We investigated factors that were thought to be associated with an increased incidence of squeaking of ceramic-on-ceramic total hip replacements. Between June 1997 and December 2008 the three senior authors implanted 2406 primary total hip replacements with a ceramic-on-ceramic bearing surface. The mean follow-up was 10.6 years. The diagnosis was primary osteoarthritis in each case, and no patient had undergone previous surgery to the hip. We identified 74 squeaking hips (73 patients) giving an incidence of 3.1% at a mean follow-up of 9.5 years (4.1 to 13.3). Taller, heavier and younger patients were significantly more likely to have hips that squeaked. Squeaking hips had a significantly higher range of post-operative internal (p = 0.001) and external rotation (p = 0.003) compared with silent hips. Patients with squeaking hips had significantly higher activity levels (p = 0.009). A squeaking hip was not associated with a significant difference in patient satisfaction (p = 0.24) or Harris hip score (p = 0.34). Four implant position factors enabled good prediction of squeaking. These were high acetabular component inclination, high femoral offset, lateralisation of the hip centre and either high or low acetabular component anteversion. This is the largest study to date to examine patient factors and implant position factors that predispose to squeaking of a ceramic-on-ceramic hip. The results suggest that factors which increase the mechanical forces across the hip joint and factors which increase the risk of neck-to-rim impingement, and therefore edge-loading, are those that predispose to squeaking.
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http://dx.doi.org/10.1302/0301-620X.93B4.25707 | DOI Listing |
J Arthroplasty
January 2025
Vanderbilt University Medical Center, Department of Orthopaedic Surgery.
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The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510405, PR China; Guangdong Clinical Research Academy of Chinese Medicine, Guangzhou 510130, PR China; Guangzhou University of Chinese Medicine Postdoctoral Research Station, Guangzhou 510130, PR China. Electronic address:
Intervertebral disc degeneration (IVDD), an age-associated degenerative condition, significantly contributes to low back pain, thereby adversely affecting individual health and quality of life, while also imposing a substantial societal burden. Baicalein, a natural flavonoid derived from Scutellaria baicalensis Georgi, demonstrates a range of pharmacological activities, including antioxidant, anti-inflammatory, anti-tumor, and antibacterial properties. This positions it as a promising candidate for the treatment of IVDD through intradiscal drug delivery.
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Department of Cardiology, Ziekenhuis Oost-Limburg, Genk, Belgium (D.M.F.v.d.B., E.M.P., E.W., D.C., E.M., B.F., M.V., J.D., K.A.).
Background: Geographic stent-ostium mismatch is an important predictor of target lesion failure after percutaneous coronary intervention of an aorto-ostial right coronary artery lesion. Optimal visualization of the aorto-ostial plane is crucial for precise stent implantation at the level of the ostium. This study investigates whether preprocedural 3-dimensional computed tomography (3DCT), with determination of the optimal viewing angle, would allow for more precise stent implantation and reduce procedure time, contrast, and radiation dose.
View Article and Find Full Text PDFStem Cell Res Ther
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College & Hospital of Stomatology, Key Laboratory of Oral Diseases Research of Anhui Province, Anhui Medical University, Hefei, 230032, China.
Background: The aging of bone marrow mesenchymal stem cells (BMSCs) impairs bone tissue regeneration, contributing to skeletal disorders. LncRNA NEAT1 is considered as a proliferative inhibitory role during cellular senescence, but the relevant mechanisms remain insufficient. This study aims to elucidate how NEAT1 regulates mitotic proteins during BMSCs aging.
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Bangkok Hospital Dental Center Holistic Care and Dental Implant, Bangkok Hospital, Bangkok, 10310, Thailand.
Background: Assessing the difficulty of impacted lower third molar (ILTM) surgical extraction is crucial for predicting postoperative complications and estimating procedure duration. The aim of this study was to evaluate the effectiveness of a convolutional neural network (CNN) in determining the angulation, position, classification and difficulty index (DI) of ILTM. Additionally, we compared these parameters and the time required for interpretation among deep learning (DL) models, sixth-year dental students (DSs), and general dental practitioners (GPs) with and without CNN assistance.
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