Outcome of emergency department patients with delayed admission to an intensive care unit

Objective: To compare 30 day mortality, length of stay and cost for adult emergency department patients with a delay in intensive care unit admission of up to 24 h with a group of patients admitted directly from the emergency department to the intensive care unit. Methods: Retrospective cohort study in a 300‐bed university affiliated teaching hospital. One hundred and twenty‐two adult emergency department patients admitted to the intensive care unit either directly from the emergency department (direct group) or within 24 h of ward admission (delayed group) were identified. The main outcome measures investigated were 30 day mortality, length of stay and cost. Results: Thirty day mortality in the delayed group was significantly higher, the risk ratio being 2.46 (95% confidence interval 1.2–5.2). The length of stay and cost were similar in the direct and delayed groups. Baseline estimate of risk of death derived from the mortality probability model calculated from the emergency department data was similar for the two groups (P = 0.10). Emergency department triage categorization and emergency department staff seniority was significantly different (χ² for trends, P = 0.002 and 0.023, respectively), with patients in the delayed group more likely to be triaged as less urgent and to be initially assessed by junior staff. Conclusions: Our study shows that patients transferred to the intensive care unit within 24 h of ward admission from the emergency department had a significant increase in 30 day mortality compared with patients admitted to the intensive care unit directly from the emergency department, but no difference was found in terms of length of stay and cost.     

Association between out-of-hospital emergency department transfer and poor hospital outcome in critically ill stroke patients

Introduction

Transfer of critically ill patients from outside emergency department has the potential for delaying the admission to the intensive care unit. We sought to determine the effect of outside emergency department transfer on hospital outcomes in critically ill patients with stroke.

Methods

We designed a retrospective cohort analysis using a prospectively compiled and maintained registry (Cerner Project IMPACT). Patients with acute ischemic stroke and intracerebral hemorrhage admitted to our intensive care unit from our emergency department and transfers from outside emergency department within 24 hours of stroke between January 1, 2003, and December 31, 2008, were selected for the analysis. Data collected included demographics, admission physiologic variables, Glasgow Coma Scale, Acute Physiology and Chronic Health Evaluation II score, and total intensive care unit and hospital length of stay. Primary (poor) outcome was a composite of death or fully dependent status at hospital discharge, and secondary outcomes were intensive care unit and hospital length of stay. To assess for the impact of outside emergency department transfer on primary and secondary outcomes, demographic and admission clinical variables were used to construct logistic regression models using the outcome measure as a dependent variable.

Results

A total of 448 patients were selected for analysis. The mean age was 65 ± 14 years, of which 214 (48%) were male and 282 (65%) white, 152 (34%) were patients with acute ischemic stroke, and 296 (66%) were patients with intracerebral hemorrhage. The median hospital length of stay was 7 days (interquartile range, 4-11 days) and median intensive care unit length of stay was 2 days (interquartile range, 1-3 days). Overall hospital mortality was 30%, and outside emergency department transfer increased the odds of poor outcome by 2-fold (65% vs 34%; P = .05). Multivariate regression analysis showed that age (odds ratio [OR], 1.02; 95% confidence interval [CI], 1.01-1.1), Acute Physiology and Chronic Health Evaluation II score >14 (OR, 1.9; 95% CI, 1.3-2.7), Glasgow Coma Scale <12 (OR, 2.0; 95% CI, 1.4-2.8), do-not-resuscitate status (OR, 3.5; 95% CI, 2.2-5.9), and outside emergency department transfers (OR, 1.4; 95% CI, 1.02-1.8) were independently associated with poor outcome. Outside emergency department transfer was not significantly associated with secondary outcomes.

Conclusion

These data suggest that in critically ill patients with stroke, transfer from outside emergency department is independently associated with poor outcome at hospital discharge. Further research is needed as to identify the potential causes for this effect.     

Evaluation of a Practice Improvement Protocol for Patient Transfer From the Emergency Department to the Surgical Intensive Care Unit After a Level I Trauma Activation

Background

ED boarding is a major issue in many hospitals. ED boarding occurs when there is insufficient hospital capacity to supply inpatient beds for admitted patients. ED boarding is not only a problem because of increased wait times for patients but also because it results in delays in administration of medication, higher rates of complications, and increased mortality.

The impact of ED boarding time, severity of illness, and discharge destination on outcomes of critically ill ED patients

This aim of this study was to determine the association between emergency department (ED) boarding time, severity of illness, and outcomes for critically ill patients. This was a prospective cohort study of ED patients who met criteria for admission to the intensive care unit (ICU). Patients were divided into 2 groups: those who spent less than 6 hr in the ED prior to transfer, and those who spent 6 hr or more. The groups were compared on the basis of severity of illness, Glasgow Coma Scale score, presence of fever, admission time, and hospital survival. Factors associated with increased mortality included patients who spent 6 hr or longer in the ED, had a fever, were admitted in the evening or night, or were indirect ICU admissions. Length of time spent in the ED prior to transfer to inpatient care is one of several factors associated with increased mortality in critical care patients who were intubated in the ED.     

Emergency physician-based intensive care unit for critically ill patients visiting emergency department

BackgroundTo provide a prompt and optimal intensive care to critically ill patients visiting our emergency department (ED), we set up and ran a specific type of emergency intensive care unit (EICU) managed by emergency physician (EP) intensivists. We investigated whether this EICU reduced the time interval from ED arrival to ICU transfer (ED-ICU interval) without altering mortality.MethodsThis was a retrospective study conducted in a tertiary referral hospital. We collected data from ED patients who were admitted to the EICU (EICU group) and other ICUs including medical, surgical, and cardiopulmonary ICUs (other ICUs group), from August 2014 to July 2017. We compared these two groups with respect to demographic findings, including the Acute Physiology and Chronic Health Evaluation II (APACHE II) score, ED-ICU interval, ICU mortality, and hospital mortality.ResultsAmong the 3440 critically ill patients who visited ED, 1815 (52.8%) were admitted to the EICU during the study period. The ED-ICU interval for the EICU group was significantly shorter than that for the other ICUs group by 27.5% (5.0 ± 4.9 vs. 6.9 ± 5.4 h, p < 0.001). In multivariable analysis, the ICU mortality (odds ratio = 1.062, 95% confidence interval 0.862–1.308, p = 0.571) and hospital mortality (odds ratio = 1.093, 95% confidence interval 0.892–1.338, p = 0.391) of the EICU group were not inferior to those of the other ICUs group.ConclusionsThe EICU run by EP intensivists reduced the time interval from ED arrival to ICU transfer without altering hospital mortality.     

Operational performance of validated physiologic scoring systems for predicting in-hospital mortality among critically ill emergency department patients

OBJECTIVES: New Simplified Acute Physiology Score (SAPS) II, Morbidity Probability Model at admission (MPM0 II), and Logistic Organ Dysfunction System (LODS) have all demonstrated high accuracy for predicting mortality in intensive care unit populations. We tested the prognostic accuracy of these instruments for predicting mortality among a cohort of critically ill emergency department patients. DESIGN: Secondary analysis of a randomized controlled trial. SETTING: Urban, tertiary emergency department, census >100,000. PATIENTS: Nontrauma emergency department patients admitted to an intensive care unit, aged >17 yrs, with initial emergency department vital signs consistent with shock (systolic blood pressure <100 mm Hg or shock index >1.0), and with agreement of two independent observers for at least one sign and symptom of inadequate tissue perfusion. INTERVENTIONS: Emergency department variables needed for calculation of each scoring system were prospectively collected, and published formulas were used to calculate the probability of in-hospital death for each scoring system. The main outcome was actual in-hospital mortality. The area under the receiver operating characteristic curve was used to evaluate the predictive ability of each scoring system. MEASUREMENTS AND MAIN RESULTS: Ninety-one of 202 patients (45%) were included. The mean age was 56 +/- 16 yrs, 42% were female, the mean initial systolic blood pressure was 84 +/- 13 mm Hg, and the average length of stay in the emergency department was 4.2 +/- 2.0 hrs. The in-hospital mortality rate was 21%. The area under the receiver operating characteristic curve for calculated probability of in-hospital mortality for SAPS II was 0.72 (95% confidence interval, 0.57-0.87), for MPM0 II 0.69 (95% confidence interval, 0.54-0.84), and for LODS 0.60 (95% confidence interval, 0.45-0.76). CONCLUSIONS: Using variables available in the emergency department, three previously validated intensive care unit scoring systems demonstrated moderate accuracy for predicting in-hospital mortality.     

Effect of interhospital transfer on resource utilization and outcomes at a tertiary care referral center

OBJECTIVE: Mortality and length of stay are two outcome variables commonly used as benchmarks in rating the performance of medical centers. Acceptance of transfer patients has been shown to affect both outcomes and the costs of health care. Our objective was to compare observed and predicted lengths of stay, observed and predicted mortality, and resource consumption between patients directly admitted and those transferred to the intensive care unit (ICU) of a large academic medical center. DESIGN: Observational cohort study. SETTING: Mixed medical/surgical ICU of a university hospital. PATIENTS: A total of 4,569 consecutive patients admitted to a tertiary care ICU from April 1, 1997, to March 30, 2000. INTERVENTIONS: None. MEASUREMENTS: Acute Physiology and Chronic Health Evaluation (APACHE) III score, actual and predicted ICU and hospital lengths of stay, actual and predicted ICU and hospital mortality, and costs per admission. MAIN RESULTS: Crude comparison of directly admitted and transfer patients revealed that transfer patients had significantly higher APACHE III scores (mean, 60.5 vs. 49.7, p < .001), ICU mortality (14% vs. 8%, p < .001), and hospital mortality (22% vs. 14%, p < .001). Transfer patients also had longer ICU lengths of stay (mean, 6.0 vs. 3.8 days, p < .001) and hospital lengths of stay (mean, 20 vs. 15.9 days, p < .001). Stratified by disease severity using the APACHE III model, there was no difference in either ICU or hospital mortality between the two populations. However, in the transfer group with the lowest predicted mortality of 0-20%, ICU and hospital lengths of stay were significantly higher. In crude cost analysis, transfer patients' costs were $9,600 higher per ICU admission compared with nontransfer patients (95% confidence interval, $6,000-$13,400). Risk stratification revealed that the higher per-patient cost was entirely confined to the transfer patients with the lowest predicted mortality. CONCLUSIONS: Patients transferred to a tertiary care ICU are generally more severely ill and consume more resources. However, they have similar adjusted mortality outcomes when compared with directly admitted patients. The difference in resource consumption is mainly attributable to the group of patients in the lowest predicted risk bracket.     

Prognostic factors for mortality following interhospital transfers to the medical intensive care unit of a tertiary referral center

OBJECTIVE: To describe characteristics of patients transferred from outside hospitals to a tertiary medical intensive care unit and to identify patient-level and system-level prognostic factors. DESIGN: Retrospective cohort study. SETTING: Tertiary university hospital. PATIENTS: We studied 3,347 patients who were transferred to the medical intensive care unit from outside hospitals from January 1990 through September 1999. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Data collected included patient demographics, insurance type, discharge diagnoses, length of stay, mortality, admitting service, and distance traveled. The Charlson Comorbidity Score was used to adjust for comorbidity and the diagnostic related group risk level for risk of adverse outcome. Multivariate logistic models of early mortality (<72 hrs) and overall hospital mortality rate were developed. The most common major diagnostic categories included neurologic (10%), respiratory (10%), digestive diseases (10%), and drug overdose (10%). Most patients (70%) were transferred from >60 miles away. Mean medical intensive care unit length of stay was 5.3 days vs. 3.9 days for nontransfer patients. Transfer patients accounted for 49% of medical intensive care unit admits and 56% of intensive care unit patient-days. The overall mortality rate for transfer patients to the medical intensive care unit was 25% (95% confidence interval, 23-26), significantly higher than the 21% (95% confidence interval, 19-22) mortality rate among those admitted directly. Independent prognostic factors for early death (<72 hrs) included male gender, summer season, admitting service, diagnostic related group level, Charlson Comorbidity Score, insurance type, and major diagnostic category. Independent prognostic factors for overall hospital mortality rate included length of stay, medical complication, distance traveled, insurance type, and major diagnostic category. CONCLUSIONS: Interhospital transfers to the medical intensive care unit are patients at high risk for mortality and other adverse outcomes. System-level and patient-level characteristics influence both early and overall hospital mortality rates. These variables should be considered when risk stratifying medical intensive care unit patients and in studying outcomes of care.     

Interhospital transfer of critically ill patients: demographic and outcomes comparison with nontransferred intensive care unit patients

PURPOSE: We examined the association between access to intensive care services and mortality in a cohort of critically ill patients. MATERIALS AND METHODS: We conducted an observational study involving 6298 consecutive admissions to the intensive care units (ICUs) of a tertiary care hospital. Data including demographics, admission source, and outcomes were collected on all patients. Admission source was classified as "transfer" for patients admitted to the ICU from other hospitals, "ER" for patients admitted from the emergency room, and "ward" for patients admitted from non-ICU inpatient wards. RESULTS: Transfer patients had higher crude ICU and hospital mortality rates compared with emergency room admissions (crude odds ratio [OR], 1.51; 95% confidence interval [CI], 1.32-1.75). After adjusting for age, sex, diagnosis, comorbidities, and acute physiology scores, the difference in ICU mortality remained significant (OR, 1.30; 95% CI, 1.09-1.56); however, hospital mortality did not (OR, 1.19; 95% CI, 1.00-1.41). Compared with ward patients, transfer from other hospitals was associated with lower hospital mortality after adjusting for severity of illness and other case-mix variables (OR, 0.81; 95% CI, 0.68-0.95). CONCLUSIONS: We found some evidence to suggest that differential access to intensive care services impacts mortality within this case mix of patients. These findings may have implications for current efforts to centralize and regionalize critical care services.     

Survival of critically ill patients hospitalized in and out of intensive care

OBJECTIVE: A lack of intensive care units beds in Israel results in critically ill patients being treated outside of the intensive care unit. The survival of such patients is largely unknown. The present study's objective was to screen entire hospitals for newly deteriorated patients and compare their survival in and out of the intensive care unit. DESIGN: A priori developed intensive care unit admission criteria were used to screen, during 2 wks, the patient population for eligible incident patients. A screening team visited every hospital ward of five acute care hospitals daily. Eligible patients were identified among new admissions in the emergency department and among hospitalized patients who acutely deteriorated. Patients were followed for 30 days for mortality regardless of discharge. SETTING: Five acute care hospitals. PATIENTS: A total of 749 newly deteriorated patients. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Crude survival of patients in and out of the intensive care unit was compared by Kaplan-Meier curves, and Cox models were constructed to adjust the survival comparisons for residual case-mix differences. A total of 749 newly deteriorated patients were identified among 44,000 patients screened (1.7%). Of these, 13% were admitted to intensive care unit, 32% to special care units, and 55% to regular departments. Intensive care unit patients had better early survival (0-3 days) relative to regular departments (p=.0001) in a Cox multivariate model. Early advantage of intensive care was most pronounced among patients who acutely deteriorated while on hospital wards rather than among newly admitted patients. CONCLUSIONS: Only a small proportion of eligible patients reach the intensive care unit, and early admission is imperative for their survival advantage. As intensive care unit benefit was most pronounced among those deteriorating on hospital wards, intensive care unit triage decisions should be targeted at maximizing intensive care unit benefit by early admitting patients deteriorating on hospital wards.     

Morbid obesity is an independent determinant of death among surgical critically ill patients

OBJECTIVE: To determine whether extreme obesity (morbid obesity; body mass index > or =40 kg/m(2)) is an independent risk factor for death among critically ill patients; this objective is most salient in the subset of patients who sustain a prolonged intensive care unit stay during which the burdens of care imposed by obesity and its consequences would become most apparent. DESIGN: Cohort analysis of data from the Project Impact database used to catalog admissions and outcomes to a surgical intensive care unit, with predetermined end point analyses of outcomes. SETTING: Surgical intensive care unit serving Tufts-New England Medical Center, a tertiary care and university medical center in Boston. PATIENTS: All critically ill surgical patients admitted to the Tufts-New England Medical Center surgical intensive care unit from January 1998 to March 2001. INTERVENTIONS: Intensive care unit and hospital mortality and lengths of stay were compared with body mass index subclassified into five groups: underweight, normal weight, overweight, obese, and extremely obese. Data were examined for all admissions during the study period and for a predetermined subgroup with a prolonged intensive care unit stay (> or =4 days). MEASUREMENTS AND MAIN RESULTS: The prevalence of obesity in the surgical intensive care unit was 26.7%; extreme obesity was observed in 6.8%. In the full cohort of patients (n = 1373), median length of stay was short (2 days) and there were no differences in mortality in patients among any of the body mass index classes. In the subgroup of prolonged stay patients (n = 406), intensive care unit and hospital mortality rates were significantly increased in extremely obese patients compared with all other patients (intensive care unit, 33.3% vs. 12.3%, p = .009; hospital, 33.3% vs. 16%, p = .045). Multivariate analysis showed that extreme obesity was an independent predictor of death in surgical critically ill patients with prolonged intensive care unit stay after controlling for age, gender, and severity of illness. The odds of death increased 7.4 times in patients with morbid obesity. CONCLUSIONS: Morbid obesity (body mass index > or =40 kg/m(2)) is an independent risk factor for death in surgical patients with catastrophic illness requiring prolonged intensive care. The prevalence of obesity is growing, both in the intensive care unit and in the general population. The increased risk of complications and death in this population mandates that we adapt customized processes of care to specifically address this unique and very challenging subset of patients.     

Hospital mortality rate and length of stay in patients admitted at night to the intensive care unit

OBJECTIVE: Although admission of patients to a medical ward after 5:00 pm has been associated with increased mortality rate and possibly shorter hospital stay, the association between timing of admission to the intensive care unit and outcome has not been studied. The objective of this study was to determine whether there are any associations between the timing of patient admission to a medical intensive care unit and hospital outcome. DESIGN: A retrospective cohort study that used an Acute Physiology and Chronic Health Evaluation III database containing prospectively collected demographic, clinical, and outcome information for patients. Patients were divided according to the time of admission into daytime (from 7:00 am to 5:00 pm) and nighttime admissions. We further subdivided nighttime admissions into two groups (regular and heavy workload) according to the number of patients who were admitted during the same shift. SETTING: Medical intensive care unit (a 15-bed unit in an academic referral hospital). PATIENTS: 6,034 patients consecutively admitted to our medical intensive care unit over a 5-yr period starting April 10, 1995. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The patients admitted at night had a lower mortality rate (13.9 vs. 17.2%, p < .0001), adjusted for admission source and severity of illness. Their hospital stay was shorter, 11.0 days +/- 13.5 (median 7) vs. 12.7 +/- 14.8 (median 8; p < .0001), as was their intensive care unit stay, 3.5 +/- 4.4 days (median 2) vs. 3.9 +/- 4.7 (median 2; p < .0001), compared with the daytime admission group. The nighttime shifts that admitted three or more patients (heavy workload) had the same mortality rate (13.2%) as those with fewer admissions (14.5%; p = .5961). Hospital and intensive care unit stays were also similar in both workload groups. CONCLUSIONS: Nighttime admission to our intensive care unit is not associated with a higher mortality rate or a longer hospital or intensive care unit stay compared with daytime admission.     

Prognostic importance of neutrophil-lymphocyte ratio in critically ill patients: short- and long-term outcomes

Study objectiveThe number of critically ill patients admitted to the emergency department increases daily. To decrease mortality, interventions and treatments should be conducted in a timely manner. It has been found that the neutrophil-lymphocyte ratio (NLR) is related to mortality in some disease groups, such as acute coronary syndrome and pulmonary emboli. The effect of the NLR on mortality is unknown in critically ill patients who are admitted to the emergency department. Our aim in this study is to evaluate the effect of the NLR on mortality in critically ill patients.MethodsThis study was planned as a prospective, observational cohort study. Patients who were admitted to the emergency department because they were critically ill and required the intensive care unit were included in the study. Demographic characteristics, Acute Physiology and Chronic Health Evaluation II (APACHE II), Sepsis-related Organ Failure Assessment, Glasgow Coma Score, and NLR values were recorded upon emergency department admission. The patients were followed up for sepsis, ventilator-associated pneumonia, multiorgan failure, in-hospital mortality, and 6-month mortality.ResultsThe median (interquartile range) age of the 373 patients was 74 (190) years, and 54.4% were men. Neutrophil-lymphocyte ratio values were divided into quartiles, as follows: less than 3.48, 3.48 to 6.73, 6.74-13.6, and more than 13.6. There was no difference among these 4 groups regarding demographic characteristics, APACHE II score, Sepsis-related Organ Failure Assessment score, Glasgow Coma Score, and length of hospital stay (P > .05). In the multivariable Cox regression model, in-hospital mortality and 6-month mortality NLR were hazard ratio (HR), 1.63 (1.110-2.415; P = .01) and HR, 1.58 (1.136-2.213; P = .007), respectively, and APACHE II scores were detected as independent indicators.ConclusionThe NLR is a simple, cheap, rapidly available, and independent indicator of short- and long-term mortalities. We suggest that the NLR can provide direction to emergency department physicians for interventions, particularly within a few hours after admission, in the critically ill patient group.     

Multicenter study of clinical features of sudden-onset versus slower-onset asthma exacerbations requiring hospitalization

BACKGROUND: Asthma exacerbations differ in their speed of symptom onset. OBJECTIVE: To characterize and compare demographic factors, clinical risk factors, and clinical outcomes among hospitalized patients who presented with sudden-onset (相似文献   

Extreme leukocytosis in the emergency department

BACKGROUND: Extreme leukocytosis in the absence of haematological disease, is a topic about which little is known, although it may be associated with increased mortality among patients admitted to the intensive care department. The significance of extreme leukocytosis in patients presenting to hospital is uncertain. AIM: To study the correlates and prognostic significance of extreme leukocytosis, in patients admitted to an emergency department. DESIGN: Observational study. METHODS: Consecutive adult patients with extreme leukocytosis (>25 x 10(9)/l, n=54) presenting to the emergency department of a university-affiliated hospital were compared to age-matched controls (+/-5 years) with moderate leukocytosis (12-25 x 10(9)/l, n=118) presenting to the same department. Data were collected on demographic features, emergency room findings and hospital course. RESULTS: Patients with extreme leukocytosis were more likely to suffer from infectious disease (74% vs. 48%, p<0.01), to be hospitalized (100% vs. 80%, p<0.001), and to die (32.1% vs. 12.7%, p<0.01), and had a longer median length of stay (7.5 vs. 4.0 days, p<0.005). There was no significant difference in vital signs between the two groups. DISCUSSION: In our patients, extreme leukocytosis appeared to be predominantly caused by infectious disease, and was associated with a high case fatality rate. The degree of leukocytosis may provide prognostic information beyond that reflected in traditional vital signs.     

Early lactate clearance is associated with improved outcome in severe sepsis and septic shock

OBJECTIVE: Serial lactate concentrations can be used to examine disease severity in the intensive care unit. This study examines the clinical utility of the lactate clearance before intensive care unit admission (during the most proximal period of disease presentation) as an indicator of outcome in severe sepsis and septic shock. We hypothesize that a high lactate clearance in 6 hrs is associated with decreased mortality rate. DESIGN: Prospective observational study. SETTING: An urban emergency department and intensive care unit over a 1-yr period. PATIENTS: A convenience cohort of patients with severe sepsis or septic shock. INTERVENTIONS: Therapy was initiated in the emergency department and continued in the intensive care unit, including central venous and arterial catheterization, antibiotics, fluid resuscitation, mechanical ventilation, vasopressors, and inotropes when appropriate. MEASUREMENTS AND MAIN RESULTS: Vital signs, laboratory values, and Acute Physiology and Chronic Health Evaluation (APACHE) II score were obtained at hour 0 (emergency department presentation), hour 6, and over the first 72 hrs of hospitalization. Therapy given in the emergency department and intensive care unit was recorded. Lactate clearance was defined as the percent decrease in lactate from emergency department presentation to hour 6. Logistic regression analysis was performed to determine independent variables associated with mortality. One hundred and eleven patients were enrolled with mean age 64.9 +/- 16.7 yrs, emergency department length of stay 6.3 +/- 3.2 hrs, and overall in-hospital mortality rate 42.3%. Baseline APACHE II score was 20.2 +/- 6.8 and lactate 6.9 +/- 4.6 mmol/L. Survivors compared with nonsurvivors had a lactate clearance of 38.1 +/- 34.6 vs. 12.0 +/- 51.6%, respectively (p =.005). Multivariate logistic regression analysis of statistically significant univariate variables showed lactate clearance to have a significant inverse relationship with mortality (p =.04). There was an approximately 11% decrease likelihood of mortality for each 10% increase in lactate clearance. Patients with a lactate clearance> or =10%, relative to patients with a lactate clearance <10%, had a greater decrease in APACHE II score over the 72-hr study period and a lower 60-day mortality rate (p =.007). CONCLUSIONS: Lactate clearance early in the hospital course may indicate a resolution of global tissue hypoxia and is associated with decreased mortality rate. Patients with higher lactate clearance after 6 hrs of emergency department intervention have improved outcome compared with those with lower lactate clearance.     

Racial Disparities in Emergency Department Length of Stay for Admitted Patients in the United States

Objectives: Recent studies have demonstrated the adverse effects of prolonged emergency department (ED) boarding times on outcomes. The authors sought to examine racial disparities across U.S. hospitals in ED length of stay (LOS) for admitted patients, which may serve as a proxy for boarding time in data sets where the actual time of admission is unavailable. Specifically, the study estimated both the within‐ and among‐hospital effects of black versus non–black race on LOS for admitted patients. Methods: The authors studied 14,516 intensive care unit (ICU) and non‐ICU admissions in 408 EDs in the National Hospital Ambulatory Medical Care Survey (NHAMCS; 2003–2005). The main outcomes were ED LOS (triage to transfer to inpatient bed) and proportion of patients with prolonged LOS (>6 hours). The effects of black versus non–black race on LOS were decomposed to distinguish racial disparities between patients at the same hospital (within‐hospital component) and between hospitals that serve higher proportions of black patients (among‐hospital component). Results: In the unadjusted analyses, ED LOS was significantly longer for black patients admitted to ICU beds (367 minutes vs. 290 minutes) and non‐ICU beds (397 minutes vs. 345 minutes). For admissions to ICU beds, the within‐hospital estimates suggested that blacks were at higher risk for ED LOS of >6 hours (odds ratio [OR] = 1.42, 95% confidence interval [CI] = 1.01 to 2.01), while the among‐hospital differences were not significant (OR = 1.08 for each 10% increase in the proportion of black patients, 95% CI = 0.96 to 1.23). By contrast, for non‐ICU admissions, the within‐hospital racial disparities were not significant (OR = 1.12, 95% CI = 0.94 to 1.23), but the among‐hospital differences were significant (OR = 1.13, 95% CI = 1.04 to 1.22) per 10% point increase in the percentage of blacks admitted to a hospital. Conclusions: Black patients who are admitted to the hospital through the ED have longer ED LOS compared to non–blacks, indicating that racial disparities may exist across U.S. hospitals. The disparity for non‐ICU patients might be accounted for by among‐hospital differences, where hospitals with a higher proportion of blacks have longer waits. The disparity for ICU patients is better explained by within‐hospital differences, where blacks have longer wait times than non–blacks in the same hospital. However, there may be additional unmeasured clinical or socioeconomic factors that explain these results.