Evidence map›Paper›PMID 42741509›Full record

ArticleEuropean heart journal open2026

Prediction of left atrial appendage dysfunction by atrial strain imaging in patients with rheumatic mitral stenosis in sinus rhythm.

Jamal Yusuf, Gaurav Sharma, Ankit Bansal, Vimal Mehta, Ankur Gautam, Lovedeep Singh, Mohit D Gupta, Rajat Chaudhary, Vishal Batra, Girish M Palleda and 4 more

Abstract read
In one paragraph

Article in European heart journal open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Jamal YusufDepartment of Cardiology, Govind Ballabh Pant Institute of Postgraduate Medical Education & Research, Room No. 127, First Floor, Academic Block, New Delhi, Delhi 110002, India.ORCID https://orcid.org/0000-0002-0621-1509
Gaurav SharmaDepartment of Cardiology, Govind Ballabh Pant Institute of Postgraduate Medical Education & Research, Room No. 127, First Floor, Academic Block, New Delhi, Delhi 110002, India.ORCID https://orcid.org/0000-0003-3013-8070
Ankit BansalDepartment of Cardiology, Govind Ballabh Pant Institute of Postgraduate Medical Education & Research, Room No. 127, First Floor, Academic Block, New Delhi, Delhi 110002, India.
Vimal MehtaDepartment of Cardiology, Govind Ballabh Pant Institute of Postgraduate Medical Education & Research, Room No. 127, First Floor, Academic Block, New Delhi, Delhi 110002, India.ORCID https://orcid.org/0000-0002-3762-2618
Ankur GautamDepartment of Cardiology, Govind Ballabh Pant Institute of Postgraduate Medical Education & Research, Room No. 127, First Floor, Academic Block, New Delhi, Delhi 110002, India.
Lovedeep SinghDepartment of Cardiology, Govind Ballabh Pant Institute of Postgraduate Medical Education & Research, Room No. 127, First Floor, Academic Block, New Delhi, Delhi 110002, India.
Mohit D GuptaDepartment of Cardiology, Govind Ballabh Pant Institute of Postgraduate Medical Education & Research, Room No. 127, First Floor, Academic Block, New Delhi, Delhi 110002, India.
Rajat ChaudharyDepartment of Cardiology, Govind Ballabh Pant Institute of Postgraduate Medical Education & Research, Room No. 127, First Floor, Academic Block, New Delhi, Delhi 110002, India.
Vishal BatraDepartment of Cardiology, Govind Ballabh Pant Institute of Postgraduate Medical Education & Research, Room No. 127, First Floor, Academic Block, New Delhi, Delhi 110002, India.ORCID https://orcid.org/0000-0002-5583-7743
Girish M PalledaDepartment of Cardiology, Govind Ballabh Pant Institute of Postgraduate Medical Education & Research, Room No. 127, First Floor, Academic Block, New Delhi, Delhi 110002, India.
Safal SafalDepartment of Cardiology, Govind Ballabh Pant Institute of Postgraduate Medical Education & Research, Room No. 127, First Floor, Academic Block, New Delhi, Delhi 110002, India.
Arima NigamDepartment of Cardiology, Govind Ballabh Pant Institute of Postgraduate Medical Education & Research, Room No. 127, First Floor, Academic Block, New Delhi, Delhi 110002, India.
Sumod KurianDepartment of Cardiology, Govind Ballabh Pant Institute of Postgraduate Medical Education & Research, Room No. 127, First Floor, Academic Block, New Delhi, Delhi 110002, India.
Partho P SenguptaDepartment of Cardiovascular Medicine, Mayo Clinic Health System, Mayo Clinic, 200 First Street SW, Rochestser, MNRochestser, MN 55905, USA.ORCID https://orcid.org/0000-0003-2291-5001

Funding

REVISED CAROL ACT IIU01HL088942 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GELIJNS, ANNE CHRISTINE, MOSKOWITZ, ALAN J · 2007 to 2025
$122.6M
Rutgers-NYU Center for Asian Health Promotion and EquityP50MD017356 · NIMHD · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI BYRD-BREDBENNER, DEBRA CAROL · 2021 to 2025
$11.6M
Cardiac Ultrasound Radiomics-Guided Deep Neural Networks for Acute Myocardial Infarction Precision PhenotypingR01HL173998 · NHLBI · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI Partho P Sengupta · 2025 to 2026
$1.2M
NHLBI NIH HHS R01 HL173998NHLBI NIH HHS U01 HL088942NIMHD NIH HHS P50 MD017356
6 · The paper itself

Abstract

Aims: In severe rheumatic mitral stenosis (MS) with sinus rhythm, left atrial appendage (LAA) dysfunction increases thromboembolic risk, yet clinical guidelines provide no recommendations, and its assessment via transoesophageal echocardiography is not feasible for routine or repeated use. This study assessed whether left atrial (LA) strain imaging could non-invasively predict LAA contractile dysfunction. Methods and results: We prospectively enrolled 138 patients with severe rheumatic MS in sinus rhythm who underwent transthoracic and transoesophageal echocardiography. Left atrial appendage inactivity was defined as LAA emptying velocity < 25 cm/s. Left atrial reservoir strain (LASr), conduit, and contractile strain were quantified using speckle-tracking echocardiography. Multivariable logistic regression and receiver operating characteristic analyses were performed to evaluate predictors of LAA inactivity. Left atrial appendage inactivity was observed in 108 patients (78.2%), and LAA thrombus was detected in eight patients (5.8%)-all in sinus rhythm. In multivariate analysis, LASr was the strongest independent predictor of LAA inactivity [odds ratio: 0.61 per 1% increase; 95% confidence interval (CI): 0.50-0.75; Conclusion: Left atrial strain imaging provides a robust non-invasive predictor of LAA dysfunction in severe rheumatic MS patients in sinus rhythm. These findings support the potential clinical utility of LA strain in improving risk stratification and guiding anticoagulation decisions in this under-recognized high-risk population.

Indexed as

Left atrial appendageLeft atrial strainMitral stenosisSinus rhythm

Identifiers

PMID42741509
PMCPMC13574500

What OpenQuestion holds

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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.