Table 3.

Competing risk models for thrombosis after PV diagnosis by treatments and patient characteristics (n = 820)

Characteristic*Model 1Model 2
HR95% CIPHR95% CIP
Phlebotomy       
 No 1.00      
 Yes 0.52 0.42-0.66 <.01    
Phlebotomy intensity, times per year    0.46 0.29-0.74 <.01 
HU PDC, every 10% 0.92 0.89-0.96 <.01 0.92 0.88-0.95 <.01 
Age, y 1.01 0.99-1.02 .55 1.01 0.99-1.03 .27 
Sex       
 Female 1.00   1.00   
 Male 0.94 0.74-1.20 .61 0.98 0.77-1.24 .86 
Race       
 White 1.00   1.00   
 Nonwhite 0.74 0.46-1.20 .23 0.85 0.53-1.38 .52 
Modified Elixhauser score       
 0 1.00   1.00   
 1 1.28 0.94-1.75 .11 1.30 0.95-1.77 .10 
 ≥2 1.37 1.01-1.86 .05 1.38 1.03-1.86 .03 
Prior thrombosis       
 No 1.00   1.00   
 Yes 1.17 0.82-1.67 .40 1.01 0.71-1.43 .98 
Disability       
 No 1.00   1.00   
 Yes 0.98 0.66-1.45 .92 .01 0.69-1.47 .98 
Low-income subsidy       
 No 1.00   1.00   
 Yes 1.48 1.10-1.99 .01 1.38 1.03-1.85 .03 
Influenza vaccination within 12 mo prior to PV diagnosis       
 No 1.00   1.00   
 Yes 0.99 0.78-1.26 .96 0.98 0.78-1.25 .88 
Characteristic*Model 1Model 2
HR95% CIPHR95% CIP
Phlebotomy       
 No 1.00      
 Yes 0.52 0.42-0.66 <.01    
Phlebotomy intensity, times per year    0.46 0.29-0.74 <.01 
HU PDC, every 10% 0.92 0.89-0.96 <.01 0.92 0.88-0.95 <.01 
Age, y 1.01 0.99-1.02 .55 1.01 0.99-1.03 .27 
Sex       
 Female 1.00   1.00   
 Male 0.94 0.74-1.20 .61 0.98 0.77-1.24 .86 
Race       
 White 1.00   1.00   
 Nonwhite 0.74 0.46-1.20 .23 0.85 0.53-1.38 .52 
Modified Elixhauser score       
 0 1.00   1.00   
 1 1.28 0.94-1.75 .11 1.30 0.95-1.77 .10 
 ≥2 1.37 1.01-1.86 .05 1.38 1.03-1.86 .03 
Prior thrombosis       
 No 1.00   1.00   
 Yes 1.17 0.82-1.67 .40 1.01 0.71-1.43 .98 
Disability       
 No 1.00   1.00   
 Yes 0.98 0.66-1.45 .92 .01 0.69-1.47 .98 
Low-income subsidy       
 No 1.00   1.00   
 Yes 1.48 1.10-1.99 .01 1.38 1.03-1.85 .03 
Influenza vaccination within 12 mo prior to PV diagnosis       
 No 1.00   1.00   
 Yes 0.99 0.78-1.26 .96 0.98 0.78-1.25 .88 
*

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).

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