Impact of renal dysfunction on acute coronary syndrome evaluation in observation unit patients.

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2010-07

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Abstract

OBJECTIVES: The impact of renal disease on risk stratification of patients at low risk for potential acute coronary syndrome has not been well defined. The objective of this study was to document the prevalence of renal dysfunction and assess the association between renal impairment and abnormal cardiac evaluation in observation unit (OU) patients. METHODS: Retrospective cohort study at an academic medical center OU. Data were abstracted using predetermined definitions of data outcomes by trained abstractors. Patients had symptoms consistent with acute coronary syndrome and did not have obvious evidence of acute MI or ischemia on electrocardiogram, unstable vital signs, abnormal cardiac markers, serious arrhythmias, or uncontrollable chest pain. Observation patients received serial cardiac markers and electrocardiograms, with the majority receiving stress testing at treating physician discretion. Patients were stratified by glomerular filtration rates (GFR) at cut-off points of less than 60 and less than 90 mL/min per 1.73 m(2). Odds ratios were calculated for stress test findings of inducible ischemia or hospital admission. RESULTS: Five hundred and twenty-nine out of 545 patients had complete data and were enrolled. Sixty-nine (13%) patients had a GFR of less than 60 and 300 (56%) patients had a GFR of less than 90. An abnormal cardiac evaluation was found in 64 (12%) patients, of whom 31 (49%) had some renal impairment. The odds ratio of an abnormal cardiac evaluation with a GFR of less than 90 is 1.65 (95% confidence interval, 0.95-2.88) and 1.65 (95% confidence interval, 0.83-3.28) for GFR less than 60. CONCLUSIONS: Renal dysfunction is common in OU patients. In these patients, renal dysfunction did not confer higher risk for abnormal cardiac evaluation.

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10.1016/j.ajem.2009.02.014

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Limkakeng, Alexander T, and Abhinav Chandra (2010). Impact of renal dysfunction on acute coronary syndrome evaluation in observation unit patients. Am J Emerg Med, 28(6). pp. 658–662. 10.1016/j.ajem.2009.02.014 Retrieved from https://hdl.handle.net/10161/12524.

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Limkakeng

Alexander Tan Limkakeng

Professor of Emergency Medicine

Dr. Alexander T. Limkakeng, Jr., MD, MHSc, FACEP is a Professor of Emergency Medicine, Vice Chair of Clinical Research, Director of the Acute Care Research Team, and Director of the Resident Research Fellowship for the Department of Emergency Medicine in the Duke University School of Medicine in Durham, North Carolina.

Dr. Limkakeng has served as chair of the American College of Emergency Physicians (ACEP) Research Committee, and been the Course Director of the ACEP Research Forum from 2016-2018, the largest emergency medical research platform in the nation. He is also the Assistant Director of ACEP’s Emergency Medicine Basic Research Skills course. He was elected to the Nominating Committee of the Society of Academic Emergency Medicine.

As a researcher, Dr. Limkakeng has led multiple clinical trials and interdepartmental sponsored projects and is author on over 100 peer-reviewed manuscripts. These include studies in emergency conditions such as COVID-19, traumatic brain injury, hypertension, heart failure, thrombosis, stroke, envenomations, and septic shock. His research has been funded by grants and contracts totaling over $9 million dollars. He has lectured internationally on acute coronary syndrome, responsible conduct of research, design of clinical trials, and precision medicine in emergency care. He has led Duke’s involvement in NIH-funded research networks and in industry-funded work that led to FDA approval for multiple high-sensitivity cardiac troponin assays and point-of-care COVID-19 diagnostic tests. He has servesd as Co-PI for the Duke U24 Hub in the NIH Early Phase Pain Investigation Clinical Network (EPPIC-Net) (1U24NS114416) and now serves as a co-PI on the Duke U24 Hub award (1U24NS129498) in the NIH Strategies to Innovate Emergency Care Clinical Trials (SIREN) Network and in the NIH NINDS Strokenet network (1U24NS135250)

His personal research interest is finding new ways to diagnose acute coronary syndrome. In particular, he is interested in novel biomarkers and precision medicine approaches to this problem. The common element throughout this work is a focus on time-sensitive health conditions.

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