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Table 2 Prediction of Type 2 diabetes mellitus remission using different models by including neutrophil variables performed by ROC curve analysis.

From: Effect of long-term Mediterranean versus low-fat diet on neutrophil count, and type 2 diabetes mellitus remission in patients with coronary heart disease: results from the CORDIOPREV study

Model

AUC

Sensitivity

Specificity

Accuracy

Threshold

Model 1

0.623 (0.586–0.741)

0.945

0.409

0.515

0.333

Model 2

0.666 (0.586–0.745)

0.903

0.392

0.500

0.316

Model 3

0.742 (0.669–0.815)

0.708

0.720

0.630

0.437

Model 4

0.783 (0.680–0.822)

0.819

0.607

0.584

0.364

  1. Receiver operating characteristic curves of the model including the clinical and neutrophil variables.
  2. Model 1: Hb1Ac as reference.
  3. Model 2: This model includes clinical variables, such as age, sex, body mass index, diet, HDL, triglycerides and statin treatment.
  4. Model 3: This model includes Model 1 + Model 2.
  5. Model 4: This model contains Model 1 + Model 2 + neutrophil variables, including neutrophils, NLR, NBR, NHR, and NER.
  6. Bold numbers indicate the best model used to predict T2DM remission.
  7. AUC Area under curve, HbA1c Hemoglobin glycosylated, HDL high density lipoprotein, HOMA-IR Homeostasis model assessment-insulin resistance, hsCRP High-sensitive C reactive protein, NER Neutrophil-to-erythrocyte Ratio, NHR Neutrophil-to-HDL Ratio, NLR Neutrophil-to-lymphocyte ratio.
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