Novel coronavirus 2019 (COVID-19): Emergence and implications for emergency care.

A novel coronavirus (COVID-19) causing acute illness with severe symptoms has been isolated in Wuhan, Hubei Province, China. Since its emergence, cases have been found worldwide, reminiscent of severe acute respiratory syndrome and Middle East respiratory syndrome outbreaks over the past 2 decades. Current understanding of this epidemic remains limited due to its rapid development and available data. While occurrence outside mainland China remains low, the likelihood of increasing cases globally continues to rise. Given this potential, it is imperative that emergency clinicians understand the preliminary data behind the dynamics of this disease, recognize possible presentations of patients, and understand proposed treatment modalities.

Evaluation of a population mobility, mortality, and birth surveillance system in South Kivu, Democratic Republic of the Congo.

Prospective, community-based surveillance systems for measuring birth, death, and population movement rates may have advantages over the 'gold-standard' retrospective household survey in humanitarian contexts. A community-based, monthly surveillance system was established in South Kivu, Democratic Republic of the Congo, in partnership with a local implementing partner and the national ministry of health. Data were collected on the occurrence of births, deaths, arrivals, and departures over the course of one year, and a retrospective survey was conducted at the end of the period to validate the information. Discrepancies between the two approaches were resolved by a third visit to the households with discordant records. The study found that the surveillance system was superior in terms of its specificity and sensitivity in measuring crude mortality and birth rates as compared to the survey, demonstrating the method's potential to measure accurately important population-level health metrics in an insecure setting in a timely, community-acceptable manner.

Association between intensive care unit transfer delay and hospital mortality: A multicenter investigation.

BACKGROUND: Previous research investigating the impact of delayed intensive care unit (ICU) transfer on outcomes has utilized subjective criteria for defining critical illness. OBJECTIVE: To investigate the impact of delayed ICU transfer using the electronic Cardiac Arrest Risk Triage (eCART) score, a previously published early warning score, as an objective marker of critical illness. DESIGN: Observational cohort study. SETTING: Medical-surgical wards at 5 hospitals between November 2008 and January 2013. PATIENTS: Ward patients. INTERVENTION: None. MEASUREMENTS: eCART scores were calculated for all patients. The threshold with a specificity of 95% for ICU transfer (eCART ≥ 60) denoted critical illness. A logistic regression model adjusting for age, sex, and surgical status was used to calculate the association between time to ICU transfer from first critical eCART value and in-hospital mortality. RESULTS: A total of 3789 patients met the critical eCART threshold before ICU transfer, and the median time to ICU transfer was 5.4 hours. Delayed transfer (>6 hours) occurred in 46% of patients (n = 1734) and was associated with increased mortality compared to patients transferred early (33.2% vs 24.5%, P < 0.001). Each 1-hour increase in delay was associated with an adjusted 3% increase in odds of mortality (P < 0.001). In patients who survived to discharge, delayed transfer was associated with longer hospital length of stay (median 13 vs 11 days, P < 0.001). CONCLUSIONS: Delayed ICU transfer is associated with increased hospital length of stay and mortality. Use of an evidence-based early warning score, such as eCART, could lead to timely ICU transfer and reduced preventable death. Journal of Hospital Medicine 2016;11:757-762. © 2016 Society of Hospital Medicine.

Real-Time Risk Prediction on the Wards: A Feasibility Study.

OBJECTIVE: Failure to detect clinical deterioration in the hospital is common and associated with poor patient outcomes and increased healthcare costs. Our objective was to evaluate the feasibility and accuracy of real-time risk stratification using the electronic Cardiac Arrest Risk Triage score, an electronic health record-based early warning score. DESIGN: We conducted a prospective black-box validation study. Data were transmitted via HL7 feed in real time to an integration engine and database server wherein the scores were calculated and stored without visualization for clinical providers. The high-risk threshold was set a priori. Timing and sensitivity of electronic Cardiac Arrest Risk Triage score activation were compared with standard-of-care Rapid Response Team activation for patients who experienced a ward cardiac arrest or ICU transfer. SETTING: Three general care wards at an academic medical center. PATIENTS: A total of 3,889 adult inpatients. MEASUREMENTS AND MAIN RESULTS: The system generated 5,925 segments during 5,751 admissions. The area under the receiver operating characteristic curve for electronic Cardiac Arrest Risk Triage score was 0.88 for cardiac arrest and 0.80 for ICU transfer, consistent with previously published derivation results. During the study period, eight of 10 patients with a cardiac arrest had high-risk electronic Cardiac Arrest Risk Triage scores, whereas the Rapid Response Team was activated on two of these patients (p < 0.05). Furthermore, electronic Cardiac Arrest Risk Triage score identified 52% (n = 201) of the ICU transfers compared with 34% (n = 129) by the current system (p < 0.001). Patients met the high-risk electronic Cardiac Arrest Risk Triage score threshold a median of 30 hours prior to cardiac arrest or ICU transfer versus 1.7 hours for standard Rapid Response Team activation. CONCLUSIONS: Electronic Cardiac Arrest Risk Triage score identified significantly more cardiac arrests and ICU transfers than standard Rapid Response Team activation and did so many hours in advance.

Effectiveness of Interventions to Teach Metered-Dose and Diskus Inhaler Techniques. A Randomized Trial.

RATIONALE: The most effective approach to teaching respiratory inhaler technique is unknown. OBJECTIVES: To evaluate the relative effects of two different educational strategies (teach-to-goal instruction vs. brief verbal instruction) in adults hospitalized with asthma or chronic obstructive pulmonary disease. METHODS: We conducted a randomized clinical trial at two urban academic hospitals. Participants received teach-to-goal or brief instruction in the hospital and were followed for 90 days after discharge. Inhaler technique was assessed using standardized checklists; misuse was defined as 75% steps or less correct (≤9 of 12 steps). The primary outcome was metered-dose inhaler misuse 30 days postdischarge. Secondary outcomes included Diskus technique; acute care events at 30 and 90 days; and associations with adherence, health literacy, site, and patient risk (near-fatal event). MEASUREMENTS AND MAIN RESULTS: Of 120 participants, 73% were female and 90% were African American. Before education, metered-dose inhaler misuse was similarly common in the teach-to-goal and brief intervention groups (92% vs. 84%, respectively; P = 0.2). Metered-dose inhaler misuse was not significantly less common in the teach-to-goal group than in the brief instruction group at 30 days (54% vs. 70%, respectively; P = 0.11), but it was immediately after education (11% vs. 60%, respectively; P < 0.001) and at 90 days (48% vs. 76%, respectively; P = 0.003). Similar results were found with the Diskus device. Participants did not differ across education groups with regard to rescue metered-dose inhaler use or Diskus device adherence at 30 or 90 days. Acute care events were less common among teach-to-goal participants than brief intervention participants at 30 days (17% vs. 36%, respectively; P = 0.02), but not at 90 days (34% vs. 38%, respectively; P = 0.6). Participants with low health literacy receiving teach-to-goal instruction were less likely than brief instruction participants to report acute care events within 30 days (15% vs. 70%, respectively; P = 0.008). No differences existed by site or patient risk at 30 or 90 days (P > 0.05). CONCLUSIONS: In adults hospitalized with asthma or chronic obstructive pulmonary disease, in-hospital teach-to-goal instruction in inhaler technique did not reduce inhaler misuse at 30 days, but it was associated with fewer acute care events within 30 days after discharge. Inpatient treatment-to-goal education may be an important first step toward improving self-management and health outcomes for hospitalized patients with asthma or chronic obstructive pulmonary disease, especially among patients with lower levels of health literacy. Clinical trial registered with www.clinicaltrials.gov (NCT01426581).

Comparison of mental-status scales for predicting mortality on the general wards.

BACKGROUND: Altered mental status is a significant predictor of mortality in inpatients. Several scales exist to characterize mental status, including the AVPU (Alert, responds to Voice, responds to Pain, Unresponsive) scale, which is used in many early-warning scores in the general-ward setting. The use of the Glasgow Coma Scale (GCS) and Richmond Agitation Sedation Scale (RASS) is not well established in this population. OBJECTIVE: To compare the accuracies of AVPU, GCS, and RASS for predicting inpatient mortality. DESIGN: Retrospective cohort study. SETTING: Single, urban, academic medical center. PARTICIPANTS: Adult inpatients on the general wards. MEASUREMENTS: Nurses recorded GCS and RASS on consecutive adult hospitalizations. AVPU was extracted from the eye subscale of the GCS. We compared the accuracies of each scale for predicting in-hospital mortality within 24 hours of a mental-status observation using area under the receiver operating characteristic curves (AUC). RESULTS: There were 295,974 paired observations of GCS and RASS obtained from 26,873 admissions; 417 (1.6%) resulted in in-hospital death. GCS and RASS more accurately predicted mortality than AVPU (AUC 0.80 and 0.82, respectively, vs 0.73; P < 0.001 for both comparisons). Simultaneous use of GCS and RASS produced an AUC of 0.85 (95% confidence interval: 0.82-0.87, P < 0.001 when compared to all 3 scales). CONCLUSIONS: In ward patients, both GCS and RASS were significantly more accurate predictors of mortality than AVPU. In addition, combining GCS and RASS was more accurate than any scale alone. Routine tracking of GCS and/or RASS on general wards may improve the accuracy of detecting clinical deterioration.

Incidence and Prognostic Value of the Systemic Inflammatory Response Syndrome and Organ Dysfunctions in Ward Patients.

RATIONALE: Tools that screen inpatients for sepsis use the systemic inflammatory response syndrome (SIRS) criteria and organ dysfunctions, but most studies of these criteria were performed in intensive care unit or emergency room populations. OBJECTIVES: To determine the incidence and prognostic value of SIRS and organ dysfunctions in a multicenter dataset of hospitalized ward patients. METHODS: Hospitalized ward patients at five hospitals from November 2008 to January 2013 were included. SIRS and organ system dysfunctions were defined using 2001 International Consensus criteria. Patient characteristics and in-hospital mortality were compared among patients meeting two or more SIRS criteria and by the presence or absence of organ system dysfunction. MEASUREMENTS AND MAIN RESULTS: A total of 269,951 patients were included in the study, after excluding 48 patients with missing discharge status. Forty-seven percent (n = 125,841) of the included patients met two or more SIRS criteria at least once during their ward stay. On ward admission, 39,105 (14.5%) patients met two or more SIRS criteria, and patients presenting with SIRS had higher in-hospital mortality than those without SIRS (4.3% vs. 1.2%; P < 0.001). Fourteen percent of patients (n = 36,767) had at least one organ dysfunction at ward admission, and those presenting with organ dysfunction had increased mortality compared with those without organ dysfunction (5.3% vs. 1.1%; P < 0.001). CONCLUSIONS: Almost half of patients hospitalized on the wards developed SIRS at least once during their ward stay. Our findings suggest that screening ward patients using SIRS criteria for identifying those with sepsis would be impractical.

Obstructive sleep apnea and adverse outcomes in surgical and nonsurgical patients on the wards.

BACKGROUND: Obstructive sleep apnea (OSA) has been associated with clinical deterioration in postoperative patients and patients hospitalized with pneumonia. Paradoxically, OSA has also been associated with decreased risk of inpatient mortality in these same populations. OBJECTIVES: To investigate the association between OSA and in-hospital mortality in a large cohort of surgical and nonsurgical ward patients. DESIGN: Observational cohort study. SETTING: A 500-bed academic tertiary care hospital in the United States. PATIENTS: A total of 93,676 ward admissions from 53,150 unique adult patients between November 1, 2008 and October 1, 2013. INTERVENTION: None. MEASUREMENTS: OSA diagnoses and comorbidities were identified by International Classification of Diseases, Ninth Revision, Clinical Modification codes. Logistic regression was used to control for patient characteristics, location prior to ward admission, and admission severity of illness. The primary outcome was in-hospital death. Secondary outcomes included rapid response team (RRT) activation, intensive care unit (ICU) transfer, intubation, and cardiac arrest on the wards. MAIN RESULTS: OSA was identified in 5,625 (10.6%) patients. Patients with OSA were more likely to be older, male, and obese, and had higher rates of comorbidities. OSA patients had more frequent RRT activations (1.5% vs 1.1%) and ICU transfers (8% vs 7%) than controls (P < 0.001 for both comparisons), but a lower inpatient mortality rate (1.1% vs 1.4%, P < 0.05). OSA was associated with decreased adjusted odds for ICU transfer (odds ratio [OR]: 0.91 [0.84-0.99]), cardiac arrest (OR: 0.72 [0.55-0.95]), and in-hospital mortality (OR: 0.70 [0.58-0.85]). CONCLUSIONS: After adjustment for important confounders, OSA was not associated with clinical deterioration on the wards and was associated with significantly decreased in-hospital mortality.