Weapons Retrieved After the Implementation of Emergency Department Metal Detection.

BACKGROUND: Several high-profile violent incidents have occurred within emergency departments (EDs). There are no recent studies reporting the effectiveness of ED metal detection. OBJECTIVE: Our aim was to assess the effect of metal detection on ED weapons retrieval. METHODS: In September 2011, a metal detector was installed at the entrance of an urban, high-volume teaching hospital ED. The security company recorded retrieved firearms, knives, chemical sprays, and other weapons. We performed qualitative analysis of weapons retrieval data for a 26-month period. RESULTS: A total of 5877 weapons were retrieved, an average of 218 per month: 268 firearms, 4842 knives, 512 chemical sprays, and 275 other weapons, such as brass knuckles, stun guns, and box cutters. The number of retrieved guns decreased from 2012 to 2013 (from 182 to 47), despite an increase in metal detection hours from 8 h per day to 16 h per day. The number of retrieved knives, chemical sprays, and other weapons increased. Recovered knives increased from 2062 in 2012 to 2222 in 2013, chemical sprays increased from 170 to 305, and other weapons increased from 51 to 201. CONCLUSIONS: A large number of weapons were retrieved after the initiation of metal detection in the ED entrance. Increasing hours of metal detection increased the number of retrieved knives, chemical sprays, and other weapons. Retrieved firearms decreased after increasing metal detection hours. Metal detection in the ED entrance is effective in reducing entrance of weapons into the ED. Metal detectors may offer additional benefit in reducing attempts to enter with firearms.

Impaired cardiometabolic responses to glucagon-like peptide 1 in obesity and type 2 diabetes mellitus.

Glucagon-like peptide 1 (GLP-1) has insulin-like effects on myocardial glucose uptake which may contribute to its beneficial effects in the setting of myocardial ischemia. Whether these effects are different in the setting of obesity or type 2 diabetes (T2DM) requires investigation. We examined the cardiometabolic actions of GLP-1 (7-36) in lean and obese/T2DM humans, and in lean and obese Ossabaw swine. GLP-1 significantly augmented myocardial glucose uptake under resting conditions in lean humans, but this effect was impaired in T2DM. This observation was confirmed and extended in swine, where GLP-1 effects to augment myocardial glucose uptake during exercise were seen in lean but not in obese swine. GLP-1 did not increase myocardial oxygen consumption or blood flow in humans or in swine. Impaired myocardial responsiveness to GLP-1 in obesity was not associated with any apparent alterations in myocardial or coronary GLP1-R expression. No evidence for GLP-1-mediated activation of cAMP/PKA or AMPK signaling in lean or obese hearts was observed. GLP-1 treatment augmented p38-MAPK activity in lean, but not obese cardiac tissue. Taken together, these data provide novel evidence indicating that the cardiometabolic effects of GLP-1 are attenuated in obesity and T2DM, via mechanisms that may involve impaired p38-MAPK signaling.

Simple modeling allows prediction of steady-state glucose disposal rate from early data in hyperinsulinemic glucose clamps.

After a constant insulin infusion is initiated, determination of steady-state conditions for glucose infusion rates (GIR) typically requires >or=3 h. The glucose infusion follows a simple time-dependent rise, reaching a plateau at steady state. We hypothesized that nonlinear fitting of abbreviated data sets consisting of only the early portion of the clamp study can provide accurate estimates of steady-state GIR. Data sets from two independent laboratories were used to develop and validate this approach. Accuracy of the predicted steady-state GDR was assessed using regression analysis and Altman-Bland plots, and precision was compared by applying a calibration model. In the development data set (n = 88 glucose clamp studies), fitting the full data set with a simple monoexponential model predicted reference GDR values with good accuracy (difference between the 2 methods -0.37 mg x kg(-1) x min(-1)) and precision [root mean square error (RMSE) = 1.11], validating the modeling procedure. Fitting data from the first 180 or 120 min predicted final GDRs with comparable accuracy but with progressively reduced precision [fitGDR-180 RMSE = 1.27 (P = NS vs. fitGDR-full); fitGDR-120 RMSE = 1.56 (P < 0.001)]. Similar results were obtained with the validation data set (n = 183 glucose clamp studies), confirming the generalizability of this approach. The modeling approach also derives kinetic parameters that are not available from standard approaches to clamp data analysis. We conclude that fitting a monoexponential curve to abbreviated clamp data produces steady-state GDR values that accurately predict the GDR values obtained from the full data sets, albeit with reduced precision. This approach may help reduce the resources required for undertaking clamp studies.

Metabolic improvements following Roux-en-Y surgery assessed by solid meal test in subjects with short duration type 2 diabetes.

BACKGROUND: Glucose homeostasis improves within days following Roux-en-Y gastric bypass (RYGB) surgery. The dynamic metabolic response to caloric intake following RYGB has been assessed using liquid mixed meal tolerance tests (MMTT). Few studies have evaluated the glycemic and hormonal response to a solid mixed meal in subjects with diabetes prior to, and within the first month following RYGB. METHODS: Seventeen women with type 2 diabetes of less than 5 years duration participated. Fasting measures of glucose homeostasis, lipids and gut hormones were obtained pre- and post-surgery. MMTT utilizing a solid 4 oz chocolate pudding performed pre-, 2 and 4 weeks post-surgery. Metabolic response to 4 and 2 oz MMTT assessed in five diabetic subjects not undergoing surgery. RESULTS: Significant reductions in fasting glucose and insulin at 3 days, and in fasting betatrophin, triglycerides and total cholesterol at 2 weeks post-surgery. Hepatic insulin clearance was greater at 3 days post-surgery. Subjects exhibited less hunger and greater feelings of fullness and satisfaction during the MMTT while consuming 52.9 ± 6.5% and 51.0 ± 6.5% of the meal at 2 and 4 weeks post-surgery respectively. At 2 weeks post-surgery, glucose and insulin response to MMTT were improved, with greater GLP-1 and PYY secretion. Improved response to solid MMTT not replicated by consumption of smaller pudding volume in diabetic non-surgical subjects. CONCLUSIONS: With a test meal of size and composition representative of the routine diet of post-RYGB subjects, improved glycemic and gut hormone responses occur which cannot be replicated by reducing the size of the MMTT in diabetic subjects not undergoing surgery. TRIAL REGISTRATION: Clinical Trials.gov Identifier: NCT00957957 August 11, 2009.

[13C]glucose breath testing provides a noninvasive measure of insulin resistance: calibration analyses against clamp studies.

BACKGROUND: Exhaled (13)CO2 following ingestion of [(13)C]glucose with a standard oral glucose tolerance load correlates with blood glucose values but is determined by tissue glucose uptake. Therefore exhaled (13)CO2 may also be a surrogate measure of the whole-body glucose disposal rate (GDR) measured by the gold standard hyperinsulinemic euglycemic clamp. SUBJECTS AND METHODS: Subjects from across the glycemia range were studied on 2 consecutive days under fasting conditions. On Day 1, a 75-g oral glucose load spiked with [(13)C]glucose was administered. On Day 2, a hyperinsulinemic euglycemic clamp was performed. Correlations between breath parameters and clamp-derived GDR were evaluated, and calibration analyses were performed to evaluate the precision of breath parameter predictions of clamp measures. RESULTS: Correlations of breath parameters with GDR and GDR per kilogram of fat-free mass (GDRffm) ranged from 0.54 to 0.61 and 0.54 to 0.66, respectively (all P<0.001). In calibration analyses the root mean square error for breath parameters predicting GDR and GDRffm ranged from 2.32 to 2.46 and from 3.23 to 3.51, respectively. Cross-validation prediction error (CVPE) estimates were 2.35-2.51 (GDR) and 3.29-3.57 (GDRffm). Prediction precision of breath enrichment at 180 min predicting GDR (CVPE=2.35) was superior to that for inverse insulin (2.68) and the Matsuda Index (2.51) but inferior to that for the log of homeostasis model assessment (2.21) and Quantitative Insulin Sensitivity Check Index (2.29) (all P<10(-5)). Similar patterns were seen for predictions of GDRffm. CONCLUSIONS: (13)CO2 appearance in exhaled breath following a standard oral glucose load with added [(13)C]glucose provides a valid surrogate index of clamp-derived measures of whole-body insulin resistance, with good accuracy and precision. This noninvasive breath test-based approach can provide a useful measure of whole-body insulin resistance in physiologic and epidemiologic studies.

Reporting for duty during mass casualty events: a survey of factors influencing emergency medicine physicians.

BACKGROUND: Academic medical centers play a major role in disaster response, and residents frequently serve as key resources in these situations. Studies examining health care professionals' willingness to report for duty in mass casualty situations have varying response rates, and studies of emergency medicine (EM) residents' willingness to report for duty in disaster events and factors that affect these responses are lacking. OBJECTIVE: We sought to determine EM resident and faculty willingness to report for duty during 4 disaster scenarios (natural, explosive, nuclear, and communicable), to identify factors that affect willingness to work, and to assess opinions regarding disciplinary action for physicians unwilling to work in a disaster situation. METHODS: We surveyed residents and faculty at 7 US teaching institutions with accredited EM residency programs between April and November 2010. RESULTS: A total of 229 faculty and 259 residents responded (overall response rate, 75.4%). Willingness to report for duty ranged from 54.1% for faculty in a natural disaster to 94.2% for residents in a nonnuclear explosive disaster. The 3 most important factors influencing disaster response were concern for the safety of the family, belief in the physician's duty to provide care, and availability of protective equipment. Faculty and residents recommended minimal or no disciplinary action for individuals unwilling to work, except in the infectious disease scenario. CONCLUSIONS: Most EM residents and faculty indicated they would report for duty. Residents and faculty responses were similar in all but 1 scenario. Disciplinary action for individuals unwilling to work generally was not recommended.

Emergency department physician internet use during clinical encounters.

OBJECTIVE: This study explored the Internet log files from emergency department workstations to determine search patterns, compared them to discharge diagnoses, and the emergency medicine curriculum as a way to quantify physician search behaviors. METHODS: The log files from the computers from January 2006 to March 2010 were mapped to the EM curriculum and compared to discharge diagnoses to explore search terms and website usage by physicians and students. RESULTS: Physicians in the ED averaged 1.35 searches per patient encounter using Google.com and UpToDate.com 83.9% of the time. The most common searches were for drug information (23.1%) by all provider types. The majority of the websites utilized were in the third tier evidence level for evidence-based medicine (EBM). CONCLUSION: We have shown a need for a readily accessible drug knowledge base within the EMR for decision support as well as easier access to first and second tier EBM evidence.

Mobile personal health records: an evaluation of features and functionality.

PURPOSE: To evaluate stand-alone mobile personal health record (mPHR) applications for the three leading cellular phone platforms (iOS, BlackBerry, and Android), assessing each for content, function, security, and marketing characteristics. METHODS: Nineteen stand-alone mPHR applications (8 for iOS, 5 for BlackBerry, and 6 for Android) were identified and evaluated. Main criteria used to include mPHRs were: operating standalone on a mobile platform; not requiring external connectivity; and covering a wide range of health topics. Selected mPHRs were analyzed considering product characteristics, data elements, and application features. We also reviewed additional features such as marketing tactics. RESULTS: Within and between the different mobile platforms attributes for the mPHR were highly variable. None of the mPHRs contained all attributes included in our evaluation. The top four mPHRs contained 13 of the 14 features omitting only the in-case-of emergency feature. Surprisingly, seven mPHRs lacked basic security measures as important as password protection. The mPHRs were relatively inexpensive: ranging from no cost to $9.99. The mPHR application cost varied in some instances based on whether it supported single or multiple users. Ten mPHRs supported multiple user profiles. Notably, eight mPHRs used scare tactics as marketing strategy. CONCLUSION: mPHR is an emerging health care technology. The majority of existing mPHR apps is limited by at least one of the attributes considered for this study; however, as the mobile market continues to expand it is likely that more comprehensive mPHRs will be developed in the near future. New advancements in mobile technology can be utilized to enhance mPHRs by long-term patient empowerment features. Marketing strategies for mPHRs should target specific subpopulations and avoid scare tactics.

Intra-individual variability of CO2 breath isotope enrichment compared to blood glucose in the oral glucose tolerance test.

BACKGROUND: Glucose tolerance can be assessed noninvasively using (13)C-labeled glucose added to a standard oral glucose load, by measuring isotope-enriched CO(2) in exhaled air. In addition to the clear advantage of the noninvasive measurements, this approach may be of value in overcoming the high variability in blood glucose determination. METHODS: We compared within-individual variability of breath CO(2) isotope enrichment with that for blood glucose in a 75-g oral glucose tolerance test (OGTT) by adding 150 mg of d-[(13)C]glucose ((13)C 99%) to a standard 75-g glucose load. Measurements of whole blood glucose (by glucose oxidase) and breath isotope enrichment (by isotope ratio mass spectrometry) were made every 30 min for 3 h. Subjects underwent three repeat tests over a 3-week period. Values for variability of breath isotope enrichment at 3 h (∂‰180) and of area under the curve for enrichment to 180 min (AUC180) were compared with variability of the 2-h OGTT blood glucose. RESULTS: Breath test-derived measures exhibited lower within-subject variability than the 2-h OGTT glucose. The coefficient of variation for ∂‰180 was 7.4 ± 3.9% (mean ± SD), for AUC180 was 9.4 ± 6.3%, and for 2-h OGTT blood glucose was 13 ± 7.1% (P = 0.005 comparing ∂‰180 versus 2-h blood glucose; P = 0.061 comparing AUC180 versus 2-h blood glucose; P = 0.03 comparing ∂‰180 versus AUC180). CONCLUSIONS: Breath test-derived measurements of glucose handling had lower within-subject variability versus the standard 2-h blood glucose reading used in clinical practice. These findings support further development of this noninvasive method for evaluating glucose tolerance.