| Literature DB >> 32758363 |
Dhwanil Patel1, Tiffany Truong2, Nikhil Shah3, Gates B Colbert4, Beje Thomas5, Juan Carlos Q Velez6, Edgar V Lerma7, Swapnil Hiremath8.
Abstract
Coronavirus disease-2019 (COVID-19) has caused a pandemic that has affected millions of people worldwide. COVID-19 is caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and is spread by close contact and by respiratory droplets. It has also impacted different aspects of caring for people with kidney disease, including those with acute kidney injury (AKI), chronic kidney disease (CKD), those requiring kidney replacement therapy (KRT), and those with a kidney transplant. All of these patients are considered high risk. The lessons learned from the COVID-19 pandemic will hopefully serve to protect patients with kidney disease in a similar situation in the future.Entities:
Mesh:
Year: 2020 PMID: 32758363 PMCID: PMC7381936 DOI: 10.1016/j.disamonth.2020.101057
Source DB: PubMed Journal: Dis Mon ISSN: 0011-5029 Impact factor: 3.800
Summary of 5 largest reports of COVID-19 and AKI (CoV-AKI) reporting the incidence of AKI and need for kidney replacement therapy. AKI: Acute Kidney Injury; Coronavirus Disease-2019: COVID-19; ICU: Intensive Care Unit; ICNARC: Intensive Care National Audit and Research center; Kidney Replacement Therapy: (KRT).
| Center | Description | Number of patients admitted with COVID-19 | AKI incidence – all hospitalized patients | Requiring KRT – hospitalized patients | AKI incidence – ICU patients | Requiring KRT – of total ICU patients | Mortality rate with AKI | |
|---|---|---|---|---|---|---|---|---|
| Mainland | Multi-center in multiple health systems | 1099 | 6 (0.5%) | 9 (0.8%) | n/a | n/a | n/a | |
| Northwell, NY | Multi-center in single health system | 5449 | 1993 (37)%) | 285 (14.3%) | 1060 (76%) | 276 (19.7%) | n/a | |
| Ochsner, LA | Single Center | 575 | 161 (28%) | 89 (55%) | 105 (61%) | 76 (44%) | 50% | |
| Mt Sinai, NY | Multi-center in single health system | 3235 | 1406 (43%) | 280 (20%) | 553 (68%) | 277 (34%) | 52% | |
| Database of ICUs in England, Wales and Northern Ireland | Multi-center in multiple health systems | 9949 | n/a | n/a | n/a | 2393 (24%) | n/a | |
Incidence and outcomes with COVID-19 in chronic hemodialysis populations.
| Study | Setting | Incidence of COVID-19 | Mortality rate with COVID-19 |
|---|---|---|---|
| UK Renal Registry | UK | 2211 cases (~4.9%) | 498 (22.5%) |
| ERA-EDTA registry | European registry | 278 cases | 20% |
| Xiong et al. | 65 centres in Wuhan, China | 154 cases of 7154 (2.2%) | 41 (26.6%) |
| Alberici et al. | Four dialysis centers of the Brescia Renal COVID Task Force, Lombardy, Italy | 94 cases of 643 (15%) | 24 (25.5%) |
UK: United Kingdom; ERA-EDTA: European Renal Association and European Dialysis and Transplantation Association.
Fig. 1Sample protocol for peritoneal dialysis (PD) in acute kidney injury. ICU: Intensive Care unit..
Advantages and Disadvantages in urgent start PD. ICU: intensive care unit; IR: interventional radiology.
| Peritoneal Dialysis In Acute Kidney Injury in ICU during COVID19 Pandemic | |
|---|---|
| Advantages | Disadvantages |
| Relatively simple to insert bedside PD catheters for ICU patients by IR/Surgeons or Interventional Nephrologists | Precise ultrafiltration is slightly more difficult |
| Avoid vascular access and need for anticoagulation | May need innovative exit sites and dialysis scheduling to accommodate prone ventilation. |
| Intra-abdominal pressure may be affected by prone positioning | |
Fig. 2Transplant Rates during COVID-19 Pandemic. Reproduced with permission by the United Network for Organ Sharing (UNOS). Sourced at https://unos.org/covid.
List of potential COVID-19 treatments with drug interactions with commonly used immunosuppressants (from Nephjc http://www.nephjc.com/news/covidtx).
| Drug | Dose reported in COVID-19 trials | Dose adjustment in CKD? | Drug Interactions in Transplant | Other considerations |
|---|---|---|---|---|
| 200 mg x 1 then 100 mg daily | ? None | None reported | CrCl < 30 exclusion in most trials | |
| 400 mg / 100 mg twice daily | None | ↑Cyclosporine, tacrolimus levels | Both highly protein bound | |
| CQ: 500 – 1000 mg a day (or 10 mg/kg) | None | ↑Cyclosporine, tacrolimus, sirolimus levels | ~ 50–70% protein bound; high volume of distribution | |
| 800 mg / 100 mg daily | None | ↑Cyclosporine, tacrolimus levels | Both highly protein bound | |
| 1200 mg twice daily for 2 days then 600 mg 2–3 times a day | ?Yes | None reported | ~50% protein bound | |
| 8 mg/kg (up to max 800 mg) | None | ↓Cyclosporine, tacrolimus, sirolimus levels | ||
| 0.5 mg twice daily | Yes | ↑Cyclosporine, tacrolimus levels | High volume of distribution; ~40% protein bound | |
Names in italics refer to brand names.
This is a common reported exclusion, due to the potential toxicity of the excipient.
Dose in gout is usually 0.6 mg, this dose is reported for the COLCORONA trial.
These drugs do have some clearance by kidneys, so accumulation with occur with chronic dosing, not relevant in the COVID-19 setting.
CrCl < 30 an exclusion in the COLCORONA trial
CQ: chloroquine; HCQ: hydroxychloroquine; CrCl: creatinine clearance.