Freire Bruno, Sohn Alessandra Marques, Rojas-Humpire Ricardo, Huancahuire-Vega Salomon
School of Medicine, Faculty of Health Sciences, Universidad Peruana Unión (UPeU), Lima 15464, Peru.
General Directorate of Research, Universidad Peruana Unión (UPeU), Lima 15464, Peru.
Children (Basel). 2024 Nov 23;11(12):1416. doi: 10.3390/children11121416.
This study aims to determine the association between anthropometric values and laboratory tests with parasitosis diagnosis and identify diagnostic models for parasitosis without relying on copro-parasitological examinations.
Data were collected from 1894 children aged 0-14 who attended a medical center for low-income children in Lima, Peru, between 2021 and 2022. Anthropometric data (BMI, weight, height), laboratory data (red blood cells, hemoglobin, platelets, hematocrit, mean corpuscular volume, mean corpuscular hemoglobin, eosinophils), and parasitological examination results were analyzed. Prevalence ratios for the association between parasitosis and each anthropometric and laboratory variable were estimated using multivariable Poisson regression. Regression models were developed for each type of parasite found, and the diagnostic value was assessed using ROC curves.
A high prevalence of parasitosis was identified (41.9%), including (29.1%), (7.76%), (5.97%), (6.44%), and (1.85%). It was found that the male sex (PRa 1.18), the age group of 2-5 years (PRa 4.83) and >5 years (PRa 4.59), the percentage of eosinophils (PRa 1.02 for every 1% increase), and height/age with -5 SD (PRa 1.34) were associated with a greater risk of parasitosis. Satisfactory values were only shown for diagnostic models and BMI, with a diagnostic value of 70.9% and 70.2% for a BMI < 12 and hematocrit > 29.8%, and BMI < 12 and hemoglobin < 10.6 g/L, respectively.
Satisfactory diagnostic value models were only found for parasitosis by , suggesting the potential for reducing reliance on copro-parasitological exams in resource-limited settings.
本研究旨在确定人体测量值和实验室检查与寄生虫病诊断之间的关联，并确定不依赖粪便寄生虫学检查的寄生虫病诊断模型。
收集了2021年至2022年间在秘鲁利马一家低收入儿童医疗中心就诊的1894名0至14岁儿童的数据。分析了人体测量数据（体重指数、体重、身高）、实验室数据（红细胞、血红蛋白、血小板、血细胞比容、平均红细胞体积、平均红细胞血红蛋白、嗜酸性粒细胞）和寄生虫学检查结果。使用多变量泊松回归估计寄生虫病与每个人体测量和实验室变量之间关联的患病率比。针对每种发现的寄生虫类型建立回归模型，并使用ROC曲线评估诊断价值。
确定寄生虫病的患病率很高（41.9%），包括（29.1%）、（7.76%）、（5.97%）、（6.44%）和（1.85%）。发现男性（PRa 1.18）、2至5岁年龄组（PRa 4.83）和>5岁年龄组（PRa 4.59）、嗜酸性粒细胞百分比（每增加1%，PRa 1.02）以及身高/年龄低于-5标准差（PRa 1.34）与寄生虫病风险较高相关。仅诊断模型和体重指数显示出令人满意的值，体重指数<12且血细胞比容>29.8%以及体重指数<12且血红蛋白<10.6 g/L时，诊断价值分别为70.9%和70.2%。
仅发现针对寄生虫病的令人满意的诊断价值模型，这表明在资源有限的环境中减少对粪便寄生虫学检查依赖的潜力。
