International Centre of Insect Physiology and Ecology (icipe), P.O. Box 30772-00100, Nairobi, Kenya.
Department of Zoology and Entomology, University of Pretoria, Private Bag 20, Pretoria, 0028, South Africa.
Malar J. 2022 Sep 17;21(1):268. doi: 10.1186/s12936-022-04287-3.
In sub-Saharan Africa, malaria is the common diagnosis for febrile illness and related clinical features, resulting in the under-diagnosis of other aetiologies, such as arboviruses and Rickettsia. While these may not be significant causes of mortality in malaria-endemic areas, they affect the daily life and performance of affected individuals. It is, therefore, important to have a clear picture of these other aetiologies to institute correct diagnoses at hospitals and improve patient outcomes.
Blood samples were collected from patients with fever and other clinical features associated with febrile illness at selected hospitals in the malaria-endemic counties of Busia, Bungoma, and Kakamega, and screened for Crimean-Congo haemorrhagic fever, Sindbis, dengue and chikungunya viruses, Rickettsia africae, and Plasmodium spp. using high-throughput real-time PCR techniques. A logistic regression was performed on the results to explore the effect of demographic and socio-economic independent variables on malaria infection.
A total of 336 blood samples collected from hospital patients between January 2018 and February 2019 were screened, of which 17.6% (59/336) were positive for Plasmodium falciparum and 1.5% (5/336) for Plasmodium malariae. Two patients had dual P. falciparum/P. malariae infections. The most common clinical features reported by the patients who tested positive for malaria were fever and headache. None of the patients were positive for the arboviruses of interest or R. africae. Patients living in Busia (OR 5.2; 95% CI 2.46-11.79; p < 0.001) and Bungoma counties (OR 2.7; 95% CI 1.27-6.16; p = 0.013) had higher odds of being infected with malaria, compared to those living in Kakamega County.
The reported malaria prevalence is in line with previous studies. The absence of arboviral and R. africae cases in this study may have been due to the limited number of samples screened, low-level circulation of arboviruses during inter-epidemic periods, and/or the use of PCR alone as a detection method. Other sero-surveys confirming their circulation in the area indicate that further investigations are warranted.
在撒哈拉以南非洲地区,疟疾是发热性疾病的常见诊断,相关临床特征导致其他病因(如虫媒病毒和立克次体)漏诊。虽然这些在疟疾流行地区可能不是重要的死亡原因,但它们会影响受影响个体的日常生活和表现。因此,清楚了解这些其他病因对于医院进行正确诊断和改善患者预后非常重要。
在布西亚、邦戈马和卡卡梅加疟疾流行县的选定医院,从发热和其他与发热性疾病相关的临床特征的患者中采集血液样本,并使用高通量实时 PCR 技术检测克里米亚-刚果出血热、辛德毕斯、登革热和基孔肯雅热病毒、非洲立克次体和疟原虫属。对结果进行逻辑回归,以探讨人口统计学和社会经济独立变量对疟疾感染的影响。
共筛查了 2018 年 1 月至 2019 年 2 月期间从医院患者采集的 336 份血样,其中 17.6%(59/336)为恶性疟原虫阳性,1.5%(5/336)为间日疟原虫阳性。两名患者存在恶性疟原虫/间日疟原虫双重感染。疟疾检测阳性患者报告的最常见临床特征是发热和头痛。没有患者对感兴趣的虫媒病毒或非洲立克次体呈阳性。与居住在卡卡梅加县的患者相比,居住在布西亚县(OR 5.2;95%CI 2.46-11.79;p<0.001)和邦戈马县(OR 2.7;95%CI 1.27-6.16;p=0.013)的患者感染疟疾的可能性更高。
报告的疟疾流行率与之前的研究相符。本研究中未发现虫媒病毒和非洲立克次体病例可能是由于筛查的样本数量有限、流行期间虫媒病毒的低水平循环,以及/或单独使用 PCR 作为检测方法。其他血清学调查证实它们在该地区的传播表明需要进一步调查。