Israel Medical Association Journal

Background: Acute mesenteric ischemia (AMI) is a medical condition with high levels of morbidity and mortality. However, most patients suspected of AMI will eventually have a different diagnosis. Nevertheless, these patients have a high risk for co-morbidities.

Objectives: To analyze patients with suspected AMI with an alternative final diagnosis, and to evaluate a machine learning algorithm for prognosis prediction in this population.

Methods: In a retrospective search, we retrieved patient charts of those who underwent computed tomography angiography (CTA) for suspected AMI between January 2012 and December 2015. Non-AMI patients were defined as patients with negative CTA and a final clinical diagnosis other than AMI. Correlation of past medical history, laboratory values, and mortality rates were evaluated. We evaluated gradient boosting (XGBoost) model for mortality prediction.

Results: The non-AMI group comprised 325 patients. The two most common groups of diseases included gastrointestinal (33%) and biliary-pancreatic diseases (27%). Mortality rate was 24.6% for the entire cohort. Medical history of chronic kidney disease (CKD) had higher risk for mortality (odds ratio 2.2). Laboratory studies revealed that lactate dehydrogenase (LDH) had the highest diagnostic ability for predicting mortality in the entire cohort (AUC 0.70). The gradient boosting model showed an area under the curve of 0.82 for predicting mortality.

Conclusions: Patients with suspected AMI with an alternative final diagnosis showed a 25% mortality rate. A past medical history of CKD and elevated LDH were associated with increased mortality. Non-linear machine learning algorithms can augment single variable inputs for predicting mortality.

Background: Acute appendicitis is one of the most common conditions requiring surgical intervention. Open appendectomy has been a safe and effective operation for acute appendicitis for more than a century. Recently, several authors proposed that the new technique of laparoscopic appendectomy should be the preferred treatment for acute appendicitis. However, unlike laparoscopic cholecystectomy, LA[1] has not yet gained popularity.

Objectives: To compare open with laparoscopic appendectomy for length of operation, complications, postoperative pain control, length of hospitalization, and hospital costs.

Methods: A sample of 194 patients who underwent OA[2] and LA during 1995 was randomly selected for the study. Patients' demographic data, preoperative laboratory and physical values, histopathologic diagnosis of removed appendix, mean operating time, length of hospitalization, and postoperative pain control and complications were reviewed.

Results: Acute appendicitis was confirmed in 66% of patients. The groups were similar demographically (gender and mean age). We could not find any statistical differences in intraoperative and postoperative complications and use of antibiotics. The operative time was longer in the OA group (62.4 vs. 57.3 minutes), but the difference was not statistically significant (P=0.075). The hospital stay was 2.5 days in the LA group and 2.7 days in the OA group. Higher operative costs were observed in the LA group.

Conclusion: Laparoscopic appendectomy is comparable to open appendectomy with regard to complications, length of operation, hospital stay, but it is more costly. Laparoscopic appendectomy does not offer any significant benefit over the open approach.