ArticleWorld journal of psychiatry2024
Assessing myocardial indices and inflammatory factors to determine anxiety and depression severity in patients with chronic heart failure.
Article in World journal of psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Neurocardiology: Brain-Heart Interactions in the Heart.MedComm · 2026Review
- Influencing Factors and Prediction Model Construction of Anxiety and Depression in Patients With Coronary Heart Disease Undergoing In-Stent Restenosis.Actas espanolas de psiquiatria · 2026Article
- Study on influencing factors of anxiety symptoms and its association with nutritional condition in elderly heart failure patients.Frontiers in nutrition · 2026Article
- Status of anxiety and depression among chronic heart failure patients: Factors influencing poor fluid restriction adherence.World journal of psychiatry · 2025Article
- Development and Validation of a Machine Learning Model for Predicting Long-Term Depression Risk in ACS Patients After PCI: A Retrospective Cohort Study.International journal of general medicine · 2025Article
- Heart abnormality associates with a wide spectrum of psychiatric disorders: Evidence from Mendelian randomization analyses.World journal of psychiatry · 2024Article
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Authors and funding
4 authors.
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Abstract
backgroundPatients with chronic heart failure (CHF) have a progressive disease that is associated with poor quality of life and high mortality. Many patients experience anxiety and depression (A&D) symptoms, which can further accelerate disease progression. We hypothesized that indicators of myocardial function and inflammatory stress may reflect the severity of A&D symptoms in patients with CHF. Changes in these biomarkers could potentially predict whether A&D symptoms will deteriorate further in these individuals.
aimTo measure changes in cardiac and inflammatory markers in patients with CHF to determine A&D severity and predict outcomes.
methodsWe retrospectively analyzed 233 patients with CHF treated at the Jingzhou Hospital, Yangtze University between 2018-2022 and grouped them according to Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS) scores. We compared clinical data in the no-A&D, mild-A&D, moderate-A&D, and severe-A&D groups, the SAS and SDS scores with the New York Heart Association (NYHA) functional classification, and cardiac markers and inflammatory factors between the no/mild-A&D and moderate/severe-A&D groups. Regression analysis was performed on the markers with
resultsIn the inter-group comparison, the following variables had an effect on A&D severity in patients with CHF: NYHA class, left ventricular ejection fraction (LVEF), left ventricular end-diastolic diameter, N-terminal pro-brain natriuretic peptide (NT-proBNP), interleukin-6 (IL-6), and tumor necrosis factor-alpha (
conclusionCardiac and inflammatory biomarkers, such as LVEF, NT-proBNP, and IL-6, are correlated with A&D severity in patients with CHF and have predictive value.
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