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Severe COVID-19 pneumonia in Piacenza, Italy — A cohort study of the first pandemic wave
BACKGROUND: Piacenza is the closest city to the first coronavirus disease 2019 (COVID-19) cluster in Italy and has the highest national COVID-19 death rates per population. The objective of this study is to present characteristics and outcomes of patients admitted to medical departments of the Hospi...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7723761/ https://www.ncbi.nlm.nih.gov/pubmed/33497876 http://dx.doi.org/10.1016/j.jiph.2020.11.012 |
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author | Guglielmetti, Lorenzo Kontsevaya, Irina Leoni, Maria C. Ferrante, Patrizia Fronti, Elisa Gerna, Laura Valdatta, Caterina Donisi, Alessandra Faggi, Alberto Paolillo, Franco Ratti, Giovanna Ruggieri, Alessandro Scotti, Marta Sacchini, Daria Taliani, Gloria Codeluppi, Mauro |
author_facet | Guglielmetti, Lorenzo Kontsevaya, Irina Leoni, Maria C. Ferrante, Patrizia Fronti, Elisa Gerna, Laura Valdatta, Caterina Donisi, Alessandra Faggi, Alberto Paolillo, Franco Ratti, Giovanna Ruggieri, Alessandro Scotti, Marta Sacchini, Daria Taliani, Gloria Codeluppi, Mauro |
author_sort | Guglielmetti, Lorenzo |
collection | PubMed |
description | BACKGROUND: Piacenza is the closest city to the first coronavirus disease 2019 (COVID-19) cluster in Italy and has the highest national COVID-19 death rates per population. The objective of this study is to present characteristics and outcomes of patients admitted to medical departments of the Hospital of Piacenza during the first wave of the epidemic. METHODS: A total of 218 patients with confirmed or suspect COVID-19 and severe pneumonia were included from February 21st to May 15th, 2020. Routinely-collected clinical and laboratory data were retrospectively retrieved from electronic medical files. A Cox proportional-hazards model was fit to assess the association of treatment and other variables with death. RESULTS: Median age of patients was 68 years; 150 patients (69%) had comorbidities, mainly hypertension (107, 49%). Overall, 185 (85%) patients had acute respiratory distress syndrome (ARDS) on admission, including 103 (47%) with moderate or severe ARDS. Chest computed tomography scan showed bilateral disease in 201 (98%) and extensive lung involvement in 79 (50%) patients. Most patients received antiviral treatment (187, 86%) and corticosteroids (134, 61%). All patients received respiratory support and 64 (29%) were admitted to intensive care unit. As of June 30th, 100 patients (46%) died, 109 patients (50%) were discharged, and 9 patients (4%) were still hospitalized. In multivariable Cox analysis, age above 65 years, having more than one comorbidity, severe ARDS, low platelet counts, and high LDH levels at admission were associated with mortality, while having diarrhea at admission was associated with survival. The use of antivirals or corticosteroids was not associated with survival. CONCLUSIONS: Overall case fatality rates were high and associated with comorbidities, extensive lung involvement, ARDS at admission, and advanced age. The use of antivirals was not associated with increased survival. |
format | Online Article Text |
id | pubmed-7723761 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Authors. Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77237612020-12-10 Severe COVID-19 pneumonia in Piacenza, Italy — A cohort study of the first pandemic wave Guglielmetti, Lorenzo Kontsevaya, Irina Leoni, Maria C. Ferrante, Patrizia Fronti, Elisa Gerna, Laura Valdatta, Caterina Donisi, Alessandra Faggi, Alberto Paolillo, Franco Ratti, Giovanna Ruggieri, Alessandro Scotti, Marta Sacchini, Daria Taliani, Gloria Codeluppi, Mauro J Infect Public Health Article BACKGROUND: Piacenza is the closest city to the first coronavirus disease 2019 (COVID-19) cluster in Italy and has the highest national COVID-19 death rates per population. The objective of this study is to present characteristics and outcomes of patients admitted to medical departments of the Hospital of Piacenza during the first wave of the epidemic. METHODS: A total of 218 patients with confirmed or suspect COVID-19 and severe pneumonia were included from February 21st to May 15th, 2020. Routinely-collected clinical and laboratory data were retrospectively retrieved from electronic medical files. A Cox proportional-hazards model was fit to assess the association of treatment and other variables with death. RESULTS: Median age of patients was 68 years; 150 patients (69%) had comorbidities, mainly hypertension (107, 49%). Overall, 185 (85%) patients had acute respiratory distress syndrome (ARDS) on admission, including 103 (47%) with moderate or severe ARDS. Chest computed tomography scan showed bilateral disease in 201 (98%) and extensive lung involvement in 79 (50%) patients. Most patients received antiviral treatment (187, 86%) and corticosteroids (134, 61%). All patients received respiratory support and 64 (29%) were admitted to intensive care unit. As of June 30th, 100 patients (46%) died, 109 patients (50%) were discharged, and 9 patients (4%) were still hospitalized. In multivariable Cox analysis, age above 65 years, having more than one comorbidity, severe ARDS, low platelet counts, and high LDH levels at admission were associated with mortality, while having diarrhea at admission was associated with survival. The use of antivirals or corticosteroids was not associated with survival. CONCLUSIONS: Overall case fatality rates were high and associated with comorbidities, extensive lung involvement, ARDS at admission, and advanced age. The use of antivirals was not associated with increased survival. The Authors. Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences. 2021-02 2020-12-09 /pmc/articles/PMC7723761/ /pubmed/33497876 http://dx.doi.org/10.1016/j.jiph.2020.11.012 Text en © 2020 The Authors 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 Guglielmetti, Lorenzo Kontsevaya, Irina Leoni, Maria C. Ferrante, Patrizia Fronti, Elisa Gerna, Laura Valdatta, Caterina Donisi, Alessandra Faggi, Alberto Paolillo, Franco Ratti, Giovanna Ruggieri, Alessandro Scotti, Marta Sacchini, Daria Taliani, Gloria Codeluppi, Mauro Severe COVID-19 pneumonia in Piacenza, Italy — A cohort study of the first pandemic wave |
title | Severe COVID-19 pneumonia in Piacenza, Italy — A cohort study of the first pandemic wave |
title_full | Severe COVID-19 pneumonia in Piacenza, Italy — A cohort study of the first pandemic wave |
title_fullStr | Severe COVID-19 pneumonia in Piacenza, Italy — A cohort study of the first pandemic wave |
title_full_unstemmed | Severe COVID-19 pneumonia in Piacenza, Italy — A cohort study of the first pandemic wave |
title_short | Severe COVID-19 pneumonia in Piacenza, Italy — A cohort study of the first pandemic wave |
title_sort | severe covid-19 pneumonia in piacenza, italy — a cohort study of the first pandemic wave |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7723761/ https://www.ncbi.nlm.nih.gov/pubmed/33497876 http://dx.doi.org/10.1016/j.jiph.2020.11.012 |
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