Reliability of the Clinical Frailty Scale in very elderly ICU patients: a prospective European study

High-Sensitivity Cardiac Troponin T and Frailty Predict Short-Term Mortality in Patients ≥75 Years Undergoing Emergency Abdominal Surgery: A Prospective Observational Study

BACKGROUND

An elevated cardiac troponin concentration is a prognostic factor for perioperative cardiac morbidity and mortality. In elderly patients undergoing emergency abdominal surgery, frailty is a recognized risk factor, but little is known about the prognostic value of cardiac troponin in these vulnerable patients. Therefore, we investigated the prognostic significance of elevated high-sensitivity cardiac troponin T (hs-cTnT) concentration and frailty in a cohort of elderly patients undergoing emergency abdominal surgery.

METHODS

We included consecutive patients ≥75 years of age who presented for emergency abdominal surgery, defined as abdominal pathology requiring surgery within 72 hours, in a university hospital in Norway. Patients who underwent vascular procedures or palliative surgery for inoperable malignancies were excluded. Preoperatively, frailty was assessed using the Clinical Frailty Scale (CFS), and blood samples were measured for hs-cTnT. We evaluated the predictive power of CFS and hs-cTnT concentrations using receiver operating characteristic (ROC) curves and Cox proportional hazard regression with 30-day mortality as the primary outcome. Secondary outcomes included (1) a composite of 30-day all-cause mortality and major adverse cardiac event (MACE), defined as myocardial infarction, nonfatal cardiac arrest, or coronary revascularization; and (2) 90-day mortality.

RESULTS

Of the 210 screened and 156 eligible patients, blood samples were available in 146, who were included. Troponin concentration exceeded the 99th percentile upper reference limit (URL) in 83% and 89% of the patients pre- and postoperatively. Of the participants, 53% were classified as vulnerable or frail (CFS ≥4). The 30-day mortality rate was 12% (18 of 146). Preoperatively, a threshold of hs-cTnT ≥34 ng/L independently predicted 30-day mortality (hazard ratio [HR] 3.14, 95% confidence interval [CI], 1.13-9.45), and the composite outcome of 30-day mortality and MACE (HR 2.58, 95% CI, 1.07-6.49). In this model, frailty (continuous CFS score) also independently predicted 30-day mortality (HR 1.42, 95% CI, 1.01-2.00) and 30-day mortality or MACE (HR 1.37, 95% CI, 1.02-1.84). The combination of troponin and frailty, 0.14 × hs-cTnT +4.0 × CFS, yielded apparent superior predictive power (area under the receiver operating characteristics curve [AUC] 0.79, 95% CI, 0.68-0.88), compared to troponin concentration (AUC 0.69, 95% CI, 0.55-0.83) or frailty (AUC 0.69, 95% CI, 0.57-0.82) alone.

CONCLUSIONS

After emergency abdominal surgery in elderly patients, increased preoperative troponin concentration and frailty were independent predictors of 30-day mortality. The combination of increased troponin concentration and frailty seemed to provide better prognostic information than troponin or frailty alone. These results must be validated in an independent sample.

Frailty, Outcomes, Recovery and Care Steps of Critically Ill Patients (FORECAST): a prospective, multi-centre, cohort study

PURPOSE

Frailty is common in critically ill patients but the timing and optimal method of frailty ascertainment, trajectory and relationship with care processes remain uncertain. We sought to elucidate the trajectory and care processes of frailty in critically ill patients as measured by the Clinical Frailty Scale (CFS) and Frailty Index (FI).

METHODS

This is a multi-centre prospective cohort study enrolling patients ≥ 50 years old receiving life support > 24 h. Frailty severity was assessed with a CFS, and a FI based on the elements of a comprehensive geriatric assessment (CGA) at intensive care unit (ICU) admission, hospital discharge and 6 months. For the primary outcome of frailty prevalence, it was a priori dichotomously defined as a CFS ≥ 5 or FI ≥ 0.2. Processes of care, adverse events were collected during ICU and ward stays while outcomes were determined for ICU, hospital, and 6 months.

RESULTS

In 687 patients, whose age (mean ± standard deviation) was 68.8 ± 9.2 years, frailty prevalence was higher when measured with the FI (CFS, FI %): ICU admission (29.8, 44.8), hospital discharge (54.6, 67.9), 6 months (34.1, 42.6). Compared to ICU admission, aggregate frailty severity increased to hospital discharge but improved by 6 months; individually, CFS and FI were higher in 45.3% and 50.6% patients, respectively at 6 months. Compared to hospital discharge, 18.7% (CFS) and 20% (FI) were higher at 6 months. Mortality was higher in frail patients. Processes of care and adverse events were similar except for worse ICU/ward mobility and more frequent delirium in frail patients.

CONCLUSIONS

Frailty severity was dynamic, can be measured during recovery from critical illness using the CFS and FI which were both associated with worse outcomes. Although the CFS is a global measure, a CGA FI based may have advantages of being able to measure frailty levels, identify deficits, and potential targets for intervention.

The impact of frailty and rapid response team activation on patients admitted to the intensive care unit: A case-control matched, observational, single-centre cohort study

BACKGROUND

Frailty is a multi-dimensional syndrome associated with mortality and adverse outcomes in patients admitted to the intensive care unit (ICU). Further investigation is warranted to explore the interplay among factors such as frailty, clinical deterioration triggering a medical emergency team (MET) review, and outcomes following admission to the ICU.

METHODS

Single-centre, retrospective observational case-control study of adult patients (>18 years) admitted to a medical-surgical ICU with (cases) or without (controls) a preceding MET review between 4 h and 14 days prior. Matching was performed for age, ICU admission diagnosis, Acute Physiology and Chronic Health Evaluation III (APACHE III) score and the 8-point Clinical Frailty Scale (CFS). Cox proportional hazard regression modelling was performed to determine associations with 30-day mortality after admission to ICU.

RESULTS

A total of 2314 matched admissions were analysed. Compared to non-frail patients (CFS 1-4), mortality was higher in all frail patients (CFS 5-8), at 31% vs. 13%, and in frail patients admitted after MET review at 33%. After adjusting for age, APACHE, antecedent MET review and CFS in the Cox regression, mortality hazard ratio increased by 26% per CFS point and by 3% per APACHE III point, while a MET review was not an independent predictor. Limitations of medical treatment occurred in 30% of frail patients, either with or without a MET antecedent, and this was five times higher compared to non-frail patients.

CONCLUSION

Frail patients admitted to ICU have a high short-term mortality. An antecedent MET event was associated with increased mortality but did not independently predict short-term survival when adjusting for confounding factors. The intrinsic significance of frailty should be primarily considered during MET review of frail patients. This study suggests that routine frailty assessment of hospitalised patients would be helpful to set goals of care when admission to ICU could be considered.

Frailty assessment in critically ill older adults: a narrative review

Frailty, a condition that was first defined 20 years ago, is now assessed via multiple different tools. The Frailty Phenotype was initially used to identify a population of "pre-frail" and "frail" older adults, so as to prevent falls, loss of mobility, and hospitalizations. A different definition of frailty, via the Clinical Frailty Scale, is now actively used in critical care situations to evaluate over 65 year-old patients, whether it be for Intensive Care Unit (ICU) admissions, limitation of life-sustaining treatments or prognostication. Confusion remains when mentioning "frailty" in older adults, as to which tools are used, and what the impact or the bias of using these tools might be. In addition, it is essential to clarify which tools are appropriate in medical emergencies. In this review, we clarify various concepts and differences between frailty, functional autonomy and comorbidities; then focus on the current use of frailty scales in critically ill older adults. Finally, we discuss the benefits and risks of using standardized scales to describe patients, and suggest ways to maintain a complex, three-dimensional, patient evaluation, despite time constraints. Frailty in the ICU is common, involving around 40% of patients over 75. The most commonly used scale is the Clinical Frailty Scale (CFS), a rapid substitute for Comprehensive Geriatric Assessment (CGA). Significant associations exist between the CFS-scale and both short and long-term mortality, as well as long-term outcomes, such as loss of functional ability and being discharged home. The CFS became a mainstream tool newly used for triage during the Covid-19 pandemic, in response to the pressure on healthcare systems. It was found to be significantly associated with in-hospital mortality. The improper use of scales may lead to hastened decision-making, especially when there are strains on healthcare resources or time-constraints. Being aware of theses biases is essential to facilitate older adults' access to equitable decision-making regarding critical care. The aim is to help counteract assessments which may be abridged by time and organisational constraints.

β-blockers may be detrimental in frail patients with heart failure with preserved ejection fraction

BACKGROUND

The effectiveness of β-blocker in patients with heart failure with preserved ejection fraction (HFpEF) remains to be determined. We aimed to clarify the association between the use of β-blocker and prognosis according to the status of frailty.

METHODS

We compared prognosis between HFpEF patients with and without β-blockers stratified with the Clinical Frailty Scale (CFS), using data from the PURSUIT-HFpEF registry (UMIN000021831).

RESULTS

Among 1159 patients enrolled in the analysis (median age, 81.4 years; male, 44.7%), 580 patients were CFS ≤ 3, while 579 were CFS ≥ 4. Use of β-blockers was associated with a worse composite endpoint of all-cause death and heart failure readmission in patients with CFS ≥ 4 (adjusted hazard ratio (HR) 1.43, 95% CI 1.10-1.85, p = 0.007), but was not significantly associated with this endpoint in those with CFS ≤ 3 (adjusted HR 0.95, 95% CI 0.71-1.26, p = 0.719) in multivariable Cox proportional hazard models. These results were confirmed in a propensity-matched analysis (HR in those with CFS ≥ 4: 1.42, 95% CI 1.05-1.90, p = 0.020; that in those with CFS ≤ 3: 0.83, 95% CI 0.60-1.14, p = 0.249), and in an analysis in which patients were divided into CFS ≤ 4 and CFS ≥ 5.

CONCLUSIONS

Use of β-blockers was significantly associated with worse prognosis specifically in patients with HFpEF and high CFS, but not in those with low CFS. Use of β-blockers in HFpEF patients with frailty may need careful attention.

Patient characteristics associated with posttraumatic stress symptoms in intensive care unit survivors during a one-year follow-up: A multicenter study

BACKGROUND

Intensive care unit (ICU) patients are at risk of suffering from posttraumatic stress symptoms (PTSS) after ICU survival.

OBJECTIVES

To describe the prevalence of high levels of PTSS the first year after ICU admission. Further, to identify specific combinations of patient characteristics (latent classes based on pre-ICU data, demographics, and clinical characteristics), and to investigate possible associations among these classes and PTSS at 3, 6, and 12 months after ICU admission.

METHODS

Self-reported PTSS were measured with Impact of Event Scale-Revised (IES-R). PTSS and possible predictive factors (pre-ICU data, demographics, and clinical characteristics) were analyzed using descriptive statistics, latent class analysis, and linear mixed model for repeated measures.

RESULTS

High PTSS levels (IES-R ≥ 33) were reported by 14.9 % (95 % confidence interval [CI] [10.0; 21.1]), 16.7 % (95 % CI [11.5; 23.1]), and 18.4 % (95 % CI [12.9; 25.0]) of patients (sample 1, n = 174) at 3, 6, and 12 months, respectively. Three latent classes were identified (sample 2, n = 417). PTSS were significantly associated with class 2 (male with longer hospital stay) at 6 months and class 3 (age≥70, lower level of education, higher Simplified Acute Physiology Score, being mechanically ventilated) at all three measurement times.

CONCLUSIONS

The prevalence of high levels of PTSS is the greatest 12 months after ICU admission. Health professionals can use this information to be aware of specific groups of ICU patients reporting PTSS during the first year and follow up on these.

Clinical features and disease progression of elderly patients at the ICU setting

OBJECTIVE

To describe and characterize a cohort of octogenarian patients admitted to the ICU of the University Central Hospital of Asturias (HUCA).

DESIGN

Retrospective, observational and descriptive study of 14 months' duration.

SETTING

Cardiac and Medical intensive care units (ICU) of the HUCA (Oviedo).

PARTICIPANTS

Patients over 80 years old who were admitted to the ICU for more than 24 h.

INTERVENTIONS

None.

MAIN VARIABLES OF INTEREST

Age, sex, comorbidity, functional dependence, treatment, complications, evolution, mortality.

RESULTS

The most frequent reasons for admission were cardiac surgery and pneumonia. The average admission stay was significantly longer in patients under 85 years of age (p = 0,037). 84,3% of the latter benefited from invasive mechanical ventilation compared to 46,2% of older patients (p = <0,001). Patients over 85 years of age presented greater fragility. Admission for cardiac surgery was associated with a lower risk of mortality (HR = 0,18; 95% CI (0,062-0,527; p = 0,002).

CONCLUSIONS

The results have shown an association between the reason for admission to the ICU and the risk of mortality in octogenarian patients. Cardiac surgery was associated with a better prognosis compared to medical pathology, where pneumonia was associated with a higher risk of mortality. Furthermore, a significant positive association was observed between age and frailty.

Prevalence of and predictive factors associated with high levels of post-traumatic stress symptoms 3 months after intensive care unit admission: A prospective study

BACKGROUND

Post-traumatic stress symptoms (PTSS) following intensive care unit (ICU) treatment may increase morbidity and mortality. Therefore, it is important to identify patients at risk of suffering from such symptoms.

OBJECTIVES

The objective of this study was to describe the prevalence and identify possible predictive factors associated with high levels of PTSS 3 months after ICU admission.

METHODS

A multicentre, observational study was carried out in six ICUs in Norway. Patients aged ≥18 years were included. The Impact of Event Scale-Revised measured PTSS 3 months after ICU admission. The impacts of pre-ICU measures; demographic and clinical measures; and daily measures of pain, agitation, and delirium were analysed using univariate and multivariate logistic regression models.

RESULTS

In total, of the 273 patients included, the prevalence rate of high levels of PTSS was 19.8% (n = 54) 3 months after ICU admission (95% confidence interval [CI]: [15.2, 25.0]). Female gender, age, pre-ICU unemployment, a minimum of one episode of agitation or delirium, and pre-ICU level of functioning in daily living were all significantly associated with high levels of PTSS in univariate logistic analyses. In the multivariate logistic regression, two models were analysed. In model 1, episodes of agitation during ICU stay (odds ratio [OR] = 4.73; 95% CI: [1.17, 19.0]), pre-ICU unemployment (OR = 3.33; 95% CI: [1.26, 8.81]), and pre-ICU level of functioning in daily living (OR = 0.78; 95% CI: [0.63, 0.96]) (implying lower level) increased the odds of reporting high levels of PTSS. In model 2, pre-ICU unemployment (OR = 2.70; 95% CI: [1.05, 6.93]) and pre-ICU level of functioning in daily living (OR = 0.77; 95% CI: [0.62, 0.95]) (implying lower level) increased the odds of reporting high levels of PTSS.

CONCLUSIONS

Healthcare personnel are suggested to be aware of ICU patients' pre-ICU employment status, pre-ICU functioning in daily living, and agitation during ICU stay to identify those at risk of PTSS after discharge.

Long-stay ICU patients with frailty: mortality and recovery outcomes at 6 months

BACKGROUND

Prolonged intensive care unit (ICU) stay is associated with physical, cognitive, and psychological disabilities. The impact of baseline frailty on long-stay ICU patients remains uncertain. This study aims to investigate how baseline frailty influences mortality and post-ICU disability 6 months after critical illness in long-stay ICU patients.

METHODS

In this retrospective cohort study, we assessed patients hospitalized for ≥ 7 days in the ICU between May 2018 and May 2021, following them for up to 6 months or until death. Based on the Clinical Frailty Scale (CFS) at ICU admissions, patients were categorized as frail (CFS ≥ 5), pre-frail (CFS 3-4) and non-frail (CFS 1-2). Kaplan-Meier curves and a multivariate Cox model were used to examine the association between frailty and mortality. At the 6 month follow-up, we assessed psychological, physical, cognitive outcomes, and health-related quality of life (QoL) using descriptive statistics and linear regressions.

RESULTS

We enrolled 531 patients, of which 178 (33.6%) were frail, 200 (37.6%) pre-frail and 153 (28.8%) non-frail. Frail patients were older, had more comorbidities, and greater disease severity at ICU admission. At 6 months, frail patients presented higher mortality rates than pre-frail and non-frail patients (34.3% (61/178) vs. 21% (42/200) vs. 13.1% (20/153) respectively, p < 0.01). The rate of withdrawing or withholding of care did not differ significantly between the groups. Compared with CFS 1-2, the adjusted hazard ratios of death at 6 months were 1.7 (95% CI 0.9-2.9) for CFS 3-4 and 2.9 (95% CI 1.7-4.9) for CFS ≥ 5. At 6 months, 192 patients were seen at a follow-up consultation. In multivariate linear regressions, CFS ≥ 5 was associated with poorer physical health-related QoL, but not with poorer mental health-related QoL, compared with CFS 1-2.

CONCLUSION

Frailty is associated with increased mortality and poorer physical health-related QoL in long-stay ICU patients at 6 months. The admission CFS can help inform patients and families about the complexities of survivorship during a prolonged ICU stay.

Clinical Frailty Scale at presentation to the emergency department: interrater reliability and use of algorithm-assisted assessment

PURPOSE

The Clinical Frailty Scale (CFS) allows health care providers to quickly stratify older patients, to support clinical decision-making. However, few studies have evaluated the CFS interrater reliability (IRR) in Emergency Departments (EDs), and the freely available smartphone application for CFS assessment was never tested for reliability. This study aimed to evaluate the interrater reliability of the Clinical Frailty Scale (CFS) ratings between experienced and unexperienced staff (ED clinicians and a study team (ST) of medical students supported by a smartphone application to assess the CFS), and to determine the feasibility of CFS assignment in patients aged 65 or older at triage.

METHODS

Cross-sectional study using consecutive sampling of ED patients aged 65 or older. We compared assessments by ED clinicians (Triage Clinicians (TC) and geriatric ED trained nurses (geriED-TN)) and a study team (ST) of medical students using a smartphone application for CFS scoring. The study is registered on Clinicaltrials.gov (NCT05400707).

RESULTS

We included 1349 patients aged 65 and older. Quadratic-weighted kappa values for ordinal CFS levels showed a good IRR between TC and ST (ϰ = 0.73, 95% CI 0.69-0.76), similarly to that between TC and geriED-TN (ϰ = 0.75, 95% CI 0.66-0.82) and between the ST and geriED-TN (ϰ = 0.74, 95% CI 0.63-0.81). A CFS rating was assigned to 972 (70.2%) patients at triage.

CONCLUSION

We found good IRR in the assessment of frailty with the CFS in different ED providers and a team using a smartphone application to support rating. A CFS assessment occurred in more than two-thirds (70.2%) of patients at triage.

The trajectory of very old critically ill patients

The demographic shift, together with financial constraint, justify a re-evaluation of the trajectory of care of very old critically ill patients (VIP), defined as older than 80 years. We must avoid over- as well as under-utilisation of critical care interventions in this patient group and ensure the inclusion of health care professionals, the patient and their caregivers in the decision process. This new integrative approach mobilises expertise at each step of the process beginning prior to intensive care unit (ICU) admission and extending to long-term follow-up. In this review, several international experts have contributed to provide recommendations that can be universally applied. Our aim is to define a minimum core dataset of information to be shared and discussed prior to ICU admission and to facilitate the shared-decision-making process with the patient and their caregivers, throughout the patient journey. Documentation of uncertainty may contribute to a tailored level of care and ultimately to discussions around possible limitations of life sustaining treatments. The goal of ICU care is not only to avoid death, but more importantly to maintain an acceptable quality of life and functional autonomy after hospital discharge. Societal consideration is important to highlight, together with alternatives to ICU admission. We discuss challenges for the future and potential areas of research. In summary, this review provides a state-of-the-art current overview and aims to outline future directions to address the challenges in the treatment of VIP.

PreScheck Team Study: prehabilitation clinic as an effective patient management tool in elective cardiac surgery

INTRODUCTION

The main purpose of the study was to assess the impact of preoperative interdisciplinary assessment by the PreScheck Team on optimization of the final selection for elective cardiac surgery.

MATERIAL AND METHODS

This is a single-centre prospective observational study. The examined population consisted of 933 adult patients planned for cardiac surgery. After the exclusion of urgent operations, the study group consisted of 288 patients planned for elective cardiac surgery within 3 months from 1.01.2023 with PreScheck assessment (PreScheck Team group 2) and a control group of 311 patients scheduled for elective cardiac surgery between 1.03.2022 and 30.06.2022 (4 months), without preoperative interdiscipli-nary assessment (No PreScheck Team group 2).

RESULTS

Fifty-two patients (18.06%) from the study group were finally excluded from the surgery on the scheduled date. In 46 patients (88.46%) the temporary or permanent exclusion from surgery was a result of PreScheck Team assessment. In the control group 42 patients (13.5%) did not undergo surgery on the scheduled date. Twenty-seven of those patients (8.97%) were permanently excluded from cardiac surgery after admission to the hospital and required additional tests before the final clinical decision, with total hospitalization time of 146 days.

CONCLUSIONS

Pre Surgery Check (PreScheck) Team is an original concept that combines classical preoperative assessment and an outpatient prehabilitation clinic. The approach we are proposing here should be a complementary stage in the process of selection for elective cardiac surgery, in addition to the Heart Team recommendation. This two-step decision-making enables real individual risk assessment, selection of the most suitable intervention and better use of medical resources.

Do-Not-ResuscitateDecision-Making during the COVID-19 Pandemic in a Teaching Hospital: Lessons Learned for the Future

Method

A cross-sectional survey study was conducted between February 2021 and April 2021 for all doctors and doctors in training, working in the Antwerp University Hospital during the COVID-19 pandemic.

Results

127 doctors participated in this study. The familiarity with the different scores used in the triage during the COVID-10 pandemic was 51% for the Clinical Frailty Scale (CFS) and 20% for the Charlson Comorbidity Index (CCI). Participants indicated that their DNR decision is based on various aspects such as clinical assessment, comorbidities, patient's wishes, age, prognosis, and functional state.

Conclusion

The familiarity with the different scores used during triage assessments is low. The total clinical picture of the patient is needed to make a considered decision, and this total picture of the patient seems to be well encompassed by frailty measurement (CFS). Although many participants indicated that the different scores do not offer much added value compared to their clinical assessment, it can help guide DNR decisions, especially for doctors in training.

Frailty's influence on 30-day mortality in old critically ill ICU patients: a bayesian analysis evaluating the clinical frailty scale

INTRODUCTION

Frailty is widely acknowledged as influencing health outcomes among critically ill old patients. Yet, the traditional understanding of its impact has predominantly been through frequentist statistics. We endeavored to explore this association using Bayesian statistics aiming to provide a more nuanced understanding of this multifaceted relationship.

METHODS

Our analysis incorporated a cohort of 10,363 older (median age 82 years) patients from three international prospective studies, with 30-day all-cause mortality as the primary outcome. We defined frailty as Clinical Frailty Scale ≥ 5. A hierarchical Bayesian logistic regression model was employed, adjusting for covariables, using a range of priors. An international steering committee of registry members reached a consensus on a minimal clinically important difference (MCID).

RESULTS

In our study, the 30-day mortality was 43%, with rates of 38% in non-frail and 51% in frail groups. Post-adjustment, the median odds ratio (OR) for frailty was 1.60 (95% CI 1.45-1.76). Frailty was invariably linked to adverse outcomes (OR > 1) with 100% probability and had a 90% chance of exceeding the minimal clinically important difference (MCID) (OR > 1.5). For the Clinical Frailty Scale (CFS) as a continuous variable, the median OR was 1.19 (1.16-1.22), with over 99% probability of the effect being more significant than 1.5 times the MCID. Frailty remained outside the region of practical equivalence (ROPE) in all analyses, underscoring its clinical importance regardless of how it is measured.

CONCLUSIONS

This research demonstrates the significant impact of frailty on short-term mortality in critically ill elderly patients, particularly when the Clinical Frailty Scale (CFS) is used as a continuous measure. This approach, which views frailty as a spectrum, enables more effective, personalized care for this vulnerable group. Significantly, frailty was consistently outside the region of practical equivalence (ROPE) in our analysis, highlighting its clinical importance.

Cross-cultural adaption and inter-rater reliability of the Swedish version of the updated clinical frailty scale 2.0

BACKGROUND

Worldwide, there is a large and growing group of older adults. Frailty is known as an important discriminatory factor for poor outcomes. The Clinical Frailty Scale (CFS) has become a frequently used frailty instrument in different clinical settings and health care sectors, and it has shown good predictive validity. The aims of this study were to describe and validate the translation and cultural adaptation of the CFS into Swedish (CFS-SWE), and to test the inter-rater reliability (IRR) for registered nurses using the CFS-SWE.

METHODS

An observational study design was employed. The ISPOR principles were used for the translation, linguistic validation and cultural adaptation of the scale. To test the IRR, 12 participants were asked to rate 10 clinical case vignettes using the CFS-SWE. The IRR was assessed using intraclass correlation and Krippendorff's alpha agreement coefficient test.

RESULTS

The Clinical Frailty Scale was translated and culturally adapted into Swedish and is presented in its final form. The IRR for all raters, measured by an intraclass correlation test, resulted in an absolute agreement value among the raters of 0.969 (95% CI: 0.929-0.991) and a consistency value of 0.979 (95% CI: 0.953-0.994), which indicates excellent reliability. Krippendorff's alpha agreement coefficient for all raters was 0.969 (95% CI: 0.917-0.988), indicating near-perfect agreement. The sensitivity of the reliability was examined by separately testing the IRR of the group of specialised registered nurses and non-specialised registered nurses respectively, with consistent and similar results.

CONCLUSION

The Clinical Frailty Scale was translated, linguistically validated and culturally adapted into Swedish following a well-established standard technique. The IRR was excellent, judged by two established, separately used, reliability tests. The reliability test results did not differ between non-specialised and specialised registered nurses. However, the use of case vignettes might reduce the generalisability of the reliability findings to real-life settings. The CFS has the potential to be a common reference tool, especially when older adults are treated and rehabilitated in different care sectors.

The Clinical Frailty Scale for mortality prediction of old acutely admitted intensive care patients: a meta-analysis of individual patient-level data

BACKGROUND

This large-scale analysis pools individual data about the Clinical Frailty Scale (CFS) to predict outcome in the intensive care unit (ICU).

METHODS

A systematic search identified all clinical trials that used the CFS in the ICU (PubMed searched until 24th June 2020). All patients who were electively admitted were excluded. The primary outcome was ICU mortality. Regression models were estimated on the complete data set, and for missing data, multiple imputations were utilised. Cox models were adjusted for age, sex, and illness acuity score (SOFA, SAPS II or APACHE II).

RESULTS

12 studies from 30 countries with anonymised individualised patient data were included (n = 23,989 patients). In the univariate analysis for all patients, being frail (CFS ≥ 5) was associated with an increased risk of ICU mortality, but not after adjustment. In older patients (≥ 65 years) there was an independent association with ICU mortality both in the complete case analysis (HR 1.34 (95% CI 1.25-1.44), p < 0.0001) and in the multiple imputation analysis (HR 1.35 (95% CI 1.26-1.45), p < 0.0001, adjusted for SOFA). In older patients, being vulnerable (CFS 4) alone did not significantly differ from being frail. After adjustment, a CFS of 4-5, 6, and ≥ 7 was associated with a significantly worse outcome compared to CFS of 1-3.

CONCLUSIONS

Being frail is associated with a significantly increased risk for ICU mortality in older patients, while being vulnerable alone did not significantly differ. New Frailty categories might reflect its "continuum" better and predict ICU outcome more accurately.

TRIAL REGISTRATION

Open Science Framework (OSF: https://osf.io/8buwk/ ).

An Australian aged care home for people subject to homelessness: health, wellbeing and cost-benefit

BACKGROUND

Older people subject to homelessness face many challenges including poor health status, geriatric syndromes, and depression, coupled with barriers in accessing health and aged care services. Many are in need of formal aged care at a younger age than the general population, yet, in Australia, specialised aged-care services to support this vulnerable cohort are limited.

METHODS

This study was an evaluation of a new purpose-built aged care home for people with high care needs and who are homeless or at risk of homelessness. Over the first 12 months post-admission, the study examined: (1) changes in residents' physical, mental, psychological and social health, and (2) the costs incurred by the study cohort, including any cost benefit derived.

RESULTS

Thirty-five residents enrolled in the study between March 2020 - April 2021. At admission, almost half of residents were within the range for dementia, the majority were frail, at high risk for falls, and had scores indicative of depression. Over time, linear mixed-effect models showed significant improvement in personal wellbeing scores, with clinically significant improvements in overall health related quality of life. Levels of physical functional independence, frailty, and global cognition were stable, but cognitive functional ability declined over time. Comparison of 12 month pre- and post- admission cost utility data for a smaller cohort (n = 13) for whom complete data were available, suggested an average per resident saving of approximately AU$32,000, while the QALY indicators remained stable post-admission.

CONCLUSION

While this was a small study with no control group, these preliminary positive outcomes add to the growing body of evidence that supports the need for dedicated services to support older people subject to homelessness.

The influence of frailty on outcomes for older adults admitted to hospital with benign biliary disease: a single-centre, observational cohort study

INTRODUCTION

The prevalence and complications of biliary disease increase with age. Frailty has been associated with adverse outcomes in the hospital setting. We describe the prevalence of frailty in older patients hospitalised with benign biliary disease and its association with duration of hospital stay, and 90-day and 1-year mortality.

METHODS

We performed a retrospective cohort study of patients aged 75 years and over admitted with acute biliary disease between 17 September 2014 and 20 March 2017. Clinical Frailty Scale (CFS) score was recorded on admission.

RESULTS

We included 200 patients with a median age of 82 (75-99) years, 60% were female; 154 (77%) were independent for personal activities of daily living (ADLs) and 99 (49.5%) for instrumental ADLs. Cholecystitis was the most common diagnosis (43%) followed by cholangitis (36%) and pancreatitis (21%). Ninety-nine patients were non frail (NF; CFS 1-4) and 101 were frail (F; CFS 5-9). Some 104 patients received medical treatment only. Surgery was more common in NF patients (11% vs F 2%), percutaneous drainage more frequently performed in F patients (15% vs NF 5%) and endoscopic cholangiopancreatography was similar in both groups (F 32% vs NF 31%). Frailty was associated with worse clinical outcomes in F vs NF: functional deconditioning (34% vs 11%), increased care level (19% vs 3%), length of stay (12 vs 7 days), 90-day mortality (8% vs 3%) and 1-year mortality (48% vs 24%).

CONCLUSIONS

Half of patients in our cohort were frail and spent longer in hospital, were less likely to undergo surgery and were less likely to remain alive at 1 year after discharge.

Frailty is a stronger predictor of death in younger intensive care patients than in older patients: a prospective observational study

BACKGROUND

While frailty is a known predictor of adverse outcomes in older patients, its effect in younger populations is unknown. This prospective observational study was conducted in a tertiary-level mixed ICU to assess the impact of frailty on long-term survival in intensive care patients of different ages.

METHODS

Data on premorbid frailty (Clinical Frailty Score; CFS), severity of illness (the Simplified Acute Physiology Score, third version; SAPS3), limitations of care and outcome were collected in 817 adult ICU patients. Hazard ratios (HR) for death within 180 days after ICU admission were calculated. Unadjusted and adjusted analyses were used to evaluate the association of frailty with outcome in different age groups.

RESULTS

Patients were classified into predefined age groups (18-49 years (n = 241), 50-64 (n = 188), 65-79 (n = 311) and 80 years or older (n = 77)). The proportion of frail (CFS ≥ 5) patients was 41% (n = 333) in the overall population and increased with each age strata (n = 46 (19%) vs. n = 67 (36%) vs. n = 174 (56%) vs. n = 46 (60%), P < 0.05). Frail patients had higher SAPS3, more treatment restrictions and higher ICU mortality. Frailty was associated with an increased risk of 180-day mortality in all age groups (HR 5.7 (95% CI 2.8-11.4), P < 0.05; 8.0 (4.0-16.2), P < 0.05; 4.1 (2.2-6.6), P < 0.05; 2.4 (1.1-5.0), P = 0.02). The effect remained significant after adjustment for SAPS3, comorbidity and limitations of treatment only in patients aged 50-64 (2.1 (1.1-3.1), P < 0.05).

CONCLUSIONS

Premorbid frailty is common in ICU patients of all ages and was found in 55% of patients aged under 64 years. Frailty was independently associated with mortality only among middle-aged patients, where the risk of death was increased twofold. Our study supports the use of frailty assessment in identifying younger ICU patients at a higher risk of death.

Inter-rater reliability of the Clinical Frailty Scale by staff members in a Swedish emergency department setting

INTRODUCTION

As frailty among the elderly is receiving increasing attention in emergency departments (EDs) around the world, the use of frailty assessment tools is growing. An often used such tool is the Clinical Frailty Scale (CFS), whose inter-rater reliability has been sparingly investigated in ED settings. No inter-rater reliability study regarding CFS has previously been performed within the Scandinavian ED context. The primary aim of this study was to evaluate the inter-rater reliability of the CFS in a Swedish ED setting.

METHODS

This was a prospective observational study conducted at three Swedish EDs. Patients ≥65 years were independently assessed with CFS by their responsible physician, registered nurse, and assistant nurse. Demographic information for each assessor was collected, along with frailty status (frail/not frail) on the basis of clinical judgment. Inter-rater reliability was calculated using intraclass correlation coefficient (ICC), whereas agreement of frailty assessed by CFS (dichotomized between frail/not frail, cutoff at ≥5 points) versus solely by clinical judgment was calculated by using cross-tabulation.

RESULTS

One-hundred patients were included. We found inter-rater reliability to be moderate to good (ICC 0.78, 95% confidence interval [CI] 0.72-0.84), regardless of whether the care team included an emergency physician (ICC 0.74, 95% CI 0.62-0.83) or an intern/resident from another specialty (ICC 0.83, 95% CI 0.74-0.89). The agreement of clinically judged frailty compared to frailty according to CFS was 84%. In the opposing cases, staff tended to assess patients as frail to a higher extent using clinical judgment than by applying CFS on the same patient.

CONCLUSIONS

The CFS appears to have a moderate to good inter-rater reliability when used in a clinical ED setting. When guiding clinical decisions, we advise that the CFS score should be discussed within the team. Further research needs to be performed on the accuracy of clinical judgment to identify frailty in ED patients.

Association between frailty, delirium, and mortality in older critically ill patients: a binational registry study

Background

Frailty and delirium are prevalent among older adults admitted to the intensive care unit (ICU) and associated with adverse outcomes; however, their relationships have not been extensively explored. This study examined the association between frailty and mortality and length of hospital stay (LOS) in ICU patients, and whether the associations are mediated or modified by an episode of delirium.

Methods

Retrospective analysis of data from the Australian New Zealand Intensive Care Society Adult Patient Database. A total of 149,320 patients aged 65 years or older admitted to 203 participating ICUs between 1 January 2017 and 31 December 2020 who had data for frailty and delirium were included in the analysis.

Results

A total of 41,719 (27.9%) older ICU patients were frail on admission, and 9,179 patients (6.1%) developed delirium during ICU admission. Frail patients had significantly higher odds of in-hospital mortality (OR: 2.15, 95% CI 2.05–2.25), episodes of delirium (OR: 1.86, 95% CI 1.77–1.95), and longer LOS (log-transformed mean difference (MD): 0.24, 95% CI 0.23–0.25). Acute delirium was associated with 32% increased odds of in-hospital mortality (OR: 1.32, 95% CI 1.23–1.43) and longer LOS (MD: 0.54, 95% CI 0.50–0.54). The odds ratios (95% CI) for in-hospital mortality were 1.37 (1.23–1.52), 2.14 (2.04–2.24) and 2.77 (2.51–3.05) for non-frail who developed delirium, frail without delirium, and frail and developed delirium during ICU admission, respectively. There was very small but statistically significant effect of frailty on in-hospital mortality (b for indirect effect: 0.00037, P < 0.001) and LOS (b for indirect effect: 0.019, P < 0.001) mediated through delirium.

Conclusion

Both frailty and delirium independently increase the risk of in-hospital mortality and LOS. Acute delirium is more common in frail patients; however, it does not mediate or modify a clinically meaningful amount of the association between frailty and in-hospital mortality and LOS.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13613-022-01080-y.

Comparing the Clinical Frailty Scale and an International Classification of Diseases-10 Modified Frailty Index in Predicting Long-Term Survival in Critically Ill Patients

The Clinical Frailty Scale (CFS) is the most used frailty measure in intensive care unit (ICU) patients. Recently, the modified frailty index (mFI), derived from 11 comorbidities has also been used. It is unclear to what degree the mFI is a true measure of frailty rather than comorbidity. Furthermore, the mFI cannot be freely obtained outside of specific proprietary databases.

OBJECTIVE

To compare the performance of CFS and a recently developed International Classification of Diseases-10 (ICD-10) mFI (ICD-10mFI) as frailty-based predictors of long-term survival for up to 1 year.

DESIGN

A retrospective multicentric observational study.

SETTING AND PARTICIPANTS

All adult (≥16 yr) critically ill patients with documented CFS scores admitted to sixteen Australian ICUs in the state of Victoria between April 1, 2017 to June 30, 2018 were included. We used probabilistic methods to match de-identified ICU admission episodes listed in the Australia and New Zealand Intensive Care Society Adult Patient Database with the Victorian Admission Episode Dataset and the Victorian Death Index via the Victorian Data Linkage Centre.

MAIN OUTCOMES AND MEASURES

The primary outcome was the longest available survival following ICU admission. We compared CFS and ICD-10mFI as primary outcome predictors, after adjusting for key confounders.

RESULTS

The CFS and ICD-10mFI were compared in 7,001 ICU patients. The proportion of patients categorized as frail was greater with the CFS than with the ICD-10mFI (18.9% [n = 1,323] vs. 8.8% [n = 616]; p < 0.001). The median (IQR) follow-up time was 165 (82-276) days. The CFS predicted long-term survival up to 6 months after adjusting for confounders (hazard ratio [HR] = 1.26, 95% CI, 1.21-1.31), whereas ICD-10mFI did not (HR = 1.04, 95% CI, 0.98-1.10). The ICD-10mFI weakly correlated with the CFS (Spearman's rho = 0.22) but had a poor agreement (kappa = 0.06). The ICD-10mFI more strongly correlated with the Charlson comorbidity index (Spearman's rho 0.30) than CFS (Spearman's rho = 0.25) (p < 0.001).

CONCLUSIONS

CFS, but not ICD-10mFI, predicted long-term survival in ICU patients. ICD-10mFI correlated with co-morbidities more than CFS. These findings suggest that CFS and ICD-10mFI are not equivalent.

RELEVANCE

CFS and ICD-10mFI are not equivalent in screening for frailty in critically ill patients and therefore ICD-10mFI in its current form should not be used.

Treatment limitations and clinical outcomes in critically ill frail patients with and without COVID-19 pneumonitis

BACKGROUND

The presence of treatment limitations in patients with frailty at intensive care unit (ICU) admission is unknown. We aimed to evaluate the presence and predictors of treatment limitations in patients with and without COVID-19 pneumonitis in those admitted to Australian and New Zealand ICUs.

METHODS

This registry-based multicenter, retrospective cohort study included all frail adults (≥16 years) with documented clinical frailty scale (CFS) scores, admitted to ICUs with admission diagnostic codes for viral pneumonia or acute respiratory distress syndrome (ARDS) over 2 years between January 01, 2020 and December 31, 2021. Frail patients (CFS ≥5) coded as having viral pneumonitis or ARDS due to COVID-19 were compared to those with other causes of viral pneumonitis or ARDS for documented treatment limitations.

RESULTS

884 frail patients were included in the final analysis from 129 public and private ICUs. 369 patients (41.7%) had confirmed COVID-19. There were more male patients in COVID-19 (55.3% vs 47.0%; p = 0.015). There were no differences in age or APACHE-III scores between the two groups. Overall, 36.0% (318/884) had treatment limitations, but similar between the two groups (35.8% [132/369] vs 36.1% [186/515]; p = 0.92). After adjusting for confounders, increasing frailty (OR = 1.72; 95%-CI 1.39-2.14), age (OR = 1.05; 95%-CI 1.04-1.06), and presence of chronic respiratory condition (OR = 1.58; 95%-CI 1.10-2.27) increased the likelihood of instituting treatment limitations. However, the presence of COVID-19 by itself did not influence treatment limitations (odds ratio [OR] = 1.39; 95%-CI 0.98-1.96).

CONCLUSIONS

The proportion of treatment limitations was similar in patients with frailty with or without COVID-19 pneumonitis at ICU admission.

Performance of the APOP-screener for predicting in-hospital mortality in older COVID-19 patients: a retrospective study

BACKGROUND

A variety of prediction models concerning COVID-19 have been proposed since onset of the pandemic, but to this date no gold standard exists. Mortality rates show a sharp increase with advancing age but with the large heterogeneity of this population in terms of comorbidities, vulnerability and disabilities, identifying risk factors is difficult. Therefore, we aimed to research the multidimensional concept of frailty, measured by the Acute Presenting Older Patient (APOP)-screener, as a risk factor for in-hospital mortality in older COVID-19 patients.

METHODS

All consecutive patients of 70 years or older, with a PCR confirmed COVID-19 infection and a completed APOP-score, presenting at the Emergency Department (ED) of the Jeroen Bosch Hospital, the Netherlands, between February 27th 2020 and February 1st 2021 were retrospectively included. We gathered baseline characteristics and scored the CCI and CFS from patient records. The primary outcome was in-hospital mortality.

RESULTS

A total of 292 patients met the inclusion criteria. Approximately half of the patients were considered frail by the APOP or CFS. 127 patients (43.5%) scored frail on the CFS, 158 (54.1%) scored high risk on the APOP-screener. 79 patients (27.1%) died during their hospital admission. The APOP-screener showed a significantly elevated risk of in-hospital mortality when patients scored both high risk of functional and evidence of cognitive impairment (OR 2.24, 95% 1.18-4.25). Significant elevation of in-hospital mortality was found for the high CCI-scores (≥ 5)(OR 1.78, 95% 1.02-3.11), but not for the highest CFS category (5-9, frail) (OR 1.35, 95% 0.75-2.47). The discriminatory performance of the APOP, CFS and CCI were comparable (AUC resp. 0.59 (0.52-0.66), 0.54 (0.46-0.62) and 0.58 (0.51-0.65)).

CONCLUSION

Although the elevated risk for in-hospital mortality found for the most frail patients as scored by the APOP, this instrument has poor discriminatory value. Additionally, the CFS did not show significance in predicting in-hospital mortality and had a poor discriminatory value as well. Therefore, treatment decisions based on frailty or comorbidities alone should be made with caution. Approaching the heterogeneity of the older population by adding frailty as assessed by the APOP-score to existing prediction models may enhance the predictive value of these models.

Rural Family Caregiving: A Closer Look at the Impacts of Health, Care Work, Financial Distress, and Social Loneliness on Anxiety

Even before the COVID-19 pandemic, earlier acute care patient discharges, restricted admissions to long-term care, and reduced home care services increased the amount and complexity of family caregivers’ care work. However, much less is known about rural caregivers’ experiences. Thus, our aim in this sequential mixed-methods study was to understand how COVID-19 affected rural family caregivers. Thematically analyzed interviews and linear regression on survey data were used to understand family caregiver stress. Fourteen rural caregivers participated in interviews. They acknowledged that they benefitted from the circle of support in rural communities; however, they all reported having to cope with fewer healthcare and social services. 126 rural caregivers participated in the online survey. About a third (31%) of these caregivers had moderate frailty, indicating that they could benefit from support to improve their health. In linear regression, frailty, social loneliness, financial hardship, and younger age were associated with caregiver anxiety. Contrary to the qualitative reports that people in rural communities are supportive, over two-thirds of the rural caregivers completing the survey were socially lonely. Rural family caregivers are vulnerable to anxiety and social loneliness due to the nature of caregiving and the lack of healthcare and social service supports in rural areas. Primary healthcare and home care teams are well-positioned to assess caregivers’ health and care situation as well as to signpost them to needed supports that are available in their areas.

Clinically Interpretable Machine Learning Models for Early Prediction of Mortality in Older Patients with Multiple Organ Dysfunction Syndrome (MODS): An International Multicenter Retrospective Study

BACKGROUND

Multiple organ dysfunction syndrome (MODS) is associated with a high risk of mortality among older patients. Current severity scores are limited in their ability to assist clinicians with triage and management decisions. We aim to develop mortality prediction models for older patients with MODS admitted to the ICU.

METHODS

The study analyzed older patients from 197 hospitals in the US and one hospital in the Netherlands. The cohort was divided into the young-old (65-80 years) and old-old (≥80 years), which were separately used to develop and evaluate models including internal, external and temporal validation. Demographic characteristics, comorbidities, vital signs, laboratory measurements, and treatments were used as predictors. We used the XGBoost algorithm to train models, and the SHAP method to interpret predictions.

RESULTS

34,497 young-old (11.3% mortality) and 21,330 old-old (15.7% mortality) patients were analyzed. Discrimination AUROC of internal validation models in 9,046 U.S. patients was as follows: 0.87 and 0.82, respectively; Discrimination of external validation models in 1,905 EUR patients was as follows: 0.86 and 0.85, respectively; and of temporal validation models in 8,690 U.S. patients: 0.85 and 0.78, respectively. These models outperformed standard clinical scores like SOFA and APSIII. The GCS, Charlson Comorbidity Index, and Code Status emerged as top predictors of mortality.

CONCLUSIONS

Our models integrate data spanning physiologic and geriatric-relevant variables that outperform existing scores used in older adults with MODS, which represents a proof of concept of how machine learning can streamline data analysis for busy ICU clinicians to potentially optimize prognostication and decision making.

1-year quality of life and health-outcomes in patients hospitalised with COVID-19: a longitudinal cohort study

BACKGROUND

Published studies suggest physical recovery from the COVID-19 is complex, with many individuals experiencing persistent symptoms. There is a paucity of data investigating the longer-term trajectory of physical recovery from COVID-19.

METHODS

A prospective longitudinal design was utilised to investigate the impact COVID-19 has on physical functioning at 10-weeks (T1), 6-months (T2) and 1-year (T3) post-hospital discharge. Objective measures of recovery included 6-Minute Walk Test Distance (6MWTD), frailty (Clinical Frailty Scale), quantification of falls following hospital-discharge, return to work status and exercise levels. Subjective markers included symptoms (COVID-19-Specific Patient Concerns Assessment), fatigue (Chalder Fatigue Score) and health-related quality of life (HrQOL) [Short-Form-36 Health Survey Questionnaire (SF-36-II)]. Univariate analysis was performed using t-test, Wilcoxon rank-sum, and Chi-squared test, paired analysis using one-way analysis of variance and Krustal Wallis testing and correlation analysis with Spearman correlation tests.

RESULTS

Sixty-one subjects participated. Assessments were conducted at a median of 55 days(T1), 242 days(T2), and 430 days(T3) following hospital-discharge. 6MWTD improved significantly overtime (F = 10.3, p < 0.001) from 365(209)m at T1 to 447(85)m at T3, however remained below population norms and with no associated improvement in perceived exertion. Approximately half (n = 27(51%)) had returned to pre-diagnosis exercise levels at T3. At least one concern/symptom was reported by 74%, 59% and 64% participants at T1, T2 and T3 respectively. Fatigue was the most frequently reported symptom at T1(40%) and T2(49%), while issues with memory/concentration was the most frequently reported at T3(49%). SF-36 scores did not change in any domain over the study period, and scores remained lower than population norms in the domains of physical functioning, energy/vitality, role limitations due to physical problems and general health. Return-to-work rates are low, with 55% of participants returning to work in some capacity, and 31% of participants don't feel back to full-health at 1-year following infection.

CONCLUSION

Hospitalised COVID-19 survivors report persistent symptoms, particularly fatigue and breathlessness, low HrQOL scores, sub-optimal exercise levels and continued work absenteeism 1-year following infection, despite some objective recovery of physical functioning. Further research is warranted to explore rehabilitation goals and strategies to optimise patient outcomes during recovery from COVID-19.

CLINICAL MESSAGE

Hospitalised COVID-19 survivors report significant ongoing rehabilitation concerns 1-year following infection, despite objective recovery of physical functioning. Our findings suggest those who returned to exercise within 1-year may have less fatigue and breathlessness. The impact of exercise, and other rehabilitative strategies on physical functioning outcomes following COVID-19 should be investigated in future research.

Frailty assessment for COVID-19 follow-up: a prospective cohort study

BACKGROUND

The Clinical Frailty Scale (CFS) is increasingly used for clinical decision making in acute care but little is known about frailty after COVID-19.

OBJECTIVES

To investigate frailty and the CFS for post-COVID-19 follow-up.

METHODS

This prospective multicentre cohort study included COVID-19 survivors aged ≥50 years presenting for a follow-up visit ≥3 months after the acute illness. Nine centres retrospectively collected pre-COVID-19 CFS and prospectively CFS at follow-up. Three centres completed the Frailty Index (FI), the short physical performance battery (SPPB), 30 s sit-to-stand test and handgrip strength measurements. Mixed effect logistic regression models accounting for repeated measurements and potential confounders were used to investigate factors associated with post-COVID-19 CFS. Criterion and construct validity were determined by correlating the CFS to other concurrently assessed frailty measurements and measures of respiratory impairment, respectively.

RESULTS

Of the 288 participants 65% were men, mean (SD) age was 65.1 (9) years. Median (IQR) CFS at follow-up was 3 (2-3), 21% were vulnerable or frail (CFS ≥4). The CFS was responsive to change, correlated with the FI (r=0.69, p<0.001), the SPPB score (r=-0.48, p<0.001) (criterion validity) and with the St George's Respiratory Questionnaire score (r=0.59, p<0.001), forced vital capacity %-predicted (r=-0.25, p<0.001), 6 min walk distance (r=-0.39, p<0.001) and modified Medical Research Council (mMRC) (r=0.59, p<0.001). Dyspnoea was significantly associated with a higher odds for vulnerability/frailty (per one mMRC adjusted OR 2.01 (95% CI 1.13 to 3.58), p=0.02).

CONCLUSIONS

The CFS significantly increases with COVID-19, and dyspnoea is an important risk factor for post-COVID-19 frailty and should be addressed thoroughly.

The prevalence and prognostic value of frailty screening measures in patients undergoing surgery for colorectal cancer: observations from a systematic review

Introduction

Frailty is a complex multifactorial syndrome characterised by a significant increase in vulnerability and worsened health outcomes. Despite a range of proposed frailty screening measures, the prevalence and prognostic value of frailty in patients undergoing surgery for colorectal cancer is not clear.

Aim

The aim of this present review was to examine the use of commonly employed frailty screening measures in patients undergoing surgery for colorectal cancer.

Methods

A systematic search of PubMed and Medline was carried out to identify studies reporting the use of frailty screening tools or measures in patients undergoing surgery for colorectal cancer. The screening measure used and prevalence of frailty within the population were recorded. Outcomes of interest were the incidence of post-operative complications, 30-day mortality and overall survival.

Results

Of the 15 studies included (n = 97, 898 patients), 9 studies were retrospective and included patients aged 70 years or older (n = 96, 120 patients). 5 of 12 studies reported that frailty was independently associated with the incidence of post-operative complications. There was also evidence that frailty was independently associated with 30-day mortality (1 of 4 studies, n = 9, 252 patients) and long-term survival (2 of 3 studies, n = 1, 420 patients).

Conclusions

Frailty was common in patients with colorectal cancer and the assessment of frailty may have prognostic value in patients undergoing surgery. However, the basis of the relationship between frailty and post-operative outcomes is not clear and merits further study.

Bacteraemia and quick Sepsis Related Organ Failure Assessment (qSOFA) are independent risk factors for long-term mortality in very elderly patients with suspected infection: retrospective cohort study

Background

In older adult patients, bloodstream infections cause significant mortality. However, data on long-term prognosis in very elderly patients are scarce. This study aims to assess 1-year mortality from bacteraemia in very elderly patients.

Methods

Retrospective cohort study in inpatients aged 80 years or older and suspected of having sepsis. Patients with (n = 336) and without (n = 336) confirmed bacteraemia were matched for age, sex, and date of culture, and their characteristics were compared. All-cause mortality and risk of death were assessed using the adjusted hazard ratio (aHR).

Results

Compared to controls, cases showed a higher 1-year mortality (34.8% vs. 45.2%) and mortality rate (0.46 vs. 0.69 deaths per person-year). Multivariable analysis showed significant risk of 1-year mortality in patients with bacteraemia (aHR: 1.31, 95% confidence interval [CI] 1.03–1.67), quick Sepsis Related Organ Failure Assessment (qSOFA) score of 2 or more (aHR: 2.71, 95% CI 2.05–3.57), and age of 90 years or older (aHR 1.53, 95% CI 1.17–1.99).

Conclusions

In elderly patients suspected of sepsis, bacteraemia is associated with a poor prognosis and higher long-term mortality. Other factors related to excess mortality were age over 90 years and a qSOFA score of 2 or more.

The feasibility and reliability of frailty assessment tools applicable in acute in-hospital trauma patients: A systematic review

BACKGROUND

Assessing frailty in patients with an acute trauma can be challenging. To provide trustworthy results, tools should be feasible and reliable. This systematic review evaluated existing evidence on the feasibility and reliability of frailty assessment tools applied in acute in-hospital trauma patients.

METHODS

A systematic search was conducted in relevant databases until February 2020. Studies evaluating the feasibility and/or reliability of a multidimensional frailty assessment tool used to identify frail trauma patients were identified. The feasibility and reliability results and the risk of bias of included studies were assessed. This study was conducted and reported in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement and registered in Prospective Register of Systematic Reviews (ID: CRD42020175003).

RESULTS

Nineteen studies evaluating 12 frailty assessment tools were included. The risk of bias of the included studies was fair to good. The most frequently evaluated tool was the Clinical Frailty Scale (CFS) (n = 5). All studies evaluated feasibility in terms of the percentage of patients for whom frailty could be assessed; feasibility was high (median, 97%; range, 49-100%). Other feasibility aspects, including time needed for completion, tool availability and costs, availability of instructions, and necessity of training for users, were hardly reported. Reliability was only assessed in three studies, all evaluating the CFS. The interrater reliability varied between 42% and >90% agreement, with a Krippendorff α of 0.27 to 0.41.

CONCLUSION

Feasibility of most instruments was generally high. Other aspects were hardly reported. Reliability was only evaluated for the CFS with results varying from poor to good. The reliability of frailty assessment tools for acute trauma patients needs further critical evaluation to conclude whether assessment leads to trustworthy results that are useful in clinical practice.

LEVEL OF EVIDENCE

Systematic review, Level II.

Increased 30-day mortality in very old ICU patients with COVID-19 compared to patients with respiratory failure without COVID-19

Purpose

The number of patients ≥ 80 years admitted into critical care is increasing. Coronavirus disease 2019 (COVID-19) added another challenge for clinical decisions for both admission and limitation of life-sustaining treatments (LLST). We aimed to compare the characteristics and mortality of very old critically ill patients with or without COVID-19 with a focus on LLST.

Methods

Patients 80 years or older with acute respiratory failure were recruited from the VIP2 and COVIP studies. Baseline patient characteristics, interventions in intensive care unit (ICU) and outcomes (30-day survival) were recorded. COVID patients were matched to non-COVID patients based on the following factors: age (± 2 years), Sequential Organ Failure Assessment (SOFA) score (± 2 points), clinical frailty scale (± 1 point), gender and region on a 1:2 ratio. Specific ICU procedures and LLST were compared between the cohorts by means of cumulative incidence curves taking into account the competing risk of discharge and death.

Results

693 COVID patients were compared to 1393 non-COVID patients. COVID patients were younger, less frail, less severely ill with lower SOFA score, but were treated more often with invasive mechanical ventilation (MV) and had a lower 30-day survival. 404 COVID patients could be matched to 666 non-COVID patients. For COVID patients, withholding and withdrawing of LST were more frequent than for non-COVID and the 30-day survival was almost half compared to non-COVID patients.

Conclusion

Very old COVID patients have a different trajectory than non-COVID patients. Whether this finding is due to a decision policy with more active treatment limitation or to an inherent higher risk of death due to COVID-19 is unclear.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00134-022-06642-z.

The relationship between frailty, nutritional status, co-morbidity, CT-body composition and systemic inflammation in patients with COVID-19

BACKGROUND

Frailty, determined by the Canadian Study of Health and Aging-Clinical Frailty Scale (CFS), is strongly associated with clinical outcomes including mortality in patients with COVID-19. However, the relationship between frailty and other recognised prognostic factors including age, nutritional status, obesity, sarcopenia and systemic inflammation is poorly understood. Therefore, the aim of this study was to examine the relationship between frailty and other prognostic domains, in patients admitted with COVID-19.

METHODS

Patients who presented to our institutions between 1st April 2020-6th July 2020 with confirmed COVID-19 were assessed for inclusion. Data collected included general demographic details, clinicopathological variables, CFS admission assessment, Malnutrition Universal Screening Tool (MUST), CT-BC measurements and markers of systemic inflammation.

RESULTS

106 patients met the study inclusion criteria. The majority of patients were aged ≥ 70 years (67%), male (53%) and frail (scoring > 3 on the CFS, 72%). The majority of patients were not malnourished (MUST 0, 58%), had ≥ 1 co-morbidity (87%), were sarcopenic (low SMI, 80%) and had systemic inflammation (mGPS ≥ 1, 81%, NLR > 5, 55%). On multivariate binary logistics regression analysis, age (p < 0.01), COPD (p < 0.05) and NLR (p < 0.05) remained independently associated with frailty. On univariate binary logistics regression, NLR (p < 0.05) was significantly associated with 30-day mortality.

CONCLUSION

Frailty was independently associated with age, co-morbidity, and systemic inflammation. The basis of the relationship between frailty and clinical outcomes in COVID-19 requires further study. Trial registration Registered with clinicaltrials.gov (NCT04484545).

[Intensive care and Covid]

The health crisis linked to COVID-19 has put the whole hospital under stress. Intensive care units (ICU) have been on the front line to manage the most serious cases. The number of new admissions together with cumulative number of occupied intensive care beds have been and still are a key element in measuring the intensity of the crisis. Intensive care is a specialty largely unknown to the general public which is problematic when dealing with such difficult questions as should we give priority to health or to the economy; is there a loss of chance for non-COVID patients due to deprogramming? The increase in the demand for critical care has necessitated an extension of hospitalization capacities by transforming intermediate care beds into ICU beds, by creating neo-ICU, or in some regions by carrying out critical care, usually performed in ICU, in regular wards. Among the several limiting factors, human resources with qualified personnel was a key element together with the relative shortage of drugs. The mismatch between demand and supply has led to the establishment of rules for prioritizing access to ICU. This review deals with all these issues and can contribute to a reflection on the adaptation of the critical care department to cope with major sanitary crisis.

Clinical frailty scale: Inter-rater reliability of retrospective scoring in emergency abdominal surgery

BACKGROUND

Frailty is a complex syndrome shown to be an independent predictor of morbidity and mortality after surgery in older patients. Frailty scoring may, therefore, be important, for example, for pre-operative risk assessment and prognosis estimation. The Clinical Frailty Scale (CFS) has been developed to help operationalize frailty in the individual patient. However, the inter-rater reliability of retrospective CFS scoring through patient records by health care personnel is currently unknown in patients over 80 years of age undergoing emergency abdominal surgery.

METHODS

Retrospective review of electronic patient journal of 112 patients over 80 years of age undergoing emergency abdominal surgery between 2015 and 2016. Three researchers individually assigned each patient a CFS score. The inter-rater reliability was assessed using Cohen's weighted kappa for the comparison of pairs of assessors, as well as Kendall's coefficient of concordance for the comparison of all three raters simultaneously.

RESULTS

The agreement across raters was strong, with Cohen's kappa values ranging between 0.74 and 0.85 and a Kendall's coefficient of concordance of 0.86.

CONCLUSIONS

The inter-rater reliability of assigned CFS from patient journals seems acceptable. This could permit retrospective research utilizing CFS measures from several raters and across centers.

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.

Association between clinical frailty, illness severity and post-discharge survival: a prospective cohort study of older medical inpatients in Norway

Aim

To assess impact of frailty screening and two markers of illness severity on survival following discharge from the hospital.

Findings

Independently of age, ward (acute geriatric and general medical) and comorbidity, both higher degree of frailty and illness severity associated with reduced survival probability following discharge. The impact of frailty on survival was higher in those experiencing high clinical and laboratory illness severity.

Message

The prognostic value of frailty screening increased when performed in conjunction with two markers of illness severity.

Supplementary Information

The online version contains supplementary material available at 10.1007/s41999-021-00555-8.

Purpose

Study associations between frailty, illness severity and post-discharge survival in older adults admitted to medical wards with acute clinical conditions.

Methods

Prospective cohort study of 195 individuals (mean age 86; 63% females) admitted to two medical wards with acute illness, followed up for all-cause mortality for 20 months after discharge. Ward physicians screened for frailty and quantified its degree from one to eight using Clinical Frailty Scale (CFS), while clinical illness severity was estimated by New Early Warning Score 2 (NEWS2) and laboratory illness severity was calculated by a frailty index (FI-lab) using routine blood tests.

Results

CFS, NEWS2 and FI-lab scores were independently associated with post-discharge survival in an adjusted Cox proportional hazards model with age, ward category (acute geriatric and general medical) and comorbidity as covariates. Adjusted hazard ratios and 95% confidence intervals were 1.54 (1.24–1.91) for CFS, 1.12 (1.03–1.23) for NEWS2, and 1.02 (1.00–1.05) for FI-lab. A frailty × illness severity category interaction effect (p = 0.003), suggested that the impact of frailty on survival was greater in those experiencing higher levels of illness severity. Among patients with at least moderate frailty (CFS six to eight) and high illness severity according to both NEWS2 and FI-lab, two (13%) were alive at follow-up.

Conclusion

Frailty screening aided prognostication of survival following discharge in older acutely ill persons admitted to medical wards. The prognostic value of frailty increased when combined with readily available illness severity markers acquired during admission.

Supplementary Information

The online version contains supplementary material available at 10.1007/s41999-021-00555-8.

Relationship between the Clinical Frailty Scale and short-term mortality in patients ≥ 80 years old acutely admitted to the ICU: a prospective cohort study

Background

The Clinical Frailty Scale (CFS) is frequently used to measure frailty in critically ill adults. There is wide variation in the approach to analysing the relationship between the CFS score and mortality after admission to the ICU. This study aimed to evaluate the influence of modelling approach on the association between the CFS score and short-term mortality and quantify the prognostic value of frailty in this context.

Methods

We analysed data from two multicentre prospective cohort studies which enrolled intensive care unit patients ≥ 80 years old in 26 countries. The primary outcome was mortality within 30-days from admission to the ICU. Logistic regression models for both ICU and 30-day mortality included the CFS score as either a categorical, continuous or dichotomous variable and were adjusted for patient’s age, sex, reason for admission to the ICU, and admission Sequential Organ Failure Assessment score.

Results

The median age in the sample of 7487 consecutive patients was 84 years (IQR 81–87). The highest fraction of new prognostic information from frailty in the context of 30-day mortality was observed when the CFS score was treated as either a categorical variable using all original levels of frailty or a nonlinear continuous variable and was equal to 9% using these modelling approaches (p < 0.001). The relationship between the CFS score and mortality was nonlinear (p < 0.01).

Conclusion

Knowledge about a patient’s frailty status adds a substantial amount of new prognostic information at the moment of admission to the ICU. Arbitrary simplification of the CFS score into fewer groups than originally intended leads to a loss of information and should be avoided.

Trial registration NCT03134807 (VIP1), NCT03370692 (VIP2)

Supplementary Information

The online version contains supplementary material available at 10.1186/s13054-021-03632-3.

Prognostic impact of Clinical Frailty Scale in patients with heart failure with preserved ejection fraction

Aims

Frailty is associated with prognosis of cardiovascular diseases. However, the significance of frailty in patients with heart failure with preserved ejection fraction (HFpEF) remains to be elucidated. The purpose of this study was to examine the prognostic significance of the Clinical Frailty Scale (CFS) in real‐world patients with HFpEF using data from a prospective multicentre observational study of patients with HFpEF (PURSUIT‐HFpEF study).

Method and Results

We classified 842 patients with HFpEF enrolled in the PURSUIT‐HFpEF study into two groups using CFS. The registry enrolled patients hospitalized with a diagnosis of decompensated heart failure. Median age was 82 [interquartile range: 77, 87], and 45% of the patients were male. Of 842 patients, 406 were classified as high CFS (CFS ≥ 4, 48%) and 436 as low CFS (CFS ≤ 3, 52%). The primary endpoint was the composite of all‐cause mortality and heart failure admission. Secondary endpoints were all‐cause mortality and heart failure admission. Patients with high CFS were older (85 vs. 79 years, P < 0.001), predominantly female (65% vs. 46%, P < 0.001) and more likely to have New York Heart Association (NYHA) ≥ 2 (75% vs. 53%, P < 0.001) and a higher level of NT‐proBNP (1360 vs 838 pg/mL, P < 0.001) than those with low CFS. Patients with high CFS had a significantly greater risk of composite endpoint (Kaplan–Meier estimated 1‐year event rate 39% vs. 23%, log‐rank P < 0.001), all‐cause mortality (Kaplan–Meier estimated 1‐year event rate 17% vs. 7%, log‐rank P < 0.001) and heart failure admission (Kaplan–Meier estimated 1‐year event rate 28% vs. 19%, log‐rank P = 0.002) than those with low CFS. Multivariable Cox regression analysis revealed that high CFS was significantly associated with composite endpoint (adjusted HR 1.92, 95% CI 1.35–2.73, P < 0.001), all‐cause mortality (adjusted HR 2.54, 95% CI 1.39–4.66, P = 0.003) and heart failure admission (adjusted HR 1.55, 95% CI 1.03–2.32, P = 0.035) even after adjustment for covariates. Moreover, change in CFS grade was also significantly associated with composite endpoint (adjusted HR 1.23, 95% CI 1.11–1.36, P < 0.001), all‐cause mortality (adjusted HR 1.32, 95% CI 1.13–1.55, P = 0.001) and heart failure admission (adjusted HR 1.15, 95% CI 1.02–1.30, P = 0.021).

Conclusions

Frailty assessed by the CFS was associated with poor prognosis in patients with HFpEF.

Age as Maestro or Solo Instrument in Opera of Death

How to cite this article: Zirpe KG, Nimavat BD, Gurav SK. Age as Maestro or Solo Instrument in Opera of Death. Indian J Crit Care Med 2021;25(6):606-607.