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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...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Turkish Society of Anaesthesiology and Reanimation
2022
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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 |
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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 |
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