Clinical Frailty Scale (CFS) reliably stratifies octogenarians in German ICUs: a multicentre prospective cohort study

Evaluation and Application of Frailty Index in Colorectal Cancer: A Comprehensive Review

Colorectal cancer (CRC) is a common malignant tumor that primarily affects the elderly population. Surgery is one of the main treatment modalities for CRC. Frailty is a prevalent characteristic among the elderly and a leading cause of mortality. The frailty index (FI) is a comprehensive tool for assessing patients' frailty status, quantifying indicators such as weight loss, fatigue, and nutritional status, to reflect the degree of frailty. In recent years, the FI has undergone modifications to more accurately evaluate the risk of surgical complications and prognosis in CRC patients. This review summarizes the methods for frailty assessment, the development and modifications of the FI, and compiles the research findings and applications of the FI in predicting surgical complications, postoperative recovery, and survival rates in CRC patients. Furthermore, limitations in the current modified frailty index (mFI) and future research directions are discussed. This review provides essential references for further understanding the role of frailty in CRC patients and the clinical application of the mFI.

Prevention at home in older persons with (pre-)frailty: analysis of participants' recruitment and characteristics of the randomized controlled PromeTheus trial

BACKGROUND

The "PromeTheus" trial is evaluating a home-based, multifactorial, interdisciplinary prevention program for community-dwelling (pre-)frail older adults. These individuals often suffer from reduced participation, which can complicate the recruitment and enrollment in a clinical trial.

AIMS

The aim of this study was to evaluate different recruitment strategies and differences in participant characteristics in relation to these strategies.

METHODS

This cross-sectional study used baseline data from the randomized-controlled PromeTheus trial, in which community-dwelling (pre-)frail older persons (Clinical Frailty Scale [CFS] 4-6 pt., ≥ 70 years) were recruited via general practitioners ("GP recruitment") or flyers, newspaper articles, and personalized letters ("direct recruitment"). Differences in the sociodemographic, clinical, physical, functional, mobility-related, psychological and social characteristics were analyzed in relation to the recruitment strategy.

RESULTS

A total of 385 participants (mean age = 81.2, SD 5.9 years; women: n = 283, 73.5%) were enrolled, of which 60 (16%) were recruited by GPs and 325 (84%) through direct recruitment. Participants recruited via GPs had significantly higher subjective frailty levels (CFS), were more often physically frail (Fried Frailty Phenotype), and showed lower physical capacity (Short Physical Performance Battery), participation (disability component of the short version of the Late-Life Function and Disability Instrument), and life-space mobility (Life-Space Assessment) compared to those recruited via the direct approach (p = 0.002-0.026). Costs per randomized participant were 94€ for the GP recruitment strategy and €213 for the direct recruitment strategy.

CONCLUSION

Different strategies may be required to successfully recruit (pre-)frail home-living older adults into preventive programs. Direct recruitment strategies, in which potential participants are directly informed about the prevention program, seem to be more promising than GP recruitment but may result in enrolment of persons with less functional impairment and higher recruitment costs.

TRIAL REGISTRATION

German Clinical Trials Register, DRKS00024638. Registered on March 11, 2021.

Predictors of outcomes of patients ≥ 80 years old admitted to intensive care units in Poland - a post-hoc analysis of the VIP2 prospective observational study

INTRODUCTION

Elderly patients pose a significant challenge to intensive care unit (ICU) clinicians. In this study we attempted to characterise the population of patients over 80 years old admitted to ICUs in Poland and identify associations between clinical features and short-term outcomes.

MATERIAL AND METHODS

The study is a post-hoc analysis of the Polish cohort of the VIP2 European prospective observational study enrolling patients > 80 years old admitted to ICUs over a 6-month period. Data including clinical features, clinical frailty scale (CFS), geriatric scales, interventions within the ICU, and outcomes (30-day and ICU mortality and length of stay) were gathered. Univariate analyses comparing frail (CFS > 4) to non-frail patients and survivors to non-survivors were performed. Multivariable models with CFS, activities of daily living score (ADL), and the cognitive decline questionnaire IQCODE as predictors and ICU or 30-day mortality as outcomes were formed.

RESULTS

A total of 371 patients from 27 ICUs were enrolled. Frail patients had significantly higher ICU (58% vs. 44.45%, P = 0.03) and 30-day (65.61% vs. 54.14%, P = 0.01) mortality compared to non-frail counterparts. The survivors had significantly lower SOFA score, CFS, ADL, and IQCODE than non-survivors. In multivariable analysis CFS (OR 1.15, 95% CI: 1.00-1.34) and SOFA score (OR 1.29, 95% CI: 1.19-1.41) were identified as significant predictors for ICU mortality; however, CFS was not a predictor for 30-day mortality ( P = 0.07). No statistical significance was found for ADL, IQCODE, polypharmacy, or comorbidities.

CONCLUSIONS

We found a positive correlation between CFS and ICU mortality, which might point to the value of assessing the score for every patient admitted to the ICU. The older Polish ICU patients were characterised by higher mortality compared to the other European countries.

Differences in directives to limit treatment and discontinue mechanical ventilation between elderly and very elderly patients: a substudy of a multinational observational study

PURPOSE

The aim of this study was to characterize differences in directives to limit treatments and discontinue invasive mechanical ventilation (IMV) in elderly (65-80 years) and very elderly (> 80 years) intensive care unit (ICU) patients.

METHODS

We prospectively described new written orders to limit treatments, IMV discontinuation strategies [direct extubation, direct tracheostomy, spontaneous breathing trial (SBT), noninvasive ventilation (NIV) use], and associations between initial failed SBT and outcomes in 142 ICUs from 6 regions (Canada, India, United Kingdom, Europe, Australia/New Zealand, United States).

RESULTS

We evaluated 788 (586 elderly; 202 very elderly) patients. Very elderly (vs. elderly) patients had similar withdrawal orders but significantly more withholding orders, especially cardiopulmonary resuscitation and dialysis, after ICU admission [67 (33.2%) vs. 128 (21.9%); p = 0.002]. Orders to withhold reintubation were written sooner in very elderly (vs. elderly) patients [4 (2-8) vs. 7 (4-13) days, p = 0.02]. Very elderly and elderly patients had similar rates of direct extubation [39 (19.3%) vs. 113 (19.3%)], direct tracheostomy [10 (5%) vs. 40 (6.8%)], initial SBT [105 (52%) vs. 302 (51.5%)] and initial successful SBT [84 (80%) vs. 245 (81.1%)]. Very elderly patients experienced similar ICU outcomes (mortality, length of stay, duration of ventilation) but higher hospital mortality [26 (12.9%) vs. 38 (6.5%)]. Direct tracheostomy and initial failed SBT were associated with worse outcomes. Regional differences existed in withholding orders at ICU admission and in withholding and withdrawal orders after ICU admission.

CONCLUSIONS

Very elderly (vs. elderly) patients had more orders to withhold treatments after ICU admission and higher hospital mortality, but similar ICU outcomes and IMV discontinuation. Significant regional differences existed in withholding and withdrawal practices.

The clinical frailty scale - does it predict outcome of the very-old in UK ICUs?

Introduction

The age of patients admitted into critical care in the UK is increasing. Clinical decisions for very-old patients, usually defined as over 80, can be challenging. Clinicians are frequently asked to predict outcomes as part of discussions around the pros and cons of an intensive care unit (ICU) admission. Measures of overall health in old age, such as the clinical frailty scale (CFS), are increasingly used to help guide these discussions. We aimed to understand the characteristics of the very-old critically unwell population in the UK and the associations between frailty and outcome of an ICU admission in our healthcare system (National Health Service, NHS).

Methods

Baseline characteristics, ICU interventions and outcomes (ICU- and 30-day mortality) were recorded for sequential admissions of very old patients to UK ICUs as part of the European VIP 1 and 2 studies. Patient characteristics, interventions and outcome measures were compared by frailty group using standard statistical tests. Multivariable logistic regression modelling was undertaken to test association between baseline characteristics, admission type and outcome.

Results

1858 participants were enrolled from 95 ICUs in the UK. The median age was 83. The median CFS was 4 (IQR 3-5). 30-day survival was significantly lower in the frail group (CFS > 4, 58%) compared to vulnerable (CFS = 4, 65%) and fit (CFS < 4 68%, p = .004). Sequential organ failure assessment (SOFA) score, reason for admission and CFS were all independently associated with increased 30-day mortality (p < .01).

Conclusion

In the UK, frailty is associated with an increase in mortality at 30-days following an ICU admission. At moderate frailty (CFS 5-6), three out of every five patients admitted survived to 30-days. This is a similar mortality to septic shock.

Impact of frailty on long-term mortality in older patients receiving intensive care via the emergency department

The aim of this study was to evaluate whether frailty was associated with 6-month mortality in older adults who were admitted to the intensive care unit (ICU) with an illness requiring emergency care. The investigation was a prospective, multi-center, observational study conducted among the ICUs of 17 participating hospitals. Patients ≥ 65 years of age who were admitted to the ICU directly from an emergency department visit were assessed to determine their baseline Clinical Frailty Scale (CFS) scores before the illness and were surveyed 6 months after admission. Among 650 patients included in the study, the median age was 79 years old, and overall mortality at 6 months was as low as 21%, ranging from 6.2% in patients with CFS 1 to 42.9% in patients with CFS ≥ 7. When adjusted for potential confounders, CFS score was an independent prognostic factor for mortality (one-point increase in CFS, adjusted risk ratio with 95% confidence interval 1.19 [1.09-1.30]). Quality of life 6 months after admission worsened as baseline CFS score increased. However, there was no association between total hospitalization cost and baseline CFS. CFS is an important predictor of long-term outcomes among critically ill older patients requiring emergent admission.

Factors influencing conveyance of older adults with minor head injury by paramedics to the emergency department: a multiple methods study

BACKGROUND

Head injury (HI) in older adults due to low-energy falls result in a substantial number of emergency department (ED) attendances. However, mortality associated with minor HI is very low. Reducing conveyance to hospital is important for older adults and is a priority for the National Health Service (NHS). Therefore, paramedics are required to make accurate decisions regarding conveyance to the ED. This study used routine data and semi-structured interviews to explore the factors that influence paramedic decision-making when considering whether to convey an adult aged 65 years and over with a minor HI to the ED.

METHODS

Semi-structured telephone interviews were completed with ten UK paramedics from a single EMS (ambulance) provider organisation. Interviews explored the factors influencing the paramedics' conveyance decision-making in adults aged 65 years and over with a minor HI. Data were initially analysed inductively to develop a thematic framework. A retrospective analysis of ambulance service data was also completed to determine the scope and scale of the issue in Southwest England. An in-depth audit of 100 conveyed patient records was used to determine the proportion of patients conveyed to the ED who met National Institute for Health and Care Excellence (NICE) and Joint Royal Colleges Ambulance Liaison Committee (JRCALC) guidelines.

RESULTS

In 2019 South Western Ambulance Service NHS Foundation Trust (SWASFT) attended 15,650 emergency calls to patients aged 65 and over with minor HI, with 70.5% conveyed to ED. 81% of conveyed patients met NICE and JRCALC guideline criteria for conveyance, with the remainder conveyed due to wound care or other medical concerns. The framework developed from the interviews comprised four themes: resources; patient factors; consequences; paramedic factors. Important factors included: the patient's social situation; guidelines; clinical support availability; the history and presentation of the patient; risk.

CONCLUSION

This study examined paramedic conveyance decisions for older people with minor HI. It identified multiple influencing factors, highlighting the complex nature of these decisions, and may serve as a basis for developing an intervention to safely decrease ED conveyance in this patient group.

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.

In-hospital end-of-life care in the old: a retrospective study of intensive care unit use and do-not-resuscitate forms in patients deceased in a Belgian university hospital

OBJECTIVES

To explore the quality of in-hospital end-of-life care in adult patients with special attention to those 75 years and older and to make a comparison with the situation 10 years ago.

METHODS

Data were retrospectively collected on adult patients who deceased at Ghent University Hospital between September 2018 and December 2019. The main outcome measures were 'ICU use' and 'presence of DNR forms on non-ICU units' in the final hospitalization. In order to identify possible risk factors for ICU use, logistic regression was performed.

RESULTS

In total, 762 people died, of whom 35% were 75 or older. Just as 10 years ago, one-third (31%) died in the ICU versus 49% of those younger than 75 years (p < 0.001). Of people ≥75 years, 38%, compared to 42% 10 years ago, received an ICU treatment during their final hospitalization. The median length of an ICU stay was 4 versus 3 days 10 years ago. After adjusting for gender, comorbidities and the Charlson Comorbidity Index, factors associated with less ICU use were higher age, active malignancy and dementia (OR 0.838, 0.116 and 0.098 respectively). Seventy-nine percent of older patients on non-ICU wards died with a DNR form (versus 87% 10 years ago).

CONCLUSION

Although there was an increase in the presence of DNR forms in the final hospitalization, no significant differences were seen in actual ICU use compared to 10 years ago. Factors associated with less ICU use were higher age, active malignancy and dementia.

Sex Difference in Control of Low-Density Lipoprotein Cholesterol in Older Patients after Acute Coronary Syndrome

Objective. The main aim of this study is to examine the achievement of low-density lipoprotein cholesterol (LDL-C) targets in older patients after acute coronary syndrome (ACS), and the secondary aim is to examine sex difference in LDL-C target achievement. Methods. Patients aged ≥60 years with ACS admitted to a tertiary hospital in Vietnam were recruited from December 2019 to August 2020. LDL-C target achievement was defined as having an LDL-C goal of <1.8 mmol/L. Multivariate logistic regression was applied to investigate the predictive factors for LDL-C target achievement. Results. A total of 232 participants were included in this study (mean age 75.5 years, 40.1% were women). Participants had an average of three chronic conditions other than coronary heart disease. All participants were prescribed statin monotherapy at discharge (59.5% on high-intensity statins). After 3 months, 218 (94.0%) of the participants were on statin monotherapy, 14 (6.0%) were on statin combined with ezetimibe. The proportion of participants that achieved LDL-C target after 3 months was 56.5% (40.9% in women and 66.9% in men, p < 0.001). On univariate logistic regression, women were less likely to achieve their LDL-C target compared to men (unadjusted OR 0.34, 95% CI 0.20−0.59). This association was still significant in the adjusted model (adjusted OR 0.43, 95% CI 0.24−0.78). Other factors that were significantly associated with LDL-C target achievement included age, smoking, sedentary lifestyle, LDL-C level on admission, history of using statin before admission, and high-intensity statin prescribed at discharge. Conclusions. Our study found that nearly a half of older patients with ACS did not achieve their LDL-C target after 3 months, and suboptimal control of LDL-C was more common in women.

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.

Evaluating frailty may complement APACHE II in estimating mortality in elderly patients admitted to the ICU after digestive surgery

OBJECTIVE

To analyze whether frailty can improve the prediction of mortality in patients admitted to the ICU after digestive surgery.

DESIGN

Prospective, observational, 6-month follow-up study of a cohort of patients admitted to the ICU between June 1, 2018, and June 1, 2019.

SETTING

Surgical ICU of a third level hospital.

PATIENTS

Series of successive patients older than 70 years who were admitted to the ICU immediately after a surgical intervention on the digestive system. 92 patients were included and 2 were excluded due to loss of follow-up at 6 months.

INTERVENTIONS

Upon admission to the ICU, severity and prognosis were assessed by APACHE II, and fragility by the Clinical Frailty Scale and the modified Frailty Index.

MAIN VARIABLES OF INTEREST

ICU, in-hospital and 6-month mortality.

RESULTS

The model that best predicts mortality in the ICU is the APACHE II, with an area under the ROC curve (AUC) of 0.89 and a good calibration. The model that combines APACHE II and Clinical Frailty Scale is the one that best predicts in-hospital mortality (AUC: 0.82), significantly improving the prediction of isolated APACHE II (AUC: 0.78; Integrated Discrimination Index: 0.04). Frailty is a predictor of mortality at 6 months, being the model that combines Clinical Frailty Scale and Frailty Index the one that has shown the greatest discrimination (AUC: 0.84).

CONCLUSIONS

Frailty can complement APACHE II by improving its prediction of hospital mortality. Furthermore, it offers a good prediction of mortality 6 months after surgery. For mortality in ICU, frailty loses its predictive power, whereas isolated APACHE II shows excellent predictive capacity.

Which Frailty Evaluation Method Can Better Improve the Predictive Ability of the SASA for Postoperative Complications of Patients Undergoing Elective Abdominal Surgery?

Purpose

To determine which frailty method can better improve the predictive ability of the Surgical Apgar Score combined with American Society of Anesthesiologists physical status classification (SASA).

Patients and Methods

A prospective cohort study was conducted. A total of 194 elderly patients undergoing elective abdominal surgery were included. Preoperative frailty using FRAIL questionnaire, frailty index (FI), Clinical Frailty Scale (CFS) and SASA scores was assessed. Primary outcome was in-hospital Clavien-Dindo ≥grade II complications. Multiple logistic regression was used to examine the association between frailty and complications. Receiver operating characteristic curves were used to explore the predictive ability of frailty.

Results

According to the FRAIL, FI and CFS criteria, the prevalence of frailty in the study population was 43.8%, 32.5%, and 36.6%, respectively. After adjusting for all covariates, frailty was significantly associated with postoperative complications in hospital by FRAIL [odds ratio: 5.11, 95% CI: 1.41–18.44, P = 0.013], by FI [OR: 4.25, 95% CI: 1.21–14.90, P = 0.024] and by CFS [OR: 5.10, 95% CI: 1.52–17.17, P = 0.008]. The area under the curve (AUC) for SASA was 0.768 (95% CI: 0.702–0.826). Addition of frailty assessment (FRAIL, FI and CFS) increased the AUC to 0.787 (95% CI: 0.722–0.842), 0.798 (95% CI: 0.734–0.852), and 0.815 (95% CI: 0.753–0.867), respectively. Compared to SASA, only addition of CFS had a significant difference (P = 0.0478).

Conclusion

Frailty is an effective predictor of postoperative complications in elderly Chinese patients undergoing elective abdominal surgery. Frailty assessment of CFS can better improve the predictive ability of SASA.

The Clinical Frailty Scale as useful tool in patients with brain metastases

PURPOSE

The Clinical Frailty Scale (CFS) evaluates patients' level of frailty on a scale from 1 to 9 and is commonly used in geriatric medicine, intensive care and orthopedics. The aim of our study was to reveal whether the CFS allows a reliable prediction of overall survival (OS) in patients after surgical treatment of brain metastases (BM) compared to the Karnofsky Performance Score (KPS).

METHODS

Patients operated for BM were included. CFS and KPS were retrospectively assessed pre- and postoperatively and at follow-up 3-6 months after resection.

RESULTS

205 patients with a follow-up of 22.8 months (95% CI 18.4-27.1) were evaluated. CFS showed a median of 3 ("managing well"; IqR 2-4) at all 3 assessment-points. Median KPS was 80 preoperatively (IqR 80-90) and 90 postoperatively (IqR 80-100) as well as at follow-up after 3-6 months. CFS correlated with KPS both preoperatively (r = - 0.92; p < 0.001), postoperatively (r = - 0.85; p < 0.001) and at follow-up (r = - 0.93; p < 0.001). The CFS predicted the expected reduction of OS more reliably than the KPS at all 3 assessments. A one-point increase (worsening) of the preoperative CFS translated into a 30% additional hazard to decease (HR 1.30, 95% CI 1.15-1.46; p < 0.001). A one-point increase in postoperative and at follow-up CFS represents a 39% (HR 1.39, 95% CI 1.25-1.54; p < 0.001) and of 42% risk (HR 1.42, 95% CI 1.27-1.59; p < 0.001).

CONCLUSION

The CFS is a feasible, simple and reliable scoring system in patients undergoing resection of brain metastasis. The CFS 3-6 months after surgery specifies the expected OS more accurately than the KPS.

Clinical frailty scale as a predictor of disease severity in patients hospitalised with COVID-19 - an observational cohort study

BACKGROUND

The coronavirus disease 2019 pandemic makes proper resource allocation and prioritisation important. Frailty increases the risk of adverse outcomes and can be quantified using the Clinical frailty scale. The aim of this study was to determine the role of the Clinical frailty scale, in patients ≥65 years of age with coronavirus disease 2019, as a risk factor either for critical coronavirus disease 2019 measured as intensive care unit admission or death or as a risk factor for death.

METHODS

This was a retrospective observational study on patients ≥65 years hospitalised with coronavirus disease 2019 verified by polymerase chain reaction between 5 March 5 and 5 July 2020. The association between Clinical frailty scale and the composite primary outcome intensive care unit admission or death within 30 days post hospitalisation and the secondary outcome death within 30 days post hospitalisation was analysed using multivariable logistic regression models adjusting for gender, age, body mass index, hypertension, and diabetes. Clinical frailty scale was used as a categorical variable (fit score 1-4, frail score 5-6, and severely frail score 7-9).

RESULTS

In total, 169 patients were included (47.3% women, mean age 79.2 ± 7.8 years). In the fully adjusted model, adjusted odds ratio for intensive care unit admission or death was 1.84 (95%-confidence interval 0.67-5.03, p = .234) for frail and 6.08 (1.70-21.81, p = .006) for severely frail compared to fit patients. For death, adjusted odds ratio was 2.81 (0.89-8.88, p = .079) for frail and 9.82 (2.53-38.10, p = .001) for severely frail compared to fit patients.

CONCLUSIONS

A high Clinical frailty scale score was an independent risk factor for the composite outcome intensive care unit admission or death and for the secondary outcome death.

[Palliative care for patients over 80 years old with COVID‑19 pneumonia on the intensive care unit-Is invasive ventilation effective?]

In February 2020 a new virus named-SARS-CoV‑2 emerged. As a result many patients suffered from COVID‑19-associated pneumonia and were in need of hospitalization in an intensive care unit (ICU). Especially at the beginning of this pandemic the mortality among intubated patients was very high. With ongoing experience in how to handle COVID‑19-associated respiratory insufficiency the mortality rate was reduced but is still high among older patients. In this case report it is discussed if validated scores can support the decision between intubating patients or providing best supportive care.

The Functional Trajectory in Frail Compared With Non-frail Critically Ill Patients During the Hospital Stay

Background: Long-term outcome is determined not only by the acute critical illness but increasingly by the reduced functional reserve of pre-existing frailty. The patients with frailty currently account for one-third of the critically ill, resulting in higher mortality. There is evidence of how frailty affects the intrahospital functional trajectory of critically ill patients since prehospital status is often missing.

Methods: In this prospective single-center cohort study at two interdisciplinary intensive care units (ICUs) at a university hospital in Germany, the frailty was assessed using the Clinical Frailty Scale (CFS) in the adult patients with critical illness with an ICU stay >24 h. The functional status was assessed using the sum of the subdomains “Mobility” and “Transfer” of the Barthel Index (MTB) at three time points (pre-hospital, ICU discharge, and hospital discharge).

Results: We included 1,172 patients with a median age of 75 years, of which 290 patients (25%) were frail. In a propensity score-matched cohort, the probability of MTB deterioration till hospital discharge did not differ in the patients with frailty (odds ratio (OR) 1.3 [95% CI 0.8–1.9], p = 0.301), confirmed in several sensitivity analyses in all the patients and survivors only.

Conclusion: The patients with frailty have a reduced functional status. Their intrahospital functional trajectory, however, was not worse than those in non-frail patients, suggesting a rehabilitation potential of function in critically ill patients with frailty.

Frailty Triage: Is Rationing Intensive Medical Treatment on the Grounds of Frailty Ethical?

In early 2020, a number of countries developed and published intensive care triage guidelines for the pandemic. Several of those guidelines, especially in the UK, encouraged the explicit assessment of clinical frailty as part of triage. Frailty is relevant to resource allocation in at least three separate ways, through its impact on probability of survival, longevity and quality of life (though not a fourth-length of intensive care stay). I review and reject claims that frailty-based triage would represent unjust discrimination on the grounds of age or disability. I outline three important steps to improve the ethical incorporation of frailty into triage. Triage criteria (ie frailty) should be assessed consistently in all patients referred to the intensive care unit. Guidelines must make explicit the ethical basis for the triage decision. This can then be applied, using the concept of triage equivalence, to other (non-frail) patients referred to intensive care.

Management and outcomes in critically ill nonagenarian versus octogenarian patients

Background

Intensive care unit (ICU) patients age 90 years or older represent a growing subgroup and place a huge financial burden on health care resources despite the benefit being unclear. This leads to ethical problems. The present investigation assessed the differences in outcome between nonagenarian and octogenarian ICU patients.

Methods

We included 7900 acutely admitted older critically ill patients from two large, multinational studies. The primary outcome was 30-day-mortality, and the secondary outcome was ICU-mortality. Baseline characteristics consisted of frailty assessed by the Clinical Frailty Scale (CFS), ICU-management, and outcomes were compared between octogenarian (80–89.9 years) and nonagenarian (> 90 years) patients. We used multilevel logistic regression to evaluate differences between octogenarians and nonagenarians.

Results

The nonagenarians were 10% of the entire cohort. They experienced a higher percentage of frailty (58% vs 42%; p < 0.001), but lower SOFA scores at admission (6 + 5 vs. 7 + 6; p < 0.001). ICU-management strategies were different. Octogenarians required higher rates of organ support and nonagenarians received higher rates of life-sustaining treatment limitations (40% vs. 33%; p < 0.001). ICU mortality was comparable (27% vs. 27%; p = 0.973) but a higher 30-day-mortality (45% vs. 40%; p = 0.029) was seen in the nonagenarians. After multivariable adjustment nonagenarians had no significantly increased risk for 30-day-mortality (aOR 1.25 (95% CI 0.90–1.74; p = 0.19)).

Conclusion

After adjustment for confounders, nonagenarians demonstrated no higher 30-day mortality than octogenarian patients. In this study, being age 90 years or more is no particular risk factor for an adverse outcome. This should be considered– together with illness severity and pre-existing functional capacity - to effectively guide triage decisions.

Trial registration

NCT03134807 and NCT03370692.

Evaluation of a hypothetical decision-support tool for intensive care triage of patients with coronavirus disease 2019 (COVID-19)

Background: At the start of the coronavirus disease 2019 (COVID-19) pandemic there was widespread concern about potentially overwhelming demand for intensive care and the need for intensive care unit (ICU) triage. In March 2020, a draft United Kingdom (UK) guideline proposed a decision-support tool (DST). We sought to evaluate the accuracy of the tool in patients with COVID-19. Methods: We retrospectively identified patients in two groups: referred and not referred to intensive care in a single UK national health service (NHS) trust in April 2020. Age, Clinical Frailty Scale score (CFS), and co-morbidities were collected from patients’ records and recorded, along with ceilings of treatment and outcome. We compared the DST, CFS, and age alone as predictors of mortality, and treatment ceiling decisions. Results: In total, 151 patients were included in the analysis, with 75 in the ICU and 76 in the non-ICU-reviewed groups. Age, clinical frailty and DST score were each associated with increased mortality and higher likelihood of treatment limitation (p-values all <.001). A DST cut-off score of >8 had 65% (95% confidence interval (CI) 51%-79%) sensitivity and 63% (95% CI 54%-72%) specificity for predicting mortality. It had a sensitivity of 80% (70%-88%) and specificity of 96% (95% CI 90%-100%) for predicting treatment limitation. The DST was more discriminative than age alone (p<0.001), and potentially more discriminative than CFS (p=0.08) for predicting treatment ceiling decisions. Conclusions: During the first wave of the COVID-19 pandemic, in a hospital without severe resource limitations, a hypothetical decision support tool was limited in its predictive value for mortality, but appeared to be sensitive and specific for predicting treatment limitation.

Frailty is associated with poor prognosis after resection for pancreatic cancer

BACKGROUND

With population aging, the number of frail patients with pancreatic cancer has increased. The Clinical Frailty Scale (CFS) is a simple and validated tool to assess frailty, and higher scores predict worse clinical outcomes after cardiovascular surgery. In this retrospective study, we aimed to examine the association of preoperative frailty with prognosis after resection for pancreatic cancer.

METHODS

We retrospectively analyzed data from 142 consecutive patients undergoing resection for pancreatic cancer between April 2010 and December 2018. We used the CFS: 1 (very fit) to 9 (terminally ill) to assess frailty and examined associations of the CFS scores with recurrence-free survival (RFS), cancer-specific survival (CSS), and overall survival (OS). Multivariable Cox proportional hazards models were used to calculate hazard ratios (HRs), controlling for potential confounders.

RESULTS

Of the 142 patients, 113 (80%) had CFS scores of ≤ 3, 13 (9.2%) scores of 4, and 16 (11%) scores of ≥ 5. Scores of ≥ 5 on the CFS were associated with worse CSS (univariable HR: 2.62, 95% confidence interval [CI]: 1.19-5.18, P = 0.019; multivariable HR: 2.49, 95% CI 1.05-5.34, P = 0.039) and OS (univariable HR: 2.42, 95% CI 1.19-4.46, P = 0.016; multivariable HR: 2.25, 95% CI 1.05-4.43, P = 0.038). The association between CFS scores and RFS was not significant in multivariable analysis (univariable HR: 2.11, 95% CI 1.08-3.79, P = 0.030; multivariable HR: 1.47, 95% CI 0.71-2.83, P = 0.29).

CONCLUSION

Higher scores on the CFS are associated with worse CSS and OS after resection for pancreatic cancer. Preoperative measurement of frailty may improve risk assessment among patients with pancreatic cancer.

Validation of the revised 9-scale clinical frailty scale (CFS) in Greek language

BACKGROUND

Among many screening tools that have been developed to detect frailty in older adults, Clinical Frailty Scale (CFS) is a valid, reliable and easy-to-use tool that has been translated in several languages. The aim of this study was to develop a valid and reliable version of the CFS to the Greek language.

METHODS

A Greek version was obtained by translation (English to Greek) and back translation (Greek to English). The "known-group" construct validity of the CFS was determined by using test for trends. Criterion concurrent validity was assessed by evaluating the extent that CFS relates to Barthel Index, using Pearson's correlation coefficient. Both inter-rater and test-retest reliability were assessed using intraclass correlation coefficient.

RESULTS

Known groups comparison supports the construct validity of the CFS. The strong negative correlation between CFS and Barthel Index (rs = - 0,725, p ≤ 0.001), supports the criterion concurrent validity of the instrument. The intraclass correlation was good for both inter-rater (0.87, 95%CI: 0.82-0.90) and test-retest reliability (0.89: 95%CI: 0.85-0.92).

CONCLUSION

The Greek version of the CFS is a valid and reliable instrument for the identification of frailty in the Greek population.

Provision of critical care for the elderly in Europe: a retrospective comparison of national healthcare frameworks in intensive care units

OBJECTIVES

In Europe, there is a distinction between two different healthcare organisation systems, the tax-based healthcare system (THS) and the social health insurance system (SHI). Our aim was to investigate whether the characteristics, treatment and mortality of older, critically ill patients in the intensive care unit (ICU) differed between THS and SHI.

SETTING

ICUs in 16 European countries.

PARTICIPANTS

In total, 7817 critically ill older (≥80 years) patients were included in this study, 4941 in THS and 2876 in the SHI systems.

PRIMARY AND SECONDARY OUTCOMES MEASURES

We chose generalised estimation equations with robust standard errors to produce population average adjusted OR (aOR). We adjusted for patient-specific variables, health economic data, including gross domestic product (GDP) and human development index (HDI), and treatment strategies.

RESULTS

In SHI systems, there were higher rates of frail patients (Clinical Frailty Scale>4; 46% vs 41%; p<0.001), longer length of ICU stays (90±162 vs 72±134 hours; p<0.001) and increased levels of organ support. The ICU mortality (aOR 1.50, 95% CI 1.09 to 2.06; p=0.01) was consistently higher in the SHI; however, the 30-day mortality (aOR 0.89, 95% CI 0.66 to 1.21; p=0.47) was similar between THS and SHI. In a sensitivity analysis stratifying for the health economic data, the 30-day mortality was higher in SHI, in low GDP per capita (aOR 2.17, 95% CI 1.42 to 3.58) and low HDI (aOR 1.22, 95% CI 1.64 to 2.20) settings.

CONCLUSIONS

The 30-day mortality was similar in both systems. Patients in SHI were older, sicker and frailer at baseline, which could be interpreted as a sign for a more liberal admission policy in SHI. We believe that the observed trend towards ICU excess mortality in SHI results mainly from a more liberal admission policy and an increase in treatment limitations.

TRIAL REGISTRATION NUMBERS

NCT03134807 and NCT03370692.

Propensity-Adjusted Comparison of Mortality of Elderly Versus Very Elderly Ventilated Patients

BACKGROUND

The growing proportion of elderly intensive care patients constitutes a public health challenge. The benefit of critical care in these patients remains unclear. We compared outcomes in elderly versus very elderly subjects receiving mechanical ventilation.

METHODS

In total, 5,557 mechanically ventilated subjects were included in our post hoc retrospective analysis, a subgroup of the VENTILA study. We divided the cohort into 2 subgroups on the basis of age: very elderly subjects (age ≥ 80 y; n = 1,430), and elderly subjects (age 65-79 y; n = 4,127). A propensity score on being very elderly was calculated. Evaluation of associations with 28-d mortality was done with logistic regression analysis.

RESULTS

Very elderly subjects were clinically sicker as expressed by higher SAPS II scores (53 ± 18 vs 50 ± 18, P < .001), and their rates of plateau pressure < 30 cm H₂O were higher, whereas other parameters did not differ. The 28-d mortality was higher in very elderly subjects (42% vs 34%, P < .001) and remained unchanged after propensity score adjustment (adjusted odds ratio 1.31 [95% CI 1.16-1.49], P < .001).

CONCLUSIONS

Age was an independent and unchangeable risk factor for death in mechanically ventilated subjects. However, survival rates of very elderly subjects were > 50%. Denial of critical care based solely on age is not justified. (ClinicalTrials.gov registration NCT02731898.).

Age, Frailty, Resuscitation and Intensive Care: With Reference to COVID-19

Discussion regarding cardiopulmonary resuscitation and admission to an intensive care unit is frequently fraught in the context of older age. It is complicated by the fact that the presence of multiple comorbidities and frailty adversely impact on prognosis. Cardiopulmonary resuscitation and mechanical ventilation are not appropriate for all. Who decides and how? This paper discusses the issues, biases, and potential harms involved in decision-making. The basis of decision making requires fairness in the distribution of resources/healthcare (distributive justice), yet much of the printed guidance has taken a utilitarian approach (getting the most from the resource provided). The challenge is to provide a balance between justice for the individual and population justice.

Impact of age in critically Ill infected patients: a post-hoc analysis of the INFAUCI study

PURPOSE

Older patients are the fastest expanding subgroup of intensive care units (ICU) and are particularly susceptible to bacterial infections and sepsis. The aim of this study was to address the epidemiology and the main determinants of outcome of infection in old and very old patients admitted to ICU.

METHODS

We performed a post hoc analysis of all infected patients admitted to ICU enrolled in a 1-year prospective, observational, multipurpose study. Patients aged < 65, 65-74 and ≥ 75 years were compared.

RESULTS

Of the 1652 patients included, 50% were older than 65 years. There were no significant differences between young, old and very old patients in either ICU, hospital length of stay, or nosocomial infection. All-cause mortality was significantly higher in participants aged ≥ 75. Increased Gram-negative microorganisms' isolates occurred in > 65 years (25% versus 31%; p = 0.034). Multidrug-resistant (MDR) microorganisms were directly associated to inappropriate empiric antibiotic therapy (OR 4.73; 95% CI 2.99-7.47) and inversely associated with community-acquired infection (OR 0.39; 95% CI 0.19-0.83). Age (65-74 years: OR 1.10; 95% CI 0.64-1.90 and ≥ 75 years: OR 1.52; 95% CI 0.89-2.59) and sepsis severity (sepsis: OR 0.67; 95% CI 0.18-2.46; severe sepsis: OR 1.17; 95% CI 0.40-3.44; septic shock: OR 0.77; 95% CI 0.27-2.24) were not associated to MDR bacteria.

CONCLUSION

Patients > 65 years accounted for 50% of infected patients admitted to an ICU. ICU and hospital length of stay, and nosocomial infection did not increase with age. Age did predispose to increased risk for infection by Gram-negatives. These findings may optimize strategies for infection management in older patients.

Association between Clinical Frailty Scale score and hospital mortality in adult patients with COVID-19 (COMET): an international, multicentre, retrospective, observational cohort study

Background

During the COVID-19 pandemic, the scarcity of resources has necessitated triage of critical care for patients with the disease. In patients aged 65 years and older, triage decisions are regularly based on degree of frailty measured by the Clinical Frailty Scale (CFS). However, the CFS could also be useful in patients younger than 65 years. We aimed to examine the association between CFS score and hospital mortality and between CFS score and admission to intensive care in adult patients of all ages with COVID-19 across Europe.

Methods

This analysis was part of the COVID Medication (COMET) study, an international, multicentre, retrospective observational cohort study in 63 hospitals in 11 countries in Europe. Eligible patients were aged 18 years and older, had been admitted to hospital, and either tested positive by PCR for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) or were judged to have a high clinical likelihood of having SARS-CoV-2 infection by the local COVID-19 expert team. CFS was used to assess level of frailty: fit (CFS_1–3), mildly frail (CFS_4–5), or frail (CFS_6–9). The primary outcome was hospital mortality. The secondary outcome was admission to intensive care. Data were analysed using a multivariable binary logistic regression model adjusted for covariates (age, sex, number of drugs prescribed, and type of drug class as a proxy for comorbidities).

Findings

Between March 30 and July 15, 2020, 2434 patients (median age 68 years [IQR 55–77]; 1480 [61%] men, 954 [30%] women) had CFS scores available and were included in the analyses. In the total sample and in patients aged 65 years and older, frail patients and mildly frail patients had a significantly higher risk of hospital mortality than fit patients (total sample: CFS_6–9vs CFS_1–3 odds ratio [OR] 2·71 [95% CI 2·04–3·60], p<0·0001 and CFS_4–5vs CFS_1–3 OR 1·54 [1·16–2·06], p=0·0030; age ≥65 years: CFS_6–9vs CFS_1–3 OR 2·90 [2·12–3·97], p<0·0001 and CFS_4–5vs CFS_1–3 OR 1·64 [1·20–2·25], p=0·0020). In patients younger than 65 years, an increased hospital mortality risk was only observed in frail patients (CFS_6–9vs CFS_1–3 OR 2·22 [1·08–4·57], p=0·030; CFS_4–5vs CFS_1–3 OR 1·08 [0·48–2·39], p=0·86). Frail patients had a higher incidence of admission to intensive care than fit patients (CFS_6–9vs CFS_1–3 OR 1·54 [1·21–1·97], p=0·0010), whereas mildly frail patients had a lower incidence than fit patients (CFS_4–5vs CFS_1–3 OR 0·71 [0·55–0·92], p=0·0090). Among patients younger than 65 years, frail patients had an increased incidence of admission to intensive care (CFS_6–9vs CFS_1–3 OR 2·96 [1·98–4·43], p<0·0001), whereas mildly frail patients had no significant difference in incidence compared with fit patients (CFS_4–5vs CFS_1–3 OR 0·93 [0·63–1·38], p=0·72). Among patients aged 65 years and older, frail patients had no significant difference in the incidence of admission to intensive care compared with fit patients (CFS_6–9vs CFS_1–3 OR 1·27 [0·92–1·75], p=0·14), whereas mildly frail patients had a lower incidence than fit patients (CFS_4–5vs CFS_1–3 OR 0·66 [0·47–0·93], p=0·018).

Interpretation

The results of this study suggest that CFS score is a suitable risk marker for hospital mortality in adult patients with COVID-19. However, treatment decisions based on the CFS in patients younger than 65 years should be made with caution.

Funding

LOEY Foundation.

Evaluating frailty may complement APACHE II in estimating mortality in elderly patients admitted to the ICU after digestive surgery

OBJECTIVE

To analyze whether frailty can improve the prediction of mortality in patients admitted to the ICU after digestive surgery.

DESIGN

Prospective, observational, 6-month follow-up study of a cohort of patients admitted to the ICU between June 1, 2018, and June 1, 2019.

SETTING

Surgical ICU of a third level hospital.

PATIENTS

Series of successive patients older than 70 years who were admitted to the ICU immediately after a surgical intervention on the digestive system. 92 patients were included and 2 were excluded due to loss of follow-up at 6 months.

INTERVENTIONS

Upon admission to the ICU, severity and prognosis were assessed by APACHE II, and fragility by the Clinical Frailty Scale and the modified Frailty Index.

MAIN VARIABLES OF INTEREST

ICU, in-hospital and 6-month mortality.

RESULTS

The model that best predicts mortality in the ICU is the APACHE II, with an area under the ROC curve (AUC) of 0.89 and a good calibration. The model that combines APACHE II and Clinical Frailty Scale is the one that best predicts in-hospital mortality (AUC: 0.82), significantly improving the prediction of isolated APACHE II (AUC: 0.78; Integrated Discrimination Index: 0.04). Frailty is a predictor of mortality at 6 months, being the model that combines Clinical Frailty Scale and Frailty Index the one that has shown the greatest discrimination (AUC: 0.84).

CONCLUSIONS

Frailty can complement APACHE II by improving its prediction of hospital mortality. Furthermore, it offers a good prediction of mortality 6 months after surgery. For mortality in ICU, frailty loses its predictive power, whereas isolated APACHE II shows excellent predictive capacity.

Management of critically ill patients with COVID-19: suggestions and instructions from the coordination of intensive care units of Lombardy

With 63,098 confirmed cases on 17 April 2020 and 11,384 deaths, Lombardy has been the most affected region in Italy by coronavirus disease 2019 (COVID-19). To cope with this emergency, the COVID-19 Lombardy intensive care units (ICU) network was created. The network identified the need of defining a list of clinical recommendations to standardize treatment of patients with COVID-19 admitted to Intensive Care Unit (ICU). Three core topics were identified: 1) rational use of intensive care resources; 2) ventilation strategies; 3) non-ventilatory interventions. Identification of patients who may benefit from ICU treatment is challenging. Clinicians should consider baseline performance and frailty status and they should adopt disease-specific staging tools. Continuous positive airway pressure, mainly delivered through a helmet as elective method, should be considered as initial treatment for all patients with respiratory failure associated with COVID-19. In case of persisting dyspnea and/or desaturation despite 4-6 hours of noninvasive ventilation, endotracheal intubation and invasive mechanical ventilation should be considered. In the early phase, muscle relaxant use and volume-controlled ventilation is recommended. Prone position should be performed in patients with PaO<inf>2</inf>/FiO<inf>2</inf>≤100 mmHg. For patients admitted to ICU with COVID-19 interstitial pneumonia, we do not recommend empiric antibiotic therapy for community-acquired pneumonia. Consultation of an infectious disease specialist is suggested before start of any antiviral therapy. In conclusion, the COVID-19 Lombardy ICU Network identified a list of best practice statements supported by the available evidence and clinical experience or identified as panel members expert opinions for the management of critically ill patients with COVID-19.

Sex-specific outcome disparities in very old patients admitted to intensive care medicine: a propensity matched analysis

Female and male very elderly intensive patients (VIPs) might differ in characteristics and outcomes. We aimed to compare female versus male VIPs in a large, multinational collective of VIPs with regards to outcome and predictors of mortality. In total, 7555 patients were included in this analysis, 3973 (53%) male and 3582 (47%) female patients. The primary endpoint was 30-day-mortality. Baseline characteristics, data on management and geriatric scores including frailty assessed by Clinical Frailty Scale (CFS) were documented. Two propensity scores (for being male) were obtained for consecutive matching, score 1 for baseline characteristics and score 2 for baseline characteristics and ICU management. Male VIPs were younger (83 ± 5 vs. 84 ± 5; p < 0.001), less often frail (CFS > 4; 38% versus 49%; p < 0.001) but evidenced higher SOFA (7 ± 6 versus 6 ± 6 points; p < 0.001) scores. After propensity score matching, no differences in baseline characteristics could be observed. In the paired analysis, the mortality in male VIPs was higher (mean difference 3.34% 95%CI 0.92–5.76%; p = 0.007) compared to females. In both multivariable logistic regression models correcting for propensity score 1 (aOR 1.15 95%CI 1.03–1.27; p = 0.007) and propensity score 2 (aOR 1.15 95%CI 1.04–1.27; p = 0.007) male sex was independently associated with higher odds for 30-day-mortality. Of note, male gender was not associated with ICU mortality (OR 1.08 95%CI 0.98–1.19; p = 0.14). Outcomes of elderly intensive care patients evidenced independent sex differences. Male sex was associated with adverse 30-day-mortality but not ICU-mortality. Further research to identify potential sex-specific risk factors after ICU discharge is warranted.

Trial registration: NCT03134807 and NCT03370692; Registered on May 1, 2017 https://clinicaltrials.gov/ct2/show/NCT03370692.

Comparison of three frailty measures for 90-day outcomes of elderly patients undergoing elective abdominal surgery

BACKGROUND

To compare the predictive power of three different evaluation methods of frailty for 90-day outcomes of elderly patients undergoing elective abdominal surgery.

METHODS

A prospective cohort study was conducted with 194 patients and a postoperative follow-up period of 90 days. Preoperative frailty was evaluated using the five-item FRAIL questionnaire, 54-item frailty index (FI), and nine-item Clinical Frailty Scale (CFS). Receiver operating curves were used to compare the predictive ability for 90-day mortality and long-term hospitalization (LTH), and logistic regression was used to calculate odds ratios and 95% confidence intervals.

RESULTS

The incidence rates of frailty assessed using FRAIL, FI, and CFS criteria were 43.8%, 32.5% and 36.6%, respectively. The 90-day mortality and LTH of frail patients were significantly higher than those of non-frail patients regardless of which criteria were used. The CFS and FI predicted 90-day mortality better than FRAIL (CFS versus FRAIL: P = 0.005; FI versus FRAIL: P = 0.041), and the CFS predicted LTH better than FRAIL (P = 0.032).

CONCLUSIONS

Patients diagnosed with frailty had significantly higher 90-day mortality and LTH regardless of which criteria were used. The CFS and FI were better predictors of 90-day mortality, and the CFS was a better predictor of LTH.

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).

Sublingual microcirculation detects impaired perfusion in dehydrated older patients

BACKGROUND: Dehydration occurs frequently in older patients and constitutes a significant clinical problem. OBJECTIVE: This proof-of-concept study examines whether 1) sublingual measurement in dehydrated old patients is feasible, 2) frailty and incompliance in old, awake patients affects video-quality, 3) dehydration impacts microcirculation METHODS: This prospective observational study included clinically dehydrated patients aged ≥65 years immediately after admission. Dehydration was assessed clinically. A sidestream dark field camera (SDF) was used for measurement. Video-quality was evaluated with MIQS (microcirculation image quality score). Both AVA 4.3C- and AVA POEM-software analyzed the videos. Seventeen patients ≥65 years not showing dehydration served as control. RESULTS: Thirteen patients (8 female) were included. The average age was 83±8 years. The mini-mental test was 17±15 points, the Clinical Frailty Scale 4±3, the Barthel-Index 59±39. None of these parameters correlated with MIQS (3.4±4.2 SD (“acceptable”)). Dehydrated patients had a slightly impaired microcirculation, with a significantly lower percentage of perfused small vessels compared to control (83.1±7.7% versus 88.0±6.0%, P < 0.05). After rehydration, there was acute improvement in the microcirculation. CONCLUSIONS: Sublingual microcirculatory SDF-measurement is both, safe and valid for dehydrated old patients - regardless of frailty, age or cognitive performance. Dehydration leads to an impaired microcirculation.

[Geriatric intensive care : Consensus paper of DGIIN, DIVI, DGAI, DGGG, ÖGGG, ÖGIAIN, DGP, DGEM, DGD, DGNI, DGIM, DGKliPha and DGG]

The proportion of elderly, frail, and multimorbid people has increased dramatically in recent decades resulting from demographic changes and will further increase, which will impact acute medical care. Prospective, randomized studies on geriatric intensive care are still lacking. There are also no international or national recommendations regarding the management of critically ill elderly patients. Based on an expert opinion, this consensus paper provides 16 statements that should be considered when dealing with geriatric critical care patients.

The Clinical Frailty Scale: Estimating the Prevalence of Frailty in Older Patients Hospitalised with COVID-19. The COPE Study

Frailty assessed using Clinical Frailty Scale (CFS) is a good predictor of adverse clinical events including mortality in older people. CFS is also an essential criterion for determining ceilings of care in people with COVID-19. Our aims were to assess the prevalence of frailty in older patients hospitalised with COVID-19, their sex and age distribution, and the completion rate of the CFS tool in evaluating frailty. Methods: Data were collected from thirteen sites. CFS was assessed routinely at the time of admission to hospital and ranged from 1 (very fit) to 9 (terminally ill). The completion rate of the CFS was assessed. The presence of major comorbidities such as diabetes and cardiovascular disease was noted. Results: A total of 1277 older patients with COVID-19, aged ≥ 65 (79.9 ± 8.1) years were included in the study, with 98.5% having fully completed CFS. The total prevalence of frailty (CFS ≥ 5) was 66.9%, being higher in women than men (75.2% vs. 59.4%, p < 0.001). Frailty was found in 161 (44%) patients aged 65-74 years, 352 (69%) in 75-84 years, and 341 (85%) in ≥85 years groups, and increased across the age groups (<0.0001, test for trend). Conclusion: Frailty was prevalent in our cohort of older people admitted to hospital with COVID-19. This indicates that older people who are also frail, who go on to contract COVID-19 may have disease severity significant enough to warrant hospitalization. These data may help inform health care planners and targeted interventions and appropriate management for the frail older person.

Therapy limitation in octogenarians in German intensive care units is associated with a longer length of stay and increased 30 days mortality: A prospective multicenter study

PURPOSE

The approach to limit therapy in very old intensive care unit patients (VIPs) significantly differs between regions. The focus of this multicenter analysis is to illuminate, whether the Clinical Frailty Scale (CFS) is a suitable tool for risk stratification in VIPs admitted to intensive care units (ICUs) in Germany. Furthermore, this investigation elucidates the impact of therapeutic limitation on the length of stay and mortality in this setting.

METHODS

German cohorts' data from two multinational studies (VIP-1, VIP-2) were combined. Univariate and multivariate logistic regression were used to evaluate associations with mortality.

RESULTS

415 acute VIPs were included. Frail VIPs (CFS > 4) were older (85 [IQR 82-88] vs. 83 [IQR 81-86] years p < .001) and suffered from an increased 30-day-mortality (43.4% versus 23.9%, p < .0001). CFS was an independent predictor of 30-day-mortality in a multivariate logistic regression model (aOR 1.23 95%CI 1.04-1.46 p = .02). Patients with any limitation of life-sustaining therapy had a significantly increased 30-day mortality (86% versus 16%, p < .001) and length of stay (144 [IQR 72-293] versus 96 [IQR 47.25-231.5] hours, p = .026).

CONCLUSION

In German ICUs, any limitation of life-sustaining therapy in VIPs is associated with a significantly increased ICU length of stay and mortality. CFS reliably predicts the outcome.

Epidemiology of sepsis and septic shock in intensive care units between sepsis-2 and sepsis-3 populations: sepsis prognostication in intensive care unit and emergency room (SPICE-ICU)

Background

Diagnosing sepsis remains difficult because it is not a single disease but a syndrome with various pathogen- and host factor-associated symptoms. Sepsis-3 was established to improve risk stratification among patients with infection based on organ failures, but it has been still controversial compared with previous definitions. Therefore, we aimed to describe characteristics of patients who met sepsis-2 (severe sepsis) and sepsis-3 definitions.

Methods

This was a multicenter, prospective cohort study conducted by 22 intensive care units (ICUs) in Japan. Adult patients (≥ 16 years) with newly suspected infection from December 2017 to May 2018 were included. Those without infection at final diagnosis were excluded. Patient’s characteristics and outcomes were described according to whether they met each definition or not.

Results

In total, 618 patients with suspected infection were admitted to 22 ICUs during the study, of whom 530 (85.8%) met the sepsis-2 definition and 569 (92.1%) met the sepsis-3 definition. The two groups comprised different individuals, and 501 (81.1%) patients met both definitions. In-hospital mortality of study population was 19.1%. In-hospital mortality among patients with sepsis-2 and sepsis-3 patients was comparable (21.7% and 19.8%, respectively). Patients exclusively identified with sepsis-2 or sepsis-3 had a lower mortality (17.2% vs. 4.4%, respectively). No patients died if they did not meet any definitions. Patients who met sepsis-3 shock definition had higher in-hospital mortality than those who met sepsis-2 shock definition.

Conclusions

Most patients with infection admitted to ICU meet sepsis-2 and sepsis-3 criteria. However, in-hospital mortality did not occur if patients did not meet any criteria. Better criteria might be developed by better selection and combination of elements in both definitions.

Trial registration

UMIN000027452

Frailty in Critical Care Medicine: A Review

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

Influence of frailty in the outcome of surgical patients over 70 years old with admission criteria in ICU

INTRODUCTION

Frailty degree can influence more than age or severity in the outcome of patients older than 70 years undergoing surgery of the digestive system that require immediate postoperative control in the ICU.

METHODS

A prospective and observational study of patients over 70 years of age who were admitted to the surgical ICU of a third level hospital immediately after an elective or emergent surgical intervention on the digestive system from June 1, 2018 until June 1, 2019. The variables age, frailty Clinical Frailty Scale (CFS), and modified Frailty Index (mFI), severity (APACHE II), type of surgery, surgical pathology were recorded upon admission. A bivariate analysis was performed to assess the influence of frailty and severity on hospital morbidity and mortality and baseline situation of the patient (in terms of dependence) at 6 months.

RESULTS

A total of 90 patients were recruited, 54.4% of whom were reoperated; 74.4% were initially discharged from the ICU, with 28.4% of readmission and directly associated to frailty (CFS and mFI: P<0.01). The overall mortality at 6 months was 44.5% being CFS (OR = 64.3; P<0.05, 95% CI: 12.3-333.9) and APACHE II (OR = 1.17; P<0.05; 95% CI: 1.04-1.32) the covariates that best related.

CONCLUSIONS

The estimation of frailty by CSF and mFI is directly associated to the surgical morbidity and readmission of elderly and severe patients admitted to the ICU. In addition, CFS and mFI has been efficient as a predictive of mortality at 6 months.

[Covid-19 pandemic. Mechanical ventilation in geriatric patients - an ethical dilemma?]

Dieser Beitrag möchte einen Überblick darüber geben, wie und mit Hilfe welcher Kriterien eine medizinisch, ethisch und rechtlich vertretbare Entscheidung darüber getroffen werden kann, welche der betagten Patienten mit einer schweren COVID-19-Pneumonie mittels künstlicher Beatmung behandelt werden sollten und welche von einer solchen Therapie eher nicht profitieren würden.

A Pilot Study of the Clinical Frailty Scale to Predict Frailty Transition and Readmission in Older Patients in Vietnam

BACKGROUND

The Clinical Frailty Scale (CFS) is gaining increasing acceptance due to its simplicity and applicability.

AIMS

This pilot study aims to examine the role of CFS in identifying the prevalence of frailty, frailty transition, and the impact of frailty on readmission after discharge in older hospitalized patients.

METHODS

Patients aged ≥60 admitted to the geriatric ward of a hospital in Vietnam were recruited from 9/2018-3/2019 and followed for three months. Frailty was assessed before discharge and after three months, using the CFS (robust: score 1-2, pre-frail: 3-4, and frail: ≥5). Multivariate logistic regression was applied to investigate the associated factors of frailty transition and the impact of frailty on readmission.

RESULTS

There were 364 participants, mean age 74.9, 58.2% female. At discharge, 4 were robust, 160 pre-frail, 200 frail. Among the 160 pre-frail participants at discharge, 124 (77.5%) remained pre-frail, and 36 (22.5%) became frail after 3 months. Age (adjusted OR1.09, 95% CI 1.03-1.16), number of chronic diseases (adjusted OR 1.37, 95% CI 1.03-1.82), and polypharmacy at discharge (adjusted OR 3.68, 95% CI 1.15-11.76) were significant predictors for frailty after 3 months. A frailty status at discharge was significantly associated with increased risk of readmission (adjusted OR2.87, 95% CI 1.71-4.82).

CONCLUSIONS

Frailty was present in half of the participants and associated with increased risk of readmission. This study suggests further studies to explore the use of the CFS via phone calls for monitoring patients' frailty status after discharge, which may be helpful for older patients living in rural and remote areas.

[Geriatric intensive care : Consensus paper of DGIIN, DIVI, DGAI, DGGG, ÖGGG, ÖGIAIN, DGP, DGEM, DGD, DGNI, DGIM, DGKliPha and DGG]

The proportion of elderly, frail, and multimorbid people has increased dramatically in recent decades resulting from demographic changes and will further increase, which will impact acute medical care. Prospective, randomized studies on geriatric intensive care are still lacking. There are also no international or national recommendations regarding the management of critically ill elderly patients. Based on an expert opinion, this consensus paper provides 16 statements that should be considered when dealing with geriatric critical care patients.

Implementation of population-level screening for frailty among patients admitted to adult intensive care in Alberta, Canada

PURPOSE

A substantial proportion of patients admitted to intensive care units (ICUs) are frail; however, the epidemiology of frailty has not been explored at a population-level. Following implementation of a validated frailty measure into a provincial ICU clinical information system, we describe the population-based prevalence and outcomes of frailty in patients admitted to ICUs.

METHODS

Retrospective cohort study of adult admissions to 17 ICUs. Data were captured using eCritical Alberta. A Clinical Frailty Scale (CFS) score assigned at ICU admission was used to define the exposure (CFS score ≥ 5). Primary outcome was hospital mortality. Secondary outcomes were ICU and hospital stay, and receipt of organ support.

RESULTS

Fifteen thousand two hundred and thirty-eight patients (81%) were assigned a CFS score at ICU admission. Of these, 28% (95% confidence interval [CI], 27 to 28) were frail. Prevalence of frailty was 9-43% across ICUs. Frail patients were older [mean (standard deviation) 63 (15) vs 56 (17) yr; P < 0.001], more likely to be male (54% vs 46% female; P < 0.001), and had higher APACHE II scores [22 (8) vs 17 (8); P < 0.001] compared with non-frail patients. Frail patients received less mechanical ventilation (62% vs 68%; P < 0.001) and vasoactive therapy (24% vs 57%; P < 0.001), but more non-invasive ventilation (22% vs 9%; P < 0.001). Frail patients had higher hospital mortality (23% vs 9%; adjusted odds ratio, 1.80; 95% CI, 1.64 to 2.05, along with longer ICU stay (median [interquartile range] 4 [2-8] vs 3 [2-6] days; P < 0.001), and longer hospital stay (16 [8-36] vs 10 [5-20] days; P < 0.001) compared with non-frail patients.

CONCLUSION

A validated measure of frailty can be implemented at the population level in ICU. Frailty is common in ICU patients and has implications for health service use and clinical outcomes.