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Background: Risk stratification in chronic coronary syndrome (CCS) patients is challenging. TIMI Risk Score for Secondary Prevention (TRS2P) is a simple nine-point tool developed to predict cardiovascular death, myocardial infarction (MI), and ischemic stroke among post-MI patients. No studies have been conducted on it in the Brazilian population.
Objective: Validate the TRS2P score among CCS patients at a tertiary center in Brazil.
Methods: This is a registry-based study of patients with CCS, defined as having a previous revascularization procedure, previous MI, or ≥50% stenosis in at least one epicardial coronary artery. The primary outcome was the three-year incidence of MACE (death, MI or stroke). The predicted risk was as reported in the original derivation study. Calibration was assessed through a calibration plot and the Hosmer-Lemeshow test. Discrimination was evaluated through the concordance (C)-statistic. A significance level of 0.05 was adopted.
Results: The study sample consisted of 515 patients. There were 173 (34%) women, 75 (15%) aged over 75 years, 298 (58%) had diabetes, and 156 (30%) had chronic kidney disease. During follow-up, 126 MACE were documented. The estimated three-year incidence was 24% (95% confidence interval [CI] 21%-28%), whereas the predicted incidence was 15%. Although higher TRS2P scores were associated with higher MACE incidence, the TRS2P risk score model underestimated MACE incidence at every strata (p < 0.01). The C-statistic was 0.64 (95% CI 0.58-0.69).
Conclusion: The TRS2P score identifies patients with a higher risk of cardiovascular events but it underestimated MACE and presented poor discrimination in a Brazilian CCS cohort.
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http://dx.doi.org/10.36660/abc.20240821 | DOI Listing |
Public Health
September 2025
Department of Public Health, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
Objectives: Participation rates in fecal immunochemical test (FIT)-based colorectal cancer (CRC) screening differ across socio-demographic subgroups. The largest health gains could be achieved in subgroups with low participation rates and high risk of CRC. We investigated the CRC risk within different socio-demographic subgroups with low participation in the Dutch CRC screening program.
View Article and Find Full Text PDFAm J Emerg Med
September 2025
University of Toronto, Rotman School of Management, Canada.
Study Objective: Accurately predicting which Emergency Department (ED) patients are at high risk of leaving without being seen (LWBS) could enable targeted interventions aimed at reducing LWBS rates. Machine Learning (ML) models that dynamically update these risk predictions as patients experience more time waiting were developed and validated, in order to improve the prediction accuracy and correctly identify more patients who LWBS.
Methods: The study was deemed quality improvement by the institutional review board, and collected all patient visits to the ED of a large academic medical campus over 24 months.
Turk J Pediatr
September 2025
Division of Allergy and Asthma, Department of Pediatrics, Faculty of Medicine, Hacettepe University, Ankara, Türkiye.
Animal allergens, particularly those from cats, dogs, and horses, are significant risk factors for the development of allergic diseases in childhood. Managing animal allergies requires allergen avoidance and, when this is not feasible, specific immunotherapy. Patient history remains the cornerstone of diagnosis, providing the foundation for diagnostic algorithms.
View Article and Find Full Text PDFTurk J Pediatr
September 2025
Department of Cardiorespiratory Physiotherapy and Rehabilitation, Faculty of Physical Therapy and Rehabilitation, Hacettepe University, Ankara, Türkiye.
Background: Vascular changes are observed in children with cystic fibrosis (cwCF), and gender-specific differences may impact arterial stiffness. We aimed to compare arterial stiffness and clinical parameters based on gender in cwCF and to determine the factors affecting arterial stiffness in cwCF.
Methods: Fifty-eight cwCF were included.
JMIR Res Protoc
September 2025
University of Nevada, Las Vegas, Las Vegas, NV, United States.
Background: In-hospital cardiac arrest (IHCA) remains a public health conundrum with high morbidity and mortality rates. While early identification of high-risk patients could enable preventive interventions and improve survival, evidence on the effectiveness of current prediction methods remains inconclusive. Limited research exists on patients' prearrest pathophysiological status and predictive and prognostic factors of IHCA, highlighting the need for a comprehensive synthesis of predictive methodologies.
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