A developing use of nanotechnology in medicine involves using nanoparticles to administer drugs, genes, biologicals, or other materials to targeted cell types, such as cancer cells. In healthcare, nanotechnology has brought about revolutionary changes in the treatment of various medical and surgical conditions, including in orthopedic. Its clinical applications in surgery range from developing surgical instruments and suture materials to enhancing imaging techniques, targeted drug delivery, visualization methods, and wound healing procedures. Notably, nanotechnology plays a significant role in preventing, diagnosing, and treating orthopedic disorders, which is crucial for patients\' functional rehabilitation. The integration of nanotechnology improves standards of patient care, fuels research endeavors, facilitates clinical trials, and eventually improves the patient\'s quality of life. Looking ahead, nanotechnology holds promise for achieving sustained success in numerous surgical disciplines, including orthopedic surgery, in the years to come. This review aims to focus on the application of nanotechnology in orthopedic surgery, highlighting the recent development and future perspective to bridge the bridge for clinical translation.

Complex fractures present significant challenges in orthopaedic surgery, particularly in terms of postoperative wound healing. Nutritional status plays a crucial role in the recovery process, with early nutritional support potentially influencing wound healing outcomes. This meta-analysis aimed to assess the impact of early nutritional interventions on postoperative wound healing and scar formation in patients with complex fractures. From an initial pool of 1742 articles, 7 studies were selected for analysis. The results revealed that preoperative nutritional support significantly improved early wound healing, as indicated by lower REEDA scores (SMD = -14.06, 95% CI: [-16.79, -11.32], p < 0.01) 1 week post-surgery. Furthermore, there was a notable reduction in scar formation, as demonstrated by lower Manchester Scar Scale scores (SMD = -25.03, 95% CI: [-30.32, -19.74], p < 0.01) 3 months post-surgery. These findings highlight the importance of incorporating nutritional strategies into the management of complex fractures to optimize postoperative recovery.

Recent advancements in orthopedic surgery have greatly improved the management of musculoskeletal disorders and injuries. This review discusses the latest therapeutic approaches that have emerged in orthopedics. We examine the use of regenerative medicine, including stem cell therapy and platelet-rich plasma (PRP) injections, to accelerate healing and promote tissue regeneration. Additionally, we explore the application of robotic-assisted surgery, which provides greater precision and accuracy during surgical procedures. We also delve into the emergence of personalized medicine, which tailors treatments to individual patients based on their unique genetic and environmental factors. Furthermore, we discuss telemedicine and remote patient monitoring as methods for improving patient outcomes and reducing healthcare costs. Finally, we examine the growing interest in using artificial intelligence and machine learning in orthopedics, particularly in diagnosis and treatment planning. Overall, these advancements in therapeutic approaches have significantly improved patient outcomes, reduced recovery times, and enhanced the overall quality of care in orthopedic surgery.

UNASSIGNED: To identify the most important risk factors for predicting pressure injury (PI) occurrence in adult orthopaedic surgical patients based on investigation data, thereby identifying at-risk patients and facilitating formulation of an effective patient care strategy.
UNASSIGNED: Patients were assessed with an instrument designed by the authors specifically for this study in a cross-sectional investigation following the STROBE checklist. The random forest method was adopted to select the most important risk factors and predict occurrence of PIs.
UNASSIGNED: A dataset of 27 risk factors from 1701 patients was obtained. A subset of the 15 most important risk factors was identified. The random forest method had a high prediction accuracy of 0.9733 compared with 0.9281 calculated with a logistic model.
UNASSIGNED: Results indicated that the selected 15 risk factors, such as activity ability, friction/shear force, skin type and anaesthesia score, performed very well in predicting the occurrence of PIs in adult orthopaedic surgical patients.

The aim of this study was to evaluate the effects of perioperative application of enhanced recovery after surgery (ERAS) concepts on wound infections and post-operative complications in patients receiving orthopaedic surgery, to provide a theoretical basis for post-operative care. Randomised controlled trials (RCTs) on the application of ERAS to patients receiving orthopaedic surgery, published up to October 2023, were identified in PubMed, Web of Science, Cochrane Library, Embase, Wanfang, China Biomedical Literature Database and China National Knowledge Infrastructure databases. Literature was screened and evaluated by two reviewers based on the inclusion and exclusion criteria, and data were extracted from the final included articles. Data were analysed using RevMan 5.4 software. A total of 20 RCTs were included in the analysis, which included 1875 patients undergoing orthopaedic surgery, of whom 938 and 937 were in the ERAS and control groups, respectively. The analysis revealed that in patients undergoing orthopaedic surgery, implementation of ERAS in the perioperative period was associated with a significantly reduced the rate of wound infections (1.6% vs. 6.19%, risk ratio [RR]: 0.30, 95% confidence interval [CI]: 0.18-0.50, p < 0.001) and complication (5.12% vs. 21.88%, RR: 0.23, 95% CI: 0.17-0.32, p < 0.001) and can effectively shorten the hospital length of stay (standardised mean difference [SMD]: -2.50 days, 95% CI: -3.17 to -1.83 days, p < 0.001) compared with that of conventional care. The available evidence suggests that the implementation of ERAS in the perioperative period of patients undergoing orthopaedic surgery could effectively reduce the rate of wound infections and complications, shorten the hospital length of stay and promote the early recovery of patients.

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BACKGROUND: The escalating prevalence of type 2 diabetes raises concerns about adverse postoperative outcomes like surgical site infections (SSIs) and deep vein thrombosis (DVT) in orthopaedic surgeries. This meta-analysis aims to resolve inconclusive evidence by systematically quantifying the risks in type 2 diabetic patients compared to non-diabetic individuals.
METHODS: The meta-analysis was conducted adhering to the PRISMA guidelines and based on the PICO framework. Four primary databases were searched: PubMed, Embase, Web of Science and the Cochrane Library, with no temporal restrictions. Studies included were either prospective or retrospective cohort studies published in English or Chinese, which assessed orthopaedic surgical outcomes among adult type 2 diabetic and non-diabetic patients. The meta-analysis employed the Newcastle-Ottawa Scale for quality assessment and used both fixed-effect and random-effects models for statistical analysis based on the level of heterogeneity.
RESULTS: Out of 951 identified articles, nine studies met the inclusion criteria. The odds ratio (OR) for developing postoperative SSIs among diabetic patients was 1.63 (95% CI: 1.19-2.22), indicating a significantly elevated risk compared to non-diabetic subjects. Conversely, no statistically significant difference in the risk of postoperative DVT was found between the two groups (OR: 0.82; 95% CI: 0.55-1.22). Sensitivity analysis confirmed the stability of these outcomes.
CONCLUSIONS: Patients with type 2 diabetes are at a higher risk of developing SSIs post orthopaedic surgery compared to non-diabetic individuals. However, both groups demonstrated comparable risks for developing postoperative DVT.

Surgical site wound infection is one of the most common postoperative complications in orthopaedic clinical practice. This study employed a meta-analysis approach to comprehensively evaluate the effect of operating room nursing interventions on the prevention of surgical site wound infections in orthopaedic surgical patients. A computer search was conducted using PubMed, EMBASE, Cochrane Library, China National Knowledge Infrastructure (CNKI), Chinese Biomedical Literature Database (CBM), VIP, and Wanfang databases from the inception of each database until May 2023 for randomised controlled trials (RCTs) that investigated the application of operating room nursing interventions in orthopaedic surgery. Two reviewers independently screened the literature, extracted data, and assessed study quality. The meta-analysis was conducted using Stata 17.0. A total of 29 studies involving 3567 patients were included, with 1784 patients in the intervention group, and 1783 patients in the control group. The results of the meta-analysis showed that compared with the control group, the use of operating room nursing interventions significantly reduced the incidence of surgical site wound infection after orthopaedic surgery (2.85% vs. 13.24%; odds ratio: 0.18, 95% confidence interval: 0.14-0.25; p < 0.001). Current evidence suggests that operating room nursing interventions reduce the incidence of surgical site wound infections. However, owing to the limited number and low quality of the studies, more high-quality, large-sample RCTs are needed to further verify these findings.

A meta-analysis research was executed to appraise the consequence of intrawound vancomycin powder (IWVP) in orthopaedic surgery (OPS) as surgical site wound infection (SSWI) prophylaxis. Inclusive literature research till March 2023 was carried out and 2756 interconnected researches were revised. Of the 18 picked researches enclosed 13 214 persons with OPS were in the used researches\' starting point, 5798 of them were utilising IWVP, and 7416 were control. Odds ratio (OR) in addition to 95% confidence intervals (CIs) were used to appraise the consequence of the IWVP in OPS as SSWI prophylaxis by the dichotomous approaches and a fixed or random model. IWVP had significantly lower SSWIs (OR, 0.61; 95% CI, 0.50-0.74, P < .001), deep SSWIs (OR, 0.57; 95% CI, 0.36-0.91, P = .02), and superficial SSWIs (OR, 0.67; 95% CI, 0.46-0.98, P = .04) compared with control in persons with OPS. IWVP had significantly lower SSWIs, deep SSWIs, and superficial SSWIs compared with control in persons with OPS. However, when interacting with its values, caution must be taken and more research is needed to confirm this finding.

OBJECTIVE: Accurate three-dimensional (3D) models play crucial roles in computer assisted planning and interventions. MR or CT images are frequently used to derive 3D models but have the disadvantages that they are expensive or involving ionizing radiation (e.g., CT acquisition). An alternative method based on calibrated 2D biplanar X-ray images is highly desired.
METHODS: A point cloud network, referred as LatentPCN, is developed for reconstruction of 3D surface models from calibrated biplanar X-ray images. LatentPCN consists of three components: an encoder, a predictor, and a decoder. During training, a latent space is learned to represent shape features. After training, LatentPCN maps sparse silhouettes generated from 2D images to a latent representation, which is taken as the input to the decoder to derive a 3D bone surface model. Additionally, LatentPCN allows for estimation of a patient-specific reconstruction uncertainty.
RESULTS: We designed and conducted comprehensive experiments on datasets of 25 simulated cases and 10 cadaveric cases to evaluate the performance of LatentLCN. On these two datasets, the mean reconstruction errors achieved by LatentLCN were 0.83 mm and 0.92 mm, respectively. A correlation between large reconstruction errors and high uncertainty in the reconstruction results was observed.
CONCLUSIONS: LatentPCN can reconstruct patient-specific 3D surface models from calibrated 2D biplanar X-ray images with high accuracy and uncertainty estimation. The sub-millimeter reconstruction accuracy on cadaveric cases demonstrates its potential for surgical navigation applications.