| Literature DB >> 33196669 |
Qixin Yang1,2, Xiyao Yang1.
Abstract
BACKGROUND: The novel coronavirus is pandemic around the world. Several researchers have given the evidence of impacts of COVID-19 on the respiratory, cardiovascular and gastrointestinal system. Studies still have debated on kidney injury of COVID-19 patients. The purpose of the meta-analysis was to evaluate the association of kidney impairment with the development of COVID-19.Entities:
Mesh:
Year: 2020 PMID: 33196669 PMCID: PMC7668576 DOI: 10.1371/journal.pone.0241953
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Study characteristics including number, location, age, sex and kidney impairment of patients of the 24 included studies.
| Studies | Study period | Number of patients | location | Mean age (SD) | Sex (male,%) | Kidney metabolic diseases | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| AKI % | Increased Scr % | Increased BUN % | Increased D-dimer % | Proteinuria % | Hematuria % | ||||||
| Zhen Li et al. [ | 1/6/2020-2/21/2020 | 193 | Wuhan, Huangshi, Chongqing | 56.7(15.6) | 95(49%) | 28.5 | 10.4 | 14.0 | 58.8 | 58.9 | 44.2 |
| Yichun Cheng et al. [ | 1/28/2020-2/11/2020 | 710 | Wuhan | 61.7(14.8) | 374(52.7%) | 3.2 | 15.5 | - | 77.7 | 44.0 | 26.9 |
| Haifeng Zhou et al. [ | 2/2/2020-2/29/2020 | 178 | Wuhan | 47.7(19.3) | 72 (40.4%) | - | 0.0 | 2.8 | - | 34.9 | 28.9 |
| Fei Zhou et al. [ | 12/29/2019-1/31/2020 | 191 | Wuhan | 56.3(15.6) | 119(62%) | 14.7 | 4.3 | - | 68.0 | - | - |
| Nanshan Chen et al. [ | 1/1/2020-1/20/2020 | 99 | Wuhan | 55.5(13.1) | 67(68%) | 3.0 | - | 6.1 | 36.4 | - | - |
| Chaolin Huang et al. [ | 12/16/2019-1/2/2020 | 41 | Wuhan | 49.3(12.6) | 30(73%) | 7.3 | 9.8 | - | - | - | - |
| Qingxian Cai et al. [ | 1/11/2020-2/6/2020 | 298 | Shenzhen | 47.0(20.7) | 149(50%) | 5.7 | 4.4 | 4.0 | 35.7 | - | - |
| Weijie Guan et al. [ | 12/11/2019-1/29/2020 | 1099 | Nationwide | 46.7(17.0) | 637(58%) | 0.5 | 1.6 | - | 46.4 | - | |
| Dawei Wang et al. [ | 1/1/2020-1/28/2020 | 138 | Wuhan | 55.3(19.3) | 75(54.3%) | 3.6 | - | - | - | - | - |
| Jiatao Lu et al. [ | 1/21/2020-2/5/2020 | 577 | Wuhan | 53.3(20) | 254(44%) | - | 3.0 | - | 33.5 | - | - |
| Jinjin Zhang et al. [ | 1/16/2020-2/3/2020 | 140 | Wuhan | 57.2(14.8) | 71(50.7%) | - | - | - | 43.2 | - | - |
| Weihe Quan et al. [ | 2/25/2020-3/13/2020 | 18 | Shenzhen, Wuhan | 60.3(15.3) | NA | - | - | - | - | 22.2 | 16.7 |
| Yonghao Xu et al. [ | 2/28/2020 | 45 | Guangdong | 56.7(15.4) | 29(64.4%) | 15.6 | - | - | - | - | - |
| Guang Chen et al. [ | 12/19/2019-1/27/2020 | 21 | Wuhan | 57.0(11.1) | 17(81%) | - | - | - | - | - | - |
| Yanli Liu et al. [ | 1/2/2020-2/1/2020 | 109 | Wuhan | 54.7(17.0) | 59(54.1%) | - | - | - | - | - | - |
| Jingyuan Liu et al. [ | 1/13/2020-1/31/2020 | 61 | Beijing | 42.3(15.7) | 31(50.8%) | - | - | - | - | - | - |
| Lei Liu et al. [ | 1/11/2020-2/6/2020 | 51 | Chongqing | 43.3(12.6) | 32(63%) | - | - | - | - | - | - |
| Zhichao Feng et al. [ | 1/17/2020-2/1/2020 | 141 | Hunan | 44.3(15.3) | 72(51.1%) | - | - | - | - | - | - |
| Hongzhou Lu et al. [ | 1/20/20-2/19/2020 | 265 | Shanghai | NA | NA | - | - | - | - | - | - |
| Saurabh Aggarwal et al. [ | 3/1/2020-4/4/2020 | 43 | Jersey, USA | 66.7(42.2) | 32(74.4%) | 68.8 | 68.8 | - | - | - | - |
| Spinello Antinori et al. [ | 2/23/2020-3/20/2020 | 35 | Italy | 61.0(13.3) | 26(74.3%) | 22.8 | - | - | - | - | - |
| Matthew J Cummings et al. [ | 3/2/2020-4/1/2020 | 257 | New York, USA | 61.7(15.6) | 171(66.5%) | - | - | - | - | 0.9 | - |
| Matt Arentz et al. [ | NA | 21 | Seattle, USA | 68.3(36.3) | 11(52.4%) | 19.1 | - | - | - | - | - |
| Jamie S. Hirsch et al. [ | 3/1/2020-4/5/2020 | 5449 | New York, USA | 63.7(17.0) | 3317(60.9%) | 36.6 | - | - | - | - | - |
AKI, acute kidney injury; Scr serum creatinine; BUN blood urea nitrogen.