Background: As the annual demand and number of total joint arthroplasty cases increase, so do concerns of outcomes of patient with specific comorbidities relative to outcomes and costs of care.
Methods: The study cohort included 2009 primary total knee arthroplasty (TKA) patients and 905 total hip arthroplasty patients. Discharge disposition was classified as discharge to any facility or home. The comorbidities of the patients who were readmitted and those without a 90-day event were also evaluated.
Results: In the TKA population, age, female gender, nonsmoking status, venous thromboembolism (VTE) history, and diabetes were significantly associated with discharge to extended care facility (ECF) on univariate analysis, unlike body mass index. With multivariate analyses, female gender, age, VTE history, and diabetes were associated with ECF placement, but smoking was not. In the total hip arthroplasty population, age, female gender, and nonsmoking status were significantly associated with discharge to ECF on univariate analysis, whereas body mass index, diabetes, and VTE history were not. On multivariate analyses, female gender and age were associated with ECF, but smoking was not. The only significant finding for the readmission data was an increased rate of readmission for TKA patients of older age.
Conclusion: The potential of projecting patient discharge and readmission allows physicians to counsel patients and improve patient expectations.
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http://dx.doi.org/10.1016/j.arth.2016.11.035 | DOI Listing |
Network
December 2024
Department of Electronics and Communication Engineering, Dronacharya Group of Institutions, Greater Noida, UP, India.
Speaker verification in text-dependent scenarios is critical for high-security applications but faces challenges such as voice quality variations, linguistic diversity, and gender-related pitch differences, which affect authentication accuracy. This paper introduces a Gender-Aware Siamese-Triplet Network-Deep Neural Network (ST-DNN) architecture to address these challenges. The Gender-Aware Network utilizes Convolutional 2D layers with ReLU activation for initial feature extraction, followed by multi-fusion dense skip connections and batch normalization to integrate features across different depths, enhancing discrimination between male and female speakers.
View Article and Find Full Text PDFJ Eval Clin Pract
February 2025
Department of Obstetrics and Gynecology, Radboud University Medical Center, Nijmegen, The Netherlands.
Rationale: Chronic pelvic pain syndrome (CPPS) is prevalent and a complex multifactorial condition. The incidence is rising. CPPS patients may benefit from multidisciplinary care in a structured care pathway.
View Article and Find Full Text PDFMed Sci Monit
December 2024
Department of Neurology, HangZhou Third People's Hospital, Hangzhou, Zhejiang, China.
BACKGROUND This study aimed to analyze the risk factors of central nervous system (CNS) infection caused by reactivation of varicella zoster virus (VZV) and provide reference for the prevention and early diagnosis of VZV-associated CNS infection. MATERIAL AND METHODS A prospective study was conducted on 1030 patients with acute herpes zoster (HZ) admitted to our hospital from January 2021 to June 2023. According to clinical manifestations and auxiliary examinations, they were divided into HZ group of 990 patients and VZV-associated CNS infection group of 40 patients.
View Article and Find Full Text PDFMed Care
November 2024
Institute of Clinical Biometrics, Center for Medical Data Science, Medical University of Vienna, Vienna, Austria.
Background: Practice guidelines recommend patient management based on scientific evidence. Quality indicators gauge adherence to such recommendations and assess health care quality. They are usually defined as adverse event rates, which may not fully capture guideline adherence over time.
View Article and Find Full Text PDFPurpose: To examine associations between clinical measures (self-reported and clinician-administered) and subsequent injury rates in the year after concussion return to play (RTP) among adolescent athletes.
Methods: We performed a prospective, longitudinal study of adolescents ages 13-18 years. Each participant was initially assessed within 21 days of concussion and again within 5 days of receiving RTP clearance from their physician.
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