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POS-942 Derivation Of Novel Scoring System To Predict Development Of Severe COVID-19 Among End Stage Kidney Disease Patients With Breakthrough Infection After Com-pletion Of SARS-Cov2 Vaccination
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Published by Elsevier Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8854882/ http://dx.doi.org/10.1016/j.ekir.2022.01.982 |
| _version_ | 1784653530299105280 |
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| author | FU, M.S. Ng, S.M. Ling, C.J. Sugurmar, A.N.K. P'ng, H.S. Ee, L.W. Tan, X.Q. Liu, W.J. |
| author_facet | FU, M.S. Ng, S.M. Ling, C.J. Sugurmar, A.N.K. P'ng, H.S. Ee, L.W. Tan, X.Q. Liu, W.J. |
| author_sort | FU, M.S. |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-8854882 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Published by Elsevier Inc. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-88548822022-02-18 POS-942 Derivation Of Novel Scoring System To Predict Development Of Severe COVID-19 Among End Stage Kidney Disease Patients With Breakthrough Infection After Com-pletion Of SARS-Cov2 Vaccination FU, M.S. Ng, S.M. Ling, C.J. Sugurmar, A.N.K. P'ng, H.S. Ee, L.W. Tan, X.Q. Liu, W.J. Kidney Int Rep Article Published by Elsevier Inc. 2022-02 2022-02-18 /pmc/articles/PMC8854882/ http://dx.doi.org/10.1016/j.ekir.2022.01.982 Text en Copyright © 2022 Published by Elsevier Inc. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
| spellingShingle | Article FU, M.S. Ng, S.M. Ling, C.J. Sugurmar, A.N.K. P'ng, H.S. Ee, L.W. Tan, X.Q. Liu, W.J. POS-942 Derivation Of Novel Scoring System To Predict Development Of Severe COVID-19 Among End Stage Kidney Disease Patients With Breakthrough Infection After Com-pletion Of SARS-Cov2 Vaccination |
| title | POS-942 Derivation Of Novel Scoring System To Predict Development Of Severe COVID-19 Among End Stage Kidney Disease Patients With Breakthrough Infection After Com-pletion Of SARS-Cov2 Vaccination |
| title_full | POS-942 Derivation Of Novel Scoring System To Predict Development Of Severe COVID-19 Among End Stage Kidney Disease Patients With Breakthrough Infection After Com-pletion Of SARS-Cov2 Vaccination |
| title_fullStr | POS-942 Derivation Of Novel Scoring System To Predict Development Of Severe COVID-19 Among End Stage Kidney Disease Patients With Breakthrough Infection After Com-pletion Of SARS-Cov2 Vaccination |
| title_full_unstemmed | POS-942 Derivation Of Novel Scoring System To Predict Development Of Severe COVID-19 Among End Stage Kidney Disease Patients With Breakthrough Infection After Com-pletion Of SARS-Cov2 Vaccination |
| title_short | POS-942 Derivation Of Novel Scoring System To Predict Development Of Severe COVID-19 Among End Stage Kidney Disease Patients With Breakthrough Infection After Com-pletion Of SARS-Cov2 Vaccination |
| title_sort | pos-942 derivation of novel scoring system to predict development of severe covid-19 among end stage kidney disease patients with breakthrough infection after com-pletion of sars-cov2 vaccination |
| topic | Article |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8854882/ http://dx.doi.org/10.1016/j.ekir.2022.01.982 |
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