Skip to main content
Intensive Care Medicine Experimental

Table 4 CircNFAT5 performance to predict patient outcome in TTM cohort

From: Circular RNAs to predict clinical outcome after cardiac arrest

Neurological outcome

AIC

HL_p

AUC

lr_p

NRI

NRI_p

IDI

IDI_p

Basal model

433

< 2.22E-16

0.91

–

–

–

–

–

Basal model + circNFAT5

429

< 2.22E-16

0.91

1.49E-02

0.27

1.37E-03

5.34E-03

0.15

Survival

AIC

GB_p

C_idx

lr_p

Basal model

2373

1.57E-03

0.85

–

Basal model + circNFAT5

2362

1.71E-03

0.85

3.91E-04

  1. Incremental value of circNFAT5 to predict neurological and survival in TTM-trial patients. The basal model included age, sex, first monitored rhythm, bystander cardiopulmonary resuscitation (CPR), circulatory shock on admission, targeted temperature regimen, time from CA to ROSC, initial serum lactate levels and NSE levels at 48 h. AIC Akaike Information Criterion, HL Hosmer–Lemeshow, AUC area under the curve, GB Gronnesby and Borgan, C_idx Harrell’s C-index, IDI integrated discrimination improvement, IDI_p integrated discrimination improvement p-value, lr_p likelihood ratio test p-value, NRI net reclassification improvement, NRI_p net reclassification improvement p-value
Back to article page