Evidence map›Paper›PMID 35950517›Full record

ArticleESC heart failure2022

Incremental prognostic value of left atrial strain in patients with heart failure.

Kairui Bo, Yifeng Gao, Zhen Zhou, Xuelian Gao, Tong Liu, Hongkai Zhang, Qing Li, Hui Wang, Lei Xu

Abstract read
In one paragraph

Article in ESC heart failure, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Atorvastatin and left atrial function during anthracycline-based chemotherapy.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025
    Trial
  2. Trial
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  4. Review
  5. Article
  6. Review
  7. Article
  8. The use of cardiac imaging in patients undergoing atrial fibrillation ablation.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2025
    Review
  9. Review
  10. Article
  11. Article
  12. Left Atrial Strain-Current Review of Clinical Applications.Diagnostics (Basel, Switzerland) · 2025
    Review
  13. Atrial cardiomyopathy.ESC heart failure · 2025
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Incremental prognostic value of left atrial and biventricular feature tracking in dilated cardiomyopathy: a long-term study.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023
    Article
  20. Article
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

9 authors.

Kairui BoDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Yifeng GaoDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Zhen ZhouDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Xuelian GaoDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Tong LiuDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Hongkai ZhangDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Qing LiDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Hui WangDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Lei XuDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-8499-0448

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe present study aimed to evaluate the prognostic value of atrial strain and strain rate (SR) parameters derived from cardiac magnetic resonance (CMR) feature tracking (FT) in patients with ischaemic and non-ischaemic dilated cardiomyopathy with heart failure with reduced ejection fraction (HFrEF) but without atrial fibrillation. METHODS AND

resultsA total of 300 patients who underwent CMR with left ventricular ejection fraction (LVEF) ≤ 40% and ischaemic or non-ischaemic dilated cardiomyopathy were analysed in this retrospective study. Major adverse cardiac events (MACEs) include cardiovascular death, heart transplantation, and rehospitalization for worsening HF. Ninety-four patients had MACEs during median follow-up of 3.84 years. Multivariate Cox regression models adjusted for common clinical and CMR risk factors detected a significant association between LA-εs and MACE in ischaemic (HR = 0.94/%; P = 0.002), non-ischaemic dilated cardiomyopathy (HR = 0.88/%; P = 0.001), or all included patients (HR = 0.87; P < 0.001). LA-εs provided incremental prognostic value over conventional outcome predictors (Uno C statistical comparison model: from 0.776 to 0.801, P < 0.0001; net reclassification improvement: 0.075, 95% CI: 0.0262-0.1301). Kaplan-Meier analysis revealed that the risk of MACE occurrence increased significantly with lower tertiles of left atrial reservoir strain (LA-εs) (log-rank P < 0.0001). Patients in the worst LA-εs tertile faced a significantly increased risk of MACEs irrespective of late gadolinium enhancement (LGE) (log-rank P < 0.0001).

conclusionsLA-εs derived from CMR FT has a significant prognostic impact on patients with ischaemic or non-ischaemic dilated cardiomyopathy, incremental to common clinical and CMR risk-factors.

Indexed as

Atrial FibrillationCardiomyopathy, DilatedHeart FailureContrast MediaGadoliniumHumansMagnetic Resonance Imaging, CinePrognosisRetrospective StudiesStroke VolumeVentricular Function, LeftContrast MediaGadoliniumCardiac magnetic resonanceCardiomyopathyFeature trackingLeft atrial strainPrognosis

Identifiers

PMID35950517
PMCPMC9773762

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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.