Table 2.
Characteristics of the included studies comparing severe and non-severe COVID-19 patients.
| Author | Year | Country | Participants (male) |
Median/mean age (IQR/SD) | Comorbidities (n) |
AGR mean in severe patients | AGR mean in non-severe patients | Cut-off | ||
|---|---|---|---|---|---|---|---|---|---|---|
| Diabetes mellitus | Hypertension | Obesity | ||||||||
| Fu L et al. | 2020 | China | 350 (190) | NR | 145 | 125 | NR | 1.37 (0.37) | 1.37 (0.22) | NR |
| Guiling L et al. | 2020 | China | 107 (53) | 65 (60–70) | 12 | 44 | NR | 1.32 (0.22) | 1.47 (0.22) | NR |
| Gemcioglu E et al. | 2021 | Turkey | 301 (161) | 45 (24) | 107 | 169 | 4 | 1.46 (0.59) | 1.87 (0.39) | 1.52 |
| Cao Z et al. | 2020 | China | 80 (38) | 53 (20) | 6 | 20 | NR | 0.8 (0.2) | 1.1 (0.2) | NR |
| Shi S et al. | 2021 | China | 87 (49) | 60 (22–88) | NR | NR | NR | 0.91 (0.25) | 1.24 (0.23) | 1 |
| Yang R et al. | 2020 | China | 495 (235) | 55 (40–67) | 47 | 137 | NR | 1.21 (0.24) | 1.50 (0.31) | NR |
| Tsui E et al. | 2020 | China | 535 (264) | 37.8 (18) | 33 | 87 | NR | 1.01 (0.30) | 1.33 (0.30) | NR |
| Bennouar S et al. | 2020 | Algeria | 330 (206) | 66.6 (9) | NR | NR | NR | 1.0 (0.18) | 1.43 (0.3) | 1.15 |
| Huang Jiana et al. | 2021 | China | 98 (46) | 44 (33–62) | 7 | 19 | NR | 1.23 (0.22) | 1.39 (0.24) | NR |
| Mishra C et al. | 2021 | India | 500 (308) | 60 (16.3) | 126 | 259 | NR | 0.94 (0.23) | 1.16 (0.3) | NR |
| Wang Changzheng et al. | 2020 | China | 45 (23) | 39 (18–62) | 4 | 4 | NR | 1.23 (0.23) | 1.71 (4.02) | NR |
| Fang Z et al. | 2020 | China | 239 (118) | 54.87 (14) | 14 | 28 | NR | 1.32 (0.28) | 1.54 (0.3) | NR |
| Wang Menghan et al. | 2021 | China | 151 (64) | 63 (14) | 32 | 60 | NR | 0.96 (6.84) | 1.32 (0.29) | NR |
| Zhao C et al. | 2021 | China | 172 (82) | 65 (57–71) | 27 | 63 | NR | 1.09 (0.28) | 1.42 (0.37) | NR |
| Kalal CR et al. | 2021 | India | 134 (89) | 45.5 (18–86) | 31 | 40 | NR | 1.07 (0.22) | 1.4 (0.29) | NR |
| Huang Juan et al. | 2020 | China | 1187 (537) | 55 (32–76) | NR | 309 | NR | 1.36 (0.33) | 1.52 (0.37) | NR |
| Shang H et al. | 2020 | China | 514 (271) | 54 (48–68) | 99 | 222 | NR | 0.9 (0.29) | 1.02 (0.22) | NR |
| Chen Xu et al. | 2020 | China | 291 (145) | 46 (34–59) | 22 | 39 | NR | 1.19 (0.3) | 1.33 (0.52) | 1.5 |
| Yamamoto A et al. | 2021 | Japon | 152 (74) | 53.5 (38–70) | 11 | 17 | NR | 1.02 (0.14) | 1.42 (0.22) | 1.1 |
| Barya P et al. | 2021 | India | 75 (43) | 47.51 (20–90) | 16 | 4 | NR | 0.89 (0.28) | 1.43 (0.28) | 1.1 |
| Fang Hu et al. | 2020 | China | 91 (40) | 47.53 (15) | 9 | 17 | NR | 1.24 (0.18) | 1.38 (0.22) | NR |
| Qi J et. al | 2020 | China | 104 (47) | 42 (33–56) | NR | NR | NR | 1.1 (0.14) | 1.32 (0.24) | 1.2 |
| Xu F et al. | 2020 | China | 251 (132) | 60 (16) | NR | NR | NR | 0.82 (0.22) | 1.1 (0.29) | NR |
| Dai Wanfa et al. | 2020 | China | 61 (40) | 50 (17) | 6 | 16 | NR | 1.12 (0.23) | 1.43 (0.51) | NR |
| Bing H et al. | 2020 | China | 53 (28) | 50 (27–68) | NR | NR | NR | 1.1 (0.29) | 1.75 (0.44) | NR |
NR: NOT REPORTED.