Evaluation of triage decisions for intensive care admission

Clinical outcomes of clostridioides difficile infection in the very elderly

BACKGROUND

Clostridioides difficile infection (CDI) causes considerable morbidity, mortality, and economic cost. Advanced age, prolonged stay in healthcare facility, and exposure to antibiotics are leading risk factors for CDI. Data on CDI clinical outcomes in the very elderly patients are limited.

METHODS

A retrospective cohort study of patients hospitalized between 2016 and 2018 with CDI. We evaluated demographic clinical and laboratory parameters. Major clinical outcomes were evaluated including duration of hospital stay, admission to intensive care unit (ICU), in-hospital mortality, 30 days post-discharge mortality, and readmission/mortality composite outcome. We compared patients aged up to 80 years (elderly) to those of 80 years old or more (very elderly).

RESULTS

Of 196 patients included in the study, 112 (57%) were very elderly with a mean age of 86 versus 67 years in the elderly group. The duration of hospital stays, and intensive care unit admission frequency were significantly reduced in the very elderly (13 vs. 22 days p = 0.003 and 1.8% vs. 10.7% p = 0.01, respectively). No significant difference was found in the frequencies of in-hospital and in 30 days post-discharge mortality.

CONCLUSIONS

In our cohort, the duration of hospital stay seemed to be shorter in the very elderly with no increase of in-hospital and post-discharge mortality. Although admitted less frequently to ICU, the in-hospital survival of the very elderly was not adversely affected compared to the elderly, suggesting that very advanced age per se should not be a major factor to consider in determining the prognosis of a patient with CDI.

Organizational ethics in urgent transfers of severely disabled people to intensive care units - a qualitative study

PURPOSE

Urgent transfers of severely impaired patients with chronic neurological disability (PwND) from a neurological physical and rehabilitation medicine (nPRM) to an intensive care unit (ICU) or an emergency room (ER) served as the basis for this study. We hypothesized that human and structural factors interfered with but were not directly related to the acute context.

METHODS

We decided to use a qualitative methodology, based on in-depth interviews with 16 ICU/ER physicians. We used mixed bottom-up and top-down methods. We interpreted our data using a thematic approach based on the key principles of grounded theory, which were modified with consideration of the literature.

RESULTS

Three main domains emerged. The impact of the clinical setting notably implied the patient's clinical typology between the acute event and the chronic background, but also bed availability. Key elements of the telephone negotiation were confidence and perceived usefulness of the transfer. Finally, the otherness of some categories of patients, transferred with more difficulty, involved those with cognitive impairment.

CONCLUSIONS

The existence of healthcare pathways for many years has created an organizational culture between departments of nPRM and ICUs. But urgent transfers also imply organizational ethics, as a balance should be struck between utility and equity. IMPLICATIONS FOR REHABILITATIONStructural and human factors interfere in urgent transfers, involving the settings within health pathways, the key elements of negotiation to get confidence and a perceived utility of transfer, and certain categories of people, especially those with cognitive impairment.Transfers that imply negotiation between practitioners from physical and rehabilitation medicine and intensive care unit departments, lead to a need of organizational ethics, as a balance should be struck between the principles of utility and equity.The development of facilitating tools such as a commitment charter is of paramount importance as it can support ethical decision-making.

Decreased Utilization of Low Tidal Volume Ventilation Outside of the Intensive Care Unit as Compared to Inside

Background: Investigations into the use of low tidal volume ventilation (LTVV) have been performed for patients in emergency departments (EDs) or intensive care units (ICUs). Practice differences between the ICU and non-ICU care areas have not been described. We hypothesized that the initial implementation of LTVV would be better inside ICUs than outside. Methods: This is a retrospective observational study of patients initiated on invasive mechanical ventilation (IMV) between January 1, 2016, and July 17, 2019. Initial recorded tidal volumes after intubation were used to compare the use of LTVV between care areas. Low tidal volume was considered 6.5 cc/kg of ideal body weight (IBW) or less. The primary outcome was the initiation of low tidal volume. Sensitivity analyses used a tidal volume of 8 cc/kg of IBW or less, and direct comparisons were performed between the ICU, ED, and wards. Results: There were 6392 initiations of IMV: 2217 (34.7%) in the ICU and 4175 (65.3%) outside. LTVV was more likely to be initiated in the ICU than outside (46.5% vs 34.2%; adjusted odds ratio [aOR] 0.62, 95% confidence interval [CI] 0.56-0.71, P < .01). The ICU also had more implementation when PaO2/FiO2 ratio was less than 300, (48.0% vs 34.6%; aOR 0.59, 95% CI 0.48-0.71, P < .01). When comparing individual locations, wards had lower odds of LTVV than the ICU (aOR 0.82, 95% CI 0.70-0.96, P  =  .02), the ED had lower odds than the ICU (aOR 0.55, 95% CI 0.48-0.63, P < .01), and the ED had lower odds than the wards (aOR 0.66, 95% CI 0.56-0.77, P < .01). Interpretation: Initial low tidal volumes were more likely to be initiated in the ICU than outside. This finding remained when examining only patients with a PaO2/FiO2 ratio less than 300. Care areas outside of the ICU do not employ LTVV as often as ICUs and are, therefore, a possible target for process improvement.

Triage of Critically Ill Patients: Characteristics and Outcomes of Patients Refused as Too Well for Intensive Care

BACKGROUND

The appropriate selection of patients for the intensive care unit (ICU) is a concern in acute care settings. However, the description of patients deemed too well for the ICU has been rarely reported.

METHODS

We conducted a single-centre retrospective observational study of all patients either deemed "too well" for or admitted to the ICU during one year. Refused patients were screened for unexpected events within 7 days, defined as either ICU admission without another indication, or death without treatment limitations. Patients' characteristics and organisational factors were analysed according to refusal status, outcome and delay in ICU admission.

RESULTS

Among 2219 enrolled patients, the refusal rate was 10.4%. Refusal was associated with diagnostic groups, treatment limitations, patients' location on a ward, night time and ICU occupancy. Unexpected events occurred in 16 (6.9%) refused patients. A worse outcome was associated with time spent in hospital before refusal, patients' location on a ward, SOFA score and physician's expertise. Delayed ICU admissions were associated with ICU and hospital length of stay.

CONCLUSIONS

ICU triage selected safely most patients who would have probably not benefited from the ICU. We identified individual and organisational factors associated with ICU refusal, subsequent ICU admission or death.

The positive impact of COVID-19 on critical care: from unprecedented challenges to transformative changes, from the perspective of young intensivists

Over the past 2 years, SARS-CoV-2 infection has resulted in numerous hospitalizations and deaths worldwide. As young intensivists, we have been at the forefront of the fight against the COVID-19 pandemic and it has been an intense learning experience affecting all aspects of our specialty. Critical care was put forward as a priority and managed to adapt to the influx of patients and the growing demand for beds, financial and material resources, thereby highlighting its flexibility and central role in the healthcare system. Intensivists assumed an essential and unprecedented role in public life, which was important when claiming for indispensable material and human investments. Physicians and researchers around the world worked hand-in-hand to advance research and better manage this disease by integrating a rapidly growing body of evidence into guidelines. Our daily ethical practices and communication with families were challenged by the massive influx of patients and restricted visitation policies, forcing us to improve our collaboration with other specialties and innovate with new communication channels. However, the picture was not all bright, and some of these achievements are already fading over time despite the ongoing pandemic and hospital crisis. In addition, the pandemic has demonstrated the need to improve the working conditions and well-being of critical care workers to cope with the current shortage of human resources. Despite the gloomy atmosphere, we remain optimistic. In this ten-key points review, we outline our vision on how to capitalize on the lasting impact of the pandemic to face future challenges and foster transformative changes of critical care for the better.

Management and outcomes of critically ill adult patients with convulsive status epilepticus and preadmission functional impairments

OBJECTIVE

Functional status is among the criteria relevant to decisions about intensive care unit (ICU) admission and level of care. Our main objective was to describe the characteristics and outcomes of adult patients requiring ICU admission for Convulsive Status Epilepticus (CSE) according to whether their functional status was previously impaired.

METHODS

We retrospectively analyzed data from consecutive adults who were admitted to two French ICUs for CSE between 2005 and 2018 and then included them retrospectively in the Ictal Registry. Pre-existing functional impairment was defined as a Glasgow Outcome Scale (GOS) score of 3 before admission. The primary outcome measure was a loss of ≥1 GOS score point at 1 year. Multivariate analysis was used to identify factors associated with this measure.

RESULTS

The 206 women and 293 men had a median age of 59 years [47-70 years]. The preadmission GOS score was 3 in 56 (11.2%) patients and 4 or 5 in 443 patients. Compared to the GOS-4/5 group, the GOS-3 group was characterized by a higher frequency of treatment-limitation decisions (35.7% vs. 12%, P < 0.0001), similar ICU mortality (19.6 vs. 13.1, P = 0.22), higher 1-year mortality (39.3% vs. 25.6%, P < 0.01), and a similar proportion of patients with no worsening of the GOS score at 1 year (42.9 vs. 44.1, P = 0.89). By multivariate analysis, not achieving a favorable 1-year outcome was associated with age above 59 years (OR, 2.36; 95%CI, 1.55-3.58, P < 0.0001), preexisting ultimately fatal comorbidity (OR, 2.92; 95%CI, 1.71-4.98, P = 0.0001), refractory CSE (OR, 2.19; 95%CI, 1.43-3.36, P = 0.0004), cerebral insult as the cause of CSE (OR, 2.75; 95%CI, 1.75-4.27, P < 0.0001), and Logistic Organ Dysfunction score ≥ 3 at ICU admission (OR, 2.08; 95%CI, 1.37-3.15, P = 0.0006). A preadmission GOS score of 3 was not associated with a functional decline during the first year (OR, 0.61; 95%CI, 0.31-1.22, P = 0.17).

SIGNIFICANCE

Preadmission functional status in adult patients with CSE is not independently associated with a functional decline during the first postadmission year. This finding may help physicians make ICU admission decisions and adult patients write advance directives.

STUDY REGISTRATION

#NCT03457831.

Validation of the Acute Physiology and Chronic Health Evaluation (APACHE) II Score in COVID-19 Patients Admitted to the Intensive Care Unit in Times of Resource Scarcity

Introduction During the coronavirus disease 2019 (COVID-19) pandemic, a high number of patients needed to be admitted to the intensive care units (ICUs). Such a high demand led to periods where resources were insufficient and the triage of patients was needed. This study aims to evaluate the performance of the Acute Physiology and Chronic Health Evaluation (APACHE) II as a predictor of mortality in periods where triage protocols were implemented. Methods A single-center, longitudinal, retrospective cohort study was performed on patients admitted to the ICU between January 2020 and December 2021. Patients were divided into two periods: Period 1 (where patients needing ICU admission outnumbered the available resources) and Period 2 (where resources were adequate). The discriminative power of the APACHE II was checked using the receiver operating characteristic (ROC) curves. Calibration was accessed, and survival analysis was performed. Results Data from 428 patients were analyzed (229 in Period 1 and 199 in Period 2). The area under the ROC curve (AUROC) was 0.763 for Period 1 and 0.761 for Period 2, reflecting a good discriminative power. Logistic regression showed the APACHE II to be a significant predictor of mortality. The Hosmer-Lemeshow test demonstrated good calibration. The Youden index was determined, and a log-rank test showed a significantly lower survival for patients with higher APACHE II scores in both periods. Conclusions The APACHE II score is an effective tool in predicting mortality in patients with COVID-19 admitted to the ICU in a period where resource allocation and triage of patients are needed, paving a way for the future development of better and improved triage systems.

Investigating the impact of brief training in decision-making on treatment escalation to intensive care using objective structured clinical examination-style scenarios

Background

The decision to admit patients to the intensive care unit (ICU) is complex. Structuring the decision-making process may be beneficial to patients and decision-makers alike. The aim of this study was to investigate the feasibility and impact of a brief training intervention on ICU treatment escalation decisions using the Warwick model- a structured decision-making framework for treatment escalation decisions.

Methods

Treatment escalation decisions were assessed using Objective Structured Clinical Examination-style scenarios. Participants were ICU and anaesthetic registrars with experience of making ICU admission decisions. Participants completed one scenario, followed by training with the decision-making framework and subsequently a second scenario. Decision-making data was collected using checklists, note entries and post-scenario questionnaires.

Results

Twelve participants were enrolled. Brief decision-making training was successfully delivered during the normal ICU working day. Following training participants demonstrated greater evidence of balancing the burdens and benefits of treatment escalation. On visual analogue scales of 0-10, participants felt better trained to make treatment escalation decisions (4.9 vs 6.8, p = 0.017) and felt their decision-making was more structured (4.7 vs 8.1, p = 0.017).Overall, participants provided positive feedback and reported feeling more prepared for the task of making treatment escalation decisions.

Conclusion

Our findings suggest that a brief training intervention is a feasible way to improve the decision-making process by improving decision-making structure, reasoning and documentation. Training was implemented successfully, acceptable to participants and participants were able to apply their learning. Further studies of regional and national cohorts are needed to determine if training benefit is sustained and generalisable.

Validation of a five-level triage system in pediatric trauma and the effectiveness of triage nurse modification: A multi-center cohort analysis

INTRODUCTION

Triage is one of the most important tasks for nurses in a modern emergency department (ED) and it plays a critical role in pediatric trauma. An appropriate triage system can improve patient outcomes and decrease resource wasting. However, triage systems for pediatric trauma have not been validated worldwide. To ensure clinical reliability, nurses are allowed to override the acuity level at the end of the routine triage process. This study aimed to validate the Taiwan Triage and Acuity Scale (TTAS) for pediatric trauma and evaluate the effectiveness of triage nurse modification.

METHODS

This was a multicenter retrospective cohort study analyzing triage data of all pediatric trauma patients who visited six EDs across Taiwan from 2015 to 2019. Each patient was triaged by a well-trained nurse and assigned an acuity level. Triage nurses can modify their acuity based on their professional judgment. The primary outcome was the predictive performance of TTAS for pediatric trauma, including hospitalization, ED length of stay, emergency surgery, and costs. The secondary outcome was the accuracy of nurse modification and the contributing factors. Multivariate regression was used for data analysis. The Akaike information criterion and C-statistics were utilized to measure the prediction performance of TTAS.

RESULTS

In total, 45,364 pediatric patients were included in this study. Overall mortality, hospitalization, and emergency surgery rates were 0.17, 5.4, and 0.76%, respectively. In almost all cases (97.48%), the triage nurses agreed upon the original scale. All major outcomes showed a significant positive correlation with the upgrade of acuity levels in TTAS in pediatric trauma patients. After nurse modification, the Akaike information criterion decreased and C-statistics increased, indicating better prediction performance. The factors contributing to this modification were being under 6 years of age, heart rate, respiratory rate, and primary location of injuries.

CONCLUSION

The TTAS is a reliable triage tool for pediatric trauma patients. Modification by well-experienced triage nurses can enhance its prediction performance. Younger age, heart rate, respiratory rate, and primary location of injuries contributed to modifications of the triage nurse. Further external validation is required to determine its role in pediatric trauma worldwide.

No Excess Mortality in Geriatric Patients With Femoral Neck Fractures Due to Shorter Intensive Care Caused by COVID-19

Background

Since March 2020, increasing numbers of hospitalized patients with coronavirus disease-2019 (COVID-19) infections have been registered. The first and the second waves necessitated the extensive restructuring of hospital infrastructure with prioritization of intensive care capacity. Elective surgeries in all surgical disciplines were postponed to preserve intensive care capacity for COVID-19 patients. However, emergency care for trauma patients had to be maintained. Especially, geriatric patients with hip fractures often require intensive care.

This study sought to investigate the possible excess mortality of geriatric patients with femoral neck fractures due to shorter intensive care unit stays because of COVID-19.

Material and methods

All patients over the age of 70 between March 2019 and February 2020 who underwent surgical treatment for femoral neck fractures were included. This cohort (group 1) was compared with all patients over 70 who received surgical treatment for hip fractures during the period of the pandemic between March 2020 and February 2021 with attention to potential excess mortality due to low intensive care capacity (group 2). Demographic data, American Society of Anesthesiologists (ASA) score, surgical modality, ICU stay, complications, and mortality were analyzed and compared.

Results

A total of 356 patients with 178 in each cohort with a mean age of 82.7 in group 1 and 84.8 in group 2 (p<0.05) were included. No significant difference was seen in sex and ASA scores. During the pandemic, patients with hip fractures had a significantly shorter stay in ICU (0.4 ± 0.9 vs 1.2 ± 2.8 days; p<0.05), shorter time to surgery (29.9 ± 8.2 vs 16.8 ± 5.3 h; p<0.05) and operations were significantly more often performed out-of-hour (4 pm-12 am 47.8% vs 56.7%; 12 am-8 am 7.9% vs 13.5%, p<0.05). Interestingly, mortality was lower during the pandemic, but the difference did not reach significance (6.7% vs 12.4%, p=0.102).

Conclusion

During the pandemic, ICU capacity was reserved for COVID patients. Due to a change in the law of the Joint Federal Committee with effect from January 1, 2021, all patients with proximal femur fractures had to be operated on within the first 24 hours, which is why a significantly shorter time to surgery was observed during the pandemic period. As a consequence, a lower mortality rate was observed, although no significance could be reached.

Outcome of cancer patients considered for intensive care unit admission in two university hospitals in the Netherlands: the danger of delayed ICU admissions and off-hour triage decisions

Background

Very few studies assessed the association between Intensive Care Unit (ICU) triage decisions and mortality. The aim of this study was to assess whether an association could be found between 30-day mortality, and ICU admission consultation conditions and triage decisions.

Methods

We conducted a retrospective cohort study in two large referral university hospitals in the Netherlands. We identified all adult cancer patients for whom ICU admission was requested from 2016 to 2019. Via a multivariable logistic regression analysis, we assessed the association between 30-day mortality, and ICU admission consultation conditions and triage decisions.

Results

Of the 780 cancer patients for whom ICU admission was requested, 332 patients (42.6%) were considered ‘too well to benefit’ from ICU admission, 382 (49%) patients were immediately admitted to the ICU and 66 patients (8.4%) were considered ‘too sick to benefit’ according to the consulting intensivist(s). The 30-day mortality in these subgroups was 30.1%, 36.9% and 81.8%, respectively. In the patient group considered ‘too well to benefit’, 258 patients were never admitted to the ICU and 74 patients (9.5% of the overall study population, 22.3% of the patients ‘too well to benefit’) were admitted to the ICU after a second ICU admission request (delayed ICU admission). Thirty-day mortality in these groups was 25.6% and 45.9%. After adjustment for confounders, ICU consultations during off-hours (OR 1.61, 95% CI 1.09–2.38, p-value 0.02) and delayed ICU admission (OR 1.83, 95% CI 1.00–3.33, p-value 0.048 compared to “ICU admission”) were independently associated with 30-day mortality.

Conclusion

The ICU denial rate in our study was high (51%). Sixty percent of the ICU triage decisions in cancer patients were made during off-hours, and 22.3% of the patients initially considered “too well to benefit” from ICU admission were subsequently admitted to the ICU. Both decisions during off-hours and a delayed ICU admission were associated with an increased risk of death at 30 days. Our study suggests that in cancer patients, ICU triage decisions should be discussed during on-hours, and ICU admission policy should be broadened, with a lower admission threshold for critically ill cancer patients.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13613-021-00898-2.

Managing admission and discharge processes in intensive care units

The intensive care unit (ICU) is one of the most crucial and expensive resources in a health care system. While high fixed costs usually lead to tight capacities, shortages have severe consequences. Thus, various challenging issues exist: When should an ICU admit or reject arriving patients in general? Should ICUs always be able to admit critical patients or rather focus on high utilization? On an operational level, both admission control of arriving patients and demand-driven early discharge of currently residing patients are decision variables and should be considered simultaneously. This paper discusses the trade-off between medical and monetary goals when managing intensive care units by modeling the problem as a Markov decision process. Intuitive, myopic rule mimicking decision-making in practice is applied as a benchmark. In a numerical study based on real-world data, we demonstrate that the medical results deteriorate dramatically when focusing on monetary goals only, and vice versa. Using our model, we illustrate the trade-off along an efficiency frontier that accounts for all combinations of medical and monetary goals. Coming from a solution that optimizes monetary costs, a significant reduction of expected mortality can be achieved at little additional monetary cost.

Costs of Providing Intensive Care for Adult Non-survivors in a Caribbean Teaching Hospital

Introduction  Intensive Care Unit (ICU) is a resource intense area consuming a vast majority of the hospital's budget. This study aimed to determine the costs of providing critical care to non-survivors in an adult ICU at a tertiary care teaching hospital in the Caribbean. Methods  A chart review of non-survivors over a period of nine months was done in an adult ICU. Admission diagnoses, Simplified Acute Physiology Score (SAPS II) score, daily laboratory investigations, drugs, and all therapeutic interventions including mechanical ventilation were recorded. Activity-based costs were prospectively estimated by data obtained from ICU flowsheets, nursing-activity scores, and various hospital departments. Results A total of 316 days of ICU intervention data were collected from the 39 non-survivors enrolled. The median patient age was 56 years. The median ICU length of stay (LOS) and the median duration of mechanical ventilation were five days. The median SAPS II score was 62. One-third of patients had cardiovascular problems and 28% were surgical patients. The total cost of providing ICU care for the non-survivors was US$ 765,233 with an average cost of US$ 19,621 per patient. Human resources (39%) and consumables (29%) were the highest components of costs. Patients who had a cardiac arrest before admission consumed more resources. A higher SAPS II score predicted a shorter LOS (p=0.01) and lower costs (p=0.03). Conclusions  ICU care for non-survivors consume significantly high resources. Stringent admission protocols and consideration of medical futility at an earlier stage, using prognostic models and clinical criteria may prevent unnecessary interventions and costs.

Practices in Triage and Transfer of Critically Ill Patients: A Qualitative Systematic Review of Selection Criteria

OBJECTIVES

To identify and appraise articles describing criteria used to prioritize or withhold a critical care admission.

DATA SOURCES

PubMed, Embase, Medline, EBM Reviews, and CINAHL Complete databases. Gray literature searches and a manual review of references were also performed. Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines were followed.

STUDY SELECTION

We sought all articles and abstracts of original research as well as local, provincial, or national policies on the topic of ICU resource allocation. We excluded studies whose population of interest was neonatal, pediatric, trauma, or noncritically ill. Screening of 6,633 citations was conducted.

DATA EXTRACTION

Triage and/or transport criteria were extracted, based on type of article, methodology, publication year, and country. An appraisal scale was developed to assess the quality of identified articles. We also developed a robustness score to further appraise the robustness of the evidence supporting each criterion. Finally, all criteria were extracted, evaluated, and grouped by theme.

DATA SYNTHESIS

One-hundred twenty-nine articles were included. These were mainly original research (34%), guidelines (26%), and reviews (21%). Among them, we identified 200 unique triage and transport criteria. Most articles highlighted an exclusion (71%) rather than a prioritization mechanism (17%). Very few articles pertained to transport of critically ill patients (4%). Criteria were classified in one of four emerging themes: patient, condition, physician, and context. The majority of criteria used were nonspecific. No study prospectively evaluated the implementation of its cited criteria.

CONCLUSIONS

This systematic review identified 200 criteria classified within four themes that may be included when devising triage programs including the coronavirus disease 2019 pandemic. We identified significant knowledge gaps where research would assist in improving existing triage criteria and guidelines, aiming to decrease arbitrary decisions and variability.

Triage and Prognostication of Cancer Patients Admitted to the Intensive Care Unit

Cancer remains a leading cause of morbidity and mortality. Advances in cancer screening, early detection, targeted therapies, and supportive care have led to improvements in outcomes and quality of life. The rapid increase in novel cancer therapies can cause life-threatening adverse events. The need for intensive care unit (ICU) care is projected to increase. Until 2 decades ago, cancer diagnosis often precluded ICU admission. Recently, substantial cancer survival has been achieved; therefore, ICU denial is not recommended. ICU resources are limited and expensive; hence, appropriate utilization is needed. This review focuses on triage and prognosis in critically ill cancer patients requiring ICU admission.

Impact of early ICU admission on outcome of critically ill and critically ill cancer patients: A systematic review and meta-analysis

OBJECTIVE

Prognostic impact of early ICU admission remains controversial. The aim of this review was to investigate the impact of early ICU admission in the general ICU population and in critically ill cancer patients and to report level of evidences of this later.

METHODS

Systematic review and meta-analysis performed on articles published between 1970 and 2017. Two authors extracted data. Influence of early ICU admission on mortality is reported as Risk Ratio (95%CI) using both fixed and random-effects model.

DATA SYNTHESIS

For general ICU population, 31 studies reporting on 73,213 patients were included (including 66,797 patients with early ICU admission) and for critically ill cancer patients 14 studies reporting on 2414 patients (including 1272 with early ICU admission) were included. Early ICU admission was associated with decreased mortality using a random effect model (RR 0.65; 95% confidence interval 0.58-0.73; I² = 66%) in overall ICU population as in critically ill cancer patients (RR 0.69; 95% confidence interval 0.52-0.90; I² = 85%). To explore heterogeneity, a meta-regression was performed. Characteristics of the trials (prospective vs. retrospective, monocenter vs. multicenter) had no impact on findings. Publication after 2010 (median publication period) was associated with a lower effect of early ICU admission (estimate 0.37; 95%CI 0.14-0.60; P = 0.002) in the general ICU population. A significant publication bias was observed.

CONCLUSION

Theses results suggest that early ICU admission is associated with decreased mortality in the general ICU population and in CICP. These results were however obtained from high risk of bias studies and a high heterogeneity was noted. Systematic review registration: PROSPERO 2018 CRD42018094828.

Impact of critical care response team implementation on oncology patient outcomes: A retrospective cohort study

Introduction:

The main goal of a critical care response team (CCRT) is to quickly assess and transfer, if required, rapidly deteriorating patients to an intensive care unit (ICU) to prevent cardiopulmonary arrest, stabilize patients' condition, and help in optimizing the care provided by the primary team. The objective of this study was to investigate the correlation between early intervention by CCRT and the outcome of oncology patients.

Materials and Methods:

This is a retrospective cohort study conducted at King Abdulaziz Medical City (KAMC), Riyadh, Saudi Arabia. KAMC is a tertiary care facility with 1200-bed capacity. The study compared oncology patients to nononcology patients.

Results:

Over 4 years, a total number of 4941 patients were reviewed, of which 172 were oncology patients. The average age of patients in the oncology group was 48.8 ± 20.7, while the average age for nononcology was 52.8 ± 21.2 (P = 0.016). The average Acute Physiology and Chronic Health Evaluation II score on admission for oncology patients was higher than that for the nononcology group (27.8 ± 8.9 vs. 23.6 ± 9.3, respectively). Lower ICU mortality was seen after CCRT implementation (38.8% vs. 62.7%). The average duration of hospital stay and ICU stay increased after CCRT implementation (37.34 vs. 29.31 and 11.93 vs. 8.9, respectively).

Conclusion:

In this study, we identified that early intervention by implementing CCRT had a significant impact in reducing ICU mortality for oncology and nononcology patients.

Effect of Delayed Admission to Intensive Care Units from the Emergency Department on the Mortality of Critically Ill Patients

Background: Increasing in emergency department need to critical care, the number of intensive care unit bed worldwide is inadequate to meet these applies. Objectives: The aim of this study was to investigate the effect of waiting for admission to the Intensive Care Unit (ICU) in the Emergency Department (ED) on the length of stay in the ICU and the mortality of critically ill patients. Methods: This retrospective cohort study carried out between January 2012 - 2019 patients admitted to the ICU of a training and research hospital. The data of 1297 adult patients were obtained by searching the Clinical Decision Support System. Results: The data of the patients were evaluated in two groups as those considered to be delayed and non-delayed. It was determined that the delay of two hours increased the risk of mortality 1.5 times. Hazard Ratios (HR) was 1.548 (1.077 - 2.224). Patients whose ICU admission was delayed by 5 - 6 hours were found to have the highest risk in terms of mortality (HR = 2.291 [1.503 - 3.493]). A statistically significant difference was found in the ICU mortality, 28-day and, 90-day mortality between the two groups. ICU mortality for all patients’ general was 25.2% (327/1297). This rate was 11.4% (55/481) in the non-delayed group and 33.3% (272/816) in the delayed group (P < 0.001). The 28-day mortality rate for all patients’ general was 26.9% (349/1297). This rate was found to be 13.5% (65/481) in the non-delayed group and 34.8% (284/816) in the delayed group (P < 0.001). The 90-day mortality for all patients’ general was 28.4% (368/1297). This rate was 14.1% (68/481) in the non-delayed group and 36.8% (300/816) in the delayed group (P < 0.001). Conclusions: Prolonged stay in the ED before admission to the ICU is associated with worse consequences, and increased mortality.

Survival predictors after intubation in medical wards: A prospective study in 151 patients

INTRODUCTION

In health care systems in need of additional intensive care unit (ICU) beds, the decision to mechanically ventilate critically ill patients in Internal Medicine (IM) Department wards needs to balance patients' health outcomes, possible futility, and logistics. We aimed to examine the survival rates and predictors in these patients.

METHODS

We prospectively enrolled consecutive patients receiving mechanical ventilation during their care in the IM wards of a tertiary University hospital between April 2016 and December 2018. Primary outcome was 90-day mortality and secondary outcomes were in-hospital mortality and ICU transfer.

RESULTS

Our cohort consisted of 151 unique patient intubations, of whom 74 (49%) patients were transferred to ICU within a median of 0 days (range 0-7). Compared to patients who remained in the wards, patients transferred to ICU had lower in-hospital and 90-day mortality (65% vs. 97%, and 70% vs. 99%, respectively, p<0.001 for both). Amongst several possible predictors of survival in the ICU, sequential organ failure assessment (SOFA) score at the time of intubation had the best prognostic accuracy with an AUROC of 0.818 and 0.855 for in-hospital and 90-day mortality, respectively. A baseline SOFA score ≤8 had a 100% sensitivity for survival prediction in ICU. However, out of 26 patients with SOFA score ≤8 who remained in the wards, only one survived, whereas 19 patients with SOFA score >8 who were transferred to ICUs received futile care.

CONCLUSION

Mortality for patients receiving mechanical ventilation in IM wards is almost inevitable when ICU availability is lacking. Therefore, applying additional transfer criteria beyond the SOFA score is imperative.

U.K. Intensivists' Preferences for Patient Admission to ICU: Evidence From a Choice Experiment

Supplemental Digital Content is available in the text.

Deciding whether to admit a patient to the ICU requires considering several clinical and nonclinical factors. Studies have investigated factors associated with the decision but have not explored the relative importance of different factors, nor the interaction between factors on decision-making. We examined how ICU consultants prioritize specific factors when deciding whether to admit a patient to ICU.

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.

Implementing an intervention to improve decision making around referral and admission to intensive care: Results of feasibility testing in three NHS hospitals

RATIONALE, AIMS, AND OBJECTIVES

Decisions about whether to refer or admit a patient to an intensive care unit (ICU) are clinically, organizationally, and ethically challenging. Many explicit and implicit factors influence these decisions, and there is substantial variability in how they are made, leading to concerns about access to appropriate treatment for critically ill patients. There is currently no guidance to support doctors making these decisions. We developed an intervention with the aim of supporting doctors to make more transparent, consistent, patient-centred, and ethically justified decisions. This paper reports on the implementation of the intervention at three NHS hospitals in England and evaluates its feasibility in terms of usage, acceptability, and perceived impact on decision making.

METHODS

A mixed method study including quantitative assessment of usage and qualitative interviews.

RESULTS

There was moderate uptake of the framework (28.2% of referrals to ICU across all sites during the 3-month study period). Organizational structure and culture affected implementation. Concerns about increased workload in the context of limited resources were obstacles to its use. Doctors who used it reported a positive impact on decision making, with better articulation and communication of reasons for decisions, and greater attention to patient wishes. The intervention made explicit the uncertainty inherent in these decisions, and this was sometimes challenging. The patient and family information leaflets were not used.

CONCLUSIONS

While it is feasible to implement an intervention to improve decision making around referral and admission to ICU, embedding the intervention into existing organizational culture and practice would likely increase adoption. The doctor-facing elements of the intervention were generally acceptable and were perceived as making ICU decision making more transparent and patient-centred. While there remained difficulties in articulating the clinical reasoning behind some decisions, the intervention offers an important step towards establishing a more clinically and ethically sound approach to ICU admission.

Goldilocks, the Three Bears and Intensive Care Unit Utilization: Delivering Enough Intensive Care But Not Too Much. A Narrative Review

Professional societies have developed recommendations for patient triage protocols, but wide variations in triage patterns for many acute conditions exist among hospitals in the United States. Differences in hospitals’ triage patterns can be attributed to factors such as physician behavior, hospital policy and real-time conditions such as intensive care unit capacity. The patient safety concern is that patients evaluated for admission to the intensive care unit during times of high intensive care unit capacity may have adverse outcomes related to delays in care. Because standardization of a national triage policy is not feasible due to differing resources available at each hospital, local guidelines should prevail that take into account hospitals’ local resources. The goal would be to better match intensive care unit bed supply with demand.

Developing an intervention around referral and admissions to intensive care: a mixed-methods study

Background

Intensive care treatment can be life-saving, but it is invasive and distressing for patients receiving it and it is not always successful. Deciding whether or not a patient will benefit from intensive care is a difficult clinical and ethical challenge.

Objectives

To explore the decision-making process for referral and admission to the intensive care unit and to develop and test an intervention to improve it.

Methods

A mixed-methods study comprising (1) two systematic reviews investigating the factors associated with decisions to admit patients to the intensive care unit and the experiences of clinicians, patients and families; (2) observation of decisions and interviews with intensive care unit doctors, referring doctors, and patients and families in six NHS trusts in the Midlands, UK; (3) a choice experiment survey distributed to UK intensive care unit consultants and critical care outreach nurses, eliciting their preferences for factors used in decision-making for intensive care unit admission; (4) development of a decision-support intervention informed by the previous work streams, including an ethical framework for decision-making and supporting referral and decision-support forms and patient and family information leaflets. Implementation feasibility was tested in three NHS trusts; (5) development and testing of a tool to evaluate the ethical quality of decision-making related to intensive care unit admission, based on the assessment of patient records. The tool was tested for inter-rater and intersite reliability in 120 patient records.

Results

Influences on decision-making identified in the systematic review and ethnographic study included age, presence of chronic illness, functional status, presence of a do not attempt cardiopulmonary resuscitation order, referring specialty, referrer seniority and intensive care unit bed availability. Intensive care unit doctors used a gestalt assessment of the patient when making decisions. The choice experiment showed that age was the most important factor in consultants’ and critical care outreach nurses’ preferences for admission. The ethnographic study illuminated the complexity of the decision-making process, and the importance of interprofessional relationships and good communication between teams and with patients and families. Doctors found it difficult to articulate and balance the benefits and burdens of intensive care unit treatment for a patient. There was low uptake of the decision-support intervention, although doctors who used it noted that it improved articulation of reasons for decisions and communication with patients.

Limitations

Limitations existed in each of the component studies; for example, we had difficulty recruiting patients and families in our qualitative work. However, the project benefited from a mixed-method approach that mitigated the potential limitations of the component studies.

Conclusions

Decision-making surrounding referral and admission to the intensive care unit is complex. This study has provided evidence and resources to help clinicians and organisations aiming to improve the decision-making for and, ultimately, the care of critically ill patients.

Future work

Further research is needed into decision-making practices, particularly in how best to engage with patients and families during the decision process. The development and evaluation of training for clinicians involved in these decisions should be a priority for future work.

Study registration

The systematic reviews of this study are registered as PROSPERO CRD42016039054, CRD42015019711 and CRD42015019714.

Funding

The National Institute for Health Research Health Services and Delivery Research programme. The University of Aberdeen and the Chief Scientist Office of the Scottish Government Health and Social Care Directorates fund the Health Economics Research Unit.

Referral and admission to intensive care: A qualitative study of doctors' practices in a Tanzanian university hospital

BACKGROUND

Intensive care is care for critically ill patients with potentially reversible conditions. Patient selection for intensive care should be based on potential benefit but since demand exceeds availability, rationing is needed. In Tanzania, the availability of Intensive Care Units (ICUs) is very limited and the practices for selecting patients for intensive care are not known. The aim of this study was to explore doctors' experiences and perceptions of ICU referral and admission processes in a university hospital in Tanzania.

METHODS

We performed a qualitative study using semi-structured interviews with fifteen doctors involved in the recent care of critically ill patients in university hospital in Tanzania. Inductive conventional content analysis was applied for the analysis of interview notes to derive categories and sub-categories.

RESULTS

Two main categories were identified, (i) difficulties with the identification of critically ill patients in the wards and (ii) a lack of structured triaging to the ICU. A lack of critical care knowledge and communication barriers were described as preventing identification of critically ill patients. Triaging to the ICU was affected by a lack of guidelines for admission, diverging ideas about ICU indications and contraindications, the lack of bed capacity in the ICU and non-medical factors such as a fear of repercussions.

CONCLUSION

Critically ill patients may not be identified in general wards in a Tanzanian university hospital and the triaging process for the admission of patients to intensive care is convoluted and not explicit. The findings indicate a potential for improved patient selection that could optimize the use of scarce ICU resources, leading to better patient outcomes.

The emergency department length of stay: Is the time running out?

PURPOSE

To examine the relationships between emergency department length of stay (EDLOS) with hospital length of stay (HLOS) and clinical outcome in hemodynamically stable trauma patients.

METHODS

Prospective data collected for 2 years from consecutive trauma patients admitted to the trauma resuscitation bay. Only stable blunt trauma patients with appropriate trauma triage criteria requiring trauma team activation were included in the study. EDLOS was determined short if patient spent less than 2 h in the emergency department (ER) and long for more than 2 h.

RESULTS

A total of 248 patients were enrolled in the study. The mean total EDLOS was 125 min (range 78-180). Injury severity score (ISS) were significantly higher in the long EDLOS group (17 ± 13 versus 11 ± 9, p < 0.001). However, when leveled according to ISS, there were no differences in mean in diagnostic workup, admission rate to intensive care unit (ICU) or HLOS between the short and long EDLOS groups.

CONCLUSION

EDLOS is not a significant parameter for HLOS in stable trauma patients.

Impact of triage-to-admission time on patient outcome in European intensive care units: A prospective, multi-national study

PURPOSE

Ubiquitous bed shortages lead to delays in intensive care unit (ICU) admissions worldwide. Assessing the impact of delayed admission must account for illness severity. This study examined both the relationship between triage-to-admission time and 28-day mortality and the impact of controlling for Simplified Acute Physiology Score (SAPS) II scores on that relationship.

METHODS

Prospective cross-sectional analysis of referrals to eleven ICUs in seven European countries between 2003 and 2005. Outcomes among patients admitted within versus after 4 h were compared using a Chi-square test. Triage-to-admission time was also analyzed as a continuous variable; outcomes were assessed using a non-parametric Kruskal-Wallis test.

RESULTS

Among 3175 patients analyzed, triage-to-admission time was 2.1 ± 3.9 h. Patients admitted within 4 h had higher SAPS II scores (33.6 versus 30.6, Pearson correlation coefficient -0.07, p < 0.0001). 28-day mortality was surprisingly higher among patients admitted earlier (29.6 vs 25.2%, OR 1.25, 95% CI 0.99-1.58, p = 0.06). Even after adjusting for SAPS II scores, delayed admission was not associated with higher mortality (OR 1.08, CI 0.83-1.41, p = 0.58).

CONCLUSIONS

Even after accounting for quantifiable parameters of illness severity, delayed admission did not negatively impact outcome. Triage practices likely influence outcomes. Severity scores may not fully reflect illness acuity or trajectory.

Non-readmission decisions in the intensive care unit under French rules: A nationwide survey of practices

PURPOSE

We investigated, using a multicentre survey of practices in France, the practices of ICU physicians concerning the decision not to readmit to the ICU, in light of current legislation.

MATERIALS AND METHODS

Multicentre survey of practices among French ICU physicians via electronic questionnaire in January 2016. Questions related to respondents' practices regarding re-admission of patients to the ICU and how these decisions were made. Criteria were evaluated by the health care professionals as regards importance for non-readmission.

RESULTS

In total, 167 physicians agreed to participate, of whom 165 (99%) actually returned a completed questionnaire from 58 ICUs. Forty-five percent were aged <35 years, 74% were full-time physicians. The findings show that decisions for non-readmission are taken at the end of the patient's stay (87%), using a collegial decision-making procedure (89% of cases); 93% reported that this decision was noted in the patient's medical file. While 73% indicated that the family/relatives were informed of non-readmission decisions, only 29% reported informing the patient, and 91% considered that non-readmission decisions are an integral part of the French legislative framework.

CONCLUSION

This study shows that decisions not to re-admit a patient to the ICU need to be formally materialized, and anticipated by involving the patient and family in the discussions, as well as the other healthcare providers that usually care for the patient. The optimal time to undertake these conversations is likely best decided on a case-by-case basis according to each patient's individual characteristics.

Effect of Emergency Department and ICU Occupancy on Admission Decisions and Outcomes for Critically Ill Patients

OBJECTIVES

ICU admission delays can negatively affect patient outcomes, but emergency department volume and boarding times may also affect these decisions and associated patient outcomes. We sought to investigate the effect of emergency department and ICU capacity strain on ICU admission decisions and to examine the effect of emergency department boarding time of critically ill patients on in-hospital mortality.

DESIGN

A retrospective cohort study.

SETTING

Single academic tertiary care hospital.

PATIENTS

Adult critically ill emergency department patients for whom a consult for medical ICU admission was requested, over a 21-month period.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Patient data, including severity of illness (Mortality Probability Model III on Admission), outcomes of mortality and persistent organ dysfunction, and hourly census reports for the emergency department, for all ICUs and all adult wards were compiled. A total of 854 emergency department requests for ICU admission were logged, with 455 (53.3%) as "accept" and 399 (46.7%) as "deny" cases, with median emergency department boarding times 4.2 hours (interquartile range, 2.8-6.3 hr) and 11.7 hours (3.2-20.3 hr) and similar rates of persistent organ dysfunction and/or death 41.5% and 44.6%, respectively. Those accepted were younger (mean ± SD, 61 ± 17 vs 65 ± 18 yr) and more severely ill (median Mortality Probability Model III on Admission score, 15.3% [7.0-29.5%] vs 13.4% [6.3-25.2%]) than those denied admission. In the multivariable model, a full medical ICU was the only hospital-level factor significantly associated with a lower probability of ICU acceptance (odds ratio, 0.55 [95% CI, 0.37-0.81]). Using propensity score analysis to account for imbalances in baseline characteristics between those accepted or denied for ICU admission, longer emergency department boarding time after consult was associated with higher odds of mortality and persistent organ dysfunction (odds ratio, 1.77 [1.07-2.95]/log10 hour increase).

CONCLUSIONS

ICU admission decisions for critically ill emergency department patients are affected by medical ICU bed availability, though higher emergency department volume and other ICU occupancy did not play a role. Prolonged emergency department boarding times were associated with worse patient outcomes, suggesting a need for improved throughput and targeted care for patients awaiting ICU admission.

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.

The association of duration of boarding in the emergency room and the outcome of patients admitted to the intensive care unit

BACKGROUND

The demand for critical care beds is increasing out of proportion to bed availability. As a result, some critically ill patients are kept in the Emergency Department (ED boarding) awaiting bed availability. The aim of our study is to examine the impact of boarding in the ED on the outcome of patients admitted to the Intensive Care Unit(ICU).

METHODS

This was a retrospective analysis of ICU data collected prospectively at King Abdulaziz Medical City, Riyadh from ED between January 2010 and December 2012 and all patients admitted during this time were evaluated for their duration of boarding. Patients were stratified into three groups according to the duration of boarding from ED. Those admitted less than 6 h were classified as Group I, between 6 and 24 h, Group II and more than 24 h as Group III. We carried out multivariate analysis to examine the independent association of boarding time with the outcome adjusting for variables like age, sex, APACHE, Mechanical ventilation, Creatinine, Platelets, INR.

RESULTS

During the study period, 940 patients were admitted from the ED to ICU, amongst whom 227 (25%) were admitted to ICU within 6 h, 358 (39%) within 6-24 h and 355 (38%) after 24 h. Patients admitted to ICU within 6 h were younger [48.7 ± 22.2(group I) years, 50.6 ± 22.6 (group II), 58.2 ± 20.9 (group III) (P = 0.04)]with less mechanical ventilation duration[5.9 ± 8.9 days (Group I), 6.5 ± 8.1 (Group II) and 10.6 ± 10.5 (Group III), P = 0.04]. There was a significant increase in hospital mortality [51(22.5), 104(29.1), 132(37.2), P = 0.0006) and the ICU length of stay(LOS) [9.55 days (Group I), 9.8 (Group II) and 10.6 (Group III), (P = 0.002)] with increase in boarding duration. In addition, the delay in admission was an independent risk factor for ICU mortality(OR for group III vs group I is 1.90, P = 0.04) and hospital mortality(OR for group III vs Group I is 2.09, P = 0.007).

CONCLUSION

Boarding in the ED is associated with higher mortality. This data highlights the importance of this phenomenon and suggests the need for urgent measures to reduce boarding and to improve patient flow.

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.

Factors influencing intensive care admission: a mixed methods study of EM and ICU

OBJECTIVES

Twenty-six percent of ICU patients in the UK are referred directly from the Emergency Department (ED). There is limited literature examining the attitudes or practice of ED/ICU physicians towards referrals from the ED to the ICU. We examined these attitudes through a mixed methods study, designing a model incorporating these attitudes to promote a shared mental model between ED and ICU specialities.

METHODS

Individual semistructured interviews were conducted with 11 ED consultants and 11 ICU consultants at two hospitals in the west of Scotland. Interviews were based on 10 'case-based vignettes' representing patients for whom referral from the ED to the ICU is borderline or challenging. Participants were asked to note whether they would refer/accept the patient from the ED to the ICU. The proportions of participants from each speciality choosing to refer or accept patients were compared using a t-test comparing proportions. The reasons behind these decisions were explored during the semistructured interviews.

RESULTS

Twelve factors emerged as influencing the decisions made by the participants. These belonged three core themes: patient factors, clinician factors and resource factors, which were incorporated into a shared mental model. Two cases demonstrated statistically significant differences in referral rates between specialities. There were also clinically significant differences among other cases.

CONCLUSION

We have described the attitudes of physicians towards ED to ICU referrals in two west of Scotland hospitals, and we have demonstrated that there is a difference in the aspects of the decision-making process. We have developed a model encompassing all factors considered by participants when assessing these difficult referrals. It is hoped that this model will promote shared and more efficient decision-making in the future.

Intermediate care to intensive care triage: A quality improvement project to reduce mortality

PURPOSE

Medical patients whose care needs exceed what is feasible on a general ward, but who do not clearly require critical care, may be admitted to an intermediate care unit (IMCU). Some IMCU patients deteriorate and require medical intensive care unit (MICU) admission. In 2012, staff in the Johns Hopkins IMCU expressed concern that patient acuity and the threshold for MICU admission were too high. Further, shared triage decision-making between residents and supervising physicians did not consistently occur.

METHODS

To improve our triage process, we used a 4Es quality improvement framework (engage, educate, execute, evaluate) to (1) educate residents and fellows regarding principles of triage and (2) facilitate real-time communication between MICU residents conducting triage and supervising physicians.

RESULTS

Among patients transferred from the IMCU to the MICU during baseline (n=83;July-December 2012) and intervention phases (n=94;July-December 2013), unadjusted mortality decreased from 34% to 21% (p=0.06). After adjusting for severity of illness, admitting diagnosis, and bed availability, the odds of death were lower during the intervention vs. baseline phase (OR 0.33; 95%CI 0.11-0.98).

CONCLUSIONS

Using a structured quality improvement process targeting triage education and increased resident/supervisor communication, we demonstrated reduced mortality among patients transferred from the IMCU to the MICU.

Should We Pay Attention to the Delay Before Admission to a Pediatric Intensive Care Unit for Children With Cancer? Impact on 1-Month Mortality. A Report From the French Children's Oncology Study Group, GOCE

Acute complications requiring admission to pediatric intensive care unit (PICU) are frequent for children with cancer. Our objective was to determine early prognostic factors of mortality in a cohort of children with cancer hospitalized in PICU for acute complications and particularly to assess whether the delay before admission to a PICU is an early predictor of mortality. We conduct a retrospective multicenter analysis. All patients transferred in PICU for acute complications between January 2002 and December 2012 were included. One-month mortality of the 224 patients analyzed was 24.5%. Delay before PICU admission was a significant prognostic factor of 1-month mortality with nonsurvivors experiencing a longer median delay than survivors (24 vs. 12 h, respectively, P<0.05). Time from diagnosis to PICU admission (P<0.001), hematopoietic stem cell transplant (P<0.05), the duration of neutropenia (P<0.01), infection type (P<0.001), number of organ dysfunctions (P<0.001), and reaching any grade 4 toxicity before PICU admission (P<0.001) also affected mortality rate at 1-month post-PICU discharge. In the multivariate analysis, only reaching any grade 4 toxicity before PICU admission influenced 1-month mortality (odds ratio, 2.30; 95% confidence interval, 1.07-4.96; P<0.05). These results suggest that PICU admission before severe impairment leads to a better outcome for children with cancer.

Formal Academic Training on Ethics May Address Junior Physicians' Needs

BACKGROUND

Surveys have highlighted perceived deficiencies among ICU residents in end-of-life care, symptom control, and confidence in dealing with dying patients. Lack of formal training may contribute to the failure to meet the needs of dying patients and their families. The objective of this study was to evaluate junior intensivists' perceptions of triage and of the quality of the dying process before and after formal academic training.

METHODS

Formal training on ethics was implemented as a part of resident training between 2007 and 2012. A cross-sectional survey was performed before (2007) and after (2012) this implementation. This study included 430 junior intensivists who were interviewed during these periods.

RESULTS

More responders attended a dedicated training course on ethics and palliative care during 2012 (38.5%) than during 2007 (17.4%; P < .0001). During 2012, respondents reported less discomfort and fewer uncertainties regarding decisions about limiting life-sustaining treatment (17.7% vs 39.1% in 2007; P < .0001) or the triage process (48.5% vs 69.4% in 2007; P < .0001). Factors independently associated with positive perceptions of the dying process were physician's age (OR, 1.19 per year; 95% CI, 1.09-1.25) and male sex (OR, 1.61; 95% CI, 1.05-2.47). Conversely, anxiety about family members' reactions (OR, 0.58; 95% CI, 0.0.37-0.87) and lack of training (OR, 0.29; 95% CI, 0.17-0.50) were associated with negative perceptions of this process.

CONCLUSIONS

Formal training dedicated to ethics and palliative care was associated with a more comfortable perception of the dying process. This training may decrease the uncertainty and discomfort of junior intensivists in these situations.

Critical Care Prognosis and Outcomes in Patients with Cancer

Advances in cancer treatment and patient survival are associated with increasing number of these patients requiring intensive care. Over the last 2 decades, there has been a steady improvement in the outcomes of critically ill patients with cancer. This review provides data on the use of the intensive care unit (ICU) and short and long-term outcomes of critically ill patients with cancer, the ICU system practices that influence patients outcomes, and the role of the different clinical variables in predicting the prognosis of these patients.

Association between intensive care unit transfer delay and hospital mortality: A multicenter investigation

BACKGROUND

Previous research investigating the impact of delayed intensive care unit (ICU) transfer on outcomes has utilized subjective criteria for defining critical illness.

OBJECTIVE

To investigate the impact of delayed ICU transfer using the electronic Cardiac Arrest Risk Triage (eCART) score, a previously published early warning score, as an objective marker of critical illness.

DESIGN

Observational cohort study.

SETTING

Medical-surgical wards at 5 hospitals between November 2008 and January 2013.

PATIENTS

Ward patients.

INTERVENTION

None.

MEASUREMENTS

eCART scores were calculated for all patients. The threshold with a specificity of 95% for ICU transfer (eCART ≥ 60) denoted critical illness. A logistic regression model adjusting for age, sex, and surgical status was used to calculate the association between time to ICU transfer from first critical eCART value and in-hospital mortality.

RESULTS

A total of 3789 patients met the critical eCART threshold before ICU transfer, and the median time to ICU transfer was 5.4 hours. Delayed transfer (>6 hours) occurred in 46% of patients (n = 1734) and was associated with increased mortality compared to patients transferred early (33.2% vs 24.5%, P < 0.001). Each 1-hour increase in delay was associated with an adjusted 3% increase in odds of mortality (P < 0.001). In patients who survived to discharge, delayed transfer was associated with longer hospital length of stay (median 13 vs 11 days, P < 0.001).

CONCLUSIONS

Delayed ICU transfer is associated with increased hospital length of stay and mortality. Use of an evidence-based early warning score, such as eCART, could lead to timely ICU transfer and reduced preventable death. Journal of Hospital Medicine 2016;11:757-762. © 2016 Society of Hospital Medicine.

Outcome of mechanically ventilated patients initially denied admission to an intensive care unit and subsequently admitted

The outcome of mechanically ventilated patients initially denied admission to an intensive care unit (ICU) and subsequently admitted is unclear. We compared outcomes of patients denied ICU admission and subsequently admitted, to those of patients admitted to the ICU and to patients refused ICU admission. The medical records of all the patients who were subjected to mechanical ventilation for at least 24h over a 4year period (2010-2014) were reviewed. Of 707 patients (757 admissions), 124 (18%) were initially denied ICU admission and subsequently admitted. Multivariate stepwise logistic regression analysis showed significant association with death of: age, length of stay, nursing home residency, duration of mechanical ventilation, previous admission with mechanical ventilation, cause for mechanical ventilation, rate of failed extubations, associated morbidity (previous cerebrovascular accident, dementia, chronic renal failure), and occurrence of nosocomial bacteremia. The odds for death among patients denied ICU admission and subsequently transferred to the ICU compared to patients admitted directly to the ICU was 3.6 (95% CI: 1.9-6.7) (P<0.0001). The odds for death among patients refused ICU admission compared to those who were initially denied and subsequently admitted were not statistically significant (OR=1.7, 95% CI: 0.8-3.8). In conclusion, patients denied ICU admission and subsequently admitted face a considerable risk of morbidity and mortality. Their odds of death are nearly three times those admitted directly to the ICU. Late admission to the ICU does not appear to provide benefit compared to patients who remain in general medicine wards.

Telemedicine coverage for post-operative ICU patients

Introduction There is an increased demand for intensive care unit (ICU) beds. We sought to determine if we could create a safe surge capacity model to increase ICU capacity by treating ICU patients in the post-anaesthesia care unit (PACU) utilizing a collaborative model between an ICU service and a telemedicine service during peak ICU bed demand. Methods We evaluated patients managed by the surgical critical care service in the surgical intensive care unit (SICU) compared to patients managed in the virtual intensive care unit (VICU) located within the PACU. A retrospective review of all patients seen by the surgical critical care service from January 1st 2008 to July 31st 2011 was conducted at an urban, academic, tertiary centre and level 1 trauma centre. Results Compared to the SICU group ( n = 6652), patients in the VICU group ( n = 1037) were slightly older (median age 60 (IQR 47-69) versus 58 (IQR 44-70) years, p = 0.002) and had lower acute physiology and chronic health evaluation (APACHE) II scores (median 10 (IQR 7-14) versus 15 (IQR 11-21), p < 0.001). The average amount of time patients spent in the VICU was 13.7 + /-9.6 hours. In the VICU group, 750 (72%) of patients were able to be transferred directly to the floor; 287 (28%) required subsequent admission to the surgical intensive care unit. All patients in the VICU group were alive upon transfer out of the PACU while mortality in the surgical intensive unit cohort was 5.5%. Discussion A collaborative care model between a surgical critical care service and a telemedicine ICU service may safely provide surge capacity during peak periods of ICU bed demand. The specific patient populations for which this approach is most appropriate merits further investigation.

Cost effectiveness of intensive care in a low resource setting: A prospective cohort of medical critically ill patients

AIM: To calculate cost effectiveness of the treatment of critically ill patients in a medical intensive care unit (ICU) of a middle income country with limited access to ICU resources.

METHODS: A prospective cohort study and economic evaluation of consecutive patients treated in a recently established medical ICU in Sarajevo, Bosnia and Herzegovina. A cost utility analysis of the intensive care of critically ill patients compared to the hospital ward treatment from the perspective of the health care system was subsequently performed. Incremental cost effectiveness was calculated using estimates of ICU vs non-ICU treatment effectiveness based on a formal systematic review of published studies. Decision analytic modeling was used to compare treatment alternatives. Sensitivity analyses of the key model parameters were performed.

RESULTS: Out of 148 patients, seventy patients (47.2%) survived to one year after critical illness with a median quality of life index 0.64 [interquartile range(IQR) 0.49-0.76]. Median number of life years gained per patient was 30 (IQR 16-40) or 18 quality adjusted life years (QALYs) (IQR 7-28). The cost of treatment of critically ill patients varied between 1820 dollar and 20109 dollar per hospital survivor and between 100 dollar and 2514 dollar per QALY saved. Mean factors that influenced costs were: Age, diagnostic category, ICU and hospital length of stay and number and type of diagnostic and therapeutic interventions. The incremental cost effectiveness ratio for ICU treatment was estimated at 3254 dollar per QALY corresponding to 35% of per capita GDP or a Very Cost Effective category according to World Health Organization criteria.

CONCLUSION: The ICU treatment of critically ill medical patients in a resource poor country is cost effective and compares favorably with other medical interventions. Public health authorities in low and middle income countries should encourage development of critical care services.

Rationing in the intensive care unit in case of full bed occupancy: a survey among intensive care unit physicians

BACKGROUND

Internationally, there is no consensus on how to best deal with admission requests in cases of full ICU bed occupancy. Knowledge about the degree of dissension and insight into the reasons for this dissension is lacking. Information about the opinion of ICU physicians can be used to improve decision-making regarding allocation of ICU resources. The aim of this study was to: Assess which factors play a role in the decision-making process regarding the admission of ICU patients; Assess the adherence to a Dutch guideline pertaining to rationing of ICU resources; Investigate factors influencing the adherence to this guideline.

METHODS

In March 2013, an online questionnaire was sent to all ICU physician members (n = 761, in 90 hospitals) of the Dutch Society for Intensive Care.

RESULTS

166 physicians (21.8 %) working in 64 different Dutch hospitals (71.1 %) completed the questionnaire. Factors associated with a patient's physical condition and quality of life were generally considered most important in admission decisions. Scenario-based adherence to the Dutch guideline "Admission request in case of full ICU bed occupancy" was found to be low (adherence rate 50.0 %). There were two main reasons for this poor compliance: unfamiliarity with the guideline and disagreement with the fundamental approach underlying the guideline.

CONCLUSIONS

Dutch ICU physicians disagree about how to deal with admission requests in cases of full ICU bed occupancy. The results of this study contribute to the discussion about the fundamental principles regarding admission of ICU patients in case of full bed occupancy.

Treatment intensity and outcome of nonagenarians selected for admission in ICUs: a multicenter study of the Outcomerea Research Group

Background

Outcome of very elderly patients admitted in intensive care unit (ICU) was most often reported for octogenarians. ICU admission demands for nonagenarians are increasing. The primary objective was to compare outcome and intensity of treatment of octogenarians and nonagenarians.

Methods

We performed an observational study in 12 ICUs of the Outcomerea™ network which prospectively upload data into the Outcomerea™ database. Patients >90 years old (case patients) were matched with patients 80–90 years old (control patients). Matching criteria were severity of illness at admission, center, and year of admission.

Results

A total of 2419 patients aged 80 or older and admitted from September 1997 to September 2013 were included. Among them, 179 (7.9 %) were >90 years old. Matching was performed for 176 nonagenarian patients. Compared with control patients, case patients were more often hospitalized for unscheduled surgery [54 (30.7 %) vs. 42 (23.9 %), p < 0.01] and had less often arterial monitoring for blood pressure [37 (21 %) vs. 53 (30.1 %), p = 0.04] and renal replacement therapy [5 (2.8 %) vs. 14 (8 %), p = 0.05] than control patients. ICU [44 (25 %) vs. 36 (20.5 %), p = 0.28] or hospital mortality [70 (39.8 %) vs. 64 (36.4 %), p = 0.46] and limitation of life-sustaining therapies were not significantly different in case versus control patients, respectively. Only 16/176 (14 %) of case patients were transferred to a geriatric unit.

Conclusion

This multicenter study reported that nonagenarians represented a small fraction of ICU patients. When admitted, these highly selected patients received similar life-sustaining treatments, except RRT, than octogenarians. ICU and hospital mortality were similar between the two groups.

Electronic supplementary material

The online version of this article (doi:10.1186/s13613-016-0133-9) contains supplementary material, which is available to authorized users.