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Background: Critical care beds are a limited resource, yet research indicates that recommendations for postoperative critical care admission based on patient-level risk stratification are not followed. It is unclear how prioritisation decisions are made in real-world settings and the effect of this prioritisation on outcomes.

Methods: This was a prespecified analysis of an observational cohort study of adult patients undergoing inpatient surgery, conducted in 274 hospitals across the UK and Australasia during 2017.

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Self-Expanding or Balloon-Expandable TAVR in Patients with a Small Aortic Annulus.

N Engl J Med

June 2024

From Perelman School of Medicine at the University of Pennsylvania (H.C.H.) and Lankenau Heart Institute (B.R.), Philadelphia, Allegheny General Hospital, Allegheny Health Network, Pittsburgh (S. Bailey), and the University of Pittsburgh Medical Center, Harrisburg (H.G.) - all in Pennsylvania; Icahn School of Medicine at Mount Sinai, New York (R.M.); Leeds Teaching Hospitals, Leeds, United Kingdom (D.J.B.); St. Johannes Hospital Dortmund, Dortmund (H.M.), Heart Center Leipzig at University of Leipzig, Leipzig (M.A.-W.), the Department of Cardiovascular Surgery, Institute Insure, German Heart Center Munich, School of Medicine and Health, Technical University of Munich, Munich (H.R.), and Herz- und Diabeteszentrum Nordrhein-Westfalen, Ruhr-Universität Bochum, Bochum (S. Bleiziffer) - all in Germany; Montreal Heart Institute, Montreal (W.B.A.), and the Centre for Cardiovascular Innovation, University of British Columbia, Vancouver (D.A.W.) - both in Canada; Sentara Heart Hospital, Norfolk (P.D.M.), and Inova Schar Heart and Vascular, Falls Church (W.B.B.) - both in Virginia; the University of Pisa, Azienda Ospedaliero Universitaria Pisana, Pisa, Italy (A.S.P.); Tufts Medical Center, Boston (C.D.R.); Corewell Health, Grand Rapids (W.M.), and the University of Michigan Health Systems-University Hospital, Ann Arbor (G.M.D.) - both in Michigan; Hospital Vall D'Hebron, CIBER CV (Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares), Barcelona (B.G.B.); Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland (G.F.A.); Morristown Medical Center, Atlantic Health System, Morristown, NJ (L.D.G.); the Echocardiography Core Laboratory (R.P.), Mayo Clinic (M.G.), Rochester, and Medtronic, Minneapolis (M.T.F., A.D.A.) - both in Minnesota; MedStar Washington Hospital Center, Washington, DC (T.R.); Morton Plant Hospital, Clearwater, FL (J.D.R.); Baylor Scott and White Heart Hospital, Plano, TX (M.S.); Intermountain Medical Center, Murray, UT (B.W.); Emory University, Atlanta (K.J.G.); and Clinique Pasteur, Toulouse, France (D.T.).

Background: Patients with severe aortic stenosis and a small aortic annulus are at risk for impaired valvular hemodynamic performance and associated adverse cardiovascular clinical outcomes after transcatheter aortic-valve replacement (TAVR).

Methods: We randomly assigned patients with symptomatic severe aortic stenosis and an aortic-valve annulus area of 430 mm or less in a 1:1 ratio to undergo TAVR with either a self-expanding supraannular valve or a balloon-expandable valve. The coprimary end points, each assessed through 12 months, were a composite of death, disabling stroke, or rehospitalization for heart failure (tested for noninferiority) and a composite end point measuring bioprosthetic-valve dysfunction (tested for superiority).

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The promise of AI Large Language Models for Epilepsy care.

Epilepsy Behav

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Department of Neurology, Royal Victoria Infirmary, Queen Victoria Rd, Newcastle-Upon-Tyne NE1 4LP, United Kingdom; Translational and Clinical Research Institute, Henry Wellcome Building, Framlington Place, Newcastle-Upon-Tyne NE2 4HH, United Kingdom. Electronic address:

Artificial intelligence (AI) has been supporting our digital life for decades, but public interest in this has exploded with the recognition of large language models, such as GPT-4. We examine and evaluate the potential uses for generative AI technologies in epilepsy and neurological services. Generative AI could not only improve patient care and safety by refining communication and removing certain barriers to healthcare but may also extend to streamlining a doctor's practice through strategies such as automating paperwork.

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Background: Routine hip magnetic resonance imaging (MRI) before arthroscopy for patients with femoroacetabular impingement syndrome (FAIS) offers questionable clinical benefit, delays surgery, and wastes resources.

Purpose: To assess the clinical utility of preoperative hip MRI for patients aged ≤40 years who were undergoing primary hip arthroscopy and who had a history, physical examination findings, and radiographs concordant with FAIS.

Study Design: Cohort study; Level of evidence, 3.

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