Impact of frailty on persistent critical illness: a population-based cohort study

Frailty and Long-Term Survival in Patients With Critical Illness After Nonhome Discharge: A Retrospective Cohort Study

IMPORTANCE

Patients with frailty are more frequently discharged to rehabilitation or residential aged care facility (RACF), defined as nonhome discharge, than those without frailty. An increase in nonhome discharge is considered to be one of the collateral "costs" associated with declining hospital mortality. However, it is unclear whether this association applies to patients with frailty, particularly in the long term.

OBJECTIVES

To determine the impact of frailty on long-term survival in patients who had a nonhome discharge following an ICU admission.

DESIGN

A retrospective multicenter cohort study.

SETTING AND PARTICIPANTS

All medical patients (≥ 16 yr old) admitted to Australian and Zealand ICUs, with a documented Clinical Frailty Scale (CFS) and a nonhome discharge from January 1, 2018, to March 31, 2022, were included.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Primary outcome was survival time up to 4 years. We used Cox proportional hazards regression models with robust sandwich variance estimators to assess the effect of frailty (defined as CFS = 5-8) on survival time after ICU admission between groups. We also analyzed the effect of frailty on long-term survival based on their age and nonhome discharge location. Of the 57,652 patients, 17,383 (30.2%) were frail. Overall 4-year survival was lower in patients with frailty than those without (32.5% vs. 64.3%; p < 0.001). Frailty was associated with shorter survival times (adjusted hazard ratio [aHR], 1.50; 95% CI, 1.43-1.57). Frailty was associated with a greater reduction in survival in patients younger than 65 years old (aHR, 1.73; 95% CI, 1.59-1.88), 65-80 years (aHR, 1.47; 95% CI, 1.38-1.57), or older than 80 years (aHR, 1.35; 95% CI, 1.26-1.45). Frailty was associated with greater reduction in survival in those discharged to rehabilitation (aHR, 1.52; 95% CI, 1.39-1.65) or acute hospitals (aHR, 1.56; 95% CI, 1.48-1.65) than those discharged to RACF (aHR, 0.94; 95% CI, 0.83-1.06).

CONCLUSIONS

Frailty was independently associated with shorter time to death following a nonhome discharge after an ICU admission.

RELEVANCE

There was an independent association between patients with frailty admitted to ICU and had a nonhome discharge with the shorter time to death than those without frailty.

Prevalence of frailty and its effect on requirement of organ support and clinical outcomes in critically ill patients: a prospective observational single center study

BACKGROUND

Assessing pre-hospital frailty on ICU admission can help in risk stratification. We conducted this prospective, observational study to determine the prevalence of frailty in critically ill patients based on Clinical Frailty Scale (CFS) within 24 h of admission and to study effect of frailty on requirement of organ support and clinical outcome.

METHODS

The study was registered in Clinical Trials Registry-India (CTRI/2021/04/032782) on 13/04/2021. After approval from IEC and written informed consent, all adult patients admitted to our ICU from April 15th, 2021 to April 14th, 2022 were included. The patients were categorized as Frail & Non-Frail, defining frailty as CFS ≥ 5, two weeks before index admission. The groups were compared for requirement of organ support (vasoactive support, mechanical ventilation, renal replacement therapy) and clinical outcomes (hospital acquired infections (HAI), hospital and ICU length of stay (LOS) and hospital, ICU and 30-day mortality).

RESULT

Out of 358 admissions, 317 were enrolled. The demographic data were comparable except for higher family income amongst frail patients, p < 0.001. The prevalence of frailty was 24.6%. A significantly higher number of frail patients required vasoactive support (p = 0.006). Incidence of HAI in frail group was significantly higher (48.7%) as compared to non-frail group (20.9%) (p < 0.001). The median ICU LOS was 7 days [IQR, 3-7] in frail compared to 6 days [IQR,3-10] in non-frail group, p = 0.051. The median hospital LOS in frail patients was 18 days [IQR,10-32] compared to 15 days [IQR, 8.25-26] in non-frail, p = 0.005. ICU, hospital and 30-day mortality were significantly higher in frail patients, p < 0.01.

CONCLUSION

The prevalence of frailty in ICU patients was 24.6% and a higher number of frail patients had requirement of vasopressor support and incidence of HAI. Additionally, frail patients also had longer hospital LOS and higher ICU, hospital and 30-day mortality.

TRIAL REGISTRATION

CTRI/2021/04/032782.

Prevalence of New Frailty at Hospital Discharge in Severe COVID-19 Survivors and Its Associated Factors

BACKGROUND

The development of frailty at hospital discharge affects the clinical outcomes in severe coronavirus disease 2019 (COVID-19) survivors who had no frailty before hospitalization. We aimed to describe the prevalence of new frailty using the clinical frailty scale (CFS) and evaluate its associated factors in patients with severe COVID-19 without pre-existing frailty before hospitalization.

METHODS

We performed a secondary analysis of clinical data from a nationwide retrospective cohort collected from 22 hospitals between January 1, 2020 and August 31, 2021. The patients were at least 19 years old and survived until discharge after admission to the intensive care unit (ICU) because of severe COVID-19. Development of new frailty was defined as a CFS score ≥5 at hospital discharge.

RESULTS

Among 669 severe COVID-19 survivors without pre-existing frailty admitted to the ICU, the mean age was 65.2±12.8 years, 62.5% were male, and 50.2% received mechanical ventilation (MV). The mean CFS score at admission was 2.4±0.9, and new frailty developed in 27.8% (186/483). In multivariate analysis, older age, cardiovascular disease, CFS score of 3-4 before hospitalization, increased C-reactive protein level, longer duration of corticosteroid treatment, and use of MV and extracorporeal membrane oxygenation were identified as factors associated with new-onset frailty.

CONCLUSION

Our study suggests that new frailty is not uncommon and is associated with diverse factors in survivors of severe COVID-19 without pre-existing frailty.

Critical illness-based chronic disease: a new framework for intensive metabolic support

PURPOSE OF REVIEW

This review addresses the novel concept of critical illness as a potential chronic disease. The high clinical and economic burdens of chronic critical illness and post-ICU syndromes are mainly due to refractoriness to therapy and consequently lead to significant complications. Interventions need to be preventive in nature and therefore a robust disease model is warranted.

RECENT FINDINGS

There are three paradigms that are leveraged to create a new critical illness-based chronic disease (CIBCD) model: metabolic model of critical illness, intensive metabolic support (IMS; insulinization and nutrition support), and driver-based chronic disease modeling. The CIBCD model consists of four stages: risk, predisease, (chronic) disease, and complications. The principal goal of the CIBCD model is to expose early opportunities to prevent disease progression, particularly further morbidity, complications, and mortality. IMS is used to target seminal pathophysiological events such as immune-neuroendocrine axis (INA) activation and failure to downregulate INA activation because of preexisting chronic diseases and recurrent pathological insults.

SUMMARY

The CIBCD model complements our understanding of critical illness and provides needed structure to preventive actions that can improve clinical outcomes. Many research, knowledge, and practice gaps exist, which will need to be addressed to optimize and validate this model.

The interplay between frailty status and persistent critical illness on the outcomes of patients with critical COVID-19: A population-based retrospective cohort study

OBJECTIVES

Persistent critical illness (PerCI) occurs when the patient's prolonged intensive care unit (ICU) stay results in complications that become the primary drivers of their condition, rather than the initial reason for their admission. Patients with frailty have a higher risk of developing and dying from PerCI. We aimed to investigate the interplay of frailty and PerCI in critically ill patients with COVID-19.

METHOD

We conducted a retrospective multicentre cohort study including 103 Australian and New Zealand ICUs over the period of January 2020 to December 2021. We included all adult patients with COVID-19 and documented the Clinical Frailty Scale (frail ≥ 5). PerCI is defined as an ICU length of stay of ≥10 days. We aimed to investigate the hospital mortality with and without PerCI across varying degrees of frailty and examined the potential interaction effect between frailty status and PerCI.

RESULTS

The prevalence of PerCI was similar between patients with and without frailty (25.4% vs. 27.9%; p = 0.44). Hospital mortality was higher in patients with PerCI than in those without (28.8% vs. 9.3%; p < 0.001). Mortality in patients with PerCI also increased with increasing frailty (p < 0.001). Frailty independently predicted hospital mortality. When adjusted for Australia and New Zealand risk of death mortality prediction model and sex, the impact of frailty was no different in patients with and without PerCI (odds ratio = 1.30 [95% confidence interval: 1.14-1.49] vs. (odds ratio = 1.46 [95% confidence interval: 1.29-1.64]). Furthermore, increasing frailty did not influence mortality in patients with PerCI more (or less) than in those without PerCI (pinteraction = 0.82).

CONCLUSIONS

The presence of frailty independently predicted hospital mortality in patients with PerCI with COVID-19, but the impact of frailty on mortality was no different in those who developed PerCI from those without PerCI.

The pictorial fit-frail scale: a novel tool for frailty assessment in critically ill older adults

BACKGROUND

Frailty is a state of high vulnerability to adverse health outcomes. It is an important factor influencing the prognosis of older, critically ill patients. Several methods to assess frailty were evaluated in the critical care setting. The Pictorial Fit-Frail Scale (PFFS) is a validated quick and easy-to-use tool for frailty assessment. It takes < 5 min to fill by the patient or caregiver; it requires no clinical examination by medical staff. This study evaluated the use of the PFFS in an intensive care unit (ICU).

METHODS

A single-center retrospective study, performed in an 18-bed mixed medical-surgical ICU in a university-affiliated tertiary hospital. As of 1/9/2022, all older patients are routinely asked to fill out the PFFS. Patients were grouped based on their PFFS score. Baseline characteristics and admission outcomes were compared. Correlation between the PFFS and prognostic scores was examined. Mortality was analyzed using logistic and Cox regressions.

RESULTS

168 patients were included. 56 (33.33%) patients were non-frail, 81 (48.21%) were mildly-moderately frail, and 31 (18.45%) were severely frail. There were no differences in baseline characteristics or prognostic scores between frailty groups. No correlation was found between PFFS, age, APACHE2, and SOFA24. Multivariate logistic regression demonstrated an association between frailty and 90d but not with ICU mortality. Cox regression demonstrated higher mortality in the mild-moderate frailty (HR 2.053, 95%CI 1.009, 4.179) and severe frailty (HR 4.353, (95% CI 1.934, 9.801)) groups compared to the non-frail group.

CONCLUSION

Frailty assessment by the PFFS in the ICU is feasible. Frailty is a distinct characteristic of older, critically ill patients and is independently associated with 90d mortality.

Definitions, epidemiology, and outcomes of persistent/chronic critical illness: a scoping review for translation to clinical practice

BACKGROUND

Medical advances in intensive care units (ICUs) have resulted in the emergence of a new patient population-those who survive the initial acute phase of critical illness, but require prolonged ICU stays and develop chronic critical symptoms. This condition, often termed Persistent Critical Illness (PerCI) or Chronic Critical Illness (CCI), remains poorly understood and inconsistently reported across studies, resulting in a lack of clinical practice use. This scoping review aims to systematically review and synthesize the existing literature on PerCI/CCI, with a focus on definitions, epidemiology, and outcomes for its translation to clinical practice.

METHODS

A scoping review was conducted using MEDLINE and Scopus, adhering to the PRISMA-ScR guidelines. Peer-reviewed original research articles published until May 31, 2024 that described adult PerCI/CCI in their definitions of patient populations, covariates, and outcomes were included. Data on definitions, epidemiology, and outcomes were extracted by a data charting process from eligible studies and synthesized.

RESULTS

Ninety-nine studies met the inclusion criteria. Of these studies, 64 used the term CCI, 18 used PerCI, and 17 used other terms. CCI definitions showed greater variability, while PerCI definitions remained relatively consistent, with an ICU stay ≥ 14 days for CCI and ≥ 10 days for PerCI being the most common. A meta-analysis of the prevalence of PerCI/CCI among the denominators of "all ICU patients", "sepsis", "trauma", and "COVID-19" showed 11% (95% confidence interval 10-12%), 28% (22-34%), 24% (15-33%), and 35% (20-50%), respectively. A meta-analysis of in-hospital mortality was 27% (26-29%) and that of one-year mortality was 45% (32-58%). Meta-analyses of the prevalence of CCI and PerCI showed 17% (16-18%) and 18% (16-20%), respectively, and those for in-hospital mortality were 28% (26-30%) and 26% (24-29%), respectively. Functional outcomes were generally poor, with many survivors requiring long-term care.

CONCLUSIONS

This scoping review synthesized many studies on PerCI/CCI, highlighting the serious impact of PerCI/CCI on patients' long-term outcomes. The results obtained underscore the need for consistent terminology with high-quality research for PerCI/CCI. The results obtained provide important information to be used in discussions with patients and families regarding prognosis and care options.

Epidemiology of acute hypoxaemic respiratory failure in Australian and New Zealand intensive care units during 2005-2022. A binational, registry-based study

PURPOSE

Acute hypoxaemic respiratory failure (AHRF) is a common reason for intensive care unit (ICU) admission. However, patient characteristics, outcomes, and trends over time are unclear. We describe the epidemiology and outcomes of patients with AHRF over time.

METHODS

In this binational, registry-based study from 2005 to 2022, we included all adults admitted to an Australian or New Zealand ICU with an arterial blood gas within the first 24 h of ICU stay. AHRF was defined as a partial pressure of oxygen/inspired oxygen ratio (PaO2/FiO2) ≤ 300. The primary outcome was adjusted in-hospital mortality, categorised based on PaO2/FiO2 (mild: 200-300, moderate: 100-200, and severe < 100, and non-linearly). We investigated how adjusted mortality evolved based on temporal trends (by year of admission), sex, age, admission diagnosis and the receipt of mechanical ventilation.

RESULTS

Of 1,560,221 patients, 826,106 (52.9%) were admitted with or developed AHRF within the first 24 h of ICU stay. Of these 826,106 patients, 51.4% had mild, 39.3% had moderate, and 9.3% had severe AHRF. Compared to patients without AHRF (5.3%), patients with mild (8%), moderate (14.2%) and severe (29.9%) AHRF had higher in-hospital mortality rates. As PaO2/FiO2 ratio decreased, adjusted in-hospital mortality progressively increased, particularly below an inflection point at a PaO2/FiO2 ratio of 200. The adjusted in-hospital mortality for all patients decreased over time (13.3% in 2005 to 8.2% in 2022), and this trend was similar in patients with and without AHRF.

CONCLUSION

The healthcare burden due to AHRF may be larger than expected, and mortality rates remain high in severe AHRF. Although mortality has decreased over time, this may reflect improvements in ICU care in general, rather than specifically in AHRF. More research is required to earlier identify AHRF and stratify these patients at risk of deterioration early, and to validate our findings.

Does the level of mobility on ICU discharge impact post-ICU outcomes? A retrospective analysis

PURPOSE

Mobilisation is a common intervention in Intensive Care (ICU). However, few studies have explored the relationship between mobility levels and outcomes. This study assessed the association of the level of mobility on ICU discharge with discharge destination from the hospital and hospital length of stay.

MATERIALS AND METHODS

A retrospective analysis of data from 522 patients admitted to a single UK general ICU who were ventilated for ≥5 days was performed. The level of mobility was assessed using the Manchester Mobility Score (MMS). Multivariable regression analysed demographic and clinical variables for the independence of association with discharge destination and hospital length of stay.

RESULTS

MMS ≥5 on ICU discharge was independently associated with discharge destination and hospital LOS (p < 0.001). Patients achieving MMS ≥5 on ICU discharge were more likely to be discharged home (OR 3.86 95% CI 2.1 to 6.9, p < 0.001), and had an 11.8 day shorter hospital LOS (95% CI -17.6 to -6.1, p < 0.001).

CONCLUSIONS

The ability to step transfer to a chair (MMS ≥5) before ICU discharge was independently associated with discharge to usual residence and hospital LOS, irrespective of preadmission morbidity. Increasing the level of patient mobility at ICU discharge should be a key focus of rehabilitation interventions.

Urea to creatinine ratio as a predictor of persistent critical illness

INTRODUCTION

Persistent critical illness (PCI) is a syndrome in which the acute presenting problem has been stabilized, but the patient's clinical state does not allow ICU discharge. The burden associated with PCI is substantial. The most obvious marker of PCI is prolonged ICU length of stay (LOS), usually greater than 10 days. Urea to Creatinine ratio (UCr) has been suggested as an early marker of PCI development.

METHODS

A single-center retrospective study. Data of patients admitted to a general mixed medical-surgical ICU during Jan 1st 2018 till Dec 31st 2022 was extracted, including demographic data, baseline characteristics, daily urea and creatinine results, renal replacement therapy (RRT) provided, and outcome measures - length of stay, and mortality (ICU, and 90 days). Patients were defined as PCI patients if their LOS was >10 days. We used Fisher exact test or Chi-square to compare PCI and non-PCI patients. The association between UCr with PCI development was assessed by repeated measures linear model. Multivariate Cox regression was used for 1 year mortality assessment.

RESULTS

2098 patients were included in the analysis. Patients who suffered from PCI were older, with higher admission prognostic scores. Their 90-day mortality was significantly higher than non-PCI patients (34.58% vs 12.18%, p < 0.0001). A significant difference in UCr was found only on the first admission day among all patients. This was not found when examining separately surgical, trauma, or transplantation patients. We did not find a difference in UCr in different KDIGO (Kidney Disease Improving Global Outcomes) stages. Elevated UCr and PCI were found to be significantly associated with 1 year mortality.

CONCLUSION

In this single center retrospective cohort study, UCr was not found to be associated with PCI development.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSION

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

Frailty 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.

Impact of frailty on outcomes after cardiac surgery

OBJECTIVE

The study objective was to evaluate whether increasing frailty, as measured by the Clinical Frailty Scale, was associated with an increased risk of hospital mortality for patients undergoing cardiac surgery.

METHODS

A retrospective binational cohort study of 46,928 patients who underwent cardiac surgery in Australia and New Zealand was conducted. The primary exposure, frailty, was measured using the Clinical Frailty Scale. Associations between frailty and the primary outcome, hospital mortality, were evaluated using multivariable, mixed effects logistic regression models. Secondary outcomes including hospital and intensive care unit length of stay, invasive ventilation hours, need for renal replacement therapy and tracheostomy, and nonhome discharge were also evaluated.

RESULTS

A total of 3122 of 46,928 patients (6.7%) were classified as frail (Clinical Frailty Scale 5-8), and 93.3% (43,806/46,928) were nonfrail (Clinical Frailty Scale 1-4). Raw mortality was 4.2% (132/3122) in the frail group and 1.05% (461/43,806) in the nonfrail group. After multivariable adjustment for illness severity, age, elective status, type of surgery, hospital type, and country, frailty was significantly associated with increased hospital mortality (odds ratio, 2.879, 95% CI, 2.284-3.629, P < .001). Increasing Clinical Frailty Scale was also significantly associated with a higher risk of secondary outcomes, including length of stay in the hospital and intensive care unit, receipt of renal replacement therapy and tracheostomy, and increased duration of mechanical ventilation.

CONCLUSIONS

This study demonstrated that increasing Clinical Frailty Scale was strongly associated with increased hospital mortality, hospital and intensive care unit length of stay, invasive ventilation hours, renal replacement therapy, and tracheostomy insertion among patients undergoing cardiac surgery in Australia and New Zealand.

Prevalence and long-term outcomes of patients with life-limiting illness admitted to intensive care units in Australia and New Zealand

Objective

Determine the prevalence and outcomes of patients with life-limiting illness (LLI) admitted to Australian and New Zealand Intensive Care Units (ICUs).

Design setting participants

Retrospective registry-linked observational cohort study of all adults admitted to Australian and New Zealand ICUs from 1st January 2018 until 31st December 2020 (New Zealand) and 31st March 2022 (Australia), recorded in the Australian and New Zealand Intensive Care Society Adult Patient Database.

Main outcome measures

The primary outcome was 1-year mortality. Secondary outcomes included ICU and hospital mortality, ICU and hospital length of stay, and 4-year survival.

Results

A total of 566,260 patients were included, of whom 129,613 (22.9%) had one or more LLI. Mortality at one year was 28.1% in those with LLI and 10.4% in those without LLI (p < 0.001). Mortality in intensive care (6.8% v 3.4%, p < 0.001), hospital (11.8% v 5.0%, p < 0.001), and at two (36.6% v 14.1%, p < 0.001), three (43.7% v 17.7%, p < 0.001) and four (55.6% v 24.5%, p < 0.001) years were all higher in the cohort of patients with LLI. Patients with LLI had a longer ICU (1.9 [0.9, 3.7] v 1.6 [0.9, 2.9] days, p < 0.001) and hospital length of stay (8.8 [49,16.0] v 7.2 [3.9, 12.9] days, p < 0.001), and were more commonly readmitted to ICU during the same hospitalisation than patients without LLI (5.2% v 3.7%, p < 0.001). After multivariate analysis the LLI with the strongest adverse effect on survival was frailty (HR 2.08, 95% CI 2.03 to 2.12, p < 0.001), followed by the presence of metastatic cancer (HR 1.97, 95% CI 1.92 to 2.02, p < 0.001), and chronic liver disease (HR 1.65, 95% CI 1.65 to 1.71, p < 0.001).

Conclusion

Patients with LLI account for almost a quarter of ICU admissions in Australia and New Zealand, require prolonged ICU and hospital care, and have high mortality in subsequent years. This knowledge should be used to identify this vulnerable cohort of patients, and to ensure that treatment is aligned to each patient's values and realistic goals.

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

OBJECTIVE

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

DESIGN

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

SETTING

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

PARTICIPANTS

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

INTERVENTIONS

None.

MAIN VARIABLES OF INTEREST

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

RESULTS

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

CONCLUSIONS

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

Inflammaging in Multidrug-Resistant Sepsis of Geriatric ICU Patients and Healthcare Challenges

Multidrug-resistant sepsis (MDR) is a pressing concern in intensive care unit (ICU) settings, specifically among geriatric patients who experience age-related immune system changes and comorbidities. The aim of this review is to explore the clinical impact of MDR sepsis in geriatric ICU patients and shed light on healthcare challenges associated with its management. We conducted a comprehensive literature search using the National Center for Biotechnology Information (NCBI) and Google Scholar search engines. Our search incorporated keywords such as "multidrug-resistant sepsis" OR "MDR sepsis", "geriatric ICU patients" OR "elderly ICU patients", and "complications", "healthcare burdens", "diagnostic challenges", and "healthcare challenges" associated with MDR sepsis in "ICU patients" and "geriatric/elderly ICU patients". This review explores the specific risk factors contributing to MDR sepsis, the complexities of diagnostic challenges, and the healthcare burden faced by elderly ICU patients. Notably, the elderly population bears a higher burden of MDR sepsis (57.5%), influenced by various factors, including comorbidities, immunosuppression, age-related immune changes, and resource-limited ICU settings. Furthermore, sepsis imposes a significant economic burden on healthcare systems, with annual costs exceeding $27 billion in the USA. These findings underscore the urgency of addressing MDR sepsis in geriatric ICU patients and the need for tailored interventions to improve outcomes and reduce healthcare costs.

Clinical Frailty Score is a good predictor of postoperative mortality in patients undergoing open abdomen surgery: a multicenter retrospective cohort study

BACKGROUND

Open Abdomen (OA) is gaining popularity in damage control surgery (DCS) but there is not an absolute prognostic score to identify patients that may benefit from it. Our study investigates the correlation between the clinical frailty scale score (CFSS) and postoperative morbidity and mortality in patients undergoing OA.

METHODS

Patients ≥65 yo undergoing OA in two referral centres between 2015 and 2020 were included and stratified according to CFSS in non-frail (NF), frail (F) and highly-frail (HF). The primary endpoint was 30-day mortality. Secondary endpoints were postoperative morbidity and 1- year survival.

RESULTS

One hundred and thirty-six patients were included: 35 NF (25.7%), 56 F (41.2%), 45 HF (33.1%). Average age 76.8. The 73.5% of cases were non-traumatic diseases with no difference in preoperative characteristics. 95 (71.4%) had one complication, 26 NF (74.3%), 34 F (63.2%), 35 HF (77.8%) (P=0.301) and 59.4% had a complication with a CD≥3, 57.1% NF, 56.6% F and 64.4 HF. The 30-day mortality was 32.4%, higher in HF (46.7%) and F (30.4%) compared to NF (17.1%, P=0.018). The Overall 1-year survival was 41% (SE ±4) with statistically significant difference between HF vs. NF and HF vs. F (P=0.009 and P=0.029, respectively). In the univariate analysis, the only significant prognostic factor impacting mortality was CFSS, with HF having an HR of 1.948 (95% CI 1.097-3.460, P=0.023).

CONCLUSIONS

When OA is a surgical option, frail patients should not be precluded, while HF should be carefully evaluated. The CFSS might be a good prognostic score for patients that may safely benefit from OA.

Persistent Critical Illness and Long-Term Outcomes in Patients With COVID-19: A Multicenter Retrospective Cohort Study

OBJECTIVES

A nontrivial number of patients in ICUs experience persistent critical illness (PerCI), a phenomenon in which features of the ICU course more consistently predict mortality than the initial indication for admission. We aimed to describe PerCI among patients with critical illness caused by COVID-19, and these patients' short- and long-term outcomes.

DESIGN

Multicenter retrospective cohort study.

SETTING

Australian and New Zealand Intensive Care Society Adult Patient Database of 114 Australian ICUs between January 1, 2020, and March 31, 2022.

PATIENTS

Patients 16 years old or older with COVID-19, and a documented ICU length of stay.

EXPOSURE

The presence of PerCI, defined as an ICU length of stay greater than or equal to 10 days.

MEASUREMENTS

We compared the survival time up to 2 years from ICU admission using time-varying robust-variance estimated Cox proportional hazards models. We further investigated the impact of PerCI in subgroups of patients, stratifying based on whether they survived their initial hospitalization.

MAIN RESULTS

We included 4961 patients in the final analysis, and 882 patients (17.8%) had PerCI. ICU mortality was 23.4% in patients with PerCI and 6.5% in those without PerCI. Patients with PerCI had lower 2-year (70.9% [95% CI, 67.9-73.9%] vs. 86.1% [95% CI, 85.0-87.1%]; p < 0.001) survival rates compared with patients without PerCI. Patients with PerCI had higher mortality (adjusted hazards ratio: 1.734; 95% CI, 1.388-2.168); this was consistent across several sensitivity analyses. When analyzed as a nonlinear predictor, the hazards of mortality were inconsistent up until 10 days, before plateauing.

CONCLUSIONS

In this multicenter retrospective observational study patients with PerCI tended to have poorer short-term and long-term outcomes. However, the hazards of mortality plateaued beyond the first 10 days of ICU stay. Further studies should investigate predictors of developing PerCI, to better prognosticate long-term outcomes.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSION

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

The critically ill older patient with sepsis: a narrative review

Sepsis is a significant public health concern, particularly affecting individuals above 70 years in developed countries. This is a crucial fact due to the increasing aging population, their heightened vulnerability to sepsis, and the associated high mortality rates. However, the morbidity and long-term outcomes are even more notable. While many patients respond well to timely and appropriate interventions, it is imperative to enhance efforts in identifying, documenting, preventing, and treating sepsis. Managing sepsis in older patients poses greater challenges and necessitates a comprehensive understanding of predisposing factors and a heightened suspicion for diagnosing infections and assessing the risk of sudden deterioration into sepsis. Despite age often being considered an independent risk factor for mortality and morbidity, recent research emphasizes the pivotal roles of frailty, disease severity, and comorbid conditions in influencing health outcomes. In addition, it is important to inquire about the patient's preferences and establish a personalized treatment plan that considers their potential for recovery with quality of life and functional outcomes. This review provides a summary of the most crucial aspects to consider when dealing with an old critically ill patient with sepsis.

National ICU Registries as Enablers of Clinical Research and Quality Improvement

OBJECTIVES

Clinical quality registries (CQRs) have been implemented worldwide by several medical specialties aiming to generate a better characterization of epidemiology, treatments, and outcomes of patients. National ICU registries were created almost 3 decades ago to improve the understanding of case-mix, resource use, and outcomes of critically ill patients. This narrative review describes the challenges, proposed solutions, and evidence generated by National ICU registries as facilitators for research and quality improvement.

DATA SOURCES

English language articles were identified in PubMed using phrases related to ICU registries, CQRs, outcomes, and case-mix.

STUDY SELECTION

Original research, review articles, letters, and commentaries, were considered.

DATA EXTRACTION

Data from relevant literature were identified, reviewed, and integrated into a concise narrative review.

DATA SYNTHESIS

CQRs have been implemented worldwide by several medical specialties aiming to generate a better characterization of epidemiology, treatments, and outcomes of patients. National ICU registries were created almost 3 decades ago to improve the understanding of case-mix, resource use, and outcomes of critically ill patients. The initial experience in European countries and in Oceania ensured that through locally generated data, ICUs could assess their performances by using risk-adjusted measures and compare their results through fair and validated benchmarking metrics with other ICUs contributing to the CQR. The accomplishment of these initiatives, coupled with the increasing adoption of information technology, resulted in a broad geographic expansion of CQRs as well as their use in quality improvement studies, clinical trials as well as international comparisons, and benchmarking for ICUs.

CONCLUSIONS

ICU registries have provided increased knowledge of case-mix and outcomes of ICU patients based on real-world data and contributed to improve care delivery through quality improvement initiatives and trials. Recent increases in adoption of new technologies (i.e., cloud-based structures, artificial intelligence, machine learning) will ensure a broader and better use of data for epidemiology, healthcare policies, quality improvement, and clinical trials.

Do critical illness survivors with multimorbidity need a different model of care?

There is currently a lack of evidence on the optimal strategy to support patient recovery after critical illness. Previous research has largely focussed on rehabilitation interventions which aimed to address physical, psychological, and cognitive functional sequelae, the majority of which have failed to demonstrate benefit for the selected outcomes in clinical trials. It is increasingly recognised that a person's existing health status, and in particular multimorbidity (usually defined as two or more medical conditions) and frailty, are strongly associated with their long-term outcomes after critical illness. Recent evidence indicates the existence of a distinct subgroup of critical illness survivors with multimorbidity and high healthcare utilisation, whose prior health trajectory is a better predictor of long-term outcomes than the severity of their acute illness. This review examines the complex relationships between multimorbidity and patient outcomes after critical illness, which are likely mediated by a range of factors including the number, severity, and modifiability of a person's medical conditions, as well as related factors including treatment burden, functional status, healthcare delivery, and social support. We explore potential strategies to optimise patient recovery after critical illness in the presence of multimorbidity. A comprehensive and individualized approach is likely necessary including close coordination among healthcare providers, medication reconciliation and management, and addressing the physical, psychological, and social aspects of recovery. Providing patient-centred care that proactively identifies critical illness survivors with multimorbidity and accounts for their unique challenges and needs is likely crucial to facilitate recovery and improve 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 impact of body mass index on long-term survival after ICU admission due to COVID-19: A retrospective multicentre study

Objective

The impact of obesity on long-term survival after intensive care unit (ICU) admission with severe coronavirus disease 2019 (COVID-19) is unclear. We aimed to quantify the impact of obesity on time to death up to two years in patients admitted to Australian and New Zealand ICUs.

Design

Retrospective multicentre study.

Setting

92 ICUs between 1st January 2020 through to 31st December 2020 in New Zealand and 31st March 2022 in Australia with COVID-19, reported in the Australian and New Zealand Intensive Care Society adult patient database.

Participants

All patients with documented height and weight to estimate the body mass index (BMI) were included. Obesity was classified patients according to the World Health Organization recommendations.

Interventions and main outcome measures

The primary outcome was survival time up to two years after ICU admission. The effect of obesity on time to death was assessed using a Cox proportional hazards model. Confounders were acute illness severity, sex, frailty, hospital type and jurisdiction for all patients.

Results

We examined 2,931 patients; the median BMI was 30.2 (IQR 25.6-36.0) kg/m2. Patients with a BMI ≥30 kg/m2 were younger (median [IQR] age 57.7 [46.2-69.0] vs. 63.0 [50.0-73.6]; p < 0.001) than those with a BMI <30 kg/m2. Most patients (76.6%; 2,244/2,931) were discharged alive after ICU admission. The mortality at two years was highest for BMI categories <18.5 kg/m2 (35.4%) and 18.5-24.9 kg/m2 (31.1%), while lowest for BMI ≥40 kg/m2 (14.5%). After adjusting for confounders and with BMI 18.5-24.9 kg/m2 category as a reference, only the BMI ≥40 kg/m2 category patients had improved survival up to 2 years (hazard ratio = 0.51; 95%CI: 0.34-0.76).

Conclusions

The obesity paradox appears to exist beyond hospital discharge in critically ill patients with COVID-19 admitted in Australian and New Zealand ICUs. A BMI ≥40 kg/m2 was associated with a higher survival time of up to two years.

Frailty trajectories in ICU survivors: A comparison between the clinical frailty scale and the Tilburg frailty Indicator and association with 1 year mortality

PURPOSE

To test the agreement of the Clinical Frailty Scale (CFS) and the Tilburg Frailty Indicator (TFI), their association with 3, 6 months and 1-year mortality and the trajectory of frailty in a mixed population of ICU survivors.

MATERIAL AND METHODS

This is a prospective, multicenter, longitudinal study on ICU survivors ≥18 years old with an ICU stay >72 h. For each patient, sociodemographic and clinical data were collected. Frailty was assessed during ICU stay and at 3, 6, 12 months after ICU discharge, through both CFS and TFI.

RESULTS

124 patients with a mean age of 66 years old were enrolled. The baseline prevalence of frailty was 15.3% by CFS and 44.4% by TFI. Baseline CFS and TFI correlated but showed low agreement (Cohen's K = 0.23, p < 0.001). Baseline CFS score, but not TFI, was significantly associated to 1 year mortality. Moreover, CFS score during the follow-up was independently associated 1-year mortality (OR = 1.43; 95% CI: 1.18-1.73).

CONCLUSIONS

CFS and TFI identify different populations of frail ICU survivors. Frail patients before ICU according to CFS have a significantly higher mortality after ICU discharge. The CFS during follow-up is an independent negative prognostic factor of long-term mortality in the ICU population.

The impact of age-related syndromes on ICU process and outcomes in very old patients

In this narrative review, we describe the most important age-related "syndromes" found in the old ICU patients. The syndromes are frailty, comorbidity, cognitive decline, malnutrition, sarcopenia, loss of functional autonomy, immunosenescence and inflam-ageing. The underlying geriatric condition, together with the admission diagnosis and the acute severity contribute to the short-term, but also to the long-term prognosis. Besides mortality, functional status and quality of life are major outcome variables. The geriatric assessment is a key tool for long-term qualitative outcome, while immediate severity accounts for acute mortality. A poor functional baseline reduces the chances of a successful outcome following ICU. This review emphasises the importance of using a geriatric assessment and considering the older patient as a whole, rather than the acute illness in isolation, when making decisions regarding intensive care treatment.

Predictive Value of PRISMA-7, qSOFA, ESI, and CFS for 28-Day Mortality in Elderly Patients in the Emergency Department

Background

To explore the predictive value of the Programme on Research for Integrating Services for the Maintenance of Autonomy 7 (PRISMA-7), quick Sequential Organ Failure Assessment (qSOFA) score, Emergency Severity Index (ESI), and Clinical Frailty Scale (CFS) on the 28-day mortality risk in emergency elderly patients.

Methods

A multicenter prospective observational study was conducted to select elderly patients (≥65 years old) admitted to the emergency department of three Grade-A hospitals in different regions of China from January 2020 to March 2022. Primary data were collected at the time of admission. All patients were followed up for 28 days. The primary outcome was 28-day mortality. The predictive value of four scoring systems for 28-day mortality in elderly emergency patients was assessed by receiver operating characteristic (ROC) and logistic regression analysis.

Results

A total of 687 elderly emergency patients were enrolled, of whom 66 (9.61%) died within 28 days. Age, ICU admission rate, PRISMA-7, qSOFA, and CFS were significantly higher in the death group than in the survival group (P < 0.05), and ESI was lower than in the survival group (P < 0.001). The AUC for CFS was the largest of the four scoring systems at 0.80. According to the Youden index, the optimal cutoff values for PRISMA-7, qSOFA, ESI, and CFS were >3.5, >0.5, <2.5, and >4.5, respectively. Logistic regression revealed that qSOFA and CFS were the primary risk factors for increased 28-day mortality in elderly emergency patients (P < 0.001). The combined predictor L (L=X1+0.50X2, X1 and X2 are qSOFA and CFS values, respectively) had an AUC of 0.86 and a cutoff value >2.75.

Conclusion

PRISMA-7, qSOFA, ESI, CFS, and the combined qSOFA+CFS predictor were all effective predictors of 28-day mortality risk in elderly emergency patients, with the combined qSOFA+CFS predictor having the best predictive power.

Medium and long-term prognosis in hospitalised older adults with multimorbidity. A prospective cohort study

BACKGROUND

Data about long-term prognosis after hospitalisation of elderly multimorbid patients remains scarce.

OBJECTIVES

Evaluate medium and long-term prognosis in hospitalised patients older than 75 years of age with multimorbidity. Explore the impact of gender, age, frailty, physical dependence, and chronic diseases on mortality over a seven-year period.

METHODS

We included prospectively all patients hospitalised for medical reasons over 75 years of age with two or more chronic illnesses in a specialised ward. Data on chronic diseases were collected using the Charlson comorbidity index and a questionnaire for disorders not included in this index. Demographic characteristics, Clinical Frailty Scale, Barthel index, and complications during hospitalisation were collected.

RESULTS

514 patients (46% males) with a mean age of 85 (± 5) years were included. The median follow-up was 755 days (interquartile range 25-75%: 76-1,342). Mortality ranged from 44% to 68%, 82% and 91% at one, three, five, and seven years. At inclusion, men were slightly younger and with lower levels of physical impairment. Nevertheless, in the multivariate analysis, men had higher mortality (p<0.001; H.R.:1.43; 95% C.I.95%:1.16-1.75). Age, Clinical Frailty Scale, Barthel, and Charlson indexes were significant predictors in the univariate and multivariate analysis (all p<0.001). Dementia and neoplastic diseases were statistically significant in the unadjusted but not the adjusted model. In a cluster analysis, three patterns of patients were identified, with increasing significant mortality differences between them (p<0.001; H.R.:1.67; 95% CI: 1.49-1.88).

CONCLUSIONS

In our cohort, individual diseases had a limited predictive prognostic capacity, while the combination of chronic illness, frailty, and physical dependence were independent predictors of survival.

The role of clinical phenotypes in decisions to limit life-sustaining treatment for very old patients in the ICU

BACKGROUND

Limiting life-sustaining treatment (LST) in the intensive care unit (ICU) by withholding or withdrawing interventional therapies is considered appropriate if there is no expectation of beneficial outcome. Prognostication for very old patients is challenging due to the substantial biological and functional heterogeneity in that group. We have previously identified seven phenotypes in that cohort with distinct patterns of acute and geriatric characteristics. This study investigates the relationship between these phenotypes and decisions to limit LST in the ICU.

METHODS

This study is a post hoc analysis of the prospective observational VIP2 study in patients aged 80 years or older admitted to ICUs in 22 countries. The VIP2 study documented demographic, acute and geriatric characteristics as well as organ support and decisions to limit LST in the ICU. Phenotypes were identified by clustering analysis of admission characteristics. Patients who were assigned to one of seven phenotypes (n = 1268) were analysed with regard to limitations of LST.

RESULTS

The incidence of decisions to withhold or withdraw LST was 26.5% and 8.1%, respectively. The two phenotypes describing patients with prominent geriatric features and a phenotype representing the oldest old patients with low severity of the critical condition had the largest odds for withholding decisions. The discriminatory performance of logistic regression models in predicting limitations of LST after admission to the ICU was the best after combining phenotype, ventilatory support and country as independent variables.

CONCLUSIONS

Clinical phenotypes on ICU admission predict limitations of LST in the context of cultural norms (country). These findings can guide further research into biases and preferences involved in the decision-making about LST. Trial registration Clinical Trials NCT03370692 registered on 12 December 2017.

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/ ).

COVID-19 does not influence functional status after ARDS therapy

RATIONALE

Health-related quality of life after surviving acute respiratory distress syndrome has come into focus in recent years, especially during the coronavirus disease 2019 pandemic.

OBJECTIVES

A total of 144 patients with acute respiratory distress syndrome caused by COVID-19 or of other origin were recruited in a randomized multicenter trial.

METHODS

Clinical data during intensive care treatment and data up to 180 days after study inclusion were collected. Changes in the Sequential Organ Failure Assessment score were used to quantify disease severity. Disability was assessed using the Barthel index on days 1, 28, 90, and 180.

MEASUREMENTS

Mortality rate and morbidity after 180 days were compared between patients with and without COVID-19. Independent risk factors associated with high disability were identified using a binary logistic regression.

MAIN RESULTS

The SOFA score at day 5 was an independent risk factor for high disability in both groups, and score dynamic within the first 5 days significantly impacted disability in the non-COVID group. Mortality after 180 days and impairment measured by the Barthel index did not differ between patients with and without COVID-19.

CONCLUSIONS

Resolution of organ dysfunction within the first 5 days significantly impacts long-term morbidity. Acute respiratory distress syndrome caused by COVID-19 was not associated with increased mortality or morbidity.

Musculoskeletal health state and physical function of intensive care unit survivors: protocol for a UK multicentre prospective cohort study (the MSK-ICU study)

INTRODUCTION

Survivors of critical illness frequently experience long-term physical impairment, decreased health-related quality of life and low rates of return to employment. There has been limited investigation of the underlying problems affecting physical function post-intensive care unit (ICU) admission. Musculoskeletal (MSK) conditions may be complex in presentation, with ICU survivors potentially at greater risk of their development due to the rapid muscle mass loss seen in ICU. The MSK health state of ICU survivors and its impact on physical function remain largely unknown. The aim of the MSK-ICU study is to determine and characterise the MSK health state of ICU survivors 6 months following admission to ICU, in order to inform development of targeted rehabilitation interventions.

METHODS AND ANALYSIS

The MSK-ICU study is a multicentre prospective longitudinal cohort study, evaluating the MSK health state of ICU survivors 6 months after admission to ICU. The study consists of a primary study and two substudies. The primary study will be a telephone follow-up of adults admitted to ICU for more than 48 hours, collecting data on MSK health state, quality of life, employment, anxiety and depression and symptoms of post-traumatic stress disorder. The planned sample size is 334 participants. Multivariable regression will be used to identify prognostic factors for a worse MSK health state, as measured by the MSK-Health Questionnaire. In substudy 1, participants who self-report any MSK problem will undergo a detailed, in-person MSK physical assessment of pain, peripheral joint range of movement and strength. In substudy 2, participants reporting a severe MSK problem will undergo a detailed physical assessment of mobility, function and muscle architecture.

ETHICS AND DISSEMINATION

Ethical approval has been obtained through the North of Scotland Research Ethics Committee 2 (21/NS/0143). We aim to disseminate the findings through international conferences, international peer-reviewed journals and social media.

TRIAL REGISTRATION NUMBER

ISRCTN24998809.

Clinical frailty and outcome after mechanical thrombectomy for stroke in patients aged ≥ 80 years

OBJECTIVES

Data concerning the results of endovascular thrombectomy (EVT) in old patients is still limited. We aimed to investigate the outcomes in thrombectomy-treated ischemic stroke patients aged ≥ 80 years, focusing on frailty as a contributing factor.

PATIENTS AND METHODS

We performed a single-centre retrospective cohort study with 159 consecutive patients aged ≥ 80 years and treated with EVT for acute ischemic stroke between January 1st 2016 and December 31st 2019. Pre-admission frailty was assessed with the Clinical Frailty Scale (CFS). Patients with CFS ≥ 5 were defined as frail. The main outcome was very poor outcome defined as mRS 4-6 at three months after EVT. Secondary outcomes were recanalization status, symptomatic intracerebral haemorrhage (sICH), and one-year survival. Finally, we recorded if the patient returned home within 12 months.

RESULTS

Very poor outcome was observed in 57.9% of all patients (52.4% in non-frail and 79.4% in frail patients). Rates of recanalization and sICH were comparable in frail and non-frail patients. Of all patients, 46.5% were able to live at home within 1 year after stroke. One-year survival was 59.1% (65.6% in non-frail and 35.3% in frail patients). In logistic regression analysis higher admission NIHSS, not performing thrombolysis, lack of recanalization and higher frailty status were all independently associated with very poor three-month outcome. Factors associated with one-year mortality were male gender, not performing thrombolysis, sICH, and higher frailty status.

CONCLUSION

Almost 60% of studied patients had very poor outcome. Frailty significantly increases the likelihood of very poor outcome and death after EVT-treated stroke.

Preparing for the Worst-Case Scenario in a Pandemic: Intensivists Simulate Prioritization and Triage of Scarce ICU Resources

OBJECTIVES

Simulation and evaluation of a prioritization protocol at a German university hospital using a convergent parallel mixed methods design.

DESIGN

Prospective single-center cohort study with a quantitative analysis of ICU patients and qualitative content analysis of two focus groups with intensivists.

SETTING

Five ICUs of internal medicine and anesthesiology at a German university hospital.

PATIENTS

Adult critically ill ICU patients ( n = 53).

INTERVENTIONS

After training the attending senior ICU physicians ( n = 13) in rationing, an impending ICU congestion was simulated. All ICU patients were rated according to their likelihood to survive their acute illness (good-moderate-unfavorable). From each ICU, the two patients with the most unfavorable prognosis ( n = 10) were evaluated by five prioritization teams for triage.

MEASUREMENTS AND MAIN RESULTS

Patients nominated for prioritization visit ( n = 10) had higher Sequential Organ Failure Assessment scores and already a longer stay at the hospital and on the ICU compared with the other patients. The order within this worst prognosis group was not congruent between the five teams. However, an in-hospital mortality of 80% confirmed the reasonable match with the lowest predicted probability of survival. Qualitative data highlighted the tremendous burden of triage and the need for a team-based consensus-oriented decision-making approach to ensure best possible care and to support professionals. Transparent communication within the teams, the hospital, and to the public was seen as essential for prioritization implementation.

CONCLUSIONS

To mitigate potential bias and to reduce the emotional burden of triage, a consensus-oriented, interdisciplinary, and collaborative approach should be implemented. Prognostic comparative assessment by intensivists is feasible. The combination of long-term ICU stay and consistently high Sequential Organ Failure Assessment scores resulted in a greater risk for triage in patients. It remains challenging to reliably differentiate between patients with very low chances to survive and requires further conceptual and empirical research.

Long-term recovery after critical illness in older adults

PURPOSE OF REVIEW

The population is aging, and recent epidemiologic work reveals that an increasing number of older adults are presenting to the ICU with preexisting geriatric syndromes. In this update, we discuss recent literature pertaining to the long-term recovery of older ICU patients and highlight gaps in current knowledge.

RECENT FINDINGS

A recent longitudinal study demonstrated that the incidence of frailty, disability, and multimorbidity among older ICU patients is rising; these geriatric syndromes have all previously been shown to impact long-term recovery. Recent studies have demonstrated the impact of social factors in long-term outcomes after critical illness; for example, social isolation was recently shown to be associated with disability and mortality among older adults in the year after critical illness. Socioeconomic disadvantage is associated with higher rates of dementia and disability following critical illness impacting recovery, and further studies are necessary to better understand factors influencing this disparity. The COVID-19 pandemic disproportionately impacted older adults, resulting in worse outcomes and increased rates of functional decline and social isolation. In considering how to best facilitate recovery for older ICU survivors, transitional care programs may address the unique needs of older adults and help them adapt to new disability if recovery has not been achieved.

SUMMARY

Recent work demonstrates increasing trends of geriatric syndromes in the ICU, all of which are known to confer increased vulnerability among critically ill older adults and decrease the likelihood of post-ICU recovery. Risk factors are now known to extend beyond geriatric syndromes and include social risk factors and structural inequity. Strategies to improve post-ICU recovery must be viewed with a lens across the continuum of care, with post-ICU recovery programs targeted to the unique needs of older adults.

The clinical frailty scale as a triage tool for ICU admission of dialysis patients with COVID-19 - An ERACODA analysis

Background

Several guidelines recommend using the Clinical Frailty Scale (CFS) for triage of critically ill coronavirus disease 2019 (COVID-19) patients. This study evaluates the impact of CFS on intensive care unit (ICU) admission rate and hospital and ICU mortality rates in hospitalized dialysis patients with COVID-19.

Methods

We analysed data of dialysis patients diagnosed with COVID-19 from the European Renal Association COVID-19 Database. The primary outcome was ICU admission rate and secondary outcomes were hospital and ICU mortality until 3 months after COVID-19 diagnosis. Cox regression analyses were performed to assess associations between CFS and outcomes.

Results

A total of 1501 dialysis patients were hospitalized due to COVID-19, of whom 219 (15%) were admitted to an ICU. The ICU admission rate was lowest (5%) in patients >75 years of age with a CFS of 7–9 and highest (27%) in patients 65–75 years of age with a CFS of 5. A CFS of 7–9 was associated with a lower ICU admission rate than a CFS of 1–3 [relative risk 0.49 (95% confidence interval 0.27–0.87)]. Overall, mortality at 3 months was 34% in hospitalized patients, 65% in ICU-admitted patients and highest in patients >75 years of age with a CFS of 7–9 (69%). Only 9% of patients with a CFS ≥6 survived after ICU admission. After adjustment for age and sex, each CFS category ≥4 was associated with higher hospital and ICU mortality compared with a CFS of 1–3.

Conclusions

Frail dialysis patients with COVID-19 were less frequently admitted to the ICU. Large differences in mortality rates between fit and frail patients suggest that the CFS may be a useful complementary triage tool for ICU admission in dialysis patients with COVID-19.

Cardiogenic shock among cancer patients

Sophisticated cancer treatments, cardiovascular risk factors, and aging trigger acute cardiovascular diseases in an increasing number of cancer patients. Among acute cardiovascular diseases, cancer treatment, as well as the cancer disease itself, may induce a cardiogenic shock. Although increasing, these cardiogenic shocks are still relatively limited, and their management is a matter of debate in cancer patients. Etiologies that cause cardiogenic shock are slightly different from those of non-cancer patients, and management has some specific features always requiring a multidisciplinary approach. Recent guidelines and extensive data from the scientific literature can provide useful guidance for the management of these critical patients. Even if no etiologic therapy is available, maximal intensive supportive measures can often be justified, as most of these cardiogenic shocks are potentially reversible. In this review, we address the major etiologies that can lead to cardiogenic shock in cancer patients and discuss issues related to its management.

Acquisition of new medical devices among the persistently critically ill: A retrospective cohort study in the Veterans Affairs

Patients who develop persistent critical illness remain in the ICU predominately because they develop new late-onset organ failure(s), which may render them at risk of acquiring a new medical device. The epidemiology and short-term outcomes of patients with persistent critical illness who acquire a new medical device are unknown. We retrospectively studied a cohort admitted to the Veterans Affairs (VA) ICUs from 2014 to 2019. Persistent critical illness was defined as an ICU length of stay of at least 14 days. Receipt of new devices was defined as acquisition of a new tracheostomy, feeding tube (including gastrostomy and jejunostomy tubes), implantable cardiac device, or ostomy. Logistic regression models were fit to identify patient factors associated with the acquisition of each new medical device. Among hospitalized survivors, 90-day posthospitalization discharge location and mortality were identified. From 2014 to 2019, there were 13,184 ICU hospitalizations in the VA which developed persistent critical illness. In total, 30.4% of patients (N = 3998/13,184) acquired at least 1 medical device during their persistent critical illness period. Patients with an initial higher severity of illness and prolonged hospital stay preICU admission had higher odds of acquiring each medical device. Among patients who survived their hospitalization, discharge location and mortality did not significantly differ among those who acquired a new medical device as compared to those who did not. Less than one-third of patients with persistent critical illness acquire a new medical device and no significant difference in short-term outcomes was identified. Future work is needed to understand if the acquisition of new medical devices is contributing to the development of persistent critical illness.

Prevalence, characteristics, and longer-term outcomes of patients with persistent critical illness attributable to COVID-19 in Scotland: a national cohort study

BACKGROUND

Patients with COVID-19 can require critical care for prolonged periods. Patients with persistent critical Illness can have complex recovery trajectories, but this has not been studied for patients with COVID-19. We examined the prevalence, risk factors, and long-term outcomes of critically ill patients with COVID-19 and persistent critical illness.

METHODS

This was a national cohort study of all adults admitted to Scottish critical care units with COVID-19 from March 1, 2020 to September 4, 20. Persistent critical illness was defined as a critical care length of stay (LOS) of ≥10 days. Outcomes included 1-yr mortality and hospital readmission after critical care discharge. Fine and Gray competing risk analysis was used to identify factors associated with persistent critical Illness with death as a competing risk.

RESULTS

A total of 2236 patients with COVID-19 were admitted to critical care; 1045 patients were identified as developing persistent critical Illness, comprising 46.7% of the cohort but using 80.6% of bed-days. Patients with persistent critical illness used more organ support, had longer post-critical care LOS, and longer total hospital LOS. Persistent critical illness was not significantly associated with long-term mortality or hospital readmission. Risk factors associated with increased hazard of persistent critical illness included age, illness severity, organ support on admission, and fewer comorbidities.

CONCLUSIONS

Almost half of all patients with COVID-19 admitted to critical care developed persistent critical illness, with high resource use in critical care and beyond. However, persistent critical illness was not associated with significantly worse long-term outcomes compared with patients who were critically ill for shorter periods.

Chronic critical illness in polytrauma. Results of the Spanish trauma in ICU registry

PURPOSE

Chronic critical illness after trauma injury has not been fully evaluated, and there is little evidence in this regard. We aim to describe the prevalence and risk factors of chronic critical illness (CCI) in trauma patients admitted to the intensive care unit.

MATERIAL AND METHODS

Retrospective observational multicenter study (Spanish Registry of Trauma in ICU (RETRAUCI)). Period March 2015 to December 2019. Trauma patients admitted to the ICU, who survived the first 48 h, were included. Chronic critical illness (CCI) was considered as the need for mechanical ventilation for a period greater than 14 days and/or placement of a tracheostomy. The main outcomes measures were prevalence and risk factors of CCI after trauma.

RESULTS

1290/9213 (14%) patients developed CCI. These patients were older (51.2 ± 19.4 vs 49 ± 18.9); p < .01) and predominantly male (79.9%). They presented a higher proportion of infectious complications (81.3% vs 12.7%; p < .01) and multiple organ dysfunction syndrome (MODS) (27.02% vs 5.19%; p < .01). CCI patients required longer stays in the ICU and had higher ICU and overall in-hospital mortality. Age, injury severity score, head injury, infectious complications, and development of MODS were independent predictors of CCI.

CONCLUSION

CCI in trauma is a prevalent entity in our series. Early identification could facilitate specific interventions to change the trajectory of this process.