Abstract
Objective
This study examined the relationship between neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), mean platelet volume (MPV), and rheumatoid arthritis (RA), to establish a correlation among the NLR, PLR, and MPV and RA activity.
Methods
Medline, Embase, and Cochrane were searched, and a meta-analysis was performed to compare the NLR, PLR, and MPV between RA patients and healthy controls. The correlation coefficients between NLR, PLR, and MPV and the Disease Activity Score 28 (DAS28) in the RA patients were examined.
Results
Sixteen studies were included in this meta-analysis. NLR was significantly higher in the RA group (standardized mean difference [SMD], 0.800; 95% confidence interval [CI], 0.542∼1.058; p<0.001). Stratification according to ethnicity revealed a significantly elevated NLR in the RA group in Asian and Turkish populations (SMD, 95% CI: 0.994, 0.418∼1.519, p=0.001 and 0.695, 0.443∼0.948, p<0.001, respectively). Subgroup analysis revealed a significantly high NLR in RA, independent of the data type and adjustment for age and/or sex. PLR was also significantly higher in the RA group (SMD, 0.708; 95% CI, 0.401∼0.995; p<0.001), regardless of ethnicity, data type, and adjustment for age and/or sex. In addition, NLR and PLR were positively associated with the RA activity based on the DAS28 (correlation coefficient, 95% CI: 0.277, 0.190∼0.359, p<0.001 and 0.318, 0.197∼0.430, p<0.001, respectively). However, MPV showed no correlation with the RA activity (correlation coefficient, −0.095; 95% CI, −0.435 to 0.269; p=0.615).
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Table 1.
Test | Author | Country | Number | Matched | DAS28 | Result | |||
---|---|---|---|---|---|---|---|---|---|
Case | Control | SMD* | Magnitude* | p-value | |||||
NLR | Maden, 2017 [23] | Turkey | 82 | 61 | NA | NA | 0.888 | Large | <0.001 |
Zhang-1, 2016 [24] | China | 125 | 126 | Age, sex | NA | 0.831 | Large | <0.001 | |
Zhang-2, 2016 [24] | China | 59 | 126 | Age, sex | NA | 0.557 | Medium | 0.001 | |
Gökmen, 2016 [25] | Turkey | 84 | 60 | Age, sex | NA | 0.661 | Medium | <0.001 | |
Yolbas, 2016 [7] | Turkey | 91 | 55 | NA | NA | 1.219 | Large | <0.001 | |
Tekeoğ lu, 2016 [14] | Turkey | 102 | NA | NA | 0.193 | NA | NA | NA | |
Zengin, 2016 [15] | Turkey | 205 | 104 | NA | NA | 0.505 | Medium | <0.001 | |
Mercan, 2016 [8] | Turkey | 136 | 117 | NA | 0.310 | 0.300 | Small | 0.018 | |
Uslu, 2015 [16] | Turkey | 104 | 51 | Age, sex | 0.345 | 0.715 | Medium | <0.001 | |
Fu, 2015 [17] | China | 128 | 78 | Age, sex | 0.250 | 1.601 | Large | <0.001 | |
PLR | Zhang-1, 2016 [24] | China | 125 | 126 | Age, sex | NA | 0.806 | Large | <0.001 |
Zhang-2, 2016 [24] | China | 59 | 126 | Age, sex | NA | 0.711 | Medium | <0.001 | |
Yolbas, 2016 [7] | Turkey | 91 | 55 | NA | NA | 1.248 | Large | <0.001 | |
Zengin, 2016 [15] | Turkey | 205 | 104 | NA | NA | 0.338 | Small | 0.005 | |
Mercan, 2016 [8] | Turkey | 136 | 117 | NA | NA | 0.264 | Small | 0.037 | |
Uslu, 2015 [16] | Turkey | 104 | 51 | Age, sex | 0.352 | 0.461 | Small | 0.008 | |
Fu, 2015 [17] | China | 128 | 78 | Age, sex | 0.290 | 1.199 | Large | <0.001 | |
MPV | Maden, 2017 [23] | Turkey | 82 | 61 | NA | NA | 1.454 | Large | <0.001 |
Talukdar-1, 2017 [19] | India | 48 | 80 | Age, sex | NA | 0.614 | Medium | 0.001 | |
Talukdar-2, 2017 [19] | India | 32 | 80 | Age, sex | NA | 1.861 | Large | <0.001 | |
Gokmen, 2016 [25] | Turkey | 84 | 60 | Age, sex | NA | 0.384 | Small | 0.024 | |
Yolbas, 2016 [7] | Turkey | 91 | 55 | NA | NA | 0.064 | No effect | 0.708 | |
Tekeoğ lu, 2016 [14] | Turkey | 102 | NA | NA | 0.316 | NA | NA | NA | |
Tecer, 2016 [18] | Turkey | 100 | 100 | Age, sex | NA | 0.951 | Large | <0.001 | |
Cakir, 2016 [26] | Turkey | 81 | 80 | Age, sex | NA | 0.749 | Medium | <0.001 | |
Yildirim, 2015 [27] | Turkey | 90 | 52 | Age, sex | 0.231 | 0.506 | Medium | 0.004 | |
Yazici, 2010 [20] | Turkey | 97 | 33 | Age, sex | 0.270 | 0.615 | Medium | 0.003 | |
Gasparyan, 2010 [22] | UK | 400 | 360 | NA | NA | 0.231 | Small | 0.002 | |
Kisacik, 2008 [21] | Turkey | 32 | 29 | Age | NA | 1.660 | Large | <0.001 |
Table 2.
Group | Population | Study (n) | Test of association | Test of heterogeneity | ||||
---|---|---|---|---|---|---|---|---|
SMD* | 95% CI | p-value | Model | p-value | I2 | |||
NLR | ||||||||
Overall | 9 | 0.800 | 0.542∼1.058 | <0.001 | R | <0.001 | 84.8 | |
Ethnicity | Asian | 3 | 0.994 | 0.418∼1.519 | 0.001 | R | <0.001 | 91.1 |
Turkish | 6 | 0.695 | 0.443∼0.948 | <0.001 | R | 0.001 | 75.4 | |
Data type | Original | 5 | 0.588 | 0.389∼0.787 | <0.001 | R | 0.063 | 55.2 |
Calculated | 4 | 1.047 | 0.607∼1.488 | <0.001 | R | <0.001 | 87.5 | |
Age/sex-matche | ed Yes | 5 | 0.874 | 0.517∼1.230 | <0.001 | R | <0.001 | 84.6 |
No | 4 | 0.709 | 0.331∼1.086 | <0.001 | R | <0.001 | 84.9 | |
PLR | ||||||||
Overall | 7 | 0.708 | 0.401∼0.995 | <0.001 | R | <0.001 | 85.5 | |
Ethnicity | Asian | 3 | 0.904 | 0.622∼1.185 | <0.001 | R | 0.062 | 64.0 |
Turkish | 4 | 0.560 | 0.173∼0.947 | 0.005 | R | <0.001 | 85.9 | |
Data type | Original | 3 | 0.335 | 0.182∼0.488 | <0.001 | F | 0.656 | 0 |
Calculated | 4 | 0.980 | 0.720∼1.239 | <0.001 | R | 0.037 | 64.7 | |
Age/sex-matched | Yes | 4 | 0.800 | 0.514∼1.087 | <0.001 | R | 0.013 | 72.0 |
No | 3 | 0.599 | 0.075∼1.122 | 0.025 | R | <0.001 | 90.6 | |
MPV | ||||||||
Overall | 11 | 0.049 | 0.425∼0.524 | 0.838 | R | <0.001 | 95.9 | |
Data type | Original | 9 | 0.116 | 0.525∼0.757 | 0.723 | R | <0.001 | 96.2 |
Calculated | 2 | 0.248 | 1.208∼0.712 | 0.613 | R | <0.001 | 96.6 | |
Age/sex-matched | Yes | 8 | 0.227 | 0.414∼0.868 | 0.487 | R | <0.001 | 95.8 |
No | 3 | 0.418 | 1.356∼0.520 | 0.382 | R | <0.001 | 97.1 |