| Literature DB >> 36172213 |
Letian Yang1, Jian Li2, Wei Wei1, Cheng Yi2, Yajun Pu1, Ling Zhang1, Tianlei Cui1, Liang Ma1, Juqian Zhang3, Jay Koyner4, Yuliang Zhao1, Ping Fu1.
Abstract
Background: This umbrella review aims to consolidate evidence from systematic reviews and meta-analyses investigating the impact of the coronavirus disease-2019 (COVID-19) on kidney health, and the associations between kidney diseases and clinical outcomes in COVID-19 patients.Entities:
Keywords: COVID-19; acute kidney injury; chronic kidney disease; kidney transplant; renal replacement therapy
Mesh:
Year: 2022 PMID: 36172213 PMCID: PMC9511113 DOI: 10.3389/fpubh.2022.963667
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Figure 1The flowchart of the study search and selection process.
The characteristics of 30 reviews at low risk of bias.
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| Izcovich, A. | 2020 | April 28, 2020 | 207 | 75,607 | ( |
| Mesas, A. E. | 2020 | July 27, 2020 | 60 | 51,225 | ( |
| Wang, B. | 2020 | March 1, 2020 | 6 | 1,558 | ( |
| Luo, L. | 2020 | July, 2020 | 124 | NA | ( |
| Lim, M. A. | 2020 | April 11, 2020 | 15 | 3,615 | ( |
| Oltean, M. | 2020 | June 4, 2020 | 12 | 204 | ( |
| Ssentongo, P. | 2020 | July 9, 2020 | 25 | 65,484 | ( |
| Hansrivijit, P. | 2020 | April 24, 2020 | 26 | 5,497 | ( |
| Zhou, S. | 2020 | June 16, 2020 | 58 | 13,452 | ( |
| Zhang, T. | 2020 | April 10, 2020 | 16 | 3,975 | ( |
| Papadopoulos, V. P. | 2020 | January 7, 2021 | 41 | NA | ( |
| Zhou, Y. | 2020 | April 26, 2020 | 52 | 21,164 | ( |
| Fu, E. L. | 2020 | May 29, 2020 | 142 | 49,048 | ( |
| Lee, A. C. | 2021 | May 25, 2020 | 36 | 22,573 | ( |
| Kremer, D. | 2021 | January 18, 2021 | 74 | 5,559 | ( |
| Mirjalili, H. | 2021 | January 10, 2020 | 10 | 11,755 | ( |
| Zhang, L. | 2021 | September 29, 2020 | 34 | 344,431 | ( |
| Du, P. | 2021 | October 22, 2020 | 17 | 7,611 | ( |
| Chang, R. | 2021 | May 1, 2020 | 28 | 12,437 | ( |
| Schlesinger, S. | 2021 | October 10, 2020 | 22 | 17,687 | ( |
| Menon, T. | 2021 | November, 2020 | 20 | 4,350 | ( |
| Liu, Y. F. | 2021 | April 13, 2020 | 36 | 6,395 | ( |
| Li, Y. | 2021 | May 2020 | 40 | NA | ( |
| Dessie, Z. G. | 2021 | August 31, 2020 | 42 | 423,117 | ( |
| Chan, K. W. | 2021 | October 5, 2020 | 74 | NA | ( |
| Chung, E. Y. | 2021 | February 22, 2021 | 348 | 1,139,979 | ( |
| Taylor, E. H. | 2021 | February 21, 2021 | 58 | 44,305 | ( |
| Ho, Q. Y. | 2021 | September 5, 2020 | 23 | 1,373 | ( |
| Shi, Q. | 2021 | July, 2021 | 56 | 79,104 | ( |
| Cai, X. | 2021 | January 30, 2021 | 38 | 42,779 | ( |
The incidence of AKI in COVID-19 patients.
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| Zhou, S., 2020 | 58 | All COVID-19 patients | 9% (4.2–15.2%) | NA | ( |
| Hansrivijit, P., 2020 | 26 | All COVID-19 patients | 8.4% (6.0–11.7%) | 88.9% | ( |
| Critically ill COVID-19 patients | 19.9% (11.8–31.5%) | 48.4% | |||
| Hospitalized COVID-19 patients | 7.3% (5.0–10.4%) | 89.5% | |||
| Fu, E. L., 2020 | 142 | COVID-19 patients in Asia | 5.5% (4.1–7.4%) | 94% | ( |
| COVID-19 patients in the USA and Europe | 28.6% (19.8–39.5%) | 97% | |||
| Chan, K. W., 2021 | 74 | All COVID-19 patients | 20.4% (12.07–28.74%) | 99.72% (<0.001) | ( |
| COVID-19 patients with kidney transplant history | 35.99% (26.20–45.79) | NA | |||
| Pediatric COVID-19 patients | 16.11% (5.14–27.08) | NA | |||
| Chung, E. Y., 2021 | 348 | Patients with COVID-19 and CKD | 7.3% (6–8.7%) | NA | ( |
| Chang, R., 2021 | 28 | COVID-19 patients admitted to ICU | 32% (13–58%) | 96.49 % (<0.01) | ( |
Figure 2Meta-analysis of incidence of AKI in a random effect model.
Figure 3The risk factors for AKI in COVID-19 patients. CKD, chronic kidney disease.
The incidence of urgent RRT in COVID-19 patients.
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| Fu, E. L., 2020 | 142 | COVID-19 patients in China | 2.2% (1.5–3.3%) | 92% | ( |
| COVID-19 patients in the USA and Europe | 7.7% (5.1–11.4%) | 80% | |||
| Zhou, S., 2020 | 58 | All COVID-19 patients | 3.4% (1.9–5.4%) | NA | ( |
| Hansrivijit, P., 2020 | 26 | All COVID-19 patients | 3.6% (1.8–7.1%) | 82.2% | ( |
| Chan, K. W., 2021 | 74 | All COVID-19 patients | 2.97% (1.91–4.04%) | 93.52% (<0.001) | ( |
| COVID-19 patients with kidney transplant history | 12.65% (0.72–24.58) | NA | |||
| Pediatric COVID-19 patients | 5.54% (−1.14 to 12.21) | NA |
Figure 4Meta-analysis of incidence of urgent RRT in a random effect model.
AKI and poor outcomes in COVID-19 patients.
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| Hansrivijit, P., 2020 | 26 | AKI | Mortality | OR | 13.33 (4.05–43.91) | 85% | ( |
| Lim, M. A., 2020 | 15 | AKI | Mortality | RR | 13.38 (8.15–21.95) | 24% (0.25) | ( |
| AKI | Severity | RR | 8.12 (4.43–14.86) | 0% (0.73) | |||
| AKI | ICU admission | RR | 5.9 (1.32–26.35) | 0% (0.49) | |||
| Zhou, Y., 2020 | 52 | AKI | Mortality | OR | 45.79 (36.88–56.85) | 17% (0.31) | ( |
| AKI | Severity | OR | 6.97 (3.53–13.75) | 0% (0.501) | |||
| Papadopoulos, V. P., 2020 | 41 | AKI | Mortality | OR | 7.52 (1.96–28.9) | NA | ( |
| Dessie, Z. G., 2021 | 42 | AKI | Mortality | OR | 1.87 (1.48–2.26) | 86.53% (<0.001) | ( |
| Chang, R., 2021 | 28 | AKI | Mortality | OR | 12.47 (1.52–102.7) | 81.15% (0.005) | ( |
| Chan, K. W., 2021 | 74 | AKI | Mortality | OR | 9.03 (5.45–14.94) | 89.7% (<0.001) | ( |
| AKI | Severity | OR | 17.58 (10.51–29.38) | 63% (0.004) |
Figure 5(A) Meta-analysis of AKI and mortality in a random effect model. (B) Meta-analysis of AKI and disease severity in a random effect model.
Figure 6Meta-analysis of urgent RRT and mortality in a random effect model.
Pooled prevalence of CKD in COVID-19 patients.
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| Zhou, Y., 2020 | 52 | All COVID-19 patients | 3.52% (1.98–5.48%) | 93% (<0.01) | ( |
| Severe COVID-19 patients | 6.13% (2.81–10.64%) | 84% (<0.01) | |||
| Deceased COVID-19 patients | 6.36% (2.34–12.17%) | 81% (<0.01) | |||
| Lee, A. C., 2021 | 36 | Deceased COVID-19 patients | 9.028% (4.641–16.83%) | 90% (<0.01) | ( |
| Severe COVID-19 patients | 8.317% (3.479–18.585%) | 95% (<0.01) | |||
| Menon, T., 2021 | 20 | All COVID-19 patients | 4% (2–8%) | 95% (<0.01) | ( |
| Mirjalili, H., 2021 | 10 | All COVID-19 patients | 5% (1.9–12.4%) | NA | ( |
| Chang, R., 2021 | 28 | Severe COVID-19 patients | 9% (4–18%) | 96.97% (<0.01) | ( |
Figure 7(A) Meta-analysis of incidence of COVID-19 in the dialysis population in a random effect model. (B) Meta-analysis of prevalence of CKD in COVID-19 patients in a random effect model.
CKD and poor outcomes in COVID-19.
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| Zhou, Y., 2020 | 52 | CKD | Mortality | OR | 6.46 (3.40–12.29) | 1% (0.4) | ( |
| CKD | Severity | OR | 3.42 (2.08–5.61) | 0% (0.43) | |||
| Izcovich, A., 2020 | 207 | CKD | Mortality | OR | 2.27 (1.69–3.05) | NA | ( |
| CKD | Severity | OR | 2.21 (1.51–3.24) | NA | |||
| Luo, L., 2020 | 124 | CKD | Mortality | OR | 3.07 (2.43–3.88) | 72.9% (<0.001) | ( |
| CKD | Severity | OR | 2.2 (1.27–3.80) | 77.4% (<0.001) | |||
| Mesas, A. E., 2020 | 60 | CKD | Mortality | OR | 3.2 (2.52–4.06) | 75.8% (<0.001) | ( |
| Ssentongo, P., 2020 | 25 | CKD | Mortality | RR | 3.25 (1.13–9.28) | 84% (<0.01) | ( |
| Zhou, S., 2020 | 58 | CKD | Mortality | OR | 1.97 (1.56–2.49) | 65% (<0.00001) | ( |
| ESRD | Mortality | OR | 1.81 (1.44–2.27) | 0% (0.62) | |||
| Zhang, T., 2020 | 16 | CKD | Severity | OR | 1.26 (0.7–2.28) | 31% (0.18) | ( |
| Wang, B., 2020 | 6 | CKD | Severity | OR | 2.51 (0.93–6.78) | 0% (0.501) | ( |
| CKD | ICU admission | OR | 2.94 (0.4–21.69) | NA | |||
| Li, Y., 2021 | 40 | CKD | Mortality | OR | 1.57 (1.27–1.93) | 62.2% (0.01) | ( |
| Lee, A. C., 2021 | 36 | CKD | Mortality | OR | 8.86 (5.27–14.89) | NA | ( |
| CKD | Severity | OR | 1.92 (1.65–2.23) | NA | |||
| Zhang, L., 2021 | 34 | CKD | Mortality | OR | 8.91 (3.83–20.73) | 61% (0.05) | ( |
| CKD | Severity | OR | 3.2 (1.87–5.49) | 0% (0.46) | |||
| Mirjalili, H., 2021 | 10 | CKD | Mortality | OR | 0.552 (0.367–0.829) | 0% (0.719) | ( |
| Schlesinger, S., 2021 | 22 | CKD | Mortality | RR | 1.44 (0.96–2.15) | 83% | ( |
| CKD | Severity | RR | 1.93 (1.28–2.9) | 81% | |||
| Du, P., 2021 | 17 | CKD | Severity | OR | 3.59 (1.9–6.76) | 19% | ( |
| Liu, Y. F., 2021 | 36 | CKD | Severity | OR | 3.28 (2–5.37) | 0% (0.72) | ( |
| Menon, T., 2021 | 20 | CKD | Mortality | OR | 5.58 (3.27–9.54) | 0% (0.84) | ( |
Figure 8(A) Meta-analysis of CKD and mortality in a random effect model. (B) Meta-analysis of CKD and disease severity in a random effect model.
Figure 9Meta-analysis of mortality in KTRs with COVID-19 in a random effect model.