Variation in the accuracy of ultrasound for the detection of intubation by endotracheal tube size.

INTRODUCTION: Rapid and accurate confirmation of endotracheal tube (ETT) placement is a fundamental step in definitive airway management. Multiple techniques with different limitations have been reported. Recent studies have evaluated the accuracy, time to performance, and physician confidence for ultrasound in both cadaveric models and live patients. However, no study to date has measured the effect of ETT size. Our study is the first to measure the accuracy of ultrasound for ETT confirmation based on ETT size. METHODS: This study was performed in a cadaver lab using three different cadavers chosen to represent varying neck circumferences. Cadavers were intubated in a random sequence with respect to both the location of intubation (i.e., tracheal vs esophageal) and sizes of ETT. Three ETT sizes were utilized: 6.0-, 7.0-, and 8.0-mm. Blinded sonographers assessed the location of the ETT using the static technique. Accuracy of sonographer identification, time to identification, and operator confidence were assessed. RESULTS: 453 assessments were performed. Overall, ultrasound was 99.1% (95% CI 97.8% to 99.7%) accurate in identification of correct location of intubation. The mean time to placement was 6.45 s (95% CI 5.62 to 7.28). The mean operator confidence level was 4.72/5.0 (95% CI 4.65 to 4.78). There was no significant difference between ETT sizes with respect to any of the outcomes. CONCLUSION: The diagnostic accuracy of ultrasound for ETT confirmation did not vary with the use of different ETT sizes. Further studies are needed to determine if the accuracy would change with more novice providers or in specific patient populations.

Medicaid beneficiaries who continue to use the ED: a focus on the Illinois Medical Home Network.

OBJECTIVES: Frequent, nonurgent emergency department use continues to plague the American health care system through ineffective disease management and unnecessary costs. In 2012, the Illinois Medical Home Network (MHN) was implemented to, in part, reduce an overreliance on already stressed emergency departments through better care coordination and access to primary care. The purpose of this study is to characterize MHN patients and compare them with non-MHN patients for a preliminary understanding of MHN patients who visit the emergency department. Variables of interest include (1) frequency of emergency department use during the previous 12 months, (2) demographic characteristics, (3) acuity, (4) disposition, and (5) comorbidities. METHODS: We performed a retrospective data analysis of all emergency department visits at a large, urban academic medical center in 2013. Binary logistic regression analyses and analysis of variance were used to analyze data. RESULTS: Medical Home Network patients visited the emergency department more often than did non-MHN patients. Medical Home Network patients were more likely to be African American, Hispanic/Latino, female, and minors when compared with non-MHN patients. Greater proportions of MHN patients visiting the emergency department had asthma diagnoses. Medical Home Network patients possessed higher acuity but were more likely to be discharged from the emergency department compared with non-MHN patients. CONCLUSIONS: This research may assist with developing and evaluating intervention strategies targeting the reduction of health disparities through decreased use of emergency department services in these traditionally underserved populations.

Training to Enhance the Knowledge and Comfort Level of Emergency Physicians Providing Care for Survivors of Sexual Assault.

INTRODUCTION: Although sexual assault (SA) is a substantial public health problem, emergency physicians do not universally undergo continuing education on caring for survivors of SA. The goal of this intervention was to develop a training course that improves physician understanding of trauma-sensitive care in the emergency department and equips physicians with knowledge of the specialized care required to treat SA survivors. METHODS: Thirty-nine attending emergency physicians underwent a 4-hour training on trauma-sensitive care for survivors of SA and completed prequestionnaires and postquestionnaires to assess training efficacy in improving knowledge base and comfort level providing care. The training consisted of didactic portions focused on the neurobiology of trauma, communication skills, and forensic evidence collection techniques and a simulation portion with standardized patients to practice evidence collection and a trauma-sensitive anogenital examination. RESULTS: Physicians demonstrated significantly improved performance (P < .05) on 12 of 18 knowledge-based questions. Physicians also showed significant improvement (P < .001) on 11 of 11 Likert scale questions that assessed comfort level communicating with survivors and using trauma-sensitive techniques during medical and forensic examinations. CONCLUSION: Physicians who received the training course demonstrated a significantly improved knowledge base and comfort level treating survivors of SA. Considering the prevalence of sexual violence, it is imperative that physicians are appropriately educated on trauma-sensitive care.

Comparison of Two Simulated Procedural Assessment Formats in Attending Emergency Physicians.

Background Emergency physicians must be proficient at inserting central venous catheters and performing lumbar punctures to provide life-saving therapies to critically ill patients. An assessment of procedural skill is rarely performed after an emergency physician has completed residency. Current board certification exams for emergency medicine focus only on verbal descriptions of procedures to assess skill. We compared two methods of procedural skill assessment, simulated task trainer and verbal description, to assess the range of skill in central venous catheter insertion and lumbar punctures of emergency attending physicians at a large, urban, academic tertiary care institution. Methodology This is a prospective cohort study of simulated internal jugular central venous catheter insertion and lumbar puncture skill by emergency attending physicians on a task trainer versus verbal description. A total of 17 attending emergency medicine physicians consented to participate in the study during a yearly procedural skills session. For each subject, two expert raters used previously published checklists to assess procedural skill and give a global rating score. Results More checklist items were performed correctly on the task trainer than on verbal assessment for central line (task trainer = 78.4% ± 8.32% and verbal = 68.26% ± 8.9%) and lumbar puncture (task trainer = 85.57% ± 7.6% and verbal = 73.53%4 ± 10.34%) procedures, both with significant differences (p < 0.001). Of the participants, 82% strongly preferred the task trainer format to the verbal description assessment format. Conclusions The higher scores on the simulated format compared to the current verbal format imply that a shift towards simulated procedural assessment techniques may benefit examinees. More work is needed to determine if objective checklist scores for practicing attending emergency physicians correlate with subjective expert assessments of their procedural skills.

A Comparison of Insulin Doses for the Treatment of Hyperkalemia in Patients with Renal Insufficiency.

STUDY OBJECTIVE: To compare the safety and efficacy of 5 units versus 10 units of insulin for the treatment of hyperkalemia in patients with renal insufficiency. DESIGN: Retrospective cohort study. SETTING: Large academic medical center emergency department. PATIENTS: Between March 1, 2008, and February 29, 2016, 675 patients met the inclusion criteria of age 18 years and older, serum potassium greater than 5 mEq/L, renal insufficiency, 5 units or 10 units of intravenous regular insulin administered in the emergency department, and blood glucose documented within 5 hours after insulin administration. Of these patients, 133 (19.7%) received 5 units of insulin and 542 (80.3%) received 10 units of insulin. MEASUREMENTS AND RESULTS: The primary outcome was incidence of hypoglycemia (blood glucose < 70 mg/dl). Secondary outcomes were incidence of severe hypoglycemia (blood glucose < 40 mg/dl) and change in serum potassium after insulin therapy. Hypoglycemia occurred in 26 of 133 patients receiving 5 units of insulin (19.5%) and in 155 of 542 patients receiving 10 units (28.6%) (difference = -9.1%, 95% confidence interval [CI] -16.8% to -1.3%). Severe hypoglycemia occurred in 4 of 133 patients (3.0%) and 37 of 542 patients (6.8%) receiving insulin 5 units and 10 units, respectively (difference = -3.8%, 95% CI -7.4% to 0%). Change in serum potassium was similar between groups (-1.0 ± 0.8 vs -1.0 ± 0.7 mEq/L, difference = 0, 95% CI -0.1 to 0.1). CONCLUSION: In patients with renal insufficiency and hyperkalemia, 5 units of insulin reduced serum potassium to the same extent as 10 units of insulin but with a lower rate of hypoglycemia. Further controlled studies are needed to confirm these findings.

Patient-recognition data-mining model for BCG-plus interferon immunotherapy bladder cancer treatment.

Bladder cancer is the fifth most common malignant disease in the United States with an annual incidence of around 63,210 new cases and 13,180 deaths. The cost for providing care for patients with bladder cancer disease is high. Bladder cancer treatment options such as immunotherapy, chemotherapy, radiation therapy, transurethral resection, and cystectomy, are used with varying success rates. In this research, data from a nationwide bacillus Calmette-Gue rin (BCG) plus interferon-alpha (IFN-alpha) immunotherapy clinical trial was considered. Data mining algorithms were used to analyze the effectiveness of immunotherapy treatment and to understand the prominent parameters and their interactions. The extracted knowledge was used to build a patient recognition model for prediction of treatment outcomes. The data was analyzed to understand the impact of various parameters on the treatment outcome. A list of significant parameters such as cumulative tumor size, presence of residual disease, stages of prior bladder cancer, current state of bladder cancer, and the presence of current bladder cancer (T1) is provided. The decision-making approach outlined in the paper supplemented with additional knowledge bases will lead to a comprehensive analytical road map of the BCG/IFN-alpha immunotherapy treatment. It will provide individualized guidelines for each stage of the treatment as well as measure the success of the treatment.

Clinical predictors for laboratory-confirmed influenza infections: exploring case definitions for influenza-like illness.

OBJECTIVE: To identify clinical signs and symptoms (ie, "terms") that accurately predict laboratory-confirmed influenza cases and thereafter generate and evaluate various influenza-like illness (ILI) case definitions for detecting influenza. A secondary objective explored whether surveillance of data beyond the chief complaint improves the accuracy of predicting influenza. DESIGN: Retrospective, cross-sectional study. SETTING: Large urban academic medical center hospital. PARTICIPANTS: A total of 1,581 emergency department (ED) patients who received a nasopharyngeal swab followed by rRT-PCR testing between August 30, 2009, and January 2, 2010, and between November 28, 2010, and March 26, 2011. METHODS: An electronic surveillance system (GUARDIAN) scanned the entire electronic medical record (EMR) and identified cases containing 29 clinical terms relevant to influenza. Analyses were conducted using logistic regressions, diagnostic odds ratio (DOR), sensitivity, and specificity. RESULTS: The best predictive model for identifying influenza for all ages consisted of cough (DOR=5.87), fever (DOR=4.49), rhinorrhea (DOR=1.98), and myalgias (DOR=1.44). The 3 best case definitions that included combinations of some or all of these 4 symptoms had comparable performance (ie, sensitivity=89%-92% and specificity=38%-44%). For children <5 years of age, the addition of rhinorrhea to the fever and cough case definition achieved a better balance between sensitivity (85%) and specificity (47%). For the fever and cough ILI case definition, using the entire EMR, GUARDIAN identified 37.1% more influenza cases than it did using only the chief complaint data. CONCLUSIONS: A simplified case definition of fever and cough may be suitable for implementation for all ages, while inclusion of rhinorrhea may further improve influenza detection for the 0-4-year-old age group. Finally, ILI surveillance based on the entire EMR is recommended.

Data mining and genetic algorithm based gene/SNP selection.

OBJECTIVE: Genomic studies provide large volumes of data with the number of single nucleotide polymorphisms (SNPs) ranging into thousands. The analysis of SNPs permits determining relationships between genotypic and phenotypic information as well as the identification of SNPs related to a disease. The growing wealth of information and advances in biology call for the development of approaches for discovery of new knowledge. One such area is the identification of gene/SNP patterns impacting cure/drug development for various diseases. METHODS: A new approach for predicting drug effectiveness is presented. The approach is based on data mining and genetic algorithms. A global search mechanism, weighted decision tree, decision-tree-based wrapper, a correlation-based heuristic, and the identification of intersecting feature sets are employed for selecting significant genes. RESULTS: The feature selection approach has resulted in 85% reduction of number of features. The relative increase in cross-validation accuracy and specificity for the significant gene/SNP set was 10% and 3.2%, respectively. CONCLUSION: The feature selection approach was successfully applied to data sets for drug and placebo subjects. The number of features has been significantly reduced while the quality of knowledge was enhanced. The feature set intersection approach provided the most significant genes/SNPs. The results reported in the paper discuss associations among SNPs resulting in patient-specific treatment protocols.

Comparing the accuracy of syndrome surveillance systems in detecting influenza-like illness: GUARDIAN vs. RODS vs. electronic medical record reports.

BACKGROUND: A highly sensitive real-time syndrome surveillance system is critical to detect, monitor, and control infectious disease outbreaks, such as influenza. Direct comparisons of diagnostic accuracy of various surveillance systems are scarce. OBJECTIVE: To statistically compare sensitivity and specificity of multiple proprietary and open source syndrome surveillance systems to detect influenza-like illness (ILI). METHODS: A retrospective, cross-sectional study was conducted utilizing data from 1122 patients seen during November 1­7, 2009 in the emergency department of a single urban academic medical center. The study compared the Geographic Utilization of Artificial Intelligence in Real-time for Disease Identification and Alert Notification (GUARDIAN) system to the Complaint Coder (CoCo) of the Real-time Outbreak Detection System (RODS), the Symptom Coder (SyCo) of RODS, and to a standardized report generated via a proprietary electronic medical record (EMR) system. Sensitivity, specificity, and accuracy of each classifier's ability to identify ILI cases were calculated and compared to a manual review by a board-certified emergency physician. Chi-square and McNemar's tests were used to evaluate the statistical difference between the various surveillance systems.ResultsThe performance of GUARDIAN in detecting ILI in terms of sensitivity, specificity, and accuracy, as compared to a physician chart review, was 95.5%, 97.6%, and 97.1%, respectively. The EMR-generated reports were the next best system at identifying disease activity with a sensitivity, specificity, and accuracy of 36.7%, 99.3%, and 83.2%, respectively. RODS (CoCo and SyCo) had similar sensitivity (35.3%) but slightly different specificity (CoCo = 98.9%; SyCo = 99.3%). The GUARDIAN surveillance system with its multiple data sources performed significantly better compared to CoCo (χ2 = 130.6, p < 0.05), SyCo (χ2 = 125.2, p < 0.05), and EMR-based reports (χ2 = 121.3, p < 0.05). In addition, similar significant improvements in the accuracy (>12%) and sensitivity (>47%) were observed for GUARDIAN with only chief complaint data as compared to RODS (CoCo and SyCo) and EMR-based reports. CONCLUSION: In our study population, the GUARDIAN surveillance system, with its ability to utilize multiple data sources from patient encounters and real-time automaticity, demonstrated a more robust performance when compared to standard EMR-based reports and the RODS systems in detecting ILI. More large-scale studies are needed to validate the study findings, and to compare the performance of GUARDIAN in detecting other infectious diseases.

The impact of alternative diagnoses on the utility of influenza-like illness case definition to detect the 2009 H1N1 pandemic.

OBJECTIVE: To investigate the impact of excluding cases with alternative diagnoses on the sensitivity and specificity of the Centers for Disease Control and Prevention's (CDC) influenza-like illness (ILI) case definition in detecting the 2009 H1N1 influenza, using Geographic Utilization of Artificial Intelligence in Real-Time for Disease Identification and Alert Notification, a disease surveillance system. DESIGN: Retrospective cross-sectional study design. SETTING: Emergency department of an urban tertiary care academic medical center. PATIENTS: 1,233 ED cases, which were tested for respiratory viruses from September 5, 2009 to May 5, 2010. MAIN OUTCOME MEASURE: The main outcome measures were positive predictive value, negative predictive value, sensitivity, specificity, and accuracy of the ILI case definition (both including and excluding alternative diagnoses) to detect H1N1. RESULTS: There was a significant decrease in sensitivity (chi2 = 9.09, p < 0.001) and significant improvement in specificity (chi2 = 179, p < 0.001), after excluding cases with alternative diagnoses. CONCLUSION: When early detection of an influenza epidemic is of prime importance, pursuing alternative diagnoses as part of CDC's ILI case definition may not be warranted for public health reporting due to the significant decrease in sensitivity, in addition to the resources required for detecting these alternative diagnoses.