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Featured researches published by Mf Emons.


American Journal of Health-system Pharmacy | 2010

Pattern of clopidogrel use in hospitalized patients receiving percutaneous coronary interventions.

Bonnie B. Dean; Hsing-Ting Yu; Jay P. Bae; Suzanne Fiske; Eric Meadows; Yan Xiong; Mf Emons

PURPOSE The pattern of clopidogrel loading in patients who had undergone percutaneous coronary intervention (PCI) was studied in a retrospective analysis of clinical records. METHODS A database of deidentified electronic medical records from hospitals and hospital-affiliated outpatient facilities throughout the United States was analyzed for PCI patients with or without a diagnosis of acute coronary syndrome (ACS) who received clopidogrel loading doses of > or =300 mg between 48 hours before and 6 hours after PCI. A high dose was defined as > or =600 mg, and pretreatment was defined as more than 6 hours before PCI for 300-599 mg and 2 or more hours before PCI for > or =600 mg. RESULTS Among 6253 PCI patients who met the criteria, there were 2331 with a diagnosis of ACS (ACS-PCI) and 3922 without an ACS diagnosis (elective PCI). Of the ACS-PCI patients, 1359 had ST-segment elevation myocardial infarction (STEMI) and 972 had unstable angina (UA) or non-ST-segment elevation myocardial infarction (NSTEMI). A majority of ACS-PCI patients (57%) received a > or =600-mg loading dose, 34% received a 300-mg loading dose, and the rest received a loading dose between 300 and 600 mg. Loading consisted of a single bolus in 75% of patients, two doses in 21.5%, and three or more doses in 3.1%. The first dose was during or after PCI in 56% of the UA/NSTEMI group and in 71% of both the elective PCI and STEMI groups. Among the UA/NSTEMI group, only 33% met criteria for pretreatment. CONCLUSION Reported practice patterns of clopidogrel administration before PCI for UA/NSTEMI were not consistent with evidence generated from published clinical trials and guidelines. Recommended pre-treatment with clopidogrel was frequently not practiced.


BMC Infectious Diseases | 2012

Development and validation of a bedside risk score for MRSA among patients hospitalized with complicated skin and skin structure infections

Marya D. Zilberberg; Paresh Chaudhari; Brian H. Nathanson; Rebecca S Campbell; Mf Emons; Suzanne Fiske; Harlen Hays; Andrew F. Shorr

BackgroundMethicillin-resistant Staphylococcus aureus (MRSA) is a frequent cause of complicated skin and skin structure infections (cSSSI). Patients with MRSA require different empiric treatment than those with non-MRSA infections, yet no accurate tools exist to aid in stratifying the risk for a MRSA cSSSI. We sought to develop a simple bedside decision rule to tailor empiric coverage more accurately.MethodsWe conducted a large multicenter (N=62 hospitals) retrospective cohort study in a US-based database between April 2005 and March 2009. All adult initial admissions with ICD-9-CM codes specific to cSSSI were included. Patients admitted with MRSA vs. non-MRSA were compared with regard to baseline demographic, clinical and hospital characteristics. We developed and validated a model to predict the risk of MRSA, and compared its performance via sensitivity, specificity and other classification statistics to the healthcare-associated (HCA) infection risk factors.ResultsOf the 7,183 patients with cSSSI, 2,387 (33.2%) had MRSA. Factors discriminating MRSA from non-MRSA were age, African-American race, no evidence of diabetes mellitus, cancer or renal dysfunction, and prior history of cardiac dysrhythmia. The score ranging from 0 to 8 points exhibited a consistent dose–response relationship. A MRSA score of 5 or higher was superior to the HCA classification in all characteristics, while that of 4 or higher was superior on all metrics except specificity.ConclusionsMRSA is present in 1/3 of all hospitalized cSSSI. A simple bedside risk score can help discriminate the risk for MRSA vs. other pathogens with improved accuracy compared to the HCA definition.


Current Medical Research and Opinion | 2012

Association of blood glucose levels with in-hospital mortality and 30-day readmission in patients undergoing invasive cardiovascular surgery

Lauren J. Lee; Mf Emons; Sherry Martin; Douglas Faries; Jay Bae; Brian H. Nathanson; Hsing-Ting Yu; Tracy Haidar; Bruce W. Bode

Abstract Objective: This study aimed to evaluate the association of mean and maximum blood glucose (BG) levels with in-hospital mortality and 30-day hospital readmission among patients in the intensive care unit (ICU) undergoing invasive cardiovascular (CV) surgery. Research design and methods: The retrospective database analysis consisted of data from 3132 patients from 17 hospitals who underwent an invasive CV surgery during 1/2000–12/2006. Patients with hyperglycemia were identified based on serum BG levels recorded from 12 hours prior to and 24 hours after ICU admission. Separate logistic regression models were used to examine the association of mean and maximum BG levels to in-hospital mortality and 30-day readmission, adjusting for patient demographics, comorbidities and laboratory values. Results: The adjusted odds ratio (OR) for in-hospital mortality was 1.07 (95% CI: 1.01–1.12; p < .001) for every 0.56-mmol/L increase in mean BG, and OR = 1.06 (95% CI: 1.03–1.08, p < .001) for every 0.56-mmol/L increase in maximum BG. Mean BG was not associated with 30-day readmission while maximum BG had a borderline association: OR = 1.02 (95% CI: 1.00–1.03, p = .06). Limitation: The results are not generalizable to all cardiovascular surgical patients since only those undergoing invasive procedures were included in the study. Conclusions: Higher mean and maximum BG levels were associated with increased risk of in-hospital mortality but not with 30-day readmission. Further research is needed to identify optimal BG targets and the effects of avoiding extreme hyperglycemia on patient outcomes.


Movement Disorders Clinical Practice | 2016

Associations Between Cardiovascular Events and Nonergot Dopamine Agonists in Parkinson's Disease

James A. G. Crispo; Allison W. Willis; Dylan P. Thibault; Yannick Fortin; Mf Emons; Lise M. Bjerre; Dafna E. Kohen; Santiago Perez‐Lloret; Donald R. Mattison; Daniel Krewski

Knowledge of possible cardiovascular risks from Parkinsons disease (PD) medications is critical to informing safe and effective treatment decisions. The objective of our study was to determine whether PD patients treated with nonergot dopamine agonists (DAs) are at increased risk of adverse cardiovascular or cerebrovascular outcomes, relative to PD patients receiving other treatments.


The American Journal of Medicine | 2010

Are Atrial Fibrillation Patients Receiving Warfarin in Accordance with Stroke Risk

Peter Zimetbaum; Amit J. Thosani; Hsing-Ting Yu; Yan Xiong; Jay Lin; Prajesh Kothawala; Mf Emons


BMC Infectious Diseases | 2013

A risk score for identifying methicillin-resistant Staphylococcus aureus in patients presenting to the hospital with pneumonia

Andrew F. Shorr; Daniela E. Myers; David B. Huang; Brian H. Nathanson; Mf Emons; Marin H. Kollef


Archive | 2013

Risk Factors for All-Cause Hospital Readmission Within 30 Days of Hospital Discharge

Robin L. Kruse; Harlen Hays; Richard W. Madsen; Mf Emons; Douglas S. Wakefield; David R. Mehr


European Journal of Clinical Pharmacology | 2015

Trends in inpatient antiparkinson drug use in the USA, 2001-2012.

James A. G. Crispo; Yannick Fortin; Dylan P. Thibault; Mf Emons; Lise M. Bjerre; Dafna E. Kohen; Santiago Perez-Lloret; Donald R. Mattison; Allison W. Willis; Daniel Krewski


Value in Health | 2015

Comparing the predictive performance of two variants of the elixhauser comorbidity measures for all-cause in-hospital mortality in a large multi-payer u.s. Administrative database

Yannick Fortin; James Crispo; Mf Emons; D.R. Mattison; Daniel Krewski


Neurology | 2015

Antiparkinson drug use in response to practice parameter publication, drug availability, and ‘unofficial’ prescribing forces (P4.149)

James Crispo; Yannick Fortin; Lise M. Bjerre; Dafna E. Kohen; Donald R. Mattison; Santiago Perez-Lloret; Mf Emons; Allison W. Willis; Daniel Krewski

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Hsing-Ting Yu

MedStar Washington Hospital Center

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Allison W. Willis

University of Pennsylvania

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Andrew F. Shorr

MedStar Washington Hospital Center

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