Background: Implementing training programs to educate patients on the prodromal symptoms of acute coronary syndrome (ACS) may assist patients in accurately recognizing these symptoms, and ultimately decrease their time delay in seeking emergency medical services (EMS). However, the effectiveness of this approach remains uncertain, particularly among the Chinese population.
Methods: A cross-sectional study was conducted within 22 communities in Beijing, China between 2015 and 2018, with a total of 1099 participants recruited. The study utilized a standardized questionnaire to evaluate the presence of intentional decision delay in turning to EMS under a hypothetical chest pain, the participants' knowledge of ACS prodromal symptoms, and whether they had ever received any training programs aimed at increasing their symptom knowledge. Mediation analysis was performed with regression models and bootstrapping methods, and gender difference was further analyzed through moderated mediation analysis.
Results: A total of 1099 participants (58.2% female, median [IQR] age 34 [20]) were included in the study. The results of the mediation analysis indicated that training programs were associated with a decrease risk in decision delay, with increased knowledge playing a mediating role (mediation effect/total effect = 36.59%, P < 0.0001). Gender modified this mediation effect, with it being observed only in the male group. Specifically, training programs were not found to significantly decrease decision delay among females (P > 0.05), even though they did improve women's knowledge of ACS prodromal symptoms (β = 0.57, P = 0.012).
Conclusion: The results suggested a relationship between prior training programs and reduced decision delay, with increased knowledge of prodromal symptoms of ACS serving as a mediator. However, the effect was only observed in male participants and not in female participants. This highlights the notion that mere transfer of knowledge regarding ACS prodromal symptoms may not be sufficient to mitigate decision delay in the female population. Further research is needed to corroborate these results and to gain deeper insights into the gender-specific barriers encountered in this study.
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http://dx.doi.org/10.1186/s12873-023-00916-5 | DOI Listing |
Sci Rep
December 2024
Kahn Sagol Maccabi Research & Innovation Center, Maccabi Healthcare Services, Tel Aviv, Israel.
Identifying which patients should undergo serologic screening for celiac disease (CD) may help diagnose patients who otherwise often experience diagnostic delays or remain undiagnosed. Using anonymized outpatient data from the electronic medical records of Maccabi Healthcare Services, we developed and evaluated five machine learning models to classify patients as at-risk for CD autoimmunity prior to first documented diagnosis or positive serum tissue transglutaminase (tTG-IgA). A train set of highly seropositive (tTG-IgA > 10X ULN) cases (n = 677) with likely CD and controls (n = 176,293) with no evidence of CD autoimmunity was used for model development.
View Article and Find Full Text PDFCell Death Discov
December 2024
Pole of Pharmacology and Therapeutics, Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain (UCLouvain), Brussels, Belgium.
Hypoxic tumors are radioresistant stemming from the fact that oxygen promotes reactive oxygen species (ROS) propagation after water radiolysis and stabilizes irradiation-induced DNA damage. Therefore, an attractive strategy to radiosensitize solid tumors is to increase tumor oxygenation at the time of irradiation, ideally above a partial pressure of 10 mm-Hg at which full radiosensitization can be reached. Historically, the many attempts to increase vascular O delivery have had limited efficacy, but mathematical models predicted that inhibiting cancer cell respiration would be more effective.
View Article and Find Full Text PDFNeural Netw
December 2024
Communications and Signal Processing Group, Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, United Kingdom.
First spike timings are crucial for decision-making in spiking neural networks (SNNs). A recently introduced first-spike (FS) coding method demonstrates comparable accuracy to firing-rate (FR) coding in processing complex temporal information through supervised learning. However, its performance still falls behind advanced approaches.
View Article and Find Full Text PDFBiomimetics (Basel)
December 2024
IDLab-AIRO, Faculty of Engineering and Architecture, Ghent University, 9052 Ghent, Belgium.
The performance of echo state networks (ESNs) in temporal pattern learning tasks depends both on their memory capacity (MC) and their non-linear processing. It has been shown that linear memory capacity is maximized when ESN neurons have linear activation, and that a trade-off between non-linearity and linear memory capacity is required for temporal pattern learning tasks. The more recent distance-based delay networks (DDNs) have shown improved memory capacity over ESNs in several benchmark temporal pattern learning tasks.
View Article and Find Full Text PDFFront Oncol
December 2024
Centre Intégré Universitaire de Santé et de Services Sociaux de l'Estrie - Centre Hospitalier Universitaire de Sherbrooke (CIUSSS de l'Estrie-CHUS), Sherbrooke, QC, Canada.
Introduction: Consolidation durvalumab post chemo-radiotherapy (CRT) has been demonstrated to improve survival in locally advanced non-small-cell lung cancer (NSCLC). Real-world data to assess its use and impact on patients, particularly in Quebec, remain limited.
Methods: We, therefore, aimed to assess real-world durvalumab use in inoperable stage III NSCLC in Quebec, to describe progression-free survival (PFS) and overall survival (OS) outcomes as reported in the PACIFIC trial, and to evaluate safety and toxicity.
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