Cargando…

Prognosis of Old Intensive Care COVID-19 Patients at a Glance: The Senior COVID Study

OBJECTIVE: Admission in the intensive care unit of the old patient with coronavirus disease 19 raises an ethical question concerning the scarce resources and their short-term mortality. METHODS: Patients aged over 60 from 7 different intensive care units admitted between March 1, 2020 and May 6, 202...

Descripción completa

Detalles Bibliográficos
Autores principales: Vacheron, Charles-Hervé, Bitker, Laurent, Thiolliére, Fabrice, Subtil, Fabien, Abraham, Paul, Collange, Vincent, Balança, Baptiste, Haïne, Max, Guichon, Céline, Leroy, Christophe, Simon, Marie, Malapert, Amélie, Roche, Mélanie, Pialat, Jean-Baptiste, Jallades, Laurent, Lepape, Alain, Friggeri, Arnaud, Falandry, Claire
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Turkish Society of Anaesthesiology and Reanimation 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9629196/
https://www.ncbi.nlm.nih.gov/pubmed/35775799
http://dx.doi.org/10.5152/TJAR.2022.21321
_version_ 1784823351634558976
author Vacheron, Charles-Hervé
Bitker, Laurent
Thiolliére, Fabrice
Subtil, Fabien
Abraham, Paul
Collange, Vincent
Balança, Baptiste
Haïne, Max
Guichon, Céline
Leroy, Christophe
Simon, Marie
Malapert, Amélie
Roche, Mélanie
Pialat, Jean-Baptiste
Jallades, Laurent
Lepape, Alain
Friggeri, Arnaud
Falandry, Claire
author_facet Vacheron, Charles-Hervé
Bitker, Laurent
Thiolliére, Fabrice
Subtil, Fabien
Abraham, Paul
Collange, Vincent
Balança, Baptiste
Haïne, Max
Guichon, Céline
Leroy, Christophe
Simon, Marie
Malapert, Amélie
Roche, Mélanie
Pialat, Jean-Baptiste
Jallades, Laurent
Lepape, Alain
Friggeri, Arnaud
Falandry, Claire
author_sort Vacheron, Charles-Hervé
collection PubMed
description OBJECTIVE: Admission in the intensive care unit of the old patient with coronavirus disease 19 raises an ethical question concerning the scarce resources and their short-term mortality. METHODS: Patients aged over 60 from 7 different intensive care units admitted between March 1, 2020 and May 6, 2020, with a diagnosis of coronavirus disease 19 were included in the cohort. Twenty variables were collected during the admission, such as age, severity (Simplified Acute Physiology Score [SAPS] II), several data on physiological status before intensive care unit comorbidities, evaluation of autonomy, frailty, and biological variables. The objective was to model the 30-day mortality with relevant variables, compute their odds ratio associated with their 95% CI, and produce a nomogram to easily estimate and communicate the 30-day mortality. The performance of the model was estimated with the area under the receiving operating curve. RESULTS: We included 231 patients, among them 60 (26.0%) patients have died on the 30th day. The relevant variables selected to explain the 30-day mortality were Instrumental Activities of Daily Living (IADL) score (0.82 [0.71-0.94]), age 1.12 (1.07-1.18), SAPS II 1.05 (1.02-1.08), and dementia 6.22 (1.00-38.58). A nomogram was computed to visually represent the final model. Area under the receiving operating curve was at 0.833 (0.776-0.889). CONCLUSIONS: Age, autonomy, dementia, and severity at admission were important predictive variables for the 30-day mortality status, and the nomogram could help the physician in the decision-making process and the communication with the family.
format Online
Article
Text
id pubmed-9629196
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Turkish Society of Anaesthesiology and Reanimation
record_format MEDLINE/PubMed
spelling pubmed-96291962022-11-04 Prognosis of Old Intensive Care COVID-19 Patients at a Glance: The Senior COVID Study Vacheron, Charles-Hervé Bitker, Laurent Thiolliére, Fabrice Subtil, Fabien Abraham, Paul Collange, Vincent Balança, Baptiste Haïne, Max Guichon, Céline Leroy, Christophe Simon, Marie Malapert, Amélie Roche, Mélanie Pialat, Jean-Baptiste Jallades, Laurent Lepape, Alain Friggeri, Arnaud Falandry, Claire Turk J Anaesthesiol Reanim Original Article OBJECTIVE: Admission in the intensive care unit of the old patient with coronavirus disease 19 raises an ethical question concerning the scarce resources and their short-term mortality. METHODS: Patients aged over 60 from 7 different intensive care units admitted between March 1, 2020 and May 6, 2020, with a diagnosis of coronavirus disease 19 were included in the cohort. Twenty variables were collected during the admission, such as age, severity (Simplified Acute Physiology Score [SAPS] II), several data on physiological status before intensive care unit comorbidities, evaluation of autonomy, frailty, and biological variables. The objective was to model the 30-day mortality with relevant variables, compute their odds ratio associated with their 95% CI, and produce a nomogram to easily estimate and communicate the 30-day mortality. The performance of the model was estimated with the area under the receiving operating curve. RESULTS: We included 231 patients, among them 60 (26.0%) patients have died on the 30th day. The relevant variables selected to explain the 30-day mortality were Instrumental Activities of Daily Living (IADL) score (0.82 [0.71-0.94]), age 1.12 (1.07-1.18), SAPS II 1.05 (1.02-1.08), and dementia 6.22 (1.00-38.58). A nomogram was computed to visually represent the final model. Area under the receiving operating curve was at 0.833 (0.776-0.889). CONCLUSIONS: Age, autonomy, dementia, and severity at admission were important predictive variables for the 30-day mortality status, and the nomogram could help the physician in the decision-making process and the communication with the family. Turkish Society of Anaesthesiology and Reanimation 2022-04-01 /pmc/articles/PMC9629196/ /pubmed/35775799 http://dx.doi.org/10.5152/TJAR.2022.21321 Text en © Copyright 2022 authors https://creativecommons.org/licenses/by/4.0/ Content of this journal is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. (https://creativecommons.org/licenses/by/4.0/)
spellingShingle Original Article
Vacheron, Charles-Hervé
Bitker, Laurent
Thiolliére, Fabrice
Subtil, Fabien
Abraham, Paul
Collange, Vincent
Balança, Baptiste
Haïne, Max
Guichon, Céline
Leroy, Christophe
Simon, Marie
Malapert, Amélie
Roche, Mélanie
Pialat, Jean-Baptiste
Jallades, Laurent
Lepape, Alain
Friggeri, Arnaud
Falandry, Claire
Prognosis of Old Intensive Care COVID-19 Patients at a Glance: The Senior COVID Study
title Prognosis of Old Intensive Care COVID-19 Patients at a Glance: The Senior COVID Study
title_full Prognosis of Old Intensive Care COVID-19 Patients at a Glance: The Senior COVID Study
title_fullStr Prognosis of Old Intensive Care COVID-19 Patients at a Glance: The Senior COVID Study
title_full_unstemmed Prognosis of Old Intensive Care COVID-19 Patients at a Glance: The Senior COVID Study
title_short Prognosis of Old Intensive Care COVID-19 Patients at a Glance: The Senior COVID Study
title_sort prognosis of old intensive care covid-19 patients at a glance: the senior covid study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9629196/
https://www.ncbi.nlm.nih.gov/pubmed/35775799
http://dx.doi.org/10.5152/TJAR.2022.21321
work_keys_str_mv AT vacheroncharlesherve prognosisofoldintensivecarecovid19patientsataglancetheseniorcovidstudy
AT bitkerlaurent prognosisofoldintensivecarecovid19patientsataglancetheseniorcovidstudy
AT thiollierefabrice prognosisofoldintensivecarecovid19patientsataglancetheseniorcovidstudy
AT subtilfabien prognosisofoldintensivecarecovid19patientsataglancetheseniorcovidstudy
AT abrahampaul prognosisofoldintensivecarecovid19patientsataglancetheseniorcovidstudy
AT collangevincent prognosisofoldintensivecarecovid19patientsataglancetheseniorcovidstudy
AT balancabaptiste prognosisofoldintensivecarecovid19patientsataglancetheseniorcovidstudy
AT hainemax prognosisofoldintensivecarecovid19patientsataglancetheseniorcovidstudy
AT guichonceline prognosisofoldintensivecarecovid19patientsataglancetheseniorcovidstudy
AT leroychristophe prognosisofoldintensivecarecovid19patientsataglancetheseniorcovidstudy
AT simonmarie prognosisofoldintensivecarecovid19patientsataglancetheseniorcovidstudy
AT malapertamelie prognosisofoldintensivecarecovid19patientsataglancetheseniorcovidstudy
AT rochemelanie prognosisofoldintensivecarecovid19patientsataglancetheseniorcovidstudy
AT pialatjeanbaptiste prognosisofoldintensivecarecovid19patientsataglancetheseniorcovidstudy
AT jalladeslaurent prognosisofoldintensivecarecovid19patientsataglancetheseniorcovidstudy
AT lepapealain prognosisofoldintensivecarecovid19patientsataglancetheseniorcovidstudy
AT friggeriarnaud prognosisofoldintensivecarecovid19patientsataglancetheseniorcovidstudy
AT falandryclaire prognosisofoldintensivecarecovid19patientsataglancetheseniorcovidstudy