Literature DB >> 11852005

[Chest pain units. Organization and protocol for the diagnosis of acute coronary syndromes].

Julián Bayón Fernández1, Eduardo Alegría Ezquerra, Xavier Bosch Genover, Adolfo Cabadés O'Callaghan, Ignacio Iglesias Gárriz, José Julio Jiménez Nácher, Félix Malpartida De Torres, Ginés Sanz Romero.   

Abstract

The two main goals of chest pain units are the early, accurate diagnosis of acute coronary syndromes and the rapid, efficient recognition of low-risk patients who do not need hospital admission. Many clinical, practical, and economic reasons support the establishment of such units. Patients with chest pain account for a substantial proportion of emergency room turnover and their care is still far from optimal: 8% of patients sent home are later diagnosed of acute coronary syndrome and 60% of admissions for chest pain eventually prove to have been unnecessary.We present a systematic approach to create and manage a chest pain unit employing specialists headed by a cardiologist. The unit may be functional or located in a separate area of the emergency room. Initial triage is based on the clinical characteristics, the ECG and biomarkers of myocardial infarct. Risk stratification in the second phase selects patients to be admitted to the chest pain unit for 6-12 h. Finally, we propose treadmill testing before discharge to rule out the presence of acute myocardial ischemia or damage in patients with negative biomarkers and non-diagnostic serial ECGs.

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Year:  2002        PMID: 11852005     DOI: 10.1016/s0300-8932(02)76574-3

Source DB:  PubMed          Journal:  Rev Esp Cardiol        ISSN: 0300-8932            Impact factor:   4.753


  6 in total

1.  Diagnostic Performance of Point-of-Care Troponin I and Laboratory Troponin T in Patients Presenting to the ED with Chest Pain: A Comparative Study.

Authors:  Osama H Mohammad; Vamanjore A Naushad; Nishan K Purayil; Laith Sinan; Naseem Ambra; Prem Chandra; Firjeeth C Paramba; Jassim Mohammad; Sajid Chalihadan; Irfan Varikkodan; Azeez Palol
Journal:  Open Access Emerg Med       Date:  2020-10-13

2.  Improved outcome in acute coronary syndrome by establishing a chest pain unit.

Authors:  Till Keller; Felix Post; Stergios Tzikas; Astrid Schneider; Sven Arnolds; Oliver Scheiba; Stefan Blankenberg; Thomas Münzel; Sabine Genth-Zotz
Journal:  Clin Res Cardiol       Date:  2009-12-24       Impact factor: 5.460

3.  Chest pain in the emergency department: risk stratification with Manchester triage system and HEART score.

Authors:  Luís Leite; Rui Baptista; Jorge Leitão; Joana Cochicho; Filipe Breda; Luís Elvas; Isabel Fonseca; Armando Carvalho; José Nascimento Costa
Journal:  BMC Cardiovasc Disord       Date:  2015-06-11       Impact factor: 2.298

4.  Diagnostic Performance of Coronary Tomography Angiography and Serial Measurements of Sensitive Cardiac Troponin in Patients With Chest Pain and Intermediate Risk for Cardiovascular Events.

Authors:  Alexandre de Matos Soeiro; Bruno Biselli; Tatiana C A T Leal; Aline Siqueira Bossa; Maria Cristina César; Sérgio Jallad; Priscila Gherardi Goldstein; Patrícia Oliveira Guimarães; Carlos Vicente Serrano; Cesar Higa Nomura; Débora Nakamura; Carlos Eduardo Rochitte; Paulo Rogério Soares; Múcio Tavares de Oliveira
Journal:  Arq Bras Cardiol       Date:  2022-05       Impact factor: 2.667

5.  Developing outcome, process and balancing measures for an emergency department longitudinal patient monitoring system using a modified Delphi.

Authors:  Marie E Ward; Abel Wakai; Ronald McDowell; Fiona Boland; Eoin Coughlan; Moayed Hamza; John Browne; Ronan O'Sullivan; Una Geary; Fiona McDaid; Éidín Ní Shé; Frances J Drummond; Conor Deasy; Eilish McAuliffe
Journal:  BMC Emerg Med       Date:  2019-01-14

6.  Real-time AI prediction for major adverse cardiac events in emergency department patients with chest pain.

Authors:  Pei-I Zhang; Chien-Chin Hsu; Yuan Kao; Chia-Jung Chen; Ya-Wei Kuo; Shu-Lien Hsu; Tzu-Lan Liu; Hung-Jung Lin; Jhi-Joung Wang; Chung-Feng Liu; Chien-Cheng Huang
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2020-09-11       Impact factor: 2.953

  6 in total

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