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. 2019 Jan 8;11(1):50. doi: 10.3390/cancers11010050

Table 4.

Thromboembolism risk classification, estimated cumulative incidence of thromboembolism, and predictive ability of newly derived and established thromboembolism risk models in the NSCLC cohort.

Risk Model Cohort High Risk Low Risk Prediction of Thromboembolism Prediction of Mortality Prediction of Progression
No. (%) Cum. TE % a No. (%) Cum. TE %a Sensitivity (95% CI) Specificity (95% CI) PPV (95% CI) NPV (95% CI) sHR b (95% CI),
p-Value
BIC c AUC d (95% CI) HR e (95% CI),
p-Value f
HR e (95% CI),
p-Value f
Model 1 g,i CHT 60 (72) 26.5 23 (28) 0.0 100
(79–100)
34
(23–47)
27
(16–40)
100
(85–100)
All TE in high risk group 127 0.67
(0.61–0.73)
2.2 (1.2–4.2),
0.015
1.9 (1.2–3.2),
p = 0.011
Model 1 g,i CHT/ RT 60 (51) 26.5 57 (49) 3.1 100
(81–100)
27
(19–37)
19
(11–29)
100
(87–100)
All TE in high risk group NR e 0.64
(0.59–0.68)
1.5 (0.9–2.3),
0.096
1.6 (1.1–2.4),
p = 0.018
Model 2 g,j CHT 56 (67) 26.6 27 (33) 3.7 94
(70–100)
39
(27–52)
27
(16–40)
96
(81–100)
8.2 (1.1–61.6),
p = 0.04
135 0.66
(0.58–0.75)
1.6 (0.9–2.9),
0.078
1.5 (0.9–2.4),
p = 0.081
Model 3 g,k CHT 49 (59) 30.6 34 (41) 2.9 94
(70–100)
49
(37–62)
31
(18–45)
97
(85–100)
12.3 (1.7–91.8),
p = 0.01
131 0.72
(0.62–0.80)
2.4 (1.4–4.2),
0.0001
2.2 (1.5–3.4),
p = 0.002
Khorana g,l CHT 20 (24) 20.2 63 (76) 18.9 25
(7–52)
76
(64–86)
20
(6–44)
81
(69–90)
1.1 (0.4–3.3),
p = 0.89
143 0.51
(0.39–0.63)
2.01 (1.2–3.4),
0.005
1.9 (1.2–3.2),
p = 0.002
PROTECHT g,m CHT 53 (64) 20.9 30 (36) 16.3 69
(41–89)
37
(26–50)
21
(11–34)
83
(65–94)
1.3 (0.5–3.7),
p = 0.60
142 0.53
(0.40–0.66)
1.8 (1.1–2.9),
0.013
1.9 (1.2–2.8),
0.002
CONKO g,n CHT 40 (48) 25.0 43 (52) 13.8 63
(35–85)
55
(43–67)
25
(13–41)
86
(72–95)
1.9 (0.7–5.3),
p = 0.71
141 0.59
(0.45–0.73)
2.6 (1.7–4.2),
<0.001
2.8 (1.9–4.2),
<0.001
CATS h,o CHT - - - - 64 (NR) 82 (NR) 20 (NR) 97 (NR) - - - - -

(a) Estimated TE incidence at six months from cumulative incidence function for TE with death as a competing risk; (b) Univariable sHR; (c) lowest BIC reflects most efficient model; (d) Area under ROC curve; (e) Stage-adjusted (stage IIIB/IV vs. stage I-IIIA) Cox proportional hazards regression; (f) p-value for mortality and progression among patients with high vs. low TE risk; (g) Model applied to NSCLC study population; (h) Model applied to mixed cancer population (published data); (i) Model 1: high risk if: (i) receiving chemotherapy and ((ii) baseline d-dimer ≥ 1.5 mg/L or (iii) month one d-dimer ≥ 1.5 mg/L or (iv) baseline fibrinogen ≥ 4 g/L and d-dimer ≥ 0.5 mg/L); (j) Model 2: high risk if: (i) and ((ii) or (iv)); (k) Model 3: high risk if: (i) and ((ii) or (iii) or (iv)) and ECOG PS ≥ 2; (l) Khorana: 1 point each for lung cancer, BMI ≥ 35 kg/m2, haemoglobin < 100 g/L, white cell count >11 × 109/L and platelet count >350 × 109/L (baseline biomarkers); (m) PROTECHT: as for Khorana plus 1 point each for gemcitabine chemotherapy and platinum-based chemotherapy; (n) CONKO: as for Khorana excluding BMI and adding 1 point for ECOG PS ≥ 2; (o) CATS: as for Khorana plus 1 point each for sP-selectin ≥ 53.1 ng/mL, D-dimer ≥ 1.44 µg/mL (baseline). BIC, Bayesian Information Criterion; NPV, negative predictive value; NR, not reported; PPV, positive predictive value; ROC, receiver operating characteristic; sHR, sub-distribution hazard ratio.