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.

AIM: To predict the core targets and related signaling pathways of Yi-xin-yin oral liquid for the treatment of arrhythmia, heart failure and myocarditis based on UHPLC-Q-TOF/MS, network pharmacology, molecular docking methods, cell experiments, according to the“homotherapy for heteropathy”theory in traditional Chinese medicine. METHODS: UHPLC-Q-TOF / MS was used to analyze and identify the chemical composition of Yi-xin-yin oral liquid Extract and the blood-absorbing components of rats oral administrated with Yi-xin-yin oral liquid extract, which compounds were applied in the databases searching for the potential targets (TCMSP, SwissTargetPrediction) and disease targets (OMIM, Genecard). Venn diagram was used for target intersection, and the subsequent protein-protein interaction network obtained core targets by STRING11.5 database, and then construct a "disease-component-target" network by cytoscape3.9.0. Finally, DAVID database was used to analysis GO function and KEGG enrichment analysis of core targets, and molecular docking validation was performed using Autodock vina software. And, validated with H9c2 cells for potential active ingredients and targets. RESULTS: A total of 156 compounds were identified from Yi - xin-yin Oral Liquid extract; 34 compounds were identified from rat serum, including 6-gin-gerol, isoliquiritigenin, glycyrrhizic acid and other compounds, and 139 intersecting targets were obtained. The KEGG pathway enrichment analysis mainly involved the TNF signaling pathway, IL-17 signaling pathway, MAPK signaling pathway, PI3K-Akt signaling pathway and so on. The TNF and IL-6 targets were selected for molecular docking with the main compounds, and the docking results were good (less than -5 kcal/mol). In vitro cellular experiments have shown that Yi-xin-yin oral liquid can exert therapeutic effects by regulating TNF and IL-6. CONCLUSION: The main potential active ingredients of Yi-xin-yin oral liquid may be isoliquiritigenin, glycyrrhetinic acid, calycosin-7-glucoside, salvianolic acid B, and 6-gingerol, which mainly act on TNF, IL-6 and other targets to regulate specific signaling pathways and exert therapeutic effects.

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.

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 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.