| Literature DB >> 32947798 |
Smaragdi Marinaki1, Stathis Tsiakas1, Maria Korogiannou1, Konstantinos Grigorakos2, Vassilios Papalois3,4, Ioannis Boletis1.
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has posed a significant challenge to physicians and healthcare systems worldwide. Evidence about kidney transplant (KTx) recipients is still limited. A systematic literature review was performed. We included 63 articles published from 1 January until 7 July 2020, reporting on 420 adult KTx recipients with confirmed COVID-19. The mean age of patients was 55 ± 15 years. There was a male predominance (67%). The majority (74%) were deceased donor recipients, and 23% were recently transplanted (<1 year). Most patients (88%) had at least one comorbidity, 29% had two, and 18% three. Ninety-three percent of cases were hospitalized. Among them, 30% were admitted to the intensive care unit, 45% developed acute respiratory distress syndrome, and 44% had acute kidney injury with 23% needing renal replacement therapy. From the hospitalized patients a total of 22% died, 59% were discharged, and 19% were still in hospital at the time of publication. Immunosuppression was reduced in 27%, discontinued in 31%, and remained unchanged in 5%. Hydroxychloroquine was administered to 78% of patients, antibiotics to 73%, and antivirals to 30% while 25% received corticosteroid boluses, 28% received anti-interleukin agents, and 8% were given immunoglobulin. The main finding of our analysis was that the incidence of COVID-19 among kidney transplant patients is not particularly high, but when they do get infected, this is related to significant morbidity and mortality.Entities:
Keywords: COVID-19 infection; immunosuppression; kidney transplantation; outcomes; treatment
Year: 2020 PMID: 32947798 PMCID: PMC7563559 DOI: 10.3390/jcm9092986
Source DB: PubMed Journal: J Clin Med ISSN: 2077-0383 Impact factor: 4.241
Figure 1Flow diagram of the systematic literature search according to the Preferred Reported Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. COVID-19: coronavirus disease 2019.
Studies included in the analysis (Case Reports)
| Case Reports | ||||
|---|---|---|---|---|
| Authors | Region/Country | Patients (No.) | Type of Study | Hospitalized |
| [ | Ankara, Turkey | 1 | Case Report | 0 |
| [ | Fort Worth, TX, USA | 1 | Correspondence | 1 |
| [ | Florence, Italy | 1 | Correspondence | 1 |
| [ | New York, NY, USA | 1 | Correspondence | 1 |
| [ | Genoa, Italy | 1 | Case Report | 1 |
| [ | Wuhan, China | 1 | Case Report | 1 |
| [ | Nanjing, China | 2 | Case Report | 2 |
| [ | Albany, NY, USA | 1 | Case Report | 1 |
| [ | Istanbul, Turkey | 1 | Case Report | 1 |
| [ | Modena, Italy | 1 | Case Report | 1 |
| [ | Parma, Italy | 2 | Correspondence | 2 |
| [ | Barcelona, Spain | 1 | Case Report | 1 |
| [ | Ipswich, UK. | 1 | Correspondence | 1 |
| [ | Los Angeles, CA, USA | 1 | Case Report | 1 |
| [ | Fuzhou, China | 1 | Case Report | 1 |
| [ | Wuhan, China | 1 | Correspondence | 1 |
| [ | Seattle, WA, USA | 1 | Case Report | 1 |
| [ | Munich, Germany | 1 | Correspondence | 1 |
| [ | Daegu, Korea | 2 | Case Report | 2 |
| [ | Istanbul, Turkey | 2 | Case Report | 2 |
| [ | Katowice, Poland | 3 | Case Report | 3 |
| [ | Chicago, IL, USA | 1 | Case Report | 0 |
| [ | Milan, Italy | 1 | Correspondence | 1 |
| [ | Sao Paulo, Brazil | 1 | Case Report | 1 |
| [ | Wuhan, China | 1 | Correspondence | 1 |
| [ | Strasbourg, France | 1 | Correspondence | 1 |
| [ | Leiden, Netherlands | 1 | Case Report | 1 |
| [ | Semnan, Iran | 1 | Case Report | 1 |
| [ | Hefei, China | 1 | Case Report | 1 |
| [ | Pavia, Italy | 1 | Case Report | 1 |
| [ | Hartford, CT, USA | 1 | Case Report | 1 |
| [ | Mumbai, India | 2 | Case Report | 2 |
| [ | El Paso, TX, USA | 1 | Case Report | 1 |
| [ | New York, NY, USA | 1 | Case Report | 1 |
| [ | Orange, CA, USA | 1 | Case Report | 1 |
| [ | Bangkok, Thailand | 1 | Case Report | 1 |
| [ | Istanbul, Turkey | 1 | Correspondence | 0 |
| [ | Zhengzhou, China | 1 | Correspondence | 1 |
| [ | Wuhan, China | 1 | Correspondence | 1 |
| [ | Ottawa, Canada | 1 | Case Report | 1 |
| [ | Wuhan, China | 1 | Case Report | 1 |
Studies included in the analysis (Case Series)
| Case Series | ||||||
|---|---|---|---|---|---|---|
| Authors | Region/Country | Patients (No) | Type of Study | Hospitalized | Infection Rate (%) | CFR (%) |
| [ | Tehran, Iran | 12 | Case Series | 12 | - | 66.7 |
| [ | Bronx, NY, USA | 36 | Correspondence | 28 | - | 27.8 |
| [ | Brescia, Italy | 20 | Case Series | 20 | 1.67 | 25 |
| [ | London, UK. | 7 | Case Series | 5 | - | - |
| [ | Munich, Germany | 3 | Case Series | 3 | - | - |
| [ | Brescia, Italy | 53 | Case Series | 45 | - | 28.3 |
| [ | Brooklyn, NY, USA | 30 | Case Series | 30 | - | 20 |
| [ | New York, NY, USA | 15 | Case Series | 15 | - | 13.3 |
| [ | Barcelona, Spain | 16 | Correspondence | 15 | 4.93 | 50 |
| [ | Brussels, Belgium | 22 | Case Series | 18 | 1.83 | 9.1 |
| [ | Madrid, Spain | 8 | Correspondence | 8 | - | - |
| [ | San Francisco, CA, USA | 7 | Case Series | 5 | - | - |
| [ | Ancona, Italy | 5 | Case Series | 5 | - | 25 |
| [ | New York, NY, USA | 34 | Correspondence | 34 | - | 17.1 |
| [ | Turin, Italy | 6 | Case Series | 6 | - | - |
| [ | Barcelona, Spain | 33 | Correspondence | 26 | - | 6 |
| [ | Hempstead, NY, USA | 10 | Case Series | 9 | - | 33.3 |
| [ | Madrid, Spain | 29 | Correspondence | 29 | - | 20.7 |
| [ | Porto, Portugal | 5 | Case Series | 4 | - | - |
| [ | Madrid, Spain | 26 | Case Series | 26 | 1.04 | 23.1 |
| [ | Wuhan, China | 5 | Case Series | 5 | - | - |
| [ | Wuhan, China | 10 | Case–control Study | 10 | 0.33 | 10 |
CFR: case fatality rate
Demographic and baseline characteristics, clinical outcomes, and treatment of kidney transplant recipients with coronavirus disease 2019 (COVID-19) infection.
| Demographics | |
|---|---|
| Age (years, median) ( | 55 (21–80) |
| Gender (male) | 276/415 (67%) |
| Type of donor (deceased donor) | 195/264 (74%) |
| Multiple organ transplant recipients | 7/420 (2%) |
| Repeat KTx | 7/420 (2%) |
| Time from KTx (years, median) | 6.5 (0–33) |
| Time from KTx ≤ 1 year | 48/209 (23%) |
| Comorbidities ( | |
| HTN | 81% |
| DM | 36% |
| CVD | 21% |
| Obesity | 15% |
| COPD | 5% |
| Malignancy | 4% |
| Chronic viral infection | 2% |
| Renal function | |
| Baseline sCr (mg/dL, median) ( | 1.47 (0.62–5.09) |
| Peak sCr during hospitalization (mg/dL, median) ( | 2.17 (0.62–10.94) |
| sCr at discharge (median) ( | 1.45 (0.29–6.45) |
| Baseline Immunosuppressive regimen | |
| MPA/AZA + CNI ± CS | 136/186 (73%) |
| Hospital admission ( | 93% |
| Duration of hospitalization (days, median) ( | 16 (1–100) |
| Admission to ICU | 118/391 (30%) |
| Duration of ICU stay (days, median) ( | 8.5 (1–34) |
| Type of Ventilation | |
| NIV | 27/379 (7%) |
| IMV | 88/379 (23%) |
| ARDS | 175/391 (45%) |
| AKI | 150/345 (44%) |
| RRT | 34/150 (23%) |
| Immunosuppression management | |
| IS discontinuation | 66/212 (31%) |
| IS reduction | 97/357 (27%) |
| Switch TAC or mTORi to CsA | 24/358 (7%) |
| CNI tapering | 65/204 (32%) |
| CNI withdrawal | 118/204 (58%) |
| Antimetabolite withdrawal | 227/250 (91%) |
| COVID-19 treatment | |
| Antivirals | 123/414 (30%) |
| Lopinavir/Ritonavir | 94/123 (76%) |
| HCQ | 320/409 (78%) |
| Antibiotics | 290/399 (73%) |
| Azithromycin | 155/290 (53%) |
| CS (IV bolus or Dexamethasone) | 83/331 (25%) |
| Anti-IL agents | 59/213 (28%) |
| IV immunoglobulins | 35/415 (8%) |
| Major outcomes | |
| Death | 93/420 (22%) |
| Discharge | 232/391 (59%) |
Data are presented as the number/total number of available observations (percent) unless otherwise stated. Abbreviations: AKI: acute kidney injury; ARDS: acute respiratory distress syndrome; AZA: azathioprine; CNI: calcineurin inhibitor; COPD: chronic obstructive pulmonary disease; COVID-19: Coronavirus disease 2019; CS: corticosteroids; CsA: cyclosporine; CVD: cardiovascular disease; DM: diabetes mellitus; HCQ: hydroxychloroquine; HTN: hypertension; ICU: intensive care unit; IL: interleukin; IMV: invasive mechanical ventilation; IS: immunosuppression; IV: intravenous; KTx: kidney transplantation; MPA: mycophenolic acid; mTORi: mammalian target of rapamycin inhibitor; n: number; NIV: non-invasive ventilation; RRT: renal replacement therapy; sCr: serum creatinine; TAC: tacrolimus.
Demographic and baseline characteristics, treatment, and clinical outcomes of specific subgroups of kidney transplant recipients with COVID-19 infection.
| Characteristics of Patients with KTx for ≤1 year | |
|---|---|
| Age (years, mean ± SD) ( | 53.9 ± 13.9 |
| Gender (male) | 18/34 (53%) |
| Baseline sCr (mg/dL, median) ( | 1.24 (0.75–2.7) |
| Induction immunosuppression ( | |
| Antithymocyte globulin (ATG) | 8/17 (47%) |
| Basiliximab | 1/17 (6%) |
| Baseline Immunosuppression ( | |
| MPA + CNI ± CS | 31/34 (91.2%) |
| IS discontinuation | 9/34 (27%) |
| IS reduction | 18/34 (53%) |
| Antimetabolite withdrawal | 26/34 (77%) |
| COVID-19 Treatment | |
| Antivirals | 7/34 (21%) |
| HCQ | 18/32 (56%) |
| Azithromycin | 3/32 (9%) |
| Corticosteroids (IV) | 3/32 (9%) |
| Tocilizumab | 3/32 (9%) |
| Hospital admission | 32/34 (94%) |
| Admission to ICU | 9/32 (28%) |
| ARDS | 10/32 (31%) |
| AKI | 12/32 (38%) |
| Death | 5/34 (15%) |
|
| |
| Age (years, mean ± SD) ( | 71.6 ± 4.7 |
| Gender (male) | 45/70 (64%) |
| Baseline sCr (mg/dL, median) ( | 1.8 (0.62–3.39) |
| Baseline Immunosuppression ( | |
| MPA/AZA + CNI ± CS | 34/52 (65%) |
| mTORi-based regimen | 9/52 (17%) |
| IS discontinuation | 28/54 (52%) |
| IS reduction | 17/54 (32%) |
| COVID-19 Treatment | |
| Antivirals | 19/69 (28%) |
| HCQ | 53/70 (76%) |
| Azithromycin | 19/63 (30%) |
| Corticosteroids (IV) | 18/70 (26%) |
| Tocilizumab | 11/70 (16%) |
| Hospital admission | 69/70 (99%) |
| Admission to ICU | 13/69 (19%) |
| ARDS | 32/69 (46%) |
| AKI | 24/68 (35%) |
| Death | 22/69 (32%) |
|
| |
| Age (years, mean ± SD) ( | 64.2 ± 9.1 |
| Gender (male) | 37/61 (61%) |
| Baseline sCr (mg/dL, mean ± SD) ( | 2.14 ± 0.9 |
| IS discontinuation | 36/65 (55%) |
| IS reduction | 18/51 (35%) |
| COVID-19 Treatment | |
| Antivirals | 26/79 (33%) |
| HCQ | 51/64 (80%) |
| Azithromycin | 19/54 (35%) |
| Corticosteroids (IV) | 32/74 (43%) |
| Tocilizumab | 15/74 (20%) |
| Admission to ICU | 47/81 (58%) |
| ARDS | 62/77 (81%) |
| AKI | 26/45 (58%) |
Data are presented as the number/total number of available observations (percent) unless otherwise stated. Abbreviations: ATG: antithymocyte globulin.