A case of polymicrobial endocarditis due to anaerobic organisms in an injection drug user

Endocarditis is a serious complication of injection drug use most commonly due to Staphylococcus aureus. We report a case of tricuspid valve polymicrobial bacterial endocarditis in an injection drug user from 3 oral anaerobes: Actinomyces odontolytica, Veilloenlla species, and Prevotella melaninogenica. The patient was believed to have acquired these organisms due to his habit of licking the needle in order to gauge the strength of the cocaine prior to injection. The patient was successfully treated with a 6-week course of penicillin G and metronidazole. This case demonstrates the importance of a detailed history in designing empiric therapy. The authors have no conflicts of interest to declare for this case study or this research. This case study was presented as a poster at the 27th Annual SGIM Meeting, May 12–15; 2004.     

Evaluation of an international faculty development program for developing countries in Asia: the Seoul Intensive Course for Medical Educators

Background

The issue of collaboration in medical education is becoming prominent. Some faculty development programs have suggested an approach for promoting collaboration on a global level. However, non-English-speaking developing countries in Asia, especially in Southeast Asia, do not take advantage of them due to their unique context, such as language and culture. To address these issues, Seoul National University College of Medicine initiated a 6-week international faculty development program called the “Seoul Intensive Course for Medical Educators” for 16 fellows from five Asian countries (Cambodia, Laos, Mongolia, Myanmar, and Vietnam). The aim of this study is to report the evaluation results of the outcome of the program and discuss better ways of collaborating with developing countries.

Methods

Three levels of collaboration—intraorganizational, intranational, and international—were central initiatives of the program. Prior to setting up the program details, we first established four design principles, following which the contents, materials, and facilitators were determined to maintain consistency with the design principles. The evaluation of the program was done with Kirkpatrick’s four-level model. Most of the evaluation data for level 1 were collected by two questionnaires, the post-module survey and the post-program survey. Portfolios and progress reports were mainly used to collect outcome data for levels 2 and 3, respectively.

Results

The reaction was generally positive throughout the program and there was a significant correlation between satisfaction and relevance to one’s job or needs. Despite the fellows’ propensity for overestimating themselves, both the evaluators and fellows reported that there was significant improvement in learning. Opinions on the impact or urgency of the topics were slightly different from country to country; however, the answers regarding feasibility were fairly similar. Moreover, we could observe from the post-program progress reports that the transfer of learning was actively in progress, mainly for topics that were highly feasible.

Conclusions

These results show that the program was successful in terms of its effectiveness. Consistent and timely support is essential for the sustainable development of the medical education systems in these countries. Further understanding of the underlying factors on transfer (level 3) could improve the effectiveness of faculty development programs for developing countries.

     

Differences in the risk factors of reflux esophagitis according to age in Korea

The prevalence of gastroesophageal reflux disease in Korea has been believed to be low, but the incidence of gastroesophageal reflux disease in Korea is expected to increase because of the longer life expectancy and more ingestion of westernized food. The aim of this study was to report differences in the risk factors of reflux esophagitis (RE) according to age in Korea. We prospectively recruited the subjects who had RE among those who visited a health promotion center for upper gastrointestinal cancer surveillance at Hallym Medical Center (five institutions) between January 2008 and February 2009. The enrolled study participants comprised 742 subjects with RE and 1484 healthy controls. The independent risk factors of RE in young and adult group were male sex, smoking, coffee, body mass index ≥ 25, hiatal hernia, and Helicobacter pylori negativity. The risk factors of RE in elderly group were smoking, coffee, and hiatal hernia. The risk factors for RE according to age group were found to differ. In elderly group, Helicobacter pylori infection was not a significant protective factor contrary to young and adult groups.     

Risk prediction platform for pancreatic fistula after pancreatoduodenectomy using artificial intelligence

BACKGROUND Despite advancements in operative technique and improvements in postoperative managements,postoperative pancreatic fistula(POPF) is a life-threatening complication following pancreatoduodenectomy(PD).There are some reports to predict POPF preoperatively or intraoperatively,but the accuracy of those is questionable.Artificial intelligence(AI) technology is being actively used in the medical field,but few studies have reported applying it to outcomes after PD.AIM To develop a risk prediction platform for POPF using an AI model.METHODS Medical records were reviewed from 1769 patients at Samsung Medical Center who underwent PD from 2007 to 2016.A total of 38 variables were inserted into AI-driven algorithms.The algorithms tested to make the risk prediction platform were random forest(RF) and a neural network(NN) with or without recursive feature elimination(RFE).The median imputation method was used for missing values.The area under the curve(AUC) was calculated to examine the discriminative power of algorithm for POPF prediction.RESULTS The number of POPFs was 221(12.5%) according to the International Study Group of Pancreatic Fistula definition 2016.After median imputation,AUCs using 38 variables were 0.68 ± 0.02 with RF and 0.71 ± 0.02 with NN.The maximal AUC using NN with RFE was 0.74.Sixteen risk factors for POPF were identified by AI algorithm:Pancreatic duct diameter,body mass index,preoperative serum albumin,lipase level,amount of intraoperative fluid infusion,age,platelet count,extrapancreatic location of tumor,combined venous resection,co-existing pancreatitis,neoadjuvant radiotherapy,American Society of Anesthesiologists' score,sex,soft texture of the pancreas,underlying heart disease,and preoperative endoscopic biliary decompression.We developed a web-based POPF prediction platform,and this application is freely available at http://popfrisk.smchbp.org.CONCLUSION This study is the first to predict POPF with multiple risk factors using AI.This platform is reliable(AUC 0.74),so it could be used to select patients who need especially intense therapy and to preoperatively establish an effective treatment strategy.     

Nonsurgical and nonprosthetic camouflage treatment of skeletal Class II open bite with bilaterally missing lower first molars

This report illustrates the successful nonsurgical and nonprosthetic camouflage treatment of a skeletal Class II open bite malocclusion combined with missing mandibular first molars bilaterally. In the mandible, the second and third molars were uprighted and protracted, substituting for the missing first molars. In the maxilla, anterior bodily retraction and full-arch intrusion were achieved following premolar and second molar extraction, which also induced autorotation of the mandible. The treatment outcome and prognosis were confirmed with three-dimensional superimposition techniques, along with long-term stability.