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Triage and Ongoing Care for Critically Ill Patients in the Emergency Department: Results from a National Survey of Emergency Physicians
Introduction: We 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 EPsâ perceptions about ongoing critical care delivery in the ED while awaiting ICU admission.Methods: Through 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 âboardingâ in the ED for >4-6 hours.Results: We 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 EPsâ 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.Conclusion: Patient 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
Mortality of Patients with Hematological Malignancy after Admission to the Intensive Care Unit
Background: The admission of patients with malignancies to an intensive care unit (ICU) still remains a matter of substantial controversy. The identification of factors that potentially influence the patient outcome can help ICU professionals make appropriate decisions. Patients and Methods: 90 adult patients with hematological malignancy (leukemia 47.8%, high-grade lymphoma 50%) admitted to the ICU were analyzed retrospectively in this single-center study considering numerous variables with regard to their influence on ICU and day-100 mortality. Results: The median simplified acute physiology score (SAPS) II at ICU admission was 55 (ICU survivors 47 vs. 60.5 for non-survivors). The overall ICU mortality rate was 45.6%. With multivariate regression analysis, patients admitted with sepsis and acute respiratory failure had a significantly increased ICU mortality (sepsis odds ratio (OR) 9.12, 95% confidence interval (CI) 1.1-99.7, p = 0.04; respiratory failure OR 13.72, 95% CI 1.39-136.15, p = 0.025). Additional factors associated with an increased mortality were: high doses of catecholamines (ICU: OR 7.37, p = 0.005; day 100: hazard ratio (HR) 2.96, p < 0.0001), renal replacement therapy (day 100: HR 1.93, p = 0.026), and high SAPS II (ICU: HR 1.05, p = 0.038; day 100: HR 1.2, p = 0.027). Conclusion: The decision for or against ICU admission of patients with hematological diseases should become increasingly independent of the underlying malignant disease
Role of the microbiome, probiotics, and 'dysbiosis therapy' in critical illness.
Purpose of reviewLoss of 'health-promoting' microbes and overgrowth of pathogenic bacteria (dysbiosis) in ICU is believed to contribute to nosocomial infections, sepsis, and organ failure (multiple organ dysfunction syndrome). This review discusses new understanding of ICU dysbiosis, new data for probiotics and fecal transplantation in ICU, and new data characterizing the ICU microbiome.Recent findingsICU dysbiosis results from many factors, including ubiquitous antibiotic use and overuse. Despite advances in antibiotic therapy, infections and mortality from often multidrug-resistant organisms (i.e., Clostridium difficile) are increasing. This raises the question of whether restoration of a healthy microbiome via probiotics or other 'dysbiosis therapies' would be an optimal alternative, or parallel treatment option, to antibiotics. Recent clinical data demonstrate probiotics can reduce ICU infections and probiotics or fecal microbial transplant (FMT) can treat Clostridium difficile. This contributes to recommendations that probiotics should be considered to prevent infection in ICU. Unfortunately, significant clinical variability limits the strength of current recommendations and further large clinical trials of probiotics and FMT are needed. Before larger trials of 'dysbiosis therapy' can be thoughtfully undertaken, further characterization of ICU dysbiosis is needed. To addressing this, we conducted an initial analysis demonstrating a rapid and marked change from a 'healthy' microbiome to an often pathogen-dominant microbiota (dysbiosis) in a broad ICU population.SummaryA growing body of evidence suggests critical illness and ubiquitous antibiotic use leads to ICU dysbiosis that is associated with increased ICU infection, sepsis, and multiple organ dysfunction syndrome. Probiotics and FMT show promise as ICU therapies for infection. We hope future-targeted therapies using microbiome signatures can be developed to correct 'illness-promoting' dysbiosis to restore a healthy microbiome post-ICU to improve patient outcomes
Benchmarking Intensive Care Physiotherapy Staffing in Australian Tertiary Hospitals
Physiotherapy is an important component in the management of patients in the Intensive Care Unit (ICU). Existing guidelines on ICU physiotherapy staffing represent European settings and are not contemporary. With no specific recommendations in Australia, medical and nursing staffing guidelines reflected the need to have designated physiotherapy services available and accessible 24 hours a day in ICU. Therefore, this study aimed to pinpoint a guideline for ICU physiotherapy staff allocation by examining the current physiotherapy staff levels in ICU of Australian tertiary hospitals and comparing it with staff levels desired by senior physiotherapy leaders
A novel computerized test for detecting and monitoring visual attentional deficits and delirium in the ICU
Objectives: Delirium in the ICU is associated with poor outcomes
but is under-detected. Here we evaluated performance of a novel,
graded test for objectively detecting inattention in delirium, implemented
on a custom-built computerized device (Edinburgh Delirium
Test BoxâICU).
Design: A pilot study was conducted, followed by a prospective
case-control study.
Setting: Royal Infirmary of Edinburgh General ICU.
Patients: A pilot study was conducted in an opportunistic sample
of 20 patients. This was followed by a validation study in
30 selected patients with and without delirium (median age,
63 yr; range, 23â84) who were assessed with the Edinburgh
Delirium Test BoxâICU on up to 5 separate days. Presence
of delirium was assessed using the Confusion Assessment
Method for the ICU.
Measurements and Main Results: The Edinburgh Delirium Test
BoxâICU involves a behavioral assessment and a computerized
test of attention, requiring patients to count slowly presented
lights. Thirty patients were assessed a total of 79 times (n = 31, 23,
15, 8, and 2 for subsequent assessments; 38% delirious). Edinburgh
Delirium Test BoxâICU scores (range, 0â11) were lower
for patients with delirium than those without at the first (median, 0
vs 9.5), second (median, 3.5 vs 9), and third (median, 0 vs 10.5)
assessments (all p < 0.001). An Edinburgh Delirium Test BoxâICU
score less than or equal to 5 was 100% sensitive and 92% specific
to delirium across assessments. Longitudinally, participantsâ
Edinburgh Delirium Test BoxâICU performance was associated
with delirium status.
Conclusions: These findings suggest that the Edinburgh Delirium
Test BoxâICU has diagnostic utility in detecting ICU delirium
in patients with Richmond Agitation and Sedation Scale Score
greater than â3. The Edinburgh Delirium Test BoxâICU has potential
additional value in longitudinally tracking attentional deficits
because it provides a range of scores and is sensitive to change
Extreme Dysbiosis of the Microbiome in Critical Illness.
Critical illness is hypothesized to associate with loss of "health-promoting" commensal microbes and overgrowth of pathogenic bacteria (dysbiosis). This dysbiosis is believed to increase susceptibility to nosocomial infections, sepsis, and organ failure. A trial with prospective monitoring of the intensive care unit (ICU) patient microbiome using culture-independent techniques to confirm and characterize this dysbiosis is thus urgently needed. Characterizing ICU patient microbiome changes may provide first steps toward the development of diagnostic and therapeutic interventions using microbiome signatures. To characterize the ICU patient microbiome, we collected fecal, oral, and skin samples from 115 mixed ICU patients across four centers in the United States and Canada. Samples were collected at two time points: within 48Â h of ICU admission, and at ICU discharge or on ICU day 10. Sample collection and processing were performed according to Earth Microbiome Project protocols. We applied SourceTracker to assess the source composition of ICU patient samples by using Qiita, including samples from the American Gut Project (AGP), mammalian corpse decomposition samples, childhood (Global Gut study), and house surfaces. Our results demonstrate that critical illness leads to significant and rapid dysbiosis. Many taxons significantly depleted from ICU patients versus AGP healthy controls are key "health-promoting" organisms, and overgrowth of known pathogens was frequent. Source compositions of ICU patient samples are largely uncharacteristic of the expected community type. Between time points and within a patient, the source composition changed dramatically. Our initial results show great promise for microbiome signatures as diagnostic markers and guides to therapeutic interventions in the ICU to repopulate the normal, "health-promoting" microbiome and thereby improve patient outcomes. IMPORTANCE Critical illness may be associated with the loss of normal, "health promoting" bacteria, allowing overgrowth of disease-promoting pathogenic bacteria (dysbiosis), which, in turn, makes patients susceptible to hospital-acquired infections, sepsis, and organ failure. This has significant world health implications, because sepsis is becoming a leading cause of death worldwide, and hospital-acquired infections contribute to significant illness and increased costs. Thus, a trial that monitors the ICU patient microbiome to confirm and characterize this hypothesis is urgently needed. Our study analyzed the microbiomes of 115 critically ill subjects and demonstrated rapid dysbiosis from unexpected environmental sources after ICU admission. These data may provide the first steps toward defining targeted therapies that correct potentially "illness-promoting" dysbiosis with probiotics or with targeted, multimicrobe synthetic "stool pills" that restore a healthy microbiome in the ICU setting to improve patient outcomes
Prevention of ICU Delirium Through Implementation of a Sleep Promotion Bundle
Background: Intensive care unit (ICU) delirium is the prevalence of delirium in ICU patientswho do not have a history of drug/alcohol abuse, an admission for a mental status change, or anadmission to the ICU for less than 24 hours. Serious adverse outcomes have been linked to thepresence of ICU delirium resulting in overall longer hospital lengths of stay, longer duration ofmechanical ventilation, higher rates of mortality, and long-term neuropsychological deficits afterdischarge. At the site of this quality improvement project, the prevalence of ICU delirium was92.3% in a population determined to be high risk using the PRE-DELIRIC screening tool. Aim: The aim of this quality improvement project was to decrease the prevalence rate of ICUdelirium ICU through the implementation of a sleep-wake cycle bundle. Methods: The process began with screening new admissions within twenty-four hours ofadmission to determine whether intervention is needed. Intervention ended at their dischargefrom the unit, death, or the designation of âcomfort measures only (CMO)â by the physician. The site of this quality improvement project was a surgical/trauma ICU in a large urban teachinghospital. ICU delirium prevalence rates were determined through a retrospective chart reviewover a period of thirty days. Using the PDSA framework, new admissions to the ICU werescreened using the PRE-DELIRIC model over a period of 30 days to determine their percent riskof developing delirium. Patients with a score of greater than 40% were enrolled in the projectand had a sleep promotion bundle initiated. These patients were followed throughout their ICUstay and presence of delirium was tracked. Compliance with the sleep promotion bundle wasalso tracked. Results: The 30 day rate of ICU delirium was reduced by 47.3% (p = 0.019).Conclusion: Limitations and implications of this quality improvement project will be discussed.Recommendations for practice will be made and the role of the Clinical Nurse Leader (CNL)will be addressed
Mortality in intensive care: The impact of bacteremia and the utility of systemic inflammatory response syndrome
Background:
The purpose of this study was to determine the impact of bacteremia on intensive care unit (ICU) mortality and to develop a bacteremia prediction tool using systemic inflammatory response syndrome (SIRS) criteria.
Methods:
Patients included those aged >18 years who had blood cultures taken in the ICU from January 1, 2011-December 31, 2013. Eligible patients were identified from microbiology records of the Glasgow Royal Infirmary, Scotland. Clinical and outcome data were gathered from ICU records. Patients with clinically significant bacteremia were matched to controls using propensity scores. SIRS criteria were gathered and used to create decision rules to predict the absence of bacteremia. The main outcome was mortality at ICU discharge. The utility of the decision tools was measured using sensitivity and specificity.
Results:
One hundred patients had a clinically significant positive blood culture and were matched to 100 controls. Patients with bacteremia had higher ICU mortality (odds ratio [OR], 2.35; Pâ=â.001) and longer ICU stay (OR, 17.0 vs 7.8 days; Pâ†.001). Of 1,548 blood culture episodes, 1,274 met â„2 SIRS criteria (106 significant positive cultures and 1,168 negative cultures). There was no association between SIRS criteria and positive blood cultures (Pâ=â.11). A decision rule using 3 SIRS criteria had optimal predictive performance (sensitivity, 56%; specificity, 50%) but low accuracy.
Conclusions:
ICU patients with bacteremia have increased mortality and length of ICU stay. SIRS criteria cannot be used to identify patients at low risk of bacteremia
The effect of adding comorbidities to current centers for disease control and prevention central-lineâassociated bloodstream infection risk-adjustment methodology
BACKGROUNDRisk adjustment is needed to fairly compare central-lineâassociated bloodstream infection (CLABSI) rates between hospitals. Until 2017, the Centers for Disease Control and Prevention (CDC) methodology adjusted CLABSI rates only by type of intensive care unit (ICU). The 2017 CDC models also adjust for hospital size and medical school affiliation. We hypothesized that risk adjustment would be improved by including patient demographics and comorbidities from electronically available hospital discharge codes.METHODSUsing a cohort design across 22 hospitals, we analyzed data from ICU patients admitted between January 2012 and December 2013. Demographics and International Classification of Diseases, Ninth Edition, Clinical Modification (ICD-9-CM) discharge codes were obtained for each patient, and CLABSIs were identified by trained infection preventionists. Models adjusting only for ICU type and for ICU type plus patient case mix were built and compared using discrimination and standardized infection ratio (SIR). Hospitals were ranked by SIR for each model to examine and compare the changes in rank.RESULTSOverall, 85,849 ICU patients were analyzed and 162 (0.2%) developed CLABSI. The significant variables added to the ICU model were coagulopathy, paralysis, renal failure, malnutrition, and age. The C statistics were 0.55 (95% CI, 0.51â0.59) for the ICU-type model and 0.64 (95% CI, 0.60â0.69) for the ICU-type plus patient case-mix model. When the hospitals were ranked by adjusted SIRs, 10 hospitals (45%) changed rank when comorbidity was added to the ICU-type model.CONCLUSIONSOur risk-adjustment model for CLABSI using electronically available comorbidities demonstrated better discrimination than did the CDC model. The CDC should strongly consider comorbidity-based risk adjustment to more accurately compare CLABSI rates across hospitals.Infect Control Hosp Epidemiol 2017;38:1019â1024</jats:sec
Developing minimum clinical standards for physiotherapy in South African ICUs: A qualitative study
Rationale, aims, and objectives: Physiotherapists are integral members of the intensive care unit (ICU) team. Clinicians working in ICU are dependent on their own experience when making decisions regarding individual patient management thus resulting in variation in clinical practice. No formalized clinical practice guidelines or standards exist for the educational profile or scope of practice requirements for ICU physiotherapy. This study explored perceptions of physiotherapists on minimum clinical standards that ICU physiotherapists should adhere to for delivering safe, effective physiotherapy services to critically ill patients.
Method: Experienced physiotherapists offering a service to South African ICUs were purposively sampled. Three focus group sessions were held in different parts of the country to ensure national participation. Each was audio recorded. The stimulus question posed was âWhat is the minimum standard of clinical practice needed by physiotherapists to ensure safe and independent practice in South African ICUs?â Three categories were explored, namely, knowledge, skill, and attributes. Themes and subthemes were developed using the codes identified. An inductive approach to data analysis was used to perform conventional content analysis.
Results: Twenty-five physiotherapists participated in 1 of 3 focus group sessions. Mean years of ICU experience was 10.8 years (±7.0; range, 3-33). Three themes emerged from the data namely, integrated medical knowledge, multidisciplinary teamwork, and physiotherapy practice. Integrated medical knowledge related to anatomy and physiology, conditions that patients present with in ICU, the ICU environment, pathology and pathophysiology, and pharmacology. Multidisciplinary teamwork encompassed elements related to communication, continuous professional development, cultural sensitivity, documentation, ethics, professionalism, safety in ICU, and technology. Components related to physiotherapy practice included clinical reasoning, handling skills, interventions, and patient care.
Conclusions: The information obtained will be used to inform the development of a list of standards to be presented to the wider national physiotherapy and ICU communities for further consensus-building activities
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