The use of systemic immune inflammatory index as a predictor for nematodes infections in horses

IF 2.4 Q3 INFECTIOUS DISEASES

Parasite Epidemiology and Control Pub Date : 2025-08-01 DOI:10.1016/j.parepi.2025.e00453

Falmata Kyari , Cephas Joseph Pogu , Ismaila Alhaji Mairiga , Lawan Adamu

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引用次数: 0

Abstract

Background

Nematode infections are a significant health concern in horses, causing a range of clinical signs and economic losses. Early detection and diagnosis are crucial for effective treatment and management.

Objectives

Examining the application of the systemic immune Inflammatory index (SII) as a predictor for nematode infections in horses, using platelets count, leucocytes count, and neutrophils count.

Methods

A cross-sectional study was conducted on 164 horses, consisting of 66 horses with nematode infections and 98 horses without infections. The SII was computed using the platelets count, leucocytes count, and neutrophils count. Receiver operating characteristic (ROC) curve analysis was used to evaluate the SII's diagnostic accuracy.

Results

Nematode infections were severe in horses with mixed infections, with an average of 1805.90 ± 292.68 eggs per gram (epg). Notably, among specific species, Cyathostomum spp., exhibited a significantly different average of 2264.29 ± 132.61epg compared to other nematodes. There is a significant negative correlations between the systemic immune-inflammatory index (SII) and the Eggs per gram count for nematodes infections at (r = −0.6023; P < .0001). The SII values were significantly lower (0.06) in horses with nematode infections compared to those without infections (0.19) at p < .001. With an area under the ROC curve (AUC) of 0.990, the SII demonstrated exceptional diagnostic precision. For the SII, the ideal cut-off value is ≤0.108, with a sensitivity of 98.5 % and a specificity of 100 %. The ROC curve was validated using the Youden index (J) with a higher value of 0.9848 indicating better performance.

Conclusion

The study demonstrated that the SII is a reliable predictor for nematode infections in horses, using platelets count, leucocytes count, and neutrophils count. The SII is a non-invasive, reasonably priced method for identifying and diagnosing nematode infections in horses.

查看原文本刊更多论文

使用全身免疫炎症指数作为马线虫感染的预测因子

线虫感染是马的一个重大健康问题，可引起一系列临床症状和经济损失。早期发现和诊断对于有效治疗和管理至关重要。目的探讨全身免疫炎症指数（SII）作为马线虫感染预测指标的应用，包括血小板计数、白细胞计数和中性粒细胞计数。方法对164匹马进行横断面研究，其中66匹马感染线虫病，98匹马未感染线虫病。SII通过血小板计数、白细胞计数和中性粒细胞计数来计算。采用受试者工作特征（ROC）曲线分析评价SII的诊断准确性。结果混合感染马的线虫感染较为严重，平均每克（epg）有1805.90±292.68个卵。在特定种类中，Cyathostomum spp.的平均值为2264.29±132.61epg，显著高于其他线虫。全身免疫炎症指数（SII）与线虫感染的每克卵数呈显著负相关(r = - 0.6023；P & lt;。)。感染线虫马的SII值（0.06）显著低于未感染线虫马的SII值（0.19）。措施。SII的ROC曲线下面积（AUC）为0.990，显示出卓越的诊断精度。SII的理想临界值≤0.108，灵敏度为98.5%，特异性为100%。采用约登指数(J)对ROC曲线进行验证，0.9848越高表示性能越好。结论研究表明，通过血小板计数、白细胞计数和中性粒细胞计数，SII是马线虫感染的可靠预测因子。SII是一种非侵入性，价格合理的方法，用于识别和诊断马的线虫感染。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Parasite Epidemiology and Control Medicine-Infectious Diseases

CiteScore

5.70

自引率

3.10%

发文量

审稿时长

17 weeks

期刊介绍： Parasite Epidemiology and Control is an Open Access journal. There is an increasing amount of research in the parasitology area that analyses the patterns, causes, and effects of health and disease conditions in defined populations. This epidemiology of parasite infectious diseases is predominantly studied in human populations but also spans other major hosts of parasitic infections and as such this journal will have a broad remit. We will focus on the major areas of epidemiological study including disease etiology, disease surveillance, drug resistance and geographical spread and screening, biomonitoring, and comparisons of treatment effects in clinical trials for both human and other animals. We will also look at the epidemiology and control of vector insects. The journal will also cover the use of geographic information systems (Epi-GIS) for epidemiological surveillance which is a rapidly growing area of research in infectious diseases. Molecular epidemiological approaches are also particularly encouraged.