Prehospital advanced cardiac life support by EMT with a smartphone-based direct medical control for nursing home cardiac arrest.

OBJECTIVE: To compare the survival to discharge between nursing home (NH) cardiac arrest patients receiving smartphone-based advanced cardiac life support (SALS) and basic life support (BLS). METHODS: The SALS registry includes data on cardiac arrest from 7 urban and suburban areas in Korea between July 2015 and December 2016. We include adult patients (>18) with out-of-hospital cardiac arrest (OHCA) of medical causes and EMS attended and dispatched in. SALS is an advanced field resuscitation including drug administration by paramedics with video communication-based direct medical direction. Prehospital resuscitation method was key exposure (SALS, BLS). The primary outcome was survival to discharge. RESULTS: A total of 616 consecutive out-of-hospital cardiopulmonary resuscitation cases in NHs were recorded, and 199 (32.3%) underwent SALS. Among the NH arrest patients, the survival discharge rate was a little higher in the SALS group than the BLS group (4.0% vs 1.7%), but the difference was not significant (P = 0.078). Survival discharge with good neurologic outcome rates was 0.5% in the SALS group and 1.0% in the BLS group (P = 0.119). On the other hand, in the non-NH group, all outcome measures significantly improved when SALS was performed compared to BLS alone (survival discharge rate: 10.0% vs 7.3%, P = 0.001; good neurologic outcome: 6.8% vs 3.3%, P < 0.001). CONCLUSIONS: As a result of providing prehospital ACLS with direct medical intervention through remote video calls to paramedics, the survival to discharge rate and that with good neurologic outcome (CPC 1, 2) of non-NH patients significantly improved, however those of NH patients were not significantly increased.

Emergency Department Crowding Disparity: a Nationwide Cross-Sectional Study.

In this study, we evaluated national differences in emergency department (ED) crowding to identify factors significantly associated with crowding in institutes and communities across Korea. This was a cross-sectional nationwide observational study using data abstracted from the National Emergency Department Information System (NEDIS). We calculated mean occupancy rates to quantify ED crowding status and divided EDs into three groups according to their occupancy rates (cutoffs: 0.5 and 1.0). Factors potentially related to ED crowding were collected from the NEDIS. We performed a multivariate regression analysis to identify variables significantly associated with ED crowding. A total of 120 EDs were included in the final analysis. Of these, 73 were categorized as 'low crowded' (LC, occupancy rate < 0.50), 37 as 'middle crowded' (MC, 0.50 ≤ occupancy rate < 1.00), 10 EDs as 'high crowded' (HC, 1.00 ≤ occupancy rate). The mean ED occupancy rate varied widely, from 0.06 to 2.33. The median value was 0.39 with interquartile ranges (IQRs) from 0.20 to 0.71. Multivariate analysis revealed that after adjustment, ED crowding was significantly associated with the number of visits, percentage of patients referred, number of nurses, and ED disposition. This nationwide study observed significant variety in ED crowding. Several input, throughput, and output factors were associated with crowding.

International Classification of Diseases 10th edition-based disability adjusted life years for measuring of burden of specific injury.

OBJECTIVE: We aimed to develop an International Classification of Diseases (ICD) 10th edition injury code-based disability-adjusted life year (DALY) to measure the burden of specific injuries. METHODS: Three independent panels used novel methods to score disability weights (DWs) of 130 indicator codes sampled from 1,284 ICD injury codes. The DWs were interpolated into the remaining injury codes (n=1,154) to estimate DWs for all ICD injury codes. The reliability of the estimated DWs was evaluated using the test-retest method. We calculated ICD-DALYs for individual injury episodes using the DWs from the Korean National Hospital Discharge Injury Survey (HDIS, n=23,160 of 2004) database and compared them with DALY based on a global burden of disease study (GBD-DALY) regarding validation, correlation, and agreement for 32 injury categories. RESULTS: Using 130 ICD 10th edition injury indicator codes, three panels determined the DWs using the highest reliability (person trade-off 1, Spearman r=0.724, 0.788, and 0.875 for the three panel groups). The test-retest results for the reliability were excellent (Spearman r=0.932) (P<0.001). The HDIS database revealed injury burden (years) as follows: GBD-DALY (138,548), GBD-years of life disabled (130,481), and GBD-years of life lost (8,117) versus ICD-DALY (262,246), ICD-years of life disabled (255,710), and ICD-years of life lost (6,537), respectively. Spearman's correlation coefficient of the DALYs between the two methods was 0.759 (P<0.001), and the Bland-Altman test displayed an acceptable agreement, with exception of two categories among 32 injury groups. CONCLUSION: The ICD-DALY was developed to calculate the burden of injury for all injury codes and was validated with the GBD-DALY. The ICD-DALY was higher than the GBD-DALY but showed acceptable agreement.

The Long-Term Effect of an Independent Capacity Protocol on Emergency Department Length of Stay: A before and after Study.

PURPOSE: In this study, we determined the long-term effects of the Independent Capacity Protocol (ICP), in which the emergency department (ED) is temporarily used to stabilize patients, followed by transfer of patients to other facilities when necessary, on crowding metrics. MATERIALS AND METHODS: A before and after study design was used to determine the effects of the ICP on patient outcomes in an academic, urban, tertiary care hospital. The ICP was introduced on July 1, 2007 and the before period included patients presenting to the ED from January 1, 2005 to June 31, 2007. The after period began three months after implementing the ICP from October 1, 2007 to December 31, 2010. The main outcomes were the ED length of stay (LOS) and the total hospital LOS of admitted patients. The mean number of monthly ED visits and the rate of inter-facility transfers between emergency departments were also determined. A piecewise regression analysis, according to observation time intervals, was used to determine the effect of the ICP on the outcomes. RESULTS: During the study period the number of ED visits significantly increased. The intercept for overall ED LOS after intervention from the before-period decreased from 8.51 to 7.98 hours [difference 0.52, 95% confidence interval (CI): 0.04 to 1.01] (p=0.03), and the slope decreased from -0.0110 to -0.0179 hour/week (difference 0.0069, 95% CI: 0.0012 to 0.0125) (p=0.02). CONCLUSION: Implementation of the ICP was associated with a sustainable reduction in ED LOS and time to admission over a six-year period.

Triage-based resource allocation and clinical treatment protocol on outcome and length of stay in the emergency department.

OBJECTIVE: The present study aimed to determine the relationship between the triage-based resource allocation and clinical treatment (TRACT) protocol and mortality and length of stay (LOS) in ED. METHODS: This before-and-after study was conducted in an adult, tertiary, teaching hospital ED from August 2008 to July 2012. Patients who were younger than 18 years of age, who were dead on arrival and whose triage information was not available were excluded. TRACT was implemented in August 2010, and the Emergency Severity Index (ESI) was used for triage. Primary and secondary outcomes were ED mortality and ED LOS. Multivariate logistic regression models for ED mortality and multivariable general linear models on the ED LOS were used to compare the before- and after-intervention periods. RESULTS: For the 155 563 visits over study period, the ED mortality rate was 0.2%, and the ED LOS was 4.6 h (median). The adjusted odds ratios (95% confidence intervals [CIs]) of the TRACT protocol on ED mortality were 0.69 (0.54-0.88) for total patients, 0.42 (0.30-0.59) for ESI 1, 1.04 (0.66-1.65) for ESI 2 and 1.45 (0.76-2.75) for ESI 3 group. The adjusted coefficients (95% CIs) of the TRACT on the ED LOS were -88.1 (-96.9 ∼ -79.2) min for all patients, -44.9 (-72.0 ∼ -17.9) min for ESI level 2 and -104.3 (-114.7 ∼ -94.0) min for ESI level 3. CONCLUSIONS: The TRACT protocol decreased the ED mortality in ESI 1 group and reduced the ED LOS in ESI levels 2 and 3 groups.

Generalized peritonitis arising from small bowel metastasis in a lung cancer patient.

Symptomatic gastrointestinal metastasis from lung malignancy is rarely reported. In this report, we present a case of lung adenocarcinoma with acute abdominal pain from small bowel perforation. The patient underwent small bowel resection and the final diagnosis was metastatic adenocarcinoma originating from lung. Immunohistochemistry was positive for thyroid transcription factor-1 and cytokeratin 7 (CK7), and negative for CK20. We present this rare case and briefly review the literature.

The association between crowding and mortality in admitted pediatric patients from mixed adult-pediatric emergency departments in Korea.

OBJECTIVE: We aimed to investigate the effect of crowding on the hospital mortality of pediatric patients from adult-pediatric mixed emergency departments (EDs). METHODS: We used the National Emergency Department Information System database, which included demographic, clinical, diagnostic, and procedural information with all emergency patients visiting to 116 EDs from Korea since 2004. We enrolled EDs with mean length of stay of more than 6 hours. Study period was from January 2006 to December 2008. Pediatric patients younger than 15 years admitted from these EDs were study targets. We calculated the mean patient volume (mean number of patients in the ED) over 8-hour shift for each hospital. When the volume reached the highest quartile, the period was considered as crowded. Patients who came during the overcrowded period were defined as the crowded group. We performed a Kaplan-Meier analysis, and hazard ratio and 95% confidence intervals (95% CIs) were calculated using a Cox proportional hazards regression model. RESULTS: A total of 34 EDs and 125,031 admitted pediatric patients were included; 74,152 (59.3%) were male, and the mean age was 3.84 (95% CI, 3.82-3.86) years; 35,924 (28.7%) were determined as the crowded group. The 30-day mortality rates were 0.4% and 0.3% (P = 0.063) for the crowded group and for the noncrowded group, respectively. The hazard ratio for hospital mortality of the crowded group was 1.230 (95% CI, 1.019-1.558). CONCLUSIONS: The ED crowding was associated with increased hazard for hospital mortality for pediatric patients in mixed EDs.

Comparison of clinical performance of cranial computed tomography rules in patients with minor head injury: a multicenter prospective study.

OBJECTIVES: The objective was to compare the predictive performance of three previously derived cranial computed tomography (CT) rules, the Canadian CT Head Rule (CCHR), the New Orleans Criteria (NOC), and National Emergency X-Ray Utilization Study (NEXUS)-II, for detecting clinically important traumatic brain injury (TBI) and the need for neurosurgical intervention in patients with blunt head trauma. METHODS: This was a prospective, multicenter, observational cohort study of patients with blunt head trauma from June 2008 to May 2009. The historical and physical examination components of the CCHR, NOC, and NEXUS-II were documented on a data collection form and the performance of each of the three rules was compared. Patient eligibility for each specific rule was defined exactly as previously described for each specific rule. To compare the three decision rules in terms of sensitivity and specificity, an intersection cohort satisfying inclusion criteria of all three decision rules was derived. The primary outcome was clinically important TBI, and the secondary outcome was neurosurgical intervention. The sensitivity and specificity of each rule were calculated with 95% confidence intervals (95% CIs). We also calculated the potential reduction rate in cranial CT scan utilization realized by theoretical implementation of these rules. RESULTS: A total of 7,131 patients were prospectively enrolled, including 692 (9.7%) with clinical TBI. Among the enrolled population, patients eligible for CCHR, NOC, and NEXUS-II totaled 696, 677, and 2,951, respectively. The sensitivity and specificity for clinically important brain injury were as follows: CCHR, 112 of 144 (79.2%, 95% CI = 70.8% to 86.0%) and 228 of 552 (41.3%, 95% CI = 37.3% to 45.5%); NOC, 91 of 99 (91.9%, 95% CI = 84.7% to 96.5%) and 125 of 558 (22.4%, 95% CI = 19.0% to 26.1%); and NEXUS-II, 511 of 576 (88.7%, 95% CI = 85.8% to 91.2%) and 1,104 of 2,375 (46.5%, 95% CI = 44.5% to 48.5%). The sensitivity and specificity for neurosurgical intervention were as follows: CCHR, 100% (95% CI = 59.0% to 100.0%) and 38.3% (95% CI = 34.5% to 41.9%); NOC, 100% (95% CI = 54.1% to 100.0%) and 20.4% (95% CI = 17.4% to 23.7%); and NEXUS-II, 95.1% (95% CI = 90.1% to 98.0%) and 41.4% (95% CI = 39.5% to 43.2%). Among the enrolled population, intersection patients of CCHR, NOC, and NEXUS-II totaled 588. The sensitivity and specificity for clinically important brain injury were as follows: CCHR, 73 of 98 (74.5%, 95% CI = 64.7% to 82.8%) and 201 of 490 (41.0%, 95% CI = 36.6% to 45.5%); NOC, 89 of 98 (90.8%, 95% CI = 83.3% to 95.7%) and 112 of 490 (22.9%, 95% CI = 19.2% to 26.8%); and NEXUS-II, 82 of 98 (83.7%, 95% CI = 74.8% to 90.4%) and 172 of 490 (35.1%, 95% CI = 30.9% to 39.5%). The potential reduction in emergency CT scans by using these decision rules would have been higher with the NEXUS-II rule (39.6%, 95% CI = 37.8% to 41.4%) than with the CCHR rule (27.0%, 95% CI = 23.7% to 30.3%) or NOC rule (20.2%, 95% CI = 17.2% to 23.3%). CONCLUSIONS: For clinically important TBI, the three cranial CT decision rules had much lower sensitivities in this population than the original published studies, while the specificities were comparable to those studies. The sensitivities for neurosurgical intervention, however, were comparable to the original studies. The NEXUS-II rule showed the highest reduction rate for CT scans compared to other rules, but failed to identify all undergoing neurosurgical intervention for their original inclusion cohort.