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. 2022 Mar 31;57(1):59–68. doi: 10.5045/br.2021.2021209

Table 6.

Fine and Gray regression analysis to determine risk factors for developing myelofibrosis in patients with polycythemia vera (N=131).

Univariate analysis Multivariate analysis
HR 95% CI P HR 95% CI P
Factors at diagnosis
Age >60 yr 0.84 0.27–2.63 0.765 - - -
Female 2.92 0.99–8.57 0.051 - - -
Palpable splenomegaly 3.19 0.97–10.44 0.056 - - -
WBC >11.0×109/L 1.44 0.38–5.44 0.588 - -
Monocyte >1.0×109/L 3.17 0.89–11.35 0.076 - - -
Platelet >1,000×109/L 2.01 0.30–13.68 0.473 - - -
LDH >1.5×UNL 4.01 1.04–15.59 0.044 2.39 0.31–18.60 0.405
Positive JAK2V617F 2.72 0.30–24.40 0.386 - - -
Positive JAK2 exon 12 mutation 2.67 0.35–20.16 0.341 - - -
Abnormal karyotype 21.44 5.71–80.91 <0.001 18.20 2.0–165.95 0.010
Thrombosis before or at diagnosis 0.31 0.04–2.63 0.284 - - -
Hydroxyurea treatment 2.20 0.27–17.74 0.458 - - -

Abbreviations: CI, confidence interval; HR, hazard ratio; LDH, lactate dehydrogenase; UNL, upper normal limit.