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Dive into the research topics where Jason A. Hoppe is active.

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Featured researches published by Jason A. Hoppe.


The New England Journal of Medicine | 2014

An Outbreak of Exposure to a Novel Synthetic Cannabinoid

Andrew A. Monte; Alvin C. Bronstein; Dazhe Cao; Kennon Heard; Jason A. Hoppe; Christopher O. Hoyte; Janetta L. Iwanicki; Eric J. Lavonas

Young men in Colorado presented with altered mental status and seizures after ingestion of a synthetic cannabinoid known as “black mamba.” Medical toxicologists and public health and law enforcement officials identified 263 cases of exposure to this novel substance.


American Journal of Emergency Medicine | 2009

A systematic review of cardiovascular effects after atypical antipsychotic medication overdose

Hock Heck Tan; Jason A. Hoppe; Kennon Heard

As the use of atypical antipsychotic medications (AAPMs) increases, the number of overdoses continues to grow. Cardiovascular toxicity was common with older psychiatric medications but seems uncommon with AAPM. We conducted a systematic literature review to describe the cardiovascular effects reported after overdose of 5 common AAPM: aripiprazole, olanzapine, quetiapine, risperidone, and ziprasidone. We included case reports and case series describing overdose of these 5 medications identified in a search of MEDLINE, EMBASE, and abstracts from major toxicology meetings. We found 13 pediatric cases (age, <7 years), 22 adolescent cases (age, 7-16 years), and 185 adult cases. No pediatric case described a ventricular dysrhythmia or a cardiovascular death. In the adolescent and adult cases, we found numerous reports of prolonged corrected QT interval and hypotension, but there were only 3 cases of ventricular dysrhythmia and 3 deaths that may have been due to direct cardiovascular toxicity. The results from case series reports were similar to the single case report data. Our review suggests that overdose of AAPM is unlikely to cause significant cardiovascular toxicity.


Annals of Emergency Medicine | 2015

Association of Emergency Department Opioid Initiation with Recurrent Opioid Use

Jason A. Hoppe; Howard S. Kim; Kennon Heard

STUDY OBJECTIVE Acute pain complaints are commonly treated in the emergency department (ED). Short courses of opioids are presumed to be safe for acute pain; however, the risk of recurrent opioid use after receipt of an ED opioid prescription is unknown. We describe the risk of recurrent opioid use in patients receiving an opioid prescription from the ED for an acute painful condition. METHODS This is a retrospective cohort study of all patients discharged from an urban academic ED with an acute painful condition during a 5-month period. Clinical information was linked to data from Colorados prescription drug monitoring program. We compared opioid-naive patients (no opioid prescription during the year before the visit) who filled an opioid prescription or received a prescription but did not fill it to those who did not receive a prescription. The primary outcome was the rate of recurrent opioid use, defined as filling an opioid prescription within 60 days before or after the first anniversary of the ED visit. RESULTS Four thousand eight hundred one patients were treated for an acute painful condition; of these, 52% were opioid naive and 48% received an opioid prescription. Among all opioid-naive patients, 775 (31%) received and filled an opioid prescription, and 299 (12%) went on to recurrent use. For opioid-naive patients who filled a prescription compared with those who did not receive a prescription, the adjusted odds ratio for recurrent use was 1.8 (95% confidence interval 1.3 to 2.3). For opioid-naive patients who received a prescription but did not fill it compared with those who did not receive a prescription, the adjusted odds ratio for recurrent use was 0.8 (95% confidence interval 0.5 to 1.3). CONCLUSION Opioid-naive ED patients prescribed opioids for acute pain are at increased risk for additional opioid use at 1 year.


Clinical Toxicology | 2010

A multicenter comparison of the safety of oral versus intravenous acetylcysteine for treatment of acetaminophen overdose

Vikhyat S. Bebarta; Kao L; Froberg B; Richard F. Clark; Eric J. Lavonas; Qi M; Delgado J; McDonagh J; Thomas C. Arnold; Odujebe O; O'Malley G; Lares C; Aguilera E; Richard C. Dart; Kennon Heard; Stanford C; Gregory M. Bogdan; Mendoza C; Sara L. Mlynarchek; Sean H. Rhyee; Jason A. Hoppe; Haur W; Tan Hh; Tran Nn; Shawn M. Varney; Zosel A; Buchanan J; Al-Helial M

Oral and intravenous (IV) N-acetylcysteine (NAC) are used for the treatment of acetaminophen poisoning. The objective of this multicenter study was to compare the safety of these two routes of administration. Methods. We conducted a multicenter chart review of all patients treated with NAC for acetaminophen poisoning. The primary safety outcome was the percentage of patients with NAC-related adverse events. Results. A total of 503 subjects were included in the safety analysis (306 IV-only, 145 oral-only, and 52 both routes). There were no serious adverse events related to NAC for either route. Nausea and vomiting were the most common related adverse events and were more common with oral treatment (23 vs. 9%). Anaphylactoid reactions were more common with IV administration (6 vs. 2%). Conclusions. IV and oral NAC are generally mild adverse drug reactions.


The Journal of Clinical Pharmacology | 2015

The accuracy of self-reported drug ingestion histories in emergency department patients.

Andrew A. Monte; Kennon Heard; Jason A. Hoppe; Vasilis Vasiliou; Frank J. Gonzalez

Inaccuracies in self‐reports may lead to duplication of therapy, failure to appreciate non‐compliance leading to exacerbation of chronic medical conditions, or inaccurate research conclusions. Our objective is to determine the accuracy of self‐reported drug ingestion histories in patients presenting to an urban academic emergency department (ED). We conducted a prospective cohort study in ED patients presenting for pain or nausea. We obtained a structured drug ingestion history including all prescription drugs, over‐the‐counter medication (OTC) drugs, and illicit drugs for the 48 hours prior to ED presentation. We obtained urine comprehensive drug screens (CDS) and determined self‐report/CDS concordance. Fifty‐five patients were enrolled. Self‐reported drug ingestion histories were poor in these patients; only 17 (30.9%) of histories were concordant with the CDS. For the individual drug classes, prescription drug‐CDS was concordant in 32 (58.2%), OTC‐CDS was concordant in 33 (60%), and illicit drug‐CDS was concordant in 45 (81.8%) of subjects. No demographic factors predicted an accurate self‐reported drug history. Sixteen patients had drugs detected by CDS that were unreported by history. Nine of these 16 included an unreported opioid. In conclusion, self‐reported drug ingestion histories are often inaccurate and resources are needed to confirm compliance and ensure unreported drugs are not overlooked.


Journal of Emergency Medicine | 2015

Accuracy of Electronic Medical Record Medication Reconciliation in Emergency Department Patients

Andrew A. Monte; Peter L. Anderson; Jason A. Hoppe; Richard M. Weinshilboum; Vasilis Vasiliou; Kennon Heard

BACKGROUND Medication history discrepancies have the potential to cause significant adverse clinical effects for patients. More than 40% of medication errors can be traced to inadequate reconciliation. OBJECTIVE The objective of this study was to determine the accuracy of electronic medical record (EMR)-reconciled medication lists obtained in an academic emergency department (ED). METHODS Comprehensive research medication ingestion histories for the 48 h preceding ED visit were performed and compared to reconciled EMR medication lists in a convenience sample of ED patients. The reconciled EMR list of prescription, nonprescription, vitamins, herbals, and supplement medications were compared against a structured research medication history tool. We measured the accuracy of the reconciled EMR list vs. the research history for all classes of medications as the primary outcome. RESULTS Five hundred and two subjects were enrolled. The overall accuracy of EMR-recorded ingestion histories in the preceding 48 h was poor. The EMR was accurate in only 21.9% of cases. Neither age ≥ 65 years (odds ratio [OR] = 1.3; 95% confidence interval [CI] 0.6-2.6) nor sex (female vs. male: OR = 1.5; 95% CI 0.9-2.5) were predictors of accurate EMR history. In the inaccurate EMRs, prescription lists were more likely to include medications that the subject did not report using (78.9%), while the EMR was more likely not to capture nonprescriptions (76.1%), vitamins (73.0%), supplements (67.3%), and herbals (89.1%) that the subject reported using. CONCLUSIONS Medication ingestion histories procured through triage EMR reconciliation are often inaccurate, and additional strategies are needed to obtain an accurate list.


Western Journal of Emergency Medicine | 2013

Prescription History of Emergency Department Patients Prescribed Opioids

Jason A. Hoppe; John Houghland; Michael Yaron; Kennon Heard

Introduction: To use Colorados prescription drug monitoring program (PDMP) to describe the recent opioid prescription history of patients discharged from our emergency department (ED) with a prescription for opioid pain medications. Methods: Retrospective cohort study of 300 adult ED patients who received an opioid prescription. We abstracted prescription histories for the six months prior to the ED visit from the PDMP, and abstracted clinical and demographic variables from the chart. Results: There were 5,379 ED visits during the study month, 3,732 of which were discharged. Providers wrote 1,165 prescriptions for opioid analgesics to 1,124/3,732 (30%) of the patients. Median age was 36 years. Thirty-nine percent were male. Patients were 46% Caucasian, 26% African American, 22% Hispanic, 2% Asian and 4% other. These were similar to our overall ED population. There was substantial variability in the number of prescriptions, prescribers and total number of pills. A majority (205/296) of patients had zero or one prescription. The 90th percentile for number of prescriptions was seven, while the 10th percentile was zero. Patients in the highest decile tended to be older, with a higher proportion of Caucasians and females. Patients in the lowest decile resembled the general ED population. The most common diagnoses associated with opioid prescriptions were abdominal pain (11.5%), cold/flu symptoms (9.5%), back pain (5.4%), flank pain (5.0%) and motor vehicle crash (4.7%). Conclusion: Substantial variability exists in the opioid prescription histories of ED patients, but a majority received zero or one prescription in the preceding six months. The top decile of patients averaged more than two prescriptions per month over the six months prior to ED visit, written by more than 6 different prescribers. There was a trend toward these patients being older, Caucasian and female.


Annals of Emergency Medicine | 2016

Clinically Inconsequential Alerts: The Characteristics of Opioid Drug Alerts and Their Utility in Preventing Adverse Drug Events in the Emergency Department

Emma K. Genco; Jeri E. Forster; Hanna K. Flaten; Foster R. Goss; Kennon Heard; Jason A. Hoppe; Andrew A. Monte

STUDY OBJECTIVE We examine the characteristics of clinical decision support alerts triggered when opioids are prescribed, including alert type, override rates, adverse drug events associated with opioids, and preventable adverse drug events. METHODS This was a retrospective chart review study assessing adverse drug event occurrences for emergency department (ED) visits in a large urban academic medical center using a commercial electronic health record system with clinical decision support. Participants include those aged 18 to 89 years who arrived to the ED every fifth day between September 2012 and January 2013. The main outcome was characteristics of opioid drug alerts, including alert type, override rates, opioid-related adverse drug events, and adverse drug event preventability by clinical decision support. RESULTS Opioid drug alerts were more likely to be overridden than nonopioid alerts (relative risk 1.35; 95% confidence interval [CI] 1.21 to 1.50). Opioid drug-allergy alerts were twice as likely to be overridden (relative risk 2.24; 95% CI 1.74 to 2.89). Opioid duplicate therapy alerts were 1.57 times as likely to be overridden (95% CI 1.30 to 1.89). Fourteen of 4,581 patients experienced an adverse drug event (0.31%; 95% CI 0.15% to 0.47%), and 8 were due to opioids (57.1%). None of the adverse drug events were preventable by clinical decision support. However, 46 alerts were accepted for 38 patients that averted a potential adverse drug event. Overall, 98.9% of opioid alerts did not result in an actual or averted adverse drug event, and 96.3% of opioid alerts were overridden. CONCLUSION Overridden opioid alerts did not result in adverse drug events. Clinical decision support successfully prevented adverse drug events at the expense of generating a large volume of inconsequential alerts. To prevent 1 adverse drug event, providers dealt with more than 123 unnecessary alerts. It is essential to refine clinical decision support alerting systems to eliminate inconsequential alerts to prevent alert fatigue and maintain patient safety.


Western Journal of Emergency Medicine | 2016

A Quality Improvement Initiative to Decrease Variability of Emergency Physician Opioid Analgesic Prescribing

John H. Burton; Jason A. Hoppe; Jeff M. Echternach; Justin M. Rodgers; Michael Donato

Introduction Addressing pain is a crucial aspect of emergency medicine. Prescription opioids are commonly prescribed for moderate to severe pain in the emergency department (ED); unfortunately, prescribing practices are variable. High variability of opioid prescribing decisions suggests a lack of consensus and an opportunity to improve care. This quality improvement (QI) initiative aimed to reduce variability in ED opioid analgesic prescribing. Methods We evaluated the impact of a three-part QI initiative on ED opioid prescribing by physicians at seven sites. Stage 1: Retrospective baseline period (nine months). Stage 2: Physicians were informed that opioid prescribing information would be prospectively collected and feedback on their prescribing and that of the group would be shared at the end of the stage (three months). Stage 3: After physicians received their individual opioid prescribing data with blinded comparison to the group means (from Stage 2) they were informed that individual prescribing data would be unblinded and shared with the group after three months. The primary outcome was variability of the standard error of the mean and standard deviation of the opioid prescribing rate (defined as number of patients discharged with an opioid divided by total number of discharges for each provider). Secondary observations included mean quantity of pills per opioid prescription, and overall frequency of opioid prescribing. Results The study group included 47 physicians with 149,884 ED patient encounters. The variability in prescribing decreased through each stage of the initiative as represented by the distributions for the opioid prescribing rate: Stage 1 mean 20%; Stage 2 mean 13% (46% reduction, p<0.01), and Stage 3 mean 8% (60% reduction, p<0.01). The mean quantity of pills prescribed per prescription was 16 pills in Stage 1, 14 pills in Stage 2 (18% reduction, p<0.01), and 13 pills in Stage 3 (18% reduction, p<0.01). The group mean prescribing rate also decreased through each stage: 20% in Stage 1, 13% in Stage 2 (46% reduction, p<0.01), and 8% in Stage 3 (60% reduction, p<0.01). Conclusion ED physician opioid prescribing variability can be decreased through the systematic application of sharing of peer prescribing rates and prescriber specific normative feedback.


Clinical Toxicology | 2011

Clinical course of repeated supratherapeutic ingestion of acetaminophen.

Mohammed A. Alhelail; Jason A. Hoppe; Sean H. Rhyee; Kennon Heard

Background. Repeated supratherapeutic ingestion (RSTI) of acetaminophen (APAP) is recognized as an important cause of APAP-related morbidity and mortality. This study describes the characteristics and clinical course of patients with RSTI, and identifies the risk factors for developing hepatotoxicity and death. Methods. This secondary analysis of a multicenter retrospective chart review studied patients treated with IV and/or oral N-acetylcysteine for acetaminophen poisoning. For this analysis, we included all subjects coded as RSTIs, defined as ingestions of greater than 4 g of APAP per 24 h over a period longer than 8 h. Data collected include demographics, coingestants, comorbidities, presenting laboratory data, and outcomes. The analysis includes descriptive statistics and associations of demographic and clinical factors with patient outcome. Results. Of the 503 patients enrolled, 119 (23.7%) were RSTI. The mean age was 39.6 years (SD ± 15); 63.9% of the patients were females, 60.5% Caucasians, 27.7% alcoholics, 5% malnourished, 10.9% had viral hepatitis, and 3.4% had other liver diseases. Coingestants included ethanol, opioids, and antihistamines (17.6, 48.7, and 19.3%, respectively). Among this group, 44 patients developed hepatotoxicity, two received liver transplants, and four died (37.0, 1.7, and 3.4%, respectively). The risk for hepatotoxicity increased with a history of alcoholism, viral hepatitis, and other liver diseases. A history of alcoholism and an elevated presenting serum creatinine were associated with increased risk for death/transplant. The lowest presenting ALT levels in a subject who developed hepatotoxicity and who died were 252 and 426 IU/l, respectively. Conclusion. RSTI-induced hepatotoxicity and poor outcomes can be predicted at the patients presentation. All patients with RSTI who developed hepatotoxicity presented with an abnormal ALT. A history of alcoholism and an elevated creatinine at presentation are markers of increased risk for hepatotoxicity and death.

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Kennon Heard

University of Colorado Denver

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Jeanmarie Perrone

University of Pennsylvania

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Andrew A. Monte

University of Colorado Denver

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Scott G. Weiner

Brigham and Women's Hospital

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Sean H. Rhyee

University of Massachusetts Medical School

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Eric J. Lavonas

University of Colorado Denver

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