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Table 4 Evaluate the incremental predictive value and predictive power of various models with NRI, IDI and C-index

From: Predictive effect of triglyceride‑glucose index on clinical events in patients with type 2 diabetes mellitus and acute myocardial infarction: results from an observational cohort study in China

 

Category-free NRI

IDI

C-index

Index

95% CI

p value

Index

95% CI

p value

Index

95% CI

p value

Baseline risk model

  

Ref

  

Ref

0.659

0.638 to 0.681

 < 0.001

 + HbA1c

0.032

−0.063 to 0.094

0.228

0.005

0.000 to 0.013

0.084

0.661

0.638 to 0.683

 < 0.001

 + FPG

0.095

0.015 to 0.150

0.020

0.007

0.001 to 0.015

0.016

0.664

0.641 to 0.686

 < 0.001

 + TGs

0.111

0.030 to 0.164

0.020

0.010

0.007 to 0.020

0.012

0.676

0.654 to 0.697

 < 0.001

 + TyG index

0.190

0.094 to 0.337

 < 0.001

0.027

0.013 to 0.041

 < 0.001

0.685

0.663 to 0.707

 < 0.001

  1. Baseline risk model including age, history of stroke, beta-blocker used before admission, WBC, eGFR, LVEF, in-hospital treatment(PCI/CABG, antiplatelet agent, beta-blocker and statins) and hypoglycemic agents( insulin)
  2. NRI, net reclassification improvement; IDI, integrated discrimination improvement; HbA1c, glycated hemoglobin; FPG, fasting plasma glucose; TGs, triglycerides; TyG, triglyceride-glucose index; WBC, white blood cell; eGFR, estimated glomerular filtration rate; LVEF, left ventricular ejection fraction; PCI, percutaneous coronary intervention; CABG, coronary artery bypass graft; Ref, reference
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Cardiovascular Diabetology

ISSN: 1475-2840