Laparoscopic Appendectomy in the Setting of Clinical Prediction Rules.

PURPOSE: Acute appendicitis (AA) is the most frequent surgical entity in the emergency department, but its correct diagnosis remains challenging. To improve diagnosis, clinical prediction rules (CPRs) have been created to establish objective scores for the probability of suffering AA. In this study, we establish scores indicating whether laparoscopy would be superior to clinical observation or repeat diagnostic test. METHODS: A retrospective observational study was conducted with 433 patients submitted to surgery for suspected AA using a laparoscopic approach. The Alvarado, Raja Isteri Pengiran Anak Saleha Appendicitis, appendicitis inflammatory response, and adult appendicitis score scales were applied in each case to establish a high, medium, or low probability of suffering AA. RESULTS: Of the 433 patients analyzed, 381 (88.0%) had AA. Twelve (2.8%) were converted to open surgery, and complications were observed in 54 (12.5%) cases. The CPRs studied showed statistically significant differences between AA and negative appendectomies. However, in patients with intermediate probability scores, the diagnostic accuracy of the CPRs evaluated was not adequate. CONCLUSIONS: Laparoscopic surgery can serve as a diagnostic tool for patients with intermediate AA probability scores because of its low associated morbidity and mortality and because it affords a direct diagnosis of the problem, allowing determination of the appropriate treatment.

How to reduce the laparoscopic colorectal learning curve.

BACKGROUND: The laparoscopic approach for colorectal pathologies is becoming more widely used, and surgeons have had to learn how to perform this new technique. The purpose of this work is to study the indicators of the learning curve for laparoscopic colectomy in a community hospital and to find when the group begins to improve. METHODOLOGY: From January 1 2005 to December 31 2012, 313 consecutive laparoscopic colorectal surgeries were performed (105 rectal and 208 colonic) by at least 60% of the same surgical team (6 members) in each operation. We evaluate the learning curve by moving averages and cumulative sums (CUSUM) for different variables related to the surgery outcomes. RESULTS: Moving average curves for postoperative stay, fasting, and second step analgesia show a stabilizing trend toward improvement as we get more experience. However, intensive care unit stay, number of lymph nodes achieved, and operating time did not show a clear decreasing tendency. CUSUM curves of conversion, specimens<12 lymph nodes, and complications all show a clear turning point marked on all the charts around the procedure 60, accumulating a positive trend toward improvement. The CUSUM curve of the "learning variable" shows this improvement point at procedure 70. CONCLUSIONS: The laparoscopic colectomy learning curve accelerates with a collective team involvement in each procedure. The CUSUM and moving average curves are useful for initial and ongoing monitoring of new surgical procedures. The markers of the learning curve evidenced in our study are the conversion rate, postoperative surgical morbidity, and the number of patients with a lymph node count<12. WHAT IS NEW IN THIS PAPER?: The significance of this study is the evaluation of the learning curve, in laparoscopic colorectal surgery, of a surgical team in a community hospital, using moving average and CUSUM curves. This study demonstrated that the number of patients needed to achieve skilful practice decreased when there is collective team involvement in each procedure.