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. 2022 Oct 14;12:173. doi: 10.1186/s13578-022-00863-x

Table 3.

Model performance measures for mortality and MACE risks in the discovery phase

Predictive model AUC IDI (95% CI) Continuous NRI (95% CI)
Prediction of death
 Metabolomic + clinicala 83.7
 Metabolomicb 80.9 0.072 (− 0.067 to 0.238) 0.013 (− 0.259 to 0.263)
 TMAO + clinicalc 76.6 0.096 (0.031–0.235) 0.230 (− 0.032 to 0.446)
 Clinicald 77.0 0.096 (0.012–0.231) 0.121 (− 0.127 to 0.369)
Prediction of MACE
 Metabolomic + clinicale 67.4
 Metabolomicf 66.0 0.066 (0.005–0.124) 0.097 (−0.049 to 0.238)
 TMAO + clinicalg 59.8 0.068 (0.029–0.118) 0.144 (0.005–0.324)
 Clinicalh 58.4 0.072 (0.034–0.128) 0.106 (− 0.001–0.321)

The metabolic variables screened from LASSO, TMAO, and the 17 traditional clinical factors including age, sex, AST, eGFR, DM, HyperT, CHOL, HDLC, PPI, ACEI, BB, CCB, current smoking, family history of CVD, SYNTAX, SBP, and GLUC were input into multivariate Cox proportional hazards regression analysis to fit model, using a forward and backward stepwise process based on AIC (Akaike information criterion). The model with the smallest AIC value was considered the best and variables with P < 0.1 were retained. IDI (integrated discrimination improvement) and continuous NRI (net reclassification improvement) were calculated by comparing the Metabolomic + clinical model with TMAO + clinical and Clinical model, and the Metabolomic model with Clinical model, 95% CIs were calculated by 1000 bootstrap resampling

aMetabolomic + clinical model = Dulcitol, β-Pseudouridine, 3,3ʹ,5-Triiodo-l-thyronine, Kynurenine, age, current smoking, GLUC, AST, SBP

bMetabolomic model = Dulcitol, Kynurenine, Cyclic AMP, 3,3ʹ,5-Triiodo-l-thyronine, β-Pseudouridine

cTMAO model = TMAO, age, AST, current smoking, SBP, GLUC

dClinical model = age, AST, HDLC, CCB, current smoking, SYNTAX, SBP, GLUC

eMetabolomic + clinical model = lysoPC 20:2, 5-methyluridine, kynurenine, L-tryptophan, AST, DM, PPI, SYNTAX

fMetabolomic model = lysoPC 20:2, 5-methyluridine, kynurenine, l-tryptophan, d-sorbitol, phenyllactate

gTMAO + clinical model = TMAO, AST, DM, PPI, CCB, SYNTAX

hClinical model = AST, DM, PPI, CCB, SYNTAX. AUC = area under the curve, other abbreviations are as in Table 1