Long-term prognostic value of changes in left ventricular global longitudinal strain in patients with heart failure with preserved ejection fraction

Sakaguchi, Eirin; Yamada, Akira; Naruse, Hiroaki; Hattori, Hidekazu; Nishimura, Hideto; Kawai, Hideki; Muramatsu, Takashi; Ishii, Junnichi; Hata, Tadayoshi; Izawa, Hideo

doi:10.1007/s00380-022-02211-y

Cited by 4 publications

(3 citation statements)

References 31 publications

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“…And for every 1% increase in LVGLS, the risk of the composite endpoint increased by 1.05 times, which indicates that LVGLS is an independent risk factor for the composite endpoint (HFH and cardiovascular death) in patients with HFpEF (HR = 1.05, 95% CI: 1.00-1.10, P = 0.03) [ 96 ]. A reduced |LVGLS| is independently associated with the occurrence of clinical adverse outcomes ( P < 0.001) [ 97 , 98 ]. However, the optimal cut-off value remains to be explored.…”

Section: Resultsmentioning

confidence: 99%

Risk Prediction Models and Novel Prognostic Factors for Heart Failure with Preserved Ejection Fraction: A Systematic and Comprehensive Review

Lin,

Yang,

Liu

et al. 2023

CPD

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Background: Patients with heart failure with preserved ejection fraction (HFpEF) have large individual differences, unclear risk stratification, and imperfect treatment plans. Risk prediction models are helpful for the dynamic assessment of patients' prognostic risk and early intensive therapy of high-risk patients. The purpose of this study is to systematically summarize the existing risk prediction models and novel prognostic factors for HFpEF, to provide a reference for the construction of convenient and efficient HFpEF risk prediction models. Methods: Studies on risk prediction models and prognostic factors for HFpEF were systematically searched in relevant databases including PubMed and Embase. The retrieval time was from inception to February 1, 2023. The Quality in Prognosis Studies (QUIPS) tool was used to assess the risk of bias in included studies. The predictive value of risk prediction models for end outcomes was evaluated by sensitivity, specificity, the area under the curve, C-statistic, C-index, etc. In the literature screening process, potential novel prognostic factors with high value were explored. Results: A total of 21 eligible HFpEF risk prediction models and 22 relevant studies were included. Except for 2 studies with a high risk of bias and 2 studies with a moderate risk of bias, other studies that proposed risk prediction models had a low risk of bias overall. Potential novel prognostic factors for HFpEF were classified and described in terms of demographic characteristics (age, sex, and race), lifestyle (physical activity, body mass index, weight change, and smoking history), laboratory tests (biomarkers), physical inspection (blood pressure, electrocardiogram, imaging examination), and comorbidities. Conclusion: It is of great significance to explore the potential novel prognostic factors of HFpEF and build a more convenient and efficient risk prediction model for improving the overall prognosis of patients. This review can provide a substantial reference for further research.

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Section: Resultsmentioning

confidence: 99%

Risk Prediction Models and Novel Prognostic Factors for Heart Failure with Preserved Ejection Fraction: A Systematic and Comprehensive Review

Lin,

Yang,

Liu

et al. 2023

CPD

View full text Add to dashboard Cite

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“…These findings are in agreement with clinical studies suggesting that impairments in GLS may occur in early-stage HFpEF. For example, Kosmala et al [ 23 ] demonstrated that in asymptomatic patients with type 2 diabetes mellitus, impaired GLS is independent and incremental to left ventricular hypertrophy in predicting incident HF.…”

Section: Evidence Of Left Ventricular and Atrial Myocardial Strain In...mentioning

confidence: 99%

“…Sakaguchi et al . [ 23 ] demonstrated the enduring prognostic significance of GLS changes in HFpEF patients. Assessing GLS during acute HF hospitalization and in a stable phase, they observed that patients with major cardiovascular events (MACE) had a significantly lower GLS change rate than those without MACE (10,6% vs. 26%; p < 0.001), highlighting impaired GLS as a robust prognostic indicator for a more adverse disease course.…”

Section: Evidence Of Left Ventricular and Atrial Myocardial Strain In...mentioning

confidence: 99%

Left ventricular and atrial myocardial strain in heart failure with preserved ejection fraction: the evidence so far and prospects for phenotyping strategy

Shinzato,

Santos,

Nishida

et al. 2024

Cardiovasc Ultrasound

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Background Heart failure with preserved ejection fraction (HFpEF) represents a significant proportion of heart failure cases. Accurate diagnosis is challenging due to the heterogeneous nature of the disease and limitations in traditional echocardiographic parameters. Main body This review appraises the application of Global Longitudinal Strain (GLS) and Left Atrial Strain (LAS) as echocardiographic biomarkers in the diagnosis and phenotyping of HFpEF. Strain imaging, particularly Speckle Tracking Echocardiography, offers a superior assessment of myocardial deformation, providing a more detailed insight into left heart function than traditional metrics. Normal ranges for GLS and LAS are considered, acknowledging the impact of demographic and technical factors on these values. Clinical studies have demonstrated the prognostic value of GLS and LAS in HFpEF, especially in predicting cardiovascular outcomes and distinguishing HFpEF from other causes of dyspnea. Nevertheless, the variability of strain measurements and the potential for false-negative results underline the need for careful clinical interpretation. The HFA-PEFF scoring system's integration of these biomarkers, although systematic, reveals gaps in addressing the full spectrum of HFpEF pathology. The combined use of GLS and LAS has been suggested to define HFpEF phenogroups, which could lead to more personalized treatment plans. Conclusion GLS and LAS have emerged as pivotal tools in the non-invasive diagnosis and stratification of HFpEF, offering a promise for tailored therapeutic strategies. Despite their potential, a structured approach to incorporating these biomarkers into standard diagnostic workflows is essential. Future clinical guidelines should include clear directives for the combined utilization of GLS and LAS, accentuating their role in the multidimensional assessment of HFpEF.

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Assessment of left atrial deformation in patients with total anomalous pulmonary venous connection by two-dimensional speckle-tracking echocardiography

et al. 2023

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Long-term prognostic value of changes in left ventricular global longitudinal strain in patients with heart failure with preserved ejection fraction

Cited by 4 publications

References 31 publications

Risk Prediction Models and Novel Prognostic Factors for Heart Failure with Preserved Ejection Fraction: A Systematic and Comprehensive Review

Risk Prediction Models and Novel Prognostic Factors for Heart Failure with Preserved Ejection Fraction: A Systematic and Comprehensive Review

Left ventricular and atrial myocardial strain in heart failure with preserved ejection fraction: the evidence so far and prospects for phenotyping strategy

Assessment of left atrial deformation in patients with total anomalous pulmonary venous connection by two-dimensional speckle-tracking echocardiography

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