4.3 Article

Correlation between NLR, PLR, and LMR and Disease Activity, Efficacy Assessment in Rheumatoid Arthritis

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HINDAWI LTD
DOI: 10.1155/2021/4433141

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Funding

  1. Scientific Research Program of Hunan Provincial Health Commission [20200050]

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The study analyzed the value of NLR, PLR, and LMR in patients with RA, finding them to be independent factors influencing disease activity and efficacy. Through logistic regression and ROC curve analysis, the results suggest that these factors are of significant importance in evaluating disease activity and efficacy in RA patients.
Objective. To analyze the value of neutrophil-lymph ocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and lymphocytemonocyte 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.

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