free groups in several key parameters. Malaria patients demonstrated notable decreases in hemoglobin (p < 0.0012), hematocrit (p < 0.0017), platelet count (p < 0.0001), and increases in creatinine (p < 0.0207), and direct bilirubin (p < 0.0006) levels. The study also found a strong association between malaria severity and changes in liver enzyme levels, particularly alkaline phosphatase, direct bilirubin, and platelet counts. These findings suggest that malaria significantly impacts the hematological and biochemical profiles of infected individuals.

Conclusion: This research validates the observation that malaria substantially modifies hematological and biochemical markers in afflicted persons. Changes in liver enzyme levels and platelet counts were closely correlated with the severity of the illness. To better understand these correlations and to improve the methods for diagnosing and treating malaria in endemic areas, more studies with a larger sample size is clearly necessary

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