Background: Standardizing the Fried criteria (S-FC) using cutoffs specific to the patient population improves adverse outcome prediction. However, there is limited evidence to determine if a S-FC assessment can improve discrimination of cardiovascular disease (CVD) risk in middle-aged and older women.
Design: The objective of this cross-sectional analysis was to compare the ability of the Fried frailty phenotype criteria (FC) to discriminate between individuals at higher risk for CVD according to the Framingham Risk Score and Rasmussen Disease Score in comparison to the S-FC.
Setting: Asper Clinical Research Institute, St. Boniface Hospital Research Centre.
Participants: 985 women 55 years of age or older with no previous history of CVD.
Measurements: Discrimination of individuals with high CVD risk according to the Framingham and Rasmussen Disease scores was assessed using receiver operating characteristic (ROC) curves, integrated discrimination index (IDI) and net reclassification index (NRI).
Results: The S-FC showed superior ability to discriminate CVD risk as assessed by area under the ROC curve (AUROC) based on the Framingham (0.728 vs 0.634, p < 0.001), but not for the Rasmussen (0.594 vs 0.552, p = 0.079) risk score. Net reclassification index identified improved discrimination for both the Framingham (67.9%, p < 0.001) and Rasmussen Disease scores (26.0%, p = 0.003). Integrated discrimination index also identified improved CVD risk discrimination with the Framingham (3.0%, p < 0.001) and Rasmussen Disease scores (1.5%, p < 0.001).
Conclusion: In this study, the Fried frailty phenotype better discriminated cardiovascular disease risk when standardized to the study population.
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http://dx.doi.org/10.1016/j.exger.2019.01.021 | DOI Listing |
Curr Cardiol Rep
January 2025
Onassis Cardiac Surgery Center, Athens, Greece.
Purpose Of Review: Our purpose was to discuss the advantages and disadvantages of various noninvasive imaging modalities in the evaluation of cardiovascular disease (CVD) in patients with autoimmune rheumatic diseases (ARDs). The detailed knowledge of imaging modalities will facilitate the diagnosis and follow up of CVD in ARDs.
Recent Findings: Autoimmune Rheumatic Diseases (ARDs) are characterized by alterations in immunoregulatory system of the body.
Curr Res Food Sci
December 2024
Yangtze Delta Region Institute of Tsinghua University, Zhejiang, 314006, China.
This study aims to investigate the dietary patterns of Chinese individuals aged 35 years and older who are at high risk of cardiovascular disease (CVD) and to explore the correlation between these dietary patterns and the risk of CVD. A total of 28,747 high-risk participants in China PEACE in Zhejiang Province from 2014 to 2019 were included in the analysis Dietary data were obtained using the Food Frequency Questionnaire, and dietary patterns were extracted through factor analysis. Cox regression was used to examine the relationship between the dietary patterns and CVD risk in the high-risk groups.
View Article and Find Full Text PDFRen Fail
December 2025
State Key Laboratory of Traditional Chinese Medicine Syndrome, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.
Background: While there are numerous benefits to tea consumption, its long-term impact on patients with chronic kidney disease (CKD) remains unclear.
Method: Our analysis included 17,575 individuals with CKD from an initial 45,019 participants in the National Health and Nutrition Examination Survey (NHANES) (1999-2018). Individuals with extreme dietary habits, pregnancy, or non-CKD conditions were excluded.
BMC Res Notes
January 2025
UQ Centre for Clinical Research, Faculty of Health Medicine and Behavioural Sciences, The University of Queensland, Brisbane, Australia.
Objectives: This data note presents a comprehensive geodatabase of cardiovascular disease (CVD) hospitalizations in Mashhad, Iran, alongside key environmental factors such as air pollutants, built environment indicators, green spaces, and urban density. Using a spatiotemporal dataset of over 52,000 hospitalized CVD patients collected over five years, the study supports approaches like advanced spatiotemporal modeling, artificial intelligence, and machine learning to predict high-risk CVD areas and guide public health interventions.
Data Description: This dataset includes detailed epidemiologic and geospatial information on CVD hospitalizations in Mashhad, Iran, from January 1, 2016, to December 31, 2020.
Cardiovasc Diabetol
January 2025
Medical Big Data Center, Department of General Medicine, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, No. 26 Daoqian Street, Suzhou, 215001, Jiangsu, China.
Background: Triglyceride-glucose (TyG) related indices, which serve as simple markers for insulin resistance, have been closely linked to metabolic dysfunction-associated steatotic liver disease (MASLD), cardiovascular disease (CVD), and mortality. However, the prognostic utility of TyG-related indices in predicting the risk of CVD and mortality among patients with MASLD remains unclear.
Methods: Data of 97,331 MASLD patients, with a median age of 58.
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