Table 2.
Study ID | Inclusive criteria | miRNA | AUC/Sensitivity/Specificity | ||||||
---|---|---|---|---|---|---|---|---|---|
Author/year/ country |
Control group (N) | Case group (N) | miRNA | Combination value | cTnI | hs-cTnT | cTnT | CKMB | |
Agiannitopoulos et al. (2018)/ Greek |
non-AMI (50) | AMI (80) | miR-208b | 0.999/98%/100% | 0.940 | ||||
miR-499a-5p | 0.999/98%/100% | ||||||||
Liu et al. (2018)/ China |
non-AMI (30) | NSTEMI (145) | miR-1-3p | 0.773 | 0.778 | ||||
miR-133 | 0.928 | ||||||||
miR-208a-3p | 0.994 | ||||||||
miR-499a-5p | 0.994 | ||||||||
Vengatapathy et al. (2019)/ India |
non-AMI (60) | AMI (60) | miR-499a-5p | 0.974/93.33%/86.67% | 0.924/90%/81.56% | 0.893/86.67%/71.67% | |||
Devaux et al. (2012)/ Luxembourg |
non-AMI (87) | STEMI; NSTEMI (510) | miR-208b | 0.9/79%/100% | 0.97/93%/98% | ||||
miR-499a-5p | 0.97/95%/100% | ||||||||
Zhong et al. (2014)/ China |
non-AMI (145) | AMI (156) | miR-19a-3p | 0.997 | 0.717 | 0.511 | |||
Zhang et al. (2018)/ China |
non-AMI (60) | STEMI (80) | miR-23b-3p | 0.809 | 0.783 | 0.753 | |||
He et al. (2017)/ China |
non-AMI (30) | AMI (27) | miR-126-3p | 0.992/96.7%/93.3% | 0.787 | 0.863 | |||
Zhu et al. (2016)/ China |
non-AMI (60) | AMI (60) | miR-181a-5p | 0.834/89.8%/82.6% | 0.873 | 0.816 | |||
Su T. et al. (2020)/ China |
non-AMI (163) | AMI (174) | miR-1-3p | 0.863/87.9%/80.4% | 0.862/79.3%/91.4% | 0.719/57.5%/94.5% | |||
Zhang et al. (2016)/ China |
non-AMI (10) | AMI (17) | miR-21-5p | 0.892 | 1.000 | 0.66 | |||
Su et al. (2019)/ China |
non-AMI (167) | AMI (174) | miR-1-3p | 0.863/87.9%/80.2% | 0.931/86.2%/90.4%* | 0.864/79.3%/91.6% | |||
Wang et al. (2010)/ China |
non-AMI (33) | AMI (33) | miR-1-3p | 0.847/33.3%/100% | 0.987 | ||||
miR-133a | 0.867/15.2%/100% | ||||||||
miR-208a | 0.965/90.9%/100% | ||||||||
miR-499a-5p | 0.822/36.4%/100% | ||||||||
Li C. et al. (2013)/ China |
non-AMI (100) | AMI (117) | miR-1-3p | 0.696 | 0.811# | 0.800 | 0.683 | ||
miR-134 | 0.657 | ||||||||
miR-186-5p | 0.715 | ||||||||
miR-208a-3p | 0.778 | ||||||||
miR-223-3p | 0.741 | ||||||||
miR-499a-5p | 0.755 | ||||||||
Li Y. Q. et al. (2013)/ China |
non-AMI (32) | AMI (67) | miR-1-3p | 0.826 | 0.982 | ||||
miR-133a | 0.9468 | ||||||||
miR-208b | 0.8899 | ||||||||
miR-499a-5p | 0.884 | ||||||||
Li L. M. et al. (2014)/ China |
non-AMI (28) | AMI (56) | miR-1-3p | 0.854 | 0.959 | ||||
Robinson et al. (2018)/ Germany |
non-AMI (20) | STEMI (24) | miR-21-5p | 0.6083 | 0.9432 | ||||
miR-208a | 0.6917 | ||||||||
miR-499a-5p | 0.8417 | ||||||||
Dai et al. (2020)/ China |
non-AMI (50) | AMI (88) | miR-32-5p | 0.949/92%/84% | 0.993 | ||||
Zhang et al. (2017)/ China |
non-AMI (35) | AMI (42) | miR-92a-3p | 0.888 | 0.912 | ||||
Ke-Gang et al. (2016)/ China |
non-AMI (79) | AMI (233) | miR-133a | 0.667/61%/68% | 0.964/90%/90% | 0.867/74%/93% | |||
Yuan et al. (2016)/ China |
non-AMI (110) | AMI (102) | miR-133a | 0.870 | 0.881 | 0.778 | |||
He et al. (2014)/ China |
non-AMI (30) | AMI (359) | miR-134 | 0.818/79%/77.1% | 0.962/82.1%/92.5% | ||||
miR-328 | 0.887/86.3%/74.6% | ||||||||
Coskunpinar et al. (2016)/ Turkey |
non-AMI (16) | AMI (27) | miR-221-3p | 0.881 | 0.954 | ||||
Li P. et al. (2019)/ China |
non-AMI (10) | AMI (41) | miR-208a-3p | 0.868 | 0.992 | ||||
miR-494 | 0.839 | ||||||||
miR-499a-5p | 0.852 | ||||||||
miR-1303 | 0.884 | ||||||||
Gidlöf et al. (2013)/ Sweden |
non-AMI (88) | STEMI; NSTEMI (319) | miR-1-3p | 0.57 | 0.95 | ||||
miR-208b | 0.82 | ||||||||
miR-499a-5p | 0.79 | ||||||||
Devaux et al. (2015)/ Luxembourg |
non-AMI (931) | AMI (224) | miR-208b | 0.76/64.7%/80.2% | 0.94* | 0.94 | |||
0.86* | 0.84 | ||||||||
miR-499a-5p | 0.65/35.7%/90.3% | 0.94* | 0.94 | ||||||
0.84* | 0.84 | ||||||||
Zhao et al. (2015)/ China |
non-AMI (60) | AMI (59) | miR-499a-5p | 0.915/86.37%/93.47% | 0.971/93.12%/100% |
non-AMI: healthy volunteers, or subjects without MI/AMI/cardiovascular disease; AMI: patients with AMI/STEMI/NSTEMI; N: sample size;
the AUC of combination of miRNAs with classical biomarkers.
the AUC of combined miRNAs.