Evidence map›Paper›PMID 37640599›Full record

ArticleThe Lancet. Digital health2023

Warning symptoms associated with imminent sudden cardiac arrest: a population-based case-control study with external validation.

Kyndaron Reinier, Bernadine Dizon, Harpriya Chugh, Ziana Bhanji, Madison Seifer, Arayik Sargsyan, Audrey Uy-Evanado, Faye L Norby, Kotoka Nakamura, Katy Hadduck and 6 more

Open access · goldAbstract read
In one paragraph

Article in The Lancet. Digital health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
6.6field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Observational
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  8. Sudden cardiac death associated with fatty liver disease.International journal of cardiology. Heart & vasculature · 2025
    Article
  9. [Early classification and recognition algorithm for sudden cardiac arrest based on limited electrocardiogram data trained with a two-stages convolutional neural network].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024
    Article
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  11. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 5 institutions in 1 country.

Kyndaron ReinierCenter for Cardiac Arrest Prevention, Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, CA, USA.
Bernadine DizonCenter for Cardiac Arrest Prevention, Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, CA, USA.
Harpriya ChughCenter for Cardiac Arrest Prevention, Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, CA, USA.
Ziana BhanjiCenter for Cardiac Arrest Prevention, Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, CA, USA.
Madison SeiferCenter for Cardiac Arrest Prevention, Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, CA, USA.
Arayik SargsyanCenter for Cardiac Arrest Prevention, Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, CA, USA.
Audrey Uy-EvanadoCenter for Cardiac Arrest Prevention, Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, CA, USA.
Faye L NorbyCenter for Cardiac Arrest Prevention, Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, CA, USA.
Kotoka NakamuraCenter for Cardiac Arrest Prevention, Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, CA, USA.
Katy HadduckVentura County Health Care Agency, Ventura, CA, USA.
Daniel ShepherdVentura County Health Care Agency, Ventura, CA, USA.
Tristan GroganDepartment of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
David ElashoffDepartment of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Jonathan JuiDepartment of Emergency Medicine, Oregon Health and Science University, Portland, OR, USA.
Angelo SalvucciVentura County Health Care Agency, Ventura, CA, USA.
Sumeet S ChughCenter for Cardiac Arrest Prevention, Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, CA, USA; Division of Artificial Intelligence in Medicine, Department of Medicine, Cedars-Sinai Health System, Los Angeles, CA, USA. Electronic address: sumeet.chugh@cshs.org.
Sinai Health System · USCedars-Sinai Smidt Heart Institute · USVentura County Health Care Agency · USUniversity of California, Los Angeles · USOregon Health & Science University · US

Funding

Prediction of imminent sudden cardiac death based on warning signsR01HL147358 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI CHUGH, SUMEET S. · 2020 to 2023
$3.2M
Improving PrEP protection of transgender women through mechanistic pharmacokinetic understandingR01AI145675 · NIAID · JOHNS HOPKINS UNIVERSITY · PI MARZINKE, MARK A · 2019 to 2024
$2.9M
Community-Based Evaluation of Sudden Cardiac Death in Hispanics/LatinosR01HL145675 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI CHUGH, SUMEET S. · 2019 to 2023
$2.4M
Sudden Death Associated with Substance UseK01HL164764 · NHLBI · UNIVERSITY OF MINNESOTA · PI Faye Norby · 2022 to 2026
$706k
NHLBI NIH HHS K01 HL164764NHLBI NIH HHS R01 HL145675NHLBI NIH HHS R01 HL147358NIAID NIH HHS R01 AI145675
6 · The paper itself

Abstract

backgroundSudden cardiac arrest is a global public health problem with a mortality rate of more than 90%. Prearrest warning symptoms could be harnessed using digital technology to potentially improve survival outcomes. We aimed to estimate the strength of association between symptoms and imminent sudden cardiac arrest.

methodsWe conducted a case-control study of individuals with sudden cardiac arrest and participants without sudden cardiac arrest who had similar symptoms identified from two US community-based studies of patients with sudden cardiac arrest in California state, USA (discovery population; the Ventura Prediction of Sudden Death in Multi-Ethnic Communities [PRESTO] study), and Oregon state, USA (replication population; the Oregon Sudden Unexpected Death Study [SUDS]). Participant data were obtained from emergency medical services reports for people aged 18-85 years with witnessed sudden cardiac arrest (between Feb 1, 2015, and Jan 31, 2021) and an inclusion symptom. Data were also obtained from corresponding control populations without sudden cardiac arrest who were attended by emergency medical services for similar symptoms (between Jan 1 and Dec 31, 2019). We evaluated the association of symptoms with sudden cardiac arrest in the discovery population and validated our results in the replication population by use of logistic regression models.

findingsWe identified 1672 individuals with sudden cardiac arrest from the PRESTO study, of whom 411 patients (mean age 65·7 [SD 12·4] years; 125 women and 286 men) were included in the analysis for the discovery population. From a total of 76 734 calls to emergency medical services, 1171 patients (mean age 61·8 [SD 17·3] years; 643 women, 514 men, and 14 participants without data for sex) were included in the control group. Patients with sudden cardiac arrest were more likely to have dyspnoea (168 [41%] of 411 vs 262 [22%] of 1171; p<0·0001), chest pain (136 [33%] vs 296 [25%]; p=0·0022), diaphoresis (50 [12%] vs 90 [8%]; p=0·0059), and seizure-like activity (43 [11%] vs 77 [7%], p=0·011). Symptom frequencies and patterns differed significantly by sex. Among men, chest pain (odds ratio [OR] 2·2, 95% CI 1·6-3·0), dyspnoea (2·2, 1·6-3·0), and diaphoresis (1·7, 1·1-2·7) were significantly associated with sudden cardiac arrest, whereas among women, only dyspnoea was significantly associated with sudden cardiac arrest (2·9, 1·9-4·3). 427 patients with sudden cardiac arrest (mean age 62·2 [SD 13·5]; 122 women and 305 men) were included in the analysis for the replication population and 1238 patients (mean age 59·3 [16·5] years; 689 women, 548 men, and one participant missing data for sex) were included in the control group. Findings were mostly consistent in the replication population; however, notable differences included that, among men, diaphoresis was not associated with sudden cardiac arrest and chest pain was associated with sudden cardiac arrest only in the sex-stratified multivariable analysis.

interpretationThe prevalence of warning symptoms was sex-specific and differed significantly between patients with sudden cardiac arrest and controls. Warning symptoms hold promise for prediction of imminent sudden cardiac arrest but might need to be augmented with additional features to maximise predictive power.

fundingUS National Heart Lung and Blood Institute.

Indexed as

Heart ArrestAgedCase-Control StudiesChest PainDeath, Sudden, CardiacDyspneaFemaleHumansMaleMiddle Aged

Identifiers

PMID37640599
PMCPMC10746352
OpenAlexW4386188640

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.