Epithelioid Hemangioendotheliomais a rare, low-grade malignant vascular tumour. It’scalled hepatic epithelioid hemangioendothelioma(HEHE), when it occurs in liver. It can be metastatic and postoperative recurrence. There are few cases have been reported in the literature at home and abroad because of its rarity. The treatment of HEHE is also controversial. With the continuous improvement of surgical techniques of liver transplantation, it is increasingly applied to treat liver failure patients caused by HEHE. Our paper reviews the literature on disease characteristics of HEHE, and liver transplantation for HEHE indications, immunotherapy and prognosis, to illustrate the status and progress of liver transplantation for HEHE.

Objective:To analyze the related factors affecting the inter-arm systolic blood pressure difference (IASBPD) in a physical examination population.Methods:A total of 3 600 adults who underwent physical examination and completed the arteriosclerosis test in the first affiliated hospital of Anhui medical university from January 2019 to June 2021 were selected as the participants by systematic sampling method. Data on age, sex, and history of smoking, heavy drinking, hypertension, type 2 diabetes, and coronary heart disease were recorded. The height, weight, waist circumference, hip circumference, total muscle, total fat and body fat ratio were measured, and body mass index was calculated. The blood pressure of the limbs, ankle brachial index (ABI) were measured synchronously with the arteriosclerosis tester of the Chinese Academy of Sciences, and the IASBPD were calculated. According to the IASBPD value, the participants were divided into two groups: IASBPD<10 mmHg (1 mmHg=0.133 kPa) group and IASBPD≥10 mmHg group, The differences between the two groups were compared, and the related influencing factors of IASBPD were analyzed by multivariate logistic regression.Results:Weight, body mass index, waist circumference, hip circumference, systolic blood pressure, diastolic blood pressure, total muscle, total fat, body fat rate, history of hypertension, proportion of type 2 diabetes mellitus, and proportion of history of coronary heart disease in the IASBPD≥10 mmHg group was higher than that of IASBPD<10 mmHg group [(69.1±11.2) vs (65.3±10.8) kg, (25.6±3.4) vs (24.4±3.3) kg/m 2, (91.3±11.3) vs (87.8±10.6) cm, (98.5±10.4) vs (96.5±9.8) cm, (139.7±20.0) vs (129.7±17.6) mmHg, (80.3±11.6) vs (76.7±10.1) mmHg, (47.5±9.1) vs (45.3±8.8) kg, (19.4±7.0) vs (17.6±6.4) kg, (27.9%±8.5%) vs (26.8%±8.1%), 41.1% vs 29.3%, 16.6% vs 11.7%, 13.1% vs 7.3%] (all P<0.05); ABI was lower than that in IASBPD<10 mmHg group [(1.15±0.11) vs (1.20±0.09)] ( P<0.001). There were no significant differences in height, smoking history and heavy drinking history between the two groups (all P>0.05). Multivariate logistic regression analysis showed that age, systolic blood pressure, body weight and ABI were independent influencing factors of IASBPD≥10 mmHg. Age, systolic blood pressure and body weight were positively correlated with IASBPD≥10 mmHg, while ABI was negatively correlated with IASBPD≥10 mmHg. Conclusion:Increases in age, systolic blood pressure, and body weight and a decrease in ABI are important influencing factors leading to the elevation of IASBPD.

Objective:To investigate the predictive value of plasma atherosclerosis index (AIP) on metabolic associated fatty liver disease (MAFLD) in physical examination population.Methods:It was a cross-sectional study. Total of 97 076 people who completed physical examination in the Health Management Center of the First Affiliated Hospital of Anhui Medical University from January to December 2021 and met the integrity of the study were selected as study subjects. Of the subjects, 31 176 people who met the diagnostic criteria of MAFLD were set as the MAFLD group, and the other 65 900 people were set as the non-MAFLD group. Laboratory indexes, height, weight, blood pressure, liver ultrasound and other indicators in the two groups were collected, and the AIP was calculated. The t-test was used for measurement data and chi-square test was used for counting data to compare the differences between the two groups. Univariate and multivariate logistic regression were used to analyze the influencing factors of MAFLD. The two groups were grouped further according to gender and age, and the difference of AIP prediction efficiency in different groups was evaluated by receiver operating characteristic (ROC) curve. Results:The average age (47.3 years, Z=-31.734), male proportion (76.9%, χ2=7 837.54) and the average value of AIP (0.23, Z=-155.089) in MAFLD group were all higher than those in non-MAFLD group (all P<0.001). After stratified by age, gender, body mass index (BMI), hypertensive or not, hemoglobin A1c (HbA 1c), triglyceride (TG), fasting blood glucose (FBG), the difference of AIP between the two groups was still statistically significant (all P<0.001). Multifactorial regression analysis showed that alanine aminotransferase (ALT) ( OR=1.024), aspartate aminotransferase (AST) ( OR=0.974), serum creatinine (sCr) ( OR=0.975), serum uric acid ( OR=1.004), HbA 1c ( OR=1.231), hemoglobin (HB) ( OR=1.011), platelet(PLT) ( OR=1.002), FBG ( OR=1.131), BMI ( OR=1.419), AIP ( OR=11.318), systolic blood pressure ( OR=1.002), and diastolic blood pressure ( OR=1.012) were independent risk factors for MAFLD (all P<0.001). In the overall population, AIP had an area under the ROC curve (AUC) of 0.808, a cut-off value of 2.045, a sensitivity of 74.5% and a specificity of 72.4%; in the gender subgroup, the AUC was greater in women than in men (0.815 vs 0.764), and the cut-off values, sensitivities and specificities in the two groups were -0.044 vs 0.091, 75.6% vs 72.2%, 73.3% vs 67.6%, respectively; in the age sub-group, the largest AUC (0.848), cut-off value (0.034), sensitivity (79.1%) and specificity (75.3%) were found in the 18-44 years group; the differences were statistically significantin the ROC curve analysis of each group ( P<0.001). Conclusion:AIP is an independent risk factor for MAFLD, which has good predictive value for the occurrence of the disease, and has better predictive effect in women and young groups (18-44 years old).