AI Article Synopsis

  • The study examined 972 young patients (≤50 years) with coronary heart disease (CHD) who underwent coronary artery stenting, focusing on their clinical characteristics and 1-year prognosis.
  • Key risk factors included high rates of smoking (18.9%), hypertension (34.3%), and diabetes (14.5%), with the most common reason for stenting being stable and unstable angina.
  • After one year, 6.6% faced adverse clinical outcomes, with significant predictors including age, smoking, hypertension, and diabetes; highlighting the need for better risk factor management to prevent early CHD in this demographic.

Article Abstract

BACKGROUND The objective of this study was to investigate the clinical characteristics and prognosis of coronary heart disease (CHD) in young patients. MATERIAL AND METHODS We included 972 CHD patients (≤50 years old) with coronary artery stenting who were prospectively enrolled and followed for 1 year. Clinical characteristics, risk factors, and predictors of outcomes were evaluated. RESULTS The prevalence of current smoker, hypertension, diabetes mellitus, dyslipidemia and positive family history of CHD were 18.9%, 34.3%, 14.5%, 4.4%, and 44.2%, respectively. Most of the patients underwent coronary stenting due to stable angina (48.8%) and unstable angina (UA; 48.1%). After 1-year follow-up, 64 patients (6.6%) experienced clinical outcomes and the most common event was UA (n=56). Compared to patients without clinical outcomes, those with outcomes were more likely to be male, have higher systolic blood pressure, more likely to have hypertension and diabetes mellitus, and more likely to be presented as unstable angina. Multivariate regression analysis showed only age (hazard ratio [HR]: 1.12 and 95% confidence interval [CI]: 1.07-1.26), smoking (HR: 1.15 and 95% CI: 1.06-1.23), presence of hypertension (HR: 1.19 and 95% CI: 1.13-1.31), and diabetes mellitus (HR: 1.16 and 95% CI: 1.09-1.28), more vessels with stenosis (HR: 1.27 and 95% CI: 1.20-1.48) and presented with acute coronary syndrome (HR: 1.35 and 95% CI: 1.21-1.55) were independently associated with clinical outcomes. CONCLUSIONS Most of the young (≤50 years of age) CHD patients had poor management of risk factors and better controlling these risk factors would be helpful for the primary and secondary prevention of premature CHD in Guangdong province.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7346752PMC
http://dx.doi.org/10.12659/MSM.922957DOI Listing

Publication Analysis

Top Keywords

clinical characteristics
12
risk factors
12
diabetes mellitus
12
clinical outcomes
12
characteristics prognosis
8
young patients
8
coronary heart
8
heart disease
8
chd patients
8
≤50 years
8

Similar Publications

Background: Machine learning models can reduce the burden on doctors by converting medical records into International Classification of Diseases (ICD) codes in real time, thereby enhancing the efficiency of diagnosis and treatment. However, it faces challenges such as small datasets, diverse writing styles, unstructured records, and the need for semimanual preprocessing. Existing approaches, such as naive Bayes, Word2Vec, and convolutional neural networks, have limitations in handling missing values and understanding the context of medical texts, leading to a high error rate.

View Article and Find Full Text PDF

MYCN-amplified spinal ependymomas: a rare aggressive subtype. Illustrative cases.

J Neurosurg Case Lessons

January 2025

Department of Radiology and Biomedical Imaging, University of California, San Francisco, California.

Background: Spinal ependymomas are typically slow-growing tumors with a favorable prognosis. Recently, a new aggressive subtype has emerged with its own distinct histopathological and molecular features characterized by MYCN amplification. However, this subtype of spinal ependymoma is rare, and studies on its imaging characteristics are limited.

View Article and Find Full Text PDF

In this article, the authors propose a repurposing of the concept of entrustment to help guide the use of artificial intelligence (AI) in health professions education (HPE). Entrustment can help identify and mitigate the risks of incorporating generative AI tools with limited transparency about their accuracy, source material, and disclosure of bias into HPE practice. With AI's growing role in education-related activities, like automated medical school application screening and feedback quality and content appraisal, there is a critical need for a trust-based approach to ensure these technologies are beneficial and safe.

View Article and Find Full Text PDF

Purpose: To evaluate the presence and progression of maculopathy in patients with sickle cell disease (SCD) using Optical Coherence Tomography (OCT) and OCT-Angiography (OCTA), and to identify clinical/laboratory risk factors for progression during follow-up.

Methods: Complete ophthalmic examination, including fundoscopy and macular SD-OCT/OCTA scans, was performed in consecutive SCD-patients (HbSS/HbSβ0/HbSβ+/HbSC genotype) during baseline and follow-up visits. SCR stage was based on fundoscopy instead of the Goldberg classification, since fluorescein angiography was not routinely used.

View Article and Find Full Text PDF

Purpose: Cardiac computed tomography angiography (CCTA) has significantly advanced the visualization of cardiac structures, particularly valves. We assessed the diagnostic performance of CCTA in diagnosing the most common disorders affecting the aortic valves requiring surgery-papillary fibroelastoma, infective endocarditis, and degeneration.

Methods: This retrospective study included patients who underwent aortic valve resection between 2016 and 2023 and had a preceding CCTA.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!