Table 1 Patients’ characteristics in the French multicenter cohort and the training cohort in the study by Zhang et al.

From: Evaluating a predictive model of tyrosine kinase inhibitor therapy failure in a European-type cohort: a step towards population-specific tools

 

French cohort (N = 601)

Chinese training cohort (N = 1955)

Age, years, median (IQR)

58 (47–70)

40 (30–52)

Male sex, n (%)

323 (54)

1195 (61)

Spleen size, cm below costal margin, median (IQR)

0 (0–3)

3 (0–10)

White blood cells, ×10E + 9/L, median (IQR)

64 (30–139)

122 (47–235)

Hemoglobin, ×10E + 9/L, median (IQR)

126 (111–139)

115 (97–132)

Platelets, ×10E + 9/L, median (IQR)

389 (248–600)

410 (270–635)

Blood blasts, %, median (IQR)

0 (0–1.7)

1 (0–3)

Blood basophils, %, median (IQR)

3 (2–5)

5 (2–8)

Blood eosinophils, %, median (IQR)

2 (1–3)

2 (1–4)

Sokal risk, n (%)

 Low

206 (34)

819 (42)

 Intermediate

278 (46)

555 (28)

 High

113 (19)

394 (20)

 Unknown

4 (0.7)

187 (10)

ELTS risk, n (%)

 Low

321 (53)

1115 (57)

 Intermediate

192 (32)

471 (24)

 High

83 (14)

182 (9)

 Unknown

5 (0.8)

187 (10)

 Ph+ ACAs, n (%)

70 (12)

68 (3)

 High-risk ACAs, n (%)

32 (5)

41 (2)

 Comorbidity(ies), n (%)

180 (30)

700 (36)

Initial TKI, n (%)

 Imatinib

397 (66)

1539 (79)

 2 G TKI

204 (34)

416 (21)

 Nilotinib

143 (24)

280 (14)

 Bosutinib

48 (8)

0 (0)

 Dasatinib

13 (2)

72 (4)

 Flumatinib

0 (0)

64 (3)

Follow-up, months, median (IQR)

47 (19–89)

56 (30–91)