Evidence map›Paper›PMID 42002729›Full record

ArticleCardiovascular ultrasound2026

Surgical aortic valve replacement in severe left ventricular dysfunction: mortality, echocardiographic, and strain outcomes.

Roslan Aslannif, Si Ling Soh, Yee Sin Tey, Am Haris Norhaliza, Teo Jassie, Lynne Murray Rowina, Kee Soon Chong, Kian Boon Wong, Dillon Jeswant, Mohamed Yunus Alwi and 1 more

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

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Roslan AslannifCardiology department, National Heart Institute of Malaysia, Kuala Lumpur, Malaysia. Elysess1@gmail.com.
Si Ling SohCardiology department, National Heart Institute of Malaysia, Kuala Lumpur, Malaysia.
Yee Sin TeyCardiology department, National Heart Institute of Malaysia, Kuala Lumpur, Malaysia.
Am Haris NorhalizaCardiology department, National Heart Institute of Malaysia, Kuala Lumpur, Malaysia.
Teo JassieCardiology department, National Heart Institute of Malaysia, Kuala Lumpur, Malaysia.
Lynne Murray RowinaCardiology department, National Heart Institute of Malaysia, Kuala Lumpur, Malaysia.
Kee Soon ChongCardiothoracic department, National Heart Institute of Malaysia, Kuala Lumpur, Malaysia.
Kian Boon WongCardiology department, National Heart Institute of Malaysia, Kuala Lumpur, Malaysia.
Dillon JeswantCardiothoracic department, National Heart Institute of Malaysia, Kuala Lumpur, Malaysia.
Mohamed Yunus AlwiCardiothoracic department, National Heart Institute of Malaysia, Kuala Lumpur, Malaysia.
Mohd Ghazi AzmeeCardiology department, National Heart Institute of Malaysia, Kuala Lumpur, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with severe left ventricular (LV) dysfunction (ejection fraction [EF] ≤ 35%) undergoing surgical aortic valve replacement (SAVR) are considered high-risk patients. This study evaluated contemporary outcomes in such patients undergoing SAVR for severe aortic stenosis (AS) or aortic regurgitation (AR) and identified clinical and echocardiographic predictors of mortality.

methodsThis retrospective cohort study included 84 patients (> 18 years) with EF ≤ 35% who underwent SAVR between 2015 and 2024. The cohort comprised 53 patients with AS and 31 with AR. Clinical, echocardiographic, and myocardial strain data were collected before and 6 months after SAVR. Mortality data were obtained from national registries, with follow-up through March 2025. Cox proportional hazards models were used to identify mortality predictors.

resultsMedian EF was 28% in AS and 31.1% in AR. Patients with AR were significantly younger than AS (44 vs. 63 years, p < 0.001). In-hospital mortality for AS was 9.4%, increasing to 13.2% at 1 year and 43.4% at 55 months. AR patients showed no in-hospital deaths and 32.3% mortality at 55 months. Eight-year survival was 38.7% in patients with AS and 43.1% in patients with AR. In AS, creatinine (hazard ratio [HR] = 1.01, p = 0.022) and preoperative peak velocity (HR = 0.52, p = 0.020) predicted mortality. In AR, only length of hospital stays (HR = 1.13, p = 0.017) was predictive.

conclusionSAVR in severe LV dysfunction offers better medium-term survival, with clinical factors guiding prognosis.

trial registrationInstitut Jantung Negara Ethics Committee (IJNREC/779/2025).

Indexed as

Aortic ValveAortic Valve InsufficiencyAortic Valve StenosisEchocardiographyHeart Valve Prosthesis ImplantationStroke VolumeVentricular Dysfunction, LeftAgedFemaleFollow-Up StudiesHospital MortalityHumansMaleMiddle AgedRetrospective StudiesSeverity of Illness IndexMortalitySevere aortic regurgitationSevere aortic stenosisSevere left ventricle dysfunctionStrain

Identifiers

PMID42002729
PMCPMC13094150

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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.