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MHR和NLR对溃疡性结肠炎疾病活动的预测价值

Predictive Value of MHR and NLR for Ulcerative Colitis Disease Activity.

作者信息

Liu Tian, Qin Zhenkun, Yang Zhiyue, Feng Xiaoling

机构信息

Division of General Practice, The Fifth Affiliated Hospital of Xinjiang Medical University, Urumqi, People's Republic of China.

出版信息

Int J Gen Med. 2024 Feb 27;17:685-692. doi: 10.2147/IJGM.S446723. eCollection 2024.

Abstract

BACKGROUND

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.

PATIENTS AND METHODS

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.

RESULTS

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.

CONCLUSION

NLR and MHR are simple yet effective biological predictors of disease activity in UC patients.

摘要

背景

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。

患者与方法

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。

结果

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%)。

结论

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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/271e/10908246/4f92f417ff5f/IJGM-17-685-g0001.jpg

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