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. 2016 Apr 7;6:23979. doi: 10.1038/srep23979

Table 4. Multivariable Cox regression analyses of the related factors for developing various cancers in asthma patients.

  Model 1 Model 2 Model 3
LTRA users cDDD ≤112 cDDD >112 cDDD(1y) ≤84 cDDD(1y) >84
HR [95% CI] P value HR [95% CI] P value HR [95% CI] P value HR [95% CI] P value HR [95% CI] P value
Lung cancer 0.34 [0.20–0.60] 0.0002 0.43 [0.21–0.90] 0.0256 0.27 [0.12–0.62] 0.0019 0.32 [0.14–0.72] 0.0057 0.37 [0.18–0.78] 0.0094
Colorectal cancer 0.35 [0.20–0.62] 0.0004 0.43 [0.20–0.93] 0.0324 0.28 [0.12–0.66] 0.0037 0.42 [0.19–0.91] 0.0275 0.29 [0.12–0.68] 0.0045
Gastric cancer 0.30 [0.09–0.99] 0.0486 0.37 [0.08–1.71] 0.2040 0.21 [0.03–1.66] 0.1400 0.38 [0.08–1.72] 0.2087 0.21 [0.03–1.62] 0.1328
Liver cancer 0.34 [0.17–0.69] 0.0027 0.44 [0.18–1.08] 0.0738 0.24 [0.08–0.76] 0.0147 0.47 [0.20–1.10] 0.0806 0.19 [0.05–0.70] 0.0129
Pancreatic cancer 0.26 [0.05–1.44] 0.1220 0.24 [0.02–3.13] 0.2742 0.27 [0.03–2.42] 0.2426 0.20 [0.02–2.42] 0.2068 0.33 [0.03–3.50] 0.3553
Oral cancer 0.35 [0.12–1.01] 0.0519 0.32 [0.07–1.43] 0.1343 0.38 [0.08–1.72] 0.2093 0.32 [0.07–1.43] 0.1345 0.38 [0.08–1.72] 0.2100
Nasopharyngeal carcinoma 0.26 [0.03–2.51] 0.2470        
Brain cancer 0.26 [0.03–2.51] 0.9974        
Thyroid cancer 0.30 [0.06–1.55] 0.1504        
Skin cancer 0.61 [0.15–2.53] 0.4964 0.67 [0.10–4.53] 0.6855 0.54 [0.06–4.79] 0.5797 0.71 [0.10–4.82] 0.7259 0.51 [0.06–4.49] 0.5453
Urinary cancer 0.78 [0.33–1.88] 0.5839 0.94 [0.32–2.77] 0.9112 0.55 [0.11–2.82] 0.4752 0.71 [0.22–2.24] 0.5550 0.92 [0.23–3.70] 0.9049
Breast cancer 0.09 [0.03–0.26] <0.0001 0.15 [0.04–0.49] 0.0019 0.05 [0.01–0.34] 0.0025 0.09 [0.02–0.36] 0.0008 0.10 [0.02–0.44] 0.0022
Cervical cancer 0.48 [0.18–1.26] 0.1341 0.44 [0.12–1.60] 0.2129 0.52 [0.13–2.09] 0.3608 0.53 [0.17–1.64] 0.2718 0.38 [0.07–2.05] 0.2584
Prostate cancer 0.16 [0.03–0.94] 0.0419 0.19 [0.02–1.7] 0.1372 0.14 [0.01–1.74] 0.1265 0.16 [0.02–1.53] 0.1106 0.17 [0.01–2.34] 0.1873

The results are presented with adjusted hazard ratios (HRs) (95% confidence interval) of LTRA users (model 1) or lower (cDDD ≤ 112 in model 2 and cDDD(1y) ≤ 84 in model 3) and higher (cDDD > 112 in model 2 and cDDD(1y) >84 in model 3) doses of LTRA use, using LTRA non-users as reference, which are adjusted for age, residency, income level, marriage status, education level and the presence of various comorbidities.

The follow-up time was calculated from a year after the index date to either development of the specific cancer, death or the end of 2011, whichever came first.

The cumulative defined daily doses of LTRA were calculated from the index date to the end of follow-up (cDDD) and to a year after the index date [cDDD(1y)].

The HR of some cancer types could not be estimated due to small sample size.