Table 3 Influencing Factors– Multivariate Logistic Regression Analysis

Variable	N	OR	95% CI	Result of statistical analysis (p-value)
Age group (> 75, n = 54)	339
≤ 30	4	0.000	[0.000–0.000]	.
31–45*	17	0.082	[0.015–0.447]	0.004*
46–65*	188	0.355	[0.169–0.743]	0.006*
66–75*	76	0.396	[0.181–0.868]	0.021*
Marital status (Single, n = 45)	339
Married*	231	2.574	[1.142–5.802]	0.023*
Divorced	27	1.562	[0.508–4.799]	0.436
Widowed	26	1.860	[0.593–5.829]	0.287
Permanent partnership*	10	6.900	[1.312–36.295]	0.023*
At least one comorbidity (Yes, n = 286)	339	1.413	[0.682–2.930]	0.352
Cardiovascular comorbidity (Yes, n = 150)	339	0.843	[0.501–1.421]	0.522
Regular medication (Yes, n = 246) *	330	1.896	[1.029–3.494]	0.040*
ECOG performance status (0, n = 257)	339
1	63	0.695	[0.586–1.986]	0.801
2	17	0.698	[0.859–10.442]	0.799
3	2	2.076	[0.073–21.460]	0.641

Reference categories: age group (> 75 years), marital status (single), at least one comorbidity (no), cardiovascular comorbidity (no), regular medication (no), ECOG (stadium 0)
Rows marked with an asterisk (*) indicate the influencing factors that were found to be statistically relevant
Lines marked in bold indicate the influential factors that had proved to be statistically relevant in both univariate and multinomial analyses
N Number of patients, OR odds ratio, 95% CI 95% confidence interval, p value of significance
Model goodness of fit: −2 Log-likelihood: 61.059; Cox & Snell: 0.091; Nagelkerke: 0.122; McFadden: 0.069