Quantitative flow ratio of the donor coronary artery supplying a chronic total occlusion territory.

Background: Coronary physiology to guide multi-vessel coronary intervention is associated with better outcome. In the presence of a coronary chronic total occlusion (CTO), hemodynamic evaluation of intermediate lesions in the donor coronary artery supplying a CTO territory still has limitations. We aim to evaluate implementing quantitative flow ratio (QFR) in assessing angiographically intermediate lesions of the main donor coronary artery supplying a CTO territory.

The clinical utility of shock index in hospitalised patients requiring activation of the rapid response team.

Background: The systolic shock index (SSI) is used to direct management and predict outcomes, but its utility in patients requiring rapid response team (RRT) activation is unclear.

Objectives: We explored whether SSI can predict the outcomes of ward patients experiencing clinical deterioration and compared its performance with other parameters.

Methods: This retrospective study included adult patients in medical/surgical wards who required RRT activation.

Beyond Traditional Restorations: Management With Endocrown in a Late Adolescent.

Endodontically treated molar rehabilitation is still challenging. Molars lose their mechanical properties after endodontic therapy. As a result of the pulp and surrounding dentin tissues being removed, they actually became brittle.

Prevalence and Incidence of Stress Among UK Dental Students: A Systematic Review and Meta-analysis.

Objective: Dental professionals experience stress daily due to the nature of the excessively demanding working environment in addition to the trust laid upon them by the public. This review aims to evaluate the available evidence on the prevalence and incidence of stress in UK dental students. The paper critically assesses current evidence, shedding light on mental health issues faced by dental healthcare workers.

Kernel random forest with black hole optimization for heart diseases prediction using data fusion.

In recent years, the Internet of Things has played a dominant role in various real-time problems and given solutions via sensor signals. Monitoring the patient health status of Internet of Medical Things (IoMT) facilitates communication between wearable sensor devices and patients through a wireless network. Heart illness is one of the reasons for the increasing death rate in the world.