Low rate of COVID‐19 pneumonia in kidney transplant recipients—A battle between infection and immune response? Article Swipe
Maryam Ghaffari Rahbar
,
Mohsen Nafar
,
Alireza Khoshdel
,
Nooshin Dalili
,
Alireza Abrishami
,
A. Firouzan
,
Fatemeh Poorrezagholi
,
Fariba Samadian
,
Shadi Ziaie
,
Somayeh Fatemizadeh
,
Shiva Samavat
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1111/tid.13406
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1111/tid.13406
Background With COVID‐19 pandemic, concerns about kidney transplant recipients are rising. However, the incidence, clinical course, outcome, and predictive factors of disease severity are obscured. Methods We describe clinical and laboratory manifestations, radiologic findings, clinical course, and finally outcome of kidney transplant recipients with COVID‐19 pneumonia. Results Of 2493 kidney transplant recipients under follow‐up in our clinic, 19 cases (4 cases diagnosed based on radiologic findings) were admitted. The mean age of patients was 47.6 ± 12.4 years, and the mean time from transplantation was 115.6 ± 70.3 months. Lymphopenia and eosinopenia were 84.2% and 78.9%, respectively. Nine patients did not survive the hospital course. History of acute rejection during the past 12 months, diabetes, higher N/L ratio, lower platelet count, elevated N/L x CRP, higher levels of LDH, positive D‐dimer, higher troponin, and prolonged PT were associated with mortality. Among patients with positive COVID‐19 test, history of acute rejection, low platelet count, and positive D‐dimer were associated with poor outcome. Treatment with cyclosporine was associated with better clinical outcome. Conclusions Low rate of admission in transplant recipients specially in the very first years of transplantation might be due to protective effects of immunosuppressive agents against cytokine storm or modification of immunity function. We suggest evaluation of T‐cell number, function, and cytokine profile as a guide to manage COVID‐19 mainly in patients with higher risk of mortality.
Related Topics
Concepts
Medicine
Eosinopenia
Internal medicine
Pneumonia
Kidney transplantation
Cytokine storm
Transplantation
Incidence (geometry)
Immunology
Gastroenterology
Coronavirus disease 2019 (COVID-19)
Disease
Infectious disease (medical specialty)
Optics
Physics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/tid.13406
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/tid.13406
- OA Status
- bronze
- Cited By
- 21
- References
- 20
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3042112755
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3042112755Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1111/tid.13406Digital Object Identifier
- Title
-
Low rate of COVID‐19 pneumonia in kidney transplant recipients—A battle between infection and immune response?Work title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-07-12Full publication date if available
- Authors
-
Maryam Ghaffari Rahbar, Mohsen Nafar, Alireza Khoshdel, Nooshin Dalili, Alireza Abrishami, A. Firouzan, Fatemeh Poorrezagholi, Fariba Samadian, Shadi Ziaie, Somayeh Fatemizadeh, Shiva SamavatList of authors in order
- Landing page
-
https://doi.org/10.1111/tid.13406Publisher landing page
- PDF URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/tid.13406Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/tid.13406Direct OA link when available
- Concepts
-
Medicine, Eosinopenia, Internal medicine, Pneumonia, Kidney transplantation, Cytokine storm, Transplantation, Incidence (geometry), Immunology, Gastroenterology, Coronavirus disease 2019 (COVID-19), Disease, Infectious disease (medical specialty), Optics, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
21Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 3, 2023: 1, 2022: 6, 2021: 8, 2020: 3Per-year citation counts (last 5 years)
- References (count)
-
20Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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