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COVID-19 and the kidney: A retrospective analysis of 37 critically ill patients using machine learning
INTRODUCTION: There is evidence that SARS-CoV2 has a particular affinity for kidney tissue and is often associated with kidney failure. METHODS: We assessed whether proteinuria can be predictive of kidney failure, the development of chronic kidney disease, and mortality in 37 critically ill COVID-19...
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| Опубликовано в: : | PLoS One |
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| Главные авторы: | , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Public Library of Science
2021
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8136725/ https://ncbi.nlm.nih.gov/pubmed/34015009 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0251932 |
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