Introduction: Postdischarge disposition after shoulder replacement lacks uniform guidelines. The goal of this study was to identify complication and readmission rates by discharge disposition and determine whether disposition was an independent risk factor for adverse events, using a statewide database.
Methods: Data from the California Office of Statewide Health Planning and Development discharge database were used. Patient information was assessed, and 30- and 90-day complication rates were identified. Univariate and multivariate analyses were used to determine the complication risk.
Results: From 2011 to 2013, 10,660 procedures were identified, with 7,709 patients discharged home, 1,858 discharged home with home health support, and 1,093 discharged to postacute care (PAC) facilities. Patients discharged to PAC facilities or to home with health support tended to be older, female, and using Medicare. After controlling for confounders, at 30 and 90 days, patients discharged to PAC facilities were found to be more likely to experience a complication.
Discussion: Discharge to a PAC facility was an independent risk factor for complications and readmission.
Level Of Evidence: Level III, retrospective cohort design, observational study.
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http://dx.doi.org/10.5435/JAAOS-D-16-00841 | DOI Listing |
JAMA Netw Open
January 2025
Division of Endocrinology, Diabetes and Metabolism, Mayo Clinic, Rochester, Minnesota.
Importance: Understanding the interplay between diabetes risk factors and diabetes development is important to develop individual, practice, and population-level prevention strategies.
Objective: To evaluate the progression from normal and impaired fasting glucose levels to diabetes among adults.
Design, Setting, And Participants: This retrospective community-based cohort study used data from the Rochester Epidemiology Project, in Olmsted County, Minnesota, on 44 992 individuals with at least 2 fasting plasma glucose (FPG) measurements from January 1, 2005, to December 31, 2017.
Ann Surg Oncol
January 2025
Department of Gastroenterology and Hepatology, Isala, Zwolle, The Netherlands.
Background: Similar to T1 colon cancer (CC), risk stratification may guide T2 CC treatment and reduce unnecessary major surgery. In this study, prediction models were developed that could identify T2 CC patients with a lower risk of lymph node metastasis (LNM) for whom (intensive) follow-up after local treatment could be considered.
Methods: A nationwide cohort study was performed involving pT2 CC patients who underwent surgery between 2012 and 2020, using data from the Dutch ColoRectal Audit, which were linked to the Nationwide Pathology Databank.
Qual Life Res
January 2025
Health Services Research Group, Hospital del Mar Research Institute, Barcelona, Spain.
Purpose: To systematically review qualitative studies on outcomes, needs, experiences, preferences, concerns and health-related quality of life (HRQoL) of people surviving cancer in Europe in the last decade.
Methods: Protocol registered ( https://www.crd.
Paediatr Drugs
January 2025
Child and Maternal Health Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia.
Despite significant global reductions in cases of pneumonia during the last 3 decades, pneumonia remains the leading cause of post-neonatal mortality in children aged <5 years. Beyond the immediate disease burden it imposes, pneumonia contributes to long-term morbidity, including lung function deficits and bronchiectasis. Viruses are the most common cause of childhood pneumonia, but bacteria also play a crucial role.
View Article and Find Full Text PDFInt J Implant Dent
January 2025
Center of Oral Implantology, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, China.
Purpose: This systematic review aims to assess the performance, methodological quality and reporting transparency in prediction models for the dental implant's complications and survival rates.
Methods: A literature search was conducted in PubMed, Web of Science, and Embase databases. Peer-reviewed studies that developed prediction models for dental implant's complications and survival rate were included.
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