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. 2020 Nov 3;60(4):1839–1849. doi: 10.1093/rheumatology/keaa429

Table 5.

Multivariable logistic regression model for anti-MDA5 autoantibody-associated juvenile myositis compared with other myositis autoantibody groups

Variablea Odds ratio 95% confidence interval P-value
Anti-MDA5 (n =34) autoantibody-positive vs anti-TIF1 autoantibody-positive (n =155) JIIM
 Weight loss 9.2 1.3, 17.2 <0.0001
 Arthritis 6.5 2.2, 24.6 0.002
 Arthralgia 4.2 3.9, 17.2 0.026
 Dysphagia 0.19 0.06, 0.55 0.004
 Falling episodes 0.26 0.08, 0.74 0.017
Likelihood ratio chi-square 64.9, P<0.0001, percent concordant 86.9, c statistic 0.884
Anti-MDA5 autoantibody-positive (n =31) vs anti-NXP2 autoantibody-positive (n =74) JIIM
 Weight loss 13.6 3.9, 58.8 0.0001
 Arthritis 9.5 2.5, 46.2 0.002
 Dysphagia 0.12 0.02, 0.61 0.018
Likelihood ratio chi-square 58.4, P<0.0001, percent concordant 88.8, c statistic 0.893
Anti-MDA5 autoantibody-positive (n =23) vs anti-synthetase autoantibody-positive (n =14) JIIM
 Interstitial lung disease 0.058 0.002, 0.57 0.032
 Serum creatine kinase level 0.063 0.003, 0.54 0.027
 Delay to diagnosis 0.063 0.003, 0.54 0.029
Likelihood ratio chi-square 25.9, P<0.0001, percent concordant 88.8, c statistic 0.916
Anti-MDA5 autoantibody-positive (n =33) vs MSA/MAA-negative (n =54) JIIM
 Arthritis 6.3 1.4, 35.6 0.023
 Arthralgia 6.1 1.4, 34.9 0.025
 Weight loss 5.6 1.6, 21.7 0.008
 Periungual capillary changes 5.2 1.2, 27.9 0.039
Likelihood ratio chi-square 49.2, P<0.0001, percent concordant 88.8, c statistic 0.896
a

The top variables from the pruned Random Forests models were used in the logistic regression models. Only subjects with complete data were used in the analysis. Note that 70 juvenile myositis patients with other autoantibodies were not included in this analysis.

ARS: aminoacyl-tRNA synthetase; IQR: interquartile range; JIIM: juvenile myositis; MAA: myositis associated autoantibody; MSA: myositis specific autoantibody; MDA5: melanoma differentiation-associated gene 5; NXP2: nuclear matrix protein 2; TIF1: transcriptional intermediary factor 1.