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

Table 5.

Fine and Gray regression analysis to determine risk factors for developing myelofibrosis in patients with essential thrombocythemia (N=144).

Univariate analysis Multivariate analysis
HR 95% CI P HR 95% CI P
Factors at diagnosis
Age >60 yr 1.89 0.59–6.05 0.286 - - -
Male 1.82 0.49–6.74 0.367 - - -
IPSET high 0.83 0.24–2.83 0.768 - - -
WBC >11.0×109/L 0.82 0.27–2.49 0.721 - - -
Monocyte >1.0×109/L 2.79 1.23–9.12 0.045 3.57 1.17–10.91 0.026
Platelet >1,000×109/L 0.92 0.30–2.85 0.890 - - -
LDH >1.5×UNL 0.58 0.15–2.27 0.432 - - -
Positive JAK2V617F 0.72 0.21–2.50 0.602 - - -
Positive CALR mutation 3.26 1.01–10.47 0.048 4.42 1.20–16.37 0.026
Thrombosis before or at diagnosis 1.86 0.52–6.66 0.342 - - -
Hydroxyurea treatment 1.27 0.27–5.94 0.766 - - -

Abbreviations: CI, confidence interval; HR, hazard ratio; IPSET, International prognostic scoring for essential thrombocythemia; LDH, lactate dehydrogenase; UNL, upper normal limit.