古巴维拉克拉拉地区成色菌病的病原学诊断及与气象站气候变量的相关性

Dianiley García Gómez, Ricardo Osés Rodríguez, Daniel Artiles Martínez, M. Teresa, Illnait Zaragozí, David del Valle Laveaga, H. G. Garces, R. F. Duarte
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引用次数: 0

摘要

在维拉克拉拉省,古巴,微生物和气候条件共存的发展感染性实体嗜色菌病。此外,暴露于感染这种感染的农业和手工业工人的比例很高。研究的目的在于描述成色菌病的病原学诊断,并将其与位于维拉克拉拉的气象站的平均气候变量进行关联。在2018-2022年期间,对25名通过解剖病理学和微生物学研究诊断为成色菌病的患者进行了一项描述性横断面研究。绝对频率被用作汇总度量,并用于与五个气象站的气候数据的相关性,推断统计。在所有患者中,92%的患者通过解剖病理学检查诊断,只有2/8%的患者进行了真菌学研究,其中分离到了Fonsecaea pedrosoi。平均气温(p=0.045)、平均预测风(p=0.028)与病例数呈显著相关。相对空气湿度则不是这样(p>0.05)。结果表明,在维拉克拉拉省,在研究期间,只有病原F. pedrosoi是该疾病的病因,该疾病与平均气候变量、平均温度和平均预测风有显著关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Etiological Diagnosis and Correlation of Chromoblastomycosis with Climatic Variables of Weather Stations in Villa Clara, Cuba
In Villa Clara province, Cuba, microorganisms and climatic conditions coexist for the development of the infectious entity chromoblastomycosis. Besides, there is a high percentage of agricultural and handicraft workers exposed to acquiring this infection. The objective of the research consisted in describing the etiological diagnosis and correlating chromoblastomycosis with average climatic variables of the meteorological stations located in Villa Clara. Between 2018-2022, a descriptive, cross-sectional study was conducted in a population of 25 patients diagnosed with chromoblastomycosis by anatomopathological and microbiological studies. Absolute frequencies were used as a summary measure, and for correlation with climatic data from the five meteorological stations, inferential statistics. Of the total number of patients, 92% were diagnosed by anatomopathological studies and only 2/8% had mycological studies, in which the species Fonsecaea pedrosoi was isolated. There was a significant correlation between mean temperature (p=0.045) and mean predicted wind (p=0.028) and the number of cases. This was not the case with relative air humidity (p>0.05). It is concluded that in Villa Clara province, only the etiological agent F. pedrosoi was the cause of the disease during the period studied, with a significant relationship between the disease and the average climatic variables mean temperature and mean predicted wind.
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