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. 2021 Jun 17;12:668324. doi: 10.3389/fgene.2021.668324

Table 2.

AUC comparison of miRNAs and conventional biomarkers.

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.