Refining the World Health Organization Definition: Predicting Autopsy-Defined Sudden Arrhythmic Deaths Among Presumed Sudden Cardiac Deaths in the POST SCD Study.


Journal

Circulation. Arrhythmia and electrophysiology
ISSN: 1941-3084
Titre abrégé: Circ Arrhythm Electrophysiol
Pays: United States
ID NLM: 101474365

Informations de publication

Date de publication:
07 2019
Historique:
entrez: 29 6 2019
pubmed: 30 6 2019
medline: 17 3 2020
Statut: ppublish

Résumé

Conventional definitions of sudden cardiac death (SCD) presume cardiac cause. We studied the World Health Organization-defined SCDs autopsied in the POST SCD study (Postmortem Systematic Investigation of SCD) to determine whether premortem characteristics could identify autopsy-defined sudden arrhythmic death (SAD) among presumed SCDs. Between January 2, 2011, and January 4, 2016, we prospectively identified all 615 World Health Organization-defined SCDs (144 witnessed) 18 to 90 years in San Francisco County for medical record review and autopsy via medical examiner surveillance. Autopsy-defined SADs had no extracardiac or acute heart failure cause of death. We used 2 nested sets of premortem predictors-an emergency medical system set and a comprehensive set adding medical record data-to develop Least Absolute Selection and Shrinkage Operator models of SAD among witnessed and unwitnessed cohorts. Of 615 presumed SCDs, 348 (57%) were autopsy-defined SAD. For witnessed cases, the emergency medical system model (area under the receiver operator curve 0.75 [0.67-0.82]) included presenting rhythm of ventricular tachycardia/fibrillation and pulseless electrical activity, while the comprehensive (area under the receiver operator curve 0.78 [0.70-0.84]) added depression. If only ventricular tachycardia/fibrillation witnessed cases (n=48) were classified as SAD, sensitivity was 0.46 (0.36-0.57), and specificity was 0.90 (0.79-0.97). For unwitnessed cases, the emergency medical system model (area under the receiver operator curve 0.68 [0.64-0.73]) included black race, male sex, age, and time since last seen normal, while the comprehensive (area under the receiver operator curve 0.75 [0.71-0.79]) added use of β-blockers, antidepressants, QT-prolonging drugs, opiates, illicit drugs, and dyslipidemia. If only unwitnessed cases <1 hour (n=59) were classified as SAD, sensitivity was 0.18 (0.13-0.22) and specificity was 0.95 (0.90-0.97). Our models identify premortem characteristics that can better specify autopsy-defined SAD among presumed SCDs and suggest the World Health Organization definition can be improved by restricting witnessed SCDs to ventricular tachycardia/fibrillation or nonpulseless electrical activity rhythms and unwitnessed cases to <1 hour since last normal, at the cost of sensitivity.

Sections du résumé

BACKGROUND
Conventional definitions of sudden cardiac death (SCD) presume cardiac cause. We studied the World Health Organization-defined SCDs autopsied in the POST SCD study (Postmortem Systematic Investigation of SCD) to determine whether premortem characteristics could identify autopsy-defined sudden arrhythmic death (SAD) among presumed SCDs.
METHODS
Between January 2, 2011, and January 4, 2016, we prospectively identified all 615 World Health Organization-defined SCDs (144 witnessed) 18 to 90 years in San Francisco County for medical record review and autopsy via medical examiner surveillance. Autopsy-defined SADs had no extracardiac or acute heart failure cause of death. We used 2 nested sets of premortem predictors-an emergency medical system set and a comprehensive set adding medical record data-to develop Least Absolute Selection and Shrinkage Operator models of SAD among witnessed and unwitnessed cohorts.
RESULTS
Of 615 presumed SCDs, 348 (57%) were autopsy-defined SAD. For witnessed cases, the emergency medical system model (area under the receiver operator curve 0.75 [0.67-0.82]) included presenting rhythm of ventricular tachycardia/fibrillation and pulseless electrical activity, while the comprehensive (area under the receiver operator curve 0.78 [0.70-0.84]) added depression. If only ventricular tachycardia/fibrillation witnessed cases (n=48) were classified as SAD, sensitivity was 0.46 (0.36-0.57), and specificity was 0.90 (0.79-0.97). For unwitnessed cases, the emergency medical system model (area under the receiver operator curve 0.68 [0.64-0.73]) included black race, male sex, age, and time since last seen normal, while the comprehensive (area under the receiver operator curve 0.75 [0.71-0.79]) added use of β-blockers, antidepressants, QT-prolonging drugs, opiates, illicit drugs, and dyslipidemia. If only unwitnessed cases <1 hour (n=59) were classified as SAD, sensitivity was 0.18 (0.13-0.22) and specificity was 0.95 (0.90-0.97).
CONCLUSIONS
Our models identify premortem characteristics that can better specify autopsy-defined SAD among presumed SCDs and suggest the World Health Organization definition can be improved by restricting witnessed SCDs to ventricular tachycardia/fibrillation or nonpulseless electrical activity rhythms and unwitnessed cases to <1 hour since last normal, at the cost of sensitivity.

Identifiants

pubmed: 31248279
doi: 10.1161/CIRCEP.119.007171
pmc: PMC6738572
mid: NIHMS1527956
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

e007171

Subventions

Organisme : NHLBI NIH HHS
ID : R01 HL102090
Pays : United States

Commentaires et corrections

Type : CommentIn

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Auteurs

Zian H Tseng (ZH)

Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine (Z.H.T., J.E.O., A.B., J.P.), University of California.

James W Salazar (JW)

Department of Medicine (J.W.S.), University of California.

Jeffrey E Olgin (JE)

Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine (Z.H.T., J.E.O., A.B., J.P.), University of California.

Philip C Ursell (PC)

Department of Pathology (P.C.U.), University of California.

Anthony S Kim (AS)

Department of Neurology (A.S.K.), University of California.

Annie Bedigian (A)

Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine (Z.H.T., J.E.O., A.B., J.P.), University of California.

Joanne Probert (J)

Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine (Z.H.T., J.E.O., A.B., J.P.), University of California.

Amy P Hart (AP)

Office of the Chief Medical Examiner, City and County of San Francisco, CA (A.P.H., E.M.).

Ellen Moffatt (E)

Office of the Chief Medical Examiner, City and County of San Francisco, CA (A.P.H., E.M.).

Eric Vittinghoff (E)

Department of Epidemiology and Biostatistics (E.V.), University of California.

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