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. 2018 Jun;12(6):438–447.e4. doi: 10.1016/j.jash.2018.03.007

Table 2.

Classification parameters by HF1 at baseline

Groups Classification Parameters Using −0.350 as Optimized HF1 Threshold
Sensitivity (%) Specificity (%) Positive Predictive Value (%) Negative Predictive Value (%) Misclassification Rate Integrated Discrimination Improvement (%) Net Reclassification Improvement (%)
All participants (N = 645) 43.0 86.1 54.2 79.7 25.9 1.14 (0.15 to 2.13) 31.7 (14.9 to 18.5)
Age ≥50 y (N = 345) 45.9 81.4 67.3 64.3 34.8 1.66 (0.30 to 3.02) 39.2 (19.3 to 59.1)§
Age <50 y (N = 300) 77.3 89.2 85.7 93.6 15.7 0.07 (−0.40 to 0.54) 19.1 (−21.5 to 59.7)
BMI ≥25 kg/m2 (N = 400) 43.1 82.3 59.6 70.3 32.6 0.81 (−0.09 to 1.71) 26.7 (7.31 to 46.1)
BMI <25 kg/m2 (N = 245) 57.1 90.4 36.4 92.5 15.0 3.75 (−0.39 to 7.88) 48.6 (9.81 to 87.4)
Hypertension (N = 268) 47.3 76.3 64.9 60.9 37.7 0.78 (−0.29 to 1.85) 21.0 (−2.44 to 44.4)
Normotension (N = 377) 68.0 90.2 66.7 89.7 17.5 2.77 (−0.18 to 5.73) 44.4 (17.8 to 71.1)

BMI, body mass index.

The basic reference models included as covariables sex, age, BMI, systolic and diastolic blood pressure, heart rate, serum creatinine, fasting blood glucose, and treatment with inhibitors of the renin system and β-blockers. The integrated discrimination improvement (IDI) is the difference between the discrimination slopes of basic models and basic models extended with HF1. The discrimination slope is the difference in predicted probabilities (%) between cases and controls. Cases and controls are participants with and without LVDD, respectively. The net reclassification improvement (NRI) is the sum of the percentages of participants reclassified correctly as cases and controls.

Significance: P ≤ .05.

P ≤ .01.

P ≤ .001.

§

P ≤ .0001.