AI Article Synopsis
Article Abstract
Study Design: Prospective cohort design using data derived from usual care.
Background: It is important that patients are able to function independently as soon as possible after total hip replacement. However, the speed of regaining activities differs significantly.
Objectives: To develop a risk stratification model (RSM) to predict delayed inpatient recovery of physical activities in people who underwent total hip replacement surgery.
Methods: This study was performed in 2 routine orthopaedic settings: Diakonessenhuis Hospital (setting A) and Nij Smellinghe Hospital (setting B). Preoperative screening was performed for all consecutive patients. In-hospital recovery of activities was assessed with the Modified Iowa Level of Assistance Scale. Delayed inpatient recovery of activities was defined as greater than 5 days. The RSM, developed using logistic regression analysis and bootstrapping, was based on data from setting A (n = 154). External validation was performed on the data set from setting B (n = 271).
Results: Twenty-one percent of the patients in setting A had a delayed recovery of activities during their hospital stay. Multivariable logistic regression modeling yielded a preliminary RSM that included the following factors: male sex (odds ratio [OR] = 0.8; 95% confidence interval [CI]: 0.2, 2.6), 70 or more years of age (OR = 1.2; 95% CI: 0.4, 3.4), body mass index of 25 kg/m(2) or greater (OR = 2.2; 95% CI: 0.7, 7.4), an American Society of Anesthesiologists score of 3 (OR = 1.2; 95% CI: 0.3, 4.4), a Charnley score of B or C (OR = 6.1; 95% CI: 2.2, 17.4), and a timed up-and-go score of 12.5 seconds or greater (OR = 3.1; 95% CI: 1.1, 9.0). The area under the receiver operating characteristic (ROC) curve was 0.82 (95% CI: 0.74, 0.90) and the Hosmer-Lemeshow test score was 3.57 (P>.05). External validation yielded an area under the ROC curve of 0.71 (95% CI: 0.61, 0.81).
Conclusion: We demonstrated that the risk for delayed recovery of activities during the hospital stay can be predicted by using preoperative data. Level of Evidence Prognosis, level 1b.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.2519/jospt.2016.6124 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Prevalence of fungal colonization among patients with psoriasis in difficult-to-treat areas: impact of apremilast on mycotic burden and clinical outcomes.
Front Immunol
December 2024
Department of Experimental Medicine, University of Rome "Tor Vergata", Rome, Italy.
Introduction: Fungi, including , may be a trigger or exacerbate psoriasis, especially in difficult to treat (DTT) areas, through the activation of IL-17/23 axis.
Methods: In this study, seventy patients with DDT psoriasis were enrolled to evaluate species and/or other opportunistic fungi colonization rate at baseline (T0) and the impact of apremilast on fungal load, clinical outcome, serum cytokine levels and biochemical serum profile of patients after 16, 24 and 52 weeks of treatment.
Results: In our population, 33 (47%) patients were colonized by spp.
Synergy in Neuroimaging: PET-CT and MRI Fusion for Enhanced Characterization of Brain Pathology.
Cureus
November 2024
Diagnostic Radiology, University of Arkansas for Medical Sciences, Little Rock, USA.
Background: Accurate diagnosis and understanding of brain disorders are crucial for the best treatment. While multimodal neuroimaging is essential, it has its limitations. Conventional computed tomography (CT) and magnetic resonance imaging (MRI) provide detailed anatomical information but lack molecular insights, while 18F-fluorodeoxyglucose-positron emission tomography (FDG PET) offers metabolic data but often has limited spatial resolution.
View Article and Find Full Text PDFBeyond the first try: How many quit attempts are necessary to achieve substance use cessation?
Drug Alcohol Depend
December 2024
Fralin Biomedical Research Institute at VTC, United States; Department of Psychology, College of Science, Virginia Tech, United States.
Unlabelled: Substance use disorder (SUD) is a chronically relapsing disorder; thus, individuals with SUD may require several attempts before achieving abstinence. The goal of the present study was to investigate what variables are associated with the number of quit attempts before successful abstinence was achieved. Data were collected from 421 International Quit & Recovery Registry participants.
View Article and Find Full Text PDFLaser-ablated graphene electrodes modified with redox melanin-like film for redox capacitive sensing via the scavenging of nitrite ions.
Food Chem
December 2024
Sensors and Biosensors Group, Analytical Chemistry and Electrochemistry Lab (LR99ES15), University of Tunis El Manar, Tunis El Manar, 2092 Tunis, Tunisia. Electronic address:
Improper use and harmful effects of nitrite ions pose a significant risk to human health. To address this concern, the use of carbon-based materials for electrochemical sensing is regarded as one of the most promising detection tools for ensuring the quality of drinking water and food products. In this context, we developed laser-ablated graphene electrodes (LAGEs) by direct laser scribing on a polyimide substrate, which were subsequently modified by electrochemical deposition of a redox-active melanin-like film (MeLF/LAGEs).
View Article and Find Full Text PDFMass Balance Recovery, Absorption, Metabolism, and Excretion of Elinzanetant in Healthy Human Volunteers and in vitro Biotransformation.
Eur J Drug Metab Pharmacokinet
December 2024
Preclinical Development-Drug Metabolism and Pharmacokinetics, Bayer AG, Berlin, Germany.
Background: Elinzanetant is a dual neurokinin-1,3 receptor antagonist in development for the treatment of menopausal vasomotor symptoms. The objectives of these studies were to characterize the mass balance and biotransformation of elinzanetant.
Methods: In the clinical evaluation, whole blood, plasma, urine, and feces were collected from healthy fasted male volunteers (n = 6) following a single dose of 120 mg [C]-elinzanetant oral suspension for analysis of total radioactivity and metabolite profiling.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!