Background/Aims: Alcohol represents a leading burden of disease worldwide, including alcohol use disorder (AUD) and alcohol-related liver disease (ALD). We aim to assess the global burden of AUD, ALD, and alcohol-attributable primary liver cancer between 2000–2021. Methods: We registered the global and regional trends of AUD, ALD, and alcohol-related liver cancer using data from the Global Burden of Disease 2021 Study, the largest and most up-to-date global epidemiology database. We estimated the annual percent change (APC) and its 95% confidence interval (CI) to assess changes in age-standardized rates over time. Results: In 2021, there were 111.12 million cases of AUD, 3.02 million cases of ALD, and 132,030 cases of alcohol-attributable primary liver cancer. Between 2000 and 2021, there was a 14.66% increase in AUD, a 38.68% increase in ALD, and a 94.12% increase in alcohol-attributable primary liver cancer prevalence. While the age-standardized prevalence rate for liver cancer from alcohol increased (APC 0.59%; 95% confidence interval [CI] 0.52 to 0.67%) over these years, it decreased for ALD (APC –0.71%; 95% CI –0.75 to –0.67%) and AUD (APC –0.90%; 95% CI –0.94 to –0.86%). There was significant variation by region, socioeconomic development level, and sex. During the last years (2019–2021), the prevalence, incidence, and death of ALD increased to a greater extent in females. Conclusions Given the high burden of AUD, ALD, and alcohol-attributable primary liver cancer, urgent measures are needed to prevent them at both global and national levels.

Background/Aims: Alcohol represents a leading burden of disease worldwide, including alcohol use disorder (AUD) and alcohol-related liver disease (ALD). We aim to assess the global burden of AUD, ALD, and alcohol-attributable primary liver cancer between 2000–2021. Methods: We registered the global and regional trends of AUD, ALD, and alcohol-related liver cancer using data from the Global Burden of Disease 2021 Study, the largest and most up-to-date global epidemiology database. We estimated the annual percent change (APC) and its 95% confidence interval (CI) to assess changes in age-standardized rates over time. Results: In 2021, there were 111.12 million cases of AUD, 3.02 million cases of ALD, and 132,030 cases of alcohol-attributable primary liver cancer. Between 2000 and 2021, there was a 14.66% increase in AUD, a 38.68% increase in ALD, and a 94.12% increase in alcohol-attributable primary liver cancer prevalence. While the age-standardized prevalence rate for liver cancer from alcohol increased (APC 0.59%; 95% confidence interval [CI] 0.52 to 0.67%) over these years, it decreased for ALD (APC –0.71%; 95% CI –0.75 to –0.67%) and AUD (APC –0.90%; 95% CI –0.94 to –0.86%). There was significant variation by region, socioeconomic development level, and sex. During the last years (2019–2021), the prevalence, incidence, and death of ALD increased to a greater extent in females. Conclusions Given the high burden of AUD, ALD, and alcohol-attributable primary liver cancer, urgent measures are needed to prevent them at both global and national levels.

Background/Aims: Alcohol represents a leading burden of disease worldwide, including alcohol use disorder (AUD) and alcohol-related liver disease (ALD). We aim to assess the global burden of AUD, ALD, and alcohol-attributable primary liver cancer between 2000–2021. Methods: We registered the global and regional trends of AUD, ALD, and alcohol-related liver cancer using data from the Global Burden of Disease 2021 Study, the largest and most up-to-date global epidemiology database. We estimated the annual percent change (APC) and its 95% confidence interval (CI) to assess changes in age-standardized rates over time. Results: In 2021, there were 111.12 million cases of AUD, 3.02 million cases of ALD, and 132,030 cases of alcohol-attributable primary liver cancer. Between 2000 and 2021, there was a 14.66% increase in AUD, a 38.68% increase in ALD, and a 94.12% increase in alcohol-attributable primary liver cancer prevalence. While the age-standardized prevalence rate for liver cancer from alcohol increased (APC 0.59%; 95% confidence interval [CI] 0.52 to 0.67%) over these years, it decreased for ALD (APC –0.71%; 95% CI –0.75 to –0.67%) and AUD (APC –0.90%; 95% CI –0.94 to –0.86%). There was significant variation by region, socioeconomic development level, and sex. During the last years (2019–2021), the prevalence, incidence, and death of ALD increased to a greater extent in females. Conclusions Given the high burden of AUD, ALD, and alcohol-attributable primary liver cancer, urgent measures are needed to prevent them at both global and national levels.

General anesthesia, pivotal for surgical procedures, requires precise depth monitoring to mitigate risks ranging from intraoperative awareness to postoperative cognitive impairments. Traditional assessment methods, relying on physiological indicators or behavioral responses, fall short of accurately capturing the nuanced states of unconsciousness. This study introduces a machine learning-based approach to decode anesthesia depth, leveraging EEG data across different anesthesia states induced by propofol and esketamine in rats. Our findings demonstrate the model's robust predictive accuracy, underscored by a novel intra-subject dataset partitioning and a 5-fold cross-validation method. The research diverges from conventional monitoring by utilizing anesthetic infusion rates as objective indicators of anesthesia states, highlighting distinct EEG patterns and enhancing prediction accuracy. Moreover, the model's ability to generalize across individuals suggests its potential for broad clinical application, distinguishing between anesthetic agents and their depths. Despite relying on rat EEG data, which poses questions about real-world applicability, our approach marks a significant advance in anesthesia monitoring.
Animals ; Machine Learning ; Electroencephalography/methods* ; Ketamine/administration & dosage* ; Rats ; Male ; Propofol/administration & dosage* ; Rats, Sprague-Dawley ; Anesthesia, General/methods* ; Brain/physiology* ; Intraoperative Neurophysiological Monitoring/methods*

Objective To analyze the expression of SPAG5 in gastric cancer tissues and its regulatory roles in gastric cancer cell growth.Methods TCGA analysis,immunohistochemistry,and immunofluorescence staining were used to analyze the expression patterns of SPAG5 and MKi67 in gastric cancer and adjacent tissues.In gastric cancer AGS and MGC803 cells,the effects of lentivirus-mediated SPAG5 knockdown on cell growth and apoptosis were evaluated using Celigo,MTT,clone formation assays and flow cytometry.Results Proteinatlas and TCGA database analysis suggested that SPAG5 was highly expressed in gastric cancer,and Kaplan-Meier analysis and GEPIA analysis showed high expressions of SPAG 5 in lung adenocarcinoma,breast cancer,hepatocellular carcinoma,pancreatic carcinoma,cervical cancer and bladder carcinoma.Immunohistochemistry revealed that SPAG5 was highly expressed in gastric cancer tissues(P<0.001),and immunofluorescence colocalization analysis demonstrated a significant correlation between SPAG5 and MKI67(R=0.393,P<0.001).RT-qPCR and Western blotting showed that SPAG5 was highly expressed in MKN74,BGC823,MGC803,SGC7901 and AGS cells.In AGS and MGC803 cells,SPAG5 knockdown significantly inhibited proliferation and promoted apoptosis.Conclusions The expressions of SPAG5 and MKi67 are correlated in gastric cancer tissues,and SPAG5 knockdown inhibits the proliferation of gastric cancer cells.SPAG5 is associated with the prognosis of gastric cancer patients and may serve as a promising biomarker for gastric cancer.

Objective:To describe the distribution of fat mass (FM), fat mass percentage (FMP), and fat mass index (FMI) in children aged 3-17 years in China.Methods:Data of this study were from the National Nutrition and Health Systematic Survey in 0-18 years old children in China. A total of 70 853 children aged 3-17 years old selected from seven regions of China were included in this analysis. Body composition were measured by using bioelectrical impedance meter. The region, gender and age specific FM, FMP and FMI of the subjects were described by using M ( Q1, Q3). Kruskal-Wallis H rank sum test was used for the comparison of intergroup differences. DSCF method was used for pairwise comparisons. Results:The medians of FM, FMP and FMI were 3.0 kg, 18.3% and 2.9 kg/m 2 in boys aged 3 years and 2.9 kg, 19.0% and 2.9 kg/m 2 in girls aged 3 years, respectively. The FM increased with age and the FMP and FMI decreased with age in both boys and girls aged 3-5 years. After 11 years old, the FM, FMP and FMI decreased first and then increased in boys. From 6-17 years old, the FM, FMP and FMI increased gradually in girls. The FM, FMP and FMI were higher in girls than in boys after 12 years old (all P<0.05). The FM, FMP and FMI were relatively higher in children at the age of 6-14 in northeastern and northern China than in other regions. Conclusions:The age specific FM, FMP and FMI had different changing characteristics in boys and girls aged 3-17 years in seven regions of China. The FM, FMP and FMI also differed with region.

Purpose To elucidate the clinicopathological characteristics of primary malignant giant cell tumor of bone(PMGCTB)with mainly osteosarcoma-like morphology.Meth-ods Clinicopathologic features of 7 cases of PMGCTB were ret-rospectively analyzed.Results Among 7 patients with PMGCTB,there were 4 females and 3 males,aged between 9 and 66 years(mean age 39.5 years,median age 35 years).The distal femur emerged as the most frequent site to be involved(3/6).The main clinical manifestations included pain and swelling at the original site of the tumor.Radiological findings indicated osteolytic lesions,often combined with sclerotic areas;most ca-ses showed cortical bone destruction and soft tissue masses(5/7).Histologically,the majority of tumors exhibited typical mor-phological features of osteosarcoma with a few or without osteo-clast-like multinucleated giant cells.Positive immunoreaction with H3F3A G34W was confirmed in 6 cases and with H3F3A G34V in 1 case.SATB2 and p63 were positive in all cases,p53 was proved to be wild type,the Ki67 proliferation index ranged approximately from 10％to 50％.H3F3A p.G34W mutation was detected in 6 cases and only 1 case harboring H3F3A p.G34V mutation.Conclusion PMGCTB is exceedingly rare and difficult for accurate diagnosis,especially for those with atypical morphological features.A comprehensive analysis involving ra-diological,immunophenotypic,and molecular detection is neces-sary to rule out other high-grade sarcomas.

The study aimed to investigate the expression of ITGB1 in gastric cancer tissues and its impact on the efficacy of immunotherapy,and to find a new biomarker for prognosis assessment and prediction of immunotherapy response in gastric cancer.By utilizing bioinformatics methods to analyze the transcriptomic data,clinical pathological characteristics,and survival information of gastric cancer patients in the Cancer Genome Atlas(TCGA)database,this study evaluates the expression of ITGB1 in gastric cancer and its correlation with clinical features.Furthermore,an in-depth analysis was conducted for evaluating the relationship of ITGB1 expression with immune infiltration,immune checkpoint-related genes,immune subtypes and immunotherapy response.Data showed that high ITGB1 expression in gastric cancer tissues is associated with later T stage,lower survival rates,and lower overall survival.Analysis of immune infiltration scores showed the score for CD4+T cells,CD8+T cells,neutrophils,macrophages and dendritic cells were higher in the high ITGB1 expression group.Additionally,the levels of immune checkpoint-related genes such as SIGLEC15,TIGIT,CD274,HAVCR2,CTLA4 and PDCD1LG2 were elevated in the high ITGB1 expression group,and the expression of ITGB1 was positively correlated with the expression of immune checkpoint-related genes including SIGLEC15,TIGIT,CD274,HAVCR2,CTLA4,LAG3 and PDCD1LG2.Analysis based on the data from the TISIDB database revealed differential expression of ITGB1 in various immune subtypes of gastric cancer,with significantly higher expression levels in the C6 subtype(TGF-β dominant type).The TIDE algorithm indicated a high score for the group with high ITGB1 expression,suggesting poor efficacy of immune checkpoint blockade therapy.To sum up,we find that high expression of ITGB1 in gastric cancer tissues is a poor prognostic indicator for gastric cancer patients,thus ITGB1 may serve as a potential biomarker for assessing prognosis and predicting the efficacy of immunotherapy in gastric cancer.

Objective:To investigate the clinicopathological characteristics of giant cell tumor of bone (GCTB) in children.Methods:A total of 35 cases of GCTB diagnosed at Shanghai Sixth People′s Hospital Affiliated to Shanghai Jiaotong University School from 2016 to 2023 were collected, and a retrospective analysis of clinicopathological features and imaging findings was conducted.Results:Pediatric GCTB accounted for approximately 4.6% of total GCTB cases during the study period. There were 11 males and 24 females. The onset age ranged from 9 to 18 years (mean age 15 years, median age 16 years), with 8 cases (8/35, 22.9%) experiencing postoperative recurrence. Twenty-eight cases (28/35, 80%) primarily affected long bones, while 7 cases involved small or irregular bones. Imaging revealed osteolytic changes as the predominant feature, with 3 cases exhibited open physis, one of which had the tumor primarily at the diaphysis without crossing the physis. Histologically, pediatric GCTB resembled adult cases, characterized by mononuclear cells and osteoclast-like giant cells. Seven cases with denosumab treatment demonstrated degrees of giant cell disappearance, increased fibrous tissue and reactive bone proliferation in the stroma. One case was diagnosed as pediatric multicentric GCTB, and three cases as pediatric primary malignant GCTB, with malignant transformation into osteosarcoma. In all 35 cases, mutations in the H3F3A gene were identified, comprising 32 cases with H3.3 p.G34W mutations, one case with H3.3 p.G34V mutation, and 2 cases with H3.3 p.G34L mutations. Notably, the former two categories were successfully validated at the protein level through immunohistochemical staining, utilizing highly specific antibodies tailored for these mutation types: H3.3 p.G34W antibody and H3.3 p.G34V antibody. However, immunohistochemical staining was not available for the last category.Conclusions:Pediatric GCTB predominantly affects females and occurs primarily in long bones, mainly around the knee joint, the majority of tumors predominantly arise in the epiphysis and extend into the metaphysis; however, in cases where the epiphyseal plates are still unclosed, the tumors may be restricted to the metaphysis. Detection of H3F3A gene mutation is crucial for the diagnosis and differential diagnosis of pediatric GCTB.

Purpose/Significance Through the establishment of a quality control system for electronic medical record(EMR)con-tent,the standardization and normalization of medical record writing is realized,and the quality of hospital medical record is improved.Method/Process The intelligent medical data center is built based on hospital medical data,and the knowledge base and rule base with tumor specialty characteristics are formed by combining natural language processing(NLP)and machine learning technology.The new quality control mode of"pre-audit,comprehensive coverage,process supervision and closed-loop management"of EMR is realized.Result/Conclusion After the application of the medical record quality control system based on NLP,the quality control coverage rate in-creased from 1%to 100%,and the rate of class A medical records increased to more than 96%,with good real-time and accuracy,providing a solid information foundation for the high-quality development of hospital medical records.