| Literature DB >> 32984768 |
Yongqian Cheng1, Wenling Wang1, Liang Wu1, Guangyan Cai1,2.
Abstract
Coronavirus disease 2019 (COVID-19) not only causes pulmonary inflammation but also causes multiple organ damages, including the kidney. ACE2, as one of the receptors for SARS-CoV-2 intrusion, is widely distributed in kidney tissues. Currently, the diagnosis and treatment of SARS-CoV-2 infection in patients with chronic kidney disease (CKD) are still unclear. Here, we review the recent findings of characteristics of COVID-19 in CKD patients and highlight the possible mechanisms of kidney injury caused by SARS-CoV-2 infection. We then discuss the emerging therapeutic approaches aimed at reducing kidney damage and protecting kidney function including virus removal, immunotherapy, supporting treatment, special blood purification therapy, etc. Problems unresolved and challenges ahead are also discussed.Entities:
Keywords: Chronic kidney disease; Coronavirus disease 2019; Kidney injury; Pathogenesis; Treatment
Year: 2020 PMID: 32984768 PMCID: PMC7509500 DOI: 10.1007/s42399-020-00529-0
Source DB: PubMed Journal: SN Compr Clin Med ISSN: 2523-8973
Prevalence of number of main comorbidities in COVID-19 patients in each comparative study
| Study | Subtype | Participants | Age median (IQR)/mean | Comorbidities ( | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | Male ( | Any comorbidity | CKD | Diabetes | Hypertension | COPD | Cardiovascular disease | Cerebrovascular disease | Malignancy | Chronic liver disease | |||
| Guan et al. [ | Severe | 173 | 100 (57.8) | 52.0 (40.0–65.0) | 67 (38.7) | 3 (1.7) | 26 (16.2) | 41 (23.7) | 6 (3.5) | 10 (5.8) | 4 (2.3) | 3 (1.7) | 1 (0.6) |
| Non-severe | 926 | 540 (58.2) | 45.0 (34.0–57.0) | 194 (21.0) | 5 (0.5) | 53 (5.7) | 124 (13.4) | 6 (0.6) | 17 (1.8) | 11 (1.2) | 7 (0.8) | 22 (2.4) | |
| Wang et al. [ | Severe | 36 | 22 (61.1) | 66.0 (57.0–78.0) | 26 (72.2) | 2 (5.6) | 8 (22.2) | 21 (58.3) | 3 (8.3) | 9 (25.0) | 6 (16.7) | 4 (11.1) | 0 (0.0) |
| Non-severe | 102 | 53 (52.0) | 51.0 (37.0–62.0) | 38 (37.3) | 2 (2.0) | 6 (5.9) | 22 (21.6) | 1 (1.0) | 11 (10.8) | 1 (1.0) | 6 (5.9) | 4 (3.9) | |
| Zhang et al. [ | Severe | 58 | 33 (56.9) | 64.0 (25.0–87.0) | 46 (79.3) | 2 (3.4) | 8 (13.8) | 22 (37.9) | 2 (3.4) | 4 (6.9) | 2 (3.4) | NR | NR |
| Non-severe | 82 | 38 (46.3) | 51.5 (26.0–78.0) | 44 (53.7) | 0 (0.0) | 9 (11.0) | 20 (24.4) | 0 (0.0) | 3 (3.7) | 1 (1.2) | NR | NR | |
| Wu et al. [ | Severe | 83 | 45 (54.2) | 63.0 (10.2) | NR | 2 (2.4) | NR | NR | 1 (1.2) | 43 (51.8)* | 2 (2.4) | 4 (4.8) | |
| Non-severe | 197 | 106 (53.8) | 37.6 (17.1) | NR | 1 (0.5) | NR | NR | 0 (0.0) | 14 (7.1)* | 3 (1.5) | 3 (1.5) | ||
| Fang et al. [ | Severe | 24 | 18 (75.0) | 56.7 (14.4) | NR | 0 (0.0) | 4 (16.7) | 11 (45.8) | 0 (0.0) | 2 (8.3) | 3 (12.5) | 0 (0.0) | 1 (4.2) |
| Non-severe | 55 | 27 (49.1) | 39.9 (14.9) | NR | 3 (5.5) | 4 (7.3) | 5 (9.1) | 0 (0.0) | 1 (1.8) | 0 (0.0) | 1 (1.8) | 2 (3.6) | |
| Xiong et al. [ | Severe | 31 | NR | NR | NR | 1 (3.2) | 6 (19.4) | 10 (32.3) | 4 (12.9) | NR | 2 (6.5) | 3 (9.7) | 1 (3.2) |
| Non-severe | 58 | NR | NR | NR | 2 (3.4) | 8 (13.8) | 16 (27.6) | 1 (1.7) | NR | 4 (6.9) | 8 (13.8) | 0 (0) | |
| Zhou et al. [ | Survivor | 137 | 81 (59.0) | 52.0 (45.0–58.0) | 55 (40.0) | 0 (0.0) | 19 (14.0) | 32 (23.0) | 2 (1.0) | 2 (1.0) | NR | 2 (1.0) | NR |
| Non-survivor | 54 | 38 (70.0) | 69.0 (63.0–76.0) | 36 (70.0) | 2 (4.0) | 17 (31.0) | 26 (48.0) | 4 (7.0) | 13 (24.0) | NR | 0 (0.0) | NR | |
| Chen et al. [ | Severe | 25 | NR | 60 (41.8–68) | 20 (80.0) | 1 (4.0) | 4 (16) | 11 (44.0) | 2 (8.0) | 4 (16.0) | 2 (8.0) | NR | NR |
| Non-severe | 23 | NR | 49 (4.0–63.9) | 3 (13.0) | 0 (0.0) | 0 (0.0) | 1 (4.3) | 0 (0.0) | 0 (0.0) | 1 (4.3) | NR | NR | |
| Chen et al. [ | Survivor | 48 | NR | NR | 23 (47.9) | 1 (2.0) | 4 (8.3) | 12 (25.0) | 2 (4.2) | 4 (8.3) | 3 (6.2) | NR | NR |
| Non-survivor | 6 | NR | 70.0 (69.3–77.5) | 4 (66.7) | 0 (0.0) | 0 (0.0) | 1 (16.7) | 1 (16.6) | 2 (33.3) | 0 (0.0) | NR | NR | |
*Means cardiovascular disease and cerebrovascular disease
n number, NR not reported, CKD chronic kidney disease, COPD chronic obstructive pulmonary disease
Renal test abnormalities from various COVID-19 studies
| Study | Number | Age (median or mean) | Serum creatinine increased | Blood urea nitrogen increased | Proteinuria | Hematuria | AKI | |
|---|---|---|---|---|---|---|---|---|
| Cheng et al. [ | Total | 701 | 63 | 14.4% | 13.1% | 43.9% | 26.7% | 5.1% |
| Elevated baseline Scr | 101 | 73 | – | – | 69.8% | 52.8% | 11.9% | |
| Normal baseline Scr | 600 | 61 | – | – | 40.4% | 23.1% | 4% | |
| Li et al. [ | Total | 193 | 57 | 10% | 14% | 59% | 44% | 28% |
| Severe | 65 | 66 | 20% | 29% | 65% | 45% | 66% | |
| Non-severe | 128 | 55 | 5% | 6% | 55% | 44% | 9% | |
| Wang et al. [ | Total | 116 | 54 | 10.8%* | 7.2% | NA | 0% | |
*Means serum creatinine or blood urea nitrogen increased
Scr serum creatinine
Fig. 1Related factors and possible treatment of COVID-19-related kidney injury
Fig. 2Possible pathogenic mechanisms related with kidney injury. a Schematic diagram of the distribution of SARS-CoV-2 in renal tissue confirmed by current studies. SARS-CoV-2 virus particles were detected in cytoplasm of proximal and distal tubular epithelium, as well as in podocytes [35]. ACE2 is mainly distributed in the glomerular visceral and parietal epithelium, in the brush border and cytoplasm of proximal tubular cells, and in the cytoplasm of distal tubules and collecting ducts [29]. Decreased pressure of the glomerular artery and direct viral damage may be associated with glomerular lesions. The main pathological findings were fibrin thrombi and ischemic glomerular contraction [35]. b Schematic diagram of pathological damage of proximal convoluted tubules and peritubular capillaries of the kidney. Inflammatory cell infiltration, release of inflammatory cytokines, chemokine, and others caused renal tubular injury. Erythrocyte aggregates obstructed peritubular capillaries, and debris comprised of necrotic epithelium accumulated in tubular lumens [35]. c SARS-CoV-2 invades renal tubule-associated molecules. Schematic diagram of proteins associated with SARS-CoV-2 invasion into proximal tubule cell