The aim of the study was to longitudinally investigate symptomatic and structural factors prior to total knee replacement (TKR) surgery in order to identify influential factors that can predict a patient’s need for TKR surgery. In total, 165 participants (60% females; 64.5 ± 8.4 years; 29.7 ± 4.7 kg/m²) receiving a TKR in any of both knees within a four-year period were analyzed. Radiographic change, knee pain, knee function and quality of life were annually assessed prior to the TKR procedure. Self-learning artificial neural networks were applied to identify driving factors for the surgical procedure. Significant worsening of radiographic structural change was observed prior to TKR (p ≤ 0.0046), whereas knee symptoms (pain, function, quality of life) worsened significantly only in the year prior to the TKR procedure. By using our prediction model, we were able to predict correctly 80% of the classified individuals to undergo TKR surgery with a positive predictive value of 84% and a negative predictive value of 73%. Our prediction model offers the opportunity to assess a patient’s need for TKR surgery two years in advance based on easily available patient data and could therefore be used in a primary care setting.

Background: During the last few decades the prevalence of lumbar disc herniation has been increasing constantly, thereby imposing a significant socioeconomic burden. Physiotherapy plays a crucial role in both surgical and conservative treatment of lumbar disc herniation, consequently the current COVID-19 pandemic with concomitant lockdowns has led to a shortage of physiotherapeutical care. In the light of these recent events publicly available physiotherapy tutorials may be a useful tool to address this problem. Aim: The main aim of this study was to assess the quality of online physiotherapy exercise tutorials for lumbar disc herniation. Materials & Methods: With YouTube being a widely known and used platform we screened 240 of the most viewed videos. A total of 76 videos met the inclusion criteria and were statistically analyzed. The videos were assessed using Global Quality Score, DISCERN Score and JAMA benchmark criteria and in regard to their applicability. Results: They displayed a wide range of views (44,969 to 5,448,717), likes (66 to 155,079) and dislikes (6 to 2339). The videos were assessed using Global Quality Score, DISCERN Score and JAMA benchmark criteria and in regard to their applicability. Neither the number of “Views”, “Likes”, nor “Dislikes” was found to have a significant association with any of the quality measures used in this study. Conclusion: Overall quality grade was determined as “moderate”. Based on the data examined in this study, the use of YouTube videos as a source of therapy advice for lumbar spine disc herniation cannot be recommended universally.

Background: Hip fractures are a prevalent and serious health issue, particularly among the elderly population aged >65 years. These injuries are associated with elevated rates of postoperative complications and mortality, significantly diminishing patients’ quality of life in both the short- and long-term. The prognosis for recovery is further exacerbated in individuals with signs of malnutrition. The primary objective of this study was to evaluate the predictive value of four distinct nutritional assessment scores in relation to postoperative mortality in patients undergoing surgical intervention for hip fractures at 1, 3, 6, 12, and 24 months. Methods: This observational study included patients admitted to the Department of Traumatology at the Medical University for the surgical management of hip fractures between January 2019 and November 2021. Nutritional assessment scores were derived from a retrospective analysis of clinical data. The statistical correlation between nutritional scores and postoperative mortality outcomes was rigorously evaluated. Results: Logistic regression analysis revealed a statistically significant correlation (p < 0.01) between all four nutritional scores and postoperative mortality risk. The malnourished cohorts demonstrated a markedly higher risk of mortality compared to those with adequate nutritional status, as indicated by the following risk ratios: Graz Malnutrition Screening (risk ratio = 2.53–1.68), Prognostic Nutritional Index (risk ratio = 2.44–1.74), Geriatric Nutritional Risk Index (risk ratio = 2.05–1.58), and Controlling Nutritional Status (risk ratio = 2.34–1.46). Despite these findings, the receiver operating characteristic analysis yielded area under the curve (AUC) values ranging from 0.64 to 0.68, indicating limited predictive power. Conclusions: Although a significant correlation existed between the evaluated nutritional scores and postoperative mortality, the predictive value of these scores was quantitatively low. No single nutritional assessment tool has emerged as a strong predictor of postoperative outcomes in this patient population. Consequently, implementation of any specific nutritional screening tool for standard assessment in patients with hip fractures is not recommended at this time. Nevertheless, given the established association between malnutrition and postoperative mortality, a comprehensive evaluation of nutritional status is advisable and further research is needed.

Background: The integration of artificial intelligence (AI), particularly large language models (LLMs) like ChatGPT-4, is transforming healthcare. ChatGPT’s potential to assist in decision-making for complex cases, such as spinal metastasis treatment, is promising but widely untested. Especially in cancer patients who develop spinal metastases, precise and personalized treatment is essential. This study examines ChatGPT-4’s performance in treatment planning for spinal metastasis cases compared to experienced spine surgeons. Materials and Methods: Five spine metastasis cases were randomly selected from recent literature. Consequently, five spine surgeons and ChatGPT-4 were tasked with providing treatment recommendations for each case in a standardized manner. Responses were analyzed for frequency distribution, agreement, and subjective rater opinions. Results: ChatGPT’s treatment recommendations aligned with the majority of human raters in 73% of treatment choices, with moderate to substantial agreement on systemic therapy, pain management, and supportive care. However, ChatGPT’s recommendations tended towards generalized statements, with raters noting its generalized answers. Agreement among raters improved in sensitivity analyses excluding ChatGPT, particularly for controversial areas like surgical intervention and palliative care. Conclusions: ChatGPT shows potential in aligning with experienced surgeons on certain treatment aspects of spinal metastasis. However, its generalized approach highlights limitations, suggesting that training with specific clinical guidelines could potentially enhance its utility in complex case management. Further studies are necessary to refine AI applications in personalized healthcare decision-making.

Over the last few decades, the number of lumbar interbody fusion surgeries performed has been constantly increasing, with transforaminal lumbar interbody fusion (TLIF) being one of the most common surgical techniques. Due to easy accessibility, patients frequently use YouTube to obtain information on health-related issues. Consequently, online video platforms may be a valuable tool for patient education. The aim of this study was to assess the quality, reliability, and comprehensiveness of online videos on TLIF. We screened 180 videos on YouTube, yielding a total of 30 videos that met the inclusion criteria. These videos were evaluated using Global Quality Scale, DISCERN reliability tool, and JAMA Benchmark Score, and assessed in regard to their comprehensiveness and coverage of relevant aspects. At the time of rating, the videos had between 9188 and 1,530,408 views and between 0 and 3344 likes. The median rater assessment for all videos was “moderate quality”. GQS and subjective grades showed a moderate to strong statistically significant association with views and likes. Considering this association of GQS and subjective grade with views and likes, these criteria could be used by laypersons to identify good-quality content. Nevertheless, there is an urgent need for peer-reviewed content that covers all of the relevant aspects.

Background/Objectives: Retained epidural catheter fragments are an infrequent but clinically relevant complication of neuraxial anesthesia. Optimal management remains undefined, with limited evidence guiding treatment selection or risk stratification. This systematic review synthesized individual patient data to compare treatment strategies, examine surgical outcomes, and determine predictors of intervention. Methods: A systematic review was conducted across six databases in accordance with PRISMA guidelines (PROSPERO: CRD420025638305). Adult cases of retained epidural catheter fragments were included. Functional outcomes were standardized using modified MacNab, McCormick, and Therapy–Disability–Neurology (TDN) scores. Predictors of surgery and detectability were assessed using univariate and multivariate logistic regression models with Firth correction. Results: Forty studies comprising 51 patients were included. Conservative management was chosen in 23 cases (45%); 39.1% (n = 9) ultimately required delayed surgery due to symptom onset during follow-up. Surgical removal (n = 28, 55%) was safe and yielded excellent outcomes in 95.8% of cases. Fragment length was significantly associated with increased odds of surgery (OR = 1.05, 95% CI: 1.01–1.10, p = 0.04), while catheter material was associated with surgery in univariate analysis (OR = 2.49, 95% CI: 1.08–9.00, p = 0.03). An MRI demonstrated the highest diagnostic accuracy (AUC = 0.859, cutoff = 70 mm catheter length), outperforming CT (AUC = 0.611) and X-ray (AUC = 0.533). Across all patients, 84.3% achieved “Excellent” recovery per MacNab, with no neurological deterioration in any surgical case. Conclusions: Surgical removal of retained epidural catheter fragments is safe and effective in symptomatic patients. Conservative management is viable for asymptomatic cases under structured surveillance. Catheter material and fragment length may dictate imaging selection and treatment decisions.