Ullah Zahid, Khattak Aamer Ali, Aziz Nighat, Shafi Ruqqia, Khan Hassan, Bano Rahila, Awan Usman Ayub
Department of Pathology, Gomal Medical College, Dera Ismail Khan, Pakistan.
Department of Medical Lab Technology, University of Haripur, Pakistan.
J Pak Med Assoc. 2020 Oct;70(10):1830-1833. doi: 10.5455/JPMA.15845.
Malaria is the second highest reported disease from public health sector which affects about 4 million people each year in Pakistan. The study sought to evaluate the haematological changes in malarial patients in order to find any relation of these changes with malarial pathogenesis. This cross sectional descriptive study was designed at the pathology department of Gomal Medical College, Dera Ismail Khan during March 2015 to February 2017. Blood samples were collected from 400 malaria microscopy positive in EDTA tubes for the analysis of haematological parameters like Total leucocyte count, Haemoglobin, Platelets, Mean Cell Volume, Mean Cell Haemoglobin and Mean Cell Haemoglobin Concentration. Out of the 400 cases of malaria, 366 (91.5%) were Plasmodium vivax, 24 (6.0%) were Plasmodium falciparum and 10 (2.5%) were co-infection of Plasmodium vivax and Plasmodium falciparum infection. Anaemia was seen in 148 (37%) of cases; thrombocytopenia was 316(79%) and 60 (15%) cases had leucopenia. This study shows that malarial patients exhibited important changes in haematological parameters like thrombocytopenia; anaemia and leucopenia are significant predictors of malaria infection. When used in combination with other clinical and microscopy methods, these parameters could improve the diagnosis and treatment of malaria.
疟疾是公共卫生部门报告的第二大常见疾病，在巴基斯坦每年约有400万人受其影响。该研究旨在评估疟疾患者的血液学变化，以找出这些变化与疟疾发病机制之间的任何关联。这项横断面描述性研究于2015年3月至2017年2月在德拉伊斯梅尔汗的戈马尔医学院病理科开展。从400名疟疾显微镜检查呈阳性的患者中采集乙二胺四乙酸（EDTA）抗凝管中的血样，用于分析血液学参数，如白细胞总数、血红蛋白、血小板、平均红细胞体积、平均红细胞血红蛋白含量和平均红细胞血红蛋白浓度。在400例疟疾病例中，366例（91.5%）为间日疟原虫感染，24例（6.0%）为恶性疟原虫感染，10例（2.5%）为间日疟原虫和恶性疟原虫混合感染。148例（37%）患者出现贫血；316例（79%）出现血小板减少，60例（15%）出现白细胞减少。这项研究表明，疟疾患者的血液学参数出现了重要变化，如血小板减少；贫血和白细胞减少是疟疾感染的重要预测指标。当与其他临床和显微镜检查方法结合使用时，这些参数可以改善疟疾的诊断和治疗。
