The impact of frailty on ICU and 30-day mortality and the level of care in very elderly patients (≥ 80 years)

In-Hospital Triage

The intensive care unit (ICU) is a finite and expensive resource with demand not infrequently exceeding capacity. Understanding ICU capacity strain is essential to gain situational awareness. Increased capacity strain can influence ICU triage decisions, which rely heavily on clinical judgment. Having an admission and triage protocol with which clinicians are very familiar can mitigate difficult, inappropriate admissions. This article reviews these concepts and methods of in-hospital triage.

Frailty in severe COVID-19 survivors after ICU admission. A prospective and multicenter study in Mexico

OBJECTIVE

To analyze the presence of frailty in survivors of severe COVID-19 admitted in the Intensive Care Unit (ICU) and followed six months after discharge.

DESIGN

An observational, prospective and multicenter, nation-wide study.

SETTING

Eight adult ICU across eight academic acute care hospitals in Mexico.

PATIENTS

All consecutive adult COVID-19 patients admitted in the ICU with acute respiratory failure between March 8, 2020 to February 28, 2021 were included. Frailty was defined according to the FRAIL scale, and was obtained at ICU admission and 6-month after hospital discharge.

INTERVENTIONS

None.

MAIN VARIABLES OF INTEREST

The primary endpoint was the frailty status 6-months after discharge. A regression model was used to evaluate the predictors during ICU stay associated with frailty.

RESULTS

196 ICU survivors were evaluated for basal frailty at ICU admission and were included in this analysis. After 6-months from discharge, 164 patients were evaluated for frailty: 40 patients (20.4%) were classified as non-frail, 67 patients (34.2%) as pre-frail and 57 patients (29.1%) as frail. After adjustment, the need of invasive mechanical ventilation was the only factor independently associated with frailty at 6 month follow-up (Odds Ratio [OR] 3.70, 95% confidence interval 1.40-9.81, P = .008).

CONCLUSIONS

Deterioration of frailty was reported frequently among ICU survivors with severe COVID-19 at 6-months. The need of invasive mechanical ventilation in ICU survivors was the only predictor independently associated with frailty.

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.

Age Distribution and Clinical Results of Critically Ill Patients above 65-Year-Old in an Aging Society: A Retrospective Cohort Study

BACKGROUND

Increasing age has been observed among patients admitted to the intensive care unit (ICU). Age traditionally considered a risk factor for ICU mortality. We investigated how the epidemiology and clinical outcomes of older ICU patients have changed over a decade.

METHODS

We analyzed patients admitted to the ICU at a university hospital in Seoul, South Korea. We defined patients aged 65 and older as older patients. Changes in age groups and mortality risk factors over the study period were analyzed.

RESULTS

A total of 32,322 patients were enrolled who aged ≥65 years admitted to the ICUs between January 1, 2007, and December 31, 2017. Patients aged ≥65 years accounted for 35% and of these, the older (O, 65 to 74 years) comprised 19,630 (66.5%), very older (VO, 75 to 84 years) group 8,573 (29.1%), and very very older (VVO, ≥85 years) group 1,300 (4.4%). The mean age of ICU patients over the study period increased (71.9±5.6 years in 2007 vs. 73.2±6.1 years in 2017) and the proportions of the VO and VVO group both increased. Over the period, the proportion of female increased (37.9% in 2007 vs. 43.3% in 2017), and increased ICU admissions for medical reasons (39.7% in 2007 vs. 40.2% in 2017). In-hospital mortality declined across all older age groups, from 10.3% in 2007 to 7.6% in 2017. Hospital length of stay (LOS) decreased in all groups, but ICU LOS decreased only in the O and VO groups.

CONCLUSION

The study indicates a changing demographic in ICUs with an increase in older patients, and suggests a need for customized ICU treatment strategies and resources.

Frailty assessment in critically ill older adults: a narrative review

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

Association between modified frailty index and postoperative delirium in patients after cardiac surgery: A cohort study of 2080 older adults

AIM

To evaluate the association between frailty and postoperative delirium (POD) in elderly cardiac surgery patients.

METHODS

A retrospective study was conducted of older patients admitted to the intensive care unit after cardiac surgery at a tertiary academic medical center in Boston from 2008 to 2019. Frailty was measured using the Modified Frailty Index (MFI), which categorized patients into frail (MFI ≥3) and non-frail (MFI = 0-2) groups. Delirium was identified using the confusion assessment method for the intensive care unit and nursing notes. Logistic regression models were used to examine the association between frailty and POD, and odds ratios (OR) with 95% confidence intervals (CI) were calculated.

RESULTS

Of the 2080 patients included (median age approximately 74 years, 30.9% female), 614 were frail and 1466 were non-frail. The incidence of delirium was significantly higher in the frail group (29.2% vs. 16.4%, p < 0.05). After adjustment for age, sex, race, marital status, Acute Physiology Score III (APSIII), sequential organ failure assessment (SOFA), albumin, creatinine, hemoglobin, white blood cell count, type of surgery, alcohol use, smoking, cerebrovascular disease, use of benzodiazepines, and mechanical ventilation, multivariate logistic regression indicated a significantly increased risk of delirium in frail patients (adjusted OR: 1.61, 95% CI: 1.23-2.10, p < 0.001, E-value: 1.85).

CONCLUSIONS

Frailty is an independent risk factor for POD in older patients after cardiac surgery. Further research should focus on frailty assessment and tailored interventions to improve outcomes.

Ethical issues surrounding appropriate care for older persons in the Intensive Care Unit

Increasing numbers of older patients are being admitted to the Intensive Care Unit (ICU) as the world's population ages. The biological process of ageing, senescence, results in altered ability to maintain normal homeostasis and organ function, including of the cardiovascular, immune, and neuromuscular systems. This contributes towards increased frailty in older patients, associated with functional limitations and increased vulnerability. Although widely defined using chronological age, the concept of "old age" is thus multifactorial, including biological, but also psychological and sociocultural aspects, which should all be taken into account when considering what is appropriate in terms of ICU admission and management. As for all patients, but perhaps particularly in this subgroup, decisions regarding ICU admission and treatment and the withdrawing and withholding of life support must be individualized.

Critical care beyond organ support: the importance of geriatric rehabilitation

Very old critically ill patients pose a growing challenge for intensive care. Critical illness and the burden of treatment in the intensive care unit (ICU) can lead to a long-lasting decline of functional and cognitive abilities, especially in very old patients. Multi-complexity and increased vulnerability to stress in these patients may lead to new and worsening disabilities, requiring careful assessment, prevention and rehabilitation. The potential for rehabilitation, which is crucial for optimal functional outcomes, requires a systematic, multi-disciplinary approach and careful long-term planning during and following ICU care. We describe this process and provide recommendations and checklists for comprehensive and timely assessments in the context of transitioning patients from ICU to post-ICU and acute hospital care, and review the barriers to the provision of good functional outcomes.

Exploring the Impact of Age, Frailty, and Multimorbidity on the Effect of ICU Interventions: A Systematic Review of Randomized Controlled Trials

OBJECTIVES

To date, age, frailty, and multimorbidity have been used primarily to inform prognosis in older adults. It remains uncertain, however, whether these patient factors may also predict response to critical care interventions or treatment outcomes.

DATA SOURCES

We conducted a systematic search of top general medicine and critical care journals for randomized controlled trials (RCTs) examining critical care interventions published between January 1, 2011, and December 31, 2021.

STUDY SELECTION

We included RCTs of critical care interventions that examined any one of three subgroups-age, frailty, or multimorbidity. We excluded cluster RCTs, studies that did not report interventions in an ICU, and studies that did not report data examining subgroups of age, frailty, or multimorbidity.

DATA EXTRACTION

We collected study characteristics (single vs. multicountry enrollment, single vs. multicenter enrollment, funding, sample size, intervention, comparator, primary outcome and secondary outcomes, length of follow-up), study population (inclusion and exclusion criteria, average age in intervention and comparator groups), and subgroup data. We used the Instrument for assessing the Credibility of Effect Modification Analyses instrument to evaluate the credibility of subgroup findings.

DATA SYNTHESIS

Of 2037 unique citations, we included 48 RCTs comprising 50,779 total participants. Seven (14.6%) RCTs found evidence of statistically significant effect modification based on age, whereas none of the multimorbidity or frailty subgroups found evidence of statistically significant subgroup effect. Subgroup credibility ranged from very low to moderate.

CONCLUSIONS

Most critical care RCTs do not examine for subgroup effects by frailty or multimorbidity. Although age is more commonly considered, the cut-point is variable, and relative effect modification is rare. Although interventional effects are likely similar across age groups, shared decision-making based on individual patient preferences must remain a priority. RCTs focused specifically on critically ill older adults or those living with frailty and/or multimorbidity are crucial to further address this research question.

A prolonged intensive care unit stay defines a worse long-term prognosis - Insights from the critically ill mortality by age (Cimba) study

BACKGROUND

Patients with critical illness often survive the intensive care unit (ICU) at a cost of prolonged length of stay (LOS) and slow recovery. This chronic critically ill disease may lead to long-term poor outcomes, especially in older or frail patients.

OBJECTIVES

The main goal of this study was to address the characteristics and outcomes of patients with prolonged ICU LOS. Mainly, short- and long-term admissions were compared to identify risk factors for persistent critical illness and to characterise the impact on ICU, hospital, and long-term mortality.

METHODS

Subanalysis of a retrospective, multicentric, observational study addressing the 2-year outcome of patients admitted to Portuguese ICUs (the Cimba study). Patients were segregated according to an ICU LOS of ≥14 days.

RESULTS

Data from 37 118 patients were analysed, featuring a median ICU LOS of 4 days (percentile: 25-75 2-9), and a mortality of 16.1% in the ICU, 24.0% in the hospital, and 38.7% after 2 years. A total of 5334 patients (14.4%) had an ICU LOS of ≥14 days (corresponding to 48.9% of all ICU patients/days). Patients with prolonged LOS were more often younger (52.8% vs 46.4%, were ≤65 years of age , p < 0.001), although more severe (Simplified Acute Physiology Score II: 49.1 ± 16.9 vs 41.8 ± 19.5, p < 0.001), and had higher ICU and hospital mortality (18.3% vs 15.7%, and 31.2 vs 22.8%, respectively). Prolonged ICU LOS was linked to an increased risk of dying during the 2-year follow-up (adjusted Cox proportional hazard: 1.65, p < 0.001).

CONCLUSION

Prolonged LOS is associated with a long-term impact on patient prognosis. More careful planning of care should incorporate these data.

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.

The association of premorbid conditions with 6-month mortality in acutely admitted ICU patients over 80 years

BACKGROUND

Premorbid conditions influence the outcome of acutely ill adult patients aged 80 years and over who are admitted to the ICU. The aim of this study was to determine the influence of such premorbid conditions on 6 month survival.

METHODS

Prospective cohort study in 242 ICUs from 22 countries including patients 80 years or above, admitted over a 6 months period to an ICU between May 2018 and May 2019. Only emergency (acute) ICU admissions in adult patients ≥ 80 years of age were eligible. Patients who were admitted after planned/elective surgery were excluded. We measured the Clinical Frailty Scale (CFS), the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE), disability with the Katz activities of daily living (ADL) score, comorbidities and a Polypharmacy Score (CPS).

RESULTS

Overall, the VIP2 study included 3920 patients. During ICU stay 1191 patients died (30.9%), and another 436 patients (11.1%) died after ICU discharge but within the first 30 days of admission, and an additional 895 patients died hereafter but within the first 6 months after admission (22.8%). The 6 months mortality was 64%. The median CFS was 4 (IQR 3-6). Frailty (CFS ≥ 5) was present in 26.6%. Cognitive decline (IQCODE above 3.5) was found in 30.2%. The median IQCODE was 3.19. A Katz ADL of 4 or less was present in 27.7%. Patients who surviving > 6 months were slightly younger (median age survivors 84 with IQR 81-86) than patients dying within the first 6 months (median age 84, IQR 82-87, p = 0.013), were less frequently frail (CFS > 5 in 19% versus 34%, p < 0.01) and were less dependent based on their Katz activities of daily living measurement (median Katz score 6, IQR 5-6 versus 6 points, IQR 3-6, p < 0.01).

CONCLUSIONS

We found that Clinical Frailty Scale, age, and SOFA at admission were independent prognostic factors for 6 month mortality after ICU admission in patients age 80 and above. Adding other geriatric syndromes and scores did not improve the model. This information can be used in shared-decision making.

CLINICALTRIALS

gov: NCT03370692.

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

BACKGROUND

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

OBJECTIVES

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Prevalence of life-sustaining treatment limitations in Polish very old intensive care patients (VIPs). A post-hoc analysis of two prospective observational studies

PURPOSE

Several initiatives have recently focused on raising awareness about limitations of treatment in Poland. We aimed to assess if the propensity to limit LST among elderly patients in 2018-2019 increased compared to 2016-2017.

METHODS

We analysed Polish cohorts from studies VIP1 (October 2016 - May 2017) and VIP2 (May 2018 - May 2019) that enrolled critical patients aged >80. We collected data on demographics, clinical features limitations of LST. Primary analysis assessed factors associated with prevalence of limitations of LST, A secondary analysis explored differences between patients with and without limitations of LST.

RESULTS

601 patients were enrolled. Prevalence of LST limitations was 16.1% in 2016-2017 and 20.5% in 2018-2019. No difference was found in univariate analysis (p = 0.22), multivariable model showed higher propensity towards limiting LST in the 2018-2019 cohort compared to 2016-2017 cohort (OR 1.07;95%CI, 1.01-1.14). There was higher mortality and a longer length of stay of patients with limitations of LST compared to the patients without limitations of LST. (11 vs. 6 days, p = 0.001).

CONCLUSIONS

The clinicians in Poland have become more proactive in limiting LST in critically ill patients ≥80 years old over the studied period, however the prevalence of limitations of LST in Poland remains low.

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.

Mediterranean diet associated with lower frailty risk: A large cohort study of 21,643 women admitted to hospitals

BACKGROUND

Mediterranean diet is traditionally considered as a healthy dietary pattern, while its association with frailty has not been confirmed. This study investigated associations between Mediterranean diet and risk of frailty among women admitted to hospitals in England from an older-aged women's cohort study.

METHODS

A modified Mediterranean diet was evaluated from a validated 217-item food frequency questionnaire. Incident frailty was determined using a hospital frailty risk score based on linkage to Hospital Episode Statistics up to March 2019. Cox proportional hazard models were conducted to estimate hazard ratios (HR) and 95% confidence intervals (CI). Further subgroup analyses stratified by age and body mass index (BMI), and sensitivity analyses were additionally explored.

RESULTS

Over a mean follow-up of 13 years, there were 14,838 (68.6%) cases of frailty out of 21,643 individuals included in this study. Compared with low adherence to Mediterranean diet, moderate adherence was associated with 5% (HR = 0.95, 95%CI: 0.91, 0.99) lower risk of frailty, with high adherence associated with even lower risk (HR = 0.89, 95%CI: 0.85, 0.94). The magnitude of above associations remained consistent in subgroups stratified by age and BMI, except the association between moderate adherence and risk of frailty was attenuated in the ≥60-year (HR = 0.99, 95%CI: 0.93, 1.06) and the BMI > 24.9 kg/m2 (HR = 0.97, 95%CI: 0.91, 1.03) subgroups.

CONCLUSIONS

Adherence to Mediterranean diet was associated with lower risk of frailty. The better the adherence, the greater the magnitude of the protective association. Older and overweight women may potentially benefit from greater adherence to the Mediterranean diet regarding frailty prevention.

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

INTRODUCTION

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Impact of age on mortality and transfer to long-term care in patients in an intensive care unit

BACKGROUND

In the global trend of population aging, age is one of the significant factors to be considered in critically ill patients. However, the impact of age on clinical outcomes and long-term prognosis in this population varies across different studies.

METHODS

We conducted a retrospective cohort analysis for patients admitted to the medical intensive care unit (ICU) (30 beds) between January 2017 and December 2020 at the tertiary referral hospital in Korea. Patients were classified into three groups according to age: <65 years, old age (65-79 years), and very old age (≥ 80 years). Subsequently, enrolled patients were analyzed for acute mortality and long-term prognosis.

RESULTS

Among the 1584 patients, the median age was 67.0 (57.0-76.0) years, and 65.2% were male. Median ICU length of stay (LOS) (8, 9, and 10 days in < 65, 65-79, and ≥ 80 years, respectively; p = 0.006) and the proportion of patients who were transferred to long-term care hospital at the time of discharge (12.9% vs. 28.3% vs. 39.4%, respectively; p < 0.001) increased with age. Multivariable logistic analysis showed no significant difference in the 28-day mortality in the old age (adjusted odds ratio [aOR] 0.88; 95% confidence interval [CI] 0.65-1.17) and very old age (aOR 1.05; 95% CI 0.71-1.55) groups compared to that in patients with age < 65 years. However, the relevance of the proportion of ICU LOS ≥ 7 days and transfers to other hospitals after discharge increased with age.

CONCLUSIONS

Age did not affect acute mortality in critical illness patients. However, surviving older age groups required more long-term care facilities compared to patients younger than 65 years after acute management. These results indicate that in an aging society, the importance of not only acute management but also long-term care facilities may increase for critical illness patients.

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.

Causal association between air pollution and frailty: a Mendelian randomization study

Backgrounds

Frailty is a significant problem for older persons since it is linked to a number of unfavorable consequences. According to observational researches, air pollution may raise the risk of frailty. We investigated the causal association between frailty and air pollution (including PM2.5, PM2.5-10, PM10, nitrogen dioxide, and nitrogen oxides) using Mendelian randomization approach.

Methods

We conducted MR analysis using extensive publically accessible GWAS (genome-wide association studies) summary data. The inverse variance weighted (IVW) method was employed as the primary analysis method. The weighted median model, MR-Egger, simple model, and weighted model approaches were chosen for quality control. The Cochran's Q test was utilized to evaluate heterogeneity. Pleiotropy is found using the MR-Egger regression test. The MR-PRESSO method was used to recognize outliers. The leave-one-out strategy was used to conduct the sensitivity analysis.

Results

MR results suggested that PM2.5 was statistically significantly associated with frailty [odds ratio (OR) = 1.33; 95%confidence interval (CI) = 1.12-1.58, p = 0.001] in IVW method. We observed no statistical association between PM2.5-10(OR = 1.00, 95% CI = 0.79-1.28, p = 0.979), PM10(OR = 0.91, 95% CI = 0.75-1.11, p = 0.364), nitrogen dioxide (OR = 0.98, 95% CI = 0.85-1.12, p = 0.730), nitrogen oxides (OR = 1.15, 95% CI = 0.98-1.36, p = 0.086) and frailty. There was no pleiotropy in the results. The sensitivity analysis based on the leave-one-out method showed that the individual single nucleotide polymorphisms (SNPs) did not affect the robustness of the results.

Conclusion

The current MR investigation shows a causal association between PM2.5 and frailty. Frailty's detrimental progression may be slowed down with the help of air pollution prevention and control.

Self-reported symptoms experienced by intensive care unit patients: a prospective observational multicenter study

PURPOSE

The purpose of this study is to describe the prevalence, intensity and distress of five symptoms in intensive care unit (ICU) patients and to investigate possible predictive factors associated with symptom intensity.

METHODS

This is a prospective cohort study of ICU patients. A symptom questionnaire (i.e., Patient Symptom Survey) was used to describe the prevalence, intensity and distress of pain, thirst, anxiousness, tiredness, and shortness of breath over seven ICU days. Associations between symptom intensity and possible predictive factors were assessed using the general estimating equation (GEE) model.

RESULTS

Out of 603 eligible patients, 353 (Sample 2) were included in the present study. On the first ICU day, 195 patients (Sample 1) reported thirst as the most prevalent symptom (66%), with the highest mean intensity score (6.13, 95% confidence interval (CI) [5.7-6.56]). Thirst was the most prevalent (64%) and most intense (mean score 6.05, 95%CI [5.81-6.3]) symptom during seven days in the ICU. Anxiousness was the most distressful (mean score 5.24, 95%CI [4.32-6.15]) symptom on the first day and during seven days (mean score 5.46, 95%CI [4.95-5.98]). During seven days, analgesic administration and sepsis diagnosis were associated with increased thirst intensity. Older age and being mechanically ventilated were associated with decreased pain intensity, and analgesic administration was associated with increased pain intensity. Family visits and female gender were associated with increased intensity of anxiousness and shortness of breath, respectively.

CONCLUSIONS

Self-reporting ICU patients experienced a high and consistent symptom burden across seven days. Certain variables were associated with the degree of symptom intensity, but further research is required to better understand these associations.

Impact of frailty on the short-term outcomes of elderly intensive care unit patients

BACKGROUND

Frailty leads to multiple unfavourable outcomes in older adults. However, few studies have investigated correlations between frailty and its impacts on morbidity and mortality of elderly patients in intensive care units (ICUs) in Taiwan.

AIMS

To investigate the impact of frailty on the risk of hospital and 30-day mortality and functional outcomes of elderly Taiwanese ICU patients.

STUDY DESIGN

A prospective observational study was conducted. Patients aged 65 years or older were recruited from three medical ICUs. We defined 'frailty' according to the Clinical Frailty Scale (CFS) higher than 4 within 1 month prior to admission. The primary outcomes were hospital and 30-day mortality. The secondary outcome was CFS changes at ICU admission, hospital discharge, and 30-day follow-up. Logistic/Cox regression was used to analyse the data.

RESULTS

We recruited a total of 106 patients, 57 (54%) of whom were classified as frail. The overall mortality rate was 21%. Hospital mortality and mortality within 30 days after discharge were higher in the frail patients without a significant statistical difference (hospital mortality: 17.5% vs. 12.2%, p = .626; 30-day mortality: 26.3% vs. 14.3%, p = .200). The risk of 30-day mortality for frail patients was up to 2.84 times greater than that of non-frail patients in the Cox model (hazard ratio = 2.84, 95% confidence interval [0.96, 8.38]). Both non-frail and frail patients had a worse CFS score on admission, but the CFS score of surviving non-frail patients improved significantly over the medium term.

CONCLUSION

Frailty tended to increase short-term ICU mortality risk and worsen functional outcomes in the elderly Taiwanese population. This information might guide critical medical decisions.

RELEVANCE TO CLINICAL PRACTICE

Frailty could be included in the prognostic evaluation of either mortality risk or functional outcome. Prompt palliative care might be one last piece of holistic elder care.

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

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

Reliability and validity of a frailty assessment tool in specialized burn care, a retrospective multicentre cohort study

BACKGROUND

Frailty is a predictor of adverse outcomes in elderly patients. The Canadian Study of Health and Aging Clinical Frailty Scale (CFS) is an often-used frailty assessment instrument. However, the CFS's reliability and validity in patients with burn injuries are unknown. This study aimed to assess the CFS's inter-rater reliability and validity (predictive validity, known group validity and convergent validity) in patients with burn injuries treated to specialized burn care.

METHODS

A retrospective multicentre cohort study was conducted in all three Dutch burn centres. Patients aged ≥ 50 years with burn injuries, with a primary admission in 2015-2018, were included. Based on information in the electronic patient files, a research team member scored the CFS retrospectively. Inter-rater reliability was calculated using Krippendorff's α. Validity was assessed using logistic regression analysis. Patients with a CFS ≥ 5 were considered frail.

RESULTS

In total, 540 patients were included, with a mean age of 65.8 years (SD 11.5) and a Total Body Surface Area (TBSA) burned of 8.5%. The CFS was used to assess frailty in 540 patients and the reliability of the CFS was scored for 212 patients. Mean CFS was 3.4(SD 2.0). Inter-rater reliability was adequate, Krippendorff's α 0.69 (95%CI 0.62-0.74). A positive frailty screening was predictive of a non-home discharge location (OR 3.57, 95%CI 2.16-5.93), a higher in-hospital mortality rate (OR 1.06-8.77), and a higher mortality rate within 12 months after discharge (OR 4.61, 95%CI 1.99-10.65) after adjustment for age, TBSA, and inhalation injury. Frail patients were more likely to be older (for<70 vs. ≥70 years odds ratio 2.88, 95%CI 1.95-4.25) and their comorbidities were more severe (ASA ≥3 vs 1-2 OR 6.43, 95%CI 4.26-9.70) (known group validity). The CFS was significantly related (rSpearman=0.55) to the Dutch Safety Management System (DSMS) frailty screening, reflecting a fair-good correlation between the CFS and DSMS frailty screening outcomes.

CONCLUSION

The Clinical Frailty scale is reliable and has shown its validity, including its association with adverse outcomes in patients with burn injury admitted to specialized burn care. Early frailty assessment with the CFS must be considered, to optimize early recognition and treatment of frailty.

The elderly in the post-anesthesia care unit

It is increasingly conceivable that elderly patients will be treated in perioperative settings as the world's population shifts toward an older age distribution. They are more prone to a variety of unfavorable outcomes as a consequence of the physiological changes that accompany aging and the coexistence of multiple medical conditions. Postoperative complications in elderly patients are linked to a large increase in morbidity and mortality and the burden placed on the healthcare system. Our goal is to determine how elderly patients' recovery after anesthesia differs from that of younger patients. In addition, we will discuss the main postoperative complications experienced by elderly patients and the measures that are utilized to limit the risk of these complications developing.

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

PURPOSE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Patients with low ALT levels are at increased risk for severe COVID-19

Introduction

Frailty is a known risk factor for many diseases, including COVID-19. However, many frail patients are undiagnosed as the diagnosis can be cumbersome. Alanine transaminase (ALT) is found not only in the liver but also in the muscle tissue, and multiple studies show that frail sarcopenic patients have lower ALT. Frail patients are at increased risk for severe COVID-19. We evaluated the association between pre-infection low ALT and the risk for severe COVID-19.

Methods

We collected data regarding all subjects tested for SARS-CoV-2 between 1 March 2020 and 31 December 2021 from a national state-mandatory HMO in Israel, serving more than 1.3 million patients. Clinical and laboratory data were collected, including ALT from the year prior to infection. Severe COVID-19 was defined either as death, ICU admission, or ≥10 hospitalization days. Patients with low ALT (ALT ≤ 10 IU/l) were compared with patients with normal ALT (11-40 IU/l). Patients younger than 18 years with a diagnosis of liver disease and with ALT > 40 IU/l were excluded.

Results

During the study period, 58,961 patients tested positive for SARS-CoV-2. The patients in the low ALT group were younger (40.53 vs. 42.73, p < 0.001), less likely to be males (12.3 vs. 38.7%, p < 0.001), and had lower BMI (25.97 vs. 27.15, p < 0.001). The patients in the low ALT group had higher mortality (2.36 vs. 0.57%, p < 0.001), more ICU hospitalizations (0.49 vs. 0.41%, p = 0.47), and more prolonged hospitalizations [2.63% (95% CI 2-3.2%) vs. 0.98% (95% CI 0.86-1.1%) p < 0.001]. In multivariate logistic regression analyses, low ALT was associated with an increased risk of severe COVID-19, with increased mortality (OR 1.88, 95% CI 1.37-2.56) and prolonged hospitalization (OR 1.78, 95% CI 1.33-2.35).

Conclusion

Low ALT level prior to infection is a significant risk factor for morbidity and mortality from COVID-19 infection. Further studies are warranted to address treatment options for this population.

Outcomes of patients aged ≥80 years with respiratory failure initially treated with non-invasive ventilation in European intensive care units before and during COVID-19 pandemic

BACKGROUND

Non-invasive ventilation (NIV) has been commonly used to treat acute respiratory failure due to COVID-19. In this study we aimed to compare outcomes of older critically ill patients treated with NIV before and during the COVID-19 pandemic.

METHODS

We analysed a merged cohort of older adults admitted to intensive care units (ICUs) due to respiratory failure. Patients were enrolled into one of two prospective observational studies: before COVID-19 (VIP2-2018 to 2019) and admitted due to COVID-19 (COVIP-March 2020 to January 2023). The outcomes included: 30-day mortality, intubation rate and NIV failure (death or intubation within 30 days).

RESULTS

The final cohort included 1986 patients (1292 from VIP2, 694 from COVIP) with a median age of 83 years. NIV was used as a primary mode of respiratory support in 697 participants (35.1%). ICU admission due to COVID-19 was associated with an increased 30-day mortality (65.5% vs. 36.5%, HR 2.18, 95% CI 1.71 to 2.77), more frequent intubation (36.9% vs. 17.5%, OR 2.63, 95% CI 1.74 to 3.99) and NIV failure (76.2% vs. 45.3%, OR 4.21, 95% CI 2.84 to 6.34) compared to non-COVID causes of respiratory failure. Sensitivity analysis after exclusion of patients in whom life supporting treatment limitation was introduced during primary NIV confirmed higher 30-day mortality in patients with COVID-19 (52.5% vs. 23.4%, HR 2.64, 95% CI 1.83 to 3.80).

CONCLUSION

The outcomes of patients aged ≥80 years treated with NIV during COVID-19 pandemic were worse compared then those treated with NIV in the pre-pandemic era.

The paradox of obesity in pressure ulcers of critically ill patients

The relationship between body mass index and pressure ulcers in critically ill patients is controversial. We aimed to investigate the association between body mass index and pressure ulcers by analysing data from the Medical Information Mart for Intensive Care IV (version 2.0) database. Eligible data (21 835 cases) were extracted from the database (2008-2019). The association between body mass index and pressure ulcers in critically ill patients was investigated by adjusting multivariate trend analysis, restricted cubic spline analysis, and segmented linear models. Subgroup analyses and sensitivity analyses were used to ensure the stability of the results. Trend analysis and restricted cubic spline analysis showed an approximate U-shaped correlation between body mass index and the occurrence of pressure ulcers in critically ill patients, with the risk of pressure ulcers decreasing rapidly with increasing body mass index (8.6% decrease per unit) after adjusting for relevant factors; the trend reached its minimum at a body mass index of 27.5 kg/m2, followed by a slow increase in the risk of pressure ulcers with increasing body mass index (1.4% increase per unit). Among the subgroups, the highest overall risk of pressure ulcers and the risk of severe pressure ulcers were significantly higher in the underweight group than in the other subgroups, and the risk associated with the overweight group was the lowest. There is a U-shaped association between body mass index and pressure ulcers in critically ill patients, and being underweight and obese both increase the risk of pressure ulcers. The risk is highest among underweight patients and lowest among overweight patients (but not patients of normal weight), necessitating targeted prevention strategies for critically ill patients with different body mass indexes.

Risk factors associated with mortality among elderly patients with COVID-19: Data from 55 intensive care units in Spain

INTRODUCTION AND OBJECTIVES

Critically-ill elderly ICU patients with COVID-19 have poor outcomes. We aimed to compare the rates of in-hospital mortality between non-elderly and elderly critically-ill COVID-19 ventilated patients, as well as to analyze the characteristics, secondary outcomes and independent risk factors associated with in-hospital mortality of elderly ventilated patients.

PATIENTS AND METHODS

We conducted a multicentre, observational cohort study including consecutive critically-ill patients admitted to 55 Spanish ICUs due to severe COVID-19 requiring mechanical ventilation (non-invasive respiratory support [NIRS; include non-invasive mechanical ventilation and high-flow nasal cannula] and invasive mechanical ventilation [IMV]) between February 2020 and October 2021.

RESULTS

Out of 5,090 critically-ill ventilated patients, 1,525 (27%) were aged ≥70 years (554 [36%] received NIRS and 971 [64%] received IMV. In the elderly group, median age was 74 years (interquartile range 72-77) and 68% were male. Overall in-hospital mortality was 31% (23% in patients <70 years and 50% in those ≥70 years; p<0.001). In-hospital mortality in the group ≥70 years significantly varied according to the modality of ventilation (40% in NIRS vs. 55% in IMV group; p<0.001). Factors independently associated with in-hospital mortality in elderly ventilated patients were age (sHR 1.07 [95%CI 1.05-1.10], p<0.001); previous admission within the last 30 days (sHR 1.40 [95%CI 1.04-1.89], p = 0.027); chronic heart disease (sHR 1.21 [95%CI 1.01-1.44], p = 0.041); chronic renal failure (sHR 1.43 [95%CI 1.12- 1.82], p = 0.005); platelet count (sHR 0.98 [95% CI 0.98-0.99], p<0.001); IMV at ICU admission (sHR 1.41 [95% CI 1.16- 1.73], p<0.001); and systemic steroids (sHR 0.61 [95%CI 0.48- 0.77], p<0.001).

CONCLUSIONS

Amongst critically-ill COVID-19 ventilated patients, those aged ≥70 years presented significantly higher rates of in-hospital mortality than younger patients. Increasing age, previous admission within the last 30 days, chronic heart disease, chronic renal failure, platelet count, IMV at ICU admission and systemic steroids (protective) all comprised independent factors for in-hospital mortality in elderly patients.

The Association Between Red Cell Distribution Width (RDW) and All-Cause Mortality in Elderly Patients with Hip Fractures: A Retrospective Cohort Study

Background

Red cell distribution width (RDW) may be related to the prognosis of hip fractures. The purpose of this study was to evaluate the association between (RDW) and all-cause mortality in elderly hip fractures.

Materials and Methods

Elderly patients aged ≥65 years who had a hip fracture were screened between January 1, 2015, and September 30, 2019. The age, gender of patients and other demographics, as well as history of allergy, injury mechanism, underlying illnesses at the time of admission, fracture classification, time from admission to operation, RDW, operation time, blood loss, infusion, transfusion, treatment strategy, and length in hospital stay and follow-up and other clinical characteristics were collected. Linear and nonlinear multivariate Cox regression models were used to identify the association between RDW and mortality in these patients. Analyses were performed using EmpowerStats and the R software.

Results

A total of 2587 patients were included in this retrospective cohort study. The mean follow-up period was 38.92 months. A total of 873 (33.75%) patients died due to all-cause mortality. The RDW was linearly associated with mortality in elderly patients with hip fractures. Linear multivariate Cox regression models showed that RDW was associated with mortality (hazard ratio [HR]=1.03, 95% confidence interval [CI]:1.02-1.05, P < 0.0001) after adjusting for confounding factors. The mortality risk increased by 3% when RDW increased by 1 fL.

Conclusion

RDW is associated with mortality in elderly patients with hip fractures, and RDW could be considered a predictor of mortality risk.

Registration

ChiCTR2200057323.

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.

Outcomes of critically ill older adults with COVID-19: a multicentre retrospective cohort study

PURPOSE

Older adults with COVID-19 have a high prevalence of complications and mortality during hospitalization. Given the large proportion of older adults requiring admission to an intensive care unit (ICU), we aimed to describe the management and outcomes of older adults with COVID-19 requiring ICU care and identify predictors of hospital mortality.

METHODS

We included consecutive patients ≥ 65 yr of age who were admitted between 11 March 2020 and 30 June 2021 to one of five Toronto (ON, Canada) ICUs with a primary diagnosis of SARS-CoV-2 infection in a retrospective cohort study. Patient characteristics, ICU treatment, and outcomes were recorded. We used multivariable logistic regression to identify predictors of in-hospital mortality.

RESULTS

Of the 273 patients, the median [interquartile range] age was 74 [69-80] yr, 104 (38.1%) were female, and 164 (60.1%) required invasive mechanical ventilation. One hundred and forty-two patients (52.0%) survived their hospital stay. Compared with survivors, nonsurvivors were older (74 [70-82] yr vs 73 [68-78] yr; P = 0.03), and a smaller proportion was female (39/131, 29.8% vs 65/142, 45.8%; P = 0.01). Patients had long hospital (19 [11-35] days) and ICU (9 [5-22] days) stays, with no significant differences in ICU length of stay or duration of invasive mechanical ventilation between the two groups. Higher APACHE II score, increasing age, and the need for organ support were independently associated with higher in-hospital mortality while female sex was associated with lower mortality.

CONCLUSIONS

Older critically ill COVID-19 patients had long ICU and hospital stays, and approximately half died in hospital. Further research is needed to identify individuals who will benefit most from an ICU admission and to evaluate posthospitalization outcomes.

Characteristics, clinical course and outcome of ventilated patients at a non-surgical intensive care unit in Germany: a single-centre, retrospective observational cohort analysis

OBJECTIVES

The objective of this study was to evaluate epidemiological characteristics, clinical course and outcome of mechanically ventilated non-surgical intensive care unit (ICU) patients, with the aim of improving the strategic planning of ICU capacities.

DESIGN

We conducted a retrospective observational cohort analysis. Data from mechanically ventilated intensive care patients were obtained by investigating electronic health records. The association between clinical parameters and ordinal scale data of clinical course was evaluated using Spearman correlation and Mann-Whitney U test. Relations between clinical parameters and in-hospital mortality rates were examined using binary logistic regression analysis.

SETTING

A single-centre study at the non-surgical ICU of the University Hospital of Frankfurt, Germany (tertiary care-level centre).

PARTICIPANTS

All cases of critically ill adult patients in need of mechanical ventilation during the years 2013-2015 were included. In total, 932 cases were analysed.

RESULTS

From a total of 932 cases, 260 patients (27.9%) were transferred from peripheral ward, 224 patients (24.1%) were hospitalised via emergency rescue services, 211 patients (22.7%) were admitted via emergency room and 236 patients (25.3%) via various transfers. In 266 cases (28.5%), respiratory failure was the reason for ICU admission. The length of stay was higher in non-geriatric patients, patients with immunosuppression and haemato-oncological disease or those in need of renal replacement therapy. 431 patients died, which corresponds to an all-cause in-hospital mortality rate of 46.2%. 92 of 172 patients with presence of immunosuppression (53.5%), 111 of 186 patients (59.7%) with pre-existing haemato-oncological disease, 27 of 36 patients (75.0%) under extracorporeal membrane oxygenation (ECMO) therapy, and 182 of 246 patients (74.0%) undergoing renal replacement therapy died. In logistic regression analysis, these subgroups and older age were significantly associated with higher mortality rates.

CONCLUSIONS

Respiratory failure was the main reason for ventilatory support at this non-surgical ICU. Immunosuppression, haemato-oncological diseases, the need for ECMO or renal replacement therapy and older age were associated with higher mortality.

[Analysis of characteristics of elderly patients admitted to an intensive care unit during six waves of the SARS-CoV-2 pandemic: Implications for medical care]

OBJECTIVE

To analyze the characteristics of seriously ill elderly patients during the six waves of the COVID-19 pandemic.

METHOD

Retrospective, observational and analytical study of patients over 70 years of age admitted to the ICU (March-2020 to March-2022). Patients were categorized into three groups based on age: 70-74 years; 75-79 years; and >80 years. A descriptive and comparative analysis of the sample was initially performed; and a 28-, 60- and 90-day survival analysis using the Kaplan-Meier method. Multivariate survival analysis was performed by fitting a Cox model.

RESULTS

Of 301 patients, the lowest number of admissions occurred during the first wave (20 (6%)), compared to the wave with the highest number of admissions: the sixth wave (76 (25%)). The survival curves at 28 days, 60 days and 90 days showed a higher probability of survival in the younger age groups (P<.01 and P=.01, respectively). Troponin at admission (per unit, ng/l) showed a significant association with 28- and 60-day mortality (HR: 1.00; 95% CI: 1.00-1.01; P<.05). Taking the 1st wave of the pandemic as a reference, admission in the 3rd wave behaved as a protective factor against mortality at 28 and 60 days of follow-up (HR: 0.18; 95% CI: 0.02-0.64; P<.05; HR: 0.13; 95% CI: 0.02-0.64; P<.05, respectively).

CONCLUSIONS

The time of admission and biomarkers, such as troponin, constitute prognostic markers independent of age in the elderly population.

Giving a voice to patients at high risk of dying in the intensive care unit: a multiple source approach

PURPOSE

Data are scarce regarding the experience of critically ill patients at high risk of death. Identifying their concerns could allow clinicians to better meet their needs and align their end-of-life trajectory with their preferences and values. We aimed to identify concerns expressed by conscious patients at high risk of dying in the intensive care unit (ICU).

METHODS

Multiple source multicentre study. Concerns expressed by patients were collected from five different sources (literature review, panel of 50 ICU experts, prospective study in 11 ICUs, in-depth interviews with 17 families and 15 patients). All qualitative data collected were analyzed using thematic content analysis.

RESULTS

The five sources produced 1307 concerns that were divided into 7 domains and 41 sub-domains. After removing redundant items and duplicates, and combining and reformulating similar items, 28 concerns were extracted from the analysis of the data. To increase accuracy, they were merged and consolidated, and resulted in a final list of 15 concerns pertaining to seven domains: concerns about loved-ones; symptom management and care (including team competence, goals of care discussions); spiritual, religious, and existential preoccupations (including regrets, meaning, hope and trust); being oneself (including fear of isolation and of being a burden, absence of hope, and personhood); the need for comforting experiences and pleasure; dying and death (covering emotional and practical concerns); and after death preoccupations.

CONCLUSION

This list of 15 concerns may prove valuable for clinicians as a tool for improving communication and support to better meet the needs of patients at high risk of dying.

Using the Hospital Frailty Risk Score to assess mortality risk in older medical patients admitted to the intensive care unit

BACKGROUND

Prognostic information at the time of hospital discharge can help guide goals-of-care discussions for future care. We sought to assess the association between the Hospital Frailty Risk Score (HFRS), which may highlight patients' risk of adverse outcomes at the time of hospital discharge, and in-hospital death among patients admitted to the intensive care unit (ICU) within 12 months of a previous hospital discharge.

METHODS

We conducted a multicentre retrospective cohort study that included patients aged 75 years or older admitted at least twice over a 12-month period to the general medicine service at 7 academic centres and large community-based teaching hospitals in Toronto and Mississauga, Ontario, Canada, from Apr. 1, 2010, to Dec. 31, 2019. The HFRS (categorized as low, moderate or high frailty risk) was calculated at the time of discharge from the first hospital admission. Outcomes included ICU admission and death during the second hospital admission.

RESULTS

The cohort included 22 178 patients, of whom 1767 (8.0%) were categorized as having high frailty risk, 9464 (42.7%) as having moderate frailty risk, and 10 947 (49.4%) as having low frailty risk. One hundred patients (5.7%) with high frailty risk were admitted to the ICU, compared to 566 (6.0%) of those with moderate risk and 790 (7.2%) of those with low risk. After adjustment for age, sex, hospital, day of admission, time of admission and Laboratory-based Acute Physiology Score, the odds of ICU admission were not significantly different for patients with high (adjusted odds ratio [OR] 0.99, 95% confidence interval [CI] 0.78 to 1.23) or moderate (adjusted OR 0.97, 95% CI 0.86 to 1.09) frailty risk compared to those with low frailty risk. Among patients admitted to the ICU, 75 (75.0%) of those with high frailty risk died, compared to 317 (56.0%) of those with moderate risk and 416 (52.7%) of those with low risk. After multivariable adjustment, the risk of death after ICU admission was higher for patients with high frailty risk than for those with low frailty risk (adjusted OR 2.86, 95% CI 1.77 to 4.77).

INTERPRETATION

Among patients readmitted to hospital within 12 months, patients with high frailty risk were similarly likely as those with lower frailty risk to be admitted to the ICU but were more likely to die if admitted to ICU. The HFRS at hospital discharge can inform prognosis, which can help guide discussions for preferences for ICU care during future hospital stays.

Ethical conflicts associated with COVID-19 pandemic, triage and frailty-unexpected positive disease progression in a 90-year-old patient: A case report

During the COVID 19 pandemic, advanced age, scoring systems, and a shortage of ICU beds were used as cut-offs for ICU admission. This case report describes the epicrisis of an elderly patient who was almost mistakenly not treated in an ICU.

A review of frailty instruments in human medicine and proposal of a frailty instrument for dogs

Over the last few decades, frailty has become a pillar of research and clinical assessment in human gerontology. This complex syndrome, characterized by loss of physiologic reserves leading to decreased resilience to stressors, is of critical importance because it predicts higher risks of poor health outcomes, including mortality. Thus, identifying frailty among the elderly human population has become a key focus of gerontology. This narrative review presents current scientific literature on frailty in both humans and animals. The authors discuss the need for an accessible frailty instrument for companion dogs suitable for general use in veterinary medicine and the advances that would be facilitated by this instrument. A phenotypic frailty instrument for companion dogs, utilizing components that are easily collected by owners, or in the general practice setting, is proposed. The authors elaborate on the domains (physical condition, physical activity, mobility, strength, cognitive task performance, and social behavior), factors that will be included, and the data from the Dog Aging Project that inform each domain.

Influence of gender on age-associated in-hospital mortality in patients with sepsis and septic shock: a prospective nationwide multicenter cohort study

BACKGROUND

Numerous epidemiological studies investigating gender-dependent clinical outcomes in sepsis have shown conflicting evidence. This study aimed to investigate the effect of gender on in-hospital mortality due to sepsis according to age group.

METHODS

This study used data from the Korean Sepsis Alliance, an ongoing nationwide prospective multicenter cohort from 19 participating hospitals in South Korea. All adult patients diagnosed with sepsis in the emergency departments of the participating hospitals between September 2019 and December 2021 were included in the analysis. Clinical characteristics and outcomes were compared between male and female. Eligible patients were stratified by age into 19-50 years, 50-80 years, and ≥ 80 years old individuals.

RESULTS

During the study period, 6442 patients were included in the analysis, and 3650 (56.7%) were male. The adjusted odds ratio (OR) [95% confidence interval (CI)] for in-hospital mortality for male compared with female was 1.15 (95% CI = 1.02-1.29). Interestingly, in the age 19-50 group, the risk of in-hospital mortality for males was significantly lower than that of females [0.57 (95% CI = 0.35-0.93)]. For female, the risk of death remained relatively stable until around age 80 (P for linearity = 0.77), while in males, there was a linear increase in the risk of in-hospital death until around age 80 (P for linearity < 0.01). Respiratory infection (53.8% vs. 37.4%, p < 0.01) was more common in male, whereas urinary tract infection (14.7% vs. 29.8%, p < 0.01) was more common in female. For respiratory infection, male had significantly lower in-hospital mortality than female in the age 19-50 groups (adjusted OR = 0.29, 95% CI = 0.12-0.69).

CONCLUSIONS

Gender may influence age-associated sepsis outcomes. Further studies are needed to replicate our findings and fully understand the interaction of gender and age on the outcomes of patients with sepsis.

Antimicrobial resistance and outcome in the critically ill patient: An opinion paper

Antimicrobial resistance (AMR) is associated with increased mortality and resources consumption in critically ill patients. However, the causality of AMR in this mortality remains unclear. This opinion paper aims to overview the effects of multidrug resistant (MDR) pathogens on the outcomes of critically ill patients, considering different variables as appropriateness of empirical antimicrobial therapy, severity of sepsis, comorbid conditions and frailty. Large studies based on national database associated MDR and increased mortality in critically ill patients. However, the patients carrying MDR pathogens, as compared with those carrying non-MDR pathogens, are those with co-morbid conditions, high risk of frailty and invasive procedures. In addition, inappropriate empirical antibiotics are more often used in these patients as well as withholding and withdrawing of life-sustained therapy. Future studies on AMR should report the rate of appropriateness of empirical antimicrobial therapy, withholding and withdrawing of life-sustained therapy.

Characteristics, management, and outcomes of patients with infectious encephalitis requiring intensive care: A prospective multicentre observational study

PURPOSE

Infectious encephalitis (IE) is a severe disease which requires intensive care unit (ICU) admission in up to 50% of cases. We aimed to describe characteristics, management and outcomes of IE patients who required ICU admission.

MATERIALS AND METHODS

Ancillary study focusing on patients with ICU admission within the ENCEIF cohort, a French prospective observational multicentre study. The primary criteria for outcome was the functional status at hospital discharge, categorized using the Glasgow outcome scale (GOS). Logistic regression model was used to identify risk factors for poor outcome, defined as a GOS ≤ 3.

RESULTS

We enrolled 198 ICU patients with IE. HSV was the primary cause (n = 72, 36% of all IE, 53% of IE with microbiological documentation). Fifty-two patients (26%) had poor outcome at hospital discharge, including 22 deaths (11%). Immunodeficiency, supratentorial focal signs on admission, lower cerebrospinal fluid (CSF) white cells count (<75/mm3), abnormal brain imaging, and time from symptoms onset to acyclovir start >2 days were independent predictors of poor outcome.

CONCLUSION

HSV is the primary cause of IE requiring ICU admission. IE patients admitted in ICU have a poor prognosis with 11% of in-hospital mortality and 15% of severe disabilities in survivors at discharge.

Retrospective In-Hospital Mortality Analysis of GeriatricPatients Treated in a Level 1 Trauma Center

The aim of this study is to determine the critical time intervals and influencing covariates for in-hospital mortality in geriatric trauma and orthopedic patients. During a period of five years, we retrospectively review patients aged > 60 years who were hospitalized at the Department of Trauma, Orthopedic, and Plastic Surgery. The primary outcome is the mean time to death. Survival analysis is performed using an accelerated failure time model. A total of 5388 patients are included in the analysis. Two-thirds underwent surgery (n = 3497, 65%) and one-third were conservatively treated (n = 1891, 35%). The in-hospital mortality rate is 3.1% (n = 168; surgery, n = 112; conservative, n = 56). The mean time to death is 23.3 days (±18.8) after admission in the surgery group and 11.3 days (±12.5) in the conservative treatment group. The greatest accelerating effect on mortality is found in the intensive care unit (16.52, p < 0.001). We are able to identify a critical time interval for in-hospital mortality between days 11 and 23. The day of death on weekend days/holidays, hospitalization for conservative treatment, and treatment at the intensive care unit significantly increase the risk of in-hospital mortality. Early mobilization and a short hospitalization duration seem to be of major importance in fragile patients.

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/ ).

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

Introduction

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

Methods

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

Results

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

Conclusion

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

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

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

Association Between Multidrug-Resistant Bacteria and Mortality in Critically Ill Patients

INTRODUCTION

Multidrug-resistant bacteria (MDRB) carriage may impact the outcomes of intensive care unit (ICU) patients. In this study, we aimed to assess the effect of MDRB-related infection and colonization on the day 60 mortality rate.

METHODS

We conducted a retrospective, observational study in a single university hospital ICU. From January 2017 to December 2018, we screened all patients admitted to the ICU for at least 48 h for MDRB carriage. The primary outcome was the mortality rate on day 60 after MDRB-related infection. The secondary outcome was the mortality rate on day 60 of non-infected but colonized patients with MDRB. We considered the effect of potential confounders, such as the occurrence of septic shock, inadequate antibiotic therapy, Charlson score, and life-sustaining limitation order.

RESULTS

We included 719 patients during the aforementioned period; of this number, 281 (39%) had a microbiologically documented infection. MDRB was found in 40 (14%) patients. The crude mortality rate in the MDRB-related infection group was 35% vs. 32% in the non-MDRB-related infection group (p = 0.1). Logistic regression showed that MDRB-related infection was not associated with excess mortality, with an odds ratio of 0.52 and a 95% confidence interval from 0.17 to 1.39 (p = 0.2). Charlson score, septic shock, and life-sustaining limitation order were significantly associated with an increased mortality rate on day 60. No effect of MDRB colonization on mortality rate on day 60 was highlighted.

CONCLUSION

MDRB-related infection or colonization was not associated with an increased mortality rate on day 60. Other confounders, such as comorbidities, may account for a higher mortality rate.