16 research outputs found

    A retrospective cohort study of differential attainment, COVID and chaos: taking the difference out of a terrible trinity

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    Background: This study aimed to evaluate core surgical training (CST) differential attainment related to coronavirus disease 2019 (COVID-19), gender and ethnicity. The hypothesis was that COVID-19 adversely influenced CST outcomes. Methods: A retrospective cohort study of 271 anonymised CST records was undertaken at a UK Statutory Education Body. Primary effect measures were Annual Review of Competency Progression Outcome (ARCPO), Membership of the Royal College of Surgeons (MRCS) examination pass and Higher Surgical Training National Training Number (NTN) appointment. Data were collected prospectively at ARCP and analysed with non-parametric statistical methods in SPSS. Results: CSTs numbering 138 completed training pre-COVID and 133 peri-COVID. ARCPO 1, 2 and 6 were 71.9% pre-COVID versus 74.4% peri-COVID (P = 0.844). MRCS pass rates were 69.6% pre-COVID versus 71.1% peri-COVID (P = 0.968), but NTN appointment rates diminished (pre-COVID 47.4% vs. peri-COVID 36.9%, P = 0.324); none of the above varied by gender or ethnicity. Multivariable analyses by three models revealed: ARCPO was associated with gender [m:f 1:0.87, odds ratio (OR) 0.53, P = 0.043] and CST theme (Plastics vs. General OR 16.82, P = 0.007); MRCS pass with theme (Plastics vs. General OR 8.97, P = 0.004); NTN with the Improving Surgical Training run-through programme (OR 5.00, P < 0.001). Programme retention improved peri-COVID (OR 0.20, P = 0.014) with pan University Hospital rotations performing better than Mixed or District General-only rotations (OR 6.63, P = 0.018). Conclusion: Differential attainment profiles varied 17-fold, yet COVID-19 did not influence ARCPO or MRCS pass rates. NTN appointment fell by one-fifth peri-COVID, but overall training outcome metrics remained robust despite the existential threat

    Measuring coagulation in burns: an evidence-based systematic review

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    Measuring coagulation in burns: an evidence-based systematic reviewShow all authorsNicholas J. Marsden, Martin Van, Samera Dean, ...First Published September 5, 2017 Review Article Download PDFPDF download for Measuring coagulation in burns: an evidence-based systematic reviewArticle information Open Access Creative Commons Attribution, Non Commercial 4.0 LicenseAbstractIntroduction:Dynamic monitoring of coagulation is important to predict both haemorrhagic and thrombotic complications and to guide blood product administration. Reducing blood loss and tailoring blood product administration may improve patient outcome and reduce mortality associated with transfusion. The current literature lacks a systematic, critical appraisal of current best evidence on which clinical decisions may be based.Objectives:Establishing the role of different coagulation markers in burn patients, diagnosing coagulopathy, tailoring blood product administration and indicating prognosis.Methods:Literature during 2004–2017 from the Cochrane Library, PubMed, Scopus, Medline and Embase was reviewed. Eligibility criteria included randomised controlled trials, systematic reviews, multi-/single-centre study and meta-analyses. Keywords searched were ‘burns’, ‘blood coagulation disorders’, ‘rotem’, ‘blood coagulation’ and ‘thromboelastography’. The PRISMA flow system was used for stratification and the CASP framework for appraisal of the studies retrieved.Results:In total, 13 articles were included after inclusion/exclusion criteria had been applied to the initial 79 studies retrieved. Hypercoagulation increases in proportion to the severity of thermal injury. Whole blood testing, using thrombelastography (TEG) and rotation thromboelastometry (ROTEM), was superior to standard plasma based tests, including prothrombin time (PT) and activated partial thromboplastin time (APTT) at detecting burn-related coagulopathies.Conclusions:Routine laboratory markers such as PT/APTT are poor indicators of coagulation status in burns patients. Viscoelastic tests, such as TEG and ROTEM, are efficient, fast and have a potential use in the management of burn patients; however, strong evidence is lacking. This review highlights the need for more randomised controlled trials, to guide future practice

    Surgical training rotation design: effects of hospital type, rotation theme and duration

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    Background Entrants into UK surgical specialty training undertake a 2‐year programme of core surgical training, rotating through specialties for varying lengths of time, at different hospitals, to gain breadth of experience. This study aimed to assess whether these variables influenced core surgical trainee (CST) work productivity. Methods Intercollegiate Surgical Curriculum Programme portfolios of consecutive CSTs between 2016 and 2019 were examined. Primary outcome measures were workplace‐based assessment (WBA) completion, operative experience and academic outputs (presentations to learned societies, publications and audits). Results A total of 344 rotations by 111 CSTs were included. Incremental increases in attainment were observed related to the duration of core surgical training rotation. The median number of consultant‐validated WBAs completed during core surgical training were 48 (range 0–189), 54 (10–120) and 75 (6–94) during rotations consisting of 4‐, 6‐ and 12‐month posts respectively (P  < 0·001). Corresponding median operative caseloads (as primary surgeon) were 84 (range 3–357), 110 (44–394) and 134 (56–366) (P  < 0·001) and presentations to learned societies 0 (0–12), 0 (0–14) and 1 (0–5) (P = 0·012) respectively. Hospital type and specialty training theme were unrelated to workplace productivity. Multivariable analysis identified length of hospital rotation as the only factor independently associated with total WBA count (P = 0·001), completion of audit (P = 0·015) and delivery of presentation (P = 0·001) targets. Conclusion Longer rotations with a single educational supervisor, in one training centre, are associated with better workplace productivity. Consideration should be given to this when reconfiguring training programmes within the arena of workforce planning

    Using ordinal logistic regression to evaluate the performance of laser-Doppler predictions of burn-healing time

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    Background Laser-Doppler imaging (LDI) of cutaneous blood flow is beginning to be used by burn surgeons to predict the healing time of burn wounds; predicted healing time is used to determine wound treatment as either dressings or surgery. In this paper, we do a statistical analysis of the performance of the technique. Methods We used data from a study carried out by five burn centers: LDI was done once between days 2 to 5 post burn, and healing was assessed at both 14 days and 21 days post burn. Random-effects ordinal logistic regression and other models such as the continuation ratio model were used to model healing-time as a function of the LDI data, and of demographic and wound history variables. Statistical methods were also used to study the false-color palette, which enables the laser-Doppler imager to be used by clinicians as a decision-support tool. Results Overall performance is that diagnoses are over 90% correct. Related questions addressed were what was the best blood flow summary statistic and whether, given the blood flow measurements, demographic and observational variables had any additional predictive power (age, sex, race, % total body surface area burned (%TBSA), site and cause of burn, day of LDI scan, burn center). It was found that mean laser-Doppler flux over a wound area was the best statistic, and that, given the same mean flux, women recover slightly more slowly than men. Further, the likely degradation in predictive performance on moving to a patient group with larger %TBSA than those in the data sample was studied, and shown to be small. Conclusion Modeling healing time is a complex statistical problem, with random effects due to multiple burn areas per individual, and censoring caused by patients missing hospital visits and undergoing surgery. This analysis applies state-of-the art statistical methods such as the bootstrap and permutation tests to a medical problem of topical interest. New medical findings are that age and %TBSA are not important predictors of healing time when the LDI results are known, whereas gender does influence recovery time, even when blood flow is controlled for. The conclusion regarding the palette is that an optimum three-color palette can be chosen 'automatically', but the optimum choice of a 5-color palette cannot be made solely by optimizing the percentage of correct diagnoses

    Paediatric injuries due to home treadmill use: an emerging problem

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