Intensive Care Unit Admission Decisions Research Articles

Hospital factors that influence ICU admission decision-making: a qualitative study of eight hospitals.

Some hospitals in the United States (US) use intensive care 20 times more than others. Since intensive care is lifesaving for some but potentially harmful for others, there is a need to understand factors that influence how intensive care unit (ICU) admission decisions are made. A qualitative analysis of eight US hospitals was conducted with semi-structured, one-on-one interviews supplemented by site visits and clinical observations. A total of 87 participants (24 nurses, 52 physicians, and 11 other staff) were interviewed, and 40h were spent observing ICU operations across the eight hospitals. Four hospital-level factors were identified that influenced ICU admission decision-making. First, availability of intermediate care led to reallocation of patients who might otherwise be sent to an ICU. Second, participants stressed the importance of ICU nurse availability as a key modifier of ICU capacity. Patients cared for by experienced general care physicians and nurses were less likely to receive ICU care. Third, smaller or rural hospitals opted for longer emergency department patient-stays over ICU admission to expedite interhospital transfer of critically ill patients. Fourth, lack of clarity in ICU admission policies led clinicians to feel pressured to use ICU care for patients who might otherwise not have received it. Health care systems should evaluate their use of ICU care and establish institutional patterns that ensure ICU admission decisions are patient-centered but also account for resources and constraints particular to each hospital.

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

ObjectiveFunctional 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. MethodsWe 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. ResultsThe 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). SignificancePreadmission 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.

Prognostic factors in acute poisoning with central nervous system xenobiotics: development of a nomogram predicting risk of intensive care unit admission.

Acute intoxication with central nervous system (CNS) xenobiotics is an increasing global problem. Predicting the prognosis of acute toxic exposure among patients can significantly alter the morbidity and mortality. The present study outlined the early risk predictors among patients diagnosed with acute exposure to CNS xenobiotics and endorsed bedside nomograms for identifying patients requiring intensive care unit (ICU) admission and those at risk of poor prognosis or death. This study is a 6-year retrospective cohort study conducted among patients presented with acute exposure to CNS xenobiotics. A total of 143 patients' records were included, where (36.4%) were admitted to the ICU, and a significant proportion of which was due to exposure to alcohols, sedative hypnotics, psychotropic, and antidepressants (P=0.021). ICU admission was associated with significantly lower blood pressure, pH, and HCO3 levels and higher random blood glucose (RBG), serum urea, and creatinine levels (P<0.05). The study findings indicate that the decision of ICU admission could be determined using a nomogram combining the initial HCO3 level, blood pH, modified PSS, and GCS. HCO3 level<17.1mEq/L, pH<7.2, moderate-to-severe PSS, and GCS<11 significantly predicted ICU admission. Moreover, high PSS and low HCO3 levels significantly predicted poor prognosis and mortality. Hyperglycemia was another significant predictor of mortality. Combining initial GCS, RBG level, and HCO3 is substantially helpful in predicting the need for ICU admission in acute alcohol intoxication. The proposed nomograms yielded significant straightforward and reliable prognostic outcomes predictors in acute exposure to CNS xenobiotics.

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

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. 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. 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. 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.

Quels malades peuvent et doivent aller en réanimation ?: Which patients can and should go to intensive care?

When a lung cancer patient develops an organ failure, the intensity of the care should be decided taking into account patient’s wishes and his plan of carekeeping, in mind that the objective of an intensive care unit (ICU) admission is to allow the patient to be discharged from ICU and hospital with an acceptable quality of life. But the physician in charge of the patient at the time of acute disease often does not have these information. It is therefore essential that the referring oncologist had an early discussion with the patient to inform him and collect his opinion. These information have to be noted in the patient’s medical chart. The prognostic criteria of lung cancer patients admitted in ICU are related to the patient’s characteristics, the cancer’s characteristics and the severity of acute disease. In order that a decision of ICU admission is in accordance with the patient’s therapeutic project, a close discussion between the oncologist and the intensivist is essential, especially in this period of SARS-CoV2 pandemy.© 2021 SPLF. Published by Elsevier Masson SAS. All rights reserved.

Assessment of mortality and performance status in critically ill cancer patients: A retrospective cohort study.

IntroductionGiven clinicians’ frequent concerns about unfavourable outcomes, Intensive Care Unit (ICU) triage decisions in acutely ill cancer patients can be difficult, as clinicians may have doubts about the appropriateness of an ICU admission. To aid to this decision making, we studied the survival and performance status of cancer patients 2 years following an unplanned ICU admission.Materials and methodsThis was a retrospective cohort study in a large tertiary referral university hospital in the Netherlands. We categorized all adult patients with an unplanned ICU admission in 2017 into two groups: patients with or without an active malignancy. Descriptive statistics, Pearson’s Chi-square tests and the Mann-Whitney U tests were used to evaluate the primary objective 2-year mortality and performance status. A good performance status was defined as ECOG performance status 0 (fully active) or 1 (restricted in physically strenuous activity but ambulatory and able to carry out light work). A multivariable binary logistic regression analysis was used to identify factors associated with 2-year mortality within cancer patients.ResultsOf the 1046 unplanned ICU admissions, 125 (12%) patients had cancer. The 2-year mortality in patients with cancer was significantly higher than in patients without cancer (72% and 42.5%, P <0.001). The median performance status at 2 years in cancer patients was 1 (IQR 0–2). Only an ECOG performance status of 2 (OR 8.94; 95% CI 1.21–65.89) was independently associated with 2-year mortality.ConclusionsIn our study, the majority of the survivors have a good performance status 2 years after ICU admission. However, at that point, three-quarter of these cancer patients had died, and mortality in cancer patients was significantly higher than in patients without cancer. ICU admission decisions in acutely ill cancer patients should be based on performance status, severity of illness and long-term prognosis, and this should be communicated in the shared decision making. An ICU admission decision should not solely be based on the presence of a malignancy.

Determination of the relationship between mortality and SOFA, qSOFA, MASCC scores in febrile neutropenic patients monitored in the intensive care unit.

PurposeFebrile neutropenia (FN) is a hematological emergency. It is challenging and confusing for the clinicians to make the decision of the febrile neutropenic patients under chemotherapy to be monitored at intensive care unit (ICU). The aim of this study was to define the factors supporting decision-making for the critical patients with febrile neutropenia.MethodsThe data of 60 patients, who were taken to the ICU while they were under treatment in the Hematology Clinic with a diagnosis of febrile neutropenia, were analyzed retrospectively, in order to identify clinically useful prognostic parameters.ResultsThe ICU mortality rate was 80%. Mortality was significantly associated with higher sequential organ failure assessment score (SOFA), quick sequential organ failure assessment score (qSOFA), and hematological SOFA (SOFAhem) scores on admission. All cases having SOFA score 10 and above and qSOFA score 2 and above died. In multivariate analysis, qSOFA score was found to be statistically significant in predicting mortality in regard to ICU admission (p = 0.004).ConclusionMortality of febrile neutropenic patients admitted to ICU is high. It would be appropriate to determine the extent of organ dysfunction instead of underlying disease, for making the decision of ICU admission. It should be noticed that the risk mortality is high for the FN cases with SOFA score 10 or above, qSOFA score 2 or above, and in need of mechanical ventilation and positive inotropic support; hence, early intervention is recommended. In our study, the most significant parameter in predicting ICU mortality was found to be qSOFA.

Impact of nonclinical factors on intensive care unit admission decisions: a vignette-based randomized trial (V-TRIAGE).

ObjectiveTo assess the impact of intensive care unit bed availability, distractors and choice framing on intensive care unit admission decisions.MethodsThis study was a randomized factorial trial using patient-based vignettes. The vignettes were deemed archetypical for intensive care unit admission or refusal, as judged by a group of experts. Intensive care unit physicians were randomized to 1) an increased distraction (intervention) or a control group, 2) an intensive care unit bed scarcity or nonscarcity (availability) setting, and 3) a multiple-choice or omission (status quo) vignette scenario. The primary outcome was the proportion of appropriate intensive care unit allocations, defined as concordance with the allocation decision made by the group of experts.ResultsWe analyzed 125 physicians. Overall, distractors had no impact on the outcome; however, there was a differential drop-out rate, with fewer physicians in the intervention arm completing the questionnaire. Intensive care unit bed availability was associated with an inappropriate allocation of vignettes deemed inappropriate for intensive care unit admission (OR = 2.47; 95%CI 1.19 - 5.11) but not of vignettes appropriate for intensive care unit admission. There was a significant interaction with the presence of distractors (p = 0.007), with intensive care unit bed availability being associated with increased intensive care unit admission of vignettes inappropriate for intensive care unit admission in the distractor (intervention) arm (OR = 9.82; 95%CI 2.68 - 25.93) but not in the control group (OR = 1.02; 95%CI 0.38 - 2.72). Multiple choices were associated with increased inappropriate allocation in comparison to the omission group (OR = 5.18; 95%CI 1.37 - 19.61).ConclusionIntensive care unit bed availability and cognitive biases were associated with inappropriate intensive care unit allocation decisions. These findings may have implications for intensive care unit admission policies.

Decision-making in the ICU: An analysis of the ICU admission decision-making process using a '20 Questions' approach.

Deciding to admit a patient into the intensive care unit (ICU) is a high-stakes, high-stress, time-sensitive process. Elucidating the complexities of these decisions can contribute to a more efficient, effective process. To explore physicians' strategic thought processes in ICU triage decisions and identify important factors. Practitioners (N=29) were asked to decide on ICU referrals of two hypothetic cases using a modified '20 Questions' approach. Demographic data, decisions when full information was available, feedback on questions, rating of factors previously identified as important and influence of faith and personality traits were explored. Of the 735 questions asked, 95.92% were patient related. There were no significant differences in interview variables between the two cases or with regard to presentation order. The overall acceptance rate was 68.96%. Refusals were associated with longer interview times (p=0.014), as were lower ICU bed capacity (p=0.036), advancing age of the practitioner (p=0.040) and a higher faith score (p=0.004). Faith score correlated positively with the number of questions asked (p=0.028). There were no significant correlations with personality trait stanines. When full information was available, acceptances for Case A decreased (p=0.003) but increased for Case B (p=0.026). The net reclassification improvement index was -0.138 (p=0.248). Non-subspecialists were more likely to change their decisions (p=0.036). Limiting information to what is considered vital by using a '20 Questions' approach and allowing the receiving practitioner to create the decision frame may assist with ICU admission decisions. Practitioners should consider the metacognitive elements of their decision-making. The study used a novel approach to explore physicians' decision-making process for admitting a patient to the intensive care unit (ICU). Understanding the main factors that influence the decision-making process will allow for streamlining the referral process, more effective selection of patients most likely to benefit from ICU treatment, and prevent inappropriate admissions into the ICU. The findings can also help to improve data capture tools and encourage practitioners to critically reflect on their decision-making processes.

A Cross-sectional Study of Hospital Performance on ICU Utilization Practices for Patients with Chronic Obstructive Pulmonary Disease.

Intensive care unit (ICU) resources are a costly but effective commodity used in the management of critically ill patients with chronic obstructive pulmonary disease (COPD). ICU admission decisions are determined by patient diagnosis and severity of illness, but also may be affected by hospital differences in quality and performance. We investigate the variability in ICU utilization for patients with COPD and its association with hospital characteristics. Using a 3M administrative dataset spanning 2008-2013, we conducted a retrospective cohort study of adult patients discharged with COPD at hospitals in three state to determine variability in ICU utilization. Quality metrics were calculated for each hospital using observed-to-expected (O/E) ratios for overall mortality and length of stay. Logistic and multilevel multivariate regression models were constructed, estimating the association between hospital quality metrics on ICU utilization, after adjustment for available clinical factors and hospital characteristics. In 434 hospitals with 570,517 COPD patient visits, overall ICU admission rate was 33.1% [range 0-89%; median (IQR) 24% (8, 54)]. The addition of patient, hospital, and quality characteristics decreased the overall variability attributable to individual hospital differences seen within our cohort from 40.9 to 33%. Odds of ICU utilization were increased for larger hospitals and those seeing lower pulmonary case volume. Hospitals with better overall O/E ratios for length of stay or mortality had lower ICU utilization. Hospital characteristics, including quality metrics, are associated with variability in ICU utilization for COPD patients, with higher ICU utilization seen for lower performing hospitals.

Triage and Ongoing Care for Critically Ill Patients in the Emergency Department: Results from a National Survey of Emergency Physicians.

IntroductionWe conducted a cross-sectional study at the Icahn School of Medicine at Mount Sinai to elicit emergency physician (EP) perceptions regarding intensive care unit (ICU) triage decisions and ongoing management for boarding of ICU patients in the emergency department (ED). We assessed factors influencing the disposition decision for critically ill patients in the ED to characterize EPs’ perceptions about ongoing critical care delivery in the ED while awaiting ICU admission.MethodsThrough content expert review and pilot testing, we iteratively developed a 25-item written survey targeted to EPs, eliciting current ICU triage structure, opinions on factors influencing ICU admission decisions, and views on caring for critically ill patients “boarding” in the ED for >4–6 hours.ResultsWe approached 732 EPs at a large, national emergency medicine conference, achieving 93.6% response and completion rate, with 54% academic and 46% community participants. One-fifth reported having formal ICU admission criteria, although only 36.6% reported adherence. Common factors influencing EPs’ ICU triage decisions were illness severity (91.1%), ICU interventions needed (87.6%), and diagnosis (68.2%), while ICU bed availability (13.5%) and presence of other critically ill patients in ED (10.2%) were less or not important. While 72.1% reported frequently caring for ICU boarders, respondents identified high patient volume (61.3%) and inadequate support staffing (48.6%) as the most common challenges in caring for boarding ICU patients.ConclusionPatient factors (eg, diagnosis, illness severity) were seen as more important than system factors (eg, bed availability) in triaging ED patients to the ICU. Boarding ICU patients is a common challenge for more than two-thirds of EPs, exacerbated by ED volume and staffing constraints.

The Critical Care Society of Southern Africa Consensus Statement on ICU Triage and Rationing (ConICTri).

In South Africa (SA), intensive care is faced with the challenge of resource scarcity as well as an increasing demand for intensive care unit (ICU) services. ICU services are expensive, and practitioners in low- to middle-income countries experience daily the consequences of limited resources. Critically limited resources necessitate that rationing and triage (prioritisation) decisions are frequently necessary in SA, particularly in the publicly funded health sector. The purpose of this consensus statement is to examine key questions that arise when considering the status of ICU resources in SA, and more specifically ICU admission, rationing and triage decisions. The accompanying guideline in this issue is intended to guide frontline triage policy and ensure the best utilisation of intensive care in SA, while maintaining a fair distribution of available resources. Fair and efficient triage is important to ensure the ongoing provision of high-quality care to adult patients referred for intensive care. In response to 14 key questions developed using a modified Delphi technique, 29 recommendations were formulated and graded using an adapted GRADE score. The 14 key questions addressed the status of the provision of ICU services in SA, the degree of resource restriction, the efficiency of resource management, the need for triage, and how triage could be most justly implemented. Important recommendations included the need to formally recognise and accurately quantify the provision of ICU services in SA by national audit; actively seek additional resources from governmental bodies; consider methods to maximise the efficiency of ICU care; evaluate lower level of care alternatives; develop a triage guideline to assist policy-makers and frontline practitioners to implement triage decisions in an efficient and fair way; measure and audit the consequence of triage; and promote research to improve the accuracy and consistency of triage decisions. The consensus document and guideline should be reviewed and revised appropriately within 5 years. In recognition of the absolute need to limit patient access to ICU because of the lack of sufficient intensive care resources in public hospitals, recommendations and a guideline have been developed to guide policy-making and assist frontline triage decision-making in SA. These documents are not a complete plan for quality practice but rather the beginning of a long-term initiative to engage clinicians, the public and administrators in appropriate triage decision-making, and promote systems that will ultimately maximise the efficient and fair use of available ICU resources.

Determinants and outcomes associated with decisions to deny intensive care unit admission in Tunisian ICU.

Introductionintensive care unit (ICU) beds are a scarce resource, and admissions may require prioritization when demand exceeds supply. However, there are few data regarding both outcomes of admitted patients to intensive care unit (ICU) in comparison with outcomes of not admitted patients. The aim of this study was to assess reasons and factors associated to refusal of admission to ICU as well as the impact on mortality at 28 days and patients' outcomes.MethodsSingle-center, cross-sectional descriptive study conducted in 8-bed Medical ICU at a Tunisian University hospital. All consecutive adult patients referred for admission to ICU during 6 months were included. We collected demographic data, ICU admission/refusal reasons, co-morbidity and diagnosis at time of admission, mortality probability model (MPMII0) score, day and time of admission, request for admission and mortality at 28 days.Results327 patients were evaluated for ICU admission and 260 were refused to ICU (79.5%). Patients refused because of unavailability of beds represented 50% and patients considered “too sick to benefit” represented 22%. Multivariate analysis showed that the presence of acute respiratory failure and request by direct contact in the unit were independently associated to admission to ICU (OR: 0.15; 95% CI: 0.07-0.31 and OR: 0.16; 95% CI: 0.08-0.31, respectively). Higher mortality rates were shown in patients “too sick to benefit” (80.7%) and unavailable beds (26.56%).ConclusionRefusal of ICU admission was correlated with the severity of acute illness, lack of ICU beds and reasons for admission request. ICU clinicians should evaluate their triage decisions and, if possible, routinely solicit patient preferences during medical emergencies, taking steps to ensure that ICU admission decisions are in line with the goals of the patient. Ultimately, these efforts will help ensure that scarce ICU resources are used most effectively and efficiently.

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.

Factors potentially associated with the decision of admission to the intensive care unit in a middle-income country: a survey of Brazilian physicians.

Objective To evaluate the factors potentially associated with the decision of admission to the intensive care unit in Brazil.Methods An electronic survey of Brazilian physicians working in intensive care units. Fourteen variables that were potentially associated with the decision of admission to the intensive care unit were rated as important (from 1 to 5) by the respondents and were later grouped as "patient-related," "scarcity-related" and "administrative-related" factors. The workplace and physician characteristics were evaluated for correlation with the factor ratings.Results During the study period, 125 physicians completed the survey. The scores on patient-related factors were rated higher on their potential to affect decisions than scarcity-related or administrative-related factors, with a mean ± SD of 3.42 ± 0.7, 2.75 ± 0.7 and 2.87 ± 0.7, respectively (p < 0.001). The patient's underlying illness prognosis was rated by 64.5% of the physicians as always or frequently affecting decisions, followed by acute illness prognosis (57%), number of intensive care unit beds available (56%) and patient's wishes (53%). After controlling for confounders, receiving specific training on intensive care unit triage was associated with higher ratings of the patient-related factors and scarcity-related factors, while working in a public intensive care unit (as opposed to a private intensive care unit) was associated with higher ratings of the scarcity-related factors.Conclusions Patient-related factors were more frequently rated as potentially affecting intensive care unit admission decisions than scarcity-related or administrative-related factors. Physician and workplace characteristics were associated with different factor ratings.

Intensive care outcomes in adult hematopoietic stem cell transplantation patients.

Although outcomes of intensive care for patients undergoing hematopoietic stem cell transplantation (HSCT) have improved in the last two decades, the short-term mortality still remains above 50% among allogeneic HSCT patients. Better selection of HSCT patients for intensive care, and consequently reduction of non-beneficial care, may reduce financial costs and alleviate patient suffering. We reviewed the studies on intensive care outcomes of patients undergoing HSCT published since 2000. The risk factors for intensive care unit (ICU) admission identified in this report were primarily patient and transplant related: HSCT type (autologous vs allogeneic), conditioning intensity, HLA mismatch, and graft-versus-host disease (GVHD). At the same time, most of the factors associated with ICU outcomes reported were related to the patients' functional status upon development of critical illness and interventions in ICU. Among the many possible interventions, the initiation of mechanical ventilation was the most consistently reported factor affecting ICU survival. As a consequence, our current ability to assess the benefit or futility of intensive care is limited. Until better ICU or hospital mortality prediction models are available, based on the available evidence, we recommend practitioners to base their ICU admission decisions on: Patient pre-transplant comorbidities, underlying disease status, GVHD diagnosis/grade, and patients' functional status at the time of critical illness.

Influence of ICU-bed availability on ICU admission decisions.

BackgroundThe 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.MethodsCharacteristics 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.ResultsOver 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.ConclusionsBed availability affected triage decisions. Units with HBA trend to admit patients too sick or too well to benefit.

Advance Care Planning Norms May Contribute to Hospital Variation in End-of-Life ICU Use

There is wide variation in end-of-life (EOL) intensive care unit (ICU) use among academic medical centers (AMCs). Our objective was to develop hypotheses regarding medical decision-making factors underlying this variation. This was a high-fidelity simulation experiment involving a critically and terminally ill elder, followed by a survey and debriefing cognitive interview and evaluated using triangulated quantitative-qualitative comparative analysis. The study was conducted in 2 AMCs in the same state and health care system with disparate EOL ICU use. Subjects were hospital-based physicians responsible for ICU admission decisions. Measurements included treatment plan, prognosis, diagnosis, qualitative case perceptions, and clinical reasoning. Sixty-seven of 111 (60%) eligible physicians agreed to participate; 48 (72%) could be scheduled. There were no significant between-AMC differences in 3-month prognosis or treatment plan, but there were systematic differences in perceptions of the case. Case perceptions at the low-intensity AMC seemed to be influenced by the absence of a do-not-resuscitate order in the context of norms of universal code status discussion and documentation upon admission, whereas case perceptions at the high-intensity AMC seemed to be influenced by the patient's known metastatic gastric cancer in the context of norms of oncologists' avoiding code status discussions. In this simulation study of 2 AMCs, hospital-based physicians had different perceptions of an identical case. We hypothesize that different advance care planning norms may have influenced their decision-making heuristics.

Guía multidisciplinar para la valoración pronóstica, diagnóstico y tratamiento de la neumonía adquirida en la comunidad

Community-acquired pneumonia (CAP) is an infectious respiratory disease with an incidence that ranges from 3 to 8 cases per 1,000 inhabitants per year. This incidence increases with age and comorbidities. Forty per cent of CAP patients require hospitalization and around 10% of these patients are admitted in an Intensive Care Unit (ICU). Several studies have suggested that the implementation of clinical guidelines has a positive impact in the outcome of patients including mortality and length of stay. The more recent and used guidelines are those from Infectious Diseases Society of America/American Thoracic Society, published in 2007, the 2009 from the British Thoracic Society, and that from the European Respiratory Society/European Society of Clinical Microbiology and Infectious Diseases, published in 2010. In Spain, the most recently released guideline is the Sociedad Española de Neumología y Cirugía Torácica-2011 guideline.The present guidelines GNAC are designed to be used by the majority of health-care professionals that can participate in the care of CAP patients including diagnosis, decision of hospital and ICU admission, treatment and prevention. The Centro Cochrane Iberoamericano (CCIB) has participated in summarizing the previous guidelines and in the bibliography search.For each one of the following sections the panel of experts has developed a table with recommendations classified according to its evidence, strength and practical applicability using the Grading of Recommendations of Assessment Development and Evaluations (GRADE) system:1.Epidemiology, microbiological etiology and antibiotic resistances.2.Clinical and microbiological diagnosis.3.Prognostic scales and decision of hospital admission.4.ICU admission criteria.5.Empirical and definitive antibiotic treatment.6.Treatment failure.7.Prevention.