Evidence map›Paper›PMID 39375178›Full record

ArticleOpen heart2024

Contemporary characteristics, outcomes and novel risk score for Takotsubo cardiomyopathy: a national inpatient sample analysis.

Ankit Agrawal, Umesh Bhagat, Abdullah Yesilyaprak, Aqieda Bayat, Aanchal Sawhney, Aro Daniela Arockiam, Elio Haroun, Michael Faulx, Milind Y Desai, Wael Jaber and 3 more

Abstract readMulticenter Study
In one paragraph

Article in Open heart, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Validation of Takotsubo Syndrome Scoring System.Diagnostics (Basel, Switzerland) · 2025
    Article
  3. 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

13 authors.

Ankit Agrawal *Department of Cardiovascular Medicine, Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA.ORCID 0000-0001-7885-6667
Umesh Bhagat *Department of Hospital Medicine, Cleveland Clinic, Cleveland, Ohio, USA.
Abdullah YesilyaprakDepartment of Internal Medicine, Wayne State University School of Medicine, Detroit, Michigan, USA.
Aqieda BayatDepartment of Cardiovascular Medicine, Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Aanchal SawhneyDepartment of Internal Medicine, Crozer-Chester Medical Center, Upland, Pennsylvania, USA.
Aro Daniela ArockiamDepartment of Cardiovascular Medicine, Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Elio HarounDepartment of Cardiovascular Medicine, Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Michael FaulxDepartment of Cardiovascular Medicine, Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA.ORCID 0000-0002-6946-778X
Milind Y DesaiDepartment of Cardiovascular Medicine, Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Wael JaberDepartment of Cardiovascular Medicine, Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Venu MenonDepartment of Cardiovascular Medicine, Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Brian GriffinDepartment of Cardiovascular Medicine, Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Tom Kai Ming WangDepartment of Cardiovascular Medicine, Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA wangt2@ccf.org.ORCID 0000-0001-5570-9402

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTakotsubo cardiomyopathy (TC) is an established differential diagnosis of myocardial infarction with non-obstructive coronaries with significant interest but limited data on prognostication. We reviewed the characteristics and in-hospital outcomes and developed a novel risk score for TC.

methodsUsing the National Inpatient Sample data from 2016 to 2020, we identified adult patients (≥18 years) with acute coronary syndrome (ACS) and TC. We divided the cohort into ACS with and without TC and retrieved baseline data. Multivariable regression analysis was conducted to identify factors associated with TC diagnosis and adverse outcomes, leading to the development of a risk-scoring system.

resultsAmong 7 219 004 adult ACS admissions, 78 214 (1.0%) were diagnosed with TC, with a mean age of 68.2 years, 64 526 (82.5%) being female and 5475 (7.0%, compared with 8.4% for other ACS) in-hospital mortality events. Factors significantly associated with TC were female sex (OR 6.78 (95% CI 6.47 to 7.09), p<0.001) and chronic heart failure (OR 1.60 (95% CI 1.54 to 1.66), p<0.001). A novel risk score was developed, including the following parameters: male sex, age >70 years, non-white race, hypertension, hyperlipidemia, history of coronary artery bypass grafting, history of percutaneous coronary intervention, cardiac arrhythmias, renal failure, cardiogenic shock and vasopressor use. The area under curves for in-hospital mortality was 0.716 in the derivation and 0.725 in the validation cohorts.

conclusionsTC remains a high-risk diagnosis in a minority of ACS cases, with mortality rates similar to other ACS causes. Our novel risk score offers a valuable tool for risk stratification in patients with TC, but external validation is needed to confirm its utility.

Indexed as

Hospital MortalityInpatientsTakotsubo CardiomyopathyAgedFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk AssessmentRisk FactorsSurvival RateUnited Statesacute coronary syndromecardiac catheterizationcardiomyopathy

Identifiers

PMID39375178
PMCPMC11459304

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.