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Table 8 Binary logistic regression analysis for factors predicting the severity of rash

From: The relationship between medication literacy and skin adverse reactions in non-small-cell lung cancer patients undergoing targeted EGFR-TKI therapy

Variables

severe rash/non-severe rash

β

OR

95%CI

p-value

Age

-4.525

0.011

0.000–0.409

0.015

Gender

-2.112

0.121

0.010–1.479

0.121

Marital status

-0.137

0.842

0.105–7.532

0.827

Education level

-2.767

0.069

0.087–0.971

0.021

Occupation status

-1.535

0.659

0.001–21.623

0.325

Residence

-0.169

0.884

0.183–7.727

0.836

Medical insurance

1.537

6.322

0.678–29.683

0.092

Family income Chinese RMB (Â¥)/M/P

-0.469

0.647

0.175–2.531

0.529

CCI

-3.166

0.048

0.002–0.539

0.012

Disease stage

-0.579

0.654

0.866–19.231

0.507

Eczema history

-4.156

0.027

0.006–0.739

0.001

Nutritional status

2.976

8.870

2.755–17.046

0.004

Blood IL-6 level

3.177

3.116

1.892–19.385

0.014

Blood hs-CRP level

1.410

4.098

2.868–18.194

0.009

Duration of medicine (month,M)

-2.768

0.088

0.016–0.670

0.026

Combination of medicine

-4.151

0.061

0.001–0.359

0.004

Medication literacy

-1.594

0.203

0.069–0.595

0.004

  1. F = 296.35; R2 = 72.5%, adjusted R2 = 71.1%