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*

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.

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.

A high-performance liquid chromatographic(HPLC)method for the assay of pregabalin gastric retention sustained-release tablets was established,successfully solving the problem of low recovery of pregabalin through a special sample pretreatment method.By comparing salting-out and excipient dispersion,the pretreatment methods to overcome the viscosity of the test solution were established.Both methods can be used for the determination of the product content,but the salting-out method is easier to operate.The HPLC conditions were Inertsil ODS-3(4.6 mm×0.25 m,5 μm)column with mobile phase of 3.4 g/L potassium dihydrogen phosphate(pH adjusted to 6.3 by ammonia)and methanol(85︰15);the column temperature was 30℃;the flow rate was 1.0 mL/min;the sample size was 50 μL;and the detection wavelength was 210 nm.Through the validation of the salting-out method,the average recovery of the drug was 99.74%and the RSD was 0.43%;the precision test RSD was 0.77%;the test solution was stable within 12 h;the chromatographic system had good durability;and the excipient did not interfere with the content detection.The method is stable,reliable and suitable for the assay of pregabalin gastric retention sustained release tablets.

Objective To investigate the sleep disorders and its effects on the changes in quality of life in patients with liver cancer from the hospital admission to 6 months after surgery and to analyse the correlation between the sleep disorder and quality of life.Methods A total of 214 patients who underwent surgery for liver cancer for the first time were included in the study.Demographic questionnaire,Pittsburgh sleep quality index(PSQI),and functional assessment of cancer therapy-hepatobiliary(FACT-Hep)were used for the investigation at admission and at 1,3 and 6 months after surgery.Multiple linear regression was employed to analyse the correlation between the sleep disorders at the admission and its effect on quality of life up to 6 months after surgery.Results Toally 214 patients finished the study at admission and 209 finished the study 1 month after surgery,and 208 finished the stuoly 3 months after surgery,and 205 patients finished the study 6 months after surgery.The scores of both of PSQI at admission and the quality of life at 6 months after surgery varied across the tested time points with a statistically significant difference(both P<0.001).The overall level of sleep disorder in the patients showed a characteristic pattern with initially increasing and then decreasing,and the quality of life presented a characteristic tendency of starting from high to low and then gradually increasing.It showed that the sleep disorder at admission was attributive to the poorer quality of life at 6 months after surgery.The hierarchical regression analysis showed that among the patients at BCLC Stage A,sleep disorder at admission was the influencing factor of the quality of life at 6 months after surgery.Conclusions The sleep disorder and quality of life in the patients who had surgical operations for hepatocellular carcinoma both changed dynamically from admission to the 6 months after surgery.The quality of life was poor in the patients with sleep disorder at admission.Therefore,medical staff should enhance the sleep management at admission,conduct dynamic assessment of the sleep disorder and quality of life of the patients,and then develop continuity nursing measures to improve the quality of life after surgery.

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.