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[白细胞计数对贝宁6至59个月儿童疟疾寄生虫密度的影响]

[Influence of white blood cells count on parasite density in Malaria in children aged 6 to 59 months in Benin].

作者信息

Baglo Tatiana, Zohoun Alban Gildas Comlan, Zohoun Lutécia, Sianou Antoine, Kindé Gazard Dorothée

机构信息

Laboratoire d'hématologie, Centre national hospitalier universitaire Hubert Koutoukou Maga (CNHU-HKM), Cotonou, Bénin.

Faculté des sciences de la santé de Cotonou, Université d'Abomey-Calavi, Bénin.

出版信息

Med Trop Sante Int. 2023 May 31;3(2). doi: 10.48327/mtsi.v3i2.2023.321. eCollection 2023 Jun 30.

Abstract

BACKGROUND

For many years, the treatment of malaria was based on clinical presumptive diagnosis, making its differential diagnosis with other causes of hyperthermia difficult. This drug pressure has led to the emergence of strains resistant to the most commonly used antimalarial drugs. This is why in 2004, the health authorities decided to revise the policy of malaria management by adopting a new strategy based on the rational use of artemisininbased combination therapies after the biological confirmation of suspected malaria cases. The biological diagnosis is an essential part of malaria management. The gold standard technique for diagnosis is the thick drop combined with the calculation of parasite density (PD), which is determined on the basis of the number of parasites counted in a microscopic field against a proposed standard number of leukocytes. The number of leukocytes used to calculate the parasite density should ideally be the actual number of leukocytes in the patient per cubic millimetre of blood. However, in the absence of the availability of a blood count at the time of the thick drop, an average number of 8 000 leukocytes/mm was used by the World Health Organisation (WHO) to estimate the parasite density. Nonetheless, in Benin the average number of leukocytes adopted by the National Malaria Control Programme (PNLP) is 6 000/mm. The aim of our study was to determine the impact of the leukocyte count on the calculation of the parasite density in cases of uncomplicated malaria.

METHOD

The study was a cross-sectional study with an analytical aim and took place in 2 hospitals in Benin, the Klouékanmey zone hospital in the south of Benin and the Djougou health centre in the north. It involved a population of 476 children aged between 6 and 59 months who were seen in consultation and in whom the clinical diagnosis of simple malaria was suspected. Children aged between 6 and 59 months, weighing at least 5 kg, with an axillary temperature ≥ 37.5°C at the time of consultation or a history of fever in the last 24 hours or other symptoms pointing to the diagnosis of malaria were included. Infestation was mono-specific for Informed consent was required from the child's parents or guardian. The criteria for non-inclusion in our study were the presence of at least one sign of malaria severity, signs of severe malnutrition or a febrile state related to underlying infectious diseases other than malaria. Thick blood count and haemogram were systematically performed in all included children. Parasite density was calculated according to 3 methods, first using a weighted leukocyte count of 6 000/mm recommended by the Benin National Malaria Control Programme (PNLP), then a leukocyte count of 8 000/mm recommended by the World Health Organisation and finally the patient's actual leukocyte count obtained from the blood count. It should be noted that these different samples were respectively taken on the day of inclusion in compliance with the conditions of the pre-analytical phase in force in our medical biology laboratory.

RESULTS

At the end of our study, 313 children, i.e. 65.76% of our study population had a positive white blood cell count with a positivity rate of 62.14% in Djougou, i.e. 174 children, and 70.9% in Klouékanmey, i.e. 139 children. The average leukocyte count in these children was 11,580/mm. Among them, 205 children had an abnormal white blood cell count, i.e. 17 cases of leukopenia (5.43%) and 188 cases of hyperleukocytosis (60.06%). Using successively the average number of 6 000 leukocytes/mm proposed by the Benin PNLP and that of 8 000 leukocytes/mm proposed by the WHO, the average parasite densities were respectively 47,943 and 63,936 trophozoïtes/µl against 92,290 trophozoïtes/µl when the real number of leukocytes of the patients was used for the calculation of the PD. By using an average of 6 000 leukocytes/mm for PD calculation, 60% of the calculated PDs were underestimated and 6% were overestimated. Using an average of 8 000 leukocytes/mm resulted in 49% of PD being underestimated and 15% being overestimated. The difference between the three calculation methods was considered statistically significant (p value <0.05).

CONCLUSION

The use of 6 000 or 8 000 coefficients for the estimation of parasitaemia could lead to a significant underestimation of the parasite load.

摘要

背景

多年来,疟疾的治疗基于临床推定诊断,这使得其与其他发热原因的鉴别诊断变得困难。这种药物压力导致了对最常用抗疟药物产生耐药性的菌株出现。这就是为什么在2004年,卫生当局决定修订疟疾管理政策,在对疑似疟疾病例进行生物学确认后,采用基于合理使用青蒿素联合疗法的新策略。生物学诊断是疟疾管理的重要组成部分。诊断的金标准技术是厚血滴涂片结合寄生虫密度(PD)计算,寄生虫密度是根据在显微镜视野中计数的寄生虫数量与建议的白细胞标准数量计算得出的。用于计算寄生虫密度的白细胞数量理想情况下应该是患者每立方毫米血液中实际的白细胞数量。然而,在进行厚血滴涂片时若无法获得血常规结果,世界卫生组织(WHO)使用平均8000个白细胞/mm来估算寄生虫密度。尽管如此,在贝宁,国家疟疾控制项目(PNLP)采用的白细胞平均数量是6000/mm。我们研究的目的是确定白细胞计数对非复杂性疟疾病例中寄生虫密度计算的影响。

方法

该研究是一项具有分析目的的横断面研究,在贝宁的2家医院进行,即贝宁南部的克鲁埃卡梅区医院和北部的朱古卫生中心。研究对象为476名年龄在6至59个月之间前来就诊且临床怀疑为单纯性疟疾的儿童。纳入标准为年龄在6至59个月之间、体重至少5 kg、就诊时腋温≥37.5°C或在过去24小时内有发热史或有其他指向疟疾诊断的症状。感染为单一特异性。需要获得儿童父母或监护人签署的知情同意书。我们研究中不纳入的标准是存在至少一项疟疾严重程度的体征、严重营养不良的体征或与除疟疾以外的潜在传染病相关的发热状态。对所有纳入的儿童均系统地进行厚血涂片计数和血常规检查。寄生虫密度通过3种方法计算,首先使用贝宁国家疟疾控制项目(PNLP)推荐的6000/mm加权白细胞计数,然后使用世界卫生组织推荐的8000/mm白细胞计数,最后使用从血常规检查中获得的患者实际白细胞计数。需要注意的是,这些不同的样本分别在纳入当天采集,符合我们医学生物学实验室现行的分析前阶段条件。

结果

在我们的研究结束时,313名儿童,即我们研究人群的65.76%白细胞计数呈阳性,其中朱古的阳性率为62.14%,即174名儿童,克鲁埃卡梅的阳性率为70.9%,即139名儿童。这些儿童的平均白细胞计数为11580/mm。其中,205名儿童白细胞计数异常,即17例白细胞减少(5.43%)和188例白细胞增多(60.06%)。依次使用贝宁PNLP提出的6000/mm平均白细胞数量和世界卫生组织提出的8000/mm平均白细胞数量,平均寄生虫密度分别为47943和63936个滋养体/微升,而当使用患者的实际白细胞数量计算寄生虫密度时为92290个滋养体/微升。通过使用平均6000/mm白细胞数量计算寄生虫密度,60%的计算结果被低估,6%被高估。使用平均8000/mm白细胞数量计算,49%的寄生虫密度被低估,15%被高估。三种计算方法之间的差异被认为具有统计学意义(p值<0.05)。

结论

使用6000或8000的系数来估算疟原虫血症可能会导致对寄生虫载量的显著低估。

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