| Literature DB >> 35930243 |
Lianjiu Su1,2, Jiahao Zhang1, Zhiyong Peng1,3.
Abstract
The coronavirus disease-2019 (COVID-19) outbreak has been declared a global pandemic. COVID-19-associated acute kidney injury (COVID-19 AKI) is related to a high mortality rate and serves as an independent risk factor for hospital death in patients with COVID-19. Early diagnosis would allow for earlier intervention and potentially improve patient outcomes. The goal of early identification of AKI has been the primary impetus for AKI biomarker research, and several kidney injury biomarkers have been demonstrated to be beneficial in predicting COVID-19 AKI as well as disease progression in COVID-19. Furthermore, such data provide valuable insights into the molecular mechanisms underlying this complex and unique disease and serve as a molecular phenotyping tool that could be utilized to direct clinical intervention. This review focuses on a number of kidney injury biomarkers, such as CysC, NAGAL, KIM-1, L-FABP, IL-18, suPAR, and [TIMP-2] • [IGFBP7], which have been widely studied in common clinical settings, such as sepsis, cardiac surgery, and contrast-induced AKI. We explore the role of kidney injury biomarkers in COVID-19 and discuss what remains to be learned.Entities:
Keywords: Acute kidney injury; COVID-19; biomarker
Mesh:
Substances:
Year: 2022 PMID: 35930243 PMCID: PMC9359166 DOI: 10.1080/0886022X.2022.2107544
Source DB: PubMed Journal: Ren Fail ISSN: 0886-022X Impact factor: 3.222
Figure 1.Proposed pathophysiology of COVID-19-associated acute kidney injury. (a) SARS‐CoV‐2 has been shown experimentally to infect renal tubular cells through angiotensin‐converting enzyme 2 (ACE2), which has been proposed to cause direct kidney injury. (b) Downregulation of angiotensin (1–7) caused by SARS‐CoV‐2 entry through ACE2 may aggravate acute tubular injury. (c) Following SARS-CoV-2 infection, immune system develops disturbances, including inefficient viral clearance, the enhanced release of cytokines and chemokines, activation of the coagulation and complement cascades, which may contribute to AKI. (d) Endothelial injury caused by angiotensin (1–7) inhibition and immune system disturbance may further aggravate AKI. (e) Nonspecific factors, including organ crosstalk, hemodynamic instability, and drug toxicity, will also contribute to the development of AKI.
Biomarkers in COVID-19-associated AKI.
| Biomarkers | Publication | Design | Sample size | Clinic outcome | Sample type | AUC 95%CI | Cutoff value | Sensitivity (%) 95%CI | Specificity 95%CI | Reference |
|---|---|---|---|---|---|---|---|---|---|---|
| CysC | 2021 | Single‐center, retrospective, observational study | 348 | AKI | Serum | 0.96 (0.90–1.0) | 1.00 (mg/L) | 90.0 (55.5–99.75) | 88.5 (84.6–91.7) | [ |
| 2020 | Retrospective study | 101 | Mortality | Serum | 0.755 | 0.80 (mg/L) | 56.2 | 86.5 | [ | |
| 2022 | Single‐center, prospective, observational study | 52 | AKI | Serum | 0.87 (0.77–0.98) | 1.27 (mg/L) | 70.0 | 96.0 | [ | |
| Need for RRT | Serum | 0.94 (0.88–1.00) | 3.22 (mg/L) | 100.0 | 83.0 | |||||
| KIM-1 | 2021 | Prospective observational clinical trial | 80 | AKI | Urine | 0.81 | 1590 ng/g UCr | 87.5 | 65.0 | [ |
| ICU | Urine | 0.76 | 1590 ng/g UCr | 79.0 | 64.0 | |||||
| Composite endpoint (AKI/ICU-admission/death) | Urine | 0.78 | 1590 ng/g UCr | 80.0 | 66.0 | |||||
| 2022 | 2 centers, Prospective cohort study | 153 | Stage 3 AKI, requirement for dialysis, and death within 60 days | Urine | – | – | – | – | [ | |
| 2022 | Prospective study | 189 | Death | Urine | 0.749 (0.616–0.881) | 1.81 (ng/mg-Cr) | 77.0 | 70.0 | [ | |
| L-FABP | 2021 | Observational study | 123 | Severity | Urine | – | – | – | – | [ |
| 2020 | Single-center retrospective study | 58 | Severity | Urine | 0.886 | 9.0 μg/gCre | 94.1 | 84.4 | [ | |
| IL-18 | 2021 | Observational study | 58 | Severity | Serum | 0.90 (0.81-0.98) | 576 pg/mL | 78.0 | 77.0 | [ |
| suPAR | 2021 | Prospective study | 403 | Severity and Complications | Plasma | – | – | – | – | [ |
| 2021 | Prospective cohort study | 187 | Severity and mortality | Blood | 0.81 (0.72-0.88) | – | 82.0 | 65.0 | [ | |
| 2020 | Multinational observational study | 352 | AKI and the need for dialysis | Plasma | 0.741 (0.684-0.798) | – | – | – | [ | |
| 2021 | Observational study | 120 | Severity | Serum | – | – | – | – | [ | |
| NGAL | 2021 | Single-center cohort study | 174 | AKI and mortality | Urine | – | – | – | – | [ |
| 2022 | Single‐center, prospective, observational study | 52 | AKI | Serum | 0.81 (0.68-0.95) | 120(ng/L) | 64.0 | 93.0 | [ | |
| Need for RRT | Serum | 0.87 (0.75-1.00) | 190(ng/L) | 75.0 | 93.0 | |||||
| 2022 | Single‐center, prospective, longitudinal cohort study | 51 | AKI | Urine | 0.706 (0.559-0.854) | 45 (ng/mL) | 54.5 | 76.9 | [ | |
| 2022 | 2 centers, Prospective cohort study | 153 | Stage 3 AKI, requirement for dialysis, and death within 60 days | Urine | – | – | – | – | [ | |
| 2022 | Prospective study | 189 | Death | Urine | 0.750 (0.616–0.883) | 118 (ng/mg-Cr) | 76.0 | 71.0 | [ | |
| [TIMP-2] • [IGFBP7] | 2020 | Single‐center, retrospective, observational study | 23 | AKI | Urine | – | – | – | – | [ |
| 2022 | Single‐center, prospective, longitudinal cohort study | 51 | AKI | Urine | 0.682 (0.535-0.829) | 0.2 (ng/mL)2/1000 | 40.0 | 88.4 | [ |