Table 2

Demographic and clinical characteristics of patients from 79 COVID-19 studies

IDCountryStudy author(s)YearSS (N)Age in years
n (%)
(n/n)AKI
n (%)
CRRT
n (%)
Severe disease
n (%)
Deaths
n (%)
1ChinaBicheng Zhang202082<60, 16 (19.5)
≥60, 66 (81.5)
54/2826 (31.7)NANA82 (100.0)
2ChinaXiaomin Luo2020403<60, 232 (57.6)
≥60, 171 (42.4)
193/21057 (14.1)NA205 (50.9)100 (24.8)
3ChinaWen Zhao202077<65, 55 (71.4)
≥65, 22 (28.6)
34/432 (2.6)NA20 (26.0)5 (6.5)
4ChinaHua Fan2020101<60, 22 (21.8)
≥60, 89 (78.2)
64/378 (7.9)8 (7.9)NA101 (100.0)
5ChinaQiao Shi2020101<60, 26 (25.7)
≥60, 75 (74.3)
41/6023 (22.8)5 (5.0)NA101 (100.0)
6ChinaJiaqiang Liao202046<60, 46 (100.0)24/213 (6.5)NA1 (2.2)NA
7ChinaGuqin Zhang2020221<65, 159 (71.9)
≥65, 62 (29.1)
108/11310 (4.5)5 (2.3)55 (24.9)NA
8ChinaYichun Cheng2020710NA374/33622 (3.1)NA252 (35.5)89 (12.5)
9ChinaQingxian Cai2020298NA149/14917 (5.7)4 (0.2)58 (19.5)NA
10ChinaLin Fu2020200<60, 102 (53.8)
≥60, 98 (46.2)
99/10145 (22.5)NANA34 (17.0)
11ChinaYi Yang202036NA30/68 (22.2)22 (61.1)NANA
12ChinaWang Wenjun202011NA1/108 (72.7)0 (0.0)11 (100.0)NA
13ChinaLuwen Wang2020116NA67/4912 (10.8)NA52 (46.8)67 (60.4)
14ChinaHuayan Xu202053NA28/255 (9.4)4 (7.5)NANA
15ChinaBo Diao202085<60, 55 (64.7)
≥60, 30 (36.3)
48/3723 (27.1)NANANA
16ChinaShijiao Yan2020168<65, 135 (80.4)
≥65, 33 (19.6)
81/876 (3.6)NA36 (21.4)6 (3.6)
17ChinaDi Qi2020267<50, 138 (51.7)
≥50, 129 (48.3)
149/1184 (1.5)0 (0.0)50 (18.7)4 (1.5)
18ChinaChengfeng Qiu2020104<60, 90 (86.5)
≥60, 14 (13.5)
49/552 (1.9)NA16 (15.4)1 (1.0)
19ChinaYang Tao2020167<60, 140 (83.8)
≥60, 27 (16.2)
NA0NA22 (13.2)NA
20ChinaZonghao Zhao202075<60, 62 (82.7)
≥60, 13 (17.3)
42/3315 (20.0)NANANA
21ChinaYang Xu202069<60, 42 (60.9)
≥60, 27 (39.1)
35/340 (0)NA25 (36.2)1 (1.4)
22ChinaGuang Chen202021<50, 6 (28.6)
≥50, 15 (71.4)
17/41 (4.8)NA11 (52.4)NA
23ChinaYonghao Xu202045NA29/167 (15.6)4 (8.9)25 (55.6)NA
24ChinaXiaofan Lu2020244NA128/11651 (20.9)NA87 (35.7)NA
25ChinaZhen Li2020193NA95/9855 (28.5)7 (3.6)65 (33.7)32 (16.6)
26ChinaYi Zheng202034NA23/117 (20.6)5 (14.7)15 (44.1)0
27ChinaAo-Xiang Guo2020159<60, 26 (16.4)
≥60, 133 (83.6)
99/609 (5.3)NANA121 (76.1)
28ChinaXiufeng Jiang202055NA27/283 (5.5)NA8 (14.5)NA
29ChinaLing Hu2020323<65, 212 (65.6)
≥65, 111 (34.4)
166/15717 (5.3)72 (22.3)146 (45.2)26 (8.0)
30ChinaGuanhua Xiao2020287NA160/12755 (19.2)NA124 (43.2)19 (6.6)
31ChinaXuelian Liao202081<65, 58 (71.6)
≥65, 23 (28.4)
51/306 (7.4)5 (6.2)NANA
32ChinaYan Zhang2020258NA135/1237 (2.7)NANA15 (5.8)
33ChinaXiaobo Yang202052<60, 25 (48.1)
≥60, 27 (51.9)
35/1715 (28.8)9 (17.3)NA20 (38.5)
34ChinaChaolin Huang202041NA30/113 (7.3)3 (7.3)NA6 (14.6)
35ChinaDawei Wang2020138NA75/635 (3.6)2 (1.4)NANA
36ChinaYingxia Liu202012<60, 5 (41.7)
≥60, 7 (58.3)
8/42 (16.7)NANANA
37ChinaXiao Wei Xu202063<65, 60 (96.8)
≥65, 2 (3.2)
36/273 (4.5)NANANA
38ChinaNanshan Chen202099<60, 62 (62.6)
≥60, 37 (37.4)
67/329 (9.1)9 (9.1)NA11 (11.0)
39ChinaXu S2020355NA193/16256 (15.8)NA32 (24.2)32 (24.2)
40ChinaTie Long Chen2020203NA108/9522 (12.3)NANA19 (9.4)
41ChinaTao Chen2020274<60, 121 (44.2)
≥60, 153 (55.8)
171/10329 (10.5)3 (1.1)NA113 (41.2)
42ChinaYichun Cheng2020701NA367/33436 (5.1)NANA113 (16.1)
43ChinaYan Deng2020225NA124/10120 (8.9)NA95 (42.2)109 (48.4)
44ChinaShaoqing Lei202034NA14/202 (5.9)1 (2.9)15 (44.1)7 (20.6)
45ChinaXun Li202025NANA12 (48.0)NANA25 (100.0)
46ChinaTao Chen202054NA34/2029 (53.7)NA54 (100)NA
47ChinaPei G2020333NA182/15122 (6.6)NA189 (56.8)29 (8.7)
48ChinaShaobo Shi2020416NA205/2118 (1.9)2 (0.5)NA57 (13.7)
49ChinaSu H202026NA7/199 (34.6)5 (19.2)NA26 (100.0)
50ChinaWang D2020107<60, 71 (66.4)
≥60, 36 (33.6)
57/5014 (13.1)NANA19 (17.8)
51ChinaYang R2020212<65, 150 (70.8)
≥65, 62 (29.2)
107/10528 (13.2)NANA25 (11.8)
52ChinaZhang X2020645NA328/3172 (0.3)0 (0.0)64 (9.9)NA
53ChinaXiaobo Feng2020114<65, 52 (45.6)
≥65, 62 (54.4)
71/4335 (30.7)2 (1.8)NA9 (7.9)
54ChinaRong Yin2020106<65, 20 (18.9)
≥65, 86 (81.1)
64/427 (6.6)3 (2.8)59 (55.7)8 (7.5)
55ChinaPuyu Shi2020134<65, 114 (85.1)
≥65, 20 (14.9)
65/693 (2.2)1 (0.7)46 (34.3)1 (0.7)
56ChinaXiaolong Qi202021NA11/101 (4.8)2 (9.5)NA5 (23.8)
57ChinaJie Chen20201087NA452/635104 (9.5)NANA20 (1.8)
58ChinaJianguo Zhang2020135NA67/6811 (8.1)NA30 (22.2)12 (8.9)
59ChinaJia Huang2020414<55, 268 (64.7)
≥55, 146 (35.3)
167/2476 (1.4)5 (1.2)92 (22.2)3 (0.7)
60SpainAlberto M Borobia20202226NA1074/1152173 (7.7)NA75 (3.3)460 (20.7)
61USALili Chan20203235NA1868/13671406 (43.5)280 (8.7)NA638 (19.7)
62FranceSébastien Rubin202071NA55/1657 (80.3)6 (8.5)71 (100.0)4 (5.6)
63KuwaitSulaiman Almazeedi20201096<65, 1016 (92.7)
≥65, 80 (7.3)
888/20814 (1.3)5 (0.5)19 (1.7)19 (1.7)
64USASachin J Shah202026NANA10 (38.5)1 (3.8)NA1 (3.8)
65USAAhmad Khan20206056<65, 1617 (26.7)
≥65, 4439 (73.3)
2383/3671528 (8.7)71 (11.7)598 (9.9)367 (9.9)
66MexicoRahul Shekhar202050NANA13 (26.0)12 (24.0)13 (26.0)10 (20.0)
67EnglandSimon Brill2020450<60, 137 (30.4)
≥60, 313 (69.6)
272/17885 (18.9)NA56 (12.4)173 (38.4)
68GermanyGagiannis D202022NA12/103 (13.6)NA11 (50.0)4 (18.2)
69SpainAdrián Sánchez-Montalvá202082NA52/309 (10.0)0 (0)14 (17.1)22 (26.8)
70USARaef Fadel2020213NA109/114101 (47.4)NA26 (12.2)39 (18.3)
71SwitzerlandJean Regina2020200<65, 86 (43.0)
≥65, 114 (57.0)
120/8030 (15.0)NA36 (18.0)25 (12.5)
72USALeonidas Palaiodimos2020200<65, 104 (52.0)
≥65, 96 (48.0)
98/10270 (3.50)16 (8.0)32 (16.0)48 (24.0)
73IranGhasem Janbabaei202018 754<60, 7104 (37.9)
≥60, 11 650 (62.1)
NA300 (16.0)131 (0.7)1444 (7.7)2738 (14.6)
74GlobalRand Alattar202025NA23/22 (8.0)NA21 (84.0)3 (12.0)
75ItalySpinello Antinori202035NA26/98 (22.9)NA18 (51.4)4 (11.4)
76GermanyE M Junga20205NA5/05 (100.0)3 (60.0)5 (100.0)NA
77Hong Kong
China
Lowell Ling20208NA4/42 (25.0)2 (25.0)8 (100.0)1 (12.5)
78PortugalMadanelo M2020122NANA4 (3.3)NANANA
79USASafiya Richardson20205700NA3437/22631370 (24.0)225 (3.9)1281 (22.5)553 (9.7)
  • AKI, acute kidney injury; CRRT, continuous renal replacement therapy; NA, not available.