Personalised risk prediction following emergency department assessment for syncope.


Journal

Emergency medicine journal : EMJ
ISSN: 1472-0213
Titre abrégé: Emerg Med J
Pays: England
ID NLM: 100963089

Informations de publication

Date de publication:
Jul 2022
Historique:
received: 23 12 2020
accepted: 26 09 2021
pubmed: 7 11 2021
medline: 25 6 2022
entrez: 6 11 2021
Statut: ppublish

Résumé

Published risk tools do not provide possible management options for syncope in the emergency department (ED). Using the 30-day observed risk estimates based on the Canadian Syncope Risk Score (CSRS), we developed personalised risk prediction to guide management decisions. We pooled previously reported data from two large cohort studies, the CSRS derivation and validation cohorts, that prospectively enrolled adults (≥16 years) with syncope at 11 Canadian EDs between 2010 and 2018. Using this larger cohort, we calculated the CSRS calibration and discrimination, and determined with greater precision than in previous studies the 30-day risk of adjudicated serious outcomes not identified during the index ED evaluation depending on the CSRS and the risk category. Based on these findings, we developed an on-line calculator and pictorial decision aids. 8233 patients were included of whom 295 (3.6%, 95% CI 3.2% to 4.0%) experienced 30-day serious outcomes. The calibration slope was 1.0, and the area under the curve was 0.88 (95% CI 0.87 to 0.91). The observed risk increased from 0.3% (95% CI 0.2% to 0.5%) in the very-low-risk group (CSRS -3 to -2) to 42.7% (95% CI 35.0% to 50.7%), in the very-high-risk (CSRS≥+6) group (Cochrane-Armitage trend test p<0.001). Among the very-low and low-risk patients (score -3 to 0), ≤1.0% had any serious outcome, there was one death due to sepsis and none suffered a ventricular arrhythmia. Among the medium-risk patients (score +1 to+3), 7.8% had serious outcomes, with <1% death, and a serious outcome was present in >20% of high/very-high-risk patients (score +4 to+11) including 4%-6% deaths. The online calculator and the pictorial aids can be found at: https://teamvenk.com/csrs CONCLUSIONS: 30-day observed risk estimates from a large cohort of patients can be obtained for management decision-making. Our work suggests very-low-risk and low-risk patients may be discharged, discussion with patients regarding investigations and disposition are needed for medium-risk patients, and high-risk patients should be hospitalised. The online calculator, accompanied by pictorial decision aids for the CSRS, may assist in discussion with patients.

Sections du résumé

BACKGROUND BACKGROUND
Published risk tools do not provide possible management options for syncope in the emergency department (ED). Using the 30-day observed risk estimates based on the Canadian Syncope Risk Score (CSRS), we developed personalised risk prediction to guide management decisions.
METHODS METHODS
We pooled previously reported data from two large cohort studies, the CSRS derivation and validation cohorts, that prospectively enrolled adults (≥16 years) with syncope at 11 Canadian EDs between 2010 and 2018. Using this larger cohort, we calculated the CSRS calibration and discrimination, and determined with greater precision than in previous studies the 30-day risk of adjudicated serious outcomes not identified during the index ED evaluation depending on the CSRS and the risk category. Based on these findings, we developed an on-line calculator and pictorial decision aids.
RESULTS RESULTS
8233 patients were included of whom 295 (3.6%, 95% CI 3.2% to 4.0%) experienced 30-day serious outcomes. The calibration slope was 1.0, and the area under the curve was 0.88 (95% CI 0.87 to 0.91). The observed risk increased from 0.3% (95% CI 0.2% to 0.5%) in the very-low-risk group (CSRS -3 to -2) to 42.7% (95% CI 35.0% to 50.7%), in the very-high-risk (CSRS≥+6) group (Cochrane-Armitage trend test p<0.001). Among the very-low and low-risk patients (score -3 to 0), ≤1.0% had any serious outcome, there was one death due to sepsis and none suffered a ventricular arrhythmia. Among the medium-risk patients (score +1 to+3), 7.8% had serious outcomes, with <1% death, and a serious outcome was present in >20% of high/very-high-risk patients (score +4 to+11) including 4%-6% deaths. The online calculator and the pictorial aids can be found at: https://teamvenk.com/csrs CONCLUSIONS: 30-day observed risk estimates from a large cohort of patients can be obtained for management decision-making. Our work suggests very-low-risk and low-risk patients may be discharged, discussion with patients regarding investigations and disposition are needed for medium-risk patients, and high-risk patients should be hospitalised. The online calculator, accompanied by pictorial decision aids for the CSRS, may assist in discussion with patients.

Identifiants

pubmed: 34740890
pii: emermed-2020-211095
doi: 10.1136/emermed-2020-211095
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

501-507

Informations de copyright

© Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Venkatesh Thiruganasambandamoorthy (V)

Department of Emergency Medicine, University of Ottawa, Ottawa, Ontario, Canada vthirug@ohri.ca.
Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada.

Justin W Yan (JW)

Division of Emergency Medicine, Western University, London, Ontario, Canada.

Brian H Rowe (BH)

Department of Emergency Medicine and School of Public Health, University of Alberta, Edmonton, Alberta, Canada.

Éric Mercier (É)

Department of Family Medicine and Emergency Medicine, Universite Laval Faculte de Medecine, Quebec, Quebec, Canada.
CHU de Québec-Université Laval Research Centre, CHU de Quebec-Universite Laval, Quebec City, Quebec, Canada.

Natalie Le Sage (N)

Department of Family Medicine and Emergency Medicine, Universite Laval Faculte de Medecine, Quebec, Quebec, Canada.
CHU de Québec-Université Laval Research Centre, CHU de Quebec-Universite Laval, Quebec City, Quebec, Canada.

Mona Hegdekar (M)

Department of Emergency Medicine, University of Manitoba, Winnipeg, Manitoba, Canada.

Anne Finlayson (A)

Department of Emergency Medicine, University of Manitoba, Winnipeg, Manitoba, Canada.

Paul Huang (P)

Department of Emergency Medicine, The University of British Columbia, Vancouver, British Columbia, Canada.

Hassan Mohammad (H)

Faculty of Technology and Trades, Algonquin College, Ottawa, Ontario, Canada.

Muhammad Mukarram (M)

Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.

Phuong Anh Iris Nguyen (PAI)

Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.

Shahbaz Syed (S)

Department of Emergency Medicine, University of Ottawa, Ottawa, Ontario, Canada.

Andrew D McRae (AD)

Department of Emergency Medicine, and Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.

Marie-Joe Nemnom (MJ)

Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.

Monica Taljaard (M)

Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada.

Marco LA Silviotti (M)

Departments of Emergency Medicine and Biomedical, and Molecular Sciences, Queen's University, Kingston, Ontario, Canada.

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