Gomes Luciano Teixeira, Morato-Conceição Yvelise Terezinha, Gambati Ana Vitória Mota, Maciel-Pereira Carolina Mira, Fontes Cor Jesus Fernandes
Júlio Müller University Hospital, Department of Infectious Diseases, Faculty of Medicine, Federal University of Mato Grosso, Cuiabá, Mato Grosso, Brazil.
Faculty of Biomedical Sciences of Cacoal, Cacoal, Rondonia, Brazil.
Heliyon. 2020 Feb 13;6(2):e03369. doi: 10.1016/j.heliyon.2020.e03369. eCollection 2020 Feb.
Leprosy reactions, classified as type 1 and type 2 reactions, are acute clinical conditions of exacerbation of localized or systemic inflammatory response inpatients with leprosy. No laboratory biomarker is available to predict the emergence of these reactions. Neutrophil-to-lymphocyte ratio (NLR) is an accurate biomarker for diagnosis and prognosis of various inflammatory and neoplastic diseases.
This study aimed to investigate the accuracy of the NLR in the diagnosis of leprosy reactions.
NLR was calculated for all patients and a receiver operating characteristic curve (ROC) were generated to identify the NLR cut-off point.
A total of 123 patients with leprosy were included, 98 with leprosy reactions of which 56 (45.5%) had type 1 and 42 (34.1%) with type 2. Mean NLR was higher among patients with reactions than among those without. It was also statistically higher among patients with type 2 reactions than in those with type 1 reactions. Receiver operating characteristic curves were generated to identify the NLR cut-off point. The area under the ROC curve was 0.794 for diagnosis of any leprosy reaction and 0.796 for the diagnosis of type 2 reaction. The NLR cut-off points for diagnosis of any leprosy reaction and for type 2 reaction were 2.75 (sensitivity 61.0%, specificity 92.0%, accuracy 77.0%) and 2.95 (sensitivity 81.0%, specificity 74.0%, accuracy 78.0%), respectively.
These results suggest that NLR could be a potential biomarker for diagnosis of leprosy reaction and useful for discriminating patients with type 2 reactions from those with type 1 leprosy reactions.
麻风反应分为1型和2型反应,是麻风患者局部或全身炎症反应加重的急性临床病症。目前尚无实验室生物标志物可预测这些反应的出现。中性粒细胞与淋巴细胞比值(NLR)是诊断和预测各种炎症性和肿瘤性疾病的准确生物标志物。
本研究旨在探讨NLR在麻风反应诊断中的准确性。
计算所有患者的NLR,并绘制受试者工作特征曲线(ROC)以确定NLR的截断点。
共纳入123例麻风患者,其中98例有麻风反应,其中56例(45.5%)为1型反应,42例(34.1%)为2型反应。有反应的患者平均NLR高于无反应的患者。2型反应患者的NLR在统计学上也高于1型反应患者。绘制ROC曲线以确定NLR的截断点。诊断任何麻风反应的ROC曲线下面积为0.794,诊断2型反应的ROC曲线下面积为0.796。诊断任何麻风反应和2型反应的NLR截断点分别为2.75(灵敏度61.0%,特异性92.0%,准确性77.0%)和2.95(灵敏度81.0%,特异性74.0%,准确性78.0%)。
这些结果表明,NLR可能是诊断麻风反应的潜在生物标志物,有助于区分2型反应患者和1型麻风反应患者。