Experience with accelerated ponseti technique for treatment of idiopathic clubfoot in a regional orthopaedic hospital in Nigeria.

Introduction: Idiopathic talipes equinovarus (ITEV) 'aka clubfoot' is the most common foot deformity in children. Ponseti technique had been accepted as a standard method for correction. The traditional Ponseti technique for correction is well known. Accelerated Ponseti technique is said to offer some advantages over the standard technique. The aim of this study was to determine and document the efficiency and success rate of accelerated Ponseti technique. Methods: This was a prospective interventional study which lasted 26 months from February 2017 to April 2019. Twenty-eight patients with 42 feets who met the inclusion criteria were recruited. They had serial manipulation and casting twice every week till percutaneous tenotomy was done as indicated. Final cast usually applied after tenotomy and left for 3weeks. Each patient was followed up for a year corresponding to 9 months after the commencement of night bracing. Data were analysed using SPSS version 20. Results: The mean age was 8.1 months with a range of 1-36 months. The mean Pirani score recorded was 4.4, while the mean number of casting sessions was 3.6 and the mean duration of treatment was 12.4 days. The tenotomy rate recorded was 42.9%. Pre-bracing assessment of Pirani score, passive ankle dorsiflexion and foot abduction done and repeated after a year revealed optimal correction. The relapsed rate at 1 year was 4.8%. The only complication observed was pressure sore in a patient. Conclusion: The accelerated Ponseti technique is an efficient method of treatment of ITEV in a much shorter time with a higher success rate. It facilitates compliance with treatment.

A Hybrid Architecture (CO-CONNECT) to Facilitate Rapid Discovery and Access to Data Across the United Kingdom in Response to the COVID-19 Pandemic: Development Study.

BACKGROUND: COVID-19 data have been generated across the United Kingdom as a by-product of clinical care and public health provision, as well as numerous bespoke and repurposed research endeavors. Analysis of these data has underpinned the United Kingdom's response to the pandemic, and informed public health policies and clinical guidelines. However, these data are held by different organizations, and this fragmented landscape has presented challenges for public health agencies and researchers as they struggle to find relevant data to access and interrogate the data they need to inform the pandemic response at pace. OBJECTIVE: We aimed to transform UK COVID-19 diagnostic data sets to be findable, accessible, interoperable, and reusable (FAIR). METHODS: A federated infrastructure model (COVID - Curated and Open Analysis and Research Platform [CO-CONNECT]) was rapidly built to enable the automated and reproducible mapping of health data partners' pseudonymized data to the Observational Medical Outcomes Partnership Common Data Model without the need for any data to leave the data controllers' secure environments, and to support federated cohort discovery queries and meta-analysis. RESULTS: A total of 56 data sets from 19 organizations are being connected to the federated network. The data include research cohorts and COVID-19 data collected through routine health care provision linked to longitudinal health care records and demographics. The infrastructure is live, supporting aggregate-level querying of data across the United Kingdom. CONCLUSIONS: CO-CONNECT was developed by a multidisciplinary team. It enables rapid COVID-19 data discovery and instantaneous meta-analysis across data sources, and it is researching streamlined data extraction for use in a Trusted Research Environment for research and public health analysis. CO-CONNECT has the potential to make UK health data more interconnected and better able to answer national-level research questions while maintaining patient confidentiality and local governance procedures.