Long-term association between frailty and health-related quality of life among survivors of critical illness: a prospective multicenter cohort study

Current perspectives on defining and mitigating frailty in relation to critical illness

Up to half of ICU survivors, many of whom were premorbidly well, will have residual functional and/or cognitive impairment and be vulnerable to future health problems. Frailty describes vulnerability to poor resolution of homeostasis after a stressor event but it is not clear whether the vulnerability seen after ICU correlates with clinical measures of frailty. In clinical practice, the scales most commonly used in critically ill patients are based on the assessment of severity and survival. Identification and monitoring of frailty in the ICU may be an alternative or complimentary approach, particularly if it helps explain vulnerability during the recovery and rehabilitation period. The purpose of this review is to discuss the use of tools to assess frailty status in the critically ill, and consider their importance in clinical practice. Amongst these, we consider biomarkers with potential to identify patients at greater or lesser risk of developing post-ICU vulnerability.

Frailty and survival in elderly intensive care patients in Norway

BACKGROUND

Today, 10%-15% of Norwegian intensive care patients are ≥80 years. This proportion will increase significantly over the next 20 years, but it is unlikely that resources for intensive care increase correspondingly. Thus, it is important to establish which patients among elderly people will benefit from intensive care. The main objective of the study was to investigate the relationships between geriatric scoring tools and 30-day mortality.

METHODS

The study included 451 Norwegian patients ≥80 years who were included in two prospective European observation studies (VIP (very old intensive care patient)1 of VIP2). Both studies included clinical frailty scale (CFS) while VIP2 also obtained the geriatric scores, comorbidity and polypharmacy score (CPS), Short Form of Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE), and Katz Activity of Daily Living score (Katz ADL).

RESULTS

Survival after 30 days was 59.9%. Risk factors for 30-day mortality were increasing Sequential Organ Failure Assessment (SOFA) score (odds ratio (OR) 1.30; confidence interval (CI) 95% 1.22-1.39) and (CFS) > 3 (CFS 4: OR 1.96 (CI 95% 1.01-3.81); CFS 5-9: OR 1.81 (CI) 95% 1.12-2.93)). Data from VIP2 showed that CFS was the only independent predictor of 30-day mortality when these scores were tested in multivariate analyses separately together with age, SOFA, and gender (OR 1.21 (95% CI 1.03-1.41)).

CONCLUSIONS

Elderly intensive care patients had a 30-day survival rate of 59.9%. Factors strongly associated with 30-day mortality were increasing SOFA score and increasing frailty (CFS). Other geriatric scores had no significant association with survival in multivariate analyses.

Risk factors associated with day-30 mortality in patients over 60 years old admitted in ICU for severe COVID-19: the Senior-COVID-Rea Multicentre Survey protocol

INTRODUCTION

With the spread of COVID-19 epidemic, health plans must be adapted continuously. There is an urgent need to define the best care courses of patients with COVID-19, especially in intensive care units (ICUs), according to their individualised benefit/risk ratio. Since older age is associated with poorer short-term and long-term outcomes, prediction models are needed, that may assist clinicians in their ICU admission decision. Senior-COVID-Rea was designed to evaluate, in patients over 60 years old admitted in ICU for severe COVID-19 disease, the impact of age and geriatric and paraclinical parameters on their mortality 30 days after ICU admission.

METHODS AND ANALYSIS

This is a multicentre survey protocol to be conducted in seven hospitals of the Auvergne-Rhône-Alpes region, France. All patients over 60 years old admitted in ICU for severe COVID-19 infection (or their legally acceptable representative) will be proposed to enter the study and to fill in a questionnaire regarding their functional and nutritional parameters 1 month before COVID-19 infection. Paraclinical parameters at ICU admission will be collected: lymphocytes and neutrophils counts, high-fluorescent lymphoid cells and immature granulocytes percentages (Sysmex data), D-dimers, C-reactive protein, lactate dehydrogenase (LDH), creatinine, CT scan for lung extension rate as well as clinical resuscitation scores, and the delay between the first signs of infection and ICU admission. The primary outcome will be the overall survival at day 30 post-ICU admission. The analysis of factors predicting mortality at day 30 will be carried out using univariate and multivariate logistic regressions. Multivariate logistic regression will consider up to 15 factors.The ambition of this trial, which takes into account the different approaches of geriatric vulnerability, is to define the respective abilities of different operational criteria of frailty to predict patients' outcomes.

ETHICS AND DISSEMINATION

The study protocol was ethically approved. The results of the primary and secondary objectives will be published in peer-reviewed journals.

TRIAL REGISTRATION NUMBER

NCT04422340.

Frailty assessed by administrative tools and mortality in patients with pneumonia admitted to the hospital and ICU in Wales

The ideal method of identifying frailty is uncertain, and data on long-term outcomes is relatively limited. We examined frailty indices derived from population-scale linked data on Intensive Care Unit (ICU) and hospitalised non-ICU patients with pneumonia to elucidate the influence of frailty on mortality. Longitudinal cohort study between 2010-2018 using population-scale anonymised data linkage of healthcare records for adults admitted to hospital with pneumonia in Wales. Primary outcome was in-patient mortality. Odds Ratios (ORs [95% confidence interval]) for age, hospital frailty risk score (HFRS), electronic frailty index (eFI), Charlson comorbidity index (CCI), and social deprivation index were estimated using multivariate logistic regression models. The area under the receiver operating characteristic curve (AUC) was estimated to determine the best fitting models. Of the 107,188 patients, mean (SD) age was 72.6 (16.6) years, 50% were men. The models adjusted for the two frailty indices and the comorbidity index had an increased odds of in-patient mortality for individuals with an ICU admission (ORs for ICU admission in the eFI model 2.67 [2.55, 2.79], HFRS model 2.30 [2.20, 2.41], CCI model 2.62 [2.51, 2.75]). Models indicated advancing age, increased frailty and comorbidity were also associated with an increased odds of in-patient mortality (eFI, baseline fit, ORs: mild 1.09 [1.04, 1.13], moderate 1.13 [1.08, 1.18], severe 1.17 [1.10, 1.23]. HFRS, baseline low, ORs: intermediate 2.65 [2.55, 2.75], high 3.31 [3.17, 3.45]). CCI, baseline < 1, ORs: '1-10' 1.15 [1.11, 1.20], > 10 2.50 [2.41, 2.60]). For predicting inpatient deaths, the CCI and HFRS based models were similar, however for longer term outcomes the CCI based model was superior. Frailty and comorbidity are significant risk factors for patients admitted to hospital with pneumonia. Frailty and comorbidity scores based on administrative data have only moderate ability to predict outcome.

Factors Associated With Frailty in Patients Undergoing Cardiac Surgery: A Longitudinal Study

BACKGROUND

Frailty may increase the risk of complications and mortality in patients undergoing cardiac surgery. Few studies on frailty and its associated factors have been conducted in these patients.

OBJECTIVE

The aim of this study was to explore frailty and related factors in patients undergoing cardiac surgery.

METHODS

A total of 154 patients undergoing cardiac surgery in northern Taiwan were recruited using a longitudinal study design and interviewed using structured questionnaires assessing physical activity, anxiety and depression, and social support before surgery and at 1 month and 3 months after surgery.

RESULTS

The prevalence of frailty in patients undergoing cardiac surgery was 16.2%, 20.5%, and 16.6% before surgery and at 1 month and 3 months after surgery, respectively. Frail and prefrail patients undergoing cardiac surgery were more likely to be unemployed, have gout, have a higher New York Heart Association class, have preoperative dysrhythmia, undergo cardiopulmonary bypass, have a lower functional ability, have a higher European System for Cardiac Operative Risk Evaluation score, have a longer anesthesia time, have longer endotracheal tube and extracorporeal circulation times, have longer intensive care unit and hospital stays, have lower hemoglobin and albumin levels, have higher anxiety and depression levels, and have lower Mini-Mental State Examination scores. The significant predictors of prefrailty and frailty included unemployment, the presence of gout, higher New York Heart Association classes, less independence in activities of daily living, lower hemoglobin levels, and higher levels of depression.

CONCLUSIONS

Frailty was associated with patients' functional status, perioperative conditions and psychosocial factors. Preoperative assessments of frailty and appropriate interventions are needed to improve frailty in patients undergoing cardiac surgery.

[Post-intensive care syndrome]

Post-intensive care syndrome is an entity defined in 2010 and covering any sequelae following an extended hospitalization in intensive care unit. It comprises psychological, cognitive and physical disorders (neuromyopathy, respiratory dysfunction, joint stiffness, among others). These sequelae have important consequences on autonomy and quality of life of these patients, as well as on their healthcare consumption and on mortality. Psychological sequelae can also be seen in hospitalized patients' relatives. Screening and management of these disorders is more and more frequent but no method has formally proven effective. The number of patients surviving an intensive care unit hospitalization is increasing, and management of post-intensive care syndrome is a major issue. It seems important that the internist be aware of this syndrome, given his pivotal role in global management of patients and frequent implication into care after the intensive care unit.

Theorising survivorship after intensive care: A systematic review of patient and family experiences

AIMS AND OBJECTIVE

This systematic literature review explores and maps what we know about survivorship to understand how survivorship can be theoretically defined.

BACKGROUND

Survivorship of critical illness has been identified as a challenge for the 21st Century. Whilst the use of the term 'survivorship' is now common in critical care, it has been borrowed from the cancer literature where the discourse on what survivorship means in a cancer context is ongoing and remains largely descriptive. In the absence of a theoretical understanding, the term 'survivorship' is often used in critical illness in a generic way, limiting our understanding of what survivorship is. The current COVID-19 pandemic adds to an urgency of understanding what intensive care unit (ICU) survivorship might mean, given the emerging long-term consequences of this patient cohort. We set out to explore how survivorship after critical illness is being conceptualised and what the implications might be for clinical practice and research.

DESIGN

Integrated systematic literature review. The review protocol was registered with PROSPERO International Prospective Register of Systematic Reviews. PRISMA guidelines were followed and a PRISMA checklist for reporting systematic reviews completed.

RESULTS

The three main themes around which the reviewed studies were organised are: (a) healthcare system; (b) ICU survivors' families; and (c) ICU survivor's identity. These three themes feed into an overarching core theme of 'ICU Survivorship Experiences'. These themes map our current knowledge of what happens when a patient survives a critical illness and where we are in understanding ICU survivorship.

CONCLUSION

We mapped in this systematic review the different pieces of the jigsaw that emerge following critical illness to understand and see the bigger picture of what happens after patients survive critical illness. It is evident that existing research has mapped these connections, but what we have not managed to do yet is defining what survivorship is theoretically. We offer a preliminary definition of survivorship as a process but are aware that this definition needs to be developed further with patients and families.

Non-sedation-Does it improve health-related quality of life after critical illness? A 3-month follow-up sub-study of the NONSEDA trial

BACKGROUND

Critical illness is associated with severely impaired health-related quality of life (HRQoL) for years following discharge. The NONSEDA trial was a multicenter randomized trial on non-sedation versus sedation with a daily wake-up trial in critically ill, mechanically ventilated patients in Scandinavia. The aim of this sub-study was to assess the effect of non-sedation on HRQoL and degree of independence in activities in daily living (ADL) 3 months post-ICU.

METHODS

All survivors were asked to complete the Medical Outcomes Study Short-Form 36 questionnaire (SF-36) and the Barthel Index 3 months post-ICU. To limit missing data, reminders were sent. If unsuccessful, telephone interviews could be used. Outcomes were the level of HRQoL and ADL-function in each group. All outcomes were assessed blinded.

RESULTS

Of the 700 patients included 412 survived to follow-up. A total of 344 survivors participated (82%). Baseline data were equal between the two groups. Mean SF-36 scores for the non-sedated vs sedated patients were as follows: Physical Function 45 vs 40, P = .69, Bodily Pain: 61 vs 52, P = .81, General Health: 50 vs 50, P = .84, Vitality: 42 vs 44, P = .85, Social Function: 75 vs 63, P = .85, Role Emotional: 58 vs 50, P = .82, Mental Health: 70 vs 70, P = .89, Role Physical: 25 vs 28, P = .32, Physical Component Score: 38 vs 37, P = .81, Mental Component Score: 48 vs 46, P = .94, Barthel Index: 20 vs 20, P = .74.

CONCLUSION

Randomization to non-sedation neither improved nor impaired health-related quality of life or degree of independence in activities in daily living 3 months post-ICU discharge.

Measuring frailty in younger populations: a rapid review of evidence

OBJECTIVES

Frailty is typically assessed in older populations. Identifying frailty in adults aged under 60 years may also have value, if it supports the delivery of timely care. We sought to identify how frailty is measured in younger populations, including evidence of the impact on patient outcomes and care.

DESIGN

A rapid review of primary studies was conducted.

DATA SOURCES

Four databases, three sources of grey literature and reference lists of systematic reviews were searched in March 2020.

ELIGIBILITY CRITERIA

Eligible studies measured frailty in populations aged under 60 years using experimental or observational designs, published after 2000 in English.

DATA EXTRACTION AND SYNTHESIS

Records were screened against review criteria. Study data were extracted with 20% of records checked for accuracy by a second researcher. Data were synthesised using a narrative approach.

RESULTS

We identified 268 studies that measured frailty in samples that included people aged under 60 years. Of these, 85 studies reported evidence about measure validity. No measures were identified that were designed and validated to identify frailty exclusively in younger groups. However, in populations that included people aged over and under 60 years, cumulative deficit frailty indices, phenotype measures, the FRAIL Scale, the Liver Frailty Index and the Short Physical Performance Battery all demonstrated predictive validity for mortality and/or hospital admission. Evidence of criterion validity was rare. The extent to which measures possess validity across the younger adult age (18-59 years) spectrum was unclear. There was no evidence about the impact of measuring frailty in younger populations on patient outcomes and care.

CONCLUSIONS

Limited evidence suggests that frailty measures have predictive validity in younger populations. Further research is needed to clarify the validity of measures across the adult age spectrum, and explore the utility of measuring frailty in younger groups.

Frailty status among older critically ill patients with severe acute kidney injury

BACKGROUND

Frailty status among critically ill patients with acute kidney injury (AKI) is not well described despite its importance for prognostication and informed decision-making on life-sustaining therapies. In this study, we aim to describe the epidemiology of frailty in a cohort of older critically ill patients with severe AKI, the outcomes of patients with pre-existing frailty before AKI and the factors associated with a worsening frailty status among survivors.

METHODS

This was a secondary analysis of a prospective multicentre observational study that enrolled older (age > 65 years) critically ill patients with AKI. The clinical frailty scale (CFS) score was captured at baseline, at 6 months and at 12 months among survivors. Frailty was defined as a CFS score of ≥ 5. Demographic, clinical and physiological variables associated with frailty as baseline were described. Multivariable Cox proportional hazard models were constructed to describe the association between frailty and 90-day mortality. Demographic and clinical factors associated with worsening frailty status at 6 months and 12 months were described using multivariable logistic regression analysis and multistate models.

RESULTS

Among the 462 patients in our cohort, median (IQR) baseline CFS score was 4 (3-5), with 141 (31%) patients considered frail. Pre-existing frailty was associated with greater hazard of 90-day mortality (59% (n = 83) for frail vs. 31% (n = 100) for non-frail; adjusted hazards ratio [HR] 1.49; 95% CI 1.11-2.01, p = 0.008). At 6 months, 68 patients (28% of survivors) were frail. Of these, 57% (n = 39) were not classified as frail at baseline. Between 6 and 12 months of follow-up, 9 (4% of survivors) patients transitioned from a frail to a not frail status while 10 (4% of survivors) patients became frail and 11 (5% of survivors) patients died. In multivariable analysis, age was independently associated with worsening CFS score from baseline to 6 months (adjusted odds ratio [OR] 1.08; 95% CI 1.03-1.13, p = 0.003).

CONCLUSIONS

Pre-existing frailty is an independent risk factor for mortality among older critically ill patients with severe AKI. A substantial proportion of survivors experience declining function and worsened frailty status within one year.

Using Consumer-Grade Physical Activity Trackers to Measure Frailty Transitions in Older Critical Care Survivors: Exploratory Observational Study

Background

Critical illness has been suggested as a sentinel event for frailty development in at-risk older adults. Frail critical illness survivors are affected by increased adverse health outcomes, but monitoring the recovery after intensive care unit (ICU) discharge is challenging. Clinicians and funders of health care systems envision an increased role of wearable devices in monitoring clinically relevant measures, as sensor technology is advancing rapidly. The use of wearable devices has also generated great interest among older patients, and they are the fastest growing group of consumer-grade wearable device users. Recent research studies indicate that consumer-grade wearable devices offer the possibility of measuring frailty.

Objective

This study aims to examine the data collected from wearable devices for the progression of frailty among critical illness survivors.

Methods

An observational study was conducted with 12 older survivors of critical illness from Kingston General Hospital in Canada. Frailty was measured using the Clinical Frailty Scale (CFS) at ICU admission, hospital discharge, and 4-week follow-up. A wearable device was worn between hospital discharge and 4-week follow-up. The wearable device collected data on step count, physical activity, sleep, and heart rate (HR). Patient assessments were reviewed, including the severity of illness, cognition level, delirium, activities of daily living, and comorbidity.

Results

The CFS scores increased significantly following critical illness compared with the pre-ICU frailty level (P=.02; d=−0.53). Survivors who were frail over the 4-week follow-up period had significantly lower daily step counts than survivors who were not frail (P=.02; d=1.81). There was no difference in sleep and HR measures. Daily step count was strongly correlated with the CFS at 4-week follow-up (r=−0.72; P=.04). The average HR was strongly correlated with the CFS at hospital discharge (r=−0.72; P=.046). The HR SD was strongly correlated (r=0.78; P=.02) with the change in CFS from ICU admission to 4-week follow-up. No association was found between the CFS and sleep measures. The pattern of increasing step count over the 4-week follow-up period was correlated with worsening of frailty (r=.62; P=.03).

Conclusions

This study demonstrated an association between frailty and data generated from a consumer-grade wearable device. Daily step count and HR showed a strong association with the frailty progression of the survivors of critical illness over time. Understanding this association could unlock a new avenue for clinicians to monitor and identify a vulnerable subset of the older adult population that might benefit from an early intervention.

Frailty and Quality of Life Among Community-Dwelling Older Adults

Older people often feel weak and have limited physical activity and walking capacity, without energy. These characteristics meet the conditions for the onset of the frailty syndrome. The effect that frailty syndrome can have on the elderly’s quality of life (QOL) status has not been sufficiently explored, especially in the Greek population. This study aims to investigate the correlation between frailty and QOL in a community population of elderly people with independent living. A descriptive cross-sectional study was performed. The study sample consisted of 257 elderly people from three Open Care Centers for the Elderly Population of the Municipality of Grevena, Greece. The Tilburg Frailty Indicator was used to measure frailty in elderly people and the World Health Organization QOL-BREF was used to assess the health-related QOL of older people. The majority of elderly people showed relatively low overall frailty score (mean: 5.44). The elderly people had relatively high QoL assessment values and general satisfaction with their health condition. The obtained results show a statistically significant negative relationship between (i) physical frailty, psychological frailty, and all dimensions of QOL, (ii) social frailty and social relationships, and (iii) total frailty and all dimensions of QOL. Consequently, despite an average age of 75.12 years and higher female participation, the study population was not very frail and were satisfied with their QOL. Frailty has a negative effect in all QOL domains.

Efficacy of preoperative frailty assessment in patients with gastrointestinal disease

AIM

The role of preoperative frailty assessment in patients with gastrointestinal (GI) disease remains unclear. This study aimed to clarify the relationship between frailty and postoperative outcomes in patients with GI disease.

METHODS

This study investigated 42 patients (aged ≥65 years) with GI disease who underwent abdominal surgery. The frailty status was analyzed using the Japanese version of the Cardiovascular Health Study criteria. We also investigated postoperative outcomes.

RESULTS

Of the 42 patients, seven (16.7%) were robust, 24 (57.1%) were prefrail and 11 (26.2%) were frail. Postoperative complications were observed in 45.5% and 63.6% of prefrail and frail patients, respectively, whereas no complications were found in robust patients (P = 0.026). The median hospital stay was 15, 19.5 and 27 days in robust, prefrail and frail patients, respectively (P < 0.01).

CONCLUSION

Preoperative frailty status based on the Japanese version of the Cardiovascular Health Study criteria is associated with postoperative complication incidence and hospital stay extension in patients with GI disease. Geriatr Gerontol Int 2021; ••: ••-••.

Survivors of Intensive Care With Type 2 Diabetes and the Effect of Shared-Care Follow-Up Clinics: The SWEET-AS Randomized Controlled Pilot Study

BACKGROUND

Follow-up clinics after ICU admission have demonstrated limited benefit. However, existing trials have evaluated heterogeneous cohorts and used physicians who had limited training in outpatient care.

RESEARCH QUESTION

What are the effects of a "shared-care" intensivist-endocrinologist clinic for ICU survivors with type 2 diabetes on process measures and clinical outcomes 6 months after hospital discharge, and is it feasible to conduct a larger trial?

STUDY DESIGN AND METHODS

This was a prospective, randomized, single-center pilot study with blinded outcome assessment. Patients with type 2 diabetes, who required ≥ 5 days of ICU care (mixed medical-surgical ICU) and survived to ICU discharge, were eligible. Participants were randomized to attendance at the shared-care clinic 1 month after hospital discharge or usual care. Six months after hospital discharge, participants were assessed for outcomes including glycated hemoglobin, neuropathy, nephropathy, quality of life, return to employment, frailty, and health-care use. The primary outcome was participant recruitment and retention.

RESULTS

During an 18-month period, 42 of 82 eligible patients (51%) were recruited. Four participants (10%) withdrew before assessment at 6 months and 11 (26%) died. At 6 months, only 18 of 38 participants who did not withdraw (47%) were living independently without support, and 24 (63%) required at least one subsequent hospital admission. In the intervention group (n = 21), 16 (76%) attended the clinic. Point estimates did not indicate that the intervention improved glycated hemoglobin (+5.6 mmol/mol; 95% CI, -6.3 to 17; P = .36) or quality of life (36-Item Short Form Survey physical summary score, 32 [9] vs. 32 [7]; P = 1.0).

INTERPRETATION

Outcomes for ICU survivors with type 2 diabetes are poor. Because of low participation and high mortality, a larger trial of a shared-care follow-up clinic in this cohort, using the present design, does not appear feasible.

TRIAL REGISTRY

Australian New Zealand Clinical Trials Registry (ANZCTR); No.: ACTRN12616000206426; URL: www.anzctr.org.au.

Socio-Demographic, Clinical and Psychological Profile of Frailty Patients Living in the Home Environment and Nursing Homes: A Cross-Sectional Study

Introduction: Frailty syndrome, as a physiological syndrome, is characterized by a gradual decline in physiological reserve and a lowered resistance to stress-inducing factors, leading to an increased risk of adverse outcomes. It is significantly connected with dependence on care and frequent hospitalizations. Objectives: The aim of the study was to describe socio-demographic, clinical and psychological profile of frailty older adults living in their own homes and to nursing homes. Methods: The study was conducted with 180 patients who were over 60 years of age, the mean (±SD) was 74.1 (±8.8) years. Among the subjects, 90 individuals were community-dwelling older adults. The survey used a list of socio-demographic questions, as well as the following scales: Mini-Mental State Examination (MMSE), Geriatric Depression Scale (GDS), SHARE-FI, and The World Health Organization Quality of Life (WHOQOL-Bref). Results: Pre-frailty was confirmed in 49 (27.2%) patients, and frailty syndrome was noticed in 47 patients (26.1%). The prevalence of frailty syndrome in the study group was related to: place of living (p < 0.001), age (p < 0.001), widowhood (p < 0.001), a poor economic situation (p < 0.001), basic education level (p < 0.001), living alone (p < 0.001), longer duration of illness (p < 0.001), comorbidities (p < 0.001), more medications taken (p < 0.001), deterioration of hearing (p = 0.003), impairment of cognitive functions (p < 0.001), depression (p < 0.001), and decreased quality of life (p < 0.001). Discussion: A lot of socio-demographic and medical factors, particularly cognitive and mental functioning were connected with the prevalence and progression of frailty syndrome in the study group. Quality of life was significantly dependent on the presence of frailty syndrome, both in homes and in nursing homes.

Risk Factors for Frailty in Critical Care Survivors: A secondary analysis

OBJECTIVES

The purpose of this study was to investigate the prevalence of frailty and its risk factors among critical care survivors who were discharged after receiving treatment in an intensive care unit.

METHODS

This was a secondary analysis using data from a methodological study conducted between June and August 2018. The sample included 494 adults who had been admitted to the intensive care unit for more than 48 hours within a year. Only post-intensive care frailty was evaluated using the Kihon Checklist. The sociodemographic and intensive care-related risk factors for frailty were analysed using multivariate logistic regression.

RESULTS

The prevalence of frailty in the sample was 65.8%. The risk factors for frailty were female sex (adjusted odds ratio [aOR] = 1.68, 95% CI: 1.02-2.78), aged 70 years or older (aOR = 4.16, 95% CI: 2.00-8.65), unemployment (aOR = 2.41, 95% CI: 1.39-4.17) and longer ICU days (aOR = 2.29, 95% CI: 1.35-3.91). Analysis of differences in risk factors according to sex revealed that risk factors for frailty were unemployment and longer ICU length of stay for male and older age for female.

CONCLUSION

Health care providers should be aware of frailty risk factors in female and male patients and provide patient-specific interventions for preventing frailty.

Frailty and long-term outcomes following critical illness: A population-level cohort study

PURPOSE

To provide population-level estimates of the association of frailty with one-year outcomes after critical illness.

MATERIALS AND METHODS

Retrospective cohort study of patients who survived an ICU admission between April 2002 and March 2015. Pre-existing frailty was classified using the Johns Hopkins Adjusted Clinical Groups frailty indicator. Multivariable Cox regression and Fine and Gray models were used to examine the association between frailty and mortality and hospital readmission.

RESULTS

Of 534,991 patients, 19.3% had pre-existing frailty. Compared to non-frail survivors, at one-year frail patients had higher mortality (18.3% vs 9.5%, adjusted HR 1.17 95% CI: 1.15-1.19) and hospital readmission (44.4% vs 36.6%, adjusted HR 1.10 95% CI: 1.08-1.11) and a CAN$19,628 (95% CI: $19,279-$19,997) greater increase in healthcare costs compared to the year prior to hospitalization. The association between frailty and mortality was stronger among older individuals, but the risk of readmission among frail patients decreased with age.

CONCLUSION

Patients with pre-existing frailty who develop critical illness have higher rates of hospital readmission and death than patients without frailty, and age modifies these associations. These data highlight the importance of considering both frailty and age when seeking to identify at-risk patients who might benefit from closer follow-up after discharge.

Patient or family perceived deterioration in functional status and outcome after intensive care admission: a retrospective cohort analysis of routinely collected data

OBJECTIVE

To explore the association of patient or family reported functional deterioration (defined by a single question) in the preceding year, with mortality outcome for those admitted to the intensive care unit (ICU).

DESIGN

Retrospective observational analysis of a routinely collected data source.

PARTICIPANTS

Patients that were admitted to the ICU at Northwick Park and St Marks Hospitals, London North West University Healthcare NHS Trust between 01 October 2017 to 15 June 2019 were included. Patients were excluded if they had a prior ICU admission during the existing hospital episode or if information on functional deterioration could not be retrieved from either the patient or their advocate.

PRIMARY OUTCOMES

Mortality at the point of hospital discharge and 1 year following admission to the ICU.

RESULTS

Of the 1006 patients who were admitted to the ICU during the study period, information on functional deterioration was available for 621 patients who were included in the analysis. From these, 251 (40.4%) patients had patient or family reported functional deterioration in the preceding year, while 370 (59.6%) patients had a perceived stable functional baseline. Comparing the two groups, mortality was significantly higher in those who had functionally deteriorated compared with those with stable baseline function, at the point of hospital discharge (45.4% vs 25.9%; p<0.0001) and at 1 year (59.4% vs 33.0%; p<0.0001).

CONCLUSION

Patient or family reported functional deterioration was significantly associated with higher mortality at the point of hospital discharge and at 1 year. The concept of functional deterioration in the lead up to ICU admission warrants further exploration.

The association between frailty and severe disease among COVID-19 patients aged over 60 years in China: a prospective cohort study

BACKGROUND

The coronavirus disease 2019 (COVID-19) has been a pandemic worldwide. Old age and underlying illnesses are associated with poor prognosis among COVID-19 patients. However, whether frailty, a common geriatric syndrome of reduced reserve to stressors, is associated with poor prognosis among older COVID-19 patients is unknown. The aim of our study is to investigate the association between frailty and severe disease among COVID-19 patients aged ≥ 60 years.

METHODS

A prospective cohort study of 114 hospitalized older patients (≥ 60 years) with confirmed COVID-19 pneumonia was conducted between 7 February 2020 and 6 April 2020. Epidemiological, demographic, clinical, laboratory, and outcome data on admission were extracted from electronic medical records. All patients were assessed for frailty on admission using the FRAIL scale, in which five components are included: fatigue, resistance, ambulation, illnesses, and loss of weight. The outcome was the development of the severe disease within 60 days. We used the Cox proportional hazards models to identify the unadjusted and adjusted associations between frailty and severe illness. The significant variables in univariable analysis were included in the adjusted model.

RESULTS

Of 114 patients, (median age, 67 years; interquartile range = 64-75 years; 57 [50%] men), 39 (34.2%), 39 (34.2%), and 36 (31.6%) were non-frail, pre-frail, and frail, respectively. During the 60 days of follow-up, 43 severe diseases occurred including eight deaths. Four of 39 (10.3%) non-frail patients, 15 of 39 (38.5%) pre-frail patients, and 24 of 36 (66.7%) frail patients progressed to severe disease. After adjustment of age, sex, body mass index, haemoglobin, white blood count, lymphocyte count, albumin, CD8+ count, D-dimer, and C-reactive protein, frailty (HR = 7.47, 95% CI 1.73-32.34, P = 0.007) and pre-frailty (HR = 5.01, 95% CI 1.16-21.61, P = 0.03) were associated with a higher hazard of severe disease than the non-frail.

CONCLUSIONS

Frailty, assessed by the FRAIL scale, was associated with a higher risk of developing severe disease among older COVID-19 patients. Our findings suggested that the use of a clinician friendly assessment of frailty could help in early warning of older patients at high-risk with severe COVID-19 pneumonia.

Preoperative Risk Assessment: A Poor Predictor of Outcome in Critically ill Elderly with Sepsis After Abdominal Surgery

Background

Postoperative outcome prediction in elderly is based on preoperative physical status but its predictive value is uncertain. The goal was to evaluate the value of risk assessment performed perioperatively in predicting outcome in case of admission to an intensive care unit (ICU).

Methods

A total of 108 postsurgical patients were retrospectively selected from a prospectively recorded database of 144 elderly septic patients (>70 years) admitted to the ICU department after elective or emergency abdominal surgery between 2012 and 2017. Perioperative risk assessment scores including Portsmouth Physiological and Operative Severity Score for the enumeration of Mortality (P-POSSUM) and American Society of Anaesthesiologists Physical Status classification (ASA) were determined. Acute Physiology and Chronic Health Evaluation IV (APACHE IV) was obtained at ICU admission.

Results

In-hospital mortality was 48.9% in elderly requiring ICU admission after elective surgery (n = 45), compared to 49.2% after emergency surgery (n = 63). APACHE IV significantly predicted in-hospital mortality after complicated elective surgery [area under the curve 0.935 (p < 0.001)] where outpatient ASA physical status and P-POSSUM did not. In contrast, P-POSSUM and APACHE IV significantly predicted in-hospital mortality when based on current physical state in elderly requiring emergency surgery (AUC 0.769 (p = 0.002) and 0.736 (p = 0.006), respectively).

Conclusions

Perioperative risk assessment reflecting premorbid physical status of elderly loses its value when complications occur requiring unplanned ICU admission. Risks in elderly should be re-assessed based on current clinical condition prior to ICU admission, because outcome prediction is more reliable then.

Frailty Is Associated With Decreased Time Spent at Home After Critical Illness: A Population-Based Study

BACKGROUND

Frailty is characterized by vulnerability to stressors due to an accumulation of multiple functional deficits. Frailty is increasingly recognized as a risk factor for accelerated functional decline, increasing dependency, and risk of mortality. The objective of this study was to examine the association of frailty, at the time of critical care admission, with days alive at home and health care costs post-discharge.

METHODS

This retrospective cohort study used linked administrative data (2010-2016) in Ontario, Canada. We identified all patients admitted at the intensive care unit (ICU), aged 19 years and above, assessed using the Resident Assessment Instrument for Home Care (RAI-HC), within 6 months prior to index hospitalization including an ICU stay. Patients were stratified as robust, pre-frail, or frail based on a validated Frailty Index. The primary outcome was days alive at home in the year after admission. Secondary outcomes included mortality, health care-associated costs, ICU interventions, long-term care admissions, and hospital readmissions.

RESULTS

Frail patients spent significantly fewer days at home within 1 year of index hospitalization (mean 159 days vs 223 days in robust cohort, P < .001). Mortality was higher among frail patients at 1 year (59.6% in the frail cohort vs 45.9% in robust patients; odds ratio for death 1.59 [1.49-1.69]). Frail patients also had higher rates of long-term care admission within 1 year (30.1% vs 10.6% in robust patients). Total health care-associated costs per person alive were $30 450 higher the year after admission in the frail cohort.

CONCLUSIONS

Frailty prior to ICU admission among patients who were eligible for RAI-HC assessment was associated with higher mortality and fewer days spent at home following admission. Frail patients had markedly higher rates of long-term care admission and increased costs per life saved following critical illness. These findings add to the discussion of risk-benefit trade-offs for ICU admission.

Frailty in Critical Care Medicine: A Review

Traditional approaches to clinical risk assessment utilize age as a marker of increased vulnerability to stress. Relatively recent advancements in the study of aging have led to the concept of the frailty syndrome, which represents a multidimensional state of depleted physiologic and psychosocial reserve and clinical vulnerability that is related to but variably present with advancing age. The frailty syndrome is now a well-established clinical entity that serves as both a guide for clinical intervention and a predictor of poor outcomes in the primary and acute care settings. The biological aspects of the syndrome broadly represent a network of interrelated perturbations involving the age-related accumulation of molecular, cellular, and tissue damage that leads to multisystem dysregulation, functional decline, and disproportionately poor response to physiologic stress. Given the complexity of the underlying biologic processes, several well-validated approaches to define frailty clinically have been developed, each with distinct and reasonable considerations. Stemming from this background, the past several years have seen a number of observational studies conducted in intensive care units that have established that the determination of frailty is both feasible and prognostically useful in the critical care setting. Specifically, frailty as determined by several different frailty measurement tools appears associated with mortality, increased health care utilization, and disability, and has the potential to improve risk stratification of intensive care patients. While substantial variability in the implementation of frailty measurement likely limits the generalizability of specific findings, the overall prognostic trends may offer some assistance in guiding management decisions with patients and their families. Although no trials have assessed interventions to improve the outcomes of critically ill older people living with frailty, the particular vulnerability of this population offers a promising target for intervention in the future.

Critical Illness and the Frailty Syndrome: Mechanisms and Potential Therapeutic Targets

Frailty is a syndrome characterized by decreased reserves across multiple physiologic systems resulting in functional limitations and vulnerability to new stressors. Physical frailty develops over years in community-dwelling older adults but presents or worsens within days in the intensive care unit (ICU) because common mechanisms governing age-related physical frailty are often exacerbated by critical illness. The hallmark of physical frailty is a combined loss of muscle mass, force, and endurance. About one-third of ICU patients have frailty before hospitalization, which increases their risk for both short- and long-term disability and mortality. While there are several valid ways to measure clinical frailty in patients before or after an ICU admission, the mechanistic underpinnings of frailty in critically ill patients and ICU survivors have not been thoroughly investigated. Furthermore, therapeutic interventions to treat frailty during and after time in the ICU are lacking. In this narrative review, we examine studies that identify potential biological mechanisms underlying the development and propagation of physical frailty in both aging and critical illness (eg, inflammation, mitochondrial myopathy, and neuroendocrinopathy). We discuss specific aspects of these frailty mechanisms in older adults, critically ill patients, and ICU survivors that may represent therapeutic targets. Consistent with complexity underlying frailty, this syndrome is unlikely to result from an excess of a single harmful mediator or deficit of a single protective mediator. Rather, frailty occurs in the presence of an incompletely understood state of multisystem dysregulation. We further describe knowledge gaps that warrant clinical and translational research in frailty and critical care with an overall goal of developing effective frailty treatments in critically ill patients and ICU survivors.

Protein Requirements during Hypocaloric Nutrition for the Older Patient With Critical Illness and Obesity: An Approach to Clinical Practice

Current guidelines recommend a hypocaloric, high protein nutrition regimen for patients with obesity and critical illness. The impact of advancing age presents with unique challenges in which a greater protein intake is required to overcome the anabolic resistance associated with aging in the face of presumed decreased renal function. The primary objective of this review is to provide an overview of the impact of obesity and advancing age on protein requirements for patients with critical illness and review the scientific evidence supporting the rationale for hypocaloric, high protein nutrition for this subpopulation, as well as provide some practical suggestions for their clinical management.

Prehospital Frailty and Screening Criteria for Palliative Care Services in Critically Ill Older Adults: An Observational Cohort Study

Background: The use of formalized criteria (or triggers) for palliative care services (PCSs) has been associated with increased use of PCSs in the intensive care unit (ICU). Objective: To explore the utility/validity of frailty as a trigger for providing PCSs. Design: This is a prospective cohort study. Setting/Subjects: Older adults (age ≥50 years) admitted to ICUs were enrolled. Measurements: We measured frailty using the Clinical Frailty Scale. We reviewed electronic health records for the presence/absence of six evidence-based triggers, the use and quality of specialty palliative care (SPC), and markers of primary palliative care (PPC). We used descriptive statistics to describe the differences in PPC, SPC, and six-month mortality by frailty and by the presence/absence of triggers. Results: In a study population of 302 older adults, mean (standard deviation) age 67.2 years (10.5), 151 (50%) were frail and 105 (34.8%) had ≥1 trigger for PCSs. Of the 151 (55.6%) frail patients, 84 had no triggers for PCSs, despite a 46.4% six-month mortality in this group. Patients with ≥1 trigger had higher rates of SPC than those without (39.1% vs. 18.3%, p < 0.001); frail patients also had higher SPC than nonfrail patients (32.5% vs. 18.5%, p = 0.006). Patients with ≥1 trigger had higher rates of PPC than those without (66.7% vs. 44.2%, p < 0.001); no statistically significant difference in PPC was found by frailty (56.3% vs. 47.7%, p = 0.134). Conclusion: The rates of PCSs and six-month mortality by frailty are consistent with frailty being a valid trigger for PCSs in ICUs; the high prevalence of frailty relative to triggers suggests that ways to increase PCSs would be needed.

Associations Between Obesity and Multidimensional Frailty in Older Chinese People with Hypertension

Purpose

To investigate the prevalence of multidimensional frailty in older people with hypertension and to examine a possible relationship of general obesity and abdominal obesity to frailty in older people with hypertension.

Patients and Methods

A sample of 995 community-dwelling older people with hypertension, aged 65 years and older and living in Zhengzhou (China), completed the Tilburg Frailty Indicator (TFI), a validated self-report questionnaire for assessing multidimensional frailty. In addition, socio-demographic and lifestyle characteristics were assessed by self-report, and obesity was determined by measuring waist circumference and calculating the body mass index.

Results

The prevalence of multidimensional frailty in this older population with hypertension was 46.5%. Using multiple linear regression analysis, body mass index was significantly associated with physical frailty (p = 0.001), and waist circumference was significantly positively associated with multidimensional frailty and all three frailty domains. Older age was positively associated with multidimensional frailty, physical frailty, and psychological frailty, while gender (woman) was positively associated with multidimensional, psychological, and social frailty. Furthermore, comorbid diseases and being without a partner were positively associated with multidimensional, physical, psychological, and social frailty. Of the lifestyle characteristics, drinking alcohol was positively associated with frailty domains.

Conclusion

Multidimensional frailty was highly prevalent among Chinese community-dwelling older people with hypertension. Abdominal obesity could be a concern in physical frailty, psychological frailty, and social frailty, while general obesity was concerning in relation to physical frailty.

Palliative Care and End-of-Life Considerations for the Frail Patient

Patients with frailty experience substantial physical and emotional distress related to their condition and face increased morbidity and mortality compared with their nonfrail peers. Palliative care is an interdisciplinary medical specialty focused on improving quality of life for patients with serious illness, including those with frailty, throughout their disease course. Anesthesiology providers will frequently encounter frail patients in the perioperative period and in the intensive care unit (ICU) and can contribute to improving the quality of life for these patients through the provision of palliative care. We highlight the opportunities to incorporate primary palliative care, including basic symptom management and straightforward goals-of-care discussions, provided by the primary clinicians, and when necessary, timely consultation by a specialty palliative care team to assist with complex symptom management and goals-of-care discussions in the face of team and/or family conflict. In this review, we apply the principles of palliative care to patients with frailty and synthesize the evidence regarding methods to integrate palliative care into the perioperative and ICU settings.

Mediation of age in the association between frailty and large artery atherosclerosis burden - A population study in community-dwelling older adults

BACKGROUND

A systematic evaluation of the relationship between frailty and large artery atherosclerosis (LAA) burden has not been carried out. Here, we aimed to assess the association between these variables in community-dwelling older adults living in Atahualpa (rural Ecuador).

METHODS

Participants underwent frailty assessment and determinations of LAA in several vascular beds. Frailty was estimated by the Edmonton Frailty Scale (EFS). LAA was investigated in the peripheral vascular bed by means of ankle-brachial index determinations, in the extracranial carotid bed by B-mode ultrasounds, and in the intracranial bed by high-resolution CT and time-of-flight MRA. Ordinal logistic regression with interaction models were fitted to assess the independent association between levels of cognitive frailty and the LAA burden. Casual mediation and sensitivity analysis, and the E value, evaluated the effect of age in this association.

RESULTS

Out of 331 included individuals, 176 (53%) were robust and the remaining 47% were either pre-frail (n = 78) or frail (n = 77). Atherosclerosis affected only one (any) vascular bed in 111 (34%) individuals, two beds in 75 (23%), and three beds in 22 (7%); the remaining 123 (37%) had no evidence of atherosclerosis. Univariate analysis showed a significant inverse association between the robust status of cognitive frailty and LAA burden (p = 0.006). This association vanishes after considering the effect of covariates. Causal mediation analysis confirms that age captures 51.8% (95% C.I.: 34.6 to 97.2%) of the effect of the association. Sensitivity analysis and E-value computation find that the amount of bias provided by age is enough to explain away the effect estimate.

CONCLUSIONS

This study found no independent relationship between cognitive frailty and LAA burden.

Guidance for the care of neuromuscular patients during the COVID-19 pandemic outbreak from the French Rare Health Care for Neuromuscular Diseases Network

In France, the epidemic phase of COVID-19 caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) began in February 2020 and resulted in the implementation of emergency measures and a degradation in the organization of neuromuscular reference centers. In this special context, the French Rare Health Care for Neuromuscular Diseases Network (FILNEMUS) has established guidance in an attempt to homogenize the management of neuromuscular (NM) patients within the French territory. Hospitalization should be reserved for emergencies, the conduct of treatments that cannot be postponed, check-ups for which the diagnostic delay may result in a loss of survival chance, and cardiorespiratory assessments for which the delay could be detrimental to the patient. A national strategy was adopted during a period of 1 to 2 months concerning treatments usually administered in hospitalization. NM patients treated with steroid/immunosuppressants for a dysimmune pathology should continue all of their treatments in the absence of any manifestations suggestive of COVID-19. A frequently asked questions (FAQ) sheet has been compiled and updated on the FILNEMUS website. Various support systems for self-rehabilitation and guided exercises have been also provided on the website. In the context of NM diseases, particular attention must be paid to two experimental COVID-19 treatments, hydroxycholoroquine and azithromycin: risk of exacerbation of myasthenia gravis and QT prolongation in patients with pre-existing cardiac involvement. The unfavorable emergency context related to COVID-19 may specially affect the potential for intensive care admission (ICU) for people with NMD. In order to preserve the fairest medical decision, a multidisciplinary working group has listed the neuromuscular diseases with a good prognosis, usually eligible for resuscitation admission in ICU and, for other NM conditions, the positive criteria suggesting a good prognosis. Adaptation of the use of noninvasive ventilation (NIV) make it possible to limit nebulization and continue using NIV in ventilator-dependent patients.

Frequency of Screening for Weaning From Mechanical Ventilation: Two Contemporaneous Proof-of-Principle Randomized Controlled Trials

OBJECTIVES

It is unknown whether more frequent screening of invasively ventilated patients, identifies patients earlier for a spontaneous breathing trial, and shortens the duration of ventilation. We assessed the feasibility of conducting a large trial to evaluate screening frequency in critically ill adults in the North American context.

DESIGN

We conducted two contemporaneous, multicenter, pilot, randomized controlled trials (the LibeRation from MEchanicaL VEntilAtion and ScrEening Frequency [RELEASE] and Screening Elderly PatieNts For InclusiOn in a Weaning [SENIOR] trials) to address concerns regarding the potential for higher enrollment, fewer adverse events, and better outcomes in younger patients.

SETTING

Ten and 11 ICUs in Canada, respectively.

PATIENTS

Parallel trials of younger (RELEASE < 65 yr) and older (SENIOR ≥ 65 yr) critically ill adults invasively ventilated for at least 24 hours.

INTERVENTIONS

Each trial compared once daily screening to "at least twice daily" screening led by respiratory therapists.

MEASUREMENTS AND MAIN RESULTS

In both trials, we evaluated recruitment (aim: 1-2 patients/month/ICU) and consent rates, reasons for trial exclusion, protocol adherence (target: ≥ 80%), crossovers (aim: ≤ 10%), and the effect of the alternative screening frequencies on adverse events and clinical outcomes. We included 155 patients (53 patients [23 once daily, 30 at least twice daily] in RELEASE and 102 patients [54 once daily, 48 at least twice daily] in SENIOR). Between trials, we found similar recruitment rates (1.32 and 1.26 patients/month/ICU) and reasons for trial exclusion, high consent and protocol adherence rates (> 92%), infrequent crossovers, and few adverse events. Although underpowered, at least twice daily screening was associated with a nonsignificantly faster time to successful extubation and more successful extubations but significantly increased use of noninvasive ventilation in both trials combined.

CONCLUSIONS

Similar recruitment and consent rates, few adverse events, and comparable outcomes in younger and older patients support conduct of a single large trial in North American ICUs assessing the net clinical benefits associated with more frequent screening.

Frailty in the older person undergoing elective surgery: a trigger for enhanced multidisciplinary management - a narrative review

BACKGROUND

The ageing of our society has led to increasing numbers of older people requiring elective surgical procedures. Preoperative frailty is a strong predictor of adverse post-operative outcomes. This review aims to summarize the evidence for interventions aimed at improving outcomes in frail older people who may undergo elective surgery.

METHODS

Articles published on perioperative management of frailty between 1 January 1970 and 31 May 2019 were searched using PubMed and EMBASE.

RESULTS

We identified very few studies investigating such interventions, such as comprehensive geriatric assessment, prehabilitation (alone or as a multicomponent strategy) and other multicomponent interventions. Administration of a comprehensive geriatric assessment was shown to be associated with reduced mortality, fewer complications and shorter length of hospital stay, and may be best targeted towards those who are identified as frail for resource efficiency. Multicomponent interventions including prehabilitation may be associated with improved outcomes, but the evidence base for these needs to be strengthened.

CONCLUSION

Establishing multidisciplinary collaborative services to provide person-centred models of care should be considered for older people presenting for elective surgery, particularly in those with greater preoperative frailty. Further large-scale studies should focus on implementing and evaluating such multicomponent models of care.

The intensive care unit: How to make this unfriendly environment geriatric-friendly

Patients 80 years old or older are increasingly being admitted to intensive care units, particularly in western countries, where life expectancy is constantly increasing. The benefits of intensively treating critically ill elderly patients are uncertain. The high mortality rate in the presence of underlying chronic diseases is a factor. More generally, frailty, defined as an impaired resilience following a health stressor event, must be taken into account. No consensus exists on the risk-benefit ratio to admit octogenarians to the ICU. Treatment decisions should account for life expectancy but also tailored to the needs and wishes of patients and next-of-kins. The cohort of elderly patients is known to be the most vulnerable to functional decline and cognitive impairment, including neuropsychological complications, such as delirium.. Interventions directed at reducing the incidence of delirium may mitigate brain injury associated with critical illness, potentially being the single most effective intervention in this population. A multimodal approach to analgesia should be considered to avoid untreated pain and its consequences. Sleep protocols can effectively reduce the risk of delirium. Notably, the deployment of "sleep bundles" (regular sleep-wake rhythms, reduced night-time light, noise control strategies), may be helpful. As well, adequate nutritional support, spontaneous awakening trials, early mobilization, and physical therapy are crucial to prevent physical deconditioning. The psychological consequences of critical illness for both patients and caregivers are also being increasingly recognized. Attention to the needs of families is essential, due to its positive effects on patients and as a quality improvement goal by itself. Death and dying in the ICU is a more frequent outcome in the elderly population. A real culture for the management of distress and grieving is a required skill for the ICU staff. Privacy and adequate palliative care should be contemplated for an ethical and comfortable end of life.

Clinical Frailty Scale Score Before ICU Admission Is Associated With Mobility Disability in Septic Patients Receiving Early Rehabilitation

To clarify the relationship between mobility disability at the time of discharge from the ICU and clinical factors evaluated at ICU admission in septic patients.

The contribution of frailty, cognition, activity of daily life and comorbidities on outcome in acutely admitted patients over 80 years in European ICUs: the VIP2 study

Purpose

Premorbid conditions affect prognosis of acutely-ill aged patients. Several lines of evidence suggest geriatric syndromes need to be assessed but little is known on their relative effect on the 30-day survival after ICU admission. The primary aim of this study was to describe the prevalence of frailty, cognition decline and activity of daily life in addition to the presence of comorbidity and polypharmacy and to assess their influence on 30-day survival.

Methods

Prospective cohort study with 242 ICUs from 22 countries. Patients 80 years or above acutely admitted over a six months period to an ICU between May 2018 and May 2019 were included. In addition to common patients’ characteristics and disease severity, we collected information on specific geriatric syndromes as potential predictive factors for 30-day survival, frailty (Clinical Frailty scale) with a CFS > 4 defining frail patients, cognitive impairment (informant questionnaire on cognitive decline in the elderly (IQCODE) with IQCODE ≥ 3.5 defining cognitive decline, and disability (measured the activity of daily life with the Katz index) with ADL ≤ 4 defining disability. A Principal Component Analysis to identify co-linearity between geriatric syndromes was performed and from this a multivariable model was built with all geriatric information or only one: CFS, IQCODE or ADL. Akaike’s information criterion across imputations was used to evaluate the goodness of fit of our models.

Results

We included 3920 patients with a median age of 84 years (IQR: 81–87), 53.3% males). 80% received at least one organ support. The median ICU length of stay was 3.88 days (IQR: 1.83–8). The ICU and 30-day survival were 72.5% and 61.2% respectively. The geriatric conditions were median (IQR): CFS: 4 (3–6); IQCODE: 3.19 (3–3.69); ADL: 6 (4–6); Comorbidity and Polypharmacy score (CPS): 10 (7–14). CFS, ADL and IQCODE were closely correlated. The multivariable analysis identified predictors of 1-month mortality (HR; 95% CI): Age (per 1 year increase): 1.02 (1.–1.03, p = 0.01), ICU admission diagnosis, sequential organ failure assessment score (SOFA) (per point): 1.15 (1.14–1.17, p < 0.0001) and CFS (per point): 1.1 (1.05–1.15, p < 0.001). CFS remained an independent factor after inclusion of life-sustaining treatment limitation in the model.

Conclusion

We confirm that frailty assessment using the CFS is able to predict short-term mortality in elderly patients admitted to ICU. Other geriatric syndromes do not add improvement to the prediction model. Since CFS is easy to measure, it should be routinely collected for all elderly ICU patients in particular in connection to advance care plans, and should be used in decision making.

Electronic supplementary material

The online version of this article (10.1007/s00134-019-05853-1) contains supplementary material, which is available to authorized users.

Changes in frailty among ICU survivors and associated factors: Results of a one-year prospective cohort study using the Dutch Clinical Frailty Scale

PURPOSE

Frailty is an important predictor for the prognosis of intensive care unit (ICU) patients. This study examined changes in frailty in the year after ICU admission, and its associated factors.

MATERIALS AND METHODS

Prospective cohort study including adult ICU patients admitted between July 2016-December 2017. Frailty was measured using the Clinical Frailty Scale (CFS), before ICU admission, at hospital discharge, and three and 12 months after ICU admission. Multivariable linear regression was used to explore factors associated with frailty changes.

RESULTS

Frailty levels changed among 1300 ICU survivors, with higher levels at hospital discharge and lower levels in the following months. After one year were 42% of the unplanned, and 27% of the planned patients more frail. For both groups were older age, longer hospital length of stay, and discharge location associated with being more frail. Male sex, higher education level and mechanical ventilation were associated with being less frail in the planned patients.

CONCLUSION

One year after ICU admission, 42% and 27% of the unplanned and planned ICU patients, respectively, were more frail. Insight in the associated factors will help to identify patients at risk, and may help in informing patients and their family members.

REGISTRATION

ClinicalTrials.gov database (NCT03246334).

Risk factors of frailty and death or only frailty after intensive care in non-frail elderly patients: a prospective non-interventional study

Background

Frailty status is recognized as an important parameter in critically ill elderly patients, but nothing is known about outcomes in non-frail patients regarding the development of frailty or frailty and death after intensive care. The aim of this study was to determine risk factors for frailty and death or only frailty 6 months after intensive care unit (ICU) admission in non-frail patients ≥ 65 years.

Methods

A prospective non-interventional study performed in an academic ICU from February 2015 to February 2016 included non-frail ≥ 65-year-old patients hospitalized for > 24 h in the ICU. Frailty was assessed by calculating the frailty index (FI) at admission and 6 months later. Patients who remained non-frail (FI < 0.2) were compared to patients who presented frailty (FI ≥ 0.2) and those who presented frailty and death at 6 months.

Results

Among 974 admissions, 136 patients were eligible for the study and 88 patients were analysed at 6 months (non-frail n = 34, frail n = 29, death n = 25). Multivariable analysis showed that mechanical ventilation duration was an independent risk factor for frailty/death at 6 months (per day of mechanical ventilation, odds ratio [OR] = 1.11; 95% confidence interval [CI] 1.04–1.19, p = 0.002). When excluding patients who died, mechanical ventilation duration remained the sole risk factor for frailty at 6 months (OR = 1.19; 95% CI 1.07–1.33, p = 0.001).

Conclusion

Mechanical ventilation duration was the sole predictive factor of frailty and death or only frailty 6 months after ICU hospitalization in initially non-frail patients.

Trauma Providers' Perceptions of Frailty Assessment: A Mixed-Methods Analysis of Knowledge, Attitudes, and Beliefs

OBJECTIVES

Quality improvement in geriatric trauma depends on timely identification of frailty, yet little is known about providers' knowledge and beliefs about frailty assessment. This study sought to understand trauma providers' understanding, beliefs, and practices for frailty assessment.

METHODS

We developed a 20-question survey using the Health Belief Model of health behavior and surveyed physicians, advanced practice providers, and trainees on the trauma services at a single institution that does not use formal frailty screening of all injured seniors. Results were analyzed via mixed methods.

RESULTS

One hundred fifty-one providers completed the survey (response rate 92%). Respondents commonly included calendar age as an integral factor in their determinations of frailty but also included a variety of other factors, highlighting limited definitional consensus. Respondents perceived frailty as important to older adult patient outcomes, but assessment techniques were varied because only 24/151 respondents (16%) were familiar with current formal frailty assessment tools. Perceived barriers to performing a formal frailty screening on all injured older adults included the burdensome nature of assessment tools, insufficient training, and lack of time. When prompted for solutions, 20% of respondents recommended automation of the screening process by trained, dedicated team members.

CONCLUSIONS

Providers seem to recognize the impact that a diagnosis of frailty has on outcomes, but most lack a working knowledge of how to assess for frailty syndrome. Some providers recommended screening by designated, formally trained personnel who could notify decision makers of a positive screen result.

Frailty, Acute Organ Dysfunction, and Increased Disability After Hospitalization in Older Adults Who Survive Critical Illness: A Prospective Cohort Study

PURPOSE

We aimed to describe the association between prehospital frailty (PHF), acute organ dysfunction (AOD), and posthospital disability (PHD) outcome in older adults admitted to the intensive care unit (ICU).

METHODS

In a prospective observational cohort study, we assessed PHF using the Clinical Frailty Scale (CFS) and assessed the level of AOD using Sequential Organ Failure Assessment (SOFA) scores on ICU day 1. We assessed Activities of Daily Living disability levels through to 6 months after discharge and used generalized estimating equations (log link and negative binomial family) to determine the independent association of PHF and AOD with PHD.

RESULTS

Of the 302 patients enrolled, 221 (73.1%) survived the hospitalization. Prehospital frailty was associated with PHD (adjusted incident rate ratio [aIRR] 95% confidence interval [95% CI] per unit increase in CFS 1.38 [1.15-1.67], P = .001). Total day 1 SOFA score was weakly associated with PHD, (aIRR [95% CI] 1.05 [1.00-1.10], P = .037) while day 1 SOFA neurologic score was strongly associated with PHD (aIRR [95% CI] 1.42 [1.24-1.62] per unit increase in SOFA neurologic score, P < .001), and these effects were independent of PHF and other premorbid factors.

CONCLUSIONS

Both PHF and early acute brain dysfunction are important factors associated with increasing PHD in older adults who survive critical illness.

Impacts of Financial Coverage on Long-Term Outcome of Intensive Care Unit Survivors in South Korea

PURPOSE

The objective of this study was to investigate whether financial coverage by the national insurance system for patients with lower economic conditions can improve their 1-year mortality after intensive care unit (ICU) discharge.

MATERIALS AND METHODS

This study, conducted in a single tertiary hospital, used a retrospective cohort design to investigate discharged ICU survivors between January 2012 and December 2016. ICU survivors were classified into two groups according to the National Health Insurance (NHI) system in Korea: medical aid program (MAP) group, including people who have difficulty paying their insurance premium or receive medical aid from the government due to a poor economic status; and NHI group consisting of people who receive government subsidy for approximately 2/3 of their medical expenses.

RESULTS

After propensity score (PS) matching, a total of 2495 ICU survivors (1859 in NHI group and 636 in MAP group) were included in the analysis. Stratified Cox regression analysis of PS-matched cohorts showed that 1-year mortality was 1.31-fold higher in MAP group than in NHI group (hazard ratio: 1.31, 95% confidence interval, 1.06 to 1.61; p=0.012). According to Kaplan-Meir estimation, MAP group also showed significantly poorer survival probability than NHI group after PS matching (p=0.011).

CONCLUSION

This study showed that 1-year mortality was higher in ICU survivors with low economic status, even if financial coverage was provided by the government. Our result suggests the necessity of a more nuanced and multifaceted approach to policy for ICU survivors with low economic status.

Acute Kidney Injury and Subsequent Frailty Status in Survivors of Critical Illness: A Secondary Analysis

OBJECTIVES

Acute kidney injury frequently complicates critical illness and is associated with high morbidity and mortality. Frailty is common in critical illness survivors, but little is known about the impact of acute kidney injury. We examined the association of acute kidney injury and frailty within a year of hospital discharge in survivors of critical illness.

DESIGN

Secondary analysis of a prospective cohort study.

SETTING

Medical/surgical ICU of a U.S. tertiary care medical center.

PATIENTS

Three hundred seventeen participants with respiratory failure and/or shock.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Acute kidney injury was determined using Kidney Disease Improving Global Outcomes stages. Clinical frailty status was determined using the Clinical Frailty Scale at 3 and 12 months following discharge. Covariates included mean ICU Sequential Organ Failure Assessment score and Acute Physiology and Chronic Health Evaluation II score as well as baseline comorbidity (i.e., Charlson Comorbidity Index), kidney function, and Clinical Frailty Scale score. Of 317 patients, 243 (77%) had acute kidney injury and one in four patients with acute kidney injury was frail at baseline. In adjusted models, acute kidney injury stages 1, 2, and 3 were associated with higher frailty scores at 3 months (odds ratio, 1.92; 95% CI, 1.14-3.24; odds ratio, 2.40; 95% CI, 1.31-4.42; and odds ratio, 4.41; 95% CI, 2.20-8.82, respectively). At 12 months, a similar association of acute kidney injury stages 1, 2, and 3 and higher Clinical Frailty Scale score was noted (odds ratio, 1.87; 95% CI, 1.11-3.14; odds ratio, 1.81; 95% CI, 0.94-3.48; and odds ratio, 2.76; 95% CI, 1.34-5.66, respectively). In supplemental and sensitivity analyses, analogous patterns of association were observed.

CONCLUSIONS

Acute kidney injury in survivors of critical illness predicted worse frailty status 3 and 12 months postdischarge. These findings have important implications on clinical decision making among acute kidney injury survivors and underscore the need to understand the drivers of frailty to improve patient-centered outcomes.

The Critical Care Society of Southern Africa Consensus Statement on ICU Triage and Rationing (ConICTri)

Background

In South Africa (SA), intensive care is faced with the challenge of resource scarcity as well as an increasing demand for intensive care unit (ICU) services. ICU services are expensive, and practitioners in low- to middle-income countries experience daily the consequences of limited resources. Critically limited resources necessitate that rationing and triage (prioritisation) decisions are frequently necessary in SA, particularly in the publicly funded health sector.

Purpose

The purpose of this consensus statement is to examine key questions that arise when considering the status of ICU resources in SA, and more specifically ICU admission, rationing and triage decisions. The accompanying guideline in this issue is intended to guide frontline triage policy and ensure the best utilisation of intensive care in SA, while maintaining a fair distribution of available resources. Fair and efficient triage is important to ensure the ongoing provision of high-quality care to adult patients referred for intensive care.

Recommendations

In response to 14 key questions developed using a modified Delphi technique, 29 recommendations were formulated and graded using an adapted GRADE score. The 14 key questions addressed the status of the provision of ICU services in SA, the degree of resource restriction, the efficiency of resource management, the need for triage, and how triage could be most justly implemented. Important recommendations included the need to formally recognise and accurately quantify the provision of ICU services in SA by national audit; actively seek additional resources from governmental bodies; consider methods to maximise the efficiency of ICU care; evaluate lower level of care alternatives; develop a triage guideline to assist policy-makers and frontline practitioners to implement triage decisions in an efficient and fair way; measure and audit the consequence of triage; and promote research to improve the accuracy and consistency of triage decisions. The consensus document and guideline should be reviewed and revised appropriately within 5 years.

Conclusion

In recognition of the absolute need to limit patient access to ICU because of the lack of sufficient intensive care resources in public hospitals, recommendations and a guideline have been developed to guide policy-making and assist frontline triage decision-making in SA. These documents are not a complete plan for quality practice but rather the beginning of a long-term initiative to engage clinicians, the public and administrators in appropriate triage decision-making, and promote systems that will ultimately maximise the efficient and fair use of available ICU resources.

Perceptions and expectations of health-related quality of life among geriatric patients seeking emergency care: a qualitative study

Background

Health-related quality of life (HRQoL), encompassing social, emotional, and physical wellbeing is an important clinical outcome of medical care, especially among geriatric patients. It is unclear which domains of HRQoL are most important to geriatric patients and which domains they hope to address when using the Emergency Department (ED). The objective of this study was to understand which aspects of HRQoL are most valued by geriatric patients in the ED and what expectations patients have for addressing or improving HRQoL during an ED visit.

Methods

This was a qualitative focus group study of geriatric ED patients from an urban, academic ED in the United States with > 16,500 annual geriatric visits. Patients were eligible if they were age > =65 years and discharged from the ED within 45 days of recruitment. Semi-structured pilot interviews and focus groups were conducted several weeks after the ED visit. Participants shared their ED experiences and to discuss their perceptions of the subsequent impact on their quality of life, focusing on the domains of physical, mental, and social health. Latent content and constant comparative methods were used to code focus group transcripts and analyze for emergent themes.

Results

Three individuals participated in pilot interviews and 31 participated in six focus groups. Twelve codes across five main themes relating to HRQoL were identified. Patients recalled: (1) A strong desire to regain physical function, and (2) anxiety elicited by the emotional experience of seeking care in the emergency department, due to uncertainty in diagnosis, treatment, and prognosis. In addition, patients noted both (3) interpersonal impacts of health on quality of life, primarily mediated primarily by social interaction, and (4) an individual experience of health and quality of life mediated primarily by mental health. Finally, (5) patients questioned if the ED was the right place to attempt to address HRQoL.

Conclusions

Patients expressed anxiety around the time of their ED visit related to uncertainty, they desired functional recovery, and identified both interpersonal effects of health on quality of life mediated by social health, and an individual experience of health and quality of life mediated by mental health.

Frailty in Patients With Trauma Who Are Critically Ill: A Prospective Observational Study to Determine Feasibility, Concordance, and Construct and Predictive Validity of 2 Frailty Measures

BACKGROUND

As the older population increases, more older people are exposed to trauma. Frailty can be used to highlight patients at risk of a poorer outcome.

OBJECTIVE

The objectives of this study were to compare 2 frailty measures with regard to concordance, floor and ceiling effects, and construct and predictive validity and to determine which is more valid and clinically applicable in a critically ill trauma population.

DESIGN

This was a prospective observational study.

METHODS

Patients were included if admitted to an intensive care unit (ICU) under a trauma medical unit and ≥ 50 years old. Frailty was determined using 2 frailty measures, the Frailty Phenotype (FP) and Clinical Frailty Scale (CFS).

RESULTS

One hundred people were enrolled; their mean age was 69.2 years (SD = 10.4) and 81% had major trauma (as determined with the Injury Severity Score). Frailty was identified with the FP in 22 participants and with the CFS in 13 participants. The 2 frailty measures had an excellent correlation (Spearman rank correlation coefficient = 0.77; 95% confidence interval = 0.66-0.85). Both the FP and the CFS had large floor effects but no ceiling effects. The FP and CFS showed construct validity, with frailty being significantly associated with increasing age, requiring an aid to mobilize, and more falls and hospital admissions. Frailty on the FP was predictive of ICU and hospital mortality, whereas frailty on the CFS was predictive of hospital mortality.

LIMITATIONS

The limitations of this study include the use of a single site, small sample size, and collection of frailty measures retrospectively.

CONCLUSIONS

Measuring frailty in a trauma ICU population was feasible, with excellent correlation between the 2 frailty measures. Both showed aspects of construct and predictive validity; however, the FP identified frailty in more participants and was associated with more comorbidities and higher mortality at ICU discharge. Therefore, the FP might be more clinically relevant in this population.

Retrospective frailty determination in critical illness from a review of the intensive care unit clinical record

Frailty is one of the major challenges for intensive care, affecting one-third of intensive care unit patients and being associated with a range of poor health outcomes. Determination of frailty in critical illness using the Clinical Frailty Scale has recently been adopted by the Australian and New Zealand Intensive Care Society, but it is not known whether this is able to be measured from the clinical record without interviewing patients or their relatives. The aims of this retrospective cohort study were to test whether a Clinical Frailty Scale score could be assigned in an intensive care unit population from the clinical record, and to assess the inter-rater reliability of frailty measured in this manner. A total of 144 patients were enrolled. Of these, 137 (95%) were able to have a Clinical Frailty Scale score assigned, and 22 (15%) were scored as frail (Clinical Frailty Scale ≥5). Cohen’s kappa coefficient for inter-rater reliability between assessors was 0.67, confirming substantial agreement. Consistent with other critically ill cohorts, frailty was associated on multivariate analysis with age, Charlson comorbidity score, dependence with activities of daily living, and limitation of medical treatment, indicating validity of this approach to frailty measurement. Our results imply that frailty measurement is possible and feasible from the intensive care unit clinical record, which is of importance as routine measurement and reporting of frailty in intensive care units in our region increases. Future work should seek to validate an assigned Clinical Frailty Scale score with that obtained directly from patients or their next of kin.

Loss of Community-Dwelling Status Among Survivors of High-Acuity Emergency General Surgery Disease

OBJECTIVES

To examine loss of community-dwelling status 9 months after hospitalization for high-acuity emergency general surgery (HA-EGS) disease among older Americans.

DESIGN

Retrospective analysis of claims data.

SETTING

US communities with Medicare beneficiaries.

PARTICIPANTS

Medicare beneficiaries age 65 years or older hospitalized urgently/emergently between January 1, 2015, and March 31, 2015, with a principal diagnosis representing potential life or organ threat (necrotizing soft tissue infections, hernias with gangrene, ischemic enteritis, perforated viscus, toxic colitis or gastroenteritis, peritonitis, intra-abdominal hemorrhage) and an operation of interest on hospital days 1 or 2 (N = 3319).

MEASUREMENTS

Demographic characteristics (age, race, and sex), comorbidities, principal diagnosis, complications, and index hospitalization disposition (died; discharged to skilled nursing facility [SNF], long-term acute care [LTAC], rehabilitation, hospice, home (with or without services), or acute care hospital; other) were measured. Survivors of index hospitalization were followed until December 31, 2015, on mortality and community-dwelling status (SNF/LTAC vs not). Descriptive statistics, Kaplan-Meier plots, and χ² tests were used to describe and compare the cohort based on disposition. A multivariable logistic regression model, adjusted for age, sex, comorbidities, complications, and discharge disposition, determined independent predictors of loss of community-dwelling status at 9 months.

RESULTS

A total of 2922 (88%) survived index hospitalization. Likelihood of discharge to home decreased with increasing age, baseline comorbidities, and in-hospital complications. Overall, 418 (14.3%) HA-EGS survivors died during the follow-up period. Among those alive at 9 months, 10.3% were no longer community dwelling. Initial discharge disposition to any location other than home and three or more surgical complications during index hospitalization were independent predictors of residing in a SNF/LTAC 9 months after surviving HA-EGS.

CONCLUSION

Older Americans, known to prioritize living in the community, will experience substantial loss of independence due to HA-EGS. Long-term expectations after surviving HA-EGS must be framed from the perspective of the outcomes that older patients value the most. Further research is needed to examine the quality-of-life burden of EGS survivorship prospectively. J Am Geriatr Soc 67:2289-2297, 2019.