Is it possible to predict the severity of acute appendicitis? Reliability of predictive models based on easily available blood variables.

INTRODUCTION: Recent evidence confirms that the treatment of acute appendicitis is not necessarily surgical, and selected patients with uncomplicated appendicitis can benefit from a non-operative management. Unfortunately, no cost-effective test has been proven to be able to effectively predict the degree of appendicular inflammation as yet, therefore, patient selection is too often left to the personal choice of the emergency surgeon. Our paper aims to clarify if basic and readily available blood tests can give reliable prognostic information to build up predictive models to help the decision-making process. METHODS: Clinical notes of 2275 patients who underwent an appendicectomy with a presumptive diagnosis of acute appendicitis were reviewed, taking into consideration basic preoperative blood tests and histology reports on the surgical specimens. Variables were compared with univariate and multivariate analysis, and predictive models were created. RESULTS: 18.2% of patients had a negative appendicectomy, 9.6% had mucosal only inflammation, 53% had transmural inflammation and 19.2% had gangrenous appendicitis. A strong correlation was found between degree of inflammation and lymphocytes count and CRP/Albumin ratio, both at univariate and multivariate analysis. A predictive model to identify cases of gangrenous appendicitis was developed. CONCLUSION: Low lymphocyte count and high CRP/Albumin ratio combined into a predictive model may have a role in the selection of patients who deserve appendicectomy instead of non-operative management of acute appendicitis.

Implementing Simulation Based Learning (SBL) to Reduce the Gap in Surgical Training, A Theoretical Evaluation Approach

Background The current surgical training is severely affected by COVID-19 pandemic with redeployment and reduced number of elective procedure across NHS hospitals, this has affected both core and higher surgical trainees, rendering the traditional apprenticeship model obsolete. It became evident that the future of Surgical training and innovation will require a combination of simulation and operative exposure to overcome the obstacle of reduced exposure in surgical education and operative training. Discussion In our theoretical analysis, we will discuss the efficacy, safety and impact of relying on SBL to fill the gaps in surgical training. Clinical exposure alone will not be sufficient to train procedure based speciality trainees to their highest proficiency. SBL is one design that is supported by learning theories such as Transformational Learning and Experiential Learning Theory. In a high fidelity simulation, such as laparoscopic simulation courses, all concepts of facilitated learning are fulfilled which strongly supports our hypothesis. On balance, given the complexity of skills learnt, it remains difficult to measure the efficacy of transferring the learnt capabilities into practice and standardise this among learners. SBL also leaves non-technical skills un-assessed in depth. Conclusion The disruption of training due to COVID-19 affected our procedure based learning, this leaves us with a dilemma to catch-up with these unmet training needs. SBL could be one of the adjuncts that fill in the gaps on the short and medium term. Implementing SBL in surgical training curriculum, should be evaluated for efficacy and cost effectiveness.