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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
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Arthritis Research & Therapy

ISSN: 1478-6362

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