Jeffrey Sankoff

Validation of the Mortality in Emergency Department Sepsis (MEDS) score in patients with the systemic inflammatory response syndrome (SIRS)

Objective: To prospectively and externally validate the Mortality in Emergency Department Sepsis (MEDS) score as a predictor of 28-day mortality in patients who present to the emergency department with a systemic inflammatory response syndrome. Design: Multicentered prospective cohort study. Setting: Emergency departments at the University of Colorado Hospital and Denver Health Medical Center in Denver, CO, and Albert Einstein Medical Center and the Hospital of the University of Pennsylvania in Philadelphia, PA. Subjects: Adult patients who presented to the emergency department, who met criteria for systemic inflammatory response syndrome, and who were admitted to the hospital. Measurements: The MEDS score was calculated by recording the presence of terminal illness, tachypnea or hypoxemia, septic shock, platelet count <150,000 cells/mm3, band count as a percentage of total white blood cell count >5%, age >65 yrs, lower respiratory infection, nursing home residence, and altered mental status. Outcome: Mortality within 28 days or discharged alive from the hospital. Results: In all, 385 patients were enrolled between 18 and 100 yrs of age. The overall mortality was 9%. As in the original article, the MEDS score was categorized into five groups: very low, low, moderate, high, and very high for 28-day mortality. Mortality rates for each group were 0.6% (95% confidence interval [CI], 0%–3%), 5% (95% CI, 1%-13%), 19% (95% CI, 11%-29%), 32% (95% CI, 15%-54%), and 40% (95% CI, 12%-74%), respectively. The MEDS score had an area under the receiver operating characteristic curve of 0.88 (95% CI, 0.83-0.92). Conclusions: The MEDS score accurately predicts 28-day mortality in patients who present to the emergency department with systemic inflammatory response syndrome and who are admitted to the hospital.

Payer Status, Race/Ethnicity, and Acceptance of Free Routine Opt-Out Rapid HIV Screening Among Emergency Department Patients

OBJECTIVES We estimated associations between payer status, race/ethnicity, and acceptance of nontargeted opt-out rapid HIV screening in the emergency department (ED). METHODS We analyzed data from a prospective clinical trial between 2007 and 2009 at Denver Health. Patients in the ED were offered free HIV testing. Patient demographics and payer status were collected, and we used multivariable logistic regression to estimate associations with HIV testing acceptance. RESULTS A total of 31,525 patients made 44, 765 unique visits: 40% were White, 37% Hispanic, 14% Black, 1% Asian, and 7% unknown race/ethnicity. Of all visits, 10 ,237 (23%) agreed to HIV testing; 27% were self-pay, 23% state-sponsored, 18% Medicaid, 13% commercial insurance, 12% Medicare, and 8% another payer source. Compared with commercial insurance patients, self-pay patients (odds ratio [OR] = 1.63; 95% confidence interval [CI] = 1.51, 1.75), state-sponsored patients (OR = 1.64; 95% CI = 1.52, 1.77), and Medicaid patients (OR = 1.24; 95% CI = 1.14, 1.34) had increased odds of accepting testing. Compared with White patients, Black (OR = 1.29; 95% CI = 1.21, 1.38) and Hispanic (OR = 1.17; 95% CI = 1.11, 1.23) patients had increased odds of accepting testing. CONCLUSIONS Many ED patients are uninsured or subsidized through government programs and are more likely to consent to free rapid HIV testing.

Sensitivity of systemic inflammatory response syndrome for critical illness among ED patients.

BACKGROUND Little is known about the diagnostic accuracy of systemic inflammatory response syndrome (SIRS) criteria for critical illness among emergency department (ED) patients with and without infection. Our objective was to assess the diagnostic accuracy of SIRS criteria for critical illness in ED patients. METHODS This was a retrospective cohort study of ED patients at an urban academic hospital. Standardized chart abstraction was performed on a random sample of all adult ED medical patients admitted to the hospital during a 1-year period, excluding repeat visits, transfers, ED deaths, and primary surgical or psychiatric admissions. The binary composite outcome of critical illness was defined as 24 hours or longer in intensive care or inhospital death. Presumed infection was defined as receiving antibiotics within 48 hours of admission. Systemic inflammatory response syndrome criteria were calculated using ED triage vital signs and initial white blood cell count. RESULTS We studied 1152 patients; 39% had SIRS, 27% had presumed infection, and 23% had critical illness (2% had inhospital mortality, and 22% had ≥24 hours in intensive care). Of patients with SIRS, 38% had presumed infection. Of patients without SIRS, 21% had presumed infection. The sensitivity of SIRS criteria for critical illness was 52% (95% confidence interval [CI], 46%-58%) in all patients, 66% (95% CI, 56%-75%) in patients with presumed infection, and 43% (95% CI, 36%-51%) in patients without presumed infection. CONCLUSIONS Systemic inflammatory response syndrome at ED triage, as currently defined, has poor sensitivity for critical illness in medical patients admitted from the ED.

Original ContributionSensitivity of systemic inflammatory response syndrome for critical illness among ED patients

BACKGROUND Little is known about the diagnostic accuracy of systemic inflammatory response syndrome (SIRS) criteria for critical illness among emergency department (ED) patients with and without infection. Our objective was to assess the diagnostic accuracy of SIRS criteria for critical illness in ED patients. METHODS This was a retrospective cohort study of ED patients at an urban academic hospital. Standardized chart abstraction was performed on a random sample of all adult ED medical patients admitted to the hospital during a 1-year period, excluding repeat visits, transfers, ED deaths, and primary surgical or psychiatric admissions. The binary composite outcome of critical illness was defined as 24 hours or longer in intensive care or inhospital death. Presumed infection was defined as receiving antibiotics within 48 hours of admission. Systemic inflammatory response syndrome criteria were calculated using ED triage vital signs and initial white blood cell count. RESULTS We studied 1152 patients; 39% had SIRS, 27% had presumed infection, and 23% had critical illness (2% had inhospital mortality, and 22% had ≥24 hours in intensive care). Of patients with SIRS, 38% had presumed infection. Of patients without SIRS, 21% had presumed infection. The sensitivity of SIRS criteria for critical illness was 52% (95% confidence interval [CI], 46%-58%) in all patients, 66% (95% CI, 56%-75%) in patients with presumed infection, and 43% (95% CI, 36%-51%) in patients without presumed infection. CONCLUSIONS Systemic inflammatory response syndrome at ED triage, as currently defined, has poor sensitivity for critical illness in medical patients admitted from the ED.

A Call to Action: Firearms, Public Health, and Emergency Medicine

At the time of this writing, it has been 2 months since Newtown. We have each mourned from a distance, imagining the heartbreak. We have asked ourselves what we would have done were this our community, our school, our child. We have formed opinions about what may or may not have stopped this tragedy. And we have each quietly recalled other tragedies that we have witnessed. Now it is time, as individuals and as a specialty, to take action to decrease the likelihood of future deaths.... Language: en

Initial mechanical ventilator settings and lung protective ventilation in the ED

OBJECTIVE Mechanical ventilation with low tidal volumes has been shown to improve outcomes for patients both with and without acute respiratory distress syndrome. This study aims to characterize mechanically ventilated patients in the emergency department (ED), describe the initial ED ventilator settings, and assess for associations between lung protective ventilation strategies in the ED and outcomes. METHODS This was a multicenter, prospective, observational study of mechanical ventilation at 3 academic EDs. We defined lung protective ventilation as a tidal volume of less than or equal to 8 mL/kg of predicted body weight and compared outcomes for patients ventilated with lung protective vs non-lung protective ventilation, including inhospital mortality, ventilator days, intensive care unit length of stay, and hospital length of stay. RESULTS Data from 433 patients were analyzed. Altered mental status without respiratory pathology was the most common reason for intubation, followed by trauma and respiratory failure. Two hundred sixty-one patients (60.3%) received lung protective ventilation, but most patients were ventilated with a low positive end-expiratory pressure, high fraction of inspired oxygen strategy. Patients were ventilated in the ED for a mean of 5 hours and 7 minutes but had few ventilator adjustments. Outcomes were not significantly different between patients receiving lung protective vs non-lung protective ventilation. CONCLUSIONS Nearly 40% of ED patients were ventilated with non-lung protective ventilation as well as with low positive end-expiratory pressure and high fraction of inspired oxygen. Despite a mean ED ventilation time of more than 5 hours, few patients had adjustments made to their ventilators.

Emergency Department Blood Gas Utilization and Changes in Ventilator Settings

BACKGROUND: Mechanically ventilated patients increasingly spend hours in emergency department beds before ICU admission. This study evaluated the performance of blood gases in mechanically ventilated subjects in the emergency department and subsequent changes to mechanical ventilation settings. METHODS: This was a multi-center, prospective, observational study of subjects ventilated in the emergency department, conducted at 3 academic emergency departments from July 2011 to March 2013. We measured the rate of arterial blood gas (ABG) and venous blood gas (VBG) analysis, and we assessed the associations between the conditions of hypoxemia, hyperoxia, hypercapnia, or acidemia and changes to mechanical ventilator settings. RESULTS: Of 292 ventilated subjects, 17.1% did not have a blood gas sent in the emergency department. Ventilator changes were made significantly more frequently for subjects who had an ABG as the initial blood gas sent in the emergency department (odds ratio 2.70, 95% CI 1.46–4.99, P = .002). However, findings of hypoxemia, hyperoxia, hypercapnia, or acidemia were not correlated with ventilator adjustments. CONCLUSIONS: In this prospective observational study of subjects mechanically ventilated in the emergency department, the majority had a blood gas checked while in the emergency department. While ABGs were associated with having changes made to ventilator settings in the emergency department, clinical findings of hypoxemia, hyperoxia, hypercapnia, and acidemia were not. Inattention to blood gas results may lead to missed opportunities in guiding ventilator changes in the emergency department.

Duration of Mechanical Ventilation in the Emergency Department

Introduction Due to hospital crowding, mechanically ventilated patients are increasingly spending hours boarding in emergency departments (ED) before intensive care unit (ICU) admission. This study aims to evaluate the association between time ventilated in the ED and in-hospital mortality, duration of mechanical ventilation, ICU and hospital length of stay (LOS). Methods This was a multi-center, prospective, observational study of patients ventilated in the ED, conducted at three academic Level I Trauma Centers from July 2011 to March 2013. All consecutive adult patients on invasive mechanical ventilation were eligible for enrollment. We performed a Cox regression to assess for a mortality effect for mechanically ventilated patients with each hour of increasing LOS in the ED and multivariable regression analyses to assess for independently significant contributors to in-hospital mortality. Our primary outcome was in-hospital mortality, with secondary outcomes of ventilator days, ICU LOS and hospital LOS. We further commented on use of lung protective ventilation and frequency of ventilator changes made in this cohort. Results We enrolled 535 patients, of whom 525 met all inclusion criteria. Altered mental status without respiratory pathology was the most common reason for intubation, followed by trauma and respiratory failure. Using iterated Cox regression, a mortality effect occurred at ED time of mechanical ventilation > 7 hours, and the longer ED stay was also associated with a longer total duration of intubation. However, adjusted multivariable regression analysis demonstrated only older age and admission to the neurosciences ICU as independently associated with increased mortality. Of interest, only 23.8% of patients ventilated in the ED for over seven hours had changes made to their ventilator. Conclusion In a prospective observational study of patients mechanically ventilated in the ED, there was a significant mortality benefit to expedited transfer of patients into an appropriate ICU setting.