Internal medicine
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A 57-year-old man was diagnosed with peritoneal dialysis (PD)-associated peritonitis 2 months after surgery for tunnel infection (TI) caused by Mycobacteroides abscessus (M. abscessus). The patient was treated with multiple antibiotics, and the cell count in the PD effluent decreased. However, the patient experienced abdominal pain and developed hiccups. ⋯ Percutaneous drainage was performed to treat IAA, and the catheter was removed. This case suggests that PD-associated peritonitis caused by M. abscessus can lead to IAA formation. If symptoms persist even after a favorable course of peritonitis, IAA should be suspected.
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A 65-year-old man treated with atezolizumab plus bevacizumab for hepatocellular carcinoma was admitted to our hospital with a fever, difficulty in moving, and aphasia. The patient became comatose immediately after admission. ⋯ He was discharged with slight paralysis of his legs and was able to resume chemotherapy. An early diagnosis and treatment are required to improve the prognosis of encephalitis.
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Background Hypouricemia, defined as a serum uric acid (SUA) level ≤2 mg/dL, could be a risk factor for death in hospitalized patients. However, how explanatory variables can explain hypouricemia as an objective variable in a logistic regression analysis remains unknown. Purpose To predict the risk factors for hypouricemia in hospitalized patients using a robust Bayesian logistic (RBL) model. ⋯ Results Of the 618 patients, 64 (10.4%) had hypouricemia. Based on the model according to the lowest WAIC, independent risk factors for hypouricemia were febuxostat [odds ratio (OR) 5.46, 95% confidence interval (CI) 2.32-13.4], amino acids in parenteral nutrition (OR 5.19, 95% CI 1.62-15.1), TMP-SMX (OR 4.20, 95% CI 1.66-10.9), emaciation (OR 3.48, 95% CI 1.75-7.21), and serum sodium level (OR 0.90, 95% CI 0.84-0.96). Conclusion The RBL model predicted amino acids in parenteral nutrition, TMP-SMX, emaciation, and low serum sodium levels for hypouricemia, in addition to the authentic risk factor febuxostat.
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A 73-year-old man presented with left hypochondral pain. Dynamic computed tomography (CT) revealed abnormal vessels surrounding the pancreas, leading to a suspected diagnosis of pancreatic arteriovenous malformation (PAVM). ⋯ At >1 year after surgery, no recurrence of PAVM was observed. Surgical resection should be considered in patients with symptomatic PAVM.
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Objectives The present study evaluated the usefulness of machine learning (ML) models with the coronary artery calcification score (CACS) and clinical parameters for predicting major adverse cardiac events (MACEs). Methods The Nationwide Gender-specific Atherosclerosis Determinants Estimation and Ischemic Cardiovascular Disease Prospective Cohort study (NADESICO) of 1,187 patients with suspected coronary artery disease (CAD) 50-74 years old was used to build a MACE prediction model. The ML random forest (RF) model was compared with a logistic regression analysis. ⋯ Conclusion The ML-RF model improved the long-term prediction of MACEs compared to the logistic regression model. However, the selected variables in the internal dataset were not highly predictive of the external dataset. Further investigations are required to validate the usefulness of this model.