Literature DB >> 32374368

Frailty in the face of COVID-19.

Ruth E Hubbard1, Andrea B Maier2,3, Sarah N Hilmer4, Vasi Naganathan5, Christopher Etherton-Beer6, Kenneth Rockwood7.   

Abstract

Entities:  

Keywords:  COVID-19; frailty; intensive care; older people

Mesh:

Year:  2020        PMID: 32374368      PMCID: PMC7239250          DOI: 10.1093/ageing/afaa095

Source DB:  PubMed          Journal:  Age Ageing        ISSN: 0002-0729            Impact factor:   10.668


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Key points

The Clinical Frailty Scale is a quick and reliable screening tool for frailty. While the CFS has value in allocation of scarce health resources, it also has limitations. Frailty is a continuum rather than a dichotomous variable. The type and severity of the presenting illness are important variables independently associated with the clinical outcome. A person-centred approach should consider the severity of illness and likelihood of success as well as the degree of frailty.

We are living in extraordinary times and experiencing an unprecedented surge in demand for health care services. Older people are at significant increased risk from coronavirus disease (COVID-19) [1] due to decreased immune function and multi-morbidity. Data from the USA and China show people aged >65 years represent half of the admissions to hospital related to COVID-19, more than half of the admissions to the intensive care unit (ICU) and account for 80% of deaths [2]. Rapidly increasing healthcare demand due to COVID-19 requires clinicians to make difficult medical and ethical decisions about the treatment of older people, models of care and triage systems. Algorithms and scoring systems are being developed to predict risks of mortality in relation to the most limited resources such as mechanical ventilation. Screening of frailty is being proposed as a key tool to assist in this triage process [3]. Frailty has become a cornerstone of geriatric medicine and geriatricians have long advocated for screening of frailty whenever older people access health care. This is justified: frailty can capture the health status of an older person and is a predictor of multiple adverse outcomes both for community-dwellers [4] and for inpatients [5]. On this basis, geriatricians have promoted development and broad uptake of convenient screening and assessment tools to assist in the identification of people who live with varying degrees of frailty. The Clinical Frailty Scale (CFS) is a quick and reliable screening tool for frailty, which performs better than measures of cognition, function or comorbidity in assessing medium-term risk of death [6]. The CFS was developed and validated to summarise the clinical judgment of a geriatrician completing a comprehensive geriatric assessment (CGA). CGA is multidimensional process that identifies medical, social and functional needs and the CFS, even as currently employed as a screening tool, takes into account physical and cognitive function, health attitude, comorbidities and symptom management. While we agree that a multidimensional measure of frailty such as the CFS has value in allocation of scarce health resources, it is important for clinicians and administrators to understand its limitations when used in the acute hospital setting. Frailty is not synonymous with end-of-life. In a non-COVID-19 related study of 15,613 patients aged ≥80 years in ICUs across Australia, those with a CFS ≥ 5 had significantly poorer health outcomes than age matched peers who were more robust, but the prevalence of in-hospital mortality (17.6 versus 8.2%) and of new discharges to residential aged care facilities (4.9 versus 2.8%) suggest the majority of frail patients do survive and return home to the community [7]. To the best of our knowledge, appropriate cutpoints for the use of frailty scales to determine access of older people to health care have not been studied. In the UK, National Institute for Health & Care Excellence (NICE) guidelines suggest that COVID positive patients with a CFS ≥ 5 would not benefit from admission to ICU [3], yet frailty is not a dichotomous variable. Pre-COVID studies report a gradation in outcomes across CFS categories [6]; older people with a CFS of 5 (limited dependence on others for instrumental activities of daily living) differ significantly from those with a CFS of 8 (completely dependent for all personal care) not just in functional status but in their ability to recover from any insults. Most importantly, the type and severity of the presenting illness are important variables independently associated with the clinical outcome. Acute illness is less well tolerated in frailer patients, but the degree of illness acuity and the degree of frailty are each important [8]. There are other mediating factors: female sex [9], smoking [10] and social vulnerability [11] also influence how risk is expressed in relation to frailty. Across grades of frailty, men, smokers and people who are more socially vulnerable have poorer outcomes. In the acute instance, these factors are no more remediable than is illness acuity, but it does draw to attention that even a fair, non–age-based assessment can still be biased. In summary, we recommend against the use of screening tools (including the CFS when used as such) as the sole component to ration access of older people to health care. Instead we recommend that frailty screening tools are implemented as a rapid component of a person-centred approach to assessment that takes account of three key biomedical factors: severity of the presenting acute illness, the likelihood of medical interventions being successful and the degree of frailty.
  8 in total

1.  Frailty status at admission to hospital predicts multiple adverse outcomes.

Authors:  Ruth E Hubbard; Nancye M Peel; Mayukh Samanta; Leonard C Gray; Arnold Mitnitski; Kenneth Rockwood
Journal:  Age Ageing       Date:  2017-09-01       Impact factor: 10.668

Review 2.  Sex differences in frailty: A systematic review and meta-analysis.

Authors:  E H Gordon; N M Peel; M Samanta; O Theou; S E Howlett; R E Hubbard
Journal:  Exp Gerontol       Date:  2016-12-31       Impact factor: 4.032

3.  Frailty in very old critically ill patients in Australia and New Zealand: a population-based cohort study.

Authors:  Jai N Darvall; Rinaldo Bellomo; Eldho Paul; Ashwin Subramaniam; John D Santamaria; Sean M Bagshaw; Sumeet Rai; Ruth E Hubbard; David Pilcher
Journal:  Med J Aust       Date:  2019-09-05       Impact factor: 7.738

4.  Clinical frailty adds to acute illness severity in predicting mortality in hospitalized older adults: An observational study.

Authors:  Roman Romero-Ortuno; Stephen Wallis; Richard Biram; Victoria Keevil
Journal:  Eur J Intern Med       Date:  2016-09-02       Impact factor: 4.487

5.  A global clinical measure of fitness and frailty in elderly people.

Authors:  Kenneth Rockwood; Xiaowei Song; Chris MacKnight; Howard Bergman; David B Hogan; Ian McDowell; Arnold Mitnitski
Journal:  CMAJ       Date:  2005-08-30       Impact factor: 8.262

6.  Effect of smoking on the accumulation of deficits, frailty and survival in older adults: a secondary analysis from the Canadian Study of Health and Aging.

Authors:  R E Hubbard; S D Searle; A Mitnitski; K Rockwood
Journal:  J Nutr Health Aging       Date:  2009-05       Impact factor: 4.075

7.  Social vulnerability, frailty and mortality in elderly people.

Authors:  Melissa K Andrew; Arnold B Mitnitski; Kenneth Rockwood
Journal:  PLoS One       Date:  2008-05-21       Impact factor: 3.240

Review 8.  World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19).

Authors:  Catrin Sohrabi; Zaid Alsafi; Niamh O'Neill; Mehdi Khan; Ahmed Kerwan; Ahmed Al-Jabir; Christos Iosifidis; Riaz Agha
Journal:  Int J Surg       Date:  2020-02-26       Impact factor: 6.071

  8 in total
  31 in total

1.  Frailty and potentially inappropriate medications using the 2019 Beers Criteria: findings from the Australian Longitudinal Study on Women's Health (ALSWH).

Authors:  Kaeshaelya Thiruchelvam; Julie Byles; Syed Shahzad Hasan; Nicholas Egan; Therese Kairuz
Journal:  Aging Clin Exp Res       Date:  2021-01-15       Impact factor: 3.636

2.  Clinical frailty score as an independent predictor of outcome in COVID-19 hospitalised patients.

Authors:  Gouri Koduri; Sriya Gokaraju; Maria Darda; Vinod Warrier; Irina Duta; Fiona Hayes; Iman El Sayed; Yasser Noeman-Ahmed
Journal:  Eur Geriatr Med       Date:  2021-06-04       Impact factor: 3.269

3.  Rationing care in COVID-19: if we must do it, can we do better?

Authors:  Kenneth Rockwood
Journal:  Age Ageing       Date:  2021-01-08       Impact factor: 10.668

4.  Predictors of In-Hospital Mortality in Older Patients With COVID-19: The COVIDAge Study.

Authors:  Aline Mendes; Christine Serratrice; François R Herrmann; Laurence Genton; Samuel Périvier; Max Scheffler; Thomas Fassier; Philippe Huber; Marie-Claire Jacques; Virginie Prendki; Xavier Roux; Katharine Di Silvestro; Véronique Trombert; Stephan Harbarth; Gabriel Gold; Christophe E Graf; Dina Zekry
Journal:  J Am Med Dir Assoc       Date:  2020-09-15       Impact factor: 4.669

5.  The expert COVID-19 team for older persons of the Quebec Health and Social Services Ministry.

Authors:  Olivier Beauchet
Journal:  Aging Clin Exp Res       Date:  2020-06-16       Impact factor: 3.636

6.  Clinical presentation and outcome across age categories among patients with COVID-19 admitted to a Spanish Emergency Department.

Authors:  F Javier Martín-Sánchez; Enrique Del Toro; Eduardo Cardassay; Adrián Valls Carbó; Federico Cuesta; Marta Vigara; Pedro Gil; Amanda López López Picado; Carmen Martínez Valero; Juande D Miranda; Pedro Lopez-Ayala; David Chaparro; Gabriel Cozar López; María Del Mar Suárez-Cadenas; Pablo Jerez Fernández; Beatriz Angós; Cristina Díaz Del Arco; Esther Rodríguez Adrada; María Teresa Montalvo Moraleda; Carolina Espejo Paeres; Cesáreo Fernández Alonso; Carlos Elvira; Ana Chacón; Miguel Ángel García Briñón; José Luis Fernández Rueda; Luis Ortega; Cristina Fernández Pérez; Juan Jorge González Armengol; Juan González Del Castillo
Journal:  Eur Geriatr Med       Date:  2020-07-16       Impact factor: 1.710

7.  Telemedicine for housebound older persons during the Covid-19 pandemic.

Authors:  Olivier Beauchet; Liam Cooper-Brown; Victoria Ivensky; Cyrille P Launay
Journal:  Maturitas       Date:  2020-06-26       Impact factor: 4.342

8.  Heterogeneity in functional status among moderately frail older adults: improving predictive performance using a modified approach of subgrouping the Clinical Frailty Scale.

Authors:  Edward Chong; Mark Chan; Huei Nuo Tan; Wee Shiong Lim
Journal:  Eur Geriatr Med       Date:  2020-10-23       Impact factor: 1.710

Review 9.  A scoping review of the Clinical Frailty Scale.

Authors:  Sophie Church; Emily Rogers; Kenneth Rockwood; Olga Theou
Journal:  BMC Geriatr       Date:  2020-10-07       Impact factor: 3.921

10.  Age, Frailty, and Comorbidity as Prognostic Factors for Short-Term Outcomes in Patients With Coronavirus Disease 2019 in Geriatric Care.

Authors:  Sara Hägg; Juulia Jylhävä; Yunzhang Wang; Hong Xu; Carina Metzner; Martin Annetorp; Sara Garcia-Ptacek; Masih Khedri; Anne-Marie Boström; Ahmadul Kadir; Anna Johansson; Miia Kivipelto; Maria Eriksdotter; Tommy Cederholm; Dorota Religa
Journal:  J Am Med Dir Assoc       Date:  2020-08-14       Impact factor: 7.802

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