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Chest Pain Risk Stratification in the Emergency Department: Current Perspectives.
Yukselen, Zeynep; Majmundar, Vidit; Dasari, Mahati; Arun Kumar, Pramukh; Singh, Yuvaraj.
Afiliação
  • Yukselen Z; Department of Internal Medicine, Saint Vincent Hospital, Worcester, MA, 01608, USA.
  • Majmundar V; Department of Internal Medicine, Saint Vincent Hospital, Worcester, MA, 01608, USA.
  • Dasari M; Department of Internal Medicine, Saint Vincent Hospital, Worcester, MA, 01608, USA.
  • Arun Kumar P; Department of Internal Medicine, Saint Vincent Hospital, Worcester, MA, 01608, USA.
  • Singh Y; Division of Gastroenterology and Hepatology, UMass Chan Medical School, Worcester, MA, 01605, USA.
Open Access Emerg Med ; 16: 29-43, 2024.
Article em En | MEDLINE | ID: mdl-38343728
ABSTRACT
Chest pain is the second leading cause of all emergency department (ED) visits in adults in the United States, with nearly 11 million encounters yearly. While identifying low-risk patients is crucial for early discharge, identifying high-risk patients in ED is vital in timely and appropriate acute coronary syndrome (ACS) management. Traditional methods such as physical examination, cardiac markers, or imaging tests cannot reliably confirm or rule out ACS; they cannot be singularly incorporated to risk stratify patients. Various clinical risk scores have been proposed to address this challenge for risk stratification in patients being evaluated for suspected ACS. The ideal risk score should demonstrate high sensitivity and specificity to accurately differentiate between patients with varying levels of risk, particularly in identifying those at high risk for major adverse cardiovascular events. Simultaneously, an ideal scoring system should also be able to compute information for other non-coronary etiologies of chest pain that require time-sensitive interventions and workups (eg, aortic dissection and pulmonary embolism). In this review, we have assembled major risk scores used for risk stratification in patients with acute chest pain in ED. We have abbreviated their salient features to assist readers in their clinical decision-making.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Open Access Emerg Med Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Open Access Emerg Med Ano de publicação: 2024 Tipo de documento: Article