Mean HEART scores for hospitalized chest pain patients are higher in more experienced providers.

BACKGROUND: The HEART score has been validated as a predictor of major adverse cardiac events (MACEs) in emergency department patients complaining of chest pain. Our objective was to determine the extent of physician variation in the HEART score of admitted patients stratified by years of experience. METHODS: We performed a retrospective medical record review at an academic tertiary care emergency department to determine HEART score, outcome of hospitalization, and 30-day MACE. Electrocardiograms were graded by consensus between 3 physicians. We used analysis of variance to determine the difference in mean HEART scores between providers, Fisher's exact test to determine difference in MACE by duration of training, and logistic regression to determine predictors of low-risk admission (HEART score≤3). RESULTS: The average mean HEART score for 19 full-time physicians was 4.41 (SD 0.43). Individually, there was no difference in mean scores (P=.070), but physicians with 10-15 years of experience had significantly higher mean scores than those with 0-5 years of experience (mean HEART score 4.65 vs 3.93, P=.012). Those with 10-15 years of experience also had a significantly higher proportion of MACE in their admitted cohort (15.3%, P=.002). CONCLUSIONS: More experienced providers admitted higher-risk patients and were more likely to admit patients who would experience a MACE. More research is needed to determine whether adding the HEART score for clinical decision making can be used prospectively to increase sensitivity for admitting patients at high risk for MACE and to decrease admissions for chest pain in lower-risk patients by less experienced providers.

Injury patterns in recreational alpine skiing and snowboarding at a mountainside clinic.

OBJECTIVE: The purpose of this study was to examine the demographic and injury characteristics of skiing and snowboarding at a mountainside clinic. METHODS: Prospectively collected data of all acutely injured patients at the Big Sky Medical Clinic at the base of Big Sky Ski Area in the Northern Rocky Mountains were reviewed. A total of 1593 patients filled out the study questionnaire during the 1995-2000 and 2009-2010 ski seasons. Injury patterns by sport, demographics, and skill level were analyzed and compared over time. RESULTS: The mean overall age was 32.9 ± 14.9 years, 35.4 ± 15.2 for skiers and 23.6 ± 9.5 for snowboarders (P < .01). The knee accounted for 43% of all skiing injuries, the shoulder 12%, and the thumb 8%. The wrist accounted for 18% of all snowboarding injuries, the shoulders 14%, and the ankle and knee each 13%. Beginner snowboarders were more likely to present with wrist injuries compared with intermediate (P = .04) and advanced snowboarders (P < .01). Demographic and injury patterns did not significantly change over time. CONCLUSIONS: At this mountainside clinic, the most frequent ski injuries are to the knee and shoulder, regardless of skill level. Beginning snowboarders most frequently injure their wrists whereas shoulder injuries remain frequent at all skill levels. Knowledge of these injury patterns may help manage patients who present for medical care in the prehospital setting as well as help in designing targeted educational tools for injury prevention.

Uniformed Services and the Field Hospital Experience During Coronovirus Disease 2019 (SARS-CoV-2) Pandemic: Open to Closure in 30 Days With 1,100 Patients: The Javits New York Medical Station.

INTRODUCTION: The surge of SARS-CoV-2-virus infected (COVID-19) patients presenting to New York City (NYC) hospitals quickly overwhelmed and outnumbered the available acute care and intensive care resources in NYC in early March 2020. Upon the arrival of military medical assets to the Javits Convention Center in NYC, the planned mission to care for non-SARS-CoV-2 patients was immediately changed to manage patients with (SARS-CoV-2)COVID-19 and their comorbid conditions.Healthcare professionals from every branch of the uniformed services, augmented by state and local resources, staffed the Javits New York Medical Station (JNYMS) from April 2020. METHODS: The data review reported aggregated summary statistics and participant observations collected by N.Y. State and U.S. military officials. RESULTS: During the 28 days of patient intake at the JNYMS, 1,095 SARS-CoV-2-positive patients were transferred from NYC hospitals to the JNYMS. At its peak, the JNYMS accepted 119 patients in a single day, had a maximum census of 453, and had a peak intensive care unit census of 35. The median length of stay was 4.6 days (interquartile range: 3.1-6.9 days). A total of 103 patients were transferred back to local hospitals, and there were 6 deaths, with an overall mortality rate of 0.6% (95% CI, 0.3-1.2). DISCUSSION AND CONCLUSIONS: This is the first report of the care provided at the JNYMS. Within 2 weeks, this multi-agency effort was able to mobilize to care for over 1,000 SARS-CoV-2 patients with varying degrees of illness in a 1-month period. This was the largest field hospital mobilization in the U.S. medical history in response to a non-wartime pandemic. Its success with huge patient throughput including disposition and low mortality relieved critical overcrowding and supply deficiencies throughout NYC hospitals. The downstream impact likely saved additional hundreds of lives and reduced stress on the system during this healthcare crisis.

Thoracic impedance vs chest radiograph to diagnose acute pulmonary edema in the ED.

OBJECTIVE: We sought to investigate the relationship between thoracic impedance (Zo) and pulmonary edema on chest radiography in patients presenting to the emergency department (ED) with signs and symptoms of acute decompensated heart failure (ADHF). DESIGN: This was a prospective, blinded convenience sample of patients with signs and symptoms of ADHF who underwent measurement of Zo with concomitant chest radiography. Attending physicians blinded to the Zo values interpreted the radiographs, categorizing the severity of pulmonary edema as normal (NL), cephalization (CZ), interstitial edema (IE), or alveolar edema (AE). Intergroup comparisons were analyzed with a 2-way analysis of variance (ANOVA), with P < .05 considered statistically significant and reported using 95% confidence intervals (CIs). SETTING: We enrolled patients (> or =18 years) presenting to a tertiary care medical center ED with signs and symptoms consistent with ADHF. RESULTS: A total of 203 patients were enrolled, with 27 (14%) excluded because of coexisting pulmonary diseases. The mean Zo values were inversely related to the 4 varying degrees of radiographic pulmonary vascular congestion as follows: NL, 25.6 (95% CI, 22.9-28.3); CZ, 20.8 (95% CI, 18.1-23.5); IE, 18.0 (95% CI, 16.3-19.7); and with AE, 14.5 (95% CI, 12.8-16.2) (ANOVA, P < .04). A Zo less than 19.0 ohms had 90% sensitivity and 94% specificity (likelihood ratio [LR], - 0.1; LR + 15) for identifying radiographic findings consistent with pulmonary edema. Females had an increased mean Zo value compared to males (P < .03). CONCLUSION: The Zo value obtained via thoracic bioimpedance monitoring accurately predicts the presence and severity of pulmonary edema found on initial chest radiograph in patients suspected of ADHF.

Incidence of Knee Injuries on Artificial Turf Versus Natural Grass in National Collegiate Athletic Association American Football: 2004-2005 Through 2013-2014 Seasons.

BACKGROUND: The use of artificial turf in American football continues to grow in popularity, and the effect of these playing surfaces on athletic injuries remains controversial. Knee injuries account for a significant portion of injuries in the National Collegiate Athletic Association (NCAA) football league; however, the effect of artificial surfaces on knee injuries remains ill-defined. HYPOTHESIS: There is no difference in the rate or mechanism of knee ligament and meniscal injuries during NCAA football events on natural grass and artificial turf playing surfaces. STUDY DESIGN: Descriptive epidemiology study. METHODS: The NCAA Injury Surveillance System Men's Football Injury and Exposure Data Sets for the 2004-2005 through 2013-2014 seasons were analyzed to determine the incidence of anterior cruciate ligament (ACL), posterior cruciate ligament (PCL), medial collateral ligament (MCL), medial meniscus, and lateral meniscal tear injuries. Injury rates were calculated per 10,000 athlete exposures, and rate ratios (RRs) were used to compare injury rates during practices and competitions on natural grass and artificial turf in NCAA football as a whole and by competition level (Divisions I, Divisions II and III). Mechanisms of injury were calculated for each injury on natural grass and artificial turf surfaces. RESULTS: A total of 3,009,205 athlete exposures and 2460 knee injuries were reported from 2004 to 2014: 1389 MCL, 522 ACL, 269 lateral meniscal, 164 medial meniscal, and 116 PCL. Athletes experienced all knee injuries at a significantly higher rate when participating in competitions as compared with practices. Athletes participating in competitions on artificial turf experienced PCL injuries at 2.94 times the rate as those playing on grass (RR = 2.94; 95% CI, 1.61-5.68). When stratified by competition level, Division I athletes participating in competitions on artificial turf experienced PCL injuries at 2.99 times the rate as those playing on grass (RR = 2.99; 95% CI, 1.39-6.99), and athletes in lower NCAA divisions (II and III) experienced ACL injuries at 1.63 times the rate (RR = 1.63; 95% CI, 1.10-2.45) and PCL injuries at 3.13 times the rate (RR = 3.13; 95% CI, 1.14-10.69) on artificial turf as compared with grass. There was no statistically significant difference in the rate of MCL, medial meniscal, or lateral meniscal injuries on artificial turf versus grass when stratified by event type or level of NCAA competition. No difference was found in the mechanisms of knee injuries on natural grass and artificial turf. CONCLUSION: Artificial turf is an important risk factor for specific knee ligament injuries in NCAA football. Injury rates for PCL tears were significantly increased during competitions played on artificial turf as compared with natural grass. Lower NCAA divisions (II and III) also showed higher rates of ACL injuries during competitions on artificial turf versus natural grass.