Peripheral artery disease (PAD) carries a high burden of morbidity when identified in patients with coronary artery disease (CAD). However, identification of patients with concomitant CAD and PAD remains challenging. Using linked administrative databases of 207,026 individuals with CAD between 2002 and 2019 (median follow-up, 4.7 years), a model for PAD was applied to identify baseline PAD and the development of PAD during follow-up. Both baseline PAD and future PAD models demonstrated poor calibration and discrimination (c-statistic 0.618 and 0.583). In the absence of additional variables, the present models are unable to identify patients with concomitant CAD and PAD.
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http://dx.doi.org/10.1016/j.cjco.2023.06.003 | DOI Listing |
J Surg Res
January 2025
School of Medicine, Tongji University, Shanghai, China; Department of Health Statistics, Navy Medical University, Shanghai, China. Electronic address:
Introduction: Body mass index (BMI) has been implicated in various cardiovascular conditions, but its association with peripheral artery disease (PAD) in both real-world and genetic studies have been contentious and debated.
Methods: This study enrolled 6707 individuals from the National Health and Nutrition Examination Survey database to investigate the association between BMI and the risk of PAD. The weighted logistic regression, restricted cubic spline, and subgroup analysis were performed using real-world data.
Medicine (Baltimore)
January 2025
Zhengzhou Central Hospital Affiliated to Zhengzhou University, Henan, China.
Inflammatory responses and lipid metabolism disorders are key components in the development of coronary artery disease and contribute to no-reflow after coronary intervention. This study aimed to investigate the association between the neutrophil to high-density lipoprotein ratio (NHR) and no-reflow phenomenon in ST-segment elevation myocardial infarction (STEMI) patients after primary percutaneous coronary intervention (PPCI). This study enrolled 288 patients with STEMI from September 1st, 2022 to February 29th, 2024, in the Zhengzhou Central Hospital Affiliated to Zhengzhou University.
View Article and Find Full Text PDFMedicine (Baltimore)
January 2025
Cardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Chronic coronary artery disease (CAD) remains a significant global healthcare burden. Current risk assessment methods have notable limitations in early detection and risk stratification. Hence, there is an urgent need for innovative biomarkers that facilitate the premature CAD diagnosis, ultimately leading to reduction in associated morbidity and mortality rates.
View Article and Find Full Text PDFPLoS One
January 2025
Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Purpose: Treatment of peripheral artery disease (PAD) in the region below the knee (BTK) is dissatisfying as failure of treated target lesions (TLF) is frequent and diagnostic imaging is often challenging. In the BTK-region metallic drug-eluting stents (mDES) yielded best results concerning primary patency (PP), but also annihilate signal in magnetic resonance angiography (MR-A). A recently introduced non-metallic drug eluting bioresorbable Tyrocore® vascular scaffold (deBVS), that offers an option for re-treatment of lesions due to its full degradation within 3-4 years after placement, was investigated with respect to its compatibility with MR-A to unimpededly depict previously treated target lesions.
View Article and Find Full Text PDFPLoS One
January 2025
NIE-Indian Council of Medical Research-National Institute of Epidemiology, Chennai, India.
Background: Judicious utilisation of tertiary care facilities through appropriate risk stratification assumes priority, in a raging pandemic, of the nature of delta variant-predominated second wave of COVID-19 pandemic in India. Prioritisation of tertiary care, through a scientifically validated risk score, would maximise recovery without compromising individual safety, but importantly without straining the health system.
Methods: De-identified data of COVID-19 confirmed patients admitted to a tertiary care hospital in South India, between April 1, 2021 and July 31, 2021, corresponding to the peak of COVID-19 second wave, were analysed after segregating into 'survivors' or 'non-survivors' to evaluate the risk factors for COVID-19 mortality at admission and formulate a risk score with easily obtainable but clinically relevant parameters for accurate patient triaging.
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