Literature DB >> 31668571

Risk Stratification of Older Adults Who Present to the Emergency Department With Syncope: The FAINT Score.

Marc A Probst1, Thomas Gibson2, Robert E Weiss2, Annick N Yagapen3, Susan E Malveau3, David H Adler4, Aveh Bastani5, Christopher W Baugh6, Jeffrey M Caterino7, Carol L Clark8, Deborah B Diercks9, Judd E Hollander10, Bret A Nicks11, Daniel K Nishijima12, Manish N Shah13, Kirk A Stiffler14, Alan B Storrow15, Scott T Wilber14, Benjamin C Sun16.   

Abstract

STUDY
OBJECTIVE: Older adults with syncope are commonly treated in the emergency department (ED). We seek to derive a novel risk-stratification tool to predict 30-day serious cardiac outcomes.
METHODS: We performed a prospective, observational study of older adults (≥60 years) with unexplained syncope or near syncope who presented to 11 EDs in the United States. Patients with a serious diagnosis identified in the ED were excluded. We collected clinical and laboratory data on all patients. Our primary outcome was 30-day all-cause mortality or serious cardiac outcome.
RESULTS: We enrolled 3,177 older adults with unexplained syncope or near syncope between April 2013 and September 2016. Mean age was 73 years (SD 9.0 years). The incidence of the primary outcome was 5.7% (95% confidence interval [CI] 4.9% to 6.5%). Using Bayesian logistic regression, we derived the FAINT score: history of heart failure, history of cardiac arrhythmia, initial abnormal ECG result, elevated pro B-type natriuretic peptide, and elevated high-sensitivity troponin T. A FAINT score of 0 versus greater than or equal to 1 had sensitivity of 96.7% (95% CI 92.9% to 98.8%) and specificity 22.2% (95% CI 20.7% to 23.8%), respectively. The FAINT score tended to be more accurate than unstructured physician judgment: area under the curve 0.704 (95% CI 0.669 to 0.739) versus 0.630 (95% CI 0.589 to 0.670).
CONCLUSION: Among older adults with syncope or near syncope of potential cardiac cause, a FAINT score of zero had a reasonably high sensitivity for excluding death and serious cardiac outcomes at 30 days. If externally validated, this tool could improve resource use for this common condition.
Copyright © 2019 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.

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Mesh:

Year:  2019        PMID: 31668571      PMCID: PMC6981063          DOI: 10.1016/j.annemergmed.2019.08.429

Source DB:  PubMed          Journal:  Ann Emerg Med        ISSN: 0196-0644            Impact factor:   5.721


  8 in total

1.  Development of a Novel Emergency Department Quality Measure to Reduce Very Low-Risk Syncope Hospitalizations.

Authors:  Marc A Probst; Alexander T Janke; Adrian D Haimovich; Arjun K Venkatesh; Michelle P Lin; Keith E Kocher; Marie-Joe Nemnom; Venkatesh Thiruganasambandamoorthy
Journal:  Ann Emerg Med       Date:  2022-04-27       Impact factor: 6.762

2.  Association Between US Physician Malpractice Claims Rates and Hospital Admission Rates Among Patients With Lower-Risk Syncope.

Authors:  James Quinn; Sukyung Chung; Audrey Murchland; Giovanni Casazza; Giorgio Costantino; Monica Solbiati; Rafaello Furlan
Journal:  JAMA Netw Open       Date:  2020-12-01

3.  Diagnostic value of cardiac troponin I and N-terminal pro-B-Type Natriuretic Peptide in cardiac syncope.

Authors:  Yan Liang; Xiulian Li; Gary Tse; Guangping Li; Wenling Liu; Tong Liu
Journal:  Curr Res Physiol       Date:  2021-01-31

4.  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

Review 5.  A Rational Evaluation of the Syncope Patient: Optimizing the Emergency Department Visit.

Authors:  Tarek Hatoum; Robert S Sheldon
Journal:  Medicina (Kaunas)       Date:  2021-05-21       Impact factor: 2.430

6.  The Accuracy of Interqual Criteria in Determining the Observation versus Inpatient Status in Older Adults with Syncope.

Authors:  Anna Marie Chang; Judd E Hollander; Erica Su; Robert E Weiss; Annick N Yagapen; Susan E Malveau; David H Adler; Aveh Bastani; Christopher W Baugh; Jeffrey M Caterino; Carol L Clark; Deborah B Diercks; Bret A Nicks; Daniel K Nishijima; Manish N Shah; Kirk A Stiffler; Alan B Storrow; Scott T Wilber; Benjamin C Sun
Journal:  J Emerg Med       Date:  2020-04-11       Impact factor: 1.473

7.  Role of qSOFA and SOFA Scoring Systems for Predicting In-Hospital Risk of Deterioration in the Emergency Department.

Authors:  Raúl López-Izquierdo; Pablo Del Brio-Ibañez; Francisco Martín-Rodríguez; Alicia Mohedano-Moriano; Begoña Polonio-López; Clara Maestre-Miquel; Antonio Viñuela; Carlos Durantez-Fernández; Miguel Á Castro Villamor; José L Martín-Conty
Journal:  Int J Environ Res Public Health       Date:  2020-11-12       Impact factor: 3.390

8.  Etiology, risk factors, and prognosis of patients with syncope: A single-center analysis.

Authors:  Lin Ling; Tingting Feng; Xiaofeng Xue; Zicheng Ling
Journal:  Ann Noninvasive Electrocardiol       Date:  2021-09-28       Impact factor: 1.468

  8 in total

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