METHODS: A modified Delphi study was used. A total of 70 statements were presented, using an online platform, over three consensus-seeking rounds, to participants with experience in the hospital care of patients with acute vertebral fragility fractures from UK-based specialist societies. Participants rated the level of their agreement with each statement on a 5-point Likert scale. Consensus was defined at 70% of respondents choosing either agree/strongly agree or disagree/strong disagree. Over the first two rounds, statements not reaching consensus were modified in subsequent rounds, and new statements proposed by participants and agreed by the research team could be added.
RESULTS: There were 71 participants in the first round, 37 in the second round and 28 (most of whom were geriatricians) in the third round. Consensus was reached in 52 statements covering fracture diagnosis, second-line imaging, organisation of hospital care, pain management and falls and bone health assessment. Consensus was not achieved for whether vertebral fragility fractures should be managed in a specific clinical area.
DISCUSSION: These findings provide the basis for the development of clinical guidelines and quality improvement initiatives. They also help to justify research into the merits of managing acute vertebral fragility fracture patients in a specific clinical area.
METHOD: A structured educational intervention was provided to older adults who visited the primary care setting in Gemas and provided written informed consent to participate in the study. A total of 310 older adult patients was included in the study using a convenience sampling technique.
RESULTS: Before the intervention, 74.84% of the respondents (n = 232) agreed that falls and related fractures are the leading causes of hospital admission among older adults. In post-intervention, the number of respondents who agreed with this statement increased to 257 (82.91%). At baseline, 28 respondents (9.03%) had poor knowledge, 160 respondents (51.61%) had average knowledge levels, and 122 respondents (39.35%) had good knowledge. In post-intervention, respondents with poor and average knowledge reduced to 1.93% (n = 6) and 29.35% (n = 91) respectively. A majority of respondents' knowledge levels improved significantly after the intervention (n = 213; 68.71%). About eight respondents (2.58%) had a negative perception of falls. In post-intervention, the percentage reduced to 0.65% as only two respondents had a negative perception. A total of 32 types of fall-risk-increasing drugs (FRIDs) have been prescribed to the respondents. A strong correlation (r = 0.89) between pre- and post-intervention knowledge was shown among the respondents. Paired t-test analysis showed a statistically significant difference.
CONCLUSION: The pharmacist-led educational intervention significantly improved the knowledge, attitude, and perception of falls among older adults. More structured and periodical intervention programmes are warranted to reduce the risk of falls and fractures among older adults.
METHODS: We report a case of a 49-year-old lady with history of poliomyelitis with resultant flaccid paralysis of the involved limb.
RESULTS: The bone mineral density revealed asymmetrical severe osteoporosis in the poliomyelitic limb. Given the risk of falls and fractures, she was commenced on oral bisphosphonate therapy.
CONCLUSION: Poliomyelitis is an important acquired risk factor for regional osteoporosis. This condition should be detected and treated in this cohort of patients who are clearly at higher risk of fractures.
METHOD: In total, 24 female Sprague-Dawley rats were divided into three groups. The first group was sham-operated, and the other two groups were ovariectomized. After two months, the right femora of the rats were fractured under anesthesia and internally repaired with K-wires. The sham-operated and ovariectomized control rat groups were administered olive oil (a vehicle), whereas 60 mg/kg of alpha-tocopherol was administered via oral gavage to the alpha-tocopherol group for six days per week over the course of 8 weeks. The rats were sacrificed, and the femora were dissected out. Computed tomography scans and X-rays were performed to assess fracture healing and callus staging, followed by the assessment of callus strengths through the biomechanical testing of the bones.
RESULTS: Significantly higher callus volume and callus staging were observed in the ovariectomized control group compared with the sham-operated and alpha-tocopherol groups. The ovariectomized control group also had significantly lower fracture healing scores than the sham-operated group. There were no differences between the alpha-tocopherol and sham-operated groups with respect to the above parameters. The healed femora of the ovariectomized control group demonstrated significantly lower load and strain parameters than the healed femora of the sham-operated group. Alpha-tocopherol supplementation was not able to restore these biomechanical properties.
CONCLUSION: Alpha-tocopherol supplementation appeared to promote bone fracture healing in osteoporotic rats but failed to restore the strength of the fractured bone.
INTRODUCTION: Artificial intelligence (AI) is a relatively new technology that has widespread use in dentistry. The AI technologies have primarily been used in dentistry to diagnose dental diseases, plan treatment, make clinical decisions, and predict the prognosis. AI models like convolutional neural networks (CNN) and artificial neural networks (ANN) have been used in endodontics to study root canal system anatomy, determine working length measurements, detect periapical lesions and root fractures, predict the success of retreatment procedures, and predict the viability of dental pulp stem cells. Methodology. The literature was searched in electronic databases such as Google Scholar, Medline, PubMed, Embase, Web of Science, and Scopus, published over the last four decades (January 1980 to September 15, 2021) by using keywords such as artificial intelligence, machine learning, deep learning, application, endodontics, and dentistry.
RESULTS: The preliminary search yielded 2560 articles relevant enough to the paper's purpose. A total of 88 articles met the eligibility criteria. The majority of research on AI application in endodontics has concentrated on tracing apical foramen, verifying the working length, projection of periapical pathologies, root morphologies, and retreatment predictions and discovering the vertical root fractures.
CONCLUSION: In endodontics, AI displayed accuracy in terms of diagnostic and prognostic evaluations. The use of AI can help enhance the treatment plan, which in turn can lead to an increase in the success rate of endodontic treatment outcomes. The AI is used extensively in endodontics and could help in clinical applications, such as detecting root fractures, periapical pathologies, determining working length, tracing apical foramen, the morphology of root, and disease prediction.