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

Table 7.

Fine and Gray regression analysis to determine risk factors for leukemic transformation in patients with myeloproliferative neoplasm (N=351).

Univariate analysis Multivariate analysis
HR 95% CI P HR 95% CI P
Factors at diagnosis
Age >60 yr 2.90 0.75–11.30 0.125 - - -
Female 1.98 0.62–6.34 0.247 - - -
Palpable splenomegaly 2.79 0.80–9.87 0.140 - - -
WBC >11.0×109/L 1.86 0.57–6.06 0.304 - - -
Monocyte >1.0×109/L 4.05 1.23–13.39 0.022 3.22 0.69–14.68 0.135
Platelet >1,000×109/L 2.44 0.77–7.73 0.128 - - -
LDH >1.5×UNL 2.74 0.81–9.26 0.105 - - -
Positive JAK2V617F 3.40 0.41–28.40 0.258 - - -
Positive CALR mutation 0.99 0.26–2.11 0.579 - - -
PMF 3.51 0.80–15.44 0.096 - - -
Abnormal karyotype 5.60 1.10–28.59 0.038 3.62 0.41–31.14 0.241
Thrombosis before or at diagnosis 1.26 0.34–4.66 0.730 - - -
Hydroxyurea treatment 1.98 0.43–9.11 0.381 - - -

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