Mapping the geographical distribution of podoconiosis in Cameroon using parasitological, serological, and clinical evidence to exclude other causes of lymphedema.

Mapping the geographical distribution of podoconiosis in Cameroon using parasitological, serological, and clinical evidence to exclude other causes of lymphedema.
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DOI:
10.1371/journal.pntd.0006126
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发表时间:
2018-01
影响因子:
3.8
通讯作者:
Davey G
Davey G
中科院分区:
医学2区
文献类型:
--
作者:
Deribe K;Beng AA;Cano J;Njouendo AJ;Fru-Cho J;Awah AR;Eyong ME;Chounna Ndongmo PW;Giorgi E;Pigott DM;Golding N;Pullan RL;Noor AM;Enquselassie F;Murray CJL;Brooker SJ;Hay SI;Enyong P;Newport MJ;Wanji S;Davey G

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足尘病是一种非丝虫性象皮病,会导致小腿严重肿胀。2011年,世卫组织将其确定为被忽视的热带疾病。对这种疾病的地理分布的了解是不完整的。这项研究是在喀麦隆进行的,目的是绘制该病的分布图,作为全球足尘病分布图的一部分。这项绘图工作将有助于生成喀麦隆足尘病地理分布数据,并有助于编制全球足尘病地图集。我们采用了多阶段抽样设计,根据足尘病的环境风险对国家进行分层。我们对喀麦隆10个地区40个卫生区的76个村庄进行了抽样调查。对村里所有15岁或15岁以上的人进行了挨家挨户的调查,并对水肿进行了筛查。临床算法被用来可靠地诊断足尘病,不包括丝虫相关性水肿。除厚血膜外,还分别使用Alere丝虫病试纸(FTS)检测和Standard Diagnostics(SD)BIOLINE淋巴丝虫病IgG 4检测(Wb 123)检测淋巴水肿个体的循环班氏丝虫抗原和特异性IgG 4。存在对W.使用qPCR技术在夜间血液上检查班氏。共有来自4,603个家庭的10,178人参与了这项研究。总共确定了83名水肿患者。在83例水肿患者中,发现2例FTS阳性,所有患者均采用Wb 123检测呈阴性。未发现W.在任何患有临床水肿的个体的夜间血液中发现了班克罗夫特。未发现W阳性。bancrofti,使用qPCR。在两例FTS阳性病例中,一例为持久曼氏菌DNA阳性,另一例为Loa loa微丝蚴阳性。总体而言,在应用临床算法后确定了52名患有足尘病的人。足尘病的总体患病率为0.5%(95% [置信区间] CI; 0.4-0.7)。除阿达马瓦的两个被调查村庄外,喀麦隆每个地区都至少发现一例足尘病。在调查的40个卫生区中,17个区没有足尘病病例; 15个区的平均患病率在0.2%至1.0%之间;其余8个区的平均患病率在1.2%至2.7%之间。我们的调查表明,在喀麦隆,足尘病的患病率很低,但几乎在全国范围内分布。设计一个足尘病控制计划是至关重要的下一步。通过病例监测和发病率管理服务,卫生系统应对足尘病的负担是重要的。足尘病是一种地球化学上被忽视的热带疾病,它会导致小腿和脚的大面积肿胀。虽然足尘病是世界范围内小腿肿胀的主要原因之一,但对该病的地理分布的了解并不完全。在喀麦隆,几乎没有进行过研究,这些研究表明,这种疾病的分布是不同的,而且是局部的。我们进行了这项全国范围的测绘调查,以确定在喀麦隆的足尘病的患病率和空间分布。我们在喀麦隆进行了全国范围的足尘病测绘,调查了76个社区4,603户家庭的10,178人。在调查过程中,患有水肿的个体接受了快速形式的抗原抗体测试,以及用于显微镜检查的厚血膜(TBF),作为检测W的确认工具。班氏微丝蚴。外周夜血和寄生虫DNA检测排除淋巴丝虫病,并进行临床病史和体格检查以诊断足尘病。足尘病的总患病率为0.5%。在喀麦隆的每个地区都至少发现了一例足尘病,但阿达马瓦除外,在阿达马瓦的两个被调查村庄中没有发现足尘病病例。我们的调查表明,在喀麦隆,足尘病的患病率很低,但几乎在全国范围内分布。设计一个足尘病控制计划是至关重要的下一步。通过病例监测和发病率管理服务,卫生系统应对足尘病的负担是重要的。
Podoconiosis is a non-filarial elephantiasis, which causes massive swelling of the lower legs. It was identified as a neglected tropical disease by WHO in 2011. Understanding of the geographical distribution of the disease is incomplete. As part of a global mapping of podoconiosis, this study was conducted in Cameroon to map the distribution of the disease. This mapping work will help to generate data on the geographical distribution of podoconiosis in Cameroon and contribute to the global atlas of podoconiosis. We used a multi‐stage sampling design with stratification of the country by environmental risk of podoconiosis. We sampled 76 villages from 40 health districts from the ten Regions of Cameroon. All individuals of 15-years old or older in the village were surveyed house-to-house and screened for lymphedema. A clinical algorithm was used to reliably diagnose podoconiosis, excluding filarial-associated lymphedema. Individuals with lymphoedema were tested for circulating Wuchereria bancrofti antigen and specific IgG4 using the Alere Filariasis Test Strips (FTS) test and the Standard Diagnostics (SD) BIOLINE lymphatic filariasis IgG4 test (Wb123) respectively, in addition to thick blood films. Presence of DNA specific to W. bancrofti was checked on night blood using a qPCR technique. Overall, 10,178 individuals from 4,603 households participated in the study. In total, 83 individuals with lymphedema were identified. Of the 83 individuals with lymphedema, two were found to be FTS positive and all were negative using the Wb123 test. No microfilaria of W. bancrofti were found in the night blood of any individual with clinical lymphedema. None were found to be positive for W. bancrofti using qPCR. Of the two FTS positive cases, one was positive for Mansonella perstans DNA, while the other harbored Loa loa microfilaria. Overall, 52 people with podoconiosis were identified after applying the clinical algorithm. The overall prevalence of podoconiosis was found to be 0.5% (95% [confidence interval] CI; 0.4–0.7). At least one case of podoconiosis was found in every region of Cameroon except the two surveyed villages in Adamawa. Of the 40 health districts surveyed, 17 districts had no cases of podoconiosis; in 15 districts, mean prevalence was between 0.2% and 1.0%; and in the remaining eight, mean prevalence was between 1.2% and 2.7%. Our investigation has demonstrated low prevalence but almost nationwide distribution of podoconiosis in Cameroon. Designing a podoconiosis control program is a vital next step. A health system response to the burden of podoconiosis is important, through case surveillance and morbidity management services. Podoconiosis is a geochemical neglected tropical disease, which causes massive swelling of the lower legs and feet. Although podoconiosis is one of the major causes of lower leg swelling worldwide, understanding of the geographical distribution of the disease is incomplete. In Cameroon, few studies have been conducted, and these have indicated varied and localized distribution of the disease. We conducted this countrywide mapping survey to determine the prevalence and spatial distribution of podoconiosis in Cameroon. We undertook nationwide mapping of podoconiosis in Cameroon by surveying 10,178 individuals from 4,603 households, in 76 communities. During the survey, individuals with lymphedema underwent a rapid-format antigen antibody test, and a thick blood film (TBF) for microscopic examination, as a confirmatory tool for detecting W. bancrofti micro filarial. Peripheral night blood and parasite DNA detection was used to exclude lymphatic filariasis, and a clinical history and physical examination was conducted to diagnosis podoconiosis. The overall prevalence of podoconiosis was found to be 0.5%. At least one case of podoconiosis was found in every region of Cameroon except Adamawa, where in the two surveyed villages no cases of podoconiosis were identified. Our investigation has demonstrated low prevalence but almost nationwide distribution of podoconiosis in Cameroon. Designing a podoconiosis control program is a vital next step. A health system response to the burden of podoconiosis is important, through case surveillance and morbidity management services.
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发表时间: 2015-10-01
影响因子: 11.1
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通讯作者: Davey G
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发表时间: 2011-06
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