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Dive into the research topics where Pamela Taggart is active.

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Featured researches published by Pamela Taggart.


Therapeutics and Clinical Risk Management | 2009

Comparison of linear-stochastic and nonlinear-deterministic algorithms in the analysis of 15-minute clinical ECGs to predict risk of arrhythmic death.

James E. Skinner; Michael Meyer; Brian A. Nester; Una Geary; Pamela Taggart; Antoinette Mangione; George Ramalanjaona; Carol A. Terregino; William C. Dalsey

Objective: Comparative algorithmic evaluation of heartbeat series in low-to-high risk cardiac patients for the prospective prediction of risk of arrhythmic death (AD). Background: Heartbeat variation reflects cardiac autonomic function and risk of AD. Indices based on linear stochastic models are independent risk factors for AD in post-myocardial infarction (post-MI) cohorts. Indices based on nonlinear deterministic models have superior predictability in retrospective data. Methods: Patients were enrolled (N = 397) in three emergency departments upon presenting with chest pain and were determined to be at low-to-high risk of acute MI (>7%). Brief ECGs were recorded (15 min) and R-R intervals assessed by three nonlinear algorithms (PD2i, DFA, and ApEn) and four conventional linear-stochastic measures (SDNN, MNN, 1/f-Slope, LF/HF). Out-of-hospital AD was determined by modified Hinkle–Thaler criteria. Results: All-cause mortality at one-year follow-up was 10.3%, with 7.7% adjudicated to be AD. The sensitivity and relative risk for predicting AD was highest at all time-points for the nonlinear PD2i algorithm (p ≤0.001). The sensitivity at 30 days was 100%, specificity 58%, and relative risk >100 (p ≤0.001); sensitivity at 360 days was 95%, specificity 58%, and relative risk >11.4 (p ≤0.001). Conclusions: Heartbeat analysis by the time-dependent nonlinear PD2i algorithm is comparatively the superior test.


The Cardiology | 2001

The Expression of the CD18 Leucocyte Integrin in a Rabbit Model of Acute Myocardial Infarction: A Pilot Study of Temporal Changes and Relationship to Infarct Size

Graham S. Hillis; Pamela Taggart; William C. Dalsey; Antoinette Mangione; Xin-Liang Ma

CD18 integrins mediate leucocyte adhesion to vascular endothelium. This represents the initial step in inflammatory cell infiltration following myocardial necrosis. The current studyassessed whether the expression of these rapidly activated and readily measured adhesion receptors on circulating neutrophils would reflect the extent of cardiac damage in a rabbit model of acute myocardial infarction. Myocardial ischaemia/infarction was induced in anaesthetised adult male New Zealand white rabbits (n = 8) by ligation of the circumflex or marginal coronary artery. To control for the effects of anaesthesia and surgery, 4 rabbits underwent identical procedures without the induction of infarction. Absolute infarct size (in mg) and infarct size as a percentage of total left ventricular mass (relative infarct size) were calculated by differential staining and weighing of necrotic myocardium. Flow cytometry was used to determine cell surface expression of CD18 at six time points (baseline, 20 and 45 min of ischaemia and 20, 60 and 180 min of reperfusion). Absolute neutrophil CD18 expression and changes in expression over baseline were correlated with absolute and relative infarct size. Mean neutrophil CD18 expression increased significantly (from 2.42 ± 0.20 to 3.07 ± 0.29; p = 0.04) within 20 min of ischaemia. CD18 expression at 3 h did not predict absolute or relative infarct size (r = 0.40 and 0.37, respectively). The percentage change in cell surface CD18 expression (above baseline levels) was, however, correlated with both measures of infarct size (r = 0.76, p = 0.03, and r = 0.92, p = 0.001, respectively). In conclusion, in this rabbit model of myocardial infarction, neutrophil CD18 expression rises within 20 min of the induction of ischaemia but absolute values after 3 h of reperfusion are poor indicators of infarct size. Although percentage change in neutrophil CD18 levels over baseline correlates with infarct size there is considerable variation between individuals, limiting any clinical application.


Annals of Emergency Medicine | 2003

Inflammatory cytokines provide limited early prognostic information in emergency department patients with suspected myocardial ischemia

Graham S. Hillis; Carol A. Terregino; Pamela Taggart; Anthony J. Killian; Antoinette Mangione

STUDY OBJECTIVE The aim of this study was to assess the early prognostic value of the inflammatory cytokines interleukin 6, interleukin 8, and tumor necrosis factor alpha in a cohort of emergency department (ED) patients with chest pain who have suspected myocardial ischemia. METHODS One hundred eighteen patients with chest pain presenting to 2 urban EDs were studied. Interleukin 6, interleukin 8, and tumor necrosis factor alpha levels were assayed at presentation. The end point was the occurrence of a serious cardiac event (death, nonfatal acute myocardial infarction, myocardial revascularization, or readmission with an acute coronary syndrome) during the index admission or subsequent 3 months. RESULTS Mean levels of all 3 cytokines were higher among patients experiencing a serious cardiac event, with the greatest differences observed in levels of interleukin 6 (mean 2.5 pg/mL [95% confidence interval (CI) 1.2 to 3.7 pg/mL] versus mean 9.8 pg/mL [95% CI 2.4 to 17.2 pg/mL]). Interleukin 6 had a sensitivity of 35% (95% CI 20% to 54%), a specificity of 86% (95% CI 76% to 92%), and an overall prognostic accuracy of 71% (95% CI 63% to 79%) for predicting serious cardiac events. However, logistic regression analysis revealed that the only independent predictor of an adverse outcome was an ECG suggestive of ischemia at presentation. CONCLUSION Among patients presenting to the ED with suspected myocardial ischemia, higher levels of inflammatory cytokines are associated with an increased risk of a serious cardiac event during the subsequent 3 months. There is, however, considerable overlap in levels among patients who do and do not have a serious cardiac event, limiting their utility as predictors of outcome in individual patients.


Chest | 2000

Prevalence of Cocaine Use and Its Impact on Asthma Exacerbation in an Urban Population

Lauren Rome; Michael Lippmann; William C. Dalsey; Pamela Taggart; Sherry Pomerantz


American Heart Journal | 2002

Elevated soluble P-selectin levels are associated with an increased risk of early adverse events in patients with presumed myocardial ischemia

Graham S. Hillis; Carol A. Terregino; Pamela Taggart; Anthony Killian; Ning Zhao; William C. Dalsey; Antoinette Mangione


American Heart Journal | 2003

Biochemical and clinical predictors of long-term outcome in patients with nonspecific chest pain and nondiagnostic electrocardiograms.

Graham S. Hillis; Pamela Taggart; Lorraine Hillis; Ning Zhao; William C. Dalsey; Antoinette Mangione


Annals of Emergency Medicine | 2001

Soluble intercellular adhesion molecule-1 as a predictor of early adverse events in patients with chest pain compatible with myocardial ischemia

Graham S. Hillis; Carol A. Terregino; Pamela Taggart; Anthony Killian; Ning Zhao; Justin L. Kaplan; William C. Dalsey; Antoinette Mangione


American Journal of Emergency Medicine | 2001

Coronary artery disease in patients with chest pain who have low-risk clinical characteristics and negative cardiac troponin I

Graham S. Hillis; Craig Oliner; Brian J. O'Neil; Vinu Pansuriya; Pamela Taggart; Ning Zhao; William C. Dalsey; Antoinette Mangione


Clinical Cardiology | 2003

The relative utility of cardiac troponin i, creatine kinase‐mbmass, and myosin light chain‐1 in the long‐term risk stratification of patients with chest pain

Graham S. Hillis; Pamela Taggart; Delana Wardlaw; Lorraine Hillis; Ning Zhao; William C. Dalsey; Antoinette Mangione


Academic Emergency Medicine | 1999

Research Fundamentals VI: Misconduct in Biomedical Research

Michelle H. Biros; Susan S. Fish; Pamela Taggart

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Antoinette Mangione

Albert Einstein Medical Center

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William C. Dalsey

Albert Einstein Medical Center

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Ning Zhao

Albert Einstein Medical Center

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Graham S. Hillis

Albert Einstein Medical Center

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Graham S. Hillis

Albert Einstein Medical Center

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Lorraine Hillis

Albert Einstein Medical Center

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