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. 2018 Oct 17;2(20):2681–2690. doi: 10.1182/bloodadvances.2018021436

Table 2.

Multivariable Cox proportional hazards analysis for overall survival after PV diagnosis by treatments and patient characteristics (n = 820)

Characteristic* Model 1 Model 2
HR 95% CI P HR 95% CI P
Phlebotomy
 No 1.00
 Yes 0.65 0.51-0.81 <.01
Phlebotomy intensity (times per year) 0.71 0.65-0.79 <.01
HU PDC (every 10%) 0.92 0.89-0.95 <.01 0.91 0.88-0.94 <.01
Age, y 1.08 1.07-1.10 <.01 1.08 1.07-1.10 <.01
Sex
 Female 1.00 1.00
 Male 1.36 1.06-1.73 .01 1.37 1.07-1.75 .01
Race
 White 1.00 1.00
 Nonwhite 1.18 0.79-1.76 .43 1.17 0.78-1.74 .45
Modified Elixhauser score
 0 1.00 1.00
 1 1.19 0.88-1.63 .26 1.24 0.91-1.68 .18
 ≥2 1.46 1.10-1.94 .01 1.38 1.04-1.84 .03
Prior thrombosis
 No 1.00 1.00
 Yes 1.04 0.75-1.45 .80 0.98 0.71-1.36 .91
Disability
 No 1.00 1.00
 Yes 1.31 0.93-1.85 .12 1.30 0.92-1.82 .13
Low-income subsidy
 No 1.00 1.00
 Yes 1.23 0.94-1.60 .13 1.18 0.90-1.54 .23
Influenza vaccination within 12 mo prior to PV diagnosis
 No 1.00 1.00
 Yes 0.78 0.62-0.99 .04 0.79 0.63-1.00 .05
*

All variables in the table were simultaneously included in the same model. The only difference between models 1 and 2 was that model 1 included phlebotomy as a binary variable and model 2 included the intensity of phlebotomy (number of phlebotomies each year).