Literature DB >> 32996563

Letter to the Editor: Setting Goals or Shifting Goalposts: Role of Frailty for Critical Care Decisions during COVID-19.

R Hsien-Xiong Lee1, E Peiying Ho, H-Y Neo, A Hum, W-S Lim.   

Abstract

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Year:  2020        PMID: 32996563      PMCID: PMC7463103          DOI: 10.14283/jfa.2020.46

Source DB:  PubMed          Journal:  J Frailty Aging        ISSN: 2260-1341


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Dear Editor, Frailty is characterized by a loss of physiological reserves leading to increased susceptibility to adverse outcomes with stressor events (1). With healthcare resources worldwide overstretched by the unprecedented COVID-19 pandemic, there is intense interest in reliable assessment tools to inform patient prioritization for scarce intensive care resource. Not surprisingly, frailty tools have been thrust into the spotlight as the panacea to age-based criteria for critical care triage decisions. However, detractors worry that rigid and indiscriminate application of frailty tools may ironically exacerbate the deprioritising of older adults and other vulnerable populations. Herein, we describe the 3F approach to guide thinking about the role of frailty in critical care decisions for older adults during the COVID-19 pandemic.

Framing

Setting goals of care versus shifting goalposts of care

Frailty captures the health status of an older person and predicts adverse outcomes in the community and acute inpatient care settings. Over the years, geriatricians have promoted frailty as part of a patient-centred approach to assessment that is the cornerstone for rational context-appropriate goals of care (2). On this basis, there is keen interest in the development and broad uptake of convenient screening and assessment tools to assist in frailty identification amongst older people who access the healthcare system (1). Its utility in predicting adverse outcomes have also been examined in the intensive care unit (ICU) setting. Whilst the multidimensional measure of frailty such as Clinical Frailty Scale (CFS) and Frailty Index (FI) generally predict higher hospital mortality, longer length of stay, poor functional outcome and institutionalisation, these findings are not uniform across all studies (3). Notably, there are no outcome studies that examine the effectiveness of frailty for ICU triaging purposes. Using frailty for such a purpose would be akin to shifting goalposts of care with current knowledge.

Framework

Right instrument for the right purpose

While frailty has value in allocation of scarce health resources, it also has limitations. Frailty does not invariably lead to adverse outcomes in older adults. In fact, a recent study demonstrated that the outcomes for frail patients more than 80 years of age can be good, with 91% surviving ICU admission, 82% surviving to hospital discharge, and fewer than 5% discharged to new nursing home care (4). Within the spectrum of frailty, the mildly frail have better outcomes than the moderately or severely frail, even in the oldest-old, and should not be excluded from ICU care. Moreover, as frailty has never been validated for ICU triaging in COVID-19 or related purposes, there is a need to establish strict criterion and construct validity for critically ill patients and generalisability of a score derived from non-critically ill patients in the chronic disease setting towards the critically ill (5). As healthcare systems become less overwhelmed with flattening of the epidemic curve, this affords an ideal window of opportunity to conduct validation studies of composite predictive models which incorporate frailty along with consistent predictors of poor outcomes in older adults admitted to the ICU such as age, comorbidities, disability and severity of illness (5).

Forward conversations

Achieving consensus on goals of care

Amalgamating information from frailty assessments with patients’ antecedent wishes will enable physicians to recommend goal-concordant care. This highlights the importance of early Advanced Care Planning (ACP) discussions to understand patient’s preferences and therapeutic goals. Pre-COVID, these dialogues have been fairly opportunistic, as well as confined to patients with advanced illnesses or the acutely ill. Knowing that the current pandemic will be protracted, efforts should be streamlined towards engaging frail patients upstream while they are well. These forward conversations are especially salient for severely frail patients (including persons with advanced dementia) who are not likely to benefit from ICU care. Leaving decisions till crisis occurs would mean patients may lose their opportunity of exercising their autonomy to delirium, as well as risking impulsive decisions from distressed surrogates under time and situational pressure.

Conclusion

Hubbard et al. recommend that frailty screening tools should not be used in isolation but instead, are implemented as part of a person-centred approach to assessment in older adults 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 (6). Our 3F approach presents a conceptual framework in a clinically sound and ethical manner that considers the strength and limitations of frailty assessment in determining its role in critical care decisions for older adults during the COVID-19 pandemic. Indeed, until we can meaningfully determine the exact contribution of frailty to adverse outcomes in critically ill older adults, frailty is better used as part of a multi-pronged assessment to assist prognostication and to guide meaningful conversations on goals of care i.e. to set goals of care rather than shift the goalpost of care.
  6 in total

1.  Translating the Science of Frailty in Singapore: Results from the National Frailty Consensus Discussion.

Authors:  Wee Shiong Lim; Chek Hooi Wong; Yew Yoong Ding; Kenneth Rockwood; Christopher Lien
Journal:  Ann Acad Med Singapore       Date:  2019-01       Impact factor: 2.473

2.  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

3.  Focus on the frail and elderly: who should have a trial of ICU treatment?

Authors:  Otavio T Ranzani; Bruno A M P Besen; Margaret S Herridge
Journal:  Intensive Care Med       Date:  2020-03-02       Impact factor: 17.440

4.  The Asia-Pacific Clinical Practice Guidelines for the Management of Frailty.

Authors:  Elsa Dent; Christopher Lien; Wee Shiong Lim; Wei Chin Wong; Chek Hooi Wong; Tze Pin Ng; Jean Woo; Birong Dong; Shelley de la Vega; Philip Jun Hua Poi; Shahrul Bahyah Binti Kamaruzzaman; Chang Won; Liang-Kung Chen; Kenneth Rockwood; Hidenori Arai; Leocadio Rodriguez-Mañas; Li Cao; Matteo Cesari; Piu Chan; Edward Leung; Francesco Landi; Linda P Fried; John E Morley; Bruno Vellas; Leon Flicker
Journal:  J Am Med Dir Assoc       Date:  2017-07-01       Impact factor: 4.669

Review 5.  The impact of frailty on intensive care unit outcomes: a systematic review and meta-analysis.

Authors:  John Muscedere; Braden Waters; Aditya Varambally; Sean M Bagshaw; J Gordon Boyd; David Maslove; Stephanie Sibley; Kenneth Rockwood
Journal:  Intensive Care Med       Date:  2017-07-04       Impact factor: 17.440

6.  Frailty in the face of COVID-19.

Authors:  Ruth E Hubbard; Andrea B Maier; Sarah N Hilmer; Vasi Naganathan; Christopher Etherton-Beer; Kenneth Rockwood
Journal:  Age Ageing       Date:  2020-07-01       Impact factor: 10.668

  6 in total
  1 in total

1.  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

  1 in total

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