Prospective evaluation of patients refused admission to an intensive care unit: triage, futility and outcome

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.

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.

Outcomes of nighttime refusal of admission to the intensive care unit: The role of the intensivist in triage

PURPOSE

To compare outcomes of patients refused medical intensive care unit (MICU) admission overnight to those refused during the day and to examine the impact of the intensivist in triage.

MATERIALS AND METHODS

Retrospective, observational study of patients refused MICU admission at an urban university hospital.

RESULTS

Of 294 patients, 186 (63.3%) were refused admission overnight compared to 108 (36.7%) refused during the day. Severity-of-illness by the Mortality Probability Model was similar between the two groups (P=.20). Daytime triage refusals were more likely to be staffed by an intensivist (P=.01). After risk-adjustment, daytime refusals had a lower odds of subsequent ICU admission (OR 0.46, 95% CI 0.22-0.95, P=.04) than patients triaged at night. There was no evidence for interaction between time of triage and intensivist staffing of the patient (P=.99).

CONCLUSIONS

Patients refused MICU admission overnight are more likely to be later admitted to an ICU than patients refused during the day. However, the mechanism for this observation does not appear to depend on the intensivist's direct evaluation of the patient. Further investigation into the clinician-specific effects of ICU triage and identification of potentially modifiable hospital triage practices will help to improve both ICU utilization and patient safety.

Trends in assisted ventilation and outcome for obstructive pulmonary disease exacerbations. A nationwide study

BACKGROUND

Non-invasive ventilation (NIV) has been used for decades in treatment of exacerbations of chronic obstructive pulmonary disease (COPD). The impact of the changing use of assisted ventilation in acute exacerbations on outcomes has not been fully elucidated and we aimed to describe these changes in the Danish population and describe their consequences for mortality.

METHODS

A register-based study was conducted of a cohort of 12,847 patients admitted for acute exacerbation of COPD (AECOPD) from 2004 through 2011, treated with invasive mechanical ventilation (IMV) or NIV for the first time. Age, sex, in-hospital mortality rates, time to death or readmission for AECOPD were established and changes over time tracked.

RESULTS

The number of admissions for AECOPD where assisted ventilation was used was 1,130 in 2004 and had increased by 145% in 2011. First time ventilations increased by 88%. This was mainly due to an increase in use of NIV accounting for 36% of the total number of assisted ventilations in 2004 and 67% in 2011. The number of IMV with or without NIV treatments remained constant. The mean age of NIV patients increased from 71.5 to 73.6 years, but remained constant at 70.0 years in IMV patients. Mortality rates both in hospital and after discharge for patients receiving NIV remained constant throughout the period. In-hospital mortality following IMV increased from 30% to 38%, but mortality after discharge remained stable.

CONCLUSION

Assisted ventilation has been increasingly used in a broader spectrum of AECOPD patients since the introduction of NIV. The changes in treatment strategies have been followed by shifts in in-hospital mortality rates following IMV.

Qualitative Analysis of Surveyed Emergency Responders and the Identified Factors That Affect First Stage of Primary Triage Decision-Making of Mass Casualty Incidents

Introduction: After all large-scale disasters multiple papers are published describing the shortcomings of the triage methods utilized. This paper uses medical provider input to help describe attributes and patient characteristics that impact triage decisions.

Methods: A survey distributed electronically to medical providers with and without disaster experience. Questions asked included what disaster experiences they had, and to rank six attributes in order of importance regarding triage.

Results: 403 unique completed surveys were analyzed. 92% practiced a structural triage approach with the rest reporting they used “gestalt”.(gut feeling) Twelve per cent were identified as having placed patients in an expectant category during triage. Respiratory status, ability to speak, perfusion/pulse were all ranked in the top three. Gut feeling regardless of statistical analysis was fourth. Supplies were ranked in the top four when analyzed for those who had placed patients in the expectant category.

Conclusion: Primary triage decisions in a mass casualty scenario are multifactorial and encompass patient mobility, life saving interventions, situational instincts, and logistics.

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.

Triage decisions for ICU admission: Report from the Task Force of the World Federation of Societies of Intensive and Critical Care Medicine

Demand for intensive care unit (ICU) resources often exceeds supply, and shortages of ICU beds and staff are likely to persist. Triage requires careful weighing of the benefits and risks involved in ICU admission while striving to guarantee fair distribution of available resources. We must ensure that the patients who occupy ICU beds are those most likely to benefit from the ICU's specialized technology and professionals. Although prognosticating is not an exact science, preference should be given to patients who are more likely to survive if admitted to the ICU but unlikely to survive or likely to have more significant morbidity if not admitted. To provide general guidance for intensivists in ICU triage decisions, a task force of the World Federation of Societies of Intensive and Critical Care Medicine addressed 4 basic questions regarding this process. The team made recommendations and concluded that triage should be led by intensivists considering input from nurses, emergency medicine professionals, hospitalists, surgeons, and allied professionals. Triage algorithms and protocols can be useful but can never supplant the role of skilled intensivists basing their decisions on input from multidisciplinary teams. Infrastructures need to be organized efficiently both within individual hospitals and at the regional level. When resources are critically limited, patients may be refused ICU admission if others may benefit more on the basis of the principle of distributive justice.

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.

The Perceived Likelihood of Outcome of Critical Care Patients and Its Impact on Triage Decisions: A Case-Based Survey of Intensivists and Internists in a Canadian, Quaternary Care Hospital Network

Introduction

There is high variability amongst physicians’ assessments of appropriate ICU admissions, which may be based on potential assessments of benefit. We aimed to examine whether opinions over benefit of ICU admissions of critically ill medical inpatients differed based on physician specialty, namely intensivists and internists.

Materials and Methods

We carried out an anonymous, web-based questionnaire survey containing 5 typical ICU cases to all ICU physicians regardless of their base specialty as well as to all internists in 3 large teaching hospitals. For each case, we asked the participants to determine if the patient was an appropriate ICU admission and to assess different parameters (e.g. baseline function, likelihood of survival to ICU discharge, etc.). Agreement was measured using kappa values.

Results

21 intensivists and 22 internists filled out the survey (response rate = 87.5% and 35% respectively). Predictions of likelihood of survival to ICU admission, hospital discharge and return to baseline were not significantly different between the two groups. However, agreement between individuals within each group was only slight to fair (kappa range = 0.09–0.22). There was no statistically significant difference in predicting ICU survival and prediction of survival to hospital discharge between both groups. The accuracy with which physicians predicted actual outcomes ranged between 35% and 100% and did not significantly differ between the two groups. A greater proportion of internists favoured non resuscitative measures (24.6% of intensivists and 46.9% internists [p = 0.002]).

Conclusion

In a case-based survey, physician specialty base did not affect assessments of ICU admission benefit or accuracy in outcome prediction, but resulted in a statistically significant difference in level of care assignments. Of note, significant disagreement amongst individuals in each group was found.

Rising Billing for Intermediate Intensive Care among Hospitalized Medicare Beneficiaries between 1996 and 2010

RATIONALE

Intermediate care (i.e., step-down or progressive care) is an alternative to the intensive care unit (ICU) for patients with moderate severity of illness. The adoption and current use of intermediate care is unknown.

OBJECTIVES

To characterize trends in intermediate care use among U.S. hospitals.

METHODS

We examined 135 million acute care hospitalizations among elderly individuals (≥65 yr) enrolled in fee-for-service Medicare (U.S. federal health insurance program) from 1996 to 2010. We identified patients receiving intermediate care as those with intensive care or coronary care room and board charges labeled intermediate ICU.

MEASUREMENTS AND MAIN RESULTS

In 1996, a total of 960 of the 3,425 hospitals providing critical care billed for intermediate care (28%), and this increased to 1,643 of 2,783 hospitals (59%) in 2010 (P < 0.01). Only 8.2% of Medicare hospitalizations in 1996 were billed for intermediate care, but billing steadily increased to 22.8% by 2010 (P < 0.01), whereas the percentage billed for ICU care and ward-only care declined. Patients billed for intermediate care had more acute organ failures diagnoses codes compared with general ward patients (22.4% vs. 15.8%). When compared with patients billed for ICU care, those billed for intermediate care had fewer organ failures (22.4% vs. 43.4%), less mechanical ventilation (0.9% vs. 16.7%), lower mean Medicare spending ($8,514 vs. $18,150), and lower 30-day mortality (5.6% vs. 16.5%) (P < 0.01 for all comparisons).

CONCLUSIONS

Intermediate care billing increased markedly between 1996 and 2010. These findings highlight the need to better define the value, specific practices, and effective use of intermediate care for patients and hospitals.

One-Year Outcome of Geriatric Hip-Fracture Patients following Prolonged ICU Treatment

Purpose. Incidence of geriatric fractures is increasing. Knowledge of outcome data for hip-fracture patients undergoing intensive-care unit (ICU) treatment, including invasive ventilatory management (IVM) and hemodiafiltration (CVVHDF), is sparse. Methods. Single-center prospective observational study including 402 geriatric hip-fracture patients. Age, gender, the American Society of Anesthesiologists (ASA) classification, and the Barthel index (BI) were documented. Underlying reasons for prolonged ICU stay were registered, as well as assessed procedures like IVM and CVVHDF. Outcome parameters were in-hospital, 6-month, and 1-year mortality and need for nursing care. Results. 15% were treated > 3 days and 68% < 3 days in ICU. Both cohorts had similar ASA, BI, and age. In-hospital, 6-month, and 12-month mortality of ICU > 3d cohort were significantly increased (p = 0.001). Most frequent indications were cardiocirculatory pathology followed by respiratory failure, renal impairment, and infection. 18% of patients needed CVVHDF and 41% IVM. In these cohorts, 6-month mortality ranged > 80% and 12-month mortality > 90%. 100% needed nursing care after 6 and 12 months. Conclusions. ICU treatment > 3 days showed considerable difference in mortality and nursing care needed after 6 and 12 months. Particularly, patients requiring CVVHDF or IVM had disastrous long-term results. Our study may add one further element in complex decision making serving this vulnerable patient cohort.

Influence of ICU-bed availability on ICU admission decisions

BACKGROUND

The potential influence of bed availability on triage to intensive care unit (ICU) admission is among the factors that may influence the ideal ratio of ICU beds to population: thus, high bed availability (HBA) may result in the admission of patients too well or too sick to benefit, whereas bed scarcity may result in refusal of patients likely to benefit from ICU admission.

METHODS

Characteristics and outcomes of patient admitted in four ICUs with usual HBA, defined by admission refusal rate less than 11 % because of bed unavailability, were compared to patients admitted in six ICUs with usual low bed availability (LBA), i.e., an admission refusal rate higher than 10 % during a 90-day period.

RESULTS

Over the 90 days, the mean number of days with no bed available was 30 ± 16 in HBA units versus 48 ± 21 in LBA units (p < 0.01). The proportion of admitted patients was significantly higher in the HBA (80.1 %; n = 659/823) than in the LBA units [61.6 %: n = 480/779; (p < 0.0001)]. The proportion of patients deemed too sick to benefit from admission was higher in LBA (9.0 %; n = 70) than in the HBA (6.3 %; n = 52) units (p < 0.05). The HBA group had a significantly greater proportion of patients younger than 40 years of age (22.5 %; n = 148 versus 14 %; n = 67 in LBA group; p < 0.001) and higher proportions of patients with either high or low simplified acute physiologic score II values.

CONCLUSIONS

Bed availability affected triage decisions. Units with HBA trend to admit patients too sick or too well to benefit.

Triage practices in stroke units: Physicians' perceptions and ethical issues

OBJECTIVE

We aimed to explore acute stroke admission decisions and to discuss ethical issues in triage practices in stroke units (SUs) in France.

METHODS

In this study, 337 questionnaires were sent to physicians involved in acute admission to SUs in Île-de-France (neurologists and physicians from emergency medical services). The questionnaires comprised questions about physicians' perceptions of the reasonable allocation of SU beds and admission criteria for patients in SU in clinical vignettes illustrating complex situations.

RESULTS

In total, 162 questionnaires were fully completed. There were some discrepancies in perceptions and reporting practices between emergency physicians and neurologists concerning patient admission criteria. Triage choices were more frequently declared by emergency physicians than by neurologists and were related to the difficulty of obtaining a positive response for the admission of certain complex patients (particularly those with comorbidities).

CONCLUSIONS

Despite recommendations stating that all patients with stroke should be admitted to SUs, this study has shown that triage practices exist in stroke admission decisions. The triage depends on the role and perceptions of each physician in acute stroke management. These decisions suggest reflections on the applicability of distributive justice theories and on ethical issues in triage practices in medicine.

Trends in the incidence of intensive care unit invasive mechanical ventilation and subsequent 2-year survival in very elderly New Zealanders

BACKGROUND

The number of elderly in the general population is growing. There are therefore implications for the provision of intensive care unit (ICU) care to elderly patients.

AIM

Our aim was to determine the incidence of ICU invasive mechanical ventilation (IMV), long-term outcomes of patients treated with IMV, and trends in these variables over a 10-year period in New Zealand, with a focus on very elderly patients (aged 80 years and over).

METHODS

Analysis of New Zealand public hospital discharge data from July 1999 to June 2010, with linked long-term mortality data. Transfers or readmissions to different hospitals were linked using a national unique patient identifier.

RESULTS

There were 58 003 patients treated with IMV in a New Zealand ICU. Of these patients, 6.6% were very elderly. Population rates of ICU IMV declined or were static over all age groups. The 2-year mortality rate ranged from 15% in patients aged 16-39 years to 52% in the very elderly. The 2-year mortality rates for the very elderly were highest for acute medical patients (78%), followed by acute surgical admissions (46%) and elective admissions (35%). The 2-year mortality rate for all patients declined over the study period, and declined or was static for all age groups and admission types. In the very elderly, the standardised mortality ratio of patients surviving at 1 year who survived their second year after admission, compared with the age-matched general population, was lower than all other age groups.

CONCLUSION

For very elderly patients over the period 1999-2009, the population rate of IMV was static and 2-year mortality declined.

Hospital end-of-life treatment intensity among cancer and non-cancer cohorts

CONTEXT

Hospitals vary substantially in their end-of-life (EOL) treatment intensity. It is unknown if patterns of EOL treatment intensity are consistent across conditions.

OBJECTIVES

To explore the relationship between hospitals' cancer- and non-cancer-specific EOL treatment intensity.

METHODS

We conducted a retrospective cohort analysis of Pennsylvania acute care hospital admissions for either cancer or congestive heart failure (CHF) and/or chronic obstructive pulmonary disease (COPD) between 2001 and 2007, linked to vital statistics through 2008. We calculated Bayes's shrunken case-mix standardized (observed-to-expected) ratios of intensive care and life-sustaining treatment use among two EOL cohorts: those prospectively identified at high probability of dying on admission and those retrospectively identified as terminal admissions (decedents). We then summed these to create a hospital-specific prospective and retrospective overall EOL treatment intensity index for cancer vs. CHF/COPD.

RESULTS

The sample included 207,523 admissions with 15% or greater predicted probability of dying on admission among 172,041 unique adults and 120,372 terminal admissions at 166 hospitals; these two cohorts overlapped by 52,986 admissions. There was substantial variation between hospitals in their standardized EOL treatment intensity ratios among cancer and CHF/COPD admissions. Within hospitals, cancer- and CHF/COPD-specific standardized EOL treatment intensity ratios were highly correlated for intensive care unit (ICU) admission (prospective ρ = 0.81; retrospective ρ = 0.78), ICU lengths of stay (ρ = 0.76; 0.64), mechanical ventilation (ρ = 0.73; 0.73), and hemodialysis (ρ = 0.60; 0.71) and less highly correlated for tracheostomy (ρ = 0.43; 0.53) and gastrostomy (ρ = 0.29; 0.30). Hospitals' overall EOL intensity index for cancer and CHF admissions were correlated (prospective ρ = 0.75; retrospective ρ = 0.75) and had equal group means (P-value = 0.631; 0.699).

CONCLUSION

Despite substantial difference between hospitals in EOL treatment intensity, within-hospital homogeneity in EOL treatment intensity for cancer- and non-cancer populations suggests the existence of condition-insensitive institutional norms of EOL treatment.

Triage: care of the critically ill and injured during pandemics and disasters: CHEST consensus statement

BACKGROUND

Pandemics and disasters can result in large numbers of critically ill or injured patients who may overwhelm available resources despite implementing surge-response strategies. If this occurs, critical care triage, which includes both prioritizing patients for care and rationing scarce resources, will be required. The suggestions in this chapter are important for all who are involved in large-scale pandemics or disasters with multiple critically ill or injured patients, including front-line clinicians, hospital administrators, and public health or government officials.

METHODS

The Triage topic panel reviewed previous task force suggestions and the literature to identify 17 key questions for which specific literature searches were then conducted to identify studies upon which evidence-based recommendations could be made. No studies of sufficient quality were identified. Therefore, the panel developed expert opinion-based suggestions using a modified Delphi process. Suggestions from the previous task force that were not being updated were also included for validation by the expert panel.

RESULTS

The suggestions from the task force outline the key principles upon which critical care triage should be based as well as a path for the development of the plans, processes, and infrastructure required. This article provides 11 suggestions regarding the principles upon which critical care triage should be based and policies to guide critical care triage.

CONCLUSIONS

Ethical and efficient critical care triage is a complex process that requires significant planning and preparation. At present, the prognostic tools required to produce an effective decision support system (triage protocol) as well as the infrastructure, processes, legal protections, and training are largely lacking in most jurisdictions. Therefore, critical care triage should be a last resort after mass critical care surge strategies.

Admissions of critically ill patients to the ED intensive care unit

INTRODUCTION

Many emergency departments (EDs) have established units capable of providing critical care because of increasing need for critical care, called as ED intensive care unit (EDICU). However, prolonged critical care leads to crowding, resulting in poor quality of care and high mortality rates. We aimed to determine which type of critically ill patients play a main role for crowding in the EDICU, and how to manage these patients.

METHOD

Patients aged older than 18 years who presented to the ED and presented for consultation to the ICU were eligible for inclusion in this study. Patients were classified into 4 priority groups by the Society of Critical Care Medicine.

RESULT

Four hundred medical patients were enrolled in the study. Sixty-one patients were not admitted to hospital (15.2% of all patients) and were treated in the EDICU. These patients were older (mean age, 66.6 years) and had a higher percentage belonging to the priority 3 group (82.0%-unstable with reduced likelihood of recovery due to chronic illness) in comparison with other ICUs patients (mean age, 60.4 years and 11.9%, respectively) (P < .05). In priority 3 patients, the length of stay was median 120 hours, and also, length of invasive mechanical ventilations duration was median 19 hours in the EDICU.

CONCLUSIONS

Emergency department intensive care unit occupancy appears driven by categorized as "reduced benefit" patients, and these units tend to become alternative dumping grounds for palliative care services. Hospitals and health care administrators should take special care to develop policies for improving the management of these patients.

A model for decision making for intensive care unit admission in source limited hospitals

BACKGROUND

Demand for ICU beds is exceeding its supply. Since the sources are limited in some centers, it is necessary to design a model to identify the patients who benefit more from ICU beds.

OBJECTIVES

The present study aimed to develop a model to prioritize adult patients according to their clinical indications by a three rounded Delphi method study.

PATIENTS AND METHODS

In this study, 22 physicians who practiced in a source limited hospital in southern Iran were invited to participate in a three phase Delphi survey.

RESULTS

At first, the panelists recommended 30 indications. The indications in the first checklist plus those obtained by literature review formed the second checklist which contained 36 items. The items were scored from 0 to 10 by the panelists. According to the scores, the indications were categorized into three priority levels, which were confirmed by the panelists in the third round.

CONCLUSIONS

This simple checklist contains the indications for ICU admission categorized into three priority levels. This checklist can be considered as a guide for physicians who practice in hospitals with limited number of ICU beds.

The Cost of Inappropriate Care at the End of life: Implications for an Aging Population

Elderly patients patients (older than 65 years) account for only 11% of the US population yet they account for 34% of health care expenditure. The disproportionate usage of health care costs by elderly patients is in striking contrast with that of other Western Nations. It is likely that these differences are largely due to variances in hospitalization and the use of high technology health care resources at the end of life. The United States has 8 times as many intensive care unit (ICU) beds per capita when compared to other Western Nations. In the United States, elderly patients currently account for 42% to 52% of ICU admissions and for almost 60% of all ICU days. A disproportionate number of these ICU days are spent by elderly patients before their death. In many instances, aggressive life supportive measures serve only to prolong the patient's death. Such treatment inflicts pain and suffering on the patient (with little prospects of gain) and incurs enormous financial costs to the health care system. We present the case of an 86-year-old female who spent almost 3 months in our ICU prior to her death. The fully allocated hospital costs for this patient were estimated to be US$254 945 (US$5100/d). With the increasing age of the population and the projected increased demand for ICU beds, we review the benefits and burdens of admitting elderly patients to the ICU.

Pediatric intensive care in South Africa: an account of making optimum use of limited resources at the Red Cross War Memorial Children's Hospital*

OBJECTIVE

To develop explicit criteria for patient admission in order to optimize utilization of PICU facilities in the face of increasing demand outstripping resources.

SETTING

Multidisciplinary PICU in a university-affiliated referral hospital in Cape Town, South Africa.

DESIGN

Retrospective description of policy development and implementation

PATIENTS

All patients referred to the Paediatric Intensive Care Unit of the Red Cross War Memorial Children's Hospital.

INTERVENTIONS

Development and application of admission policy.

MEASUREMENTS AND MAIN RESULTS

In consultation with clinicians at the hospital, principles for utilization of PICU resources were established and then translated into specific policies for prioritization of admission of particular groups of patients. The hospital team developed and implemented: criteria for intensive care admission; prioritization for certain categories of patients (including those scheduled for elective surgery); processes for refusing intensive care admission to other categories of patients; and processes to review implementation. These criteria and procedures were made explicit to clinicians, administrators, and managers and eventually agreed to by them. It was challenging to obtain "buy-in" from all potential stakeholders in the process and also to implement such policies under conditions of high stress.

CONCLUSION

Development and implementation of explicit policies for utilization of PICU resources provide a "reasonable" process for fair and equitable utilization of scarce resources. The factors that have to be considered while developing these policies may extend beyond the priorities of individual patients. Implementation is still fraught with problems. Development of explicit admission policies that consider the needs of individual patients and also the longer term development of healthcare services may enable the retention of small but essential services.

Characteristics and outcomes of elderly patients refused to ICU

BACKGROUND

There are few data regarding the process of deciding which elderly patients are refused to ICU admission, their characteristics, and outcome.

METHODS

Prospective longitudinal observational cohort study. We included all consecutive patients older than 75 years, who were evaluated for admission to but were refused to treatment in ICU, during 18 months, with 12-month followup. We collected demographic data, ICU admission/refusal reasons, previous functional and cognitive status, comorbidity, severity of illness, and hospital and 12-month mortality.

RESULTS

338 elderly patients were evaluated for ICU admission and 88 were refused to ICU (26%). Patients refused because they were "too ill to benefit" had more comorbidity and worse functional and mental situation than those admitted to ICU; there were no differences in illness severity. Hospital mortality rate of the whole study cohort was 36.3%, higher in patients "too ill to benefit" (55.6% versus 35.8%, P < 0.01), which also have higher 1-year mortality (73.7% versus 42.5%, P < 0.01). High comorbidity, low functional status, unavailable ICU beds, and age were associated with refusal decision on multivariate analysis.

CONCLUSIONS

Prior functional status and comorbidity, not only the age or severity of illness, can help us more to make the right decision of admitting or refusing to ICU patients older than 75 years.

Triage of intensive care patients: identifying agreement and controversy

RATIONALE

Intensive care unit (ICU) resources are limited in many hospitals. Patients with little likelihood of surviving are often admitted to ICUs. Others who might benefit from ICU are not admitted.

OBJECTIVE

To provide an updated consensus statement on the principles and recommendations for the triage of patients for ICU beds.

DESIGN

The previous Society of Critical Care Medicine (SCCM) consensus statement was used to develop drafts of general and specific principles and recommendations. Investigators and consultants were sent the statements and responded with their agreement or disagreement.

SETTING

The Eldicus project (triage decision making for the elderly in European intensive care units).

PARTICIPANTS

Eldicus investigators, consultants, and experts consisting of intensivists, users of ICU services, ethicists, administrators, and public policy officials.

INTERVENTIONS

Consensus development was used to grade the statements and recommendations.

MEASUREMENTS AND MAIN RESULTS

Consensus was defined as 80% agreement or more. Consensus was obtained for 54 (87%) of 62 statements including all (19) general principles, 31 (86%) of the specific principles, and 10 (71%) of the recommendations. Inconsistencies in responses were noted for ICU admission and discharge. Despite agreement for guidelines applying to individual patients and an objective triage score, there was no agreement for a survival cutoff for triage, not even for a chance of survival of 0.1%.

CONCLUSIONS

Consensus was reached for most general and specific ICU triage principles and recommendations. Further debate and discussion should help resolve the remaining discrepancies.

Factors influencing triage decisions in patients referred for ICU admission

Background

Few data is available on triage of critically ill patients. Because the demand for ICU beds often exceeds their availability, frequently intensivists need to triage these patients in order to equally and efficiently distribute the available resources based on the concept of potential benefit and reasonable chance of recovery. The objective of this study is to evaluate factors influencing triage decisions among patients referred for ICU admission and to assess its impact in outcome.

Methods

A single-center, prospective, observational study of 165 consecutive triage evaluations was conducted in patients referred for ICU admission that were either accepted, or refused and treated on the medical or surgical wards as well as the step-down and telemetry units.

Results

Seventy-one patients (43.0%) were accepted for ICU admission. Mean Acute Physiology and Chronic Health Evaluation (APACHE)-II score was 15.3 (0 - 36) and 13.9 (0 - 30) for accepted and refused patients, respectively. Three patients (4.2%) had active advance directives on admission to ICU. Age, gender, and number of ICU beds available at the time of evaluation were not associated with triage decisions. Thirteen patients (18.3%) died in ICU, while the in-hospital mortality for refused patients was 12.8%.

Conclusion

Refusal of admission to ICU is common, although patients in which ICU admission is granted have higher mortality. Presence of active advance directives seems to play an important role in the triage decision process. Further efforts are needed to define which patients are most likely to benefit from ICU admission. Triage protocols or guidelines to promote efficient critical care beds use are warranted.

The ETHICA study (part II): simulation study of determinants and variability of ICU physician decisions in patients aged 80 or over

PURPOSE

To assess physician decisions about ICU admission for life-sustaining treatments (LSTs).

METHODS

Observational simulation study of physician decisions for patients aged ≥80 years. Each patient was allocated at random to four physicians who made decisions based on actual bed availability and existence of an additional bed before and after obtaining information on patient preferences. The simulations involved non-invasive ventilation (NIV), invasive mechanical ventilation (IMV), and renal replacement therapy after a period of IMV (RRT after IMV).

RESULTS

The physician participation rate was 100/217 (46 %); males without religious beliefs predominated, and median ICU experience was 9 years. Among participants, 85.7, 78, and 62 % felt that NIV, IMV, or RRT (after IMV) was warranted, respectively. By logistic regression analysis, factors associated with admission were age <85 years, self-sufficiency, and bed availability for NIV and IMV. Factors associated with IMV were previous ICU stay (OR 0.29, 95 % CI 0.13-0.65, p = 0.01) and cancer (OR 0.23, 95 % CI 0.10-0.52, p = 0.003), and factors associated with RRT (after IMV) were living spouse (OR 2.03, 95 % CI 1.04-3.97, p = 0.038) and respiratory disease (OR 0.42, 95 % CI 0.23-0.76, p = 0.004). Agreement among physicians was low for all LSTs. Knowledge of patient preferences changed physician decisions for 39.9, 56, and 57 % of patients who disagreed with the initial physician decisions for NIV, IMV, and RRT (after IMV) respectively. An additional bed increased admissions for NIV and IMV by 38.6 and 13.6 %, respectively.

CONCLUSIONS

Physician decisions for elderly patients had low agreement and varied greatly with bed availability and knowledge of patient preferences.

Hospital-level variation in the use of intensive care

OBJECTIVE

To determine the extent to which hospitals vary in the use of intensive care, and the proportion of variation attributable to differences in hospital practice that is independent of known patient and hospital factors.

DATA SOURCE

Hospital discharge data in the State Inpatient Database for Maryland and Washington States in 2006.

STUDY DESIGN

Cross-sectional analysis of 90 short-term, acute care hospitals with critical care capabilities. DATA COLLECTION/METHODS: We quantified the proportion of variation in intensive care use attributable to hospitals using intraclass correlation coefficients derived from mixed-effects logistic regression models after successive adjustment for known patient and hospital factors.

PRINCIPAL FINDINGS

The proportion of hospitalized patients admitted to an intensive care unit (ICU) across hospitals ranged from 3 to 55 percent (median 12 percent; IQR: 9, 17 percent). After adjustment for patient factors, 19.7 percent (95 percent CI: 15.1, 24.4) of total variation in ICU use across hospitals was attributable to hospitals. When observed hospital characteristics were added, the proportion of total variation in intensive care use attributable to unmeasured hospital factors decreased by 26-14.6 percent (95 percent CI: 11, 18.3 percent).

CONCLUSIONS

Wide variability exists in the use of intensive care across hospitals, not attributable to known patient or hospital factors, and may be a target to improve efficiency and quality of critical care.

Variability of intensive care admission decisions for the very elderly

Although increasing numbers of very elderly patients are requiring intensive care, few large sample studies have investigated ICU admission of very elderly patients. Data on pre triage by physicians from other specialities is limited. This observational cohort study aims at examining inter-hospital variability of ICU admission rates and its association with patients' outcomes. All patients over 80 years possibly qualifying for ICU admission who presented to the emergency departments (ED) of 15 hospitals in the Paris (France) area during a one-year period were prospectively included in the study. Main outcome measures were ICU eligibility, as assessed by the ED and ICU physicians; in-hospital mortality; and vital and functional status 6 months after the ED visit. 2646 patients (median age 86; interquartile range 83–91) were included in the study. 94% of participants completed follow-up (n = 2495). 12.4% (n = 329) of participants were deemed eligible for ICU admission by ED physicians and intensivists. The overall in-hospital and 6-month mortality rates were respectively 27.2% (n = 717) and 50.7% (n = 1264). At six months, 57.5% (n = 1433) of patients had died or had a functional deterioration. Rates of patients deemed eligible for ICU admission ranged from 5.6% to 38.8% across the participating centers, and this variability persisted after adjustment for patients' characteristics. Despite this variability, we found no association between level of ICU eligibility and either in-hospital death or six-month death or functional deterioration. In France, the likelihood that a very elderly person will be admitted to an ICU varies widely from one hospital to another. Influence of intensive care admission on patients' outcome remains unclear.

Determinants and outcomes associated with decisions to deny or to delay intensive care unit admission in Morocco

PURPOSE

To report determinants and outcomes associated with decisions to deny or to delay intensive care unit (ICU) admission in critically ill patients.

METHODS

An observational prospective study over a 6-month period. All adult patients triaged for admission to a medical ICU were included prospectively. Age, gender, reasons for requesting ICU admission, severity of underlying disease, severity of acute illness, mortality and ICU characteristics were recorded. Multinomial logistic regression analysis was used for evaluating predicting factors of refused ICU admission.

RESULTS

ICU admission was requested for 398 patients: 110 were immediately admitted (27.8%), 142 were never admitted (35.6%), and 146 were admitted at a later time (36.6%). The reasons for refusal were: too sick to benefit (31, 10.8%), too well to benefit (55, 19.1%), unit full (117, 40.6%), and more data about the patient were needed to make a decision (85, 29.5%). Multivariate analysis revealed that late ICU admission was associated with the lack of available ICU beds (OR 1.91; 95% CI 1.46-2.50; p = 0.003), cardiac disease (OR 7.77; 95% CI 2.41-25.04; p < 0.001), neurological disease (OR 3.78; 95% CI 1.40-10.26; p = 0.009), shock and sepsis (OR 2.55; 95% CI 1.06-6.13; p = 0.03), and metabolic disease (OR 2.84; 95% CI 1.11-7.30; p = 0.02). Factors for ICU refusal for never admitted patients were: severity of acute illness (OR 4.83; 95% CI 1.11-21.01; p = 0.03), cardiac disease (OR 14.26; 95% CI 3.95-51.44; p < 0.001), neurological disease (OR 4.05; 95% CI 1.33-12.28; p = 0.01) and lack of available ICU beds (OR 6.26; 95% CI 4.14-9.46; p < 0.001). Hospital mortality was 33.3% (37/110) for immediately admitted patients, 43.8% (64/146) for patients admitted later and 49.3% (70/142) for never admitted patients.

CONCLUSION

Refusal of ICU admission was correlated with the severity of acute illness, lack of ICU beds and reasons for admission request. Further efforts are needed to define which patients are most likely to benefit from ICU admission and to improve the accuracy of data on ICU refusal rates.

Point-of-care testing during medical emergency team activations: a pilot study

OBJECTIVE

To estimate the prognostic value of point-of-care measurement of biomarkers related to dyspnea in patients receiving a medical emergency team (MET) review.

DESIGN

Prospective observational study.

SETTING

University affiliated hospital.

PATIENTS

Cohort of 95 patients receiving MET review over a six month period.

METHODS

We used a commercial multi-biomarker panel for shortness-of-breath (SOB panel) (Biosite Triage Profiler, Biosite Incorporated®), 9975 Summers Ridge Road, San Diego, CA 92121, USA) including Brain natriuretic peptide (BNP), D-dimer, myoglobin (Myo), creatine kinase MB isoenzyme (CK-MB) and troponin I (Tn-I). We recorded information about demographics, MET review triggers, and MET procedures and patient outcome.

RESULTS

Mean age was 70.5 (±15) years, 38 (41%) patients had a history of chronic heart failure (CHF) and 67 (70%) chronic kidney disease (CKD). At MET activation, 42 (44%) patients were dyspneic. The multi-biomarker panel was positive for at least one marker in 48 (51%) cases. BNP and D-dimer had a sensitivity of 0.79 and 0.93 for ICU admission with a negative predictive value (NPV) of 0.89 and 0.92 respectively. Thirty-five (37%) patients died. BNP was positive in 85% of such cases with sensitivity and NPV of 0.86 and 0.82, respectively. D-dimer was positive in 77% of non-survivors with a sensitivity and NPV of 0.94 and 0.88, respectively. BNP (area under the curve of receiver operating characteristic curve--AUC-ROC: 0.638) and D-dimer (AUC-ROC: 0.574) achieved poor discrimination of subsequent death. Similar findings applied to ICU admission. The combination of normal BNP and D-dimer levels completely ruled out ICU admission or death. The cardiac part of the panel was not useful in predicting ICU admission or mortality.

CONCLUSIONS

Although, BNP and D-dimer are poor discriminants of ICU admission and hospital mortality, normal BNP and D-dimer levels practically exclude subsequent need for ICU admission and hospital mortality.

Refusal of intensive care unit admission due to a full unit: impact on mortality

RATIONALE

Intensive care unit (ICU) beds are a scarce resource, and patients denied intensive care only because the unit is full may be at increased risk of death.

OBJECTIVE

To compare mortality after first ICU referral in admitted patients and in patients denied admission because the unit was full.

METHODS

Prospective observational multicenter cohort study of consecutive patients referred for ICU admission during two 45-day periods, conducted in 10 ICUs.

MEASUREMENTS AND MAIN RESULTS

Of 1,762 patients, 430 were excluded from the study, 116 with previously denied admission to another ICU and 270 because they were deemed too sick or too well to benefit from ICU admission. Of the remaining 1,332 patients, 1,139 were admitted, and 193 were denied admission because the unit was full (65 were never admitted, 39 were admitted after bumping of another patient, and 89 were admitted on subsequent referral). Crude Day 28 and Day 60 mortality rates in the nonadmitted and admitted groups were 30.1 versus 24.3% (P = 0.07) and 33.3 versus 27.2% (P = 0.06), respectively. Day 28 mortality adjusted on age, previous disease, Glasgow scale score less than or equal to 8, shock, creatinine level greater than or equal to 250 μmol/L, and prothrombin time greater than or equal to 30 seconds was nonsignificantly higher in patients refused ICU admission only because of a full unit compared with patients admitted immediately. Patients admitted after subsequent referral had higher mortality rates on Day 28 (P = 0.05) and Day 60 (P = 0.04) compared with directly admitted patients.

CONCLUSIONS

Delayed ICU admission due to a full unit at first referral is associated with increased mortality.

Severe sepsis and septic shock in the elderly: An overview

The incidence of severe sepsis and septic shock is increasing in the older population leading to increased admissions to the intensive care units (ICUs). The elderly are predisposed to sepsis due to co-existing co-morbidities, repeated and prolonged hospitalizations, reduced immunity, functional limitations and above all due to the effects of aging itself. A lower threshold and a higher index of suspicion is required to diagnose sepsis in this patient population because the initial clinical picture may be ambiguous, and aging increases the risk of a sudden deterioration in sepsis to severe sepsis and septic shock. Management is largely based on standard international guidelines with a few modifications. Age itself is an independent risk factor for death in patients with severe sepsis, however, many patients respond well to timely and appropriate interventions. The treatment should not be limited or deferred in elderly patients with severe sepsis only on the grounds of physician prejudice, but patient and family preferences should also be taken into account as the outcomes are not dismal. Future investigations in the management of sepsis should not only target good functional recovery but also ensure social independence and quality of life after ICU discharge.

Severe sepsis and septic shock in the elderly: An overview

The incidence of severe sepsis and septic shock is increasing in the older population leading to increased admissions to the intensive care units (ICUs). The elderly are predisposed to sepsis due to co-existing co-morbidities, repeated and prolonged hospitalizations, reduced immunity, functional limitations and above all due to the effects of aging itself. A lower threshold and a higher index of suspicion is required to diagnose sepsis in this patient population because the initial clinical picture may be ambiguous, and aging increases the risk of a sudden deterioration in sepsis to severe sepsis and septic shock. Management is largely based on standard international guidelines with a few modifications. Age itself is an independent risk factor for death in patients with severe sepsis, however, many patients respond well to timely and appropriate interventions. The treatment should not be limited or deferred in elderly patients with severe sepsis only on the grounds of physician prejudice, but patient and family preferences should also be taken into account as the outcomes are not dismal. Future investigations in the management of sepsis should not only target good functional recovery but also ensure social independence and quality of life after ICU discharge.

Observational study of admission and triage decisions for patients referred to a regional intensive care unit

The objectives of this study were to identify factors associated with decisions concerning triage and admission to the intensive care unit and to describe the outcome of patients referred to intensive care unit for admission. The study was a single-centre, prospective, observational study. It was performed in the general intensive care unit of a tertiary regional hospital, over the period of February to June 2009. The patients were non-elective, acute medical in-patients. For 100 patients referred, only 36 were admitted to the intensive care unit. The remaining 64 were declined admission: nine were declined admission because they were assessed as too sick to benefit, 41 were declined admission because they were assessed as too well to benefit and 14 were deemed to potentially benefit from intensive care unit admission but were not admitted ('triage'). Patients most likely to receive triage decisions were medical in-patients who had expressed wishes about end-of-life care, who were functionally limited with co-morbid conditions affecting their performance status. Patients referred by Resident Medical Officers were also more likely to receive a triage decision. Age, gender Aboriginal and Torres Strait Islander status, diagnostic category and reason for referral did not impact on admission or triage decisions. Bed status in intensive care unit at the time of referral affected neither admission nor triage decisions. Hospital mortality in patients deemed too well to benefit from intensive care unit was 7.3%, suggesting that all patients referred for consideration of admission to intensive care unit should be classified as 'high risk'.

Comparison of medical admissions to intensive care units in the United States and United Kingdom

RATIONALE

The United States has seven times as many intensive care unit (ICU) beds per capita as the United Kingdom; the effect on care of critically ill patients is unknown.

OBJECTIVES

To compare medical ICU admissions in the United States and United Kingdom.

METHODS

Retrospective (2002-2004) cohort study of 172,785 ICU admissions (137 United States ICUs, Project IMPACT database; 160 United Kingdom ICUs, Case Mix Program) with patients followed until initial hospital discharge.

MEASUREMENT AND MAIN RESULTS

United Kingdom (vs. United States) admissions were less likely to be admitted directly from the emergency room (ER) (33.4% vs. 58%); had longer hospital stays before ICU admission (mean days 2.6 ± 8.2 vs. 1 ± 3.6); and fewer were greater than or equal to 85 years (3.2% vs. 7.8%). United Kingdom patients were more frequently mechanically ventilated within 24 hours after ICU admission (68% vs. 27.4%); were sicker (mean Acute Physiology Score 16.7 ± 7.6 vs. 10.6 ± 6.8); and had higher primary hospital mortality (38% vs. 15.9%; adjusted odds ratio, 1.73; 95% confidence interval, 1.50-1.99). There was no mortality difference for mechanically ventilated patients admitted from the ER (adjusted odds ratio, 1.09; 95% confidence interval, 0.89-1.33). Comparisons of hospital mortality were confounded by differences in case mix; hospital length of stay (United Kingdom median 10 d [interquartile range {IQR}, 3-24] vs. United States 6 d [IQR, 3-11]; and discharge practices (more United States patients were discharged to skilled care facilities [29% of survivors vs. 6% in the United Kingdom]).

CONCLUSIONS

Lower United Kingdom ICU bed availability is associated with fewer direct admissions from the ER, longer hospital stays before ICU admission, and higher severity of illness. Interpretation of between-country hospital outcomes is confounded by differences in case mix, processes of care, and discharge practices.

[Impact of the premature discharge on hospital mortality after a stay in an intensive care unit]

OBJECTIVE

To determine the frequency and to evaluate the relationship between premature discharge and post-ICU hospital mortality.

DESIGN

A prospective registry was made for patients admitted during six consecutive years, performing a retrospective analysis of the data on the first admission of ICU survivors.

SETTING

A 10-bed general ICU in a 540-bed tertiary-care community hospital.

PATIENTS

1,521 patients with an ICU stay longer than 12 hours, discharged alive to wards with known hospital outcome.

INTERVENTIONS

None.

MAIN VARIABLES

We recorded the patient data, including types of ICU discharge, normal or premature, and studying their relationship with post-ICU hospital mortality. The types of ICU discharge were also evaluated versus ICU readmission rate and post-ICU length of stay.

RESULTS

There were 165 patients (10.8%) with premature discharge. Mortality rate was 11.6% (176 patients). The factors related with mortality were withdrawal and limitation of life-sustaining treatments (OR=14.02 [4.6-42.6]), readmissions to ICU (OR=3.46 [1.76-6.78]), premature discharge (OR=2.6 [1.06-4.41]), higher organ failure score on discharge from the ICU (OR=1.16 [1.01-1.32]) and age (OR=1.03 [1.01-1.05]). Readmission rates and post-ICU length of stay were similar among patients with premature and normal discharge (7.3% vs. 8.2%, P=.68 and 16.7±16.7 days vs. 18.7±21.3 days, respectively, P=.162).

CONCLUSIONS

Premature discharges appear to be common in our setting and have a significant impact on mortality. Types of ICU discharge do not seem to be related with other outcome variables in the hospital care of critically ill patients.

Implications of ICU triage decisions on patient mortality: a cost-effectiveness analysis

Introduction

Intensive care is generally regarded as expensive, and as a result beds are limited. This has raised serious questions about rationing when there are insufficient beds for all those referred. However, the evidence for the cost effectiveness of intensive care is weak and the work that does exist usually assumes that those who are not admitted do not survive, which is not always the case. Randomised studies of the effectiveness of intensive care are difficult to justify on ethical grounds; therefore, this observational study examined the cost effectiveness of ICU admission by comparing patients who were accepted into ICU after ICU triage to those who were not accepted, while attempting to adjust such comparison for confounding factors.

Methods

This multi-centre observational cohort study involved 11 hospitals in 7 EU countries and was designed to assess the cost effectiveness of admission to intensive care after ICU triage. A total of 7,659 consecutive patients referred to the intensive care unit (ICU) were divided into those accepted for admission and those not accepted. The two groups were compared in terms of cost and mortality using multilevel regression models to account for differences across centres, and after adjusting for age, Karnofsky score and indication for ICU admission. The analyses were also stratified by categories of Simplified Acute Physiology Score (SAPS) II predicted mortality (< 5%, 5% to 40% and >40%). Cost effectiveness was evaluated as cost per life saved and cost per life-year saved.

Results

Admission to ICU produced a relative reduction in mortality risk, expressed as odds ratio, of 0.70 (0.52 to 0.94) at 28 days. When stratified by predicted mortality, the odds ratio was 1.49 (0.79 to 2.81), 0.7 (0.51 to 0.97) and 0.55 (0.37 to 0.83) for <5%, 5% to 40% and >40% predicted mortality, respectively. Average cost per life saved for all patients was $103,771 (€82,358) and cost per life-year saved was $7,065 (€5,607). These figures decreased substantially for patients with predicted mortality higher than 40%, $60,046 (€47,656) and $4,088 (€3,244), respectively. Results were very similar when considering three-month mortality. Sensitivity analyses performed to assess the robustness of the results provided findings similar to the main analyses.

Conclusions

Not only does ICU appear to produce an improvement in survival, but the cost per life saved falls for patients with greater severity of illness. This suggests that intensive care is similarly cost effective to other therapies that are generally regarded as essential.