Analysis of Rockwood et Al's Clinical Frailty Scale and Fried et Al's Frailty Phenotype as Predictors of Mortality and Other Clinical Outcomes in Older Patients Who Were Admitted to a Geriatric Ward

Emergency laparotomy in older adults with geriatric medicine input implications of demographics, frailty and comorbidities on outcomes

BACKGROUND

We (1) describe West Australian (WA) older adults undergoing emergency laparotomy (EL) in a tertiary-centre Acute Surgical Unit (ASU) with proactive geriatrician input and (2) explore the impact of Clinical Frailty Scale (CFS) and Charlson's Comorbidity Index (CCI) on patient outcomes.

METHODS

We performed a prospective cohort-study of older adults undergoing EL, between April 2021 and April 2022, in a tertiary ASU, with dedicated geriatrician-led perioperative care via the Older Adult Surgical Inpatient Service (OASIS).

RESULTS

Of 114 patients, average age was 76.7 ± 7.61 years-old (range 65-96), with 35.1% (n = 40) frail (CFS 5-7), 18.4% (n = 21) vulnerable (CFS 4) and 46.5% (n = 74) not frail (CFS 1-3). 61.4% (n = 70) were severely comorbid (CCI ≥5), 34.2% (n = 39) moderately comorbid (CCI 3-4), and 4.4% (n = 5) mildly comorbid (CCI 1-2). 95.9% (n = 109) EL patients were reviewed by OASIS. Inpatient mortality was 7.9% (n = 9) and 1-year mortality 16.7% (n = 19). Majority, 64.9% (n = 74), were discharged directly home with 17.5% (n = 20) discharged with in-home rehabilitation. Each increment in CCI was associated with increased in-hospital (HR 1.38, p = 0.034) and 1-year (HR 1.39, p = 0.006) mortality, and each increment in CFS with 1-year mortality (HR 1.62, p = 0.016). Higher CFS but not CCI was associated with increased level of care at discharge. Age was not statistically significant with any outcomes.

CONCLUSION

We describe demographics, frailty and comorbidity of 114 older adults undergoing EL in ASU. We suggest CFS and CCI as independent risk-stratification tools, and proactive management of both comorbidity, and frailty, should be incorporated into preoperative optimisation.

Factors associated with delirium in a real-world acute-care setting: analysis considering the interdependence of clinical variables with the frailty syndrome

PURPOSE

Delirium risk assessment in the acute-care setting generally does not account for frailty. The objective of this retrospective study was to identify factors associated with delirium, considering the interdependency of clinical variables with frailty syndrome in complex older patients.

METHODS

The clinical records of 587 participants (248 M, median age 84) were reviewed, collecting clinical, anamnestic and pharmacological data. Frailty syndrome was assessed with the Clinical Frailty Scale (CFS). Delirium was the main study endpoint. The correlations of the considered anamnestic and clinical variables with delirium and its subtypes were investigated selecting only those variables not showing a high overlap with frailty. Correlations associated with a 25% excess of frequency of delirium in comparison with the average of the population were considered as statistically significant.

RESULTS

Delirium was detected in 117 (20%) participants. The presence of one among age > 85 years old, CFS > 4 and invasive devices explained 95% of delirium cases. The main factors maximizing delirium incidence at the individual level were dementia, other psychiatric illness, chronic antipsychotic treatment, and invasive devices. The coexistence of three of these parameters was associated with a peak frequency of delirium, ranging from 57 to 61%, mostly hypoactive forms.

CONCLUSIONS

In acute-care wards, frailty exhibited a strong association with delirium during hospitalization, while at the individual level, dementia and the use of antipsychotics remained important risk factors. Modern clinical prediction tools for delirium should account for frailty syndrome.

Assessing frailty amongst older people admitted to hospital in a low-income setting: a multicentre study in northern Tanzania

BACKGROUND

Populations are ageing globally and Low- and Middle-Income Countries (LMICs) are experiencing the fastest rates of demographic change. Few studies have explored the burden of frailty amongst older people in hospital in LMICs, where healthcare services are having to rapidly adapt to align with the needs of older people. This study aimed to measure the prevalence of frailty amongst older people admitted to hospital in Tanzania and to explore their demographic and clinical characteristics.

METHODS

This study had a prospective observational design. Over a six-month period, all adults ≥ 60 years old admitted to medical wards in four hospitals in northern Tanzania were invited to participate. They were screened for frailty using the Clinical Frailty Scale (CFS) and the Frailty Phenotype (FP). Demographic and clinical characteristics of interest were recorded in a structured questionnaire. These included the Barthel Index, the Identification of Elderly Africans Instrumental Activities of Daily Living (IADEA-IADL) and Cognitive (IDEA-Cog) screens, the EURO-D depression scale and Confusion Assessment Method.

RESULTS

540 adults aged ≥ 60 were admitted, and 308 completed assessment. Frailty was present in 66.6% using the CFS and participants with frailty were significantly older, with lower levels of education and literacy, greater disability, greater comorbidity, poorer cognition and higher levels of delirium. Using the FP, 57.0% of participants were classed as frail though a majority of participants (n = 159, 51.6%) could not be classified due to a high proportion of missing data.

CONCLUSIONS

This study indicates that the prevalence of frailty on medical wards in northern Tanzania is high according to the CFS. However, the challenges in operationalising the FP in this setting highlight the need for future work to adapt frailty screening tools for an African context. Future investigations should also seek to correlate frailty status with long-term clinical outcomes after admission in this setting.

The importance of a comprehensive geriatric assessment for older people admitted onto a virtual ward

A comprehensive geriatric assessment (CGA) provides a holistic assessment for the frail and older person. The CGA considers physical and mental conditions as well as function, environmental and a person's social circumstances. Virtual wards are a new concept within the NHS, and use of virtual wards during the COVID-19 pandemic reduced hospital admissions by 50%. The British Geriatrics Society has set clear guidelines on how virtual wards should be developed within integrated care services via multidisciplinary community rapid response teams to improve patient outcomes. This article considers a logical approach to assessing suitability for admission onto a virtual ward for a patient who required hospital-at-home services. It does this through the use of a theoretical patient case study, in this case involving delirium and urinary tract infection. Frailty and frailty scoring tools are discussed, as are the advantages and disadvantages of a CGA, considering a clear progression through the five domains. It shows how conducting a CGA allows for the development of a problem list to help prioritise the patient's problems and plan accordingly. A critical review of the literature around virtual wards, hospital-at-home services and admission avoidance identified that community rapid response teams were the logical choice to provide a multidisciplinary holistic approach to the older person admitted onto a virtual ward.

Frailty predicts mortality in patients with upper gastrointestinal bleed: a prospective cohort study

BACKGROUND AND AIM

Evidence on the impact of frailty in patients with upper gastrointestinal bleed (UGIB) is limited. This study aims to define the role of frailty as defined by Canadian Study of Health and Aging clinical frailty scale (CSHA-CFS) in predicting mortality in UGIB.

METHODS

A prospective single-center cohort study was conducted over 21 months on all consecutive patients with UGIB. Data on demographics, lab parameters, Glasgow Blatchford score, CSHA-CFS, Charlson Comorbidity Index, and AIMS65 score was recorded. The primary outcome was all-cause inpatient mortality. The secondary outcomes were all-cause 30-day mortality, 30-day rebleeding, 30-day readmission, hospital length of stay (LoS), intensive care unit (ICU) admission, need for repeat endoscopy, and need for blood transfusion. The data were evaluated using univariate and multivariate analysis.

RESULTS

There were 298 eligible patients, of which 63% were males, median age was 68 years, 44% were from non-English-speaking background, and 72% had major comorbidities. The all-cause inpatient and 30-day mortality were 9.4% and 10.7%, respectively. In the multivariate analysis, CHSA-CFS was the independent predictor of all-cause inpatient mortality (OR 1.66; 95% CI 1.13-2.143; P = 0.010) and all-cause 30-day mortality (OR 1.83; 95% CI 1.26-2.67; P = 0.002). CHSA-CFS was not a significant predictor of 30-day rebleed, 30-day readmission, ICU admission, hospital LoS, or need for blood transfusion.

CONCLUSION

Frailty is an important independent predictor of mortality in patients with UGIB. Frailty assessment can guide clinical decision making and allow targeting of health-care resource (Australia/New Zealand Clinical Trial Registry number: ACTRN12622000821796).

Left Ventricular Assist Device as a Destination Therapy: Current Situation and the Importance of Patient Selection

Advanced heart failure is a growing problem for which the best treatment is cardiac transplantation. However, the shortage of donors' hearts made left ventricular assist devices as destination therapy (DT-LVAD) a highly recommended alternative: they improved mid-term prognosis as well as patients' quality of life. Current intracorporeal pumps with a centrifugal continuous flow evolved in the last few years. Since 2003, when first LVAD was approved for long-term support, smaller device sizes with better survival and hemocompatibility profile were reached. The most important difficulty lies in the moment of the implant. Recent indications range from INTERMACS class 2 to 4, with close monitoring in intermediate cases. Moreover, a large multiparametric study is needed for considering the candidacy: basal situation, with a special interest in frailty, comorbidities, including renal and hepatic dysfunction, and medical background, considering every prior cardiac condition, must be evaluated. In addition, some clinical risk scores can be helpful to measure the possibility of right heart failure or morbi-mortality. With this review, we sought to summarize all the device improvements, with their updated clinical results, as well as to focus on all the patient selection criteria.

Validation of GLIM criteria on malnutrition in older Chinese inpatients

Objective

Malnutrition is a nutritional disorder and common syndrome that has a high incidence and is easily ignored in hospitalized older patients. It can lead to multiple poor prognoses, such as frailty. Early identification and correct evaluation of possible malnutrition and frailty are essential to improve clinical outcomes in older patients. Therefore, our objective was to explore the applicability and effectiveness of the Global Leadership Initiative on Malnutrition (GLIM) criteria for identifying malnutrition in older patients.

Methods

In total, 223 participants aged ≥60 years were involved. Nutrition was evaluated using the Mini Nutritional Assessment-Full Form (MNA-FF) and GLIM criteria, which adopt a two-step procedure. The first step was to use three different methods for the screening of nutritional risk: the Nutrition Risk Screening 2002, the Mini Nutritional Assessment Short Form (MNA-SF), and the Malnutrition Universal Screening Tool. The second step was to link a combination of at least one phenotypical criterion and one etiological criterion to diagnose malnutrition. The Clinical Frailty Scale was used to assess frailty. Sensitivity, specificity, Youden index, kappa values, and positive and negative predictive values were used to evaluate the validity of the GLIM criteria. Logistic regression models were used to assess whether there was a correlation between malnutrition, as defined by the GLIM criteria, and frailty.

Results

We found that 32.3–49.8% of our patient sample were at risk of malnutrition based on the GLIM diagnosis and using the three different screening tools; 19.3–27.8% of the patients were malnourished. GLIM criteria with MNA-SF as a diagnostic validation and MNA-FF as a reference showed high consistency (K = 0.629; p < 0.001), sensitivity (90.5%), and specificity (86.4%). Logistic regression analysis showed that malnutrition, using MNA-SF with the GLIM criteria, was relevant for a higher likelihood of frailty (OR = 1.887; 95% CI 1.184–2.589).

Conclusions

The incidence of GLIM-defined malnutrition was 19.3–27.8% using different screening tools. The consistency between the GLIM criteria using the MNA-SF and the MNA methods was high. Malnutrition, as diagnosed by the GLIM criteria with MNA-SF, was significantly correlated with frailty. GLIM criteria with MNA-SF may be a more reliable malnutrition assessment process in older inpatients.

The Clinical Frailty Scale (CFS) employment in the frailty assessment of patients suffering from Non-Communicable Diseases (NCDs): A systematic review

Background

The Clinical Frailty Scale (CFS) is a well-established tool that has been widely employed to assess patients' frailty status and to predict clinical outcomes in the acute phase of a disease, but more information is needed to define the implications that this tool have when dealing with Non-Communicable Diseases (NCDs).

Methods

An electronic literature search was performed on PubMed, Scopus, EMBASE, Web of Science, and EBSCO databases to identify studies employing the CFS to assess frailty in patients with NCDs.

Findings

After database searching, article suitability evaluation, and studies' quality assessment, 43 studies were included in the systematic review. Researches were conducted mostly in Japan (37.5%), and half of the studies were focused on cardiovascular diseases (46.42%), followed by cancer (25.00%), and diabetes (10.71%). Simplicity (39.29%), efficacy (37.5%), and rapidity (16.07%) were the CFS characteristics mostly appreciated by the authors of the studies. The CFS-related results indicated that its scores were associated with patients' clinical outcomes (33.92%), with the presence of the disease (12.5%) and, with clinical decision making (10.71%). Furthermore, CFS resulted as a predictor of life expectancy in 23 studies (41.07%), clinical outcomes in 12 studies (21.43%), and hospital admissions/readmissions in 6 studies (10.71%).

Discussion

CFS was found to be a well-established and useful tool to assess frailty in NCDs, too. It resulted to be related to the most important disease-related clinical characteristics and, thus, it should be always considered as an important step in the multidisciplinary evaluation of frail and chronic patients.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO/display_record.asp? PROSPERO 2021, ID: CRD42021224214.

The prevalence of frailty and pre-frailty among geriatric hospital inpatients and its association with economic prosperity and healthcare expenditure: A systematic review and meta-analysis of 467,779 geriatric hospital inpatients

BACKGROUND

Frailty is a common and clinically significant condition among geriatric populations. Although well-evidenced pooled estimates of the prevalence of frailty exist within various settings and populations, presently there are none assessing the overall prevalence of frailty among geriatric hospital inpatients. The purpose of this review was to systematically search and analyse the prevalence of frailty among geriatric hospital inpatients within the literature and examine its associations with national economic indicators.

METHODS

Systematic searches were conducted on Ovid, Web of Science, Scopus, CINAHL Plus, and the Cochrane Library, encompassing all literature published prior to 22 November 2018, supplemented with manual reference searches. Included studies utilised a validated operational definition of frailty, reported the prevalence of frailty, had a minimum age ≥ 65 years, attempted to assess the whole ward/clinical population, and occurred among hospital inpatients. Two reviewers independently extracted data and assessed study quality.

RESULTS

Ninety-six studies with a pooled sample of 467,779 geriatric hospital inpatients were included. The median critical appraisal score was 8/9 (range 7-9). The pooled prevalence of frailty, and pre-frailty, among geriatric hospital inpatients was 47.4% (95% CI 43.7-51.1%), and 25.8% (95% CI 22.0-29.6%), respectively. Significant differences were observed in the prevalence of frailty stratified by age, prevalent morbidity, ward type, clinical population, and operational definition. No significant differences were observed in stratified analyses by sex or continent, or significant associations between the prevalence of frailty and economic indicators.

CONCLUSIONS

Frailty is highly prevalent among geriatric hospital inpatients. High heterogeneity exists within this setting based on various clinical and demographic characteristics. Pooled estimates reported in this review place the prevalence of frailty among geriatric hospital inpatients between that reported for community-dwelling older adults and older adults in nursing homes, outlining an increase in the relative prevalence of frailty with progression through the healthcare system.

Preoperative Point-of-Care Ultrasound to Identify Frailty and Predict Postoperative Outcomes: A Diagnostic Accuracy Study

BACKGROUND

Frailty is increasingly being recognized as a public health issue, straining healthcare resources and increasing costs to care for these patients. Frailty is the decline in physical and cognitive reserves leading to increased vulnerability to stressors such as surgery or disease states. The goal of this pilot diagnostic accuracy study was to identify whether point-of-care ultrasound measurements of the quadriceps and rectus femoris muscles can be used to discriminate between frail and not-frail patients and predict postoperative outcomes. This study hypothesized that ultrasound could discriminate between frail and not-frail patients before surgery.

METHODS

Preoperative ultrasound measurements of the quadriceps and rectus femoris were obtained in patients with previous computed tomography scans. Using the computed tomography scans, psoas muscle area was measured in all patients for comparative purposes. Frailty was identified using the Fried phenotype assessment. Postoperative outcomes included unplanned intensive care unit admission, delirium, intensive care unit length of stay, hospital length of stay, unplanned skilled nursing facility admission, rehospitalization, falls within 30 days, and all-cause 30-day and 1-yr mortality.

RESULTS

A total of 32 patients and 20 healthy volunteers were included. Frailty was identified in 18 of the 32 patients. Receiver operating characteristic curve analysis showed that quadriceps depth and psoas muscle area are able to identify frailty (area under the curve-receiver operating characteristic, 0.80 [95% CI, 0.64 to 0.97] and 0.88 [95% CI, 0.76 to 1.00], respectively), whereas the cross-sectional area of the rectus femoris is less promising (area under the curve-receiver operating characteristic, 0.70 [95% CI, 0.49 to 0.91]). Quadriceps depth was also associated with unplanned postoperative skilled nursing facility discharge disposition (area under the curve 0.81 [95% CI, 0.61 to 1.00]) and delirium (area under the curve 0.89 [95% CI, 0.77 to 1.00]).

CONCLUSIONS

Similar to computed tomography measurements of psoas muscle area, preoperative ultrasound measurements of quadriceps depth shows promise in discriminating between frail and not-frail patients before surgery. It was also associated with skilled nursing facility admission and postoperative delirium.

EDITOR’S PERSPECTIVE

Association of SARC-F Score and Rockwood Clinical Frailty Scale with CT-Derived Muscle Mass in Patients with Aortic Aneurysms

OBJECTIVES

Patients with aortic aneurysms (AA) are often co-morbid and susceptible to frailty. Low core muscle mass has been used as a surrogate marker of sarcopenia and indicator of frailty. This study aimed to assess association between core muscle mass with sarcopenia screening tool SARC-F and Clinical Frailty Scale (CFS) in patients with AA.

METHODS

Prospective audit of patients in pre-operative aortic clinic between 01/07/2019-31/01/2020 including frailty assessment using Rockwood CFS and sarcopenia screening using SARC-F questionnaire. Psoas and sartorius muscle area were measured on pre-operative CT scans and adjusted for height. Association was assessed using Spearman's rank correlation coefficient.

RESULTS

Of 84 patients assessed, median age was 75 years [72,82], 84.5% were men, 65.5% were multimorbid and 63.1% had polypharmacy. Nineteen percent were identified as frail (CFS score >3) and 6.1% positively screened for sarcopenia (SARC-F score 4 or more). Median psoas area (PMA) at L3 was 5.6cm2/m2 [4.8,6.6] and L4 was 7.4cm2/m2 [6.3,8.6]. Median sartorius area (SMA) was 1.8 cm2/m2 [1.5,2.2]. CFS demonstrated weak but statistically significant negative correlation with height-adjusted PMA at L3 (r=-0.25, p=0.034) but not at L4 (r=-0.23, p=0.051) or with SMA (r=-0.22, p=0.065). No association was observed between SARC-F score and PMA or SMA (L3 PMA r=-0.015, p=0.9; L4 PMA r=-0.0014, p= 0.99; SMA r=-0.051, p=0.67).

CONCLUSION

CFS showed higher association with CT-derived muscle mass than SARC-F. Comprehensive pre-operative risk-stratification tools which incorporate frailty assessment and body composition analysis may assist in decision making for surgery and allow opportunity for pre-habilitation.

Comparison of two different frailty scales in the longitudinal Swedish Adoption/Twin Study of Aging (SATSA)

AIMS

Although up to 25% of older adults are frail, assessing frailty can be difficult, especially in registry data. This study evaluated the utility of a code-based frailty score in registry data by comparing it to a gold-standard frailty score to understand how frailty can be quantified in population data and perhaps better addressed in healthcare.

METHODS

We compared the Hospital Frailty Risk Score (HFRS), a frailty measure based on 109 ICD codes, to a modified version of the Frailty Index (FI) Frailty Index (FI), a self-report frailty measure, and their associations with all-cause mortality both cross-sectionally and longitudinally (follow-up = 36 years) in a Swedish cohort study (n = 1368).

RESULTS

The FI and HFRS were weakly correlated (rho = 0.11, p < 0.001). Twenty-two percent (n = 297) of participants were considered frail based on published cut-offs of either measure. Only 3% (n = 35) of participants were classified as frail by both measures; 4% (n = 60) of participants were considered frail by only the HFRS; and 15% (n = 202) of participants were considered frail based only on the FI. Frailty as measured by the HFRS showed greater variance and no clear increase or decrease with age, while frailty as measured by the FI increased steadily with age. In adjusted Cox proportional hazard models, baseline HFRS frailty (HR = 1.17, 95% CI 0.92, 1.49) was not statistically significantly associated with mortality, while FI frailty was (HR = 2.89, 95% CI 1.61, 2.23). These associations were modified by age and sex.

CONCLUSIONS

The HFRS may not capture the full spectrum of frailty among community-dwelling individuals, particularly at younger ages, in Swedish registry data.

Higher Admission Frailty Scores Predict Increased Mortality, Morbidity, and Healthcare Utilization in the Elderly Burn Population

The Rockwood Clinical Frailty Scale is a validated rapid assessment of frailty phenotype and predictor of mortality in the geriatric population. Using data from a large tertiary care burn center, we assessed the association between admission frailty in an elderly burn population and inpatient outcomes. This was a retrospective analysis of burn patients ≥ 65 years from 2015-2019. Patients were assigned to frailty subgroups based on comprehensive medical, social work, and therapy assessments. Cox proportional hazards regression was used to estimate associations between admission frailty and 30-day inpatient mortality. Our study included 644 patients (low frailty: 262, moderate frailty: 345, and high frailty: 37). Frailty was associated with higher median TBSA and age at admission. The 30-day cumulative incidence of mortality was 2.3%, 7.0%, and 24.3% among the low, moderate, and high frailty strata, respectively. After adjustment for age, TBSA, and inhalation injury, high frailty was associated with increased 30-day mortality, compared to low (HR 5.73; 95% CI 1.86, 17.62). Moderate frailty also appeared to increase 30-day mortality, although estimates were imprecise (HR 2.19; 95% CI 0.87-5.50). High frailty was associated with increased morbidity and healthcare utilization, including need for intensive care stay (68% vs 37% and 21%, p<0.001) and rehab or care facility at discharge (41% vs 25% and 6%, p<0.001), compared to moderate and low frailty subgroups. Our findings emphasize the need to consider pre-injury physiological state and the increased risk of death and morbidity in the elderly burn population.

Frailty Scales for Prognosis Assessment of Older Adult Patients after Acute Myocardial Infarction

We aimed to compare the prognostic value of two different measures, the Fried's Frailty Scale (FFS) and the Clinical Frailty Scale (CFS), following myocardial infarction (MI). We included 150 patients ≥ 70 years admitted from AMI. Frailty was evaluated on the day before discharge. The primary endpoint was number of days alive and out of hospital (DAOH) during the first 800 days. Secondary endpoints were mortality and a composite of mortality and reinfarction. Frailty was diagnosed in 58% and 34% of patients using the FFS and CFS scales, respectively. During the first 800 days 34 deaths and 137 admissions occurred. The number of DAOH decreased significantly with increasing scores of both FFS (p < 0.001) and CFS (p = 0.049). In multivariate analysis, only the highest scores (FFS = 5, CFS ≥ 6) were independently associated with fewer DAOH. At a median follow-up of 946 days, frailty assessed both by FFS and CFS was independently associated with death and MI (HR = 2.70 95%CI = 1.32-5.51 p = 0.001; HR = 2.01 95%CI = 1.1-3.66 p = 0.023, respectively), whereas all-cause mortality was only associated with FFS (HR = 1.51 95%CI = 1.08-2.10 p = 0.015). Frailty by FFS or CFS is independently associated with shorter number DAOH post-MI. Likewise, frailty assessed by either scale is associated with a higher rate of death and reinfarction, whereas FFS outperforms CFS for mortality prediction.

The Clinical Frailty Scale predicts adverse outcome in older people admitted to a UK major trauma centre

BACKGROUND

Frailty assessment using the Clinical Frailty Scale (CFS) has been mandated for older people admitted to English major trauma centres (MTC) since April 2019. Little evidence is available as to CFS-associated outcomes in the trauma population.

OBJECTIVE

To investigate post-injury outcomes stratified by the CFS.

METHODS

A single centre prospective observational cohort study was undertaken. CFS was prospectively assigned to patients ≥ 65 years old admitted to the MTC over a 5-month period. Primary outcome was 30-day post-injury mortality. Secondary outcomes were length of hospital stay, complications and discharge level of care.

RESULTS

In 300 patients median age was 82; 146 (47%) were frail (CFS 5-9) and 28 (9.3%) severely frail (CFS 7-9). Frail patients had lower injury severity scores (median 9 vs 16) but greater 30-day mortality (CFS 5-6 odds ratio (OR) 5.68; P < 0.01; CFS 7-9 OR 10.38; P < 0.01). Frailty was associated with delirium (29.5% vs 17.5%; P = 0.02), but not complication rate (50.7% vs 41.6%; P = 0.20) or length of hospital stay (13 vs 11 days; P = 0.35). Mild to moderate frailty was associated with increased care level at discharge (OR 2.31; P < 0.01).

CONCLUSIONS

Frailty is an independent predictor of 30-day mortality, inpatient delirium and increased care level at discharge in older people experiencing trauma. CFS can therefore be used to identify those at risk of poor outcome who may benefit from comprehensive geriatric review, validating its inclusion in the 2019 best practice tariff for major trauma.

Beyond Chronological Age: Frailty and Multimorbidity Predict In-Hospital Mortality in Patients With Coronavirus Disease 2019

BACKGROUND

We evaluated whether frailty and multimorbidity predict in-hospital mortality in patients with COVID-19 beyond chronological age.

METHOD

A total of 165 patients admitted from March 8th to April 17th, 2020, with COVID-19 in an acute geriatric ward in Italy were included. Predisease frailty was assessed with the Clinical Frailty Scale (CFS). Multimorbidity was defined as the co-occurrence of ≥2 diseases in the same patient. The hazard ratio (HR) of in-hospital mortality as a function of CFS score and number of chronic diseases in the whole population and in those aged 70+ years were calculated.

RESULTS

Among the 165 patients, 112 were discharged, 11 were transferred to intensive care units, and 42 died. Patients who died were older (81.0 vs 65.2 years, p < .001), more frequently multimorbid (97.6 vs 52.8%; p < .001), and more likely frail (37.5 vs 4.1%; p < .001). Less than 2.0% of patients without multimorbidity and frailty, 28% of those with multimorbidity only, and 75% of those with both multimorbidity and frailty died. Each unitary increment in the CFS was associated with a higher risk of in-hospital death in the whole sample (HR = 1.3; 95% CI = 1.05-1.62) and in patients aged 70+ years (HR = 1.29; 95% CI = 1.04-1.62), whereas the number of chronic diseases was not significantly associated with higher risk of death. The CFS addition to age and sex increased mortality prediction by 9.4% in those aged 70+ years.

CONCLUSIONS

Frailty identifies patients with COVID-19 at risk of in-hospital death independently of age. Multimorbidity contributes to prognosis because of the very low probability of death in its absence.

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.

Association of medical futility with do-not-resuscitate (DNR) code status in hospitalised patients

Guidelines recommend a 'do-not-resuscitate' (DNR) code status for inpatients in which cardiopulmonary resuscitation (CPR) attempts are considered futile because of low probability of survival with good neurological outcome. We retrospectively assessed the prevalence of DNR code status and its association with presumed CPR futility defined by the Good Outcome Following Attempted Resuscitation score and the Clinical Frailty Scale in patients hospitalised in the Divisions of Internal Medicine and Traumatology/Orthopedics at the University Hospital of Basel between September 2018 and June 2019. The definition of presumed CPR futility was met in 467 (16.2%) of 2889 patients. 866 (30.0%) patients had a DNR code status. In a regression model adjusted for age, gender, main diagnosis, nationality, language and religion, presumed CPR futility was associated with a higher likelihood of a DNR code status (37.3% vs 7.1%, adjusted OR 2.99, 95% CI 2.31 to 3.88, p<0.001). In the subgroup of patients with presumed futile CPR, 144 of 467 (30.8%) had a full code status, which was independently associated with younger age, male gender, non-Christian religion and non-Swiss citizenship. We found a significant proportion of hospitalised patients to have a full code status despite the fact that CPR had to be considered futile according to an established definition. Whether these decisions were based on patient preferences or whether there was a lack of patient involvement in decision-making needs further investigation.

Preclinical models of frailty: Focus on interventions and their translational impact: A review

The concept of frailty refers to heterogeneity in the risk of adverse outcomes for people of the same age. It is traditionally thought of as the inability of the body to maintain homeostasis. It can help explain differences between chronological and biological age and can quantify healthspan in experimental studies. Although clinical studies have developed tools to quantify frailty over the past two decades, preclinical models of frailty have only recently been introduced. This review describes the notion of frailty and outlines two commonly used clinical approaches to quantify frailty: the frailty phenotype and the frailty index. Translation of these methodologies for use in animals is introduced and studies that use these models to evaluate interventions designed to attenuate or exacerbate frailty are discussed. These include studies involving manipulation of diet, implementation of exercise regimens and tests of pharmaceutical agents to exacerbate or attenuate frailty. Together, this body of work suggests that preclinical frailty assessment tools are a valuable new resource to quantify the impact of interventions on overall health. Future studies could deploy these models to evaluate new frailty therapies, test combinations of interventions and assess interventions to enhance the ability to resist stressors in the setting of ageing.

Frailty as a Prognostic Indicator in Intensive Care

BACKGROUND

The percentage of patients in intensive care who are 80 years old or older is continually increasing. Such patients already made up more than 20% of all patients in intensive care in Germany in the years 2007-2011. Meanwhile, effective treatments that support the organs of the body and keep severely ill patients alive are also being continually developed and refined. Frailty is a key prognostic parameter. The scientifically based assessment of frailty can be highly useful in intensive care medicine with regard to consented decision-making, individualized prognostication, treatment planning, and aftercare.

METHODS

Pertinent publications were retrieved by a selective search in the PubMed database. On the basis of the literature assessment, a variety of screening instruments were used to assess frailty and its significance for very old, critically ill patients in German intensive care units.

RESULTS

Only a small number of screening instruments are suitable for routine use in German intensive care units. The scores vary in diagnostic precision. The Clinical Frailty Scale (CFS) enables highly accurate prognostication; it considers the patient in relation to his or her social environment, and to the reference population. Categorization is achieved by means of pictograms that are supplemented with brief written descriptions. The CFS can be used prospectively and is easy to learn. Its interrater reliability is high (weighted Cohen's κ: 0.85 [0.84; 0.87]), and it has been validated for routine use in intensive care units in Germany.

CONCLUSION

None of the available scores enable perfect prognostication. In Germany, frailty in intensive-care patients is currently best assessed on a simple visual scale (CFS).

Caring for Frail Older Adults During COVID-19: Integrating Public Health Ethics into Clinical Practice

During the coronavirus disease 2019 (COVID‐19) pandemic, principles from both clinical and public health ethics cue clinicians and healthcare administrators to plan alternatives for frail older adults who prefer to avoid critical care, and for when critical care is not available due to crisis triaging. This article will explore the COVID‐19 Ethical Decision Making Framework, published in British Columbia (BC), Canada, to familiarize clinicians and policy makers with how ethical principles can guide systems change, in the service of frail older adults. In BC, the healthcare system has launched resources to support clinicians in proactive advance care planning discussions, and is providing enhanced supportive and palliative care options to residents of long‐term care facilities. If the pandemic truly overwhelms the healthcare system, frailty, but not age alone, provides a fair and evidence‐based means of triaging patients for critical care and could be included into ventilator allocation frameworks. J Am Geriatr Soc 68:1666‐1670, 2020.

Frailty Index and functional level upon admission predict hospital outcomes: an interRAI-based cohort study of older patients in post-acute care hospitals

BACKGROUND

Geriatric assessment upon admission may reveal factors that contribute to adverse outcomes in hospitalized older patients. The purposes of this study were to derive a Frailty Index (FI-PAC) from the interRAI Post-Acute Care instrument (interRAI-PAC) and to analyse the predictive ability of the FI-PAC and interRAI scales for hospital outcomes.

METHODS

This retrospective cohort study was conducted by combining patient data from interRAI-PAC with discharge records from two post-acute care hospitals. The FI-PAC was derived from 57 variables that fulfilled the Frailty Index criteria. Associations of the FI-PAC and interRAI-PAC scales (ADLH for activities of daily living, CPS for cognition, DRS for mood, and CHESS for stability of health status) with hospital outcomes (prolonged hospital stay ≥90 days, emergency department admission during the stay, and in-hospital mortality) were analysed using logistic regression and ROC curves.

RESULTS

The cohort included 2188 patients (mean age (SD) 84.7 (6.3) years) who were hospitalized in two post-acute care hospitals. Most patients (n = 1691, 77%) were discharged and sent home. Their median length of stay was 35 days (interquartile range 18-87 days), and 409 patients (24%) had a prolonged hospital stay. During their stay, 204 patients (9%) were admitted to the emergency department and 231 patients (11%) died. The FI-PAC was normally distributed (mean (SD) 0.34 (0.15)). Each increase of 0.1 point in the FI-PAC increased the likelihood of prolonged hospital stay (odds ratio [95% CI] 1.91 [1.73─2.09]), emergency admission (1.24 [1.11─1.37]), and in-hospital death (1.82 [1.63─2.03]). The best instruments for predicting prolonged hospital stay and in-hospital mortality were the FI-PAC and the ADLH scale (AUC 0.75 vs 0.72 and 0.73 vs 0.73, respectively). There were no differences in the predictive abilities of interRAI scales and the FI-PAC for emergency department admission.

CONCLUSIONS

The Frailty Index derived from interRAI-PAC predicts adverse hospital outcomes. Its predictive ability was similar to that of the ADLH scale, whereas other interRAI-PAC scales had less predictive value. In clinical practice, assessment of functional ability is a simple way to assess a patient's prognosis.

Frail Older Individuals Maintaining a Steady Standing Position: Associations Between Sway Measurements with Frailty Status Across Four Different Frailty Instruments

Objective

An analysis of the relationships between static equilibrium parameters and frailty status and/or severity across four different frailty measures.

Design

Cross-sectional analysis.

Setting

Geriatric wards of a general hospital.

Participants

One hundred twenty-three geriatric inpatients comprising 70 women (56.5%) and 53 men (42.7%) with an age range of 68–95 years.

Methods

The variation in the center of pressure (CoP), ie, the length of sway, the area of sway, and the mean speed, was assessed for different positions/tasks: 1) wide standing with eyes open (WSEO); 2) wide standing with eyes closed (WSEC); 3) narrow standing with eyes open (NSEO) and 4) narrow standing with eyes closed (NSEC), using a force plate. Frailty status and/or frailty severity were evaluated using the frailty phenotype (FP), the clinical frailty scale (CFS), the 14-item frailty index based on a comprehensive geriatric assessment (FI-CGA), and a 47-item frailty index (FI).

Results

WSEO length of sway (FP, CFS, FI-CGA, FI), WSEO area of sway (FP, CFS, FI-CGA, FI), and WSEO mean speed (FP, CFS, FI-CGA, FI), WSEC length of sway (FP, FI-CGA, FI), WSEC area of sway (FP, FI-CGA, FI) and WSEC mean speed (FI-CGA, FI), NSEO length of sway (FP, FI-CGA, FI), NSEO area of sway (FP, CFS, FI-CGA, FI), and NSEO mean speed (FP, CFS, FI-CGA, FI), NSEC length of sway (FI-CGA, FI), NSEC area of sway (FI-CGA, FI) and NSEC mean speed (FI-CGA, FI) were associated with the frailty status and/or severity across the four different frailty instruments (all p < 0.05, respectively).

Conclusion

Greater fluctuations in CoP with increasing frailty status and/or severity were a uniform finding across various major frailty instruments.

Evaluation of clinical frailty screening in geriatric acute care

BACKGROUND

While frailty status is an attractive risk stratification tool, the evaluation of frailty in acute care can be challenging as some inpatients are unable to complete performance-based tests as part of frailty assessment and some tools may lack discriminative ability and categorize majority of cohorts as "frail". In this study, we evaluated the feasibility of frailty screening with the simple clinical frailty scale (CFS) by different clinicians, and its association with mortality and rehospitalization in a geriatric acute care setting.

METHODS

This study took place in Geriatric Medicine Department of a General Hospital in Singapore. We analysed records of 314 inpatients aged 70 years and older. At baseline, premorbid frailty was assessed using the CFS of the Canadian Study on Health and Aging. Demographic characteristics and other variables were retrieved from their medical records. Primary outcomes were mortality and rehospitalization during the 6-month follow-up. Survival analysis was used to compare the time to death and rehospitalization among CFS categories (1-4: nonfrail, 5-6: mild-moderate frail, and 7-8: severe frail).

RESULTS

CFS showed a high inter-rater reliability when used by different clinicians. In the Cox proportional hazard model controlling for age, gender, Charlson comorbidity index, modified severity of illness index, and discharge placements, severe frailty determined by CFS (HR = 2.09, 95% CI = 1.01-4.33, P = 0.047) and CFS scores (HR = 1.27, 95% CI = 1.05-1.53, P = 0.012) were significantly associated with higher mortality until 6-month postdischarge, but not rehospitalization.

CONCLUSION

Frailty status determined by CFS adds to disease severity and comorbidity in predicting short-term mortality but not rehospitalization in older inpatients who received geriatric acute care in our setting. CFS is reliable and has the potential to be incorporated into routine screening to better identify, communicate, and address frailty in the acute settings.

Frailty as a predictor of adverse outcomes in hospitalized older adults: A systematic review and meta-analysis

Frailty syndrome is prevalent among hospitalized older adults as are the occurrence of adverse outcomes. This systematic review and meta-analysis investigated whether frailty in older adults at hospital admission predicts adverse outcomes. Manual (ProQuest, conferences annals and references) and electronic searches (PUBMED, EMBASE, Web of Science, Lilacs, CINAHL, PsycINFO and Google Scholar) were performed. We included prospective studies of hospitalized older adults. Primary outcomes were functional decline at hospital discharge and mortality after discharge. Other data were considered secondary outcomes. Methodological quality was evaluated by the Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. Twenty-eight papers were included, corresponding to 19 cohorts (5 cohorts for functional decline and 16 for mortality), with moderate to good methodological quality. Being frail [RR: 1.32 (95%CI: 1.04; 1.67)] and pre-frail [RR: 1.51 (95%CI: 1.05; 2.17)] are risk factors for functional decline compared with being nonfrail. Frail individuals had a relative risk for in-hospital mortality and mortality in medium- and long-term compared to nonfrail (in-hospital RR: 8.20, medium RR: 9.49 and long RR: 7.94) and pre-frail (in-hospital RR: 3.19, medium RR: 3.31 and long RR: 3.72). The overall mortality risk in frail individuals is 3.49 and 2.14 times compared to nonfrail and pre-frail, respectively. Length of hospital stay was higher for frail older adults (13.5 days) compared with pre-frail (10.5 days) and nonfrail (8.3 days). Therefore, being frail at hospital admission is a risk factor for in-hospital mortality, long hospital stay, functional decline at hospital discharge, and mortality in the medium- and long-term.

Comparing the prognostic value of geriatric health indicators: a population-based study

BACKGROUND

The identification of individuals at increased risk of poor health-related outcomes is a priority. Geriatric research has proposed several indicators shown to be associated with these outcomes, but a head-to-head comparison of their predictive accuracy is still lacking. We therefore aimed to compare the accuracy of five geriatric health indicators in predicting different outcomes among older persons: frailty index (FI), frailty phenotype (FP), walking speed (WS), multimorbidity, and a summary score including clinical diagnoses, functioning, and disability (the Health Assessment Tool; HAT).

METHODS

Data were retrieved from the Swedish National Study on Aging and Care in Kungsholmen, an ongoing longitudinal study including 3363 people aged 60+. To inspect the accuracy of geriatric health indicators, we employed areas under the receiver operating characteristic curve (AUC) for the prediction of 3-year and 5-year mortality, 1-year and 3-year unplanned hospitalizations (1+), and contacts with healthcare providers in the 6 months before and after baseline evaluation (2+).

RESULTS

FI, WS, and HAT showed the best accuracy in the prediction of mortality [AUC(95%CI) for 3-year mortality 0.84 (0.82-0.86), 0.85 (0.83-0.87), 0.87 (0.85-0.88) and AUC(95%CI) for 5-year mortality 0.84 (0.82-0.86), 0.85 (0.83-0.86), 0.86 (0.85-0.88), respectively]. Unplanned hospitalizations were better predicted by the FI [AUC(95%CI) 1-year 0.73 (0.71-0.76); 3-year 0.72 (0.70-0.73)] and HAT [AUC(95%CI) 1-year 0.73 (0.71-0.75); 3-year 0.71 (0.69-0.73)]. The most accurate predictor of multiple contacts with healthcare providers was multimorbidity [AUC(95%CI) 0.67 (0.65-0.68)]. Predictions were generally less accurate among younger individuals (< 78 years old).

CONCLUSION

Specific geriatric health indicators predict clinical outcomes with different accuracy. Comprehensive indicators (HAT, FI, WS) perform better in predicting mortality and hospitalization. Multimorbidity exhibits the best accuracy in the prediction of multiple contacts with providers.

LAV-BPIFB4 associates with reduced frailty in humans and its transfer prevents frailty progression in old mice

Background: There is an increasing concern about age-related frailty because of the growing number of elderly people in the general population. The Longevity-Associated Variant (LAV) of the human BPIFB4 gene was found to correct endothelial dysfunction, one of the mechanisms underlying frailty, in aging mice whereas the RV-BPIFB4 variant induced opposite effects. Thus, we newly hypothesize that, besides being associated with life expectancy, BPIFB4 polymorphisms can predict frailty.

Aim and Results: Here we investigated if the BPIFB4 haplotypes, LAV, wild-type (WT) and RV, differentially associate with frailty in a cohort of 237 elderly subjects from Calabria region in Southern Italy. Moreover, we studied the effect of systemic adeno-associated viral vector-mediated LAV-BPIFB4 gene transfer on the progression of frailty in aging mice. We found an inverse correlation of the homozygous LAV-BPIFB4 haplotype with frailty in elderly subjects. Conversely, carriers of the RV-BPIFB4 haplotype showed an increase in the frailty status and risk of death. Moreover, in old mice, LAV-BPIFB4 gene transfer delayed frailty progression.

Conclusions: These data indicate that specific BPIFB4 haplotypes could represent useful genetic markers of frailty. In addition, horizontal transfer of a healthy gene variant can attenuate frailty in aging organisms.

Degree and centrality-based approaches in network-based variable selection: Insights from the Singapore Longitudinal Aging Study

We describe a network-based method to obtain a subset of representative variables from clinical data of subjects of the second Singapore Longitudinal Aging Study (SLAS-2), while preserving to a good extent the predictive performance of the full set with regards to a multi-faceted index of successful aging, SAGE. To examine differences in predictive performance of high-degree nodes (“hubs”) and high-centrality ones (“cores”), we implement four subsetting strategies (two degree-based, two centrality-based) and obtain four surrogate sets of variables, which we use as input features for machine learning models to predict the SAGE index of subjects. All four models have variables belonging to the physical, cardiovascular, cognitive and immunological domains among their fifteen most important predictors. A fifth domain (leisure-time activities, LTA) is also present in some form. From a comparison of the surrogate sets’ size and predictive performance, a centrality-based approach (selection of the most central variable-nodes within each cluster) yielded the smallest-sized surrogate set, while having high prediction accuracy (measured by its model’s area-under-curve, AUC) in comparison to its analogous degree-based strategy (selection of the highest-degree nodes per cluster). Inclusion of the next most-central variables yielded negligible changes in predictive performance while more than doubling the surrogate set size. The centrality-based approach thus yields a surrogate set which offers a good balance between number of variables and prediction performance, and can act as a representative subset of the SLAS-2 clinical dataset.

Predictability of a modified Mini- Nutritional- Assessment version on six-month and one-year mortality in hospitalized geriatric patients: a comparative analysis

Recently we introduced a modified Mini Nutritional Assessment (MNA) Short Form (MNA-SF) and Long Form (MNA-SF) with operationalization of the ‘mobility’ and ‘neuropsychological problems’ items of the MNA using scores on Barthel Index mobility item and Mini Mental State Examination and Geriatric Depression Scale scores. We have now evaluated the abilities of this modified MNA-SF and MNA-LF to predict mortality in comparison with the standard MNA-SF and MNA-LF and the Nutritional Risk Screening 2002 (NRS 2002) and the Malnutrition Universal Screening Tool (MUST). A prospective analysis was performed in 240 hospitalised geriatric patients aged ≥ 65 years. Malnutrition and/or malnutrition risk were assessed using the modified MNA-SF and MNA-LF, the standard MNA-SF and MNA-LF, and the NRS 2002 and MUST. The modified MNA-SF and MNA-LF and the standard MNA-SF and MNA-LF assessments (all p < 0.05), but not NRS 2002 or MUST (all p ≥ 0.05), predicted six-month and/or one-year mortality. Prediction of six-month and/or one-year mortality by the modified MNA-SF was comparable with predictions by the standard MNA-SF and MNA-LF (all p ≥ 0.05). The modified MNA-LF showed better prediction of six-month and one-year mortality than the standard MNA-SF and MNA-LF (all p < 0.05). The modified MNA-LF (all adjusted p < 0.05), but none of the other instruments (all adjusted p ≥ 0.05), predicted six-month and one-year mortality independently of age, sex, frailty, comorbidity and ADL disability burden. The modified MNA-SF and MNA-LF emerged as potentially valuable tools for predicting mortality in patients hospitalised on geriatric wards.

Changes of a frailty index based on common blood and urine tests during a hospital stay on geriatric wards predict 6-month and 1-year mortality in older people

Background

We aimed to evaluate the abilities of a 21-item frailty index based on laboratory blood and urine tests (FI-Lab21) assessed at different points in time, ie, at admission to hospital (FI-Lab21_admission) and before discharge from hospital (FI-Lab21_discharge), and the change of the FI-Lab21 during the hospital stay to predict 6-month and 1-year mortality in hospitalized geriatric patients.

Methods

Five hundred hospitalized geriatric patients aged ≥65 years were included in this analysis. Follow-up data were acquired after a period of 6 months and 1 year.

Results

The FI-Lab21_admission and FI-Lab21_discharge scores were 0.33±0.15 and 0.31±0.14, respectively (P<0.001). The FI-Lab21_admission and FI-Lab21_discharge both predicted 6-month and 1-year mortality (areas under the receiver operating characteristic curves: 0.72, 0.72, 0.77, and 0.75, respectively, all P<0.001). The predictive abilities for 6-month and 1-year mortality of the FI-Lab21_admission were inferior compared with those of the FI-Lab21_discharge (all P<0.05). Patients with a reduction in or stable FI-Lab21 score during the hospital stay revealed lower 6-month and 1-year mortality rates compared with the persons whose FI-Lab21 score increased during the hospital stay (all P<0.05). After adjustment for age, sex, and FI-Lab21_admission, each 1% decrease in the FI-Lab21 during the hospital stay was associated with a decrease in 6-month and 1-year mortality of 5.9% and 5.3% (both P<0.001), respectively.

Conclusion

The FI-Lab21 assessed at admission or discharge and the changes of the FI-Lab21 during the hospital stay emerged as interesting and feasible approaches to stratify mortality risk in hospitalized geriatric patients.

What do we know about frailty in the acute care setting? A scoping review

Background

The ability of acute care providers to cope with the influx of frail older patients is increasingly stressed, and changes need to be made to improve care provided to older adults. Our purpose was to conduct a scoping review to map and synthesize the literature addressing frailty in the acute care setting in order to understand how to tackle this challenge. We also aimed to highlight the current gaps in frailty research.

Methods

This scoping review included original research articles with acutely-ill Emergency Medical Services (EMS) or hospitalized older patients who were identified as frail by the authors. We searched Medline, CINAHL, Embase, PsycINFO, Eric, and Cochrane from January 2000 to September 2015.

Results

Our database search initially resulted in 8658 articles and 617 were eligible. In 67% of the articles the authors identified their participants as frail but did not report on how they measured frailty. Among the 204 articles that did measure frailty, the most common disciplines were geriatrics (14%), emergency department (14%), and general medicine (11%). In total, 89 measures were used. This included 13 established tools, used in 51% of the articles, and 35 non-frailty tools, used in 24% of the articles. The most commonly used tools were the Clinical Frailty Scale, the Frailty Index, and the Frailty Phenotype (12% each). Most often (44%) researchers used frailty tools to predict adverse health outcomes. In 74% of the cases frailty predicted the outcome examined, typically mortality and length of stay.

Conclusions

Most studies (83%) were conducted in non-geriatric disciplines and two thirds of the articles identified participants as frail without measuring frailty. There was great variability in tools used and more recently published studies were more likely to use established frailty tools. Overall, frailty appears to be a good predictor of adverse health outcomes. For frailty to be implemented in clinical practice frailty tools should help formulate the care plan and improve shared decision making. How this will happen has yet to be determined.

Electronic supplementary material

The online version of this article (10.1186/s12877-018-0823-2) contains supplementary material, which is available to authorized users.

Identification of older adults with frailty in the Emergency Department using a frailty index: results from a multinational study

Objective

frailty is a central concept in geriatric medicine, yet its utility in the Emergency Department (ED) is not well understood nor well utilised. Our objectives were to develop an ED frailty index (FI-ED), using the Rockwood cumulative deficits model and to evaluate its association with adverse outcomes.

Method

this was a large multinational prospective cohort study using data from the interRAI Multinational Emergency Department Study. The FI-ED was developed from the Canadian cohort and validated in the multinational cohort. All patients aged ≥75 years presenting to an ED were included. The FI-ED was created using 24 variables included in the interRAI ED-Contact Assessment tool.

Results

there were 2,153 participants in the Canadian cohort and 1,750 in the multinational cohort. The distribution of the FI-ED was similar to previous frailty indices. The mean FI-ED was 0.26 (Canadian cohort) and 0.32 (multinational cohort) and the 99th percentile was 0.71 and 0.81, respectively. In the Canadian cohort, a 0.1 unit increase in the FI-ED was significantly associated with admission (odds ratio (OR) = 1.43 [95% CI: 1.34-1.52]); death at 28 days (OR = 1.55 [1.38-1.73]); prolonged hospital stay (OR = 1.37 [1.22-1.54]); discharge to long-term care (OR = 1.30 [1.16-1.47]); and need for Comprehensive geriatric Assessment (OR = 1.51 [1.41-1.60]). The multinational cohort showed similar associations.

Conclusion

the FI-ED conformed to characteristics previously reported. A FI, developed and validated from a brief geriatric assessment tool could be used to identify ED patients at higher risk of adverse events.

Mortality Risk Along the Frailty Spectrum: Data from the National Health and Nutrition Examination Survey 1999 to 2004

OBJECTIVES

To determine the relationship between frailty and overall and cardiovascular mortality.

DESIGN

Longitudinal mortality analysis.

SETTING

National Health and Nutrition Examination Survey (NHANES) 1999-2004.

PARTICIPANTS

Community-dwelling older adults aged 60 and older (N = 4,984; mean age 71.1 ± 0.19, 56% female).

MEASUREMENTS

We used data from 1999-2004 cross-sectional NHANES and mortality data from the National Death Index, updated through December 2011. An adapted version of Fried's frailty criteria was used (low body mass index, slow walking speed, weakness, exhaustion, low physical activity). Frailty was defined as persons meeting 3 or more criteria, prefrailty as meeting 1 or 2 criteria, and robust (reference) as not meeting any criteria. The primary outcome was to evaluate the association between frailty and overall and cardiovascular mortality. Cox proportional hazard models were used to evaluate the association between risk of death and frailty category adjusted for age, sex, race, smoking, education, coronary artery disease, heart failure, nonskin cancer, diabetes, and arthritis.

RESULTS

Half (50.4%) of participants were classified as robust, 40.3% as prefrail, and 9.2% as frail. Fully adjusted models demonstrated that prefrail (hazard ratio (HR) = 1.64, 95% confidence interval (CI) = 1.45-1.85) and frail (HR = 2.79, 95% CI = 2.35-3.30) participants had a greater risk of death and of cardiovascular death (prefrail: HR = 1.84, 95% CI = 1.45-2.34; frail: HR = 3.39, 95% CI = 2.45-4.70).

CONCLUSION

Frailty and prefrailty are associated with increased risk of death. Demonstrating the association between prefrail status and mortality is the first step to identifying potential targets of intervention in future studies.

The male-female health-survival paradox in hospitalised older adults

OBJECTIVES

To determine whether the 'male-female health-survival paradox' is present in older hospitalised adults and to examine whether sex differences in the 'lethality' of acute medical conditions influence the relationship between sex and mortality.

STUDY DESIGN AND OUTCOME MEASURES

This study was a secondary analysis of prospective cohort data collected from 1418 Australian inpatients aged 70 years and over. Frailty was measured using a 39-variable Frailty Index (FI-AC). Analyses examined the relationship between sex, age, FI-AC and 28-day mortality. Survival models were adjusted for 'lethality' of acute conditions (high versus low mortality risk).

RESULTS

The FI-AC had a normal distribution in both sexes (female mean=0.34 (±0.13); male mean=0.31 (±0.15)). When adjusted for age, females had similar FI-AC scores to males (β coefficient=0.014, 95% confidence interval (CI)=0.00-0.028, p=0.056). There were 80 deaths in the sample, with females facing a significantly lower mortality risk than males of the same FI-AC and age (HR=0.39, 95% CI=0.25-0.63, p<0.001). Females were less likely than males to be admitted with a high-risk acute condition. Even so, this did not significantly reduce their survival advantage (HR=0.46, 95% CI=0.29-0.73, p=0.001).

CONCLUSION

The male-female health-survival paradox was not demonstrated in this study of older inpatients. Whilst females faced a significantly lower risk of near-term mortality, the sexes were found to have similar levels of frailty on admission to hospital. The sex mortality gap was not explained by sex differences in the 'lethality' of acute medical conditions.

Grip strength as a frailty diagnostic component in geriatric inpatients

BACKGROUND

Frailty has emerged as a key medical syndrome predictive of comorbidity, disability, institutionalization and death. As a component of the five frailty phenotype diagnostic criteria, patient grip strength deserves attention as a simple and objective measure of the frailty syndrome. The aim of this study was to assess conditions that influence grip strength in geriatric inpatients.

PATIENTS AND METHODS

The study group consisted of 80 patients aged 78.6±7.0 years [Formula: see text], with 68.8% women, admitted to the Department of Geriatrics. A comprehensive geriatric assessment was complemented with assessment for the frailty phenotype as described by Fried et al for all patients in the study group. Functional assessment included Barthel Index of Activities of Daily Living (Barthel Index), Instrumental Activities of Daily Living Scale and Mini-Mental State Examination.

RESULTS

Three or more frailty criteria were positive in 32 patients (40%), while 56 subjects (70%) fulfilled the frailty criterion of weakness (grip strength test). Multivariate linear regression analysis revealed that two independent measures showed positive association with grip strength - Mini-Mental State Examination score (β=0.239; P=0.001) and statin use (β=0.213; P=0.002) - and four independent measures were negatively associated with grip strength - female sex (β=-0.671; P<0.001), C-reactive protein (β=-0.253; P<0.001), prior myocardial infarction (β=-0.190; P=0.006) and use of an antidepressant (β=-0.163; P=0.018). Low physical activity was identified as the only independent qualitative frailty component associated with 2-year mortality in multivariate logistic regression analysis after adjustment for age and sex (odds ratio =6.000; 95% CI =1.357-26.536; P=0.018).

CONCLUSION

Cognitive function, somatic comorbidity and medical treatment affect grip strength as a measure of physical frailty in geriatric inpatients. Grip strength was not predictive of 2-year mortality in this group.

Surgical frailty assessment: a missed opportunity

Background

Preoperative frailty predicts adverse postoperative outcomes. Despite the advantages of incorporating frailty assessment into surgical settings, there is limited research on surgical healthcare professionals’ use of frailty assessment for perioperative care.

Methods

Healthcare professionals caring for patients enrolled at a Canadian teaching hospital were surveyed to assess their perceptions of frailty, as well as attitudes towards and practices for frail patients. The survey contained open-ended and 5-point Likert scale questions. Responses were compared across professions using independent sample t-tests and correlations between survey items were analyzed.

Results

Nurses and allied health professionals were more likely than surgeons to think frailty should play a role in planning a patient’s care (nurses vs. surgeons p = 0.008, allied health vs. surgeons p = 0.014). Very few respondents (17.5%) reported that they ‘always used’ a frailty assessment tool. Results from qualitative data analysis identified four main barriers to frailty assessment: institutional, healthcare system, professional knowledge, and patient/family barriers.

Conclusion

Across all disciplines, the lack of knowledge about frailty issues was a prominent barrier to the use of frailty assessments in practice, despite clinicians’ understanding that frailty affects their patients’ outcomes. Confidence in frailty assessment tool use through education and addressing barriers to implementation may increase use and improve patient care. Healthcare professionals agree that frailty assessments should play a role in perioperative care. However, few perform them in practice. Lack of knowledge about frailty is a key barrier in the use of frailty assessments and the majority of respondents agreed that they would benefit from further training.

Electronic supplementary material

The online version of this article (doi:10.1186/s12871-017-0390-7) contains supplementary material, which is available to authorized users.

Operationalizing a frailty index using routine blood and urine tests

Background

Uncomplicated frailty instruments are desirable for use in a busy clinical setting. The aim of this study was to operationalize a frailty index (FI) from routine blood and urine tests, and to evaluate the properties of this FI compared to other frailty instruments.

Materials and methods

We conducted a secondary analysis of a prospective cohort study on 306 patients aged ≥65 years hospitalized on geriatric wards. An FI comprising 22 routine blood parameters and one standard urine parameter (FI-Lab), a 50-item FI based on a comprehensive geriatric assessment (FI-CGA), a combined FI (FI-combined [items from the FI-Lab + others from the FI-CGA]), the Clinical Frailty Scale, rule-based frailty definition, and frailty phenotype were operationalized from data obtained during patients’ hospital stays (ie, before discharge [baseline examination]). Follow-up data were obtained up to 1 year after the baseline examination.

Results

The mean FI-Lab score was 0.34±15, with an upper limit of 0.74. The FI-Lab was correlated with all the other frailty instruments (all P<0.001). The FI-Lab revealed an area under the receiver-operating characteristic curve (AUC) for 6-month and 1-year mortality of 0.765 (0.694–0.836) and 0.769 (0.706–0.833), respectively (all P<0.001). Each 0.01 increment in FI-Lab increased the risk (adjusted for age and sex) for 6-month and 1-year mortality by 7.2% and 7.1%, respectively (all adjusted P<0.001). When any of the other FIs (except the FI-combined) were also included in the models, each 0.01 increment in FI-Lab score was associated with an increase in the risk of 6-month and 1-year mortality by 4.1%–5.4% (all adjusted P<0.001).

Conclusion

The FI-Lab showed key characteristics of an FI. The FI-Lab can be applied as a single frailty measure or in combination with/in addition to other frailty instruments.

A community virtual ward model to support older persons with complex health care and social care needs

Background

Globally the older population is increasing rapidly. As a result there is an increase in frail older persons living within the community, with increased risks of a hospital admission and higher mortality and morbidity rates. Due to complexity of care, health care professionals face challenges in providing effective case management and avoiding unplanned admissions to hospital. A community virtual ward (CVW) model was developed to assist health care professionals to support older persons at home during periods of illness and/or functional decline.

Methods

A quantitative observational study was conducted to examine if a CVW model of care reduced unplanned hospital admissions and emergency department (ED) presentations in 54 patients over a 12-month period. The sign-rank test examined matched data on bed days, ED presentations, and unplanned hospital admissions pre- and post-CVW implementation. Other risk factors for admission to hospital were examined using the Mann–Whitney test pre-and post-CVW admission, including falls, living alone, and cognition. Correlations between hospital admission avoidances and unplanned hospital admissions and ED presentations were tested using Spearman’s ρ test.

Results

There was a reduction in ED presentations post-CVW admission (P<0.001), and median unscheduled admissions were reduced (P=0.001). Those living alone had a lower number of ED presentations (median 0.5, interquartile range 0–1) prior to admission in comparison to those living with a caregiver, with no differences observed during admission to CVW. For those who experienced a fall during CVW admission, the odds ratio (OR) of requiring long-term care doubled for each extra fall (OR =2.24, 95% CI 1.11 to 4.52, P=0.025). Reduced cognition was associated with an increased risk of ED presentations (ρ=0.292, P<0.05) but not associated with increased risks of unplanned hospital admissions (ρ=0.09, P=0.546). There were no significant correlations seen between admission avoidance and the number of unplanned hospital admissions or ED presentations.

Conclusion

Through an integrated approach to care, a CVW model in the care of older persons can reduce ED presentations and unplanned hospital admissions.

Modifying the Phenotypic Frailty Model in Predicting Risk of Major Osteoporotic Fracture in the Elderly

INTRODUCTION

The phenotypic frailty (PF) model (including slow walking, low physical activity, exhaustion, weakness, and unintentional weight loss) has been widely used to quantify the degree of frailty and predict risks of adverse health outcomes for the elderly. However, evidence has shown that not all the components included in the PF model contribute equally, and low predictive accuracy of the PF model has been reported in predicting risks of outcomes. We aimed to improve predictive accuracy of the PF model in risk of major osteoporotic fracture (MOF) in the elderly by modifying its weighting of individual components.

METHODS

Data from the Global Longitudinal Study of Osteoporosis in Women (GLOW) 3-year Hamilton cohort were used for this study. We used the multivariable Cox regression model to identify the updated weighting for components in the original PF model. The goodness of fit and discrimination were assessed for model performances.

RESULTS

There were 3985 women included for analyses (mean age: 69.4 years). In the modified PF model, the updated weighting was 3 points for slowness and weakness, 2 points for weight loss, 1 point for poor endurance and exhaustion, and 1 point for low physical activity, respectively. The modified PF model could capture and categorize the future risk of MOF more accurately than the original model. Significant relationship between risks of MOF, falls, and death and the modified PF model was found. Compared with the original model, the modified PF model was a better fit to the data and with improved predictive accuracy.

CONCLUSION

Based on a simple and practical rescoring and recategorizing algorithm, the modified PF model could predict risks of adverse outcomes more accurately than the original model, reflecting a cost-effective way. More evidence is needed to validate the modified PF model and support its application in geriatric practice.

Comparing the predictive accuracy of frailty, comorbidity, and disability for mortality: a 1-year follow-up in patients hospitalized in geriatric wards

BACKGROUND

Studies evaluating and comparing the power of frailty, comorbidity, and disability instruments, together and in parallel, for predicting mortality are limited.

OBJECTIVE

This study aimed to evaluate and compare the measures of frailty, comorbidity, and disability in predicting 1-year mortality in geriatric inpatients.

DESIGN

Prospective cohort study.

PATIENTS AND SETTING

A total of 307 inpatients aged ≥65 years in geriatric wards of a general hospital participated in the study.

MEASUREMENTS

The patients were evaluated in relation to different frailty, comorbidity, and disability instruments during their hospital stays. These included three frailty (the seven-category Clinical Frailty Scale [CFS-7], a 41-item frailty index [FI], and the FRAIL scale), two comorbidity (the Cumulative Illness Rating Scale for Geriatrics [CIRS-G] and the comorbidity domain of the FI [Comorbidity-D-FI]), and two disability instruments (disability in basic activities of daily living [ADL-Katz] and the instrumental and basic activities of daily living domains of the FI [IADL/ADL-D-FI]). The patients were followed-up over 1 year.

RESULTS

Using FI, CIRS-G, Comorbidity-D-FI, and ADL-Katz, this study identified a patient group with a high (≥50%) 1-year mortality rate in all of the patients and the two patient subgroups (ie, patients aged 65-82 years and ≥83 years). The CFS-7, FI, FRAIL scale, CIRS-G, Comorbidity-D-FI, and IADL/ADL-D-FI (analyzed as full scales) revealed useful discriminative accuracy for 1-year mortality (ie, an area under the curve >0.7) in all the patients and the two patient subgroups (all P<0.001). Thereby, CFS-7 (in all patients and the two patient subgroups) and FI (in the subgroup of patients aged ≥83 years) showed greater discriminative accuracy for 1-year mortality compared to other instruments (all P<0.05).

CONCLUSION

All the different instruments emerged as suitable tools for risk stratification in geriatric inpatients. Among them, CFS-7, and in those patients aged ≥83 years, also the FI, might most accurately predict 1-year mortality in the aforementioned group of individuals.

The Association of Geriatric Syndromes with Hospital Outcomes

BACKGROUND

Frailty, history of dementia (HoD), and acute confusional states (ACS) are common in older patients admitted to hospital.

OBJECTIVE

To study the association of frailty (≥6 points in the Clinical Frailty Scale [CFS]), HoD, and ACS with hospital outcomes, controlling for age, gender, acute illness severity (measured by a Modified Early Warning Score in the emergency department), comorbidity (Charlson Comorbidity Index), and discharging specialty (general medicine, geriatric medicine, surgery).

DESIGN

Retrospective observational study.

SETTING

Large university hospital in England.

PATIENTS

We analyzed 8202 first nonelective inpatient episodes of people aged 75 years and older between October 2014 and October 2015.

MEASUREMENTS

The outcomes studied were prolonged length of stay (LOS ≥10 days), inpatient mortality, delayed discharge, institutionalization, and 30-day readmission. Statistical analyses were based on multivariate regression models.

RESULTS

Independently of controlling variables, prolonged LOS was predicted by CFS ≥6: odds ratio (OR) =1.55; 95% confidence interval [CI], 1.36-1.77; P ⟨ 0.001; HoD: OR = 2.16; 95% CI, 1.79-2.61; P ⟨ 0.001; and ACS: OR = 3.31; 95% CI, 2.64-4.15; P ⟨ 0.001. Inpatient mortality was predicted by CFS ≥6: OR = 2.29; 95% CI, 1.79-2.94; P ⟨ 0.001. Delayed discharge was predicted by CFS ≥6: OR = 1.46; 95% CI, 1.27-1.67; P ⟨ 0.001; HoD: OR = 2.17; 95% CI, 1.80-2.62; P ⟨ 0.001; and ACS: OR = 2.29; 95% CI: 1.83-2.85; P ⟨ 0.001. Institutionalization was predicted by CFS ≥6: OR = 2.56; 95% CI, 2.09-3.14; P ⟨ 0.001; HoD: OR = 2.51; 95% CI, 2.00-3.14; P ⟨ 0.001; and ACS: OR 1.93; 95% CI, 1.46-2.56; P ⟨ 0.001. Readmission was predicted by ACS: OR = 1.36; 95% CI, 1.09-1.71; P = 0.006.

CONCLUSIONS

Routine screening for frailty, HoD, and ACS in hospitals may aid the development of acute care pathways for older adults. Journal of Hospital Medicine 2017;12:83-89.

An overview of osteoporosis and frailty in the elderly

Osteoporosis and osteoporotic fractures remain significant public health challenges worldwide. Recently the concept of frailty in relation to osteoporosis in the elderly has been increasingly accepted, with emerging studies measuring frailty as a predictor of osteoporotic fractures. In this overview, we reviewed the relationship between frailty and osteoporosis, described the approaches to measuring the grades of frailty, and presented current studies and future research directions investigating osteoporosis and frailty in the elderly. It is concluded that measuring the grades of frailty in the elderly could assist in the assessment, management and decision-making for osteoporosis and osteoporotic fractures at a clinical research level and at a health care policy level.