Comparison of the effects of triglyceride variability and exposure estimate on clinical prognosis in diabetic patients.

BACKGROUND: Hypertriglyceridemia is an important feature of dyslipidemia in type 1 and type 2 diabetic patients and associated with the development of atherosclerotic cardiovascular disease. Recently, variability of lipid profile has been suggested as a residual risk factor for cardiovascular disease. This study compared the clinical impact of serum triglyceride variability, and their cumulative exposure estimates on cardiovascular prognosis in diabetic patients. METHODS: A total of 25,933 diabetic patients who had serum triglyceride levels measured at least 3 times and did not have underlying malignancy, myocardial infarction (MI), and stroke during the initial 3 years (modeling phase) were selected from three tertiary hospitals. They were divided into a high/low group depending on their coefficient of variation (CV) and cumulative exposure estimate (CEE). Incidence of major adverse event (MAE), a composite of all-cause death, MI, and stroke during the following 5 years were compared between groups by multivariable analysis after propensity score matching. RESULTS: Although there was a slight difference, both the high CV group and the high CEE group had a higher cardiovascular risk profile including male-dominance, smoking, alcohol, dyslipidemia, and chronic kidney disease compared to the low groups. After the propensity score matching, the high CV group showed higher MAE incidence compared to the low CV group (9.1% vs 7.7%, p = 0.01). In contrast, there was no significant difference of MAE incidence between the high CEE group and the low CEE group (8.6% vs 9.1%, p = 0.44). After the multivariable analysis with further adjustment for potential residual confounding factors, the high CV was suggested as an independent risk predictor for MAE (HR 1.19 [95% CI 1.03-1.37]). CONCLUSION: Visit-to-visit variability of triglyceride rather than their cumulative exposure is more strongly related to the incidence of MAE in diabetic patients.

A pre-trained BERT for Korean medical natural language processing.

With advances in deep learning and natural language processing (NLP), the analysis of medical texts is becoming increasingly important. Nonetheless, despite the importance of processing medical texts, no research on Korean medical-specific language models has been conducted. The Korean medical text is highly difficult to analyze because of the agglutinative characteristics of the language, as well as the complex terminologies in the medical domain. To solve this problem, we collected a Korean medical corpus and used it to train the language models. In this paper, we present a Korean medical language model based on deep learning NLP. The model was trained using the pre-training framework of BERT for the medical context based on a state-of-the-art Korean language model. The pre-trained model showed increased accuracies of 0.147 and 0.148 for the masked language model with next sentence prediction. In the intrinsic evaluation, the next sentence prediction accuracy improved by 0.258, which is a remarkable enhancement. In addition, the extrinsic evaluation of Korean medical semantic textual similarity data showed a 0.046 increase in the Pearson correlation, and the evaluation for the Korean medical named entity recognition showed a 0.053 increase in the F1-score.

Cyanoacrylate injection treatment for postoperative leakage of Boerhaave's syndrome: A case report.

RATIONALE: Surgical treatment remains the most effective option for treating Boerhaave's syndrome. However, in cases of postoperative anastomotic leakage of Boerhaave's syndrome, endoscopic interventions such as over-the-scope clip, stenting, or cyanoacrylate injection have emerged over reoperation. PATIENT CONCERNS: We report the case of a 50-year-old male patient who presented with vomiting and abdominal pain after alcohol consumption. Laparoscopic surgery was performed for primary closure of a laceration at the lower esophagus, and for the closure of a Boerhaave's syndrome, which was detected by abdominal computed tomography. However, postoperative anastomotic leakage was confirmed through esophagography after the operation. In our case, endoscopic treatment with an over-the-scope clip and stenting were not effective for the repair of the anastomotic leakage, but cyanoacrylate injection successfully healed the anastomotic leakage. DIAGNOSES: Boerhaave's syndrome was initially detected by abdominal computed tomography, but postoperative anastomotic leakage after the operation was confirmed with esophagography. INTERVENTIONS: A total of 2.0 cc of N-butyl-2-cyanoacrylate and lipiodol mixture (at 1:1) was injected into the leakage tract through the perforation entrance. OUTCOMES: Complete healing of the anastomotic leakage was confirmed with a follow-up esophagoscopy. LESSONS: N-butyl-2-cyanocrylate injection treatment can be used as a rescue option for postoperative leakage when over-the-scope clips and stenting fail for this indication.