Abstract

Objective To analyze the value of neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and lymphocyte-monocyte ratio (LMR) in the evaluation of disease activity and efficacy in patients with rheumatoid arthritis (RA). Methods The clinical data of 132 newly diagnosed RA patients admitted to our hospital from November 2018 to January 2020 were retrospectively analyzed, and the NLR, PLR, and LMR were calculated. According to the 28-joint disease activity score (DAS28), all patients was divided into the remission group (n = 40) and the active group (n = 92). According to the curative effect of the active group, the patients were divided into the effective group (n = 61) and the ineffective group (n = 39). Logistic regression analysis of clinical data was to determine the influencing factors of RA disease activity. The receiver operating characteristic curve (ROC) was used to evaluate the predictive value of NLR, PLR, and LMR on disease activity and efficacy of RA. Results The number of cases of smoking history, the number of cases of drinking history, and NLR, PLR, CRP, and ESR levels of patients in the active group were higher than those of the remission group, and the LMR level was lower than that of the remission group; the differences were statistically significant (P < 0.05). The results of multivariate logistic regression analysis showed that NLR, PLR, LMR, CRP, and ESR were independent influencing factors of disease activity in RA patients (P < 0.05). The AUC of NLR, PLR, and LMR on the disease activity of RA patients was 0.872, 0.821, and 0.824, the sensitivity was 87.6%, 70.2%, and 69.3%, and the specificity was 75.6%, 76.8%, and 84.3%, respectively. The NLR and PLR values of the effective group were lower than those of the ineffective group, and the LMR values were higher than those of the ineffective group, and the differences were statistically significant (P < 0.05). The AUC of NLR, PLR, and LMR on the efficacy of RA patients was 0.756, 0.732, and 0.779, the sensitivity was 68.4%, 60.2%, and 67.9%, and the specificity was 83.2%, 86.4%, and 85.1%, respectively. Conclusion NLR, PLR, and LMR are the independent factors that affect the disease activity of RA patients and can better evaluate the disease activity and efficacy of RA.

Highlights

  • Rheumatoid arthritis (RA) is a chronic autoimmune disease with unknown etiology

  • Multivariate logistic regression analysis showed that neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), lymphocyte-monocyte ratio (LMR), C-reactive protein (CRP), and erythrocyte sedimentation rate (ESR) were independent influencing factors of RA patients (P < 0.05), as given in Tables 2 and 3

  • Predictive Value of NLR, PLR, and LMR for Disease Activity and Remission in RA Patients. e area under curve (AUC) of NLR for differential diagnosis of disease activity and remission in RA patients was 0.872

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Summary

Introduction

Rheumatoid arthritis (RA) is a chronic autoimmune disease with unknown etiology. Its clinical symptoms are mainly manifested by joint injuries such as hands and feet, which are difficult to reverse. Erefore, how to better evaluate the disease status of patients with early RA and develop appropriate treatment plans to achieve better efficacy has always been one of the focuses of clinicians. It is known that inflammation is closely related to the occurrence and development of RA, and C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR) are commonly used as inflammatory indicators to evaluate RA. There are still few studies on whether NLR, PLR, and LMR can be used to judge the disease activity and treatment effect of RA patients. Erefore, this study retrospectively analyzed the clinical data of newly diagnosed RA patients in our hospital and explored the value of NLR, PLR, and LMR in disease activity and efficacy evaluation, and the details are given as follows There are still few studies on whether NLR, PLR, and LMR can be used to judge the disease activity and treatment effect of RA patients. erefore, this study retrospectively analyzed the clinical data of newly diagnosed RA patients in our hospital and explored the value of NLR, PLR, and LMR in disease activity and efficacy evaluation, and the details are given as follows

Methods
Results
Conclusion
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