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1.
ANZ J Surg ; 89(5): E174-E178, 2019 05.
Artigo em Inglês | MEDLINE | ID: mdl-30896062

RESUMO

BACKGROUND: Adenoma detection rate (ADR) has shown to be an independent predictor, to reduce the rate of interval colorectal cancer. Endocuff Vision is a relatively new device that has shown promise to improve the ADR. The primary objective was to conduct a randomized controlled trial to compare Endocuff Vision-assisted colonoscopy (EVAC) with standard colonoscopy (SC). The primary outcome of the study is ADR and the secondary outcomes are caecal intubation rate, terminal ileum intubation rate, scope withdrawal time, quality of bowel preparation and adverse events. METHODS: A randomized controlled trial was performed to compare EVAC versus SC. All patients who presented to the endoscopy suite at the Queen Elizabeth Hospital were assessed for eligibility. Patients were recruited from 15 June 2016 to 20 January 2017. A total of 360 patients were included; 40 were excluded. The patients were randomized using block randomization; 138 patients were recruited to SC and 182 to EVAC. RESULTS: A total of 231 polyps were retrieved during the study period. Polyp detection rate (PDR) was high in both groups: 53% in the EVAC group versus 41.1% in SC. This was statistically significant with a P-value of 0.035. ADR was similarly high in both groups: 36.81% in EVAC group versus 28.99% in SC group. ADR did not reach statistical significance. CONCLUSIONS: EVAC does improve the PDR. Though the ADR did not reach statistical significance, there is a trend towards improved adenoma detection and there is statistical significance in the overall PDR.


Assuntos
Neoplasias do Colo/diagnóstico , Colonoscópios/tendências , Colonoscopia/instrumentação , Neoplasias Colorretais/diagnóstico , Detecção Precoce de Câncer/instrumentação , Desenho de Equipamento , Centros Médicos Acadêmicos , Adenoma/diagnóstico , Idoso , Austrália , Pólipos do Colo/diagnóstico , Colonoscópios/normas , Intervalos de Confiança , Detecção Precoce de Câncer/métodos , Feminino , Humanos , Aumento da Imagem/instrumentação , Masculino , Pessoa de Meia-Idade , Razão de Chances , Segurança do Paciente , Melhoria de Qualidade
2.
ANZ J Surg ; 80(6): 419-24, 2010 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-20618194

RESUMO

The traditional on-call system for the management of acute general surgical admissions is inefficient and outdated. A new model, Acute Surgical Unit (ASU), was developed at Nepean Hospital in 2006. The ASU is a consultant-driven, independent unit that manages all acute general surgical admissions. The team has the same make up 7 days a week and functions the same every day, including weekends and public holidays. The consultant does a 24-h period of on-call, from 7 pm to 7 pm. They are on remote call from 7 pm to 7 am and are in the hospital from 7 am to 7 pm with their sole responsibility being to the ASU. The ASU has a day team with two registrars, two residents and a nurse practitioner. All patients are admitted and stay in the ASU until discharge or transfer to other units. Handover of the patients at the end of each day is facilitated by a comprehensive ASU database. The implementation of the ASU at Nepean Hospital has improved the timing of assessment by the surgical unit. There has been significant improvement in the timing of operative management, with an increased number and proportion of cases being done during daylight hours, with an associated reduction in the proportion of cases performed afterhours. There is greater trainee supervision with regard to patient assessment, management and operative procedures. There has been an improvement in the consultants' work conditions. The ASU provides an excellent training opportunity for surgical trainees, residents and interns in the assessment and management of acute surgical conditions.


Assuntos
Cirurgia Geral/organização & administração , Unidades Hospitalares/organização & administração , Equipe de Assistência ao Paciente/organização & administração , Doença Aguda , Bases de Dados Factuais , Cirurgia Geral/educação , Humanos , Procedimentos Cirúrgicos Operatórios/estatística & dados numéricos , Carga de Trabalho
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