Using gender specific thresholds for abnormalities in cardiac troponin I, the rate of injury among women increased by 42%. This did not translate into improved management of women, who remained about half as likely to undergo revascularization, receive dual antiplatet therapy, or undergo other interventions.
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Critical Care
October 15, 2019
October 14, 2019
A narrative review offering an intensivists' viewpoint on specific cardiovascular sequela of double-lumen anaesthesia for pulmonary resections (and by extension, implantation of donor lungs) and other cardiothoracic and vascular operations.
October 14, 2019
An extremely interesting research question abutting cardiac physiology, and a manuscript that may generate future additional clinical research.
September 5, 2019
The January update of an expert panel from the American College of Chest Physicians on the expanding clinical entity of pulmonary hypertension, especially pertinent to the transplant community.
August 30, 2019
Gershengorn and colleagues evaluated the incidence and safety of overnight extubation following coronary artery bypass grafting (CABG), using retrospective data from The Society of Thoracic Surgeons Adult Cardiac Surgery Database.
August 29, 2019
Filmed at the 2019 STS Annual Meeting in San Diego, California, USA, Jill Ley of California Pacific Medical Center in San Francisco moderates a discussion on the ERAS multidisciplinary team.
August 21, 2019
An interesting discussion in this manuscript of a case-control study of 666 subjects.
August 7, 2019
Three pioneers of Enhanced Recovery After Surgery discuss why its principles can and should apply to every patient admitted for surgical treatment.
August 4, 2019
The Throacic Surgery Residents Association (TSRA) Decision Algorithms in Cardiothoracic Surgery is a 100-chapter compendium with an individual algorithm for clinical decisions spanning the entire scope of cardiothoracic surgery.
August 1, 2019
Using deep learning employing data from over 700,000 patients (6 billion data points), an algorithm for continuous prediction of the risk of acute kidney injury (AKI) was developed. The model correctly predicted over 90% of AKI requiring dialysis with a lead time of up to 48 hours, with 2 false alerts for every true alert.