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Table 7 Incremental predictive value and predictive power of various models with NRI, IDI, and C-statistics

From: Relationship between stress hyperglycaemic ratio and incidence of in-hospital cardiac arrest in patients with acute coronary syndrome: a retrospective cohort study

Model

C-statistic

(95% Cl)

p

NRI

(95% Cl)

p

IDI

(95% Cl)

p

Baseline risk model

0.8123 (0.7677–0.8568)

Ref.

Ref.

 

Ref.

 

 + HbA1c

0.8125 (0.7680–0.8570)

0.4489

0.0000 (-0.0021–0.0021)

1.0000

0.0001 (-0.0003–0.0001)

0.4018

 + ABG

0.8237 (0.7793–0.8680)

0.1419

0.0353 (-0.0191–0.0898)

0.2032

0.0115 (-0.0011–0.0241)

0.0731

 + SHR

0.8242 (0.7786–0.8698)

0.1941

0.0734 (0.0058–0.1409)

0.0332

0.0218 (0.0063–0.0374)

0.0060

  1.  Baseline risk model includes age, smoking, SBP, DBP, number of diseased vessels, CTO disease, thrombolytic therapy, eGFR, hs-CRP, LVEF, and LDL-C.
  2. Admission Blood Glucose, ABG; Confidence Interval, CI; Integrated Discrimination Improvement, IDI; Net Reclassification Improvement, NRI; References, ref; Stress Hyperglycaemic Ratio, SHR