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

Table 6 Binary logistic regression analysis for factors predicting the severity of skin ADRs

Variables	severe skin ADR/non-severe skin ADR
Variables	β	OR	95%CI	p-value
Age	-3.929	0.020	0.002–0.160	0.000
Gender	-4.062	0.017	0.002–0.129	0.000
Marital status	0.366	1.442	0.119–17.498	0.774
Education level	-2.712	0.066	0.012–0.373	0.002
Occupation status	-0.535	0.586	0.101–3.387	0.550
Residence	-1.517	0.219	0.039–1.235	0.085
Medical insurance	-1.032	0.356	0.043–2.929	0.337
Family income Chinese RMB (¥)/M/P	-0.445	0.641	0.245–1.673	0.363
CCI	-3.297	0.037	0.006–0.243	0.001
Disease stage	-3.578	2.023	0.769–13.339	0.732
Eczema history	-2.996	0.073	0.016–0.826	0.001
Nutritional status	4.891	0.039	0.025–0.769	0.000
Blood IL-6 level	2.143	0.362	0.188–0.633	0.013
Blood hs-CRP level	4.015	0.047	0.019–0.552	0.000
Duration of medicine (month,M)	0.172	1.188	0.216–6.633	0.843
Combination of medicine	-3.183	0.041	0.002–0.975	0.048
Medication literacy	-1.503	0.223	0.112–0.373	0.000

F = 213.74; R2 = 69.6%, adjusted R2 = 68.9%
Binary logistic regression model was computed for each outcome separately; the severity of skin ADRs was included as an independent variable, each model was adjusted by age, gender, marital status, education level, residence, occupation status, medical insurance, family income, CCI, disease stage, eczema history, blood IL-6 level, blood hs-CRP level, duration of medicine and combinatorial application of drugs

ISSN: 1471-2407