Extended Data Fig. 2: Disentangling the effect of the number of modalities and of time on accuracy. | Nature Medicine

Extended Data Fig. 2: Disentangling the effect of the number of modalities and of time on accuracy.

From: Multimodal assessment improves neuroprognosis performance in clinically unresponsive critical-care patients with brain injury

Extended Data Fig. 2

Multivariable logistic regression models with splits on medians for time ( ≥ vs < 2016) and the number of modalities ( ≥ vs < 6) suggest main effects of the number of modalities on accuracy (OR = 3.13 [95%CI: 7.29 - 7.88], P = 0.013, adjusted for time: OR = 0.77 [95%CI: 0.30 - 1.88], P = 0.568); and on “uncertain” prognosis (OR = 0.45 [95%CI: 0.25 - 0.81], P = 0.007, adjusted for time: OR = 0.61 [95%CI: 0.34 - 1.08], P = 0.088). Likelihood ratio tests did not advocate for an interaction effect of the number of modalities and time in both models (LRT, accuracy: χ2(1) = 0.003, P = 0.958, “uncertain” prognosis, χ2(1) = 0.307, P = 0.579).

Back to article page