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Orthopaedic Proceedings
Vol. 106-B, Issue SUPP_6 | Pages 60 - 60
2 May 2024
Farrow L Clement N Meek D
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Given the prolonged waits for hip arthroplasty seen across the U.K. it is important that we optimise priority systems to account for potential disparities in patient circumstances and impact. We set out to achieve this through a two-stage approach. This included a Delphi-study of patient and surgeon preferences to determine what should be considered when determining patient priority, followed by a Discrete Choice Experiment (DCE) to decide relative weighting of included attributes. The study was conducted according to the published protocol ([. https://boneandjoint.org.uk/article/10.1302/2633-1462.310.BJO-2022-0071. ](. https://boneandjoint.org.uk/article/10.1302/2633-1462.310.BJO-2022-0071. )). The Delphi study was performed online over 3 rounds with anonymous ranking and feedback. Included factors were voted as either Consensus in, Consensus out, or No Consensus• following an established scoring criterion. A final consensus meeting determined the prioritisation factors (and their levels) to be included in the DCE. The DCE was then conducted using an online platform, with surgeons performing 18 choice sets regarding which merited greater priority between two hypothetical patients. Results were collated and analysed using multinomial logit regression analysis (MNL). For the Delphi study there were 43 responses in the first round, with a subsequent 91% participation rate. Final consensus inclusion was achieved for Pain; Mobility/Function; Activities of Daily Living; Inability to Work/Care; Length of Time Waited; Radiological Severity and Mental Wellbeing. 70 individuals subsequently contributed to the DCE, with radiological severity being the most significant factor (Coefficient 2.27 \[SD 0.31\], p<0.001), followed by pain (Coefficient 1.08 \[SD 0.13\], p<0.001) and time waited (Coefficient for 1-month additional wait 0.12 \[SD 0.02\], p<0.001). The calculated trade-off in waiting time for a 1-level change in pain (e.g., moderate to severe pain) was 9.14 months. These results present a new method of determining comparative priority for those on primary hip arthroplasty waiting lists. Evaluation of potential implementation in clinical practice is now required


Orthopaedic Proceedings
Vol. 106-B, Issue SUPP_6 | Pages 53 - 53
2 May 2024
Vaghela M Benson D Arbis A Selmon G Roger B Chan G
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The Nottingham Hip Fracture Score (NHFS) is validated to predict mortality after fragility neck of femur fractures (NOF). Risk stratification supports informed consent, peri-operative optimisation and case prioritisation. With the inclusion of fragility distal femur fractures (DFF) in the BPT, increasing attention is being placed on the outcome of these injuries. Developing on the lessons learnt over the past decades in NOF management is key. This study assesses the validity of the NHFS in predicting mortality after fragility DFFs. A multi-centre study of 3 high volume fragility fracture units was performed via a retrospective analysis of prospectively collected databases. Patients aged 60 years-of-age who presented with AO 33.A/B/C native DFF, or V.3.A/B periprosthetic DFF over an 86-month period between September 2014 and December 2021 and underwent surgical treatment were eligible for inclusion. Open and/or polytrauma (ISS >15) were excluded. All operations were performed or supervised by Consultant Orthopaedic Surgeons and were reviewed peri-operatively by a 7-day MDT. Patients with a NHFS of gt;=5 were stratified into a high-risk of 30-day mortality cohort, with all others being œlow-risk. 285 patients were eligible for inclusion with 92 considered to be low-risk of 30-day mortality, these tended to be younger female patients admitted from their own homes. 30-day mortality was 0% in the low-risk cohort and 6.2% (12/193) in the high-risk group. 1-year mortality was 8.7% (8/92) and 35.7% (69/193) in the low and high-risk groups respectively. Area Under the Curve (AUC) analyses of Receiver Operator Characteristic (ROC) curves demonstrated the greatest ability to predict mortality at 30-days for the high-risk cohort (0.714). The NHFS demonstrates a good ability to predict 30-day mortality in those patients with a NHFS =5 after a surgically managed fragility DFF. With comparable mortality outcomes to those documented from fragility NOF


Bone & Joint Open
Vol. 1, Issue 8 | Pages 500 - 507
18 Aug 2020
Cheruvu MS Bhachu DS Mulrain J Resool S Cool P Ford DJ Singh RA

Aims

Our rural orthopaedic service has undergone service restructure during the COVID-19 pandemic in order to sustain hip fracture care. All adult trauma care has been centralised to the Royal Shrewsbury Hospital for assessment and medical input, before transferring those requiring operative intervention to the Robert Jones and Agnes Hunt Orthopaedic Hospital. We aim to review the impact of COVID-19 on hip fracture workload and service changes upon management of hip fractures.

Methods

We reviewed our prospectively maintained trust database and National Hip Fracture Database records for the months of March and April between the years 2016 and 2020. Our assessment included fracture pattern (intrascapular vs extracapsular hip fracture), treatment intervention, length of stay and mortality.