Cargando…
Risk factors of mortality among patients hospitalised with COVID-19 in a critical care or hospital care unit: analysis of the French national medicoadministrative database
OBJECTIVE: To explore mortality risk factors for patients hospitalised with COVID-19 in a critical care unit (CCU) or a hospital care unit (HCU). DESIGN: Retrospective cohort analysis using the French national (Programme de médicalisation des systèmes d’information) database. SETTING: Any public or...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8557246/ https://www.ncbi.nlm.nih.gov/pubmed/34711641 http://dx.doi.org/10.1136/bmjresp-2021-001002 |
_version_ | 1784592335877701632 |
---|---|
author | Ouattara, Eric Bruandet, Amelie Borde, Aurélie Lenne, Xavier Binder-Foucard, Florence Le-bourhis-zaimi, Maggie Muller, Joris Tran ba loc, Pierre Séguret, Fabienne Tezenas du Montcel, Sophie Gilleron, Véronique |
author_facet | Ouattara, Eric Bruandet, Amelie Borde, Aurélie Lenne, Xavier Binder-Foucard, Florence Le-bourhis-zaimi, Maggie Muller, Joris Tran ba loc, Pierre Séguret, Fabienne Tezenas du Montcel, Sophie Gilleron, Véronique |
author_sort | Ouattara, Eric |
collection | PubMed |
description | OBJECTIVE: To explore mortality risk factors for patients hospitalised with COVID-19 in a critical care unit (CCU) or a hospital care unit (HCU). DESIGN: Retrospective cohort analysis using the French national (Programme de médicalisation des systèmes d’information) database. SETTING: Any public or private hospital in France. PARTICIPANTS: 98 366 patients admitted with COVID-19 for more than 1 day during the first semester of 2020 were included. The underlying conditions were retrieved for all contiguous stays. MAIN OUTCOME MEASURES: In-hospital mortality and associated risk factors were assessed using frailty Cox models. RESULTS: Among the 98 366 patients included, 25 765 (26%) were admitted to a CCU. The median age was 66 (IQR: 55–76) years in CCUs and 74 (IQR: 57–85) years in HCUs. Age was the main risk factor of death in both CCUs and HCUs, with adjusted HRs (aHRs) in CCUs increasing from 1.60 (95% CI 1.35 to 1.88) for 46 to 65 years to 8.17 (95% CI 6.86 to 9.72) for ≥85 years. In HCUs, the aHR associated with age was more than two times higher. The gender was not significantly associated with death, aHR 1.03 (95% CI 0.98 to 1.09, p=0.2693) in CCUs. Most of the underlying chronic conditions were risk factors for death, including malignant neoplasm (CCU: 1.34 (95% CI 1.25 to 1.43); HCU: 1.41 (95% CI 1.35 to 1.47)), cirrhosis without transplant (1.41 (95% CI 1.22 to 1.64); 1.27 (95% CI 1.12 to 1.45)) and dementia (1.30 (95% CI 1.16 to 1.46); 1.07 (95% CI 1.03 to 1.12)). CONCLUSION: This analysis confirms the role of age as the major risk factor of death in patients with COVID-19 irrespective to admission to critical care and therefore supports the current vaccination policies targeting older individuals. |
format | Online Article Text |
id | pubmed-8557246 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-85572462021-11-02 Risk factors of mortality among patients hospitalised with COVID-19 in a critical care or hospital care unit: analysis of the French national medicoadministrative database Ouattara, Eric Bruandet, Amelie Borde, Aurélie Lenne, Xavier Binder-Foucard, Florence Le-bourhis-zaimi, Maggie Muller, Joris Tran ba loc, Pierre Séguret, Fabienne Tezenas du Montcel, Sophie Gilleron, Véronique BMJ Open Respir Res Respiratory Infection OBJECTIVE: To explore mortality risk factors for patients hospitalised with COVID-19 in a critical care unit (CCU) or a hospital care unit (HCU). DESIGN: Retrospective cohort analysis using the French national (Programme de médicalisation des systèmes d’information) database. SETTING: Any public or private hospital in France. PARTICIPANTS: 98 366 patients admitted with COVID-19 for more than 1 day during the first semester of 2020 were included. The underlying conditions were retrieved for all contiguous stays. MAIN OUTCOME MEASURES: In-hospital mortality and associated risk factors were assessed using frailty Cox models. RESULTS: Among the 98 366 patients included, 25 765 (26%) were admitted to a CCU. The median age was 66 (IQR: 55–76) years in CCUs and 74 (IQR: 57–85) years in HCUs. Age was the main risk factor of death in both CCUs and HCUs, with adjusted HRs (aHRs) in CCUs increasing from 1.60 (95% CI 1.35 to 1.88) for 46 to 65 years to 8.17 (95% CI 6.86 to 9.72) for ≥85 years. In HCUs, the aHR associated with age was more than two times higher. The gender was not significantly associated with death, aHR 1.03 (95% CI 0.98 to 1.09, p=0.2693) in CCUs. Most of the underlying chronic conditions were risk factors for death, including malignant neoplasm (CCU: 1.34 (95% CI 1.25 to 1.43); HCU: 1.41 (95% CI 1.35 to 1.47)), cirrhosis without transplant (1.41 (95% CI 1.22 to 1.64); 1.27 (95% CI 1.12 to 1.45)) and dementia (1.30 (95% CI 1.16 to 1.46); 1.07 (95% CI 1.03 to 1.12)). CONCLUSION: This analysis confirms the role of age as the major risk factor of death in patients with COVID-19 irrespective to admission to critical care and therefore supports the current vaccination policies targeting older individuals. BMJ Publishing Group 2021-10-27 /pmc/articles/PMC8557246/ /pubmed/34711641 http://dx.doi.org/10.1136/bmjresp-2021-001002 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Respiratory Infection Ouattara, Eric Bruandet, Amelie Borde, Aurélie Lenne, Xavier Binder-Foucard, Florence Le-bourhis-zaimi, Maggie Muller, Joris Tran ba loc, Pierre Séguret, Fabienne Tezenas du Montcel, Sophie Gilleron, Véronique Risk factors of mortality among patients hospitalised with COVID-19 in a critical care or hospital care unit: analysis of the French national medicoadministrative database |
title | Risk factors of mortality among patients hospitalised with COVID-19 in a critical care or hospital care unit: analysis of the French national medicoadministrative database |
title_full | Risk factors of mortality among patients hospitalised with COVID-19 in a critical care or hospital care unit: analysis of the French national medicoadministrative database |
title_fullStr | Risk factors of mortality among patients hospitalised with COVID-19 in a critical care or hospital care unit: analysis of the French national medicoadministrative database |
title_full_unstemmed | Risk factors of mortality among patients hospitalised with COVID-19 in a critical care or hospital care unit: analysis of the French national medicoadministrative database |
title_short | Risk factors of mortality among patients hospitalised with COVID-19 in a critical care or hospital care unit: analysis of the French national medicoadministrative database |
title_sort | risk factors of mortality among patients hospitalised with covid-19 in a critical care or hospital care unit: analysis of the french national medicoadministrative database |
topic | Respiratory Infection |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8557246/ https://www.ncbi.nlm.nih.gov/pubmed/34711641 http://dx.doi.org/10.1136/bmjresp-2021-001002 |
work_keys_str_mv | AT ouattaraeric riskfactorsofmortalityamongpatientshospitalisedwithcovid19inacriticalcareorhospitalcareunitanalysisofthefrenchnationalmedicoadministrativedatabase AT bruandetamelie riskfactorsofmortalityamongpatientshospitalisedwithcovid19inacriticalcareorhospitalcareunitanalysisofthefrenchnationalmedicoadministrativedatabase AT bordeaurelie riskfactorsofmortalityamongpatientshospitalisedwithcovid19inacriticalcareorhospitalcareunitanalysisofthefrenchnationalmedicoadministrativedatabase AT lennexavier riskfactorsofmortalityamongpatientshospitalisedwithcovid19inacriticalcareorhospitalcareunitanalysisofthefrenchnationalmedicoadministrativedatabase AT binderfoucardflorence riskfactorsofmortalityamongpatientshospitalisedwithcovid19inacriticalcareorhospitalcareunitanalysisofthefrenchnationalmedicoadministrativedatabase AT lebourhiszaimimaggie riskfactorsofmortalityamongpatientshospitalisedwithcovid19inacriticalcareorhospitalcareunitanalysisofthefrenchnationalmedicoadministrativedatabase AT mullerjoris riskfactorsofmortalityamongpatientshospitalisedwithcovid19inacriticalcareorhospitalcareunitanalysisofthefrenchnationalmedicoadministrativedatabase AT tranbalocpierre riskfactorsofmortalityamongpatientshospitalisedwithcovid19inacriticalcareorhospitalcareunitanalysisofthefrenchnationalmedicoadministrativedatabase AT seguretfabienne riskfactorsofmortalityamongpatientshospitalisedwithcovid19inacriticalcareorhospitalcareunitanalysisofthefrenchnationalmedicoadministrativedatabase AT tezenasdumontcelsophie riskfactorsofmortalityamongpatientshospitalisedwithcovid19inacriticalcareorhospitalcareunitanalysisofthefrenchnationalmedicoadministrativedatabase AT gilleronveronique riskfactorsofmortalityamongpatientshospitalisedwithcovid19inacriticalcareorhospitalcareunitanalysisofthefrenchnationalmedicoadministrativedatabase |