The value of myocardial work in assessment of ventricular function in patients with non-obstructive hypertrophic cardiomyopathy

Yang, Chenguang; Guo, Ying; Wang, Xiang; Zhang, Ruisheng; Wang, Fang; Zhu, Huolan

doi:10.1186/s12872-022-02740-4

Cited by 3 publications

(1 citation statement)

References 33 publications

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“…However, dynamic LV unloading experiments clearly demonstrated the dependence of GLS on different preload and afterload conditions [25,26]. Taking into account the LV loading conditions could improve the assessment of LV dysfunction at subclinical stages-especially in different types of LV hypertrophy [27][28][29]. Therefore, a reduced GWI implies possibilities to detect LV dysfunction in AS patients with reduced GLS at subclinical stages.…”

Section: Discussionmentioning

confidence: 99%

Prognostic Relevance of Global Myocardial Work Index in Patients with Moderate Aortic Valve Stenosis

Kandels,

Metze,

Hagendorff

et al. 2023

JCM

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Background: A reduced global myocardial work index (GWI) ≤ 1951 mmHg% is associated with increased mortality in patients with severe aortic valve stenosis (AS). However, parameters predicting the outcome in patients with moderate AS are limited. Therefore, the aim of this study was to evaluate the prognostic value of the GWI in patients with moderate AS. Methods and Results: In this prospective study, 103 patients with moderate AS (mean age 72 ± 10 years; male: 69%) underwent standardized transthoracic echocardiography. The primary endpoint was survival without an aortic valve replacement (AVR). After a median follow-up of 30 ± 5 months, 37 patients (36%) were referred for an AVR. Survival without an AVR was 96% at 12 months and 80% at 30 months (>1951 mmHg%) versus 96% and 68% (≤1951 mmHg%). A GWI ≤ 1951 mmHg% did not predict the need for an AVR (hazard ratio 1.31 (95% CI, 0.63–2.72), p = 0.49). Furthermore, there was no significant correlation between the mean GWI (1644 ± 448 mmHg%) and mean aortic valve pressure gradient (24.2 mmHg ± 6.2, p = 0.615) or effective aortic orifice area (1.24 cm2 ± 0.11, p = 0.678). There was no difference between the AVR and non-AVR groups in the occurrence of clinical symptoms. Conclusion: In contrast to patients with severe AS, a GWI ≤ 1951 mmHg% did not predict the need for an AVR. Further research is needed to improve the risk stratification in patients with moderate AS.

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Section: Discussionmentioning

confidence: 99%

Prognostic Relevance of Global Myocardial Work Index in Patients with Moderate Aortic Valve Stenosis

Kandels,

Metze,

Hagendorff

et al. 2023

JCM

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The Establishment of Hypertrophic Cardiomyopathy Diagnosis Model via Artificial Neural Network and Random Decision Forest Method

Feng

Xiao

et al. 2022

Mediators of Inflammation

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Hypertrophic cardiomyopathy is a hereditary disease characterized by asymmetric ventricular hypertrophy as the key anatomical feature. Currently, there exists no effective method for the early diagnosis of hypertrophic cardiomyopathy. In this analysis, we incorporated multiple GEO datasets containing RNA profiles of hypertrophic cardiomyopathic patient tissues, identified 642 differentially expressed genes, and performed GO and KEGG analyses. Furthermore, we narrowed down 46 characteristic genes from these differentially expressed genes using random decision forests and conducted transcription factor regulation analysis on them. Using 40 genes that showed overlap between the training set and the verification set, the artificial neural network was trained, and the final MPS scoring model was constructed, and a receiver-operating characteristic (ROC) curve was drawn. We used the MPS model to predict the verification dataset and drew the ROC curve, which demonstrated the good prediction performance of the model. In conclusion, this study combines a random decision forest and artificial neural network to build a diagnostic model for hypertrophic cardiomyopathy to predict the disease, aiming at early detection and treatment, prolonging the survival time, and improving the quality of life of patients.

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Evaluation of global and regional myocardial work by echocardiography in patients with Fabry disease

Wang,

Yang,

Liu

et al. 2024

Orphanet J Rare Dis

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Background This study aimed to quantitatively evaluate the left ventricular global and regional myocardial work of patients in Fabry disease (FD) by echocardiographic pressure–strain loop (PSL) analysis. Results The study included 48 patients with FD and 48 healthy controls matched for age and sex. According to the presence/absence of left ventricular hypertrophy (LVH), the patients with FD were divided into an LVH + group and an LVH– group. Left ventricular blood pressure was estimated noninvasively according to echocardiographic valvular events and systolic pressure in the brachial artery. Left ventricular myocardial work parameters were acquired by echocardiographic pressure–strain loop analysis. The FD groups had a significantly lower global longitudinal strain (GLS), global work index, global work efficiency (GWE), global constructive work and higher global waste work than the control group (P < .05). Regional analysis showed that all segmental myocardial waste work increased and myocardial work efficiency decreased in the LVH + group than in the LVH– group (P < .05). Segmental longitudinal strain, myocardial work index, and myocardial constructive work were markedly lower in the basal and middle segments (P < .05) and preserved in the apical segments. Multivariate analysis revealed that GWE and GLS were significant related to LVH. Conclusions Myocardial work analysis can be used to assess global and regional myocardial work in patients with FD. In this study, GLS and GWE were reduced in patients with FD and associated with the presence of LVH. Basal and middle myocardial work decreased in relation to the LVH, while apical myocardial work remained, which added value to explore the distribution of myocardial impairment.

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The value of myocardial work in assessment of ventricular function in patients with non-obstructive hypertrophic cardiomyopathy

Cited by 3 publications

References 33 publications

Prognostic Relevance of Global Myocardial Work Index in Patients with Moderate Aortic Valve Stenosis

Prognostic Relevance of Global Myocardial Work Index in Patients with Moderate Aortic Valve Stenosis

The Establishment of Hypertrophic Cardiomyopathy Diagnosis Model via Artificial Neural Network and Random Decision Forest Method

Evaluation of global and regional myocardial work by echocardiography in patients with Fabry disease

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