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Table 1 Predictive performance of traditional risk factors and identified plasma proteins for predicting future CHD events in T2D patients

From: Proteomic signatures of type 2 diabetes predict the incidence of coronary heart disease

Predictive feature

AUC (95% CI)

Concordance index (95% CI)

Base model

0.729 (0.710–0.748)

0.727 (0.708–0.746)

nine proteins

0.733 (0.715–0.751)

0.733 (0.715–0.751)

Base model + PCSK9

0.734 (0.715–0.753)

0.733 (0.716–0.752)

Base model + ninie proteins

0.819 (0.804–0.833)

0.818 (0.803–0.833)

  1. The base model included sex, age, ethnicity, qualifications, body mass index (BMI), smoking status, alcohol frequency, sleep duration, nap during day, sleeplessness
  2. Nine proteins included PCSK9, NRP1, CD27, REN, RNASE1, ANGPTL4, PALM, RNASE6 and CYTL1
  3. T2D Type 2 diabetes, CHD Coronary heart disease
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Cardiovascular Diabetology

ISSN: 1475-2840