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Enhancing perianal disease management with integrated physical and psychological approaches.
World J Clin Cases
January 2025
Department of Digital Anti-aging Healthcare (BK21), Inje University, Gimhae 50834, South Korea.
This article provides a comprehensive analysis of the study by Hou , focusing on the complex interplay between psychological and physical factors in the post-operative recovery (POR) of patients with perianal diseases. The study sheds light on how illness perception, anxiety, and depression significantly influence recovery outcomes. Hou developed a predictive model that demonstrated high accuracy in identifying patients at risk of poor recovery.
View Article and Find Full Text PDFInfluence of Practitioner Dashboard Feedback on Anesthetic Greenhouse Gas Emissions: A Prospective Performance Improvement Investigation.
J Med Syst
January 2025
Department of Anesthesiology, Perioperative and Pain Medicine, The Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1010, New York, NY, 10029, USA.
Anesthetic gases contribute to global warming. We described a two-year performance improvement project to examine the association of individualized provider dashboard feedback of anesthetic gas carbon dioxide equivalent (CDE) production and median perioperative fresh gas flows (FGF) during general anesthetics during perioperative management. Using a custom structured query language (SQL) query, hourly CDE for each anesthetic gas and median FGF were determined.
View Article and Find Full Text PDFMachine learning to predict periprosthetic joint infections following primary total hip arthroplasty using a national database.
Arch Orthop Trauma Surg
January 2025
Bioengineering Laboratory, Department of Orthopaedic Surgery, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA.
Introduction: Periprosthetic joint infection (PJI) following total hip arthroplasty (THA) remains a devastating complication for patients and surgeons. Given the implications of these infections and the current paucity of risk calculators utilizing machine learning (ML), this study aimed to develop an ML algorithm that could accurately identify risk factors for developing a PJI following primary THA using a national database.
Materials And Methods: A total of 51,053 patients who underwent primary THA between 2013 and 2020 were identified using the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database.
The Modified Frailty 5-Factor Index Predicts Adverse Outcomes After Ventral Hernia Repair in a National Database.
Plast Reconstr Surg Glob Open
January 2025
From the Hansjörg Wyss Department of Plastic Surgery, NYU Grossman School of Medicine, New York, NY.
Background: Ventral hernia repair (VHR) is a common procedure performed on a comorbid patient population at risk for complications, necessitating effective preoperative risk assessment. Previous research suggests that frailty better predicts adverse outcomes compared with historical risk proxies including age. We examined the association between frailty as measured by the 5-factor modified frailty index and postoperative complications following VHR as reported in the National Surgical Quality Improvement Program database.
View Article and Find Full Text PDFHigher hospital volume reduces early failure rates in single-stage revision TKR for infection: An analysis of the United Kingdom National Joint Registry and National Administrative Databases.
Knee Surg Sports Traumatol Arthrosc
January 2025
Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK.
Purpose: Revision knee replacement (RevKR) for infection is rare but increasing. It is hypothesised that higher hospital volume reduces adverse outcomes. The aim was to estimate the association of surgical unit volume with outcomes following first, single-stage RevKR for infection.
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