Displaying publications 21 - 23 of 23 in total

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  1. Khani Jeihooni A, Jormand H, Saadat N, Hatami M, Abdul Manaf R, Afzali Harsini P
    BMC Cardiovasc Disord, 2021 Dec 07;21(1):589.
    PMID: 34876014 DOI: 10.1186/s12872-021-02399-3
    BACKGROUND: Nutritional factors have been identified as preventable risk factors for cardiovascular disease; this study aimed to investigate the application of the Theory of Planned Behavior (TPB) in nutritional behaviors related to cardiovascular diseases among the women in Fasa city, Fars province, Iran.

    METHODS: The study was conducted in two stages. First, the factors affecting nutritional behaviors associated with cardiovascular disease on 350 women who were referred to Fasa urban health centers were determined based on the TPB. In the second stage, based on the results of a cross-sectional study, quasi-expeimental study was performed on 200 women covered by Fasa health centers. The questionnaire used for the study was a questionnaire based on TPB. The questionnaire was completed by the experimental and control groups before and three months after the intervention. Data were analyzed by SPSS software using logistic regression, paired t-test, independent sample t-test, and chi-square test. The level of significance is considered 0.05.

    RESULT: The constructs of attitude, subjective norms, and perceived behavioral control (PBC) were predictors of nutritional behaviors associated with cardiovascular disease in women. The constructs predicted 41.6% of the behavior. The results showed that mean scores of attitude, subjective norms, PBC, intention, nutritional performance related to the cardiovascular disease before intervention were, respectively, 24.32, 14.20, 18.10, 13.37 and 16.28, and after the intervention, were, respectively, 42.32, 25.40, 33.72, 30.13 and 41.38. All the constructs except the attitude in the intervention group were significantly higher (p 

  2. Ngew KY, Tay HZ, Yusof AKM
    BMC Cardiovasc Disord, 2023 Nov 08;23(1):545.
    PMID: 37940867 DOI: 10.1186/s12872-023-03536-w
    PURPOSE: Percutaneous coronary intervention (PCI) is a common treatment modality for coronary artery disease. Accurate prediction of patients at risk for complications and hospital readmission after PCI could improve the overall clinical management. We aimed to develop and validate predictive models to predict any cardiac event within a year post PCI procedure.

    METHODS: This is a retrospective cohort study utilizing data from the National Cardiovascular Disease (NCVD)-PCI registry. The data collected (N = 28,007) were split into training set (n = 24,409) and testing set (n = 3598). Four predictive models (logistic regression [LR], random forest method, support vector machine [SVM], and artificial neural network) were developed and validated. The outcome on risk prediction were compared.

    RESULTS: The demographic and clinical features of patients in the training and testing cohorts were similar. Patients had mean age ± standard deviation of 58.15 ± 10.13 years at admission with a male majority (82.66%). In over half of the procedures (50.61%), patients had chronic stable angina. Within 1 year of follow up mortality, target vessel revascularization (TVR), and composite event of mortality and TVR were 3.92%, 9.48%, and 12.98% respectively. LR was the best model in predicting mortality event within 1-year post-PCI (AUC: 0.820). SVM had the highest discrimination power for both TVR event (AUC: 0.720) and composite event of mortality and TVR (AUC: 0.720).

    CONCLUSIONS: This study successfully identified optimal prediction models with the good discriminatory ability for mortality outcome and good discrimination ability for TVR and composite event of mortality and TVR with a simple machine learning framework.

  3. Sharma N, Khatib MN, Roopashree R, Kaur M, Srivastava M, Barwal A, et al.
    BMC Cardiovasc Disord, 2025 Jan 06;25(1):5.
    PMID: 39757193 DOI: 10.1186/s12872-024-04460-3
    BACKGROUND: Atrial fibrillation (AF) is the most prevalent form of sustained cardiac arrhythmia, with vascular endothelial growth factor (VEGF) increasingly recognized for its potential role in the pathogenesis of AF through mechanisms involving atrial remodeling, inflammation, and fibrosis. This systematic review aims to synthesize available evidence on the association between VEGF and AF, exploring the implications of VEGF as a biomarker and therapeutic target.

    METHODS: We conducted a comprehensive search across PubMed, Embase, and Web of Science until November 10 2024, selecting studies based on pre-defined criteria that involve adults with AF and measurements of VEGF levels. The selected studies included observational and experimental designs, excluding non-English and methodologically insufficient publications. Narrative synthesis was used for summarising the results.

    RESULTS: Eight studies met the inclusion criteria. The studies show a general trend of elevated VEGF levels in AF patients compared to controls, with significant heterogeneity in findings across studies. VEGF subtypes such as VEGF-A and VEGF-D demonstrated stronger associations with AF risk compared to VEGF-C. These variations point to the complex role of VEGF in AF, influencing factors like angiogenesis, endothelial function, and inflammatory responses.

    CONCLUSION: VEGF is potentially a significant contributor to AF pathophysiology, with its levels reflecting disease activity. The variability observed across studies suggests a need for standardized measurement approaches and further investigation into VEGF subtypes. Future research should focus on longitudinal studies to better understand the causal relationships and the potential of VEGF as a therapeutic target and biomarker in AF management.

    CLINICAL TRIAL NUMBER: Not applicable.

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