Frailty predicts 30-day mortality in intensive care patients: A prospective prediction study

Frailty in the cardiac intensive care unit: assessment and impact

Frailty, a clinical syndrome of increased vulnerability, due to diminished cognitive, physical, and physiological reserves is a growing concern in the cardiac intensive care unit (CICU). It contributes to morbidity, mortality, and complications and often exerts a bidirectional association with cardiovascular disease. Although it predominately affects older adults, frailty can also be observed in younger patients <65 years of age, with approximately 30% of those admitted in CICU are frail. Acute cardiovascular illness can also impair physical and cognitive functioning among survivors and these survivors often suffer from frailty and functional declines post-CICU discharge. Patients with frailty in the CICU often have higher comorbidity burden, and they are less likely to receive optimal therapy for their acute cardiovascular conditions. Given the significance of this geriatric syndrome, this review will focus on assessment, clinical outcomes, and interventions, in an attempt to establish appropriate assessment, management, and resource utilization in frail patients during and after CICU admission.

Short- and Long-Term Survival among Elderly Colorectal Cancer Patients in Finland, 2006-2015: A Nationwide Population-Based Registry Study

This population-based registry study aimed to report 30-day and one-year postoperative survival, five-year overall survival (OS), and disease-specific survival (DSS) among elderly (≥75 years old) colorectal cancer (CRC) patients. All new colorectal cancer cases from 2006-2015 were included and followed until death or the end of follow-up (end of 2016). Among 27,088 CRC patients, 11,306 patients were ≥75 years old. Among patients ≥ 75 years, 36.8% (n = 4160) had right-sided colon cancer, 21.9% (n = 2478) left-sided colon cancer, and 32.3% (n = 3650) rectal cancer. In this study population, 932 patients were aged ≥ 90. The 30-day postoperative OS for patients aged 75-79 was 96.1% (95% confidence interval [CI] 95.3-96.9) falling to 93.2% (95% CI 92.0-94.4) for patients aged 80-84. The one-year postoperative OS among patients aged 75-79 was 86.3% (95% CI 84.7-87.9) compared with 80.5% (95% CI 78.7-82.3) among patients aged 80-84. Five-year OS among patients aged 75-79 was 47.6% (95% CI 46.0-49.2) and 36.6% (95% CI 34.8-38.4) among patients aged 80-84, compared with 61.7% (95% CI 60.9-62.5) among younger patients (<75 years old). Survival among elderly CRC patients (≥75 years old) was in general fairly good when compared with younger patients, especially among patients aged 75-79 and 80-84 with localized or locally advanced disease.

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.

HCT frailty scale for younger and older adults undergoing allogeneic hematopoietic cell transplantation

The HCT Frailty Scale is an easy prognostic tool composed of (a) Clinical Frailty Scale; (b) Instrumental Activities of Daily Living; (c) Timed-up-and-Go test; (d) Grip Strength; (e) Self-Health Rated Questionnaire; (f) Falls tests; (g) Albumin and C-reactive protein levels. This scale was designed to classify allogeneic hematopoietic cell transplant (alloHCT) candidates into fit, pre-frail and frail groups, irrespective of age. This study evaluates the ability of this frailty classification to predict overall survival (OS) and non-relapse mortality (NRM) in adult patients of all ages, in a prospective sample of 298 patients transplanted between 2018 and 2020. At first consultation, 103 (34.6%) patients were fit, 148 (49.7%) pre-frail, and 47 (15.8%) were frail. The 2-year OS and NRM of the three groups were 82.9%, 67.4%, and 48.3% (P < 0.001), and 5.4%, 19.2%, and 37.7% (P < 0.001). For patients younger than 60 years (n = 174), the 2-year OS and NRM of fit, pre-frail, and frail groups were 88.4%, 69.3% and 53.1% (P = 0.002), and 5.8%, 22.8%, and 34.8% (P = 0.005), respectively; and in patients older than 60 (n = 124), OS and NRM were 75.5%, 63.8% and 41.4% (P = 0.006), and 4.9%, 16.4%, and 42.1% (P = 0.001). In conclusion, frailty predicted worse transplant outcomes in both younger and older adults.

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/ ).

Prevalence of Frailty in ICU and its Impact on Patients' Outcomes

Introduction

Frailty describes a state or syndrome of reduced physical, physiologic, and cognitive reserve that increases vulnerability to acute illness. To study the prevalence of frailty in critically ill patients and find its association with resource utilization and short-term intensive care unit (ICU) outcomes.

Material and methods

This was a prospective observational study. All adult patients ≥50 years admitted to the ICU were included and frailty was assessed by the clinical frailty score (CFS). Data were collected on demography, coexisting illness, CFS, Acute Physiology and Chronic Health Evaluation II (APACHE-II), and Sequential Organ Failure Assessment Score (SOFA) scores. Patients were followed for 30 days. Outcome data were collected on organ supports provided, duration of ICU and hospital length of stay (LOS), and ICU and 30-day mortality.

Results

137 patients were enrolled in the study. The prevalence of frailty was 38.6%. Frail patients were older and had a more comorbid illness. APACHE-II and SOFA scores were 22.1 ± 7.0 and 7.2 ± 3.29, significantly higher in frail patients, respectively. There was a trend towards higher requirement for organ supports in frail patients. Median ICU and hospital LOS were 8 vs 6 and 20 vs 12 (frail vs nonfrail) days, respectively (p < 0.05). Intensive care unit mortality in frail and nonfrail patients was 28.3% and 23.8%, respectively (p = 0.56). Thirty-day mortality in frail patients was 49%, significantly higher compared with nonfrail patients (28.5%).

Conclusion

The prevalence of frailty in ICU patients was high. Frail patients were quite ill on ICU admission, and they had a prolonged ICU and hospital LOS. Increasing frailty score was associated with higher mortality at 30 days.

How to cite this article

Kalaiselvan MS, Yadav A, Kaur R, Menon A, Wasnik S. Prevalence of Frailty in ICU and its Impact on Patients' Outcomes. Indian J Crit Care Med 2023;27(5):335-341.

Methods of Assessing Frailty in the Critically Ill: A Systematic Review of the Current Literature

INTRODUCTION

As new treatments have become established, more frail pre-ICU patients are being admitted to intensive care units (ICUs); this is creating new challenges to provide adequate care and to ensure that resources are allocated in an ethical and economical manner. This systematic review evaluates the current standard for assessing frailty on the ICU, including methods of assessment, time point of measurements, and cut-offs.

METHODS

A systematic search was conducted on MEDLINE, Clinical Trials, Cochrane Library, and Embase. Randomized and non-randomized controlled studies were included that evaluated diagnostic tools and ICU outcomes for frailty. Exclusion criteria were the following: studies without baseline assessment of frailty on ICU admission, studies in paediatric patients or pregnant women, and studies that targeted very narrow populations of ICU patients. Eligible articles were included until January 31, 2021. Methodological quality was assessed using the Newcastle-Ottawa Scale. No meta-analysis was performed, due to heterogeneity.

RESULTS

N = 57 articles (253,376 patients) were included using 19 different methods to assess frailty or a surrogate. Frailty on ICU admission was most frequently detected using the Clinical Frailty Scale (CFS) (n = 35, 60.3%), the Frailty Index (n = 5, 8.6%), and Fried's frailty phenotype (n = 6, 10.3%). N = 22 (37.9%) studies assessed functional status. Cut-offs, time points, and manner of baseline assessment of frailty on ICU admission varied widely. Frailty on ICU admission was associated with short- and long-term mortality, functional and cognitive impairment, increased health care dependency, and impaired quality of life post-ICU discharge.

CONCLUSIONS

Frailty assessment on the ICU is heterogeneous with respect to methods, cut-offs, and time points. The CFS may best reflect frailty in the ICU. Frailty assessments should be harmonized and performed routinely in the critically ill.

Effect of comprehensive geriatric assessment for frail elderly patients operated for colorectal cancer—the colorectal cancer frailty study: study protocol for a randomized, controlled, multicentre trial

Background

Colorectal cancer (CRC) is the third most common cancer worldwide, with a median age of 72–75 years at diagnosis. Curative treatment usually involves surgery; if left untreated, symptoms may require emergency surgery. Therefore, most patients will be accepted for surgery, despite of high age or comorbidity. It is known that elderly patients suffer higher risks after surgery than younger patients, in terms of complications and mortality. Assessing frailty and offering frail elderly patients individualized treatment according to the comprehensive geriatric assessment (CGA) and care concept has been shown to improve the outcome for frail elderly patients in other clinical contexts.

Methods

This randomized controlled multicentre trial aims to investigate if CGA and care prior to curatively intended surgery for CRC in frail elderly patients will improve postoperative outcome. All patients ≥ 70 years with surgically curable CRC will be screened for frailty using the Clinical Frailty Scale (CFS-9). Frail patients will be offered inclusion. Randomization is stratified for colon or rectal cancer. Patients in the intervention group are, in addition to standard protocol, treated according to CGA and care. This consists of individualized assessments and interventions, established by a multiprofessional team. Patients in the control group are treated according to best known practice as stipulated by Swedish colorectal cancer treatment guidelines, within an enhanced recovery after surgery (ERAS) setting. The primary outcome is 90-day mortality. Secondary outcomes are the length of hospital stay and total number of hospital days within 3 months, discharge destination, 30-day readmission, ADL, safe medication assessment, CFS-9 score, complications, Health-Related Quality of Life (HRQoL) at 2-month follow-up in comparison to baseline measurements, health economical calculations including cost-effectiveness analysis based on costs of hospital care and primary care, mortality and HRQoL at baseline, 2- and 12-month follow-up and all-cause 1-year mortality.

Discussion

The trial is the first of its size and extent to investigate intervention with CGA and care prior to surgery for CRC in frail elderly patients. If this addition proves to be favourable, it could have implications on future care of frail elderly patients with CRC.

Trial registration

ClinicalTrials.gov NCT04358328. Registered on 4 February 2020

Supplementary Information

The online version contains supplementary material available at 10.1186/s13063-022-06883-9.

Long term cognitive and functional status in Danish ICU patients with COVID-19

Background

ICU admission due to COVID‐19 may result in cognitive and physical impairment. We investigated the long‐term cognitive and physical status of Danish ICU patients with COVID‐19.

Methods

We included all patients with COVID‐19 admitted to Danish ICUs between March 10 and May 19, 2020. Patients were the contacted prospectively at 6 and 12 months for follow‐up. Our primary outcomes were cognitive function and frailty at 6 and 12 months after ICU admission, estimated by the Mini Montreal Cognitive Assessment, and the Clinical Frailty Scale. Secondary outcomes were 6‐ and 12‐month mortality, health‐related quality of life (HRQoL) assessed by EQ‐5D‐5L, functional status (Barthel activities of daily living and Lawton–Brody instrumental activities of daily living), and fatigue (Fatigue Assessment Scale). The study had no information on pre‐ICU admission status for the participants.

Results

A total of 326 patients were included. The 6‐ and 12‐month mortality was 37% and 38%, respectively. Among the 204 six‐month survivors, 105 (51%) participated in the 6‐month follow‐up; among the 202 twelve‐month survivors, 95 (47%) participated in the 12‐month follow‐up. At 6 months, cognitive scores indicated impairment for 26% (95% confidence interval [CI], 11.4–12.4) and at 12 months for 17% (95% CI, 12.0–12.8) of participants. Frailty was indicated in 20% (95% CI, 3.4–3.9) at 6 months, and for 18% (95% CI, 3.3–3.8) at 12 months. Fatigue was reported by 52% at 6 months, and by 47% at 12 months. For HRQoL, moderate, severe, or extreme health problems were reported by 28% at 6 months, and by 25% at 12 months.

Conclusion

Long‐term cognitive, functional impairment was found in up to one in four of patients surviving intensive care for COVID‐19. Fatigue was present in nearly half the survivors at both 6 and 12 months. However, pre‐ICU admission status of the patients was unknown.

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.

Knowledge and Attitude of Pharmacy Students Regarding Geriatric Care: Questionnaire-Based Analysis in Malaysia

INTRODUCTION

There is a predicted growth of up to 17% in an older adult of Malaysian above 60 years of age by 2040. This will increase the workload of almost every healthcare provider to ensure optimal geriatric care.

PURPOSE

This study aimed to assess pharmacy students' knowledge and attitudes towards geriatric pharmacy education and older patients to determine their preparation in delivering appropriate medical care to the geriatric population.

METHODS

Self-administered questionnaires were distributed among pharmacy students in different Malaysian universities. The survey included several sections to assess multiple aspects such as sociodemographic information, assessment of knowledge using a validated 28-item Geriatric Knowledge Assessment Scale (GKAS), and attitudes towards geriatrics education.

RESULTS

The response rate was around 70% of the respondents. The mean (± standard deviation) age of the cohort was 22.28 (±1.12) years. Despite around 78% of pharmacy students claiming that their knowledge of geriatric care is adequate, their GKAS score showed that only around 20% have high geriatric knowledge. Around 80% of them showed a positive attitude on the importance of taking courses focused on geriatric care and demonstrated interest to further knowledge and training in geriatric care. However, more than half of the students were uncertain of their answers towards their attitudes regarding older patients.

CONCLUSION

Given the growing role of pharmacists in the ageing population, this study highlights the importance of geriatric care education among potential pharmacists. Therefore, we urge the need to improve/develop geriatrics education and training into the pharmacy curriculum to ensure sufficient preparation for actual practice after graduation.

Premorbid functional status as an outcome predictor in intensive care patients aged over 85 years

BACKGROUND

Poor premorbid functional status (PFS) is associated with mortality after intensive care unit (ICU) admission in patients aged 80 years or older. In the subgroup of very old ICU patients, the ability to recover from critical illness varies irrespective of age. To assess the predictive ability of PFS also among the patients aged 85 or older we set out the current study.

METHODS

In this nationwide observational registry study based on the Finnish Intensive Care Consortium database, we analysed data of patients aged 85 years or over treated in ICUs between May 2012 and December 2015. We defined PFS as good for patients who had been independent in activities of daily living (ADL) and able to climb stairs and as poor for those who were dependent on help or unable to climb stairs. To assess patients' functional outcome one year after ICU admission, we created a functional status score (FSS) based on how many out of five physical activities (getting out of bed, moving indoors, dressing, climbing stairs, and walking 400 m) the patient could manage. We also assessed the patients' ability to return to their previous type of accommodation.

RESULTS

Overall, 2037 (3.3% of all adult ICU patients) patients were 85 years old or older. The average age of the study population was 87 years. Data on PFS were available for 1446 (71.0%) patients (good for 48.8% and poor for 51.2%). The one-year mortalities of patients with good and those with poor PFS were 29.2% and 50.1%, respectively, p < 0.001. Poor PFS increased the probability of death within 12 months, adjusted odds ratio (OR), 2.15; 95% confidence interval (CI) 1.68-2.76, p < 0.001. For 69.5% of survivors, the FSS one year after ICU admission was unchanged or higher than their premorbid FSS and 84.2% of patients living at home before ICU admission still lived at home.

CONCLUSIONS

Poor PFS doubled the odds of death within one year. For most survivors, functional status was comparable to the premorbid status.

"Falling off the wagon": older adults' experiences of living with frailty in rural arctic communities

Most populations around the world are ageing. The proportion of older adults in the population is larger and is growing more rapidly in rural communities than in urban areas. Longevity increases the risk of frailty. Our aim was to explore how single-living frail older adults experience living with frailty in everyday life in rural Arctic areas. Over eight months, we conducted a series of three interviews with eight older adults identified as frail by home care services in two rural municipalities in northern Norway. We conducted a thematic analysis. We generated three themes. Frailty as a dynamic phenomenon indicated that the participants’ experiences of frailty varied over time. Frailty as part of old age referred to the findings that many participants tried to adapt to the changing circumstances, while others found it more challenging to accept the experienced limitations. Frailty in a rural Arctic context concerned the findings that the rural Arctic environment affected the participants’ experiences of frailty due to its long, snowy winters; long distances between communities and municipal centres; and out-migration. Our results demonstrate that frailty is a consequence of the interplay between ageing persons and their physical and social environments.

Ethical Advice for an Intensive Care Triage Protocol in the COVID-19 Pandemic: Lessons Learned from The Netherlands

At the height of the COVID-19 crisis in the Netherlands a shortness of intensive care beds was looming. Dutch professional medical organizations asked a group of ethicists for assistance in drafting guidelines and criteria for selection of patients for intensive care (IC) treatment in case of absolute scarcity, when medical selection criteria would no longer suffice. This article describes the Dutch context, the process of drafting the advice and reflects on the role of ethicists and lessons learned. We argue that timely interaction between clinical and ethical expertise is necessary since the distinction between medical and non-medical considerations is not as clearcut as sometimes assumed. Furthermore, pragmatic considerations related to the specifics of an epidemic are of importance, for example, in relation to prioritizing health care workers. As a consequence, any protocol already present before the pandemic would need alterations to fit the current situation. The ‘fair innings’ criterion we proposed, rephrased as an argument of intergenerational solidarity, was considered reasonable by professionals as well as patient organizations. While it is desirable to draft ethical guidelines in ‘peacetime’ as a matter of pandemic preparedness, the pressure of an actual crisis facilitates decision-making, although it will also complicate a more democratic approach.

Characteristics and outcomes of frail patients with suspected infection in intensive care units: a descriptive analysis from a multicenter cohort study

Background

Frailty is associated with morbidity and mortality in patients admitted to intensive care units (ICUs). However, the characteristics of frail patients with suspected infection remain unclear. We aimed to investigate the characteristics and outcomes of frail patients with suspected infection in ICUs.

Methods

This is a secondary analysis of a multicenter cohort study, including 22 ICUs in Japan. Adult patients (aged ≥16 years) with newly suspected infection from December 2017 to May 2018 were included. We compared baseline patient characteristics and outcomes among three frailty groups based on the Clinical Frailty Scale (CFS) score: fit (score, 1–3), vulnerable (score, 4), and frail (score, 5–9). We conducted subgroup analysis of patients with sepsis defined as per Sepsis-3 criteria. We also produced Kaplan–Meier survival curves for 90-day survival.

Results

We enrolled 650 patients with suspected infection, including 599 (92.2%) patients with sepsis. Patients with a median CFS score of 3 (interquartile range [IQR] 3–5) were included: 337 (51.8%) were fit, 109 (16.8%) were vulnerable, and 204 (31.4%) were frail. The median patient age was 72 years (IQR 60–81). The Sequential Organ Failure Assessment scores for fit, vulnerable, and frail patients were 7 (IQR 4–10), 8 (IQR 5–11), and 7 (IQR 5–10), respectively (p = 0.59). The median body temperatures of fit, vulnerable, and frail patients were 37.5 °C (IQR 36.5 °C–38.5 °C), 37.5 °C (IQR 36.4 °C–38.6 °C), and 37.0 °C (IQR 36.3 °C–38.1 °C), respectively (p < 0.01). The median C-reactive protein levels of fit, vulnerable, and frail patients were 13.6 (IQR 4.6–24.5), 12.1 (IQR 3.9–24.9), 10.5 (IQR 3.0–21.0) mg/dL, respectively (p < 0.01). In-hospital mortality did not statistically differ among the patients according to frailty (p = 0.19). Kaplan–Meier survival curves showed little difference in the mortality rate during short-term follow-up. However, more vulnerable and frail patients died after 30-day than fit patients; this difference was not statistically significant (p = 0.25). Compared with the fit and vulnerable groups, the rate of home discharge was lower in the frail group.

Conclusion

Frail and vulnerable patients with suspected infection tend to have poor disease outcomes. However, they did not show a statistically significant increase in the 90-day mortality risk.

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).

Recommendations for extracorporeal membrane oxygenation (ECMO) in COVID-19 patients : Consensus paper of the Medical University of Vienna

The pandemic from the SARS-CoV‑2 virus is currently challenging healthcare systems all over the world. Maintaining appropriate staffing and resources in healthcare facilities is essential to guarantee a safe working environment for healthcare personnel and safe patient care. Extracorporeal membrane oxygenation (ECMO) represents a valuable therapeutic option in patients with severe heart or lung failure. Although only a limited proportion of COVID-19 patients develop respiratory or circulatory failure that is refractory to conventional treatment, it is of utmost importance to clearly define criteria for the use of ECMO in this steadily growing patient population. The ECMO working group of the Medical University of Vienna has established the following recommendations for ECMO support in COVID-19 patients.

[Recommendations for Extracorporeal Membrane Oxygenation (ECMO) in COVID-19 Patients]

The pandemic from the SARS-CoV‑2 Virus is currently challenging health care systems all over the world. Maintaining appropriate staffing and resources in healthcare facilities is essential to guarantee a safe work environment for healthcare personnel and safe patient care. Extracorporeal membrane oxygenation (ECMO) represents a valuable therapeutic option in patients with severe heart or lung failure. Although only a limited proportion of COVID-19 patients develops respiratory or circulatory failure that is refractory to conventional therapies, it is of utmost importance to clearly define criteria for the use of ECMOs in this steadily growing patient population. The ECMO working group of the Medical University of Vienna has established the following recommendations for ECMO support in COVID-19 patients.