Resting Measures and Physiological Responses to Exercise for the Determination of Prognosis in Patients With Chronic Heart Failure

Alves, Alberto Jorge; Ribeiro, Fernando; Sagiv, Moran; Eynon, Nir; Chen, Yamin; Sagiv, Michael; Oliveira, José

doi:10.1097/crd.0b013e3181c4ae0c

Cited by 4 publications

(1 citation statement)

References 123 publications

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“…Although angiotensin converting enzyme inhibitor, angiotensin receptor antagonist, and β-receptor blocker could improve the prognosis for patients during the treatment of chronic HF, most of prognostic effects were not satisfactory and 5-year survival after the treatment reached only 50% [35]. Therefore, auxiliary therapeutic devices have been developed to improve clinical symptoms and quality of life, extend survival, and reduce mortality in HF patients.…”

Section: Application Of Ai In Hf Treatment Equipmentmentioning

confidence: 99%

Advances in the Application of Artificial Intelligence Technology in the Frailty State of Elderly Heart Failure Patients

Zhou,

Li,

et al. 2023

Preprint

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With social ageing, the prevalence of heart failure (HF) rises. As an end-stage symptom of heart disease, HF usually shows poor clinical prognosis and even threatens patients’ lives. As a senile syndrome, frailty has significant impacts on the developmental outcomes of HF patients (mortality, readmission rate, and body function). Hence, frailty should be clinically identified and alleviated in time to improve the prognosis for patients. Patients and medical workers should pay more attention to frailty to lower the incidence of adverse events, improve the survival, and prolong survival time among HF patients. Besides, it is essential to perform early clinical diagnosis and treatment of HF. With the development of science, artificial intelligence (AI) shows great potential in heart disease. At present, AI is applied in the auxiliary diagnosis and treatment of HF, which brings about great reform in the prevention, diagnosis, and treatment of clinical diseases. Therefore, brief and comprehensive exploration and analysis were performed on the relationship between senile HF and frailty and the effects of frailty on the prognosis for patients to enable readers to further understand the effects of frailty on HF and to concern more on HF combined with frailty. What’s more, applying AI in the diagnosis and treatment of HF was investigated and its advantages and limitations were analyzed to provide basis for further enhancing performance of AI in HF and improve clinical diagnostic accuracy for HF patients and poor prognosis.

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Section: Application Of Ai In Hf Treatment Equipmentmentioning

confidence: 99%

Advances in the Application of Artificial Intelligence Technology in the Frailty State of Elderly Heart Failure Patients

Zhou,

Li,

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

When Is a Number Not a Number? Quality Control Arrives in the Imaging Laboratory

Marwick¹

2011

JACC: Cardiovascular Imaging

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GNAS A-1121G Variant is Associated with Improved Diastolic Dysfunction in Response to Exercise Training in Heart Failure Patients

et al. 2012

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β1-adrenergic receptors (ADRB1) and Gαs proteins (GNAS) play important roles in the regulation of cardiac function. The present study sought to investigate whether ADRB1 Arg389Gly (rs1801253), GNAS -1211 G/A (rs6123837) and GNAS 2291 C/T (rs6026584) variants are associated with left ventricular function and exercise tolerance in heart failure patients. 61 heart failure patients completed a 6-month exercise-training programme. Left ventricular ejection fraction (LVEF), mitral inflow velocities (deceleration time, and E/A ratio) and exercise tolerance (METs) were assessed at baseline and following exercise training. There were no associations between the studied variants and LVEF or E/A ratio measured at baseline and after exercise training. Deceleration time of early mitral flow was higher at baseline in GNAS -1211G allele carriers compared with -1211A allele homozygotes (P<0.05). Exercise training attenuated deceleration time in -1211G allele carriers (P<0.05) but not in -1211A allele homozygotes. Moreover, ADRB1 389Gly homozygotes had a greater training-induced increase in exercise tolerance than 389Arg homozygotes (P=0.04). This study shows that the functional GNAS -1121 G/A polymorphism is associated with diastolic function at baseline and in response to exercise training in heart failure patients. Furthermore, our data suggest that ADRB1 Arg389Gly polymorphism may influence exercise tolerance.

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Resting Measures and Physiological Responses to Exercise for the Determination of Prognosis in Patients With Chronic Heart Failure

Cited by 4 publications

References 123 publications

Advances in the Application of Artificial Intelligence Technology in the Frailty State of Elderly Heart Failure Patients

Advances in the Application of Artificial Intelligence Technology in the Frailty State of Elderly Heart Failure Patients

When Is a Number Not a Number? Quality Control Arrives in the Imaging Laboratory

GNAS A-1121G Variant is Associated with Improved Diastolic Dysfunction in Response to Exercise Training in Heart Failure Patients

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