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Table 3 Results from general linear models for factors with significant interaction terms

From: Endothelial injury in rheumatoid arthritis: a crosstalk between dimethylarginines and systemic inflammation

   Normal inflammation High inflammation
Outcome Factor Gradient p value Gradient p value
SDMA Log2ACh −0.7% (−5.6%, 4.5%) 0.791 −16.3% (−26.3%, −5.0%) 0.006
ADMA:SDMA Log2ACh 2.2% (−4.5%, 9.4%) 0.528 25.6% (6.1%, 48.7%) 0.008
SDMA Log2SNP 0.4% (−2.4%, 3.3%) 0.778 −6.2% (−11.5%, −0.5%) 0.034
ADMA:SDMA AIx (HR 75) −0.1% (−0.5%, 0.4%) 0.827 1.6% (0.1%, 3.1%) 0.033
  1. Results are from the models reported in Table 2. Since the outcome variables of SDMA and ADMA:SDMA had been log-transformed prior to analysis, the resulting coefficients were anti-logged, and converted into gradients representing the percentage increase in the outcome for a one unit increase in the factor. For the log-transformed factors, this is equivalent to the change associated with a twofold increase in the untransformed factor. Bold p values are significant at p < 0.05
  2. SDMA symmetric dimethylarginine, ACh acetylcholine, ADMA asymmetric dimethylarginine, SNP sodium nitroprusside, AIx augmentation index, HR heart rate