Selection of intensive care unit admission criteria for patients aged 80 years and over and compliance of emergency and intensive care unit physicians with the selected criteria: An observational, multicenter, prospective study

ESICM consensus-based recommendations for the management of very old patients in intensive care

PURPOSE

The heterogeneity of very old patients (age ≥ 80 years) and the prevalence of complex geriatric syndromes in this cohort constitute major challenges for the classical methods of evidence-based medicine to inform clinical practice. The lack of robust guidance for the management of critical conditions in these patients contributes to considerable uncertainty among practitioners and unwarranted variations of care. The European Society of Intensive Care Medicine (ESICM) initiated a Delphi study to translate the empirical knowledge of experts in this field into consensus-based recommendations for clinical practice.

METHODS

A multi-national group of specialists in intensive care, emergency, and geriatric medicine provided opinions on managing very old patients with critical conditions. Strong or moderate consensus was defined as having at least 90% or 80% of experts, respectively, expressing agreement or disagreement on the three highest or lowest levels of a 9-points Likert scale.

RESULTS

Twenty-eight members of the expert steering group and 82 additional experts completed two Delphi rounds. After discussing the results, the steering group issued recommendations for 48 statements and 2 checklists for which consensus was achieved. In addition to determining fundamental principles, they include advice on goals of care and the decision-making about admission to and treatment of patients in intensive care and the management after discharge.

CONCLUSION

A multi-disciplinary group of experts achieved consensus on recommendations concerning intensive care for very old patients, which were approved and endorsed by ESICM. The implementation requires a careful analysis of available healthcare resources and should proceed in a stepwise fashion.

Risk Factors for Mortality Among Older Adults with Hospital-Acquired Bloodstream Infections in the Intensive Care Unit: A Multicenter Cohort Study

INTRODUCTION

We aimed to investigate risk factors for mortality among older adults (≥ 75 years) with hospital-acquired bloodstream infections (HA-BSI) in the intensive care unit (ICU).

METHODS

We included patients aged ≥ 75 years with HA-BSI in ICU from the EUROBACT-2 cohort (2019-2021). Univariable and multivariable analyses were conducted to identify predictors of 28-day mortality.

RESULTS

The cohort included 563 patients (median age 80, 39% women). Mortality at 28 day was 50%. Factors associated with mortality in multivariate analysis were admission due to COVID-19, failure to achieve source control, and higher SOFA. Among older adults with Gram-negative BSI, corticosteroid administration for septic shock was an additional factor. Among functionally independent patients, age itself was not associated with mortality.

CONCLUSIONS

HA-BSI in older adults in ICU are associated with high mortality. Inadequate source control is a significant modifiable risk factor. The use of corticosteroids in ICU management of older adults should be further investigated.

Intensive care unit admission criteria: a scoping review

Background

Effectively identifying deteriorated patients is vital to the development and validation of automated systems designed to predict clinical deterioration. Existing outcome measures used for this purpose have significant limitations. Published criteria for admission to high acuity inpatient areas may represent markers of patient deterioration and could inform the development of alternate outcome measures.

Objectives

In this scoping review, we aimed to characterise published criteria for admission of adult inpatients to high acuity inpatient areas including intensive care units. A secondary aim was to identify variables that are extractable from electronic health records (EHRs).

Data sources

Electronic databases PubMed and ProQuest EBook Central were searched to identify papers published from 1999 to date of search. We included publications which described prescriptive criteria for admission of adult inpatients to a clinical area with a higher level of care than a general hospital ward.

Charting methods

Data was extracted from each publication using a standardised data-charting form. Admission criteria characteristics were summarised and cross-tabulated for each criterion by population group.

Results

Five domains were identified: diagnosis-based criteria, clinical parameter criteria, organ-support criteria, organ-monitoring criteria and patient baseline criteria. Six clinical parameter-based criteria and five needs-based criteria were frequently proposed and represent variables extractable from EHRs. Thresholds for objective clinical parameter criteria varied across publications, and by disease subgroup, and universal cut-offs for criteria could not be elucidated.

Conclusions

This study identified multiple criteria which may represent markers of deterioration. Many of the criteria are extractable from the EHR, making them potential candidates for future automated systems. Variability in admission criteria and associated thresholds across the literature suggests clinical deterioration is a heterogeneous phenomenon which may resist being defined as a single entity via a consensus-driven process.

Clinical characteristics and treatment outcomes among the hospitalized elderly patients with COVID-19 during the late pandemic phase in central Taiwan

BACKGROUND

There is a lack of information regarding outcomes of elderly patients hospitalized with COVID-19 following the widespread use of COVID-19 vaccines and antiviral agents.

METHODS

A retrospective study was conducted between January and August 2022, enrolling patients aged 65 years or older. Patients were categorized into two groups: 'old' (65-79 years) and 'oldest-old' (80 years or more). Multivariate regression was employed to identify independent prognostic factors for in-hospital mortality.

RESULTS

A total of 797 patients were enrolled, including 428 old and 369 oldest-old patients. In each subgroup, 66.6 % and 59.6 % of patients received at least one dose of the COVID-19 vaccine, respectively. Approximately 40 % of the patients received oral antiviral agents either before or upon hospital admission. A greater percentage of the oldest-old patients received remdesivir (53.4 % versus 39.7 %, p < 0.001), dexamethasone (49.3 % versus 36.7 %, p < 0.001), and tocilizumab (10.0 % versus 6.8 %, p < 0.001) than old patients. The mortality rate was comparable between the two age subgroups (14 % versus 15.2 %). Independent predictors of in-hospital mortality included disease severity and comorbidities such as end-stage renal disease (ESRD), cirrhosis, solid tumours, and haematologic malignancies. Ageing was not correlated with increased in-hospital mortality across all comorbidity subgroups.

CONCLUSIONS

In the later stages of the pandemic, with widespread vaccination and advancements in COVID-19 treatments, outcomes for hospitalized elderly and oldest-old patients with COVID-19 have improved. The influence of age on in-hospital mortality has diminished, while comorbidities such as ESRD, cirrhosis, solid tumours, and hematologic malignancies have been associated with mortality.

The impact of age on intensive care

Caring for the elderly has always been challenging for the intensive care unit (ICU) physician. Concerns like frailty, comorbidities, polypharmacy and advanced directives come up even before admission into the unit. The COVID-19 pandemic has put forward a variety of issues concerning elderly populations, making the topic more relevant than ever. Admittance to the ICU, an unequivocally multifactorial decision, requires special consideration from the side of the physician when caring for an elderly person. Patients' wishes are to be respected and thus given priority. Triage assessment must also account for age-related physiological alterations and functional status. Once in the ICU, special attention should be given to age-related specificities, such as therapeutic interventions' controversial role, infection susceptibility, and post-operative care, that could potentially alter the course of hospitalization and affect outcomes. Following ICU discharge, ensuring proper rehabilitation for both survivors and their caregivers can improve long-term outcomes and subsequent quality of life. The pandemic and its implications may limit the standard of care for the elderly requiring ICU support. Socioeconomic factors that further perplex the situation must be addressed. Elderly patients currently represent a vast expanding population in ICU. Tailoring safe treatment plans to match patients' wishes, and personalized needs will guide critical care for the elderly from this time forward.

Trends in Geriatric Conditions Among Older Adults Admitted to US ICUs Between 1998 and 2015

BACKGROUND

Older adults are increasingly admitted to the ICU, and those with disabilities, dementia, frailty, and multimorbidity are vulnerable to adverse outcomes. Little is known about how pre-existing geriatric conditions have changed over time.

RESEARCH QUESTION

How have changes in disability, dementia, frailty, and multimorbidity in older adults admitted to the ICU changed from 1998 through 2015?

STUDY DESIGN AND METHODS

Medicare-linked Health and Retirement Survey (HRS) data identifying patients 65 years of age and older admitted to an ICU between 1998 and 2015. ICU admission was the unit of analysis. Year of ICU admission was the exposure. Disability, dementia, frailty, and multimorbidity were identified based on responses to HRS surveys before ICU admission. Disability represented the need for assistance with ≥ 1 activity of daily living. Dementia used cognitive and functional measures. Frailty included deficits in ≥ 2 domains (physical, nutritive, cognitive, or sensory function). Multimorbidity represented ≥ 3 self-reported chronic diseases. Time trends in geriatric conditions were modeled as a function of year of ICU admission and were adjusted for age, sex, race or ethnicity, and proxy interview status.

RESULTS

Across 6,084 ICU patients, age at admission increased from 77.6 years (95% CI, 76.7-78.4 years) in 1998 to 78.7 years (95% CI, 77.5-79.8 years) in 2015 (P < .001 for trend). The adjusted proportion of ICU admissions with pre-existing disability rose from 15.5% (95% CI, 12.1%-18.8%) in 1998 to 24.0% (95% CI, 18.5%-29.6%) in 2015 (P = .001). Rates of dementia did not change significantly (P = .21). Frailty increased from 36.6% (95% CI, 30.9%-42.3%) in 1998 to 45.0% (95% CI, 39.7%-50.2%) in 2015 (P = .04); multimorbidity rose from 54.4% (95% CI, 49.2%-59.7%) in 1998 to 71.8% (95% CI, 66.3%-77.2%) in 2015 (P < .001).

INTERPRETATION

Rates of pre-existing disability, frailty, and multimorbidity in older adults admitted to ICUs increased over time. Geriatric principles need to be deeply integrated into the ICU setting.

Outcomes of COVID-19 Critically Ill Extremely Elderly Patients: Analysis of a Large, National, Observational Cohort

BACKGROUND

During the COVID-19 pandemic, resource allocation became a major problem in globally overwhelmed ICUs. The main goal of this study was to describe the clinical characteristics of the very elderly patients (aged ≥ 80 years) with COVID-19 admitted in Romanian ICUs. The study objectives were to evaluate and determine the factors associated with ICU mortality.

METHODS

We designed a national, multicentric, observational platform with prospective enrolment. This study included patients aged ≥ 80 years admitted in Romanian ICUs with SARS-CoV-2 infection from March 2020 to December 2021.

RESULTS

We included 1666 patients with a median age of 83 years and 78% ICU mortality. Male sex, dyspnoea, lower Glasgow Coma Scale and lower SpO2 at ICU admission, the need for mechanical ventilation (MV), and corticosteroid use were independently associated with mortality. A total of 886/1666 (53%) elderly patients underwent invasive mechanical ventilation, with a mortality of 97%. The age impact on mortality was confirmed by a 1:1 propensity matching with less elderly ICU patients.

CONCLUSION

In extremely elderly patients with COVID-19 admitted in the ICU, mortality is high, particularly when requiring MV. Therapy should be directed towards the optimization of less invasive ventilatory methods and the use of MV and corticosteroids only in highly selected patients.

Intensive care unit capacity and mortality in older adults: a three nations retrospective observational cohort study

Background

Intensive care unit (ICU) admissions among older adults are expected to increase, while the benefit remains uncertain. The availability of ICU beds varies between hospitals and between countries and is an important factor in the decision to admit older adults in the ICU. We aimed to assess if a non-restrictive approach to ICU older adults admission is associated with a corresponding change in survival.

Methods

Retrospective cohort study that included patients ≥ 80 years who were admitted to each of the three participating hospitals in Australia, Israel, and the United States (USA), between the years 2006–2015, each with distinct ICU capacities and admission criteria. The primary outcomes were in-hospital mortality and all-cause mortality at 6, 12, 18, and 24 months following index hospitalization.

Results

The cohort included 62,866 patients with a mean age of 85.9 ± 4.6 years and 58.8% were women. The ICU admission rates were 22.5%, 2.6% and 2.3% in USA, Australia, and Israel, respectively. We constructed a model for ICU admissions based on the USA cohort (highest availability of ICU beds) and then calculated the expected probabilities for the Israeli and Australian cohorts. For the patients in the highest quintile of the admission model, actual ICU admission rates were 67.6% in USA, 22.1% in Australia and 6.0% in Israel. Of these, in-hospital death rates were 52.3% in Israel, 29.8% in Australia, and 22.1% in USA. Two years after hospital discharge, the survival rates in the USA and Australia were 53%, while in Israel 48%.

Conclusion

ICU admission of adults ≥ 80 years is associated with increased in-hospital survival compared to ward admission, but survival rates 2 years later are similar.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13613-022-00994-x.

Multidisciplinary support for ethics deliberations during the first COVID wave

BACKGROUND

The first COVID-19 wave started in February 2020 in France. The influx of patients requiring emergency care and high-level technicity led healthcare professionals to fear saturation of available care. In that context, the multidisciplinary Ethics-Support Cell (EST) was created to help medical teams consider the decisions that could potentially be sources of ethical dilemmas.

OBJECTIVES

The primary objective was to prospectively collect information on requests for EST assistance from 23 March to 9 May 2020. The secondary aim was to describe the Cell's functions during that period.

RESEARCH DESIGN

This observational, real-time study of requests for Cell consultations concerned ethical dilemmas arising during a public health crisis. The EST created a grid to collect relevant information (clinical, patient's/designated representative's preferences and ethical principles strained by the situation), thereby assuring that each EST asked the same questions, in the same order.

PARTICIPANTS AND RESEARCH CONTEXT

Only our university hospital's clinicians could request EST intervention.

ETHICAL CONSIDERATIONS

The hospital Research Ethics Committee approved this study (no. CER-2020-107). The patient, his/her family, or designated representative was informed of this ethics consultation and most met with EST members, which enabled them to express their preferences and/or opposition.

FINDINGS/RESULTS

33 requests (patients' mean age: 80.8 years; 29 had COVID-19: 24 with dyspnea, 30 with comorbidities). 17 Emergency Department solicitations concerned ICU admission, without reference to resource constraints; others addressed therapeutic proportionality dilemmas.

DISCUSSION

Intervention-request motives concerned limited resources and treatment intensity. Management revolved around three axes: the treatment option most appropriate for the patient, the feasibility of implementation, and dignified care for the patient.

CONCLUSIONS

COVID-19 crisis forced hospitals to envisage prioritization of ICU access. Established decision-making criteria and protocols do not enable healthcare professionals to escape ethical dilemmas. That acknowledgement highlights ethical risks, enhances the added-value of nursing and encourages all players to be vigilant to pursue collective deliberations to achieve clear and transparent decisions.

Implications of intensive care unit admissions among medicare beneficiaries following resection of pancreatic cancer

BACKGROUND

Intensive care unit (ICU) use has increased among patients with cancer. We sought to define factors associated with ICU admissions among patients with pancreatic cancer and characterize trends in mortality among hospital survivors.

METHODS

The Surveillance, Epidemiology, and End Results (SEER)-Medicare linked database was used to identify patients with pancreatic cancer who underwent resection. Multivariable analyses were conducted to identify factors associated with ICU admission and mortality among hospital survivors.

RESULTS

Among 6422 Medicare beneficiaries who underwent resection of pancreatic cancer, 2386 (37.1%) had an ICU admission. Patients with ICU admissions were more likely to be younger (10-year increase odds ratio [OR]: 0.83, 95% confidence interval [CI]: 0.77-0.89), male (OR: 1.17, 95% CI 1.05-1.30) and undergo resection at a teaching hospital (OR: 1.19, 95% CI: 1.05-1.36). While the majority of patients survived to hospital discharge (n = 2106; 88.3%), a majority of patients (n = 1296; 54.3%) died within 6 months. Among patients who had subsequent ICU admissions, 1- and 5-year survival was only 31.8% and 11.0%, respectively.

CONCLUSIONS

Over one-third of patients with pancreatic cancer had an ICU admission. While most patients survived hospitalization, more than one-half of patients died within 6 months of discharge and two-thirds died within 1 year. These data should serve to guide patient-provider discussions around prognosis relative to ICU utilization.

A Population-Based Analysis of Long-Term Outcomes Among Older Adults Requiring Unexpected Intensive Care Unit Admission After Cancer Surgery

BACKGROUND

High-intensity cancer surgery is increasingly common among older adults. However, these patients are at high-risk for unexpected intensive care unit (ICU) admissions after surgery. How these admissions impact older adults' long-term outcomes is unknown.

METHODS

We performed a population-based, cohort study of older adults (age ≥ 70 years) who underwent high-intensity cancer surgery from 2007 to 2017. Analyses were performed to examine time alive and at home following surgery, defined as time from surgery to nursing home admission or death. Patients were followed for up to 5 years. Extended Cox proportional hazards models examined the independent association between unexpected ICU admission (ICU admissions excluding routine postoperative monitoring) and remaining alive and at home. Subgroup analysis stratified patients by duration of mechanical ventilation (MV).

RESULTS

Of 47,367 identified older adults, 7372 (15.6%) had an unexpected ICU admission. Patients with an unexpected ICU admission had a significantly lower probability of being alive and at home at 5 years (26.2%; 95% confidence interval [CI] 25.1-27.2%) compared with those without an unexpected admission (56.8%; 95% CI 56.3-57.4%). After adjusting for baseline characteristics, unexpected ICU admission remained associated with less time alive and at home. The elevated risk of death or nursing home admission persisted for 5 years after surgery (years 2-5: hazard ratio [HR] 1.58, 95% CI 1.50-1.66). Duration of MV was inversely associated with time alive and at home.

CONCLUSIONS

Older adults with an unexpected ICU admission after high-intensity cancer surgery are at increased risk for death or admission to a nursing home for at least 5 years.

Dynamic SOFA score assessments to predict outcomes after acute admission of octogenarians to the intensive care unit

BACKGROUND

Identifying which octogenarians could benefit most from continuing critical care is challenging. We aimed to see if responses to therapies using the sequential organ failure assessment (SOFA) score on day 4 after unplanned admission to the intensive care unit (ICU) could be associated with short-term mortality.

METHODS

In this prospective observational cohort study, data from 4 ICUs in a University Hospital included SOFA scores on admission and day 4, along with preadmission measurements of frailty, comorbidities, nutritional status and number of medications. Outcome measures included mortality and loss of autonomy on day 90 after admission.

RESULTS

Eighty-seven critically ill patients aged 80 years or older with preadmission functional independence and no missing SOFA score data on day 4 were studied (primary analyses). The mortality rate on day 90 was 30%. In a univariate Cox model, the SOFA score on day 4 was significantly associated with mortality rate: hazard ratio = 1.18 per one-point increase, 95% confidence interval (CI), 1.08 to 1.28 (p<0.001). A SOFA score of 6 or more on day 4 could correctly classify 75% of patients who died on day 90, with a sensitivity of 54% and a specificity of 84%. After adjustment, the SOFA score on day 4, neurological failure on admission and the number of preadmission medications were significantly associated with mortality on day 90, with an area under the receiver operating characteristic curve of 0.81 (95% CI, 0.71 to 0.91). These findings were confirmed in a sensitivity analysis with 109 patients. Preadmission frailty was the only variable independently associated with loss of autonomy in the 49 surviving patients.

CONCLUSION

Measuring SOFA score on day 4 and preadmission frailty could help predict mortality and loss of autonomy on day 90 in octogenarians after their acute admission to the ICU.

Differences in end-of-life care and outcomes in palliative consultation-eligible patients with and without do-not-resuscitate orders: A propensity score-matched study

BACKGROUND

The primary objective of palliative care, not synonymous with end-of-life (EOL) care, is to align care plans with patient goals, regardless of whether these goals include the pursuit of invasive, life-sustaining procedures, or not. This study determines the differences in EOL care, resource utilization, and outcome in palliative care consultation-eligible emergency department patients with and without do-not-resuscitate (DNR) orders.

METHODS

This is a retrospective observational study. We consecutively enrolled all the acutely and critically ill emergency department patients eligible for palliative care consultation at the Taipei Veterans General Hospital, a 3000-bed tertiary hospital, from February 1 to July 31, 2018. The outcome measures included in-hospital mortality and EOL care of patients with and without DNR.

RESULTS

A total of 396 patients were included: 159 with and 237 without DNR. Propensity score matching revealed that patients with DNR had significantly shorter duration of hospital stay (404.4 ± 344.4 hours vs 505.2 ± 498.1 hours; p = 0.037), higher in-hospital mortality (54.1% vs 34.6%; p < 0.001), and lower total hospital expenditure (191 239 ± 177 962 NTD vs 249 194 ± 305 629 NTD; p = 0.04). Among patients with DNR, there were fewer deaths in the intensive care unit (30.2% vs 37.0%), more deaths in the hospice ward (16.3% vs 7.4%), more critical discharge to home (9.3% vs 7.4%), more endotracheal removals (3.1% vs 0%; p = 0.024), and more narcotics use (32.7% vs 22.1%; p = 0.018).

CONCLUSION

The palliative care consultation-eligible emergency department patients with DNR compared with those without DNR experienced worse outcomes, greater pain control, more endotracheal extubations, shorter duration of hospital stay, more critical discharge to home, more hospice referrals, and 23.3% reduction in total expenditure. There were fewer deaths in the ICU among them as well.

Derivation and Validation of a Novel Severity Scoring System for Pneumonia at Intensive Care Unit Admission

BACKGROUND

Severity stratification scores developed in intensive care units (ICUs) are used in interventional studies to identify the most critically ill. Studies that evaluate accuracy of these scores in ICU patients admitted with pneumonia are lacking. This study aims to determine performance of severity scores as predictors of mortality in critically ill patients admitted with pneumonia.

METHODS

Prospective cohort study in a general ICU in Brazil. ICU severity scores (Simplified Acute Physiology Score 3 [SAPS 3] and Sepsis-Related Organ Failure Assessment [qSOFA]), prognostic scores of pneumonia (CURB-65 [confusion, urea, respiratory rate, blood pressure, age] and CRB-65 [confusion, respiratory rate, blood pressure, age]), and clinical and epidemiological variables in the first 6 hours of hospitalization were analyzed.

RESULTS

Two hundred patients were included between 2015 and 2018, with a median age of 81 years (interquartile range, 67-90 years) and female predominance (52%), primarily admitted from the emergency department (65%) with community-acquired pneumonia (CAP, 80.5%). SAPS 3, CURB-65, CRB-65,and qSOFA all exhibited poor performance in predicting mortality. Multivariate regression identified variables independently associated with mortality that were used to develop a novel pneumonia-specific ICU severity score (Pneumonia Shock score) that outperformed SAPS 3, CURB-65, and CRB-65. The Shock score was validated in an external multicenter cohort of critically ill patients admitted with CAP.

CONCLUSIONS

We created a parsimonious score that accurately identifies patients with pneumonia at highest risk of ICU death. These findings are critical to accurately stratify patients with severe pneumonia in therapeutic trials that aim to reduce mortality.

[ISAR Score (Identification of Seniors At Risk) predicts mortality in patients older than 75 years admitted in Intensive Care]

BACKGROUND AND OBJECTIVES

Currently, the patient's baseline situation is a more important prognostic factor than age. The purpose of this study is to estimate the prognostic value of the ISAR score (Identification of Senior at Risk) in patients ≥75 years admitted to intensive care (ICU).

PATIENTS AND METHODS

Prospective multicenter study including patients ≥75 years admitted to the ICU > 24hours. On admission, 28 days and 6 months after discharge from the ICU, mortality and baseline were evaluated using the ISAR score, the Lawton and Brody scale (LB) and the Barthel index (BI), the Frail fragility scale. scale (FS), the Charlson comorbidity index (ICC), Dementia rating score (DRC).

RESULTS

38 of 94 patients (40%) were high risk (ISAR ≥ 3) and were characterized by BI 90 (65-100), LB 4 (3-5), and CDR 1 (0-2), ICC 7.5 (6-10). 58% had FS ≥ 3. In the long term, they were in a situation of dependency [BI 50 (2.5-77.5), LB 3 (0-4), CDR 1 (0-1.5)]. The ICU mortality at 28 days and 6 months was 18.4%, 25.7% and 35.3%, respectively, being statistically significant. The area under the ISAR score ROC curve was 0.749 to 0.797, in all the mortality periods studied, although the difference with other predictive variables was not significant, but the p value was the lowest.

CONCLUSIONS

The ISAR score predicts mortality in critically elderly patients with a discriminative capacity comparable to other predictive variables.

Factors Affecting Mortality in Patients Admitted to the Hospital by Emergency Physicians despite Disagreement with Other Specialties

Background

Emergency physicians (EPs) face critical admission decisions, and their judgments are questioned in some developing systems. This study aims to define the factors affecting mortality in patients admitted to the hospital by EPs against in-service departments' decision and evaluate EPs' admission diagnosis with final discharge diagnosis.

Methods

This is a retrospective analysis of prospectively collected data of ten consecutive years (2008–2017) of an emergency department of a university medical center. Adult patients (≥18 years-old) who were admitted to the hospital by EPs against in-service departments' decision were enrolled in the study. Significant factors affecting mortality were defined by the backward logistic regression model.

Results

369 consecutive patients were studied, and 195 (52.8%) were males. The mean (SD) age was 65.5 (17.3) years. The logistic regression model showed that significant factors affecting mortality were intubation (p < 0.0001), low systolic blood pressure (p = 0.006), increased age (p = 0.013), and having a comorbidity (p = 0.024). There was no significant difference between EPs' primary admission diagnosis and patient's final primary diagnosis at the time of disposition from the admitted departments (McNemar–Bowker test, p = 0.45). 96% of the primary admission diagnoses of EPs were correct.

Conclusions

Intubation, low systolic blood pressure on presentation, increased age, and having a comorbidity increased the mortality. EPs admission diagnoses were highly correlated with the final diagnosis. EPs make difficult admission decisions with high accuracy, if needed.

Demographic Shifts, Case Mix, Activity, and Outcome for Elderly Patients Admitted to Adult General ICUs in England, Wales, and Northern Ireland

OBJECTIVES

Major increases in the proportion of elderly people in the population are predicted worldwide. These population increases, along with improving therapeutic options and more aggressive treatment of elderly patients, will have major impact on the future need for healthcare resources, including critical care. Our objectives were to explore the trends in admissions, resource use, and risk-adjusted hospital mortality for older patients, admitted over a 20-year period between 1997 and 2016 to adult general ICUs in England, Wales, and Northern Ireland.

DESIGN

RETROSPECTIVE ANALYSIS OF NATIONAL CLINICAL AUDIT DATABASE.

SETTING

The Intensive Care National Audit & Research Centre Case Mix Programme Database, the national clinical audit for adult general ICUs in England, Wales, and Northern Ireland.

PATIENTS

All adult patients 16 years old or older admitted to adult general ICUs contributing data to the Case Mix Programme Database between January 1, 1997, and December 31, 2016.

MEASUREMENTS AND MAIN RESULTS

The annual number, trends, and outcomes for patients across four age bands (16-64, 65-74, 75-84, and 85+ yr) admitted to ICUs contributing to the Case Mix Programme Database from 1997 to 2016 were examined. Case mix, activity, and outcome were described in detail for the most recent cohort of patients admitted in 2015-2016. Between 1997 to 2016, the annual number of admissions to ICU of patients in the older age bands increased disproportionately, with increases that could not be explained solely by general U.K. demographic shifts. The risk-adjusted acute hospital mortality decreased significantly within each age band over the 20-year period of the study. Although acute severity at ICU admission was comparable with that of the younger age group, apart from cardiovascular and renal dysfunction, older patients received less organ support. Older patients stayed longer in hospital post-ICU discharge, and hospital mortality increased with age, but the majority of patients surviving to hospital discharge returned home.

CONCLUSIONS

Over the past two decades, elderly patients have been more commonly admitted to ICU than can be explained solely by the demographic shift. Importantly, as with the wider population, outcomes in elderly patients admitted to ICU are improving over time, with most patients returning home.

Critically Ill Pediatric Oncology Patients: What the Intensivist Needs to Know? Pediatric Critical Care Medicine

Cancer is an evolving cause of morbidity and mortality in children worldwide. In recent decades, there has been a significant increase in the survival of children with cancer, after applying new methods and treatment protocols in practice. However, the complexity of the disease itself, as well as the intensity and toxicity of treatment is such that many children require admission to the pediatric intensive care unit (PICU) which should be well equipped and led by personnel who have adequate training and expertise to provide optimum care to these complex patients. Most oncology patients who require PICU admission categorized into oncological emergencies, and/or decompensation from treatment and its side effects. In this study, we provide a summary of the essential and most recent evidence-based recommendations from published reviews and articles to aid PICU physicians and to ensure the best treatment and outcome possible for the children with such disease. How to cite this article: Al Haj Moussa A, Maaz AUR, Faqih N, Sundaram M. Critically Ill Pediatric Oncology Patients: What the Intensivist Needs to Know? Pediatric Critical Care Medicine. Indian J Crit Care Med 2020;24(12):1256-1263.

Old subjects with sepsis in the emergency department: trend analysis of case fatality rate

Background

The burden of sepsis represents a global health care problem. We aimed to assess the case fatality rate (CFR) and its predictors in subjects with sepsis admitted to a general Italian hospital from 2009 to 2016, stratified by risk score.

Methods

We performed a retrospective analysis of all sepsis-related hospitalizations after Emergency Department (ED) visit in a public Italian hospital in an 8-year period. A risk score to predict CFR was computed by logistic regression analysis of selected variables in a training set (2009–2012), and then confirmed in the whole study population. A trend analysis of CFR during the study period was performed dividing patient as high-risk (upper tertile of risk score) or low-risk.

Results

Two thousand four hundred ninety-two subjects were included. Over time the incidental admission rate (no. of sepsis-related admissions per 100 total admissions) increased from 4.1% (2009–2010) to 5.4% (2015–2016); P < 0.001, accompanied by a reduced CFR (from 38.0 to 18.4%; P < 0.001). A group of 10 variables (admission to intensive care unit, cardio-vascular dysfunction, HIV infection, diabetes, age ≥ 80 years, respiratory diseases, number of organ dysfunction, digestive diseases, dementia and cancer) were selected by the logistic model to predict CFR with good accuracy: AUC 0.873 [0.009]. Along the years CFR decreased from 31.8% (2009–2010) to 25.0% (2015–2016); P = 0.007. The relative proportion of subjects ≥80 years (overall, 52.9% of cases) and classified as high-risk did not change along the years. CFR decreased only in low-risk subjects (from 13.3 to 5.2%; P < 0.001), and particularly in those aged ≥80 (from 18.2 to 6.6%; P = 0.003), but not in high-risk individuals (from 69.9 to 64.2%; P = 0.713).

Conclusion

Between 2009 and 2016 the incidence of sepsis-related hospitalization increased in a general Italian hospital, with a downward trend in CFR, only limited to low-risk patients and particularly to subjects ≥80 years.

Supporting the Geriatric Critical Care Patient: Decision Making, Understanding Outcomes, and the Role of Palliative Care

Geriatric admissions to the intensive care unit (ICU) are common and require unique considerations for ICU clinicians. Admission to the ICU should be considered on an individual-patient basis. It is reasonable to consider a "trial of critical care" for many patients, even those who have uncertain chances of meaningful recovery. Quality of life and functional independence are especially important to older adults, and these outcomes should be considered when weighing the risks and benefits of admission or continuing ICU care.

Acute critically ill elderly patients: What about long term caregiver burden?

PURPOSE

Acute critical illness induce a high caregivers burden in the young population, however data in the older population are lacking. The objectives of this study were to evaluate caregiver burden in a critically ill old population and to assess factors associated with mild to severe burden level.

MATERIALS AND METHODS

All patients from two participating centers of the ICE-CUB 2 trial were included in the study. Inclusion criteria were an age ≥75, at least one critical condition and preserved functional status. The primary endpoint was a Zarit Burden Interview (ZBI) ≥ 21 at 6 months.

RESULTS

One hundred ninety-one patients (median age 86 [81-89] years) were included. Median caregiver ZBI at 6 months was 13 [5-27]. In the multivariate analysis, factors significantly associated with moderate to severe burden were the 6-month ADL decrease (OR: 1.3, p = .049) and the 6-month mental component of the quality of life score (OR: 0.94, p = .0009). In contrast, age, ICU admission and length of hospital stay were not associated with moderate to severe load.

CONCLUSION

In our study, functional status and mental health at 6 months were associated with mild to severe burden unlike age and admission in ICU.

Medical resource utilization patterns and mortality rates according to age among critically ill patients admitted to a medical intensive care unit

There is ongoing controversy about how to address the growing demand for intensive care for critically ill elderly patients. We investigated resource utilization patterns and mortality rates according to age among critically ill patients.We retrospectively analyzed the medical records of patients admitted to a medical intensive care unit (ICU) in a tertiary referral teaching hospital between July 2006 and June 2015. Patients were categorized into non-elderly (age <65 years, n = 4140), young-elderly (age 65-74 years, n = 2306), and old-elderly (age ≥75 years, n = 1508) groups.Among 7954 admissions, the mean age was 61.5 years, and 5061 (63.6%) were of male patients. The proportion of comorbidities increased with age (64.6% in the non-elderly vs 81.4% in the young-elderly vs 82.8% in the old-elderly, P < .001 and P for trend <.001), whereas the baseline Sequential Organ Failure Assessment (SOFA) score decreased with age (8.1 in the non-elderly vs 7.2 in the young-elderly vs 7.2 in the old-elderly, P < .001, R = -.092 and P for trend <.001). Utilization rates of mechanical ventilation (48.6% in the non-elderly vs 48.3% in the young-elderly vs 45.5% in the old-elderly, P = .11) and renal replacement therapy (27.5% in the non-elderly vs 25.5% in the young-elderly vs 24.8% in the old-elderly, P = .069) were comparable between the age groups. The 28-day ICU mortality rates were lower in the young-elderly and the old-elderly groups than in the non-elderly group (35.6% in the non-elderly vs 34.2% in the young-elderly, P = .011; and vs 32.6% in the old-elderly, P = .002).A substantial number of critically ill elderly patients used medical resources as non-elderly patients and showed favorable clinical outcomes. Our results support that underlying medical conditions rather than age per se need to be considered for determining intensive care.

Predictors of successful discharge from intensive care units in older adults aged 80 years or older: A population-based study

BACKGROUND

We determined the long-term outcomes of adult intensive care unit (ICU) patients and investigated the predictors of successful discharge for ≥6 months among older adults aged ≥80 years in Taiwan.

OBJECTIVES

To identify the predictors of ICU admission in patients aged ≥80 years and the predictors of and optimal cutoff predictive discharge score (PDS) for ICU successful discharge in patients aged ≥80 years.

DESIGN

A population-based retrospective cohort study.

SETTINGS AND PARTICIPANTS

Medical records of 282,269 individuals aged ≥80 years collected from the Taiwan National Health Insurance Research Database from 2001 to 2013.

METHODS

Demographic and clinical parameters, Charlson's comorbidity index (CCI), hospital type, and post-discharge outcomes of ICU patients aged ≥80 years were obtained from their medical records. Multivariable logistic regression was used to analyze and identify the predictors of successful discharge and treatments received by critically ill patients aged ≥80 years admitted to the ICU. The optimal cutoff PDS for successful discharge in older adults were calculated by Youden Index. Results 65,756 ICU admissions were documented, of which 21% (n = 13,825) were for adults aged ≥80 years. The successful discharge rate among ICU patients aged ≥80 years (57.2%) was significantly lower than that among those aged 18-64 and 65-79 years (81.7% and 71.5%, respectively). Multivariable logistic regression analyses revealed the following predictors of successful discharge for ≥6 months after ICU admission in adults aged ≥80 years: younger age (adjusted odds ratio [OR] = 0.95, 95% confidence interval [CI] = 0.94-0.96), shorter ICU length of stay (adjusted OR = 0.90, 95% CI = 0.88-0.92), lower CCI (adjusted OR = 0.92, 95% CI = 0.90-0.93), and no life-sustaining treatments received (Cardiopulmonary resuscitation: adjusted OR = 0.75, 95% CI = 0.68-0.84; mechanical ventilation: adjusted OR = 0.63, 95% CI = 0.57-0.71; use of inotropic agents: adjusted OR = 0.37, 95% CI = 0.34-0.41). The optimal cutoff PDS in older adults was 6 (area under the receiver operating characteristic curve = 0.73, 95% CI = 0.72-0.74).

CONCLUSION

This is the first population-based study investigating the post-discharge outcomes of ICU patients aged ≥80 years. Advanced age was a predictive factor of unsuccessful discharge from the ICU. Nevertheless, more than half of this vulnerable population survived for at least 6 months after discharge. Therefore, age should not be the sole criterion when considering ICU admission and deciding curative treatments for critically ill older adults. Comprehensive assessment and effective communication with patients and their families are also crucial in clinical decision-making for critically ill older adults.

Early Prediction of Prognosis in Elderly Acute Stroke Patients

Acute stroke has a high morbidity and mortality in elderly population. Baseline confounding illnesses, initial clinical examination, and basic laboratory tests may impact prognostics. In this study, we aimed to establish a model for predicting in-hospital mortality based on clinical data available within 12 hours of hospital admission in elderly (≥ 65 age) patients who experienced stroke.

DESIGN

Retrospective observational cohort study.

SETTING

Academic comprehensive stroke center.

PATIENTS

Elderly acute stroke patients-2005-2009 (n = 462), 2010-2012 (n = 122), and 2016-2017 (n = 123).

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

After institutional review board approval, we retrospectively queried elderly stroke patients' data from 2005 to 2009 (training dataset) to build a model to predict mortality. We designed a multivariable logistic regression model as a function of baseline severity of illness and laboratory tests, developed a nomogram, and applied it to patients from 2010 to 2012. Due to updated guidelines in 2013, we revalidated our model (2016-2017). The final model included stroke type (intracerebral hemorrhage vs ischemic stroke: odds ratio [95% CI] of 0.92 [0.50-1.68] and subarachnoid hemorrhage vs ischemic stroke: 1.0 [0.40-2.49]), year (1.01 [0.66-1.53]), age (1.78 [1.20-2.65] per 10 yr), smoking (8.0 [2.4-26.7]), mean arterial pressure less than 60 mm Hg (3.08 [1.67-5.67]), Glasgow Coma Scale (0.73 [0.66-0.80] per 1 point increment), WBC less than 11 K (0.31 [0.16-0.60]), creatinine (1.76 [1.17-2.64] for 2 vs 1), congestive heart failure (2.49 [1.06-5.82]), and warfarin (2.29 [1.17-4.47]). In summary, age, smoking, congestive heart failure, warfarin use, Glasgow Coma Scale, mean arterial pressure less than 60 mm Hg, admission WBC, and creatinine levels were independently associated with mortality in our training cohort. The model had internal area under the curve of 0.83 (0.79-0.89) after adjustment for over-fitting, indicating excellent discrimination. When applied to the test data from 2010 to 2012, the nomogram accurately predicted mortality with area under the curve of 0.79 (0.71-0.87) and scaled Brier's score of 0.17. Revalidation of the same model in the recent dataset from 2016 to 2017 confirmed accurate prediction with area under the curve of 0.83 (0.75-0.91) and scaled Brier's score of 0.27.

CONCLUSIONS

Baseline medical problems, clinical severity, and basic laboratory tests available within the first 12 hours of admission provided strong independent predictors of in-hospital mortality in elderly acute stroke patients. Our nomogram may guide interventions to improve acute care of stroke.

Risk factors for mortality in elderly and very elderly critically ill patients with sepsis: a prospective, observational, multicenter cohort study

Background

Age has been traditionally considered a risk factor for mortality in elderly patients admitted to intensive care units. The aim of this prospective, observational, multicenter cohort study is to determine the risk factors for mortality in elderly and very elderly critically ill patients with sepsis.

Results

A total of 1490 patients with ≥ 65 years of age were included in the study; most of them 1231 (82.6%) had a cardiovascular failure. The mean age (± SD) was 74.5 (± 5.6) years, and 876 (58.8%) were male. The patients were divided into two cohorts: (1) elderly: 65–79 years and (2) very elderly: ≥ 80 years. The overall hospital mortality was 48.8% (n = 727) and was significantly higher in very elderly compared to elderly patients (54.2% vs. 47.4%; p = 0.02). Factors independently associated with mortality were APACHE II score of the disease, patient location at sepsis diagnosis, development of acute kidney injury, and thrombocytopenia in the group of elderly patients. On the other hand, in the group of very elderly patients, predictors of hospital mortality were age, APACHE II score, and prompt adherence of the resuscitation bundle.

Conclusion

This prospective multicenter study found that patients aged 80 or over had higher hospital mortality compared to patients between 65 and 79 years. Age was found to be an independent risk factor only in the very elderly group, and prompt therapy provided within the first 6 h of resuscitation was associated with a reduction in hospital mortality in the very elderly patients.

Caring for the critically ill patients over 80: a narrative review

Background

There is currently no international recommendation for the admission or treatment of the critically ill older patients over 80 years of age in the intensive care unit (ICU), and there is no valid prognostic severity score that includes specific geriatric assessments.

Main body

In this review, we report recent literature focusing on older critically ill patients in order to help physicians in the multiple-step decision-making process. It is unclear under what conditions older patients may benefit from ICU admission. Consequently, there is a wide variation in triage practices, treatment intensity levels, end-of-life practices, discharge practices and frequency of geriatrician’s involvement among institutions and clinicians. In this review, we discuss important steps in caring for critically ill older patients, from the triage to long-term outcome, with a focus on specific conditions in the very old patients.

Conclusion

According to previous considerations, we provide an algorithm presented as a guide to aid in the decision-making process for the caring of the critically ill older patients.

Electronic supplementary material

The online version of this article (10.1186/s13613-018-0458-7) contains supplementary material, which is available to authorized users.

Outcome of older persons admitted to intensive care unit, mortality, prognosis factors, dependency scores and ability trajectory within 1 year: a prospective cohort study

BACKGROUND

The outcome and functional trajectory of older persons admitted to intensive care (ICU) unit remain a true question for critical care physicians and geriatricians, due to the heterogeneity of geriatric population, heterogeneity of practices and absence of guidelines.

AIM

To describe the 1-year outcome, prognosis factors and functional trajectory for older people admitted to ICU.

METHODS

In a prospective 1-year cohort study, all patients aged 75 years and over admitted to our ICU were included according to a global comprehensive geriatric assessment. Follow-up was conducted for 1 year survivors, in particular, ability scores and living conditions.

RESULTS

Of 188 patients included [aged 82.3 ± 4.7 years, 46% of admissions, median SAPS II 53.5 (43-74), ADL of Katz's score 4.2 ± 1.6, median Barthel's index 71 (55-90), AGGIR scale 4.5 ± 1.5], the ICU, hospital and 1-year mortality were, respectively, 34, 42.5 and 65.5%. Prognosis factors were: SAPS 2, mechanical ventilation, comorbidity (Lee's and Mc Cabe's scores), disability scores (ADL of Katz's score, Barthel's index and AGGIR scale), admission creatinin, hypoalbuminemia, malignant haemopathy, cognitive impairment. One-year survivors lived in their own home for 83%, with a preserved physical ability, without significant variation of the three ability assessed scores compared to prior ICU admission.

CONCLUSION

The mortality of older people admitted to ICU is high, with a significant impact of disabilty scores, and preserved 1-year survivor independency. Other studies, including a better comprehensive geriatric assessment, seem necessary to determine a predictive "phenotype" of survival with a "satisfactory" level of autonomy.

Is mortality in elderly septic patients as high as expected? Long-term mortality in a surgical sample cohort

PURPOSE

To determine the differences in short- and long-term mortality in elderly septic patients with multiorgan dysfunction syndrome and establish the factors related to non-survival.

MATERIALS AND METHODS

A retrospective cohort study was made of 206 patients over 65 years of age with septic and septic shock criteria admitted to the ICU of Rio Hortega Hospital between January 2011 and February 2017. Study variables were obtained from electronic database records.

RESULTS

A total of 206 patients were included, divided into three groups of age (65-74, 75-85, >85 years). There were no significant differences in mortality according to age group after 28 days, 90 days or one year (28.6%, 32.1% and 45.2% in the 65-74 years age group; 32.5%, 38.6% and 45.8% in the 75-85 years age group, 41%, 48.7% and 56.4% in the >85 years age group). The factors related to mortality were: chronic heart failure, non-haematological cancer, liver dysfunction and central nervous system dysfunction.

CONCLUSIONS

The results indicate that there is no significant difference in mortality among the different age groups. About 50% of the elderly patients survive a septic process. There is a close relationship between the number of affected organs and days of dysfunction, the use of interventional techniques and long-term mortality.

Critically ill elderly patients (≥ 90 years): Clinical characteristics, outcome and financial implications

BACKGROUND

Patients aged over 90 are being admitted to intensive care units (ICUs) with increasing frequency. The appropriateness of such decisions still remains controversial due to questionable outcome, limited resources and costs. Our objective was to determine the clinical characteristics and outcome in elderly patients (≥ 90 years) admitted in a medical ICU, with an additional focus on medico-economic implications.

METHODS

We reviewed the charts of all patients (≥ 90 years) admitted to our ICU. We compared them with all other ICU patients (< 90 years), sought to identify ICU mortality predictors and also performed a long-term survival follow-up.

RESULTS

In the study group of 317 stays: median age was 92 years (IQR: 91-94 years); most patients were female (71.3%.). Acute respiratory failure (52.4%) was the main admission diagnosis; mean SAPS II was 55.6±21.3; half the stays (49.2%) required mechanical ventilation (duration: 7.2±8.8 days); withholding and withdrawing decisions were made for 33.4% of all stays. ICU and hospital mortality rates were 35.7% and 42.6% respectively. Mechanical ventilation (OR = 4.83, CI95%: 1.59-15.82) was an independent predictor of ICU mortality whereas age was not (OR = 0.88, CI95%: 0.72-1.08). Social security reimbursement was significantly lower in the study group compared with all other ICU stays, both per stay (13,160 vs 22,092 Euros, p< 0.01) and per day of stay (p = 0.03).

CONCLUSION

Among critically ill elderly patients (≥ 90 years), chronological age was not an independent factor of ICU mortality. ICU care-related costs in this population should not be considered as a limiting factor for ICU admission.

How does prior health status (age, comorbidities and frailty) determine critical illness and outcome?

PURPOSE OF REVIEW

Critical illness has a significant impact on an individual's physical and mental health. However, it is less clear to what degree outcomes after critical illness are due to patients' preexisting characteristics, rather than the critical illness itself. In this review, we summarize recent findings regarding the role of age, comorbidity and frailty on long-term outcomes after critical illness.

RECENT FINDINGS

Age, comorbidity and frailty are all associated with an increased risk of critical illness. Although severity of illness drives the risk of acute mortality, recent data suggest that longer term outcomes are much more closely aligned with prior health status. There are growing data regarding the important role of noncardiovascular comorbidity, including psychiatric illness and obesity, in determining long-term outcomes. Finally, preadmission frailty is associated with poor long-term outcomes after critical illness; further data are needed to evaluate the attributable impact of critical illness on the health trajectories of frail individuals.

SUMMARY

Age, comorbidity and frailty play a critical role in determining the long-term outcomes of patients requiring intensive care.

Predictors and outcome of invasive mechanical ventilation in hospitalized patients with sepsis: data from National Inpatient Sample

Background: Sepsis is a significant cause of mechanical ventilation in hospitalized patients. Objective: The aim of our study was to recognize the demographic and clinical characteristics associated with an increased need for invasive mechanical ventilation in hospitalized sepsis patients. Methods: We used National Inpatient Sample database from the years 2009-2011 to identify sepsis patients requiring invasive mechanical ventilation. We compared demographic and clinical characteristics of sepsis patients requiring and not requiring ventilator support and conducted univariate and multivariate analyses to determine odds ratio (OR) of association. Results: A total of 4,827,769 sepsis patients were identified among which 21.38% required invasive ventilation. Multivariate logistic regression [OR (95% CI), p<0.001] determined the following to be associated with increased odds of ventilator use: morbid obesity [1.37 (1.31-1.42)] and age group 35-64 years [1.18 (1.14-1.22)] compared to 18-34 years, whereas females [0.90 (0.88-0.91)] and age >85 years [0.49 (0.47-0.52)] had reduced odds of invasive ventilation. Hyperkalemia [1.12 (1.09-1.16)] and hypernatremia [2.26 (2.16-2.36)] were associated with increased odds while hypokalemia [0.94 (0.91-0.97)] had reduced odds of invasive ventilation. Septic patients requiring IMV had higher length of stay by 9.72 ± 0.17 days, hospitalization cost by US $ 43010.31 ± 988.24 and in-hospital mortality (41.33% vs 8.91%). Conclusion: Sepsis is a major cause of intensive care unit admission and initiation of invasive ventilation. Baseline demographic and clinical features affect the need for invasive ventilation. A clear understanding of these risk factors is integral for an appropriate and timely management.

Attitudes of physicians towards the care of critically ill elderly patients - a European survey

BACKGROUND

Very elderly patients are one of the fastest growing population in ICUs worldwide. There are lots of controversies regarding admission, discharge of critically ill elderly patients, and also on treatment intensity during the ICU stay. As a consequence, practices vary considerably from one ICU to another. In that perspective, we collected opinions of experienced ICU physicians across Europe on statements focusing on patients older than 80.

METHODS

We sent an online questionnaire to the coordinator ICU physician of all participating ICUs of an recent European, observational study of Very old critically Ill Patients (VIP1 study). This questionnaire contained 12 statements about admission, triage, treatment and discharge of patients older than 80.

RESULTS

We received answers from 162 ICUs (52% of VIP1-study) spanning 20 different European countries. There were major disagreements between ICUs. Responders disagree that: there is clear evidence that ICU admission is beneficial (37%); seeking relatives' opinion is mandatory (17%); written triage guidelines must be available either at the hospital or ICU level (20%); level of care should be reduced (25%); a consultation of a geriatrician should be sought (34%) and a geriatrician should be part of the post-ICU trail (11%). The percentage of disagreement varies between statements and European regions.

CONCLUSION

There are major differences in the attitude of European ICU physicians on the admission, triage and treatment policies of patients older than 80 emphasizing the lack of consensus and poor level of evidence for most of the statements and outlining the need for future interventional studies.

Impossible decision? An investigation of risk trade-offs in the intensive care unit

In the intensive care unit (ICU), clinicians must often make risk trade-offs on patient care. For example, on deciding whether to discharge a patient before they have fully recovered in order to create a bed for another, sicker, patient. When misjudged, these decisions can negatively influence patient outcomes: yet it can be difficult, if not impossible, for clinicians to evaluate with certainty the safest course of action. Using a vignette-based interview methodology, a naturalistic decision-making approach was utilised to study this phenomena. The decision preferences of ICU clinicians (n = 24) for two common risk trade-off scenarios were investigated. Qualitative analysis revealed the sample of clinicians to reach different, and sometimes oppositional, decision preferences. These practice variations emerged from differing analyses of risk, how decisions were 'framed' (e.g. philosophies on care), past experiences, and perceptions of group and organisational norms. Implications for patient safety and clinical decision-making are discussed. Practitioner Summary: Physicians managing ICUs have to make rapid decisions with incomplete information and suboptimal resources. A qualitative vignette-based interview study examined how such decisions are made. We found physicians used a heterogeneous mixture of risk assessments, factual knowledge and prior experience to make judgements, which leads to potential for inconsistent decision-making.

Decision-making in intensive care medicine - A review

Decision-making by intensivists around accepting patients to intensive care units is a complex area, with often high-stakes, difficult, emotive decisions being made with limited patient information, high uncertainty about outcomes and extreme pressure to make these decisions quickly. This is exacerbated by a lack of clear guidelines to help guide this difficult decision-making process, with the onus largely relying on clinical experience and judgement. In addition to uncertainty compounding decision-making at the individual clinical level, it is further complicated at the multi-speciality level for the senior doctors and surgeons referring to intensive care units. This is a systematic review of the existing literature about this decision-making process and the factors that help guide these decisions on both sides of the intensive care unit admission dilemma. We found many studies exist assessing the patient factors correlated with intensive care unit admission decisions. Analysing these together suggests that factors consistently found to be correlated with a decision to admit or refuse a patient from intensive care unit are bed availability, severity of illness, initial ward or team referred from, patient choice, do not resuscitate status, age and functional baseline. Less research has been done on the decision-making process itself and the factors that are important to the accepting intensivists; however, similar themes are seen. Even less research exists on referral decision and demonstrates that in addition to the factors correlated with intensive care unit admission decisions, other wider variables are considered by the referring non-intensivists. No studies are available that investigate the decision-making process in referring non-intensivists or the mismatch of processes and pressure between the two sides of the intensive care unit referral dilemma.

Caring for critically ill oldest old patients: a clinical review

Despite technological advances, the mortality rate for critically ill oldest old patients remains high. The intensive caring should be able to combine technology and a deep humanity considering that the patients are living the last part of their lives. In addition to the traditional goals of ICU of reducing morbidity and mortality, of maintaining organ functions and restoring health, caring for seriously oldest old patients should take into account their end-of-life preferences, the advance or proxy directives if available, the prognosis, the communication, their life expectancy and the impact of multimorbidity. The aim of this review was to focus on all these aspects with an emphasis on some intensive procedures such as mechanical ventilation, noninvasive mechanical ventilation, cardiopulmonary resuscitation, renal replacement therapy, hemodynamic support, evaluation of delirium and malnutrition in this heterogeneous frail ICU population.

Characteristics and outcomes of critically-ill medical patients admitted to a tertiary medical center with restricted ICU bed capacity

BACKGROUND

In the emergency department (ED) critically-ill medical patients are treated in the resuscitation room (RR). No studies described the outcomes of critically-ill RR patients admitted to a hospital with low capacity of intensive care unit (ICU) beds.

METHODS

We included all medical patients above 18 who were admitted to a RR of a tertiary hospital during 2011-2012. We conducted multivariate logistic and Cox regressions and propensity score (PS) matched analysis to analyze parameters associated with the study outcomes.

RESULTS

In-hospital mortality rate was 32.4% in ICU admitted patients compared to 52.0% of the non-ICU critically-ill patients (p<0.001). Age above 80, female and recent ED encounters were associated with non-ICU admissions (p<0.05 for all). ICU admission had a statistically significant effect on in-hospital mortality in PS matched analysis (OR 0.36, 95% CI 0.21-0.61). A marginal effect was evident in one-year survival in PS matched landmark analysis (HR 0.50 95% CI 0.23-1.06).

CONCLUSION

ED critically-ill medical patients who were treated in the RR had high mortality rates in an institute with restricted ICU beds availability. However, those who were admitted to an ICU showed prolonged short and perhaps long term survival compared to those who were not.

The status of intensive care medicine research and a future agenda for very old patients in the ICU

The "very old intensive care patients" (abbreviated to VOPs; greater than 80 years old) are probably the fastest expanding subgroup of all intensive care unit (ICU) patients. Up until recently most ICU physicians have been reluctant to admit these VOPs. The general consensus was that there was little survival to gain and the incremental life expectancy of ICU admission was considered too small. Several publications have questioned this belief, but others have confirmed the poor long-term mortality rates in VOPs. More appropriate triage (resource limitation enforced decisions), admission decisions based on shared decision-making and improved prediction models are also needed for this particular patient group. Here, an expert panel proposes a research agenda for VOPs for the coming years.

[Elderly patients and intensive care: Systematic review and geriatrician's point of view]

The global population is aging and intensive care unit admission rate of elderly patients is dramatically increasing. The objective of this review is to provide an overview of the literature about the management of elderly patients in intensive care unit and more specifically about epidemiology, admission criteria, mortality, functional prognosis and ethical aspects. We also discuss the data on cardiorespiratory arrest, shock, acute respiratory failure and delirium. The mortality rate of patients over 80 years old in intensive care unit can reach up to 70% at 1year, but is dependent on many factors, such as comorbidities or frailty. Above all, more than half of elderly patients recover their long-term autonomy. Their quality of life is comparable to that of the same age population. Considering that the first 3months after an intensive care unit stay are the most decisive in terms of vital and functional prognosis, we will discuss strategies to improve care through the creation of dedicated intensive care-geriatrics networks.

Outcomes of elderly critically ill medical and surgical patients: a multicentre cohort study

PURPOSE

Very elderly (over 80 yr of age) critically ill patients admitted to medical-surgical intensive care units (ICUs) have a high incidence of mortality, prolonged hospital length of stay, and dependent living conditions should they survive. The primary purpose of this study is to describe the outcomes and differences in outcomes between very elderly medical patients and their surgical counterparts admitted to Canadian ICUs, thereby informing decision-making for clinicians and substitute decision-makers.

METHODS

This was a prospective multicentre cohort study of very elderly medical and surgical patients admitted to 22 Canadian academic and non-academic ICUs. Outcome measures included ICU length of stay and mortality, hospital length of stay and mortality, and disposition following hospital discharge.

RESULTS

There were 1,671 patients evaluated in this study. Patient demographics included a mean age of 84.5 yr, baseline Acute Physiology and Chronic Health Evaluation (APACHE) II score of 22.4, baseline Sequential Organ Failure Assessment (SOFA) score of 5.3, overall ICU mortality of 21.8%, and overall hospital mortality of 35.0%. Medical patient median ICU length of stay was 4.1 days, hospital length of stay was 16.2 days, ICU mortality was 26.5%, and hospital mortality was 41.5%. Surgical patient median ICU length of stay was 3.8 days, hospital length of stay was 20.1 days, ICU mortality was 18.7%, and hospital mortality was 31.6%. Only 45.0% of medical patients and 41.6% of surgical emergency patients were able to return home to live.

CONCLUSIONS

In this large sample of critically ill medical and surgical patients, the admission SOFA score and hospital lengths of stay were not different between the two groups, but medical patients had longer ICU lengths of stay and higher ICU and hospital mortality than surgical patients.

Early hemodynamic assessment and treatment of elderly patients in the medical ICU

BACKGROUND AND OBJECTIVES

The aim of this retrospective study was to analyze differences in the initial hemodynamic assessment and its impact on the treatment in patients aged 80 years or older compared to younger patients during the first 6 h after admission to the medical intensive care unit (ICU).

RESULTS

We analyzed 615 consecutive patients admitted to the medical ICU of which 124 (20%) were aged 80 years or more. The older group had a significantly higher acute physiology and chronic health evaluation (APACHE II) score, an overall mortality in the ICU and a presence of pre-existing cardiac disease. Both groups did not differ in the presence of shock and shock types on admission. In 57% of older and in 56% of younger patients, transthoracic echocardiography was performed with a higher therapeutic impact in the older patients. Transesophageal echocardiography was performed in 3% of the patients in both groups for specific diagnostic problems. Early reassessment with transthoracic echocardiography was necessary in 5% of the older and in 6% of the younger patients and resulted in a change of the treatment in one third of the patients. Continuous invasive hemodynamic monitoring was used in 11% of the older and in 10% of the younger patients and resulted in a therapeutic change in 71% of the older and in 64% of the younger patients.

CONCLUSION

Patients aged 80 years or older represent 20% of all admissions to the medical ICU. Once admitted the older patients were similarly hemodynamically assessed as the younger ones with a similar impact on the treatment.

Assessing the utility of ICU admission for octogenarians

BACKGROUND

Advanced age is associated with increased severity of acute critical illnesses and admission to ICU. Despite advances in the support for older critically ill patients, the short- and long-term mortality rates remain substantial. The purpose of this study is to analyze the factors influencing the outcome of a geriatric population admitted to the ICU.

METHODS

A single-center, prospective, observational study was conducted among all geriatric patients, 80 years or older, admitted to ICU during a 6-month study period.

RESULTS

Fifty-two patients were admitted. Mean age was 85.1 years (range 80-96), mean APACHE-II score was 24.7 (range 11-40), and mean frailty score was 5.8 (range 3-8). Thirty-nine (75 %) patients received mechanical ventilation, and 31 (59.7 %) were on vasoactive therapy. Twenty-four (46.3 %) patients died during their hospital admission, and 13 (25 %) of them expired in ICU.

DISCUSSION

Advanced age, needs for vasopressor therapy, and mechanical ventilation are independent predictive factors of adverse outcome. Pre-admission functional status was not independently associated with unfavorable outcome.

Designing and conducting a cluster-randomized trial of ICU admission for the elderly patients: the ICE-CUB 2 study

Background

The benefit of ICU admission for elderly patients remains controversial. This report highlights the methodology, the feasibility of and the ethical and logistical constraints in designing and conducting a cluster-randomized trial of intensive care unit (ICU) admission for critically ill elderly patients.

Methods

We designed an interventional open-label cluster-randomized controlled trial in 24 centres in France. Clusters were healthcare centres with at least one emergency department (ED) and one ICU. Healthcare centres were randomly assigned either to recommend a systematic ICU admission (intervention group) or to follow standard practices regarding ICU admission (control group). Clusters were stratified by the number of ED annual visits (<44,616 or >44,616 visits), the presence or absence of a geriatric ward and the geographical area (Paris area vs other regions in France). All elderly patients (≥75 years of age) who got to the ED were assessed for eligibility. Patients were included if they had one of the pre-established critical conditions, a preserved functional status as assessed by an ADL scale ≥4 (0 = very dependent, 6 = independent), a preserved nutritional status (subjectively assessed by physicians) and without active cancer. Exclusion criteria were an ED stay >24 h, a secondary referral to the ED and refusal to participate. The primary outcome was the mortality at 6 months calculated at the individual patient level. Secondary outcomes were ICU and hospital mortality, as well as ADL scale and quality of life (as assessed by the SF-12 Health Survey) at 6 months.

Results

Between January 2012 and April 2015, 3036 patients were included in the trial, 1518 patients in 11 clusters allocated to intervention group and 1518 patients in 13 clusters allocated to standard care. There were 51 protocol violations.

Conclusions

The ICE-CUB 2 trial was deemed feasible and ethically acceptable. The ICE-CUB 2 trial will be the first cluster-randomized trial to assess the benefits of ICU admission for selected elderly patients on long-term mortality.

Trial registration Clinical trials.gov identifier: NCT01508819

Electronic supplementary material

The online version of this article (doi:10.1186/s13613-016-0161-5) contains supplementary material, which is available to authorized users.

A clinical prediction tool for hospital mortality in critically ill elderly patients

BACKGROUND

Very elderly (80 years of age and above) critically ill patients admitted to medical intensive care units (ICUs) have a high incidence of mortality, prolonged hospital length of stay, and living in a dependent state should they survive.

OBJECTIVE

The objective was to develop a clinical prediction tool for hospital mortality to improve future end-of-life decision making for very elderly patients who are admitted to Canadian ICUs.

DESIGN

This was a prospective, multicenter cohort study.

SETTING

Data from 1033 very elderly medical patients admitted to 22 Canadian academic and nonacademic ICUs were analyzed.

INTERVENTIONS

A univariate analysis of selected predictors to ascertain prognostic power was performed, followed by multivariable logistic regression to derive the final prediction tool.

MAIN RESULTS

We included 1033 elderly patients in the analyses. Mean age was 84.6±3.5 years, 55% were male, mean Acute Physiology and Chronic Health Evaluation II score was 23.1±7.9, Sequential Organ Failure Assessment score was 5.3±3.4, median ICU length of stay was 4.1 (interquartile range, 6.2) days, median hospital length of stay was 16.2 (interquartile range, 25.0) days, and ICU mortality and all-cause hospital mortality were 27% and 41%, respectively. Important predictors of hospital mortality at the time of ICU admission include age (85-90 years of age had an odds ratio of hospital mortality of 1.63 [1.04-2.56]; >90 years of age had an odds ratio of hospital mortality of 2.64 [1.27-5.48]), serum creatinine (120-300 had an odds ratio of hospital mortality of 1.57 [1.01-2.44]; >300 had an odds ratio of hospital mortality of 5.29 [2.43-11.51]), Glasgow Coma Scale (13-14 had an odds ratio of hospital mortality of 2.09 [1.09-3.98]; 8-12 had an odds ratio of hospital mortality of 2.31 [1.34-3.97]; 4-7 had an odds ratio of hospital mortality of 5.75 [3.02-10.95]; 3 had an odds ratio of hospital mortality of 8.97 [3.70-21.74]), and serum pH (<7.15 had an odds ratio of hospital mortality of 2.44 [1.07-5.60]).

CONCLUSION

We identified high-risk characteristics for hospital mortality in the elderly population and developed a Risk Scale that may be used to inform discussions regarding goals of care in the future. Further study is warranted to validate the Risk Scale in other settings and evaluate its impact on clinical decision making.