Liu Tian, Qin Zhenkun, Yang Zhiyue, Feng Xiaoling
Division of General Practice, The Fifth Affiliated Hospital of Xinjiang Medical University, Urumqi, People's Republic of China.
Int J Gen Med. 2024 Feb 27;17:685-692. doi: 10.2147/IJGM.S446723. eCollection 2024.
Numerous non-invasive serologic tests are available to diagnose and monitor ulcerative colitis (UC), but their accuracy levels are limited. Thus, there is a pressing need for a serologic biomarker with higher precision for clinical practice. This study aims to evaluate the predictive capacity of monocyte/HDL ratio (MHR) and neutrophil/lymphocyte ratio (NLR) for UC disease activity.
We conducted a retrospective analysis of 81 UC patients and 77 age- and sex-matched healthy controls. UC patients were categorized into active and inactive groups based on the Mayo score. The Mayo endoscopic subscore classified them into mild-to-moderate and severe UC groups.
The optimal cut-off values for diagnosing UC were 0.34 for MHR (85.7% sensitivity, 76.0% specificity, 88.9% positive predictive value, 70.4% negative predictive value) and 2.49 for NLR (66.1% sensitivity, 88.0% specificity, 92.5% positive predictive value, 53.7% negative predictive value). The optimal MHR and NLR cut-off values to differentiate between mild-to-moderate UC and severe UC were 0.38 (92.9% sensitivity, 56.6% specificity, 53.1% positive predictive value, 93.7% negative predictive value) and 3.46 (71.4% sensitivity, 88.7% specificity, 76.9% positive predictive value, 85.5% negative predictive value), respectively.
NLR and MHR are simple yet effective biological predictors of disease activity in UC patients.
有多种非侵入性血清学检测方法可用于诊断和监测溃疡性结肠炎(UC),但其准确性有限。因此,临床实践迫切需要一种精度更高的血清学生物标志物。本研究旨在评估单核细胞/高密度脂蛋白比值(MHR)和中性粒细胞/淋巴细胞比值(NLR)对UC疾病活动度的预测能力。
我们对81例UC患者和77例年龄及性别匹配的健康对照者进行了回顾性分析。根据梅奥评分将UC患者分为活动组和非活动组。梅奥内镜亚评分将他们分为轻至中度UC组和重度UC组。
诊断UC的MHR最佳截断值为0.34(灵敏度85.7%,特异度76.0%,阳性预测值88.9%,阴性预测值70.4%),NLR最佳截断值为2.49(灵敏度66.1%,特异度88.0%,阳性预测值92.5%,阴性预测值53.7%)。区分轻至中度UC和重度UC的MHR和NLR最佳截断值分别为0.38(灵敏度92.9%,特异度56.6%,阳性预测值53.1%,阴性预测值93.7%)和3.46(灵敏度71.4%,特异度88.7%,阳性预测值76.9%,阴性预测值85.5%)。
NLR和MHR是UC患者疾病活动度简单而有效的生物学预测指标。