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J Med Biochem
November 2024
Shanghai Shuguang Hospital Affiliated with Shanghai University of TCM, Department of Laboratory Medicine, Shanghai, China.
Background: The present study aims to (1) evaluate the autoanalyser quality control (QC) module of the Kehua Polaris c2000 automatic modularised biochemical analyser and (2) verify the impact of the analyser's automatic implementation of internal QC (IQC) testing at a set time point on the results of IQC and turnaround time (TAT).
Methods: For 5 consecutive days, three different methods were used to conduct IQC. Method 1: Internal QC was carried out at 8:00 every day.
BMC Nurs
January 2025
College of Medicine and Health Sciences, School of Nursing and Midwifery, University of Rwanda, Po. Box: 3286, Kigali, Rwanda.
Background: Pressure injuries are costly and can lead to mortality and psychosocial consequences if not managed effectively. Proper management of pressure injuries is crucial for quality nursing care. However, there is limited research on nurses' knowledge and practices in preventing and managing pressure injuries among critically ill patients in Rwanda.
View Article and Find Full Text PDFCell Transplant
January 2025
Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Neuropathic pain is a debilitating complication following spinal cord injury (SCI). Currently, effective treatments for SCI-induced neuropathic pain are highly lacking. This clinical trial aimed to investigate the efficacy of combined intrathecal injection of Schwann cells (SCs) and bone marrow-derived mesenchymal stem cells (BMSCs) in improving SCI-induced neuropathic pain.
View Article and Find Full Text PDFJ Dent
January 2025
Department of Oral & Maxillofacial Radiology, Peking University School & Hospital of Stomatology, Beijing 100081, China; National Center for Stomatology & National Clinical Research Center for Oral Diseases, Beijing 100081, China; National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing 100081, China; Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China. Electronic address:
Objectives: In this study, artificial intelligence techniques were used to achieve automated diagnosis and classification of temporomandibular joint (TMJ) degenerative joint disease (DJD) on cone beam computed tomography (CBCT) images.
Methods: An AI model utilizing the YOLOv10 algorithm was trained, validated and tested on 7357 annotated and corrected oblique sagittal TMJ images (3010 images of normal condyles and 4347 images of condyles with DJD) from 1018 patients who visited Peking University School and Hospital of Stomatology for temporomandibular disorders and underwent TMJ CBCT examinations. This model could identify DJD as well as the radiographic signs of DJD, namely, erosion, osteophytes, sclerosis and subchondral cysts.
Cureus
December 2024
Orthopedics, Hospital Putrajaya, Putrajaya, MYS.
Introduction Lumbar pyogenic spondylodiscitis is a challenging and rare spinal infection with high morbidity, particularly in patients with comorbidities. While the extreme lateral interbody fusion (XLIF) technique is established in treating degenerative spinal conditions, its efficacy in managing spondylodiscitis is less well-studied. This study aims to evaluate the clinical and radiographic outcomes of the XLIF approach combined with posterior instrumentation in patients with lumbar spondylodiscitis.
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