Table 4 Statistical modeling of... | American Society of Hematology

Table 4

Statistical modeling of variables predicting outcome

	Full cohort (n = 1061)				NCI HR (n = 499)				NCI SR (n = 562)
	Univariate		Multivariate		Univariate		Multivariate		Univariate		Multivariate
	HR	P (log-rank)	HR	P (log-rank)	HR	P (log-rank)	HR	P (log-rank)	HR	P (log-rank)	HR	P (log-rank)
NCI risk group	2.27	< .001	2.13	< .001	NA	NA	NA	NA	NA	NA	NA	NA
MRD ≥ .01%	3.84	< .001	2.89	< .001	3.19	< .001	2.20	< .001	4.72	< .001	4.72	< .001
High CRLF2 expression*	1.86	< .001	1.76	< .001	2.39	< .001	2.20	< .001	1.10	.724	NS	NS
CRLF2 genomic lesions†	1.97	< .001	NS	NS	2.62	< .001	NS	NS	1.26	.484	NS	NS
IKZF1 deletions/mutations	1.95	< .001	1.42	.037	2.23	< .001	NS	NS	1.55	.115	NS	NS
JAK mutations	2.13	.002	NS	NS	2.68	< .001	NS	NS	0.39	.330	NS	NS

	Full cohort (n = 1061)				NCI HR (n = 499)				NCI SR (n = 562)
	Univariate		Multivariate		Univariate		Multivariate		Univariate		Multivariate
	HR	P (log-rank)	HR	P (log-rank)	HR	P (log-rank)	HR	P (log-rank)	HR	P (log-rank)	HR	P (log-rank)
NCI risk group	2.27	< .001	2.13	< .001	NA	NA	NA	NA	NA	NA	NA	NA
MRD ≥ .01%	3.84	< .001	2.89	< .001	3.19	< .001	2.20	< .001	4.72	< .001	4.72	< .001
High CRLF2 expression*	1.86	< .001	1.76	< .001	2.39	< .001	2.20	< .001	1.10	.724	NS	NS
CRLF2 genomic lesions†	1.97	< .001	NS	NS	2.62	< .001	NS	NS	1.26	.484	NS	NS
IKZF1 deletions/mutations	1.95	< .001	1.42	.037	2.23	< .001	NS	NS	1.55	.115	NS	NS
JAK mutations	2.13	.002	NS	NS	2.68	< .001	NS	NS	0.39	.330	NS	NS

Univariate indicates performance of variables evaluated individually; Multivariate, Cox analysis (by backwards stepwise Akaike Information Criterion); HR, hazard ratio (determined by Cox proportional hazards); NA, not applicable; and NS, not significant (log-rank, P > .05).

ΔC_t ≤ 8.08.

†

For purposes of estimating outcome prediction, assume all cases not proven to have lesions are negative.

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