Outcomes and Predictions
The feasibility of measuring frailty to predict disability and mortality in older medical intensive care unit survivors

https://doi.org/10.1016/j.jcrc.2013.12.019Get rights and content

Abstract

Purpose

To determine whether frailty can be measured within 4 days prior to hospital discharge in older intensive care unit (ICU) survivors of respiratory failure and whether it is associated with post-discharge disability and mortality.

Materials and Methods

We performed a single-center prospective cohort study of 22 medical ICU survivors age 65 years or older who had received noninvasive or invasive mechanical ventilation for at least 24 hours. Frailty was defined as a score of ≥ 3 using Fried’s 5-point scale. We measured disability with the Katz Activities of Daily Living. We estimated unadjusted associations between Fried’s frailty score and incident disability at 1-month and 6-month mortality using Cox proportional hazard models.

Results

The mean (SD) age was 77 (9) years, mean Acute Physiology and Chronic Health Evaluation II score was 27 (9.7), mean frailty score was 3.4 (1.3), and 18 (82%) were frail. Nine subjects (41%) died within 6 months, and all were frail. Each 1-point increase in frailty score was associated with a 90% increased rate of incident disability at 1-month (rate ratio: 1.9, 95% CI 0.7-4.9) and a threefold increase in 6-month mortality (rate ratio: 3.0, 95% CI 1.4-6.3).

Conclusions

Frailty can be measured in older ICU survivors near hospital discharge and is associated with 6-month mortality in unadjusted analysis. Larger studies to determine if frailty independently predicts outcomes are warranted.

Introduction

Older adults (age ≥ 65 years) now comprise almost half of all intensive care unit (ICU) admissions in the United States, receive more intensive treatment than in the past, and survive what were previously fatal critical illnesses [1], [2]. However, among the approximately 125,000 older adults who require mechanical ventilation and survive to hospital discharge annually in the United States, almost half are re-hospitalized and 30% to 65% die within 6 months [3], [4]. These data demonstrate an urgent need to risk stratify and identify older ICU survivors for interventions aimed at improving their functional dependency, mortality, and/or quality-of-life after hospital discharge.

Existing risk-stratification models for ICU patients were designed to predict in-hospital mortality because the success of intensive care medicine has traditionally been gauged by the proportion of patients alive at hospital discharge [5], [6], [7]. While post-hospitalization predictive models exist for older adults hospitalized without intensive care [8], there are no prospectively-derived models explicitly for older ICU survivors. In a prior study of older ICU survivors, we showed that surrogate measures of frailty and disability (older age, length of stay, and skilled-care facility need before or after hospitalization with intensive care) are associated independently with post-discharge mortality after controlling for critical illness severity and comorbidities, and account for 35% of a 6-month mortality model’s predictive power. Moreover, we found that traditional physiologic variables measured during the first 24 hours of critical illness do not predict post-discharge mortality in older ICU survivors [9]. However, this previous study lacked direct measures of frailty, thus limiting our ability to understand its role in risk stratification and identification of older ICU survivors for post-ICU care.

Physical frailty is a measurable clinical phenotype of increased vulnerability for developing adverse outcomes (e.g., disability and/or mortality) when exposed to a stressor. Fried and colleagues developed one of the most widely adopted measures of physical frailty based upon 5 possible components (weight loss, weakness, slowness, reduced physical activity, and exhaustion) that mark an underlying physiological state of multisystem energy dysregulation. Subjects who have 1–2 or ≥ 3 components are considered intermediate-frail or frail, respectively [10]. For community-dwelling elders, frailty predicts morbidity and mortality, independent of comorbidities and disability [10], [11], [12].

Recent studies of older ICU survivors of mechanical ventilation show that many of these patients develop new deficits or increase the magnitude of pre-existing deficits associated with the frailty syndrome while critically ill, and that these deficits often persist after the critical illness resolves [13], [14]. These deficits may include malnutrition, weight loss, muscle wasting, and weakness [13], [15], [16]. Since all these deficits are parts of Fried’s vicious cycle of frailty [10], measuring Fried’s frailty components in older ICU survivors may help risk-stratify and identify them for rehabilitative, therapeutic, or palliative interventions aimed at decreasing dependency, mortality, and/or improving quality-of-life after an ICU stay. However, the feasibility of measuring Fried’s frailty in such a debilitated sample of older hospitalized adults has not been assessed. Therefore, we undertook a single-center prospective cohort pilot study to test the primary hypothesis that Fried’s frailty components could be measured in older ICU survivors of respiratory failure just prior to hospital discharge. We also hypothesized that Fried’s frailty index would be associated with both 1-month disability acquired since hospitalization involving intensive care and 6-month mortality in unadjusted analyses.

Section snippets

Subjects

Subject inclusion criteria were (1) age ≥ 65 years and (2) invasive or non-invasive mechanical ventilation for respiratory failure for > 24 hours in a Columbia University medical ICU (MICU). Subject exclusion criteria were (1) hospital discharge directly from a MICU, (2) discharge to hospice or home hospice, (3) respiratory failure due to a neurologic diagnosis (intracranial hemorrhage, stroke, or coma after cardiac arrest), (4) solid organ transplant recipient, (5) extracorporeal membrane

Subject characteristics

We screened 110 older adult MICU survivors; 52 were excluded based upon pre-specified criteria, 3 were excluded because their cases were being reviewed by the hospital ethics committee, and 55 were found to be eligible. We approached 23 patients;1 patient refused to participate and we enrolled 22 subjects who we followed until death or 6 months after hospital discharge. Since we nearly achieved our enrollment rate goal of 24 patients over 6 months, 32 eligible patients were not approached for

Discussion

In a single-center prospective cohort pilot study, we have shown that Fried’s frailty can be measured in older ICU survivors of respiratory failure just prior to hospital discharge, and that Fried’s frailty score is associated in unadjusted analyses with 1-month disability and 6-month mortality after hospital discharge. Furthermore, given that easily measured demographic and clinical factors that have been associated with poor outcomes among ICU survivors explain less than half the variance in

Acknowledgments

The authors of this manuscript have no conflicts of interest to disclose as described by the Journal of Critical Care. This study was funded by a sub-contract pilot grant from grant 3P30AG022845-078 from the National Institute on Aging (NIA), and the NIA had no role in the study design, analysis, or manuscript approval.

References (50)

  • W.A. Knaus et al.

    APACHE II: a severity of disease classification system

    Crit Care Med

    (1985)
  • Ventilation with lower tidal volumes as compared with traditional tidal volumes for acute lung injury and the acute respiratory distress syndrome. The Acute Respiratory Distress Syndrome Network

    N Engl J Med

    (2000)
  • G. Van den Berghe et al.

    Intensive insulin therapy in the medical ICU

    N Engl J Med

    (2006)
  • L.C. Walter et al.

    Development and validation of a prognostic index for 1-year mortality in older adults after hospitalization

    JAMA

    (2001)
  • L.P. Fried et al.

    Frailty in older adults: evidence for a phenotype

    J Gerontol A Biol Sci Med Sci

    (2001)
  • K. Bandeen-Roche et al.

    Phenotype of frailty: characterization in the women's health and aging studies

    J Gerontol A Biol Sci Med Sci

    (2006)
  • L.P. Fried et al.

    Untangling the concepts of disability, frailty, and comorbidity: implications for improved targeting and care

    J Gerontol A Biol Sci Med Sci

    (2004)
  • J.E. Nelson et al.

    Chronic critical illness

    Am J Respir Crit Care Med

    (2010)
  • M.S. Herridge

    Long-term outcomes after critical illness: past, present, future

    Curr Opin Crit Care

    (2007)
  • J. Batt et al.

    Intensive-care unit acquired weakness (ICUAW): clinical phenotypes and molecular mechanisms

    Am J Respir Crit Care Med

    (2013)
  • R.C. Schulman et al.

    Metabolic and nutrition support in the chronic critical illness syndrome

    Respir Care

    (2012)
  • A.D.T. Force et al.

    Acute respiratory distress syndrome: the Berlin Definition

    JAMA

    (2012)
  • C.E. Cox et al.

    Expectations and outcomes of prolonged mechanical ventilation

    Crit Care Med

    (2009)
  • M. Unroe et al.

    One-year trajectories of care and resource utilization for recipients of prolonged mechanical ventilation: a cohort study

    Ann Intern Med

    (2010)
  • S.K. Inouye et al.

    Clarifying confusion: the confusion assessment method. A new method for detection of delirium

    Ann Intern Med

    (1990)
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    Acknowledgements for research support: This work was supported by the National Institutes of Health [UL1 RR024156, 3P30AG022845-078 pilot study grant, KL2 TR000081, and by a Loan Repayment Grant from the National Institute on Aging for MRB; R01 HL103676 and R01 HL114626 from the National Heart Lung and Blood Institute for DJL.].

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