The effect of emergency department delay on outcome in critically ill medical patients: evaluation using hospital mortality and quality of life at 6 months

To determine the existence of referral bias in the critically ill by comparing the clinical and epidemiologic characteristics of community (Olmsted County, MN residents) and referral (non-Olmsted County residents) patients admitted to the intensive care unit. Retrospective, cohort study. Academic tertiary care medical center. Patients admitted to the medical and surgical intensive care units at Mayo Medical Center from 1995 to 2004. None. Residency status, demographics, Acute Physiology and Chronic Health Evaluation III score, intensive care unit admission diagnosis and treatment status, intensive care unit and hospital mortality, length of stay, and travel distances to Mayo Clinic. Referral patients with a medical intensive care unit admission were more severely ill, had greater mortality rates and length of stay and were more likely to receive an active intensive care unit intervention compared with community patients (p < 0.0001). Referral and community patients who had a surgical intensive care unit admission had similar severity of illness, length of stay, and intensive care unit mortality rate. Hospital mortality rate was lower in the referral surgical patients compared with community surgical patients (p = 0.0001). When adjusted for severity of illness, intensity of treatment, and admission source, community and referral medical intensive care unit patients had a similar risk of hospital death, whereas referral surgical patients had a lower risk of hospital death compared with community patients. Referral patients who had a medical intensive care unit admission and traveled greater distances to Mayo Clinic had greater mortality rates and length of stay; those who had a surgical intensive care unit admission and traveled greater distances had lower mortalities and length of stay. Patients who resided outside of our local community and who had medical admissions to the intensive care unit were more severely ill, had greater mortality rates, and had longer length of stay compared with community patients. Our findings support the existence of referral bias in critically ill medical patients at our tertiary medical center.

With improved survival of HIV-infected persons on antiretroviral therapy and growing prevalence of non-AIDS diseases, we asked whether the VACS Index, a composite measure of HIV-associated and general organ dysfunction predictive of all-cause mortality, predicts hospitalization and medical intensive care unit (MICU) admission. We also asked whether AIDS and non-AIDS conditions increased risk after accounting for VACS Index score. We analyzed data from the Veterans Aging Cohort Study (VACS), a prospective study of HIV-infected Veterans receiving care between 2002 and 2008. Data were obtained from the electronic medical record, VA administrative databases, and patient questionnaires and were used to identify comorbidities and calculate baseline VACS Index scores. The primary outcome was first hospitalization within 2 years of VACS enrollment. We used multivariable Cox regression to determine risk factors associated with hospitalization and logistic regression to determine risk factors for MICU admission, given hospitalization. Of 3410 patients, 1141 were hospitalized within 2 years; 203 (17.8%)/1141 patients included an MICU admission. Median VACS Index scores were 25 (no hospitalization), 34 (hospitalization only), and 51 (MICU). In adjusted analyses, a 5-point increment in VACS Index score was associated with 10% higher risk of hospitalization and MICU admission. In addition to VACS Index score, Hispanic ethnicity, current smoking, hazardous alcohol use, chronic obstructive pulmonary disease, hypertension, diabetes, and prior AIDS-defining event predicted hospitalization. Among those hospitalized, VACS Index score, cardiac disease, and prior cancer predicted MICU admission. The VACS Index predicted hospitalization and MICU admission as did current smoking, hazardous alcohol use, and AIDS and certain non-AIDS diagnoses.

Purpose: The aim of this study was to determine the outcome of lumbar punctures (LPs) in critically ill medical patients and how likely the results were to change case management. Materials and Methods: A retrospective review was conducted on the medical records of all 168 patients who underwent LP during their medical intensive care unit (MICU) admission at a university hospital during a 4.5-year period beginning in January 2000. Results: Lumbar puncture was performed a mean of 2.8 days after MICU admission. The most common symptoms that prompted LP were changes in mental status and fever. Seventy-four percent of patients were on antibiotics at the time of LP, and 98% of patients had a computed tomography scan of the head performed before the procedure. Lumbar puncture confirmed meningitis in 47 (30%) patients and provided a specific bacteriologic diagnosis in 5 (3%) patients. The results of the procedure led to a change in management in 50 (30%) patients. The presence of meningeal signs and use of antibiotics at the time of the procedure were the factors that predicted change in management. Conclusion: Although the likelihood that LP will yield a specific bacteriologic diagnosis in critically ill patients is low, the procedure frequently provides important information that can lead to a change in case management, most commonly de-escalation of antibiotic therapy.

Early identification of sepsis and initiation of aggressive treatment saves lives. However, the diagnosis of sepsis may be delayed in patients without overt deterioration. Clinical screening tools and lactate levels may help identify sepsis patients at risk for adverse outcomes. The objective was to determine the diagnostic characteristics of a clinical screening tool in combination with measuring early bedside point-of-care (POC) lactate levels in emergency department (ED) patients with suspected sepsis. This was a prospective, observational study set at a suburban academic ED with an annual census of 90,000. A convenience sample of adult ED patients with suspected infection were screened with a sepsis screening tool for the presence of at least one of the following: temperature greater than 38°C or less than 36°C, heart rate greater than 90 beats/min, respiratory rate greater than 20 breaths/min, or altered mental status. Patients meeting criteria had bedside POC lactate testing following triage, which was immediately reported to the treating physician if ≥2.0 mmol/L. Demographic and clinical information, including lactate levels, ED interventions, and final diagnosis, were recorded. Outcomes included presence or absence of sepsis using the American College of Chest Physicians/Society of Critical Care Medicine consensus conference definitions and intensive care unit (ICU) admissions, use of vasopressors, and mortality. Diagnostic test characteristics were calculated using 2-by-2 tables with their 95% confidence intervals (CIs). The association between bedside lactate and ICU admissions, use of vasopressors, and mortality was determined using logistic regression. A total of 258 patients were screened for sepsis. Their mean (± standard deviation [SD]) age was 64 (±19) years; 46% were female, and 82% were white. Lactate levels were 2.0 mmol/L or greater in 80 (31%) patients. Patients were confirmed to meet sepsis criteria in 208 patients (81%). The diagnostic characteristics for sepsis of the combined clinical screening tool and bedside lactates were sensitivity 34% (95% CI = 28% to 41%), specificity 82% (95% CI = 69% to 90%), positive predictive value 89% (95% CI = 80% to 94%), and negative predictive value 23% (95% CI = 17% to 30%). Bedside lactate levels were associated with sepsis severity (p < 0.001), ICU admission (odds ratio [OR] = 2.01; 95% CI = 1.53 to 2.63), and need for vasopressors (OR = 1.54; 95% CI = 1.13 to 2.12). Use of a clinical screening tool in combination with early bedside POC lactates has moderate to good specificity but low sensitivity in adult ED patients with suspected sepsis. Elevated bedside lactate levels are associated with poor outcomes.

Critical care is an expensive and limited resource in the United States. Estimates from more than a decade ago suggest that over $100 billion a year is spent on critical care services.1 Over the past two decades, the number of patients presenting to the Emergency Department (ED) requiring critical care services has increased at a much higher rate than the growth in overall ED volume.2,3 The proportion of ED patients requiring Intensive Care Unit (ICU) admission has increased 75% over the first decade of the twenty-first century. In addition to the increase in the absolute number of patients requiring critical care admission, the ED length of stay for critically ill patients increased by 60 minutes. This resulted in a total nationwide increase in critical care provided in the ED by more than threefold. This disproportionate increase in critical care time reflects both the increase in critical care volume and the increase in ED boarding of critically ill patients. Data from 2008 reported the median boarding time for a patient waiting in the ED for an ICU bed was more than 5 hours, and 30% of patients waited more than 6 hours for an ICU bed.2,3 This article is protected by copyright. All rights reserved.

HIV, hepatitis C virus (HCV), and alcohol-related diagnoses (ARD) independently contribute increased risk of all-cause hospitalization. We sought to determine annual medical intensive care unit (MICU) admission rates and relative risk of MICU admission between 1997 and 2014 among people with and without HIV, HCV, and ARD, using data from the largest HIV and HCV care provider in the United States. Veterans Health Administration. Annual MICU admission rates were calculated among 155,550 patients in the Veterans Aging Cohort Study by HIV, HCV, and ARD status. Adjusted rate ratios and 95% confidence intervals (CIs) were estimated with Poisson regression. Significance of trends in age-adjusted admission rates were tested with generalized linear regression. Models were stratified by calendar period to identify shifts in MICU admission risk over time. Compared to HIV-/HCV-/ARD- patients, relative risk of MICU admission decreased among HIV-mono-infected patients from 61% (95% CI: 1.56 to 1.65) in 1997-2009% to 21% (95% CI: 1.16 to 1.27) in 2010-2014, increased among HCV-mono-infected patients from 22% (95% CI: 1.16 to 1.29) in 1997-2009% to 54% (95% CI: 1.43 to 1.67) in 2010-2014, and remained consistent among patients with ARD only at 46% (95% CI: 1.42 to 1.50). MICU admission rates decreased by 48% among HCV-uninfected patients (P-trend <0.0001) but did not change among HCV+ patients (P-trend = 0.34). HCV infection and ARD remain key contributors to MICU admission risk. The impact of each of these conditions could be mitigated with combination of treatment of HIV, HCV, and interventions targeting unhealthy alcohol use.

To determine outcome and changes in health-related quality of life (QOL) in medical intensive care patients. Prospective comparison of QOL before and 6 months after intensive care unit (ICU) admission in a 12-bed noncoronary medical ICU of a university hospital. All 325 consecutively admitted adult patients who spent at least 24 h on the ICU were eligible. QOL measurements were collected before and 6 months after ICU admission. Comorbidity classified by the Charlson index was 2.44 +/- 1.96. Mean stay in the ICU was 10.4 +/- 15.1 days, mean Acute Physiology and Chronic Health Evaluation II score was 23 +/- 10. Cumulative mortality was: ICU 24 %, hospital 34 %, 6 months 43 %. Relative to baseline, follow-up interviews of 185 survivors revealed no significant changes in the overall QOL score (p = 0.93). The subscales basic physiological activities (p = 0.07) and normal daily activities (p = 0.15) showed a nonsignificant deterioration. A significant improvement was noted for the domain emotional state (p = 0.013). Six months after admission to a medical ICU most survivors had regained their preadmission health-related QOL. Multivariate analysis showed that preadmission QOL, age, and severity of illness were most strongly associated with follow-up QOL. Of the survivors 86 % were living at home, and all but one of those previously in employment had returned to their former work. Most patients (94%) would undergo ICU treatment again if necessary.

Timely and appropriate assessment and management within the ED impacts patient outcomes including in-hospital mortality and length of stay (LOS). Within the ED, several processes facilitate timely recognition of the need for intensive care unit (ICU) admission. This study describes characteristics and outcomes for patient presentations admitted to ICU from ED, categorised by Australasian Triage Score (ATS), ICU admission time and ICU admission source. A retrospective observational cohort study with linked health data of adult ICU admissions during 2012. Outcomes measured included: ED, ICU and hospital LOS, time to see ED clinician, ICU readmission and ICU and hospital mortality rates. In total, 423 ICU admissions occurred within 24 h of ED arrival; 395 were admitted directly to ICU; 28 were admitted to the ward before ICU admission. ATS 3/4/5 patients comprised 26.7% of ICU admissions and experienced longer waits to be seen, longer total ED LOS, shorter ICU LOS and a lower mortality rate than those triaged ATS 1/2. Compared to ICU admissions during business hours, admissions outside hours did not differ significantly for any outcome measured. Patients admitted to the ward before ICU experienced longer waits to be seen and longer ED LOS. Most patients are appropriately identified in ED as requiring ICU admission, although around one in four were triaged ATS 3/4. Patients admitted to the ward first tended to have poorer outcomes than those directly admitted to ICU. Factors predicting the need for ICU admission should be identified to support clinical decision-making.

The purpose of this study is to evaluate factors associated with decisions to reject patients from medical intensive care unit (MICU) admission and assess the outcome of these patients. Prospective, observational cohort study. Large tertiary referral, teaching hospital. Consecutive patients evaluated for MICU admission but not admitted. Patient characteristics and demographics, location of evaluation, clinical and laboratory data, major organ system dysfunction, 48-hr patient status, and 6-month mortality. A total of 1,302 patients were admitted to the MICU, 353 patients were evaluated for the MICU but were not admitted, and 324 patients were used in analysis. Mean age was 68.6 +/- 17.1 yrs, and 57.7% were women. Hospice care was instituted during or immediately after evaluation in 8.3% (n = 27) of cases. MICU care was declined by the patient in 5.2% (n = 17) of evaluations. The mean Acute Physiology and Chronic Health Evaluation (APACHE) II score was 17.4 +/- 6.0. Factors associated with death at 6 months included age, APACHE II score, entering hospice, and patient choice to decline care. Of the patients considered too well to benefit, 9% were admitted to the MICU within 48 hrs and 35.5% died within 6 months; however, no deaths occurred within 48 hrs. Patients who are considered for critical care are at very high risk of mortality within 6 months. Given that no deaths occurred within 48 hrs and that only 9% needed intensive care unit admission within 48 hrs, the house staff's decision process is safe at this one institution.

ObjectiveHyponatremia and hypernatremia are common electrolyte disorders. Few studies to date have focused on patients presenting to the emergency department (ED) with sodium (Na) disorders. Our objective was to determine the incidence and outcomes of hyponatremia and hypernatremia in ED patients.MethodsThis study was a retrospective, single-center review of electronic medical records at an academic suburban ED with approximately 100,000 annual visits. Subjects included consecutive adult ED patients with Na levels measured while in the ED in 2019. Demographic, clinical, and laboratory data were recorded. Outcomes data, including hospital admission, intensive care unit (ICU) admission, mortality, and length of stay (LOS), were recorded. The primary outcome was inhospital death. Secondary outcomes were hospital admission, ICU admission, ED LOS, and hospital LOS. Univariable and multivariable linear and logistic regression analyses were performed to explore the association of candidate predictor variables and outcomes.ResultsNa was measured in 57,427 adults (54%) among a total of 106,764 assessed ED visits in 2019. The mean±standard deviation age was 54±21 years, and 47% of participants were male. Mild, moderate, and severe hyponatremia and hypernatremia occurred in 8%, 2%, and 0.1% of patients and 1%, 0.2%, and <0.1% of patients, respectively. Hospital and ICU admission and mortality rates increased as Na levels increased or decreased further from normal. Adjusted odds ratio (95% confidence interval) values for hospital mortality were 2.39 (1.97–2.90) for mild hyponatremia, 3.93 (2.95–5.24) for moderate hyponatremia, 6.98 (2.87–16.40) for severe hyponatremia, 3.65 (2.47–5.40) for mild hypernatremia, 8.58 (4.92–14.94) for moderate hypernatremia, and 55.75 (11.37–273.30) for severe hypernatremia. Hypernatremia was associated with a greater risk of death than hyponatremia. Patients with hyponatremia and hypernatremia had increased LOS times compared to those with normal Na levels.ConclusionHyponatremia and hypernatremia were associated with greater rates of hospital admission, ICU admission, mortality, and prolonged hospital LOS times.

In Brief We investigate the outcome of lung cancer patients admitted to the medical intensive care unit (MICU) and examine potential predictors of mortality. A retrospective quality assurance study of primary lung cancer patients admitted to the MICUs at 2 local tertiary care university hospitals from January 1, 1994 to May 12, 2004 was conducted (n = 69). Data on demographics and tumor-related data were collected using the hospital records of all patients admitted to MICU with a diagnosis of lung cancer. Statistical analysis was performed to determine the prognostic factors associated with MICU and hospital mortality as well as MICU and hospital lengths of stay. The MICU mortality rate was 50.7% and the mean MICU length of stay was 3.0 days. Multivariate analysis determined that Acute Physiology and Chronic Health Evaluation (APACHE II) scores, Therapeutic Intervention Scoring System scores, and non-small cell lung cancer were significantly associated with MICU mortality, whereas age and APACHE II scores were associated with hospital mortality. Respiratory failure upon admission and use of a Swan Ganz monitor were predictors of increased MICU length of stay, and chemotherapy administration and mechanical ventilation predicted increased hospital length of stay. The 50.7% mortality rate for patients with previously or newly diagnosed primary lung cancer admitted to the MICU is lower than the previously reported mortality rate of 66.7% for a period of 1986. Although the mortality remains high, an improvement over the previous decade has occurred and is comparable to that for patients requiring MICU admission for other indications. There is a high mortality rate associated with medical intensive care unit (MICU) admission for patients with previously or newly diagnosed primary lung cancer. However, it has improved over the previous decade and is comparable to that among patients requiring MICU admission for other illness such as pneumonia, adult respiratory distress syndrome, sepsis, and cardiopulmonary resuscitation.

Background: Critically ill Emergency Department (ED) patients may benefit from timely triage to the Intensive Care Unit (ICU), as there is a “window of critical opportunity.” Several authors have investigated the relationship between delayed ED-to-ICU transfer and poor outcome. However, covariates often obscured this relationship. Objectives: To examine the impact of direct (DICU-P) versus indirect (IDICU-P) ED-to-ICU admission on patient outcomes and assess whether delay in critical care provision is a contributing factor. To compare survival for up to 12 months. Design and Setting: Single-center retrospective cohort study. Methods: Unplanned medical ED-to-ICU admissions between 2015 and 2019 were classified as DICU-P or IDICU-P (hospital ward stay &lt; 48 hours). Groups were divided according to Length Of Stay (LOS) as ICU-LOS &lt; 48h or ICU-LOS ≥ 48h. A timeline analysis was conducted. Propensity Score Matching (PSM) was used to account for bias (age, gender, SAPS II, APACHE IV admission diagnosis) and achieve pseudo-randomization. Main outcomes: LOS and mortality, both for ICU and in-hospital, and 1 year mortality. Results: IDICU-P patients had higher mortality rates (ICU, p = 0.006; post-ICU, p = 0.0005; hospital, p &lt; 0.0001), longer LOS (hospital, p = 0.007), but were older (p &lt;0.0001) and sicker (SAPS II, p = 0.0002). After PSM, a trend for higher mortality rates (hospital, p = 0.030; early in ICU (LOS-ICU &lt; 48h), p = 0.034) and longer LOS (hospital, p = 0.030) persisted, with elderly patients being responsible for this disparity. ICU mortality was equal after 48 hours, while post-ICU and long-term mortality up to 30 days and 12 months were higher in IDICU-P (both p &lt; 0.0001; after PSM, p = 0.018 and p = 0.009, respectively). COPD exacerbations, pneumonia, and congestive heart failure showed higher hospital mortality in IDICU-P. Conclusion: Indirect ICU admission of ED patients in need of critical care was associated with higher mortality and longer LOS but also with higher age and severity of illness. Mortality was consistently higher for up to 12 months after ICU admission and showed no catch-up mortality. After correcting for biases with PSM, the significance often diminished; however, a general trend was confirmed. This finding highlights the importance of correct triage in the ED.

Background: Early identification of patients colonized with MDROs can help healthcare facilities improve infection control and treatment. We evaluated whether a model previously validated to predict carbapenem-resistant Enterobacterales (CRE) carriage on hospital admission (area under the curve [AUC]=0.86, Lin et al. OFID 2019) would generalize to predict a patient’s likelihood of CRE and non-CRE MDRO colonization at the time of medical intensive care unit (MICU) admission. Methods: We analyzed data collected previously in a retrospective observational cohort study of patients admitted to Rush University Medical Center’s MICU from 1/2017-1/2018 and screened within the first two days for rectal MDRO colonization. Organisms of interest included CRE, carbapenem-resistant Pseudomonas aeruginosa (CRPA), vancomycin-resistant enterococci (VRE), and third-generation cephalosporin-resistant Enterobacterales (3GCR-E). Methicillin-resistant Staphylococcus aureus (MRSA) nasal colonization at admission was determined by routine clinical screening. Each patient’s first MICU admission during the study period was linked to Illinois’ hospital discharge database and assigned a CRE colonization risk probability using the existing model. Model covariates were age, and during the prior 365 days, number of short-term acute care hospitalizations (STACH) and mean STACH length of stay, number of long-term acute care hospitalizations (LTACH) and mean LTACH length of stay, prior hospital admission with an ICD-10 diagnosis code indicating bacterial infection, and current admission to LTACH. Predictive value of the model was evaluated by receiver operating characteristic (ROC) curves. Results: We analyzed 1237 MICU admissions. MDRO admission prevalence is shown in the Table. The model performed well to predict carriage of healthcare-associated MDROs, including CRE, CRPA, composite CR-MDROs (CRE &amp; CRPA), and VRE. However, the model performed poorly for MDROs with known community reservoirs, including 3GCR-E and MRSA (Table). In general, MDRO admission prevalence increased in parallel with predicted CRE colonization risk (Figure). The number needed to screen (NNS) to detect one healthcare-associated MDRO carrier was inversely related to the CRE colonization risk score. For example, NNS in the total cohort compared to those with CRE risk score of &gt;0.5% was: CRE 111 vs 32 patients, CRPA 333 vs 42 patients, composite CR-MDRO 83 vs 18 patients, and VRE 12 vs 4 patients. However, higher CRE risk score cutoff was inversely related to screening sensitivity. Conclusion: A prediction model using prior healthcare exposure information successfully discriminated patients likely to harbor healthcare-associated MDROs upon MICU admission. Prediction scores generated by a public-health accessible database could be used to target screening/isolation or enact protective measures for high-risk patients.

To determine how medical intensive care unit (MICU) admission decisions are made at U.S. academic MICUs and to learn how these practices compare with the recommendations of the Society of Critical Care Medicine and the American Thoracic Society. A 22-question Web-based survey. University health sciences centers. MICU directors at academic U.S. medical centers offering fellowship programs in pulmonary/critical care or critical care medicine. The survey was sent by E-mail to 146 academic MICU directors. Survey response rate was 83% (121/146). MICU attendings were the primary decision-maker for patient admission to the intensive care unit (ICU) in 40% of the MICUs during daytime hours, in 36% on weekends, and in 27% overnight. Critical care fellows and resident house staff were often responsible for making MICU admission decisions, particularly overnight and on weekends. Of the MICUs surveyed, 88% had written admission guidelines, although only 25% used them on a regular basis. Written restriction guidelines were present in only 21% of these ICUs, although 53% of MICU directors believed that MICUs should have standardized criteria for restricting admission to the ICU. Finally, 29% of MICUs surveyed did not authorize MICU attendings to deny ICU admission on a case-by-case basis for futile or inadvisable care, thereby maintaining an open door policy for ICU admission. Significant practice variability exists across U.S. academic MICUs regarding how decisions are made to admit patients to the ICU. The majority of academic MICUs in the United States do not strictly employ ICU admission and restriction guidelines, as recommended by the Society of Critical Care Medicine and the American Thoracic Society.

Background/Aims:Patients with liver cirrhosis (LC) are at risk for critical events leading to Intensive Care Unit (ICU) admission. Coagulopathy in cirrhotic patients is complex and can lead to bleeding as well as thrombosis. The aim of this study was to investigate bleeding complications in critically ill patients with LC admitted to a medical ICU (MICU).Methods:All adult patients admitted to our MICU with a diagnosis of LC from January 2006 to December 2012 were retrospectively assessed. Patients with major bleeding at the time of MICU admission were excluded from the analysis.Results:A total of 205 patients were included in the analysis. The median patient age was 62 years, and 69.3% of the patients were male. The most common reason for MICU admission was acute respiratory failure (45.4%), followed by sepsis (27.3%). Major bleeding occurred in 25 patients (12.2%). The gastrointestinal tract was the most common site of bleeding (64%), followed by the respiratory tract (20%). In a multivariate analysis, a low platelet count at MICU admission (odds ratio [OR], 0.98; 95% confidence interval [CI], 0.97 to 0.99) and sepsis (OR, 8.35; 95% CI, 1.04 to 67.05) were independent risk factors for major bleeding. The ICU fatality rate was significantly greater among patients with major bleeding (84.0% vs. 58.9%, respectively; p = 0.015).Conclusions:Major bleeding occurred in 12.2% of critically ill cirrhotic patients admitted to the MICU. A low platelet count at MICU admission and sepsis were associated with an increased risk of major bleeding during the MICU stay. Further study is needed to better understand hemostasis in critically ill patients with LC.