Cartilage tissue has a very limited ability to regenerate. Symptomatic cartilage lesions are currently treated by various cartilage repair techniques. Multiple treatment techniques have been proposed in the last 30 years. Nevertheless, no single technique is accepted as a gold standard. Minced cartilage implantation is a newer technique that has garnered increasing attention. This procedure is attractive because it is autologous, can be performed in a single surgery, and is therefore given it is cost-effective. This narrative review provides an overview of the biological potential of current cartilage regenerative repair techniques with a focus on the translational evidence of minced cartilage implantation.
Background While radiographs are a critical component of diagnosing musculoskeletal (MSK) injuries, they are associated with radiation exposure, patient discomfort, and financial costs. Our study initiative was to develop a system to diagnose pediatric MSK injuries efficiently while minimizing unnecessary radiographs. Methods This was a quality improvement trial performed prospectively at a single level one trauma center. A multidisciplinary team with leaders from pediatric orthopedics, trauma surgery, emergency medicine, and radiology created an algorithm delineating which x-rays should be obtained for pediatric patients presenting with MSK injuries. The intervention was performed in the following 3 stages: stage 1: retrospective validation of the algorithm, stage 2: implementation of the algorithm, and stage 3: sustainability evaluation. Outcomes measured included number of extra radiographs per pediatric patient and any missed injuries. Results In stage 1, 295 patients presented to the pediatric emergency department with MSK injuries. A total of 2148 radiographs were obtained, with 801 not indicated per the protocol, for an average of 2.75 unnecessary radiographs per patient. No injuries would have been missed using the protocol. In stage 2, 472 patients had 2393 radiographs with 339 not indicated per protocol, averaging 0.72 unnecessary radiographs per patient, a significant reduction from stage 1 (P < 0.001). There were no missed injuries identified on follow-up. In stage 3, improvement was sustained for the subsequent 8 months with an average of 0.34 unnecessary radiographs per patient (P < 0.05). Conclusions Sustained reduction of unnecessary radiation to pediatric patients with suspected MSK injuries was accomplished through the development and implementation of a safe and effective imaging algorithm. The multidisciplinary approach, widespread education of pediatric providers, and standardized order sets improved buy-in and is generalizable to other institutions. Level of Evidence: III
Background: Children are more vulnerable to ionizing radiation which increases health risks later in life including cancer. An interdepartmental team developed an algorithm to guide providers ordering extremity radiographs in pediatric patients with musculoskeletal (MSK) injuries. Purpose: Reduce unnecessary pediatric radiation/extremity radiographs through development and implementation of an interdepartmental designed algorithm. Determine utility, safety, and efficacy of the algorithm through retrospective and prospective analysis. Methods: Our study was performed at an academic pediatric trauma center. An interdepartmental committee including pediatric orthopedic surgery, emergency medicine, trauma, and radiology providers created a MSK injury imaging algorithm (Figure 1). We retrospectively validated the algorithm for efficacy and safety through chart review of pediatric patients seen in the ED with MSK extremity injury, identified through CPT code, from 6/24/2016 through 8/31/2016. We determined the number of extra radiographs per patient and identified if injuries would be missed utilizing our protocol. After retrospective validation, guideline implementation was undertaken through multidisciplinary education. The imaging guideline was prospectively implemented in the pediatric ED from 6/24/2018 through 8/31/2018. We continued to prospectively evaluate through selecting one week every month over the following eight months to determine sustainability of the implemented algorithm. Results: Our interdepartmental team in 2016 developed a pediatric MSK radiograph protocol (Figure 1). A retrospective chart and radiograph review of 295 pediatric patients between 6/24/2016 through 8/31/2016 was analyzed correlating physical examination to appropriate radiographs. Utilizing the protocol, the review revealed an average of 2.75 extra radiographs per patient. No injuries were missed. Providers including orthopedic and emergency medicine attendings, mid-levels, and residents were educated through meetings, emails, and having the protocol posted and easily accessible. Our protocol was implemented 6/24/18 and underwent prospective enrollment and review through 8/31/18 which revealed a reduction to 0.72 radiographs per patient (P-value <0.001) (Figure 2). Eight month follow up revealed a sustainable reduction in extra radiographs per patient (Figure 3). Conclusion: Reduction of unnecessary radiation to pediatric patients with MSK extremity injuries was accomplished through development and implementation of a safe and effective imaging algorithm. The multidisciplinary approach combined with widespread education of pediatric providers improved buy-in driving a sustainable system improvement. [Figure: see text][Figure: see text][Figure: see text]
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.