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Clinical Frailty Scale for risk stratification in patients with SARS-CoV-2 infection

Predictive factors for adverse outcomes in patients with COVID-19 are urgently needed. Data related to the applicability of the Clinical Frailty Scale (CFS) for risk stratification in patients with COVID-19 are currently lacking. We investigated the ability of CFS to predict need for mechanical vent...

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Autores principales: Labenz, Christian, Kremer, Wolfgang M., Schattenberg, Jörn M., Wörns, Marcus-Alexander, Toenges, Gerrit, Weinmann, Arndt, Galle, Peter R., Sprinzl, Martin F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7418620/
https://www.ncbi.nlm.nih.gov/pubmed/32641351
http://dx.doi.org/10.1136/jim-2020-001410
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author Labenz, Christian
Kremer, Wolfgang M.
Schattenberg, Jörn M.
Wörns, Marcus-Alexander
Toenges, Gerrit
Weinmann, Arndt
Galle, Peter R.
Sprinzl, Martin F.
author_facet Labenz, Christian
Kremer, Wolfgang M.
Schattenberg, Jörn M.
Wörns, Marcus-Alexander
Toenges, Gerrit
Weinmann, Arndt
Galle, Peter R.
Sprinzl, Martin F.
author_sort Labenz, Christian
collection PubMed
description Predictive factors for adverse outcomes in patients with COVID-19 are urgently needed. Data related to the applicability of the Clinical Frailty Scale (CFS) for risk stratification in patients with COVID-19 are currently lacking. We investigated the ability of CFS to predict need for mechanical ventilation and the duration of hospital stays in European patients with COVID-19. In total, 42 patients with confirmed COVID-19 infection admitted to the University Medical Center Mainz between March 3 and April 15 2020 were included into this validation study and data were retrospectively analyzed. CFS was assessed at admission in all patients. Patients were followed for need for mechanical ventilation and time to hospital discharge. At admission, the median CFS was 3 (range: 1–7) and 14 (33.3%) patients were considered as at least pre-frail (CFS >3). 24 (57.1%) patients were discharged from hospital after a median time of 7 days (IQR 4–8). 12 (28.6%) patients developed acute respiratory distress syndrome and required mechanical ventilation. In multivariable Cox regression analyses, higher CFS scores (HR 1.659, 95% CI 1.090 to 2.525, p=0.018) were an independent predictor for a higher risk of mechanical ventilation after adjusting for age, Charlson Comorbidity Index and quick sepsis-related organ failure score. Additionally, lower CFS scores (HR 0.554, 95% CI 0.312 to 0.983, p=0.043) were associated with earlier discharge from hospital. In conclusion, this report demonstrates the usefulness of the CFS for risk stratification at hospital admission in patients with COVID-19.
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spelling pubmed-74186202020-08-18 Clinical Frailty Scale for risk stratification in patients with SARS-CoV-2 infection Labenz, Christian Kremer, Wolfgang M. Schattenberg, Jörn M. Wörns, Marcus-Alexander Toenges, Gerrit Weinmann, Arndt Galle, Peter R. Sprinzl, Martin F. J Investig Med Brief Report Predictive factors for adverse outcomes in patients with COVID-19 are urgently needed. Data related to the applicability of the Clinical Frailty Scale (CFS) for risk stratification in patients with COVID-19 are currently lacking. We investigated the ability of CFS to predict need for mechanical ventilation and the duration of hospital stays in European patients with COVID-19. In total, 42 patients with confirmed COVID-19 infection admitted to the University Medical Center Mainz between March 3 and April 15 2020 were included into this validation study and data were retrospectively analyzed. CFS was assessed at admission in all patients. Patients were followed for need for mechanical ventilation and time to hospital discharge. At admission, the median CFS was 3 (range: 1–7) and 14 (33.3%) patients were considered as at least pre-frail (CFS >3). 24 (57.1%) patients were discharged from hospital after a median time of 7 days (IQR 4–8). 12 (28.6%) patients developed acute respiratory distress syndrome and required mechanical ventilation. In multivariable Cox regression analyses, higher CFS scores (HR 1.659, 95% CI 1.090 to 2.525, p=0.018) were an independent predictor for a higher risk of mechanical ventilation after adjusting for age, Charlson Comorbidity Index and quick sepsis-related organ failure score. Additionally, lower CFS scores (HR 0.554, 95% CI 0.312 to 0.983, p=0.043) were associated with earlier discharge from hospital. In conclusion, this report demonstrates the usefulness of the CFS for risk stratification at hospital admission in patients with COVID-19. BMJ Publishing Group 2020-08 2020-07-07 /pmc/articles/PMC7418620/ /pubmed/32641351 http://dx.doi.org/10.1136/jim-2020-001410 Text en © American Federation for Medical Research 2020. No commercial re-use. See rights and permissions. Published by BMJ. This article is made freely available for use in accordance with BMJ’s website terms and conditions for the duration of the covid-19 pandemic or until otherwise determined by BMJ. You may use, download and print the article for any lawful, non-commercial purpose (including text and data mining) provided that all copyright notices and trade marks are retained.https://bmj.com/coronavirus/usage
spellingShingle Brief Report
Labenz, Christian
Kremer, Wolfgang M.
Schattenberg, Jörn M.
Wörns, Marcus-Alexander
Toenges, Gerrit
Weinmann, Arndt
Galle, Peter R.
Sprinzl, Martin F.
Clinical Frailty Scale for risk stratification in patients with SARS-CoV-2 infection
title Clinical Frailty Scale for risk stratification in patients with SARS-CoV-2 infection
title_full Clinical Frailty Scale for risk stratification in patients with SARS-CoV-2 infection
title_fullStr Clinical Frailty Scale for risk stratification in patients with SARS-CoV-2 infection
title_full_unstemmed Clinical Frailty Scale for risk stratification in patients with SARS-CoV-2 infection
title_short Clinical Frailty Scale for risk stratification in patients with SARS-CoV-2 infection
title_sort clinical frailty scale for risk stratification in patients with sars-cov-2 infection
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7418620/
https://www.ncbi.nlm.nih.gov/pubmed/32641351
http://dx.doi.org/10.1136/jim-2020-001410
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