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1.
Skin Res Technol ; 27(6): 1007-1016, 2021 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-33974724

RESUMO

BACKGROUND: There is no non-invasive objective assessment tool to measure keloid scar characteristics over time. This study aimed to ascertain the ability of the Antera 3D® camera to detect differences in keloid features pre- and post-steroid injection. In order to identify whether those variation could be considered as treatment response predicting factors. METHODS: Enrolled patients received three intra-lesional steroid injections at four-weekly intervals. Images were taken with the Antera 3D camera 12 and 24 weeks after treatment. Keloids' colour, volume, and area as well as haemoglobin and melanin average levels and variation have been analysed pre- and post-steroid injection. t Tests and relative risk have been used to analyse the significance and association strength of our finding. RESULTS: Forty patients have been enrolled in the study. Significant changes as been recorded in keloids' volume and colour after steroid injection (P < 0.05). 53% have recorded a Hb reduction showing no recurrence of pathology, patient who had increase in Hb showed an early recurrence. Melanin variation was significant after steroid injection (P < 0.05) but no correlation has been found with treatment response. CONCLUSIONS: The Antera 3D camera is able to detect differences in the investigated keloid's features helping in two ways: by providing an objective, longitudinal method to monitor and document changes in scar morphology, and through monitoring haemoglobin change, which strongly correlates to both response to treatment and likelihood of recurrence. Allowing clinicians to identify which patients will respond early, in order to change treatment if necessary, limiting morbidity and costs.


Assuntos
Queloide , Eritema/induzido quimicamente , Humanos , Queloide/tratamento farmacológico , Queloide/patologia , Melaninas
4.
Surgeon ; 16(1): 27-35, 2018 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-27161098

RESUMO

INTRODUCTION: Medico-legal claims are a drain on NHS resources and promote defencive practice. The litigious burden of surgery in England has not been previously described. This paper describes trends over ten years of claims made against the NHS across 11 surgical specialities. MATERIALS AND METHODS: Data were requested for all claims received by the NHS Litigation Authority (NHSLA) from 2004 to 2014. Surgical specialities included cardiothoracic, general, neurosurgery, obstetric, oral and maxillofacial (OMFS), orthopaedic, otorhinolaryngology, paediatric, plastic, urology and vascular surgery. A literature review of peer-reviewed publications was performed with search terms 'NHSLA' and 'Surgery'. RESULTS: The NHS paid out approximately £1.5 billion across 11 surgical specialities from 2004 to 2014. Orthopaedic, obstetric and general surgery received the largest number of claims per year, and paediatric surgery the least. The mean time from registration of claim with the NHSLA to settlement was 25.5 months (range 17.8 months-35 months). Neurosurgery was responsible for the highest average amount paid per claim, and OMFS the lowest. Failure/delay in treatment and/or diagnosis and failure to warn/adequately consent were the three leading types of claim. 806 never events were successfully claimed for during the ten-year period. DISCUSSION AND CONCLUSION: Sharing information and good practice should be a priority for surgical professionals. Lessons learnt from medico-legal claims are transferrable in strategic planning. This pan-speciality report has demonstrated considerable burden on the NHS and should promote improvement in practice on an individual level in addition to providing systems based recommendations to NHS and international organisations.


Assuntos
Especialidades Cirúrgicas/legislação & jurisprudência , Medicina Estatal/legislação & jurisprudência , Humanos , Jurisprudência , Especialidades Cirúrgicas/economia , Especialidades Cirúrgicas/estatística & dados numéricos , Medicina Estatal/economia , Medicina Estatal/estatística & dados numéricos , Reino Unido/epidemiologia
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