Frailty status, timely goals of care documentation and clinical outcomes in older hospitalised medical patients

Prevalence, Timing, and Predictors of Patients Who Had New and/or Updated Goals of Care While in ICU: A Multicenter Retrospective Study

OBJECTIVES

Timely documentation of patient-concordant goals of care (GOC) in the ICU aims to promote patient autonomy and patient-centered care where the harms of interventions outweigh the potential benefits. This study examined the prevalence, timing, and predictors of ICU patients undergoing new and updated GOC documentation events while in the ICU.

DESIGN

Multicenter retrospective study.

SETTING AND PATIENTS

All adults admitted to four ICUs from July 1, 2023, to December 31, 2023.

INTERVENTIONS

None.

MAIN OUTCOMES

The primary outcome was to determine the prevalence, timing, and predictors of new-GOC and updated-GOC documentation events following ICU admission.

MEASUREMENTS AND MAIN RESULTS

We used multivariable logistic regression to identify predictors for new-GOC or updated-GOC documentation events using a backward stepwise elimination. Of the 2130 patients included, 13.3% (n = 284) had a new-GOC documentation event, and 16.3% (n = 346) had an updated-GOC documentation event. New-GOC events occurred sooner than updated-GOC events (median [interquartile range]: 18.3 [7.8-70.5] vs 73.7 [22.7-157.8] hr). Factors associated with GOC documentation events included age (odds ratio [OR] = 1.02, 95% CI, 1.01-1.03), frailty (OR = 1.30; 95% CI, 1.16-1.46), Sequential Organ Failure Assessment (SOFA) (OR = 1.23, 95% CI, 1.17-1.29), metastatic cancer (OR = 3.69, 95% CI, 2.17-6.26), ICU admission post medical emergency team review (OR = 1.94, 95% CI, 1.40-2.69), and cardiac arrest (OR = 2.23, 95% CI, 1.22-4.06) and if pre-ICU GOC had established treatment limitations, namely selective treatment goals (OR = 4.33, 95% CI, 3.18-5.90) or comfort-based treatment goals (OR = 7.66, 95% CI, 2.72-21.61). Apart from SOFA, all other factors remained significantly associated with GOC documentation events, even after accounting for ICU mortality as a competing outcome.

CONCLUSIONS

Almost 30% of patients had new- or updated-GOC documentation events while in ICU. Increasing age, higher SOFA scores, metastatic cancer, frailty, cardiac arrest, and ICU admission post-MET review predicted GOC changes while in ICU.

Impact of Frailty on COVID-19 Hospitalizations: Results from the California State Inpatient Database

OBJECTIVES

Frail patients are at greater risk of experiencing adverse clinical outcomes in any critical illness due to decreased physiologic reserves, greater susceptibility to the adverse effects of treatment, and greater needs for intensive care. In this study, we sought to assess the prevalence of frailty and associated adverse in-hospital outcomes among coronavirus disease 2019 (COVID-19) hospitalizations using the 2020 California State Inpatient Database (SID).

METHODS

For this study, we conducted a retrospective analysis of data from all COVID-19 hospital patients aged 18 years and older. We identified hospitalizations that were at high risk of frailty using the Hospital Frailty Risk Score. The primary outcome of our study was in-hospital mortality, and the secondary outcomes were prolonged length of stay, vasopressor use, mechanical ventilation, and intensive care unit admission.

RESULTS

The prevalence of frailty was 44.3% among COVID-19 hospitalizations. Using propensity score matching analysis, we found that the odds of mortality (odds ratio [OR] 4.54, 95% confidence interval [CI] 4.28-4.82), prolonged length of stay (OR 2.81, 95% CI 2.70-2.90), vasopressor use (OR 8.65, 95% CI 7.45-10.03), mechanical ventilation (OR 6.90, 95% CI 6.47-7.35), and intensive care unit admission (OR 7.17, 95% CI 6.71-7.66) were significantly higher among the group of frail patients.

CONCLUSION

Our findings show that frailty could be used for assessing and risk stratifying patients for improved hospital outcomes.

Frailty and long-term survival among patients in Australian intensive care units with metastatic cancer (FRAIL-CANCER study): a retrospective registry-based cohort study

BACKGROUND

Recent advances in cancer therapeutics have improved outcomes, resulting in increasing candidacy of patients with metastatic cancer being admitted to intensive care units (ICUs). A large proportion of patients also have frailty, predisposing them to poor outcomes, yet the literature reporting on this is scarce. We aimed to assess the impact of frailty on survival in patients with metastatic cancer admitted to the ICU.

METHODS

In this retrospective registry-based cohort study, we used data from the Australia and New Zealand Intensive Care Society Adult Patient (age ≥16 years) database to identify patients with advanced (solid and haematological cancer) and a documented Clinical Frailty scale (CFS) admitted to 166 Australian ICUs. Patients without metastatic cancer were excluded. We analysed the effect of frailty (CFS 5-8) on long-term survival, and how this effect changed in specific subgroups (cancer subtypes, age [<65 years or ≥65 years], and those who survived hospitalisation). Because estimates tend to cluster within centres and vary between them, we used Cox proportional hazards regression models with robust sandwich variance estimators to assess the effect of frailty on survival time up to 4 years after ICU admission between groups.

FINDINGS

Between Jan 1, 2018, and March 31, 2022, 30 026 patients were eligible, and after exclusions 21 174 patients were included in the analysis; of these, 6806 (32·1%) had frailty, and 11 662 (55·1%) were male, 9489 (44·8%) were female, and 23 (0·1%) were intersex or self-reported indeterminate sex. The overall survival was lower for patients with frailty at 4 years compared with patients without frailty (29·5% vs 10·9%; p<0·0001). Frailty was associated with shorter 4-year survival times (adjusted hazard ratio 1·52 [95% CI 1·43-1·60]), and this effect was seen across all cancer subtypes. Frailty was associated with shorter survival times in patients younger than 65 years (1·66 [1·51-1·83]) and aged 65 years or older (1·40 [1·38-1·56]), but its effects were larger in patients younger than 65 years (pinteraction<0·0001). Frailty was also associated with shorter survival times in patients who survived hospitalisation (1·49 [1·40-1·59]).

INTERPRETATION

In patients with metastatic cancer admitted to the ICU, frailty was associated with poorer long-term survival. Patients with frailty might benefit from a goal-concordant time-limited trial in the ICU and will need suitable post-intensive care supportive management.

FUNDING

None.

The Mapping of Influencing Factors in the Decision-Making of End-of-Life Care Patients: A Systematic Scoping Review

Decisions in end-of-life care are influenced by several factors, many of which are not identified by the decision maker. These influencing factors modify important decisions in this scenario, such as in decisions to adapt to therapeutic support. This presented scoping review aims to map the factors that influence end-of-life care decisions for adult and older adult patients, by a scoping review. The review was carried out in 19 databases, with the keyword 'clinical decision-making' AND 'terminal care' OR 'end-of-life care' and its analogues, including publications from 2017 to 2022. The study was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Reviews. The search resulted in 3474 publications, where the presence of influencing factors in end-of-life decision-making for adults and the elderly was applied as a selection criterion. Fifty-four (54) of them were selected, which means 1.5% of all the results. Among the selected publications, 89 influencing factors were found, distributed in 54 (60.6%) factors related to the health team, 18 (20.2%) to patients, 10 (11.2%) related to family or surrogates and 7 (7.8%) factors related to the decision environment. In conclusion, we note that the decision-making in end-of-life care is complex, mainly because there is an interaction of different characters (health team, patient, family, or surrogates) with a plurality of influencing factors, associated with an environment of uncertainty and that result in a critical outcome, with a great repercussion for the end of life, making it imperative the recognition of these factors for more competent and safe decision-making.

Timely goals of care documentation in patients with frailty in the COVID-19 era: a retrospective multi-site study

BACKGROUND

Older frail patients are more likely to have timely goals of care (GOC) documentation than non-frail patients.

AIMS

To investigate whether timely documentation of GOC within 72 h differed in the context of the COVID-19 pandemic (2020), compared with the pre-COVID-19 era (2019) for older frail patients.

METHODS

Multi-site retrospective cohort study was conducted in two public hospitals where all consecutive frail adult patients aged ≥65 years were admitted under medical units for at least 24 h between 1 March 31 and October in 2019 and between 1 March and 31 October 2020 were included. The GOC was derived from electronic records. Frailty status was derived from hospital coding data using hospital frailty risk score (frail ≥5). The primary outcome was the documentation of GOC within 72 h of hospital admission. Secondary outcomes included hospital mortality, rapid response call, intensive care unit admission, prolonged hospital length of stay (≥10 days) and time to the documentation of GOC.

RESULTS

The study population comprised 2021 frail patients admitted in 2019 and 1849 admitted in 2020, aged 81.2 and 90.9 years respectively. The proportion of patients with timely GOC was lower in 2020, than 2019 (48.3% (893/1849) vs 54.9% (1109/2021); P = 0.021). After adjusting for confounding factors, patients in 2020 were less likely to receive timely GOC (odds ratio = 0.77; 95% confidence interval (CI) 0.68-0.88). Overall time to GOC documentation was longer in 2020 (hazard ratio = 0.86; 95% CI 0.80-0.93).

CONCLUSION

Timely GOC documentation occurred less frequently in frail patients during the COVID-19 pandemic than in the pre-COVID-19 era.

Socioeconomic vulnerability and frailty among community-dwelling older adults: cross-sectional findings from longitudinal aging study in India, 2017-18

INTRODUCTION

The Indian population is rapidly aging with huge proportion of illiterate and socioeconomically disadvantaged people and there is a dearth of research on the relationships between factors of socioeconomic vulnerability and frailty in older people. The present study examined the cross-sectional associations between socioeconomic vulnerability and physical frailty in community-dwelling older individuals in India.

MATERIALS AND METHODS

The data for the study were obtained from the Longitudinal Aging Study in India (LASI), which was conducted in 2017-18. The effective sample size was 14,652 older males and 15,899 older females aged 60 and over. The outcome variable was physical frailty phenotype measured from exhaustion, unintentional weight loss, weak grip strength, low physical activity, and slow walking time. The main explanatory variable was vulnerability status based on education, wealth and caste. The study carried out bivariate analysis to observe the association between vulnerability status and physical frailty. Further, multivariable binary logistic regression analysis was conducted to fulfil the objective of the study.

RESULTS

A proportion of 10.5 and 14.4% of older males and females respectively were in the overall vulnerable category. The prevalence of physical frailty was high among older males from vulnerable population (31.4% vs 26.9%; p < 0.001). The adjusted estimates from multivariate analysis revealed that older adults from vulnerable category had 14% significantly higher odds of being frail in comparison to non-vulnerable category [AOR: 1.14; CI: 1.06,1.24]. The adjusted model further revealed that there were no significant gender differentials in physical frailty among older adults. Model-3 (adjusted model) revealed that older males and females from vulnerable population had 18% [AOR: 1.18; CI: 1.04,1.34] and 8% [AOR: 1.08; CI: 1.01,1.21] significantly higher odds of being physically frail in comparison to older males from non-vulnerable population respectively.

CONCLUSIONS

Adverse socioeconomic circumstances such as low education, lower wealth and caste status that are associated with increased prevalence of physical frailty raise urgent questions both for public health practitioners and clinicians. The current findings may help to adapt public policies focusing on screening physical frailty in the clinical settings, especially among vulnerable populations as a marker of a possibly reversible vulnerability to adverse outcomes in old age.

Characteristics and Outcomes of Patients With Frailty Admitted to ICU With Coronavirus Disease 2019: An Individual Patient Data Meta-Analysis

Supplemental Digital Content is available in the text.

Frailty is often used in clinical decision-making for patients with coronavirus disease 2019, yet studies have found a variable influence of frailty on outcomes in those admitted to the ICU. In this individual patient data meta-analysis, we evaluated the characteristics and outcomes across the range of frailty in patients admitted to ICU with coronavirus disease 2019.

From research to bedside: Incorporation of a CGA-based frailty index among multiple comanagement services

The comprehensive geriatric assessment (CGA) is the core tool used by geriatricians across diverse clinical settings to identify vulnerabilities and estimate physiologic reserve in older adults. In this paper, we demonstrate the iterative process at our institution to identify and develop a feasible, acceptable, and sustainable bedside CGA-based frailty index tool (FI-CGA) that not only quantifies and grades frailty but also provides a uniform way to efficiently communicate complex geriatric concepts such as reserve and vulnerability with other teams. We describe our incorporation of the FI-CGA into the electronic health record (EHR) and dissemination among clinical services. We demonstrate that an increasing number of patients have documented FI-CGA in their initial assessment from 2018 to 2020, while additional comanagement services were established (Figure 2). The acceptability and sustainability of the FI-CGA, and its routine use by geriatricians in our division, were demonstrated by a survey where the majority of clinicians report using the FI-CGA when assessing a new patient and that the FI-CGA informs their clinical management. Finally, we demonstrate how we refined and updated the FI-CGA, we provide examples of applications of the FI-CGA across the institution and describe areas of ongoing process improvement and challenges for the use of this tailored yet standardized tool across diverse inpatient and outpatient services. The process outlined can be used by other geriatric departments to introduce and incorporate an FI-CGA.

A Systematic Review of the Incidence and Outcomes of In-Hospital Cardiac Arrests in Patients With Coronavirus Disease 2019

OBJECTIVES

To investigate the incidence, characteristics, and outcomes of in-hospital cardiac arrest in patients with coronavirus disease 2019 and to describe the characteristics and outcomes for patients with in-hospital cardiac arrest within the ICU, compared with non-ICU patients with in-hospital cardiac arrest. Finally, we evaluated outcomes stratified by age.

DATA SOURCES

A systematic review of PubMed, EMBASE, and preprint websites was conducted between January 1, 2020, and December 10, 2020. Prospective Register of Systematic Reviews identification: CRD42020203369.

STUDY SELECTION

Studies reporting on consecutive in-hospital cardiac arrest with a resuscitation attempt among patients with coronavirus disease 2019.

DATA EXTRACTION

Two authors independently performed study selection and data extraction. Study quality was assessed with the Newcastle-Ottawa Scale. Data were synthesized according to the Preferred Reporting Items for Systematic Reviews guidelines. Discrepancies were resolved by consensus or through an independent third reviewer.

DATA SYNTHESIS

Eight studies reporting on 847 in-hospital cardiac arrest were included. In-hospital cardiac arrest incidence varied between 1.5% and 5.8% among hospitalized patients and 8.0-11.4% among patients in ICU. In-hospital cardiac arrest occurred more commonly in older male patients. Most initial rhythms were nonshockable (83.9%, [asystole = 36.4% and pulseless electrical activity = 47.6%]). Return of spontaneous circulation occurred in 33.3%, with a 91.7% in-hospital mortality. In-hospital cardiac arrest events in ICU had higher incidence of return of spontaneous circulation (36.6% vs 18.7%; p < 0.001) and relatively lower mortality (88.7% vs 98.1%; p < 0.001) compared with in-hospital cardiac arrest in non-ICU locations. Patients greater than or equal to 60 years old had significantly higher in-hospital mortality than those less than 60 years (93.1% vs 87.9%; p = 0.019).

CONCLUSIONS

Approximately, one in 20 patients hospitalized with coronavirus disease 2019 received resuscitation for an in-hospital cardiac arrest. Hospital survival after in-hospital cardiac arrest within the ICU was higher than non-ICU locations and seems comparable with prepandemic survival for nonshockable rhythms. Although the data provide guidance surrounding prognosis after in-hospital cardiac arrest, it should be interpreted cautiously given the paucity of information surrounding treatment limitations and resource constraints during the pandemic. Further research is into actual causative mechanisms is needed.