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. 2023 Nov 20;22:318. doi: 10.1186/s12933-023-02014-z

Table 2.

Results of predicting the occurrence of HF using three MLR models based on the most discriminative features, extracted for (i) all patients, (ii) MASLD( +) patients, and (iii) MASLD(−) patients of Dataset A

Method Sensitivity Specificity CC with event [%] CC without event [%] CC All [%]
(i) All (5 parameters) 0.81 0.70 80.76 70.17 72.10
(i) MASLD( +) subgroup (5 parameters) 0.68 0.80 67.53 79.55 77.19
(ii) MASLD( +) subgroup (3 parameters) 0.69 0.75 69.07 74.65 73.56
(i) MASLD(−) subgroup (5 parameters) 0.84 0.74 83.74 74.07 75.67
(iii) MASLD(−) subgroup (2 parameters) 0.84 0.70 83.74 70.37 72.58

The best results in the subgroup analysis are boldfaced