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. 2022 Mar 10;37(11):e87. doi: 10.3346/jkms.2022.37.e87

Table 3. Fine and gray regression analysis seeking risk factors for developing secondary myelofibrosis (N = 87).

Variables Univariate analysis Multivariate analysis
HR 95% CI P HR 95% CI P
Age > 60 yr 1.16 0.29–4.69 0.831 - - -
Male 0.42 0.10–1.72 0.228 - - -
Degree of splenomegalya 5.23 1.44–18.99 0.012 7.75 1.87–32.10 0.005
WBC > 12.0 ×109/L 1.31 0.29–5.86 0.723 - - -
Monocyte > 1.0 ×109/L 2.57 0.49–12.39 0.263 - - -
Platelet > 1,000 ×109/L 0.05 0.00–44.71 0.813 - - -
LDH > 1.5 ×UNL 3.79 0.75–12.24 0.108 - - -
JAK2V617F VAF > 50%b 1.82 0.11–29.12 0.672 - - -
JAK2V617F VAF > 70%b 4.64 0.29–74.23 0.278 - - -
Positive JAK2 exon12 mutation 0.04 0.00–1.03 0.637 - - -
Abnormal karyotype 44.55 2.67–742.55 0.008 261.48 7.57–9.036.32 0.002
Hydroxyurea treatment 26.69 0.05–15.44 × 103 0.457 - - -
Thrombosis before or at diagnosis 3.35 0.53–21.01 0.197 - - -

HR = hazard ratio, CI = confidence interval, WBC = white blood cell, LDH = lactate dehydrogenase, UNL = upper normal limit, VAF = variant allele frequency.

aNo splenomegaly, volumetric splenomegaly, and palpable splenomegaly; bA total of 61 patients were examined.