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  • Open Access

    ARTICLE

    Predicting Congenital Heart Disease Using Maternal Risk Factors: A Machine Learning Study from an Indian Tertiary Cardiac Care Centre

    Shruthi S*, D. Hanumanth Rao Naidu

    Structural and Congenital Heart Disease, Vol.21, No.2, 2026, DOI:10.32604/schd.2026.079590 - 11 June 2026

    Abstract Background: Congenital Heart Disease (CHD) is an abnormality of the heart arising before birth. CHD diagnosis poses a critical challenge, particularly in resource-constrained settings where access to doctors and skilled radiologists is limited. The maternal risk factors contributing to CHD include modifiable and non-modifiable causes. Very few studies mention about these maternal risk factors for the Indian population to build predictive machine learning models for disease forecasting. The aim is to explore the feasibility of predicting CHD occurrence using maternal risk factor data and machine learning models in an Indian context. Methods: This research utilizes Indian-origin… More >

  • Open Access

    REVIEW

    Cancer-Associated Arterial Thrombosis: Mechanisms and Risk Factors

    Kassiani Lalechou, Despoina Pantazi*

    Oncology Research, Vol.34, No.5, 2026, DOI:10.32604/or.2026.074452 - 22 April 2026

    Abstract Cancer-associated thrombosis (CAT) is a leading cause of morbidity and mortality among cancer patients. While venous thromboembolic events have been extensively studied due to their higher incidence, arterial thrombosis in cancer patients—referred to as cancer-associated arterial thromboembolism (CA-ATE)—is less well understood but may pose a greater danger. The pathophysiology of CA-ATE involves complex interactions between the tumor microenvironment, cancer cells, patient-related factors, and cancer therapies. Some chemotherapeutic agents, particularly platinum-based compounds (cisplatin, oxaliplatin), gemcitabine, taxanes, and targeted therapies such as tyrosine kinase inhibitors (TKIs), have been associated with an increased risk of arterial thrombosis. In… More > Graphic Abstract

    Cancer-Associated Arterial Thrombosis: Mechanisms and Risk Factors

  • Open Access

    ARTICLE

    Analysis of risk factors for MRI-invisible prostate cancer—the significance of AGGF1 immunohistochemical detection and PSAD

    Jingcheng Lyu1,2,#, Ruiyu Yue1,2,#, Ye Tian1,2,*, Boyu Yang1,2,*

    Canadian Journal of Urology, Vol.33, No.2, pp. 361-375, 2026, DOI:10.32604/cju.2026.074814 - 20 April 2026

    Abstract Objectives: Patients with a multi-parameter magnetic resonance imaging (mpMRI) prostate imaging report and data system (PI-RADS) score ≤ 3, but with clinically significant prostate cancer (CSPCa) detected by biopsy, are termed MRI-Invisible prostate cancer (MRI(-)PCa). This study aims to explore risk factors for MRI(-)PCa and identify immunohistochemical indicators with predictive significance. Methods: A retrospective analysis was conducted on 376 patients with PI-RADS score ≤ 3 who underwent 24-needle systematic prostate biopsy at Beijing Friendship Hospital, Capital Medical University (January 2015 to October 2025). Clinical data, imaging data, and Angiogenic factor with G and FHA domain… More >

  • Open Access

    REVIEW

    Understanding Endoplasmic Reticulum Stress as a Central Driver of Atherosclerosis

    Alessio L. Ravani1, Michael I. Bukrinsky2, Anastasia V. Poznyak3,*

    BIOCELL, Vol.50, No.3, 2026, DOI:10.32604/biocell.2025.074266 - 23 March 2026

    Abstract Atherosclerosis (AS) remains a major contributor to cardiovascular disease (CVD) mortality worldwide. Its development involves dysregulated lipid handling, persistent vascular inflammation, and endothelial cell (EC) dysfunction, influenced by genetic, environmental, and lifestyle factors. Increasing evidence highlights a pivotal role of endoplasmic reticulum (ER) stress as a molecular link between lipid dysregulation and inflammatory signaling in AS pathogenesis. ER stress is triggered by modified LDL, oxidized lipids, hyperhomocysteinemia, oxidative stress (OS), and disrupted calcium (Ca2+) homeostasis, leading to activation of the unfolded protein response (UPR). Core UPR mediators—inositol-requiring enzyme 1 (IRE1), protein kinase RNA-like ER kinase (PERK),… More >

  • Open Access

    ARTICLE

    Uretero-enteric strictures after cystectomy: revealing the modifiable risk factors

    Abdelkader Akkad, Franck Bruyere, Ali Bourgi*

    Canadian Journal of Urology, Vol.33, No.1, pp. 155-163, 2026, DOI:10.32604/cju.2025.069546 - 28 February 2026

    Abstract Objectives: Uretero-enteric strictures are feared complications following cystectomy. Despite surgical advancements, particularly the rise of robot-assisted approaches, the risk factors associated with these strictures remain poorly defined. This study aimed to identify the risk factors associated with uretero-enteric anastomotic strictures after cystectomy, according to the surgical approach and type of urinary diversion (extracorporeal vs. intracorporeal). Methods: We conducted a single-center retrospective study including 340 patients who underwent cystectomy between 2016 and 2024 at Tours University Hospital. Clinical, biological, perioperative, and postoperative data were analyzed. The occurrence of a uretero-ileal anastomotic stricture was defined radiologically by… More >

  • Open Access

    ARTICLE

    Prolonged survival and risk factors for reintervention after inflatable penile prosthesis implantation

    Skander Zouari1,*, Flora Barthe1, Arnoult Morrone1, Lionel Mendel2, Imad Bentellis2, Louis Vignot1, Romain Haider1, Younes Ahallal1, Daniel Chevallier1, Matthieu Durand1,3

    Canadian Journal of Urology, Vol.33, No.1, pp. 173-184, 2026, DOI:10.32604/cju.2025.064281 - 28 February 2026

    Abstract Background: Inflatable Penile Prosthesis (IPP) is the treatment for erectile dysfunction (ED) refractory to pharmacological therapies. Long-term data on factors associated with prosthesis survival remain unclear. This study aimed to analyze the long-term survival of penile prostheses and identify risk factors associated with survival without reintervention. Methods: This is a retrospective, single-center study of patients who underwent IPP implantation between January 2014 and December 2022. Preoperative data related to the patient and the etiology of ED, as well as perioperative data, were collected. The primary outcome was survival without reintervention, defined as prosthesis revision or… More >

  • Open Access

    REVIEW

    External risk factors for smartphone addiction in adolescents: A systematic literature review

    Wanqing Lin1,2,*, Mohd Azrin Mohd Nasir1, Suzila Binti Ismail1

    Journal of Psychology in Africa, Vol.36, No.1, pp. 143-152, 2026, DOI:10.32604/jpa.2026.073231 - 26 February 2026

    Abstract This systematic review synthesizes empirical research on external risk factors for adolescent smartphone addiction. Scopus and Web of Science were searched for English peer-reviewed empirical articles from 2008 onward; 28 met inclusion criteria (excluding non-adolescents, generic internet addiction, non-empirical work, or non-English). Thematic synthesis organized findings into three external risk domains—family, school, and peers—considering cultural/contextual mechanisms. Family dynamics (parental phubbing, harsh parenting, dysfunction), school stressors, and adverse peer relationships were identified as accumulating, direct and indirect contributors to smartphone addiction. These operate within a techno-ecological framework, where digital technologies amplify vulnerabilities and create new pathways More >

  • Open Access

    REVIEW

    Understanding Adolescent Social Media Use: A Narrative Review of Motivations, Risk Factors, and Mental Health Implications

    Kyung-Hyun Suh1,*, Sung-Jin Chung1, Goo-Churl Jeong1, Kunho Lee1, Ji-Hyun Ryu2

    International Journal of Mental Health Promotion, Vol.27, No.12, pp. 1829-1845, 2025, DOI:10.32604/ijmhp.2025.071879 - 31 December 2025

    Abstract Background: Adolescents increasingly engage with social media for connection, self-expression, and identity exploration. This growing digital engagement has raised concerns about its potential risks and mental health implications. Methods: This narrative review examines literature on adolescent social media use by exploring underlying motivations, risk and protective factors across personal, environmental, and digital domains, with a focus on mental health outcomes. Results: Individual vulnerabilities—such as low self-esteem, impulsivity, and poor sleep—interact with contextual factors like peer pressure and family conflict to elevate risks. Digital environments shaped by algorithmic feeds, feedback mechanisms, and curated content promote social comparison and More >

  • Open Access

    ARTICLE

    Artificial Neural Network-Based Risk Assessment for Cardiac Implantable Electronic Device Complications

    Chih-Yin Chien1,2, Tsae-Jyy Wang1, Pei-Hung Liao1, Ying-Hsiang Lee3,4,5,*, Wei-Sho Ho6,7,*

    Congenital Heart Disease, Vol.20, No.5, pp. 601-612, 2025, DOI:10.32604/chd.2025.072431 - 30 November 2025

    Abstract Background: Cardiac implantable electronic devices (CIEDs) are essential for preventing sudden cardiac death in patients with cardiovascular diseases, but implantation procedures carry risks of complications such as infection, hematoma, and bleeding, with incidence rates of 3–4%. Previous studies have examined individual risk factors separately, but integrated predictive models are lacking. We compared the predictive performance and interpretability of artificial neural network (ANN) and logistic regression models to evaluate their respective strengths in clinical risk assessment. Methods: This retrospective study analyzed data from 180 patients who underwent cardiac implantable electronic device (CIED) implantation in Taiwan between 2017… More >

  • Open Access

    ARTICLE

    Identification of Cardiac Risk Factors from ECG Signals Using Residual Neural Networks

    Divya Arivalagan, Vignesh Ochathevan*, Rubankumar Dhanasekaran

    Congenital Heart Disease, Vol.20, No.4, pp. 477-501, 2025, DOI:10.32604/chd.2025.070372 - 18 September 2025

    Abstract Background: The accurate identification of cardiac abnormalities is essential for proper diagnosis and effective treatment of cardiovascular diseases. Method: This work introduces an advanced methodology for detecting cardiac abnormalities and estimating electrocardiographic age (ECG Age) using sophisticated signal processing and deep learning techniques. This study looks at six main heart conditions found in 12-lead electrocardiogram (ECG) data. It addresses important issues like class imbalances, missing lead scenarios, and model generalizations. A modified residual neural network (ResNet) architecture was developed to enhance the detection of cardiac abnormalities. Results: The proposed ResNet demonst rated superior performance when compared with… More > Graphic Abstract

    Identification of Cardiac Risk Factors from ECG Signals Using Residual Neural Networks

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