Measurement of cumulative high-sensitivity C-reactive protein and monocyte to high-density lipoprotein ratio in the risk prediction of type 2 diabetes: a prospective cohort study

Table 3 Prediction performance in the entire population for the full-adjusted model and with the addition of cumulative MHR and hsCRP

Models	C-statistics (95% CI)	SE	NRI, % (95% CI)	P value	IGI, % (95% CI)	P value
Multivariable model	0.7377 (0.7302–0.7451)	0.00381	–	–	–	–
Multivariable model + baseline MHR	0.7380 (0.7305–0.7453)	0.00381	4.14 (1.14–7.13)	0.0069	0.01 (0.00–0.02)	0.0056
Multivariable model + cumulative MHR	0.7397 (0.7322–0.7471)	0.00379	8.36 (5.36–11.35)	< 0.0001	0.11 (0.07–0.15)	0.0004
Multivariable model + cumulative hsCRP	0.7408 (0.7333–0.7482)	0.00377	12.02 (9.02–15.01)	< 0.0001	0.07 (0.03–0.12)	0.0017
Multivariable model + cumulative MHR + Cumulative hsCRP	0.7417 (0.7343–0.7491)	0.00376	12.39 (9.39–15.37)	< 0.0001	0.16 (0.11–0.22)	< 0.0001

The Multivariable model:was adjusted for age (continuous), sex, education, smoking status, drinking status, physical activity, family history of diabetes, BMI (categorical), FBG (continuous), hypertension (categorical), logTG (continuous), LDL-C (continuous), eGFR (categorical), antihypertensives (yes or no), lipid-lowering drugs (yes or no), log(leukocyte) (continuous), and log(hsCRP)
The baseline MHR, cumulative MHR and cumulative hsCRP were all log-transformed and added in the models
IDI integrated discrimination improvement; NRI net reclassification improvement; others as in Table 1

ISSN: 1479-5876