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- Brain hemorrhage in patients with advanced hepatocellular carcinoma treated with atezolizumab and bevacizumab: two case reports
- Bangju Kim, Hyun Joon Park, Sang Uk Lee, Kwang Il Seo, Jung Wook Lee, Sumin Jo, Jun Yeb Nam
- Kosin Med J. 2025;40(2):150-156. Published online June 30, 2025
- DOI: https://doi.org/10.7180/kmj.25.114
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- A combination of atezolizumab and bevacizumab is currently recommended for treating unresectable advanced-stage hepatocellular carcinoma (HCC), as it has demonstrated superior overall survival and progression-free survival compared to sorafenib. However, concerns have been raised regarding serious adverse events associated with bevacizumab, such as gastrointestinal perforation, fistula, hemorrhage, and arterial thromboembolism. In particular, patients with liver cirrhosis (LC) show an increased risk of variceal bleeding. However, brain hemorrhage associated with the use of bevacizumab in patients with HCC and LC is extremely rare. We encountered two cases of brain hemorrhage in patients with HCC and LC who underwent treatment with atezolizumab and bevacizumab. One patient had no history of hypertension, while the other patient had hypertension that was well-controlled with medication and an unruptured brain aneurysm located on the right side of the anterior communicating artery. Both patients experienced brain hemorrhage after two treatment cycles of atezolizumab with bevacizumab. One patient died due to brain hemorrhage, while the other patient recovered from subarachnoid hemorrhage with successful coil embolization. This case report suggests that if a patient has any high-risk factors associated with brain hemorrhage, physicians should thoroughly consider alternative treatment options for advanced HCC, as brain hemorrhage could be fatal.
- Polycystic liver disease: an overview of clinical manifestations, diagnosis, and treatment
- Joonho Jeong, Hyun Joon Park
- Kosin Med J. 2023;38(2):75-86. Published online June 28, 2023
- DOI: https://doi.org/10.7180/kmj.23.128
- 16,437 View
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- Polycystic liver disease (PLD) is a hereditary disease characterized by the presence of 20 or more liver cysts. It is classified into three types: isolated autosomal dominant PLD, PLD with autosomal dominant polycystic kidney disease, and PLD with autosomal recessive polycystic kidney disease. Genetic alterations, ciliary dysfunction of the biliary epithelial cells, and aberrant cell signaling pathways are the main factors contributing to the pathophysiology of PLD; however, other complicated mechanisms are also involved. The Gigot and Schnelldorfer classifications are widely used in clinical practice. Most patients with PLD are asymptomatic; however, a few patients with advanced-stage disease may develop symptoms and complications that impair their quality of life and require treatment. The known treatment options for PLD are somatostatin analogues, aspiration with sclerotherapy, fenestration, hepatic resection, and liver transplantation. Although liver transplantation remains the only curative treatment for PLD, medical therapies are gradually being developed with the increasing knowledge of the disease’s pathophysiology. This review focuses on the clinical manifestations and diagnosis of PLD, as well as treatment strategies, to support clinicians regarding the clinical management of the disease.
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- Predicting Safe Liver Resection Volume for Major Hepatectomy Using Artificial Intelligence
Chol Min Kang, Hyung June Ku, Hyung Hwan Moon, Seong-Eun Kim, Ji Hoon Jo, Young Il Choi, Dong Hoon Shin
Journal of Clinical Medicine.2024; 13(2): 381. CrossRef
- Predicting Safe Liver Resection Volume for Major Hepatectomy Using Artificial Intelligence
Obesity and Insulin Resistance According to Age in Newly Diagnosed Type 2 Diabetes Patients in Korea - Ju Won Lee, Nam Kyu Kim, Hyun Joon Park, Jun Yeob Lee, Seon Yoon Choi, Eun Mi Lee, So Young Ock, Su Kyoung Kwon, Young Sik Choi, Bu Kyung Kim
- Kosin Med J. 2016;31(2):157-166. Published online January 20, 2016
- DOI: https://doi.org/10.7180/kmj.2016.31.2.157
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Abstract Objectives With the rapid increase in the prevalence of diabetes, the age groups of diabetic patients are becoming diversified. This study will examine the degree of obesity, insulin resistance, and insulin secretion ability among patients first diagnosed with diabetes according to age and gender.
Methods The subjects of this study included 616 patients who were first diagnosed with diabetes during a routine physical examination. This sample was obtained from a total of 28,075 adults aged 19 years and older who received the examination among 33,829 participants in the Korea National Health & Nutrition Examination Survey (KNHANES) from 2007–2010. The subjects were categorized by age into young age (age: 19 – 39 years), middle age (age: 40 – 59 years), and old age (age: 60 years and older). The degree of obesity was categorized according to body mass index (BMI) into normal weight (BMI: 18.5 ∼ 22.9), overweight (BMI: 23 ∼ 24.9), and obesity (BMI: 25 or above). Insulin resistance was evaluated by homeostatic model assessment of insulin resistance (HOMA-IR).
Results It was found that 14.1% (n = 87) of a total of 616 subjects (324 men, 292 women) were in the young age group, 43.8% (n = 270) were in the middle age group, and 42.1% (n = 259) were in the old age group. In addition, 83.3% of men that were overweight or obesity were in the young age group, while 79.2% and 60.5% were in the middle age and old age groups, respectively. A total of 82.2% of women that were overweight or obesity were in the young age group, while 79.5% and 77% were in the middle age and old age groups, respectively. For men, the more obesity they were in all age groups, the higher their HOMA-IR. For women, the more obesity they were in the young age and middle age groups, the higher their HOMA-IR; however, women in the old age group showed the highest HOMA-IR when they were of normal weight.
Conclusion Among diabetic patients first diagnosed with the disease in Korea, the youth population had the highest obesity rate. Insulin resistance increases as an individual's weight increases among those patients who are first diagnosed with diabetes; the only exception noted is for elderly women.
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Citations
Citations to this article as recorded by- Remote health monitoring services in nursing homes
Jiwon Kim, Hyunsoo Kim, Sungil Im, Youngin Park, Hae-Young Lee, Sookyung Kwon, Youngsik Choi, Linda Sohn, Chulho Oak
Kosin Medical Journal.2023; 38(1): 21. CrossRef
- Remote health monitoring services in nursing homes
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