Literature DB >> 20102895

Predictors of short-term (seven-day) cardiac outcomes after emergency department visit for syncope.

Gelareh Z Gabayan1, Stephen F Derose, Steven M Asch, Vicki Y Chiu, Sungching C Glenn, Carol M Mangione, Benjamin C Sun.   

Abstract

Syncope is a common reason for emergency department (ED) visits, and patients are often admitted to exclude syncope of cardiovascular origin. Population-based data on patterns and predictors of cardiac outcomes may improve decision-making. Our objective was to identify patterns and predictors of short-term cardiac outcomes in ED patients with syncope. Administrative data from an integrated health system of 11 Southern California EDs were used to identify cardiac outcomes after ED presentation for syncope from January 1, 2002, to December 31, 2005. Syncope and cause of death were identified by codes from the International Classification of Disease, Ninth Revision. Cardiac outcomes included cardiac death and hospitalization or procedure consistent with ischemic heart disease, valvular disease, or arrhythmia. Predictors of cardiac outcomes were identified through multivariate logistic regression. There were 35,330 adult subjects who accounted for 39,943 ED visits for syncope. Risk of cardiac outcome sharply decreased following the 7 days after syncope. A 7-day cardiac outcome occurred in 893 cases (3%). Positive predictors of 7-day cardiac outcomes included age > or =60 years, male gender, congestive heart failure, ischemic heart disease, cardiac arrhythmia, and valvular heart disease. Negative predictors included dementia, pacemaker, coronary revascularization, and cerebrovascular disease. There was an age-dependent relation between 7-day cardiac outcomes and arrhythmia and valvular disease, with younger patients (<60 years of age) having greater risk of an event compared to their same-age counterparts. In conclusion, ED decision-making should focus on risk of cardiac event in the first 7 days after syncope and special attention should be given to younger patients with cardiac co-morbidities.

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Year:  2010        PMID: 20102895      PMCID: PMC2821329          DOI: 10.1016/j.amjcard.2009.08.654

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  18 in total

1.  Characteristics and admission patterns of patients presenting with syncope to U.S. emergency departments, 1992-2000.

Authors:  Benjamin C Sun; Jennifer A Emond; Carlos A Camargo
Journal:  Acad Emerg Med       Date:  2004-10       Impact factor: 3.451

Review 2.  Evaluation and outcome of patients with syncope.

Authors:  W N Kapoor
Journal:  Medicine (Baltimore)       Date:  1990-05       Impact factor: 1.889

3.  Risk stratification of patients with syncope.

Authors:  T P Martin; B H Hanusa; W N Kapoor
Journal:  Ann Emerg Med       Date:  1997-04       Impact factor: 5.721

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Authors:  D J Driscoll; S J Jacobsen; C J Porter; P C Wollan
Journal:  J Am Coll Cardiol       Date:  1997-04       Impact factor: 24.094

5.  Incidence and prognosis of syncope.

Authors:  Elpidoforos S Soteriades; Jane C Evans; Martin G Larson; Ming Hui Chen; Leway Chen; Emelia J Benjamin; Daniel Levy
Journal:  N Engl J Med       Date:  2002-09-19       Impact factor: 91.245

6.  Development and prospective validation of a risk stratification system for patients with syncope in the emergency department: the OESIL risk score.

Authors:  Furio Colivicchi; Fabrizio Ammirati; Domenico Melina; Vincenzo Guido; Giuseppe Imperoli; Massimo Santini
Journal:  Eur Heart J       Date:  2003-05       Impact factor: 29.983

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Authors:  W N Kapoor; M Karpf; S Wieand; J R Peterson; G S Levey
Journal:  N Engl J Med       Date:  1983-07-28       Impact factor: 91.245

8.  Clinical predictors of cardiac syncope at initial evaluation in patients referred urgently to a general hospital: the EGSYS score.

Authors:  A Del Rosso; A Ungar; R Maggi; F Giada; N R Petix; T De Santo; C Menozzi; M Brignole
Journal:  Heart       Date:  2008-06-02       Impact factor: 5.994

9.  A risk score to predict arrhythmias in patients with unexplained syncope.

Authors:  François P Sarasin; Barbara H Hanusa; Thomas Perneger; Martine Louis-Simonet; Anand Rajeswaran; Wishwa N Kapoor
Journal:  Acad Emerg Med       Date:  2003-12       Impact factor: 3.451

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Authors:  W S Getchell; G C Larsen; C D Morris; J H McAnulty
Journal:  J Gen Intern Med       Date:  1999-11       Impact factor: 5.128

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  8 in total

1.  Standardized reporting guidelines for emergency department syncope risk-stratification research.

Authors:  Benjamin C Sun; Venkatesh Thiruganasambandamoorthy; Jeffrey Dela Cruz
Journal:  Acad Emerg Med       Date:  2012-06       Impact factor: 3.451

2.  Analysis of emergency department visits for palpitations (from the National Hospital Ambulatory Medical Care Survey).

Authors:  Marc A Probst; William R Mower; Hemal K Kanzaria; Jerome R Hoffman; Eric F Buch; Benjamin C Sun
Journal:  Am J Cardiol       Date:  2014-03-01       Impact factor: 2.778

3.  Emergency Department Increased use of Observation Care for Elderly Medicare Patients.

Authors:  Gelareh Z Gabayan; Li-Jung Liang; Brian Doyle; David Yu-Chuang Huang; Catherine A Sarkisian
Journal:  J Hosp Adm       Date:  2018-06

4.  Relationship between a Prolonged Corrected QT Interval and Mortality in Patients Presenting with Syncope at the Emergency Department.

Authors:  Pınar Yeşim Akyol; Hüseyin Acar; Adem Çakır; Yusuf Şahin; Zeynep Karakaya; Fatih Esad Topal
Journal:  Biomed Res Int       Date:  2021-11-24       Impact factor: 3.411

5.  The Characteristics of Syncope-Related Emergency Department Visits: Resource Utilization and Admission Rate Patterns in Emergency Departments.

Authors:  Khalid N Almulhim
Journal:  Cureus       Date:  2022-02-08

6.  Standardized approaches to syncope evaluation for reducing hospital admissions and costs in overcrowded emergency departments.

Authors:  Tae Gun Shin; June Soo Kim; Hyoung Gon Song; Ik Joon Jo; Min Seob Sim; Seung-Jung Park
Journal:  Yonsei Med J       Date:  2013-09       Impact factor: 2.759

Review 7.  Predictors of Short-Term Outcomes after Syncope: A Systematic Review and Meta-Analysis.

Authors:  Thomas A Gibson; Robert E Weiss; Benjamin C Sun
Journal:  West J Emerg Med       Date:  2018-03-13

8.  Causes and Predictors of 30-Day Readmission in Patients With Syncope/Collapse: A Nationwide Cohort Study.

Authors:  Amer N Kadri; Hasan Abuamsha; Leen Nusairat; Nazih Kadri; Hussam Abuissa; Ahmad Masri; Adrian V Hernandez
Journal:  J Am Heart Assoc       Date:  2018-09-18       Impact factor: 5.501

  8 in total

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