ObjectiveTo investigate the value of Fried Frailty Phenotype （FFP）， liver frailty index （LFI）， and Short Physical Performance Battery （SPPB） in predicting 2-year all-cause mortality and decompensation events in patients with liver cirrhosis. MethodsA total of 277 patients with liver cirrhosis who were hospitalized in Beijing Friendship Hospital， Capital Medical University， from December 2020 to December 2021 were enrolled， and FFP， LFI， and SPPB were used to assess the state of frailty. Based on the scores of each tool， these patients were divided into frail and non-frail groups. These three tools were compared in terms of consistency and independent predictive performance. The primary endpoints were 2-year all-cause mortality rate and composite endpoints （death+decompensation events）， and the Cox regression analysis， the receiver operating characteristic （ROC） curve， net reclassification index （NRI）， and integrated discrimination improvement （IDI） index were used to analyze the predictive value of the three tools. Normally distributed continuous data were compared between two groups using the independent samples t-test， while non-normally distributed continuous data were compared using the Mann-Whitney U test. Categorical data were compared between groups using the chi-square test or Fisher’s exact test. The agreement among different frailty tools was evaluated using Cohen’s Kappa statistic. The Kaplan-Meier survival curve was plotted， and a survival analysis was performed using the log-rank test. ResultsThe prevalence rate of frailty assessed by FFP， LFI， and SPPB was 37.2%， 22.4%， and 20.2%， respectively， with a moderate consistency between FFP and LFI/SPPB （κ=0.57， 95% confidence interval ［CI］： 0.47 — 0.67； κ=0.51， 95%CI： 0.41 — 0.62） and a relatively high consistency between LFI and SPPB （κ=0.87， 95%CI： 0.80 — 0.94）. Compared with the non-frailty group， the frailty group had significantly higher all-cause mortality rate and incidence rate of composite endpoints （P0.001）. After multivariate adjustment， FFP， LFI， and SPPB had a hazard ratio of 2.42（95%CI： 1.51 — 5.11）， 2.21（95%CI： 1.11 — 4.42）， and 2.21（95%CI： 1.14 — 4.30）， respectively， in predicting all-cause mortality， as well as a hazard ratio of 2.51（95%CI： 1.61 — 3.91）， 2.40（95%CI： 1.51 — 3.80）， and 2.20（95%CI： 1.39 — 3.47）， respectively， in predicting composite endpoints. Compared with Child-Pugh score， FFP had a significantly greater area under the ROC curve （AUC） in predicting all-cause mortality （0.79 vs 0.69， P=0.032） and composite endpoints （0.75 vs 0.68， P=0.044）. Frailty assessment tools combined with Child-Pugh score significantly improved the performance in predicting all-cause mortality and composite endpoints， with an AUC of 0.81 — 0.82 and 0.77 — 0.78， respectively （P0.05）. NRI and IDI analyses further confirmed the improvement of the combined model in classification （all P0.001）. ConclusionFFP， LFI， and SPPB can independently predict adverse outcomes in patients with liver cirrhosis， among which FFP has the best predictive performance， and the combination of frailty assessment tools with Child-Pugh score can significantly enhance the accuracy of prognostic evaluation.

Objective:To describe the body mass index (BMI) level and long-term trends of Chinese older adults aged 65 and above.Methods:Older adults aged 65 and above from six waves (2002-2018) of the China Longitudinal Healthy Longevity Survey were selected as the study population. Multiple cross-sectional design with six survey waves conducted in 2002, 2005, 2008, 2011, 2014, and 2018 was adopted, enrolling 15 647, 15 358, 15 622, 9 166, 6 302, and 12 417 participants, respectively. Additionally, a total of 13, 755 participants were included in the cohort study design. Relevant information was collected through questionnaires and physical examinations. The χ2 trend test was used to compare the changes in the rates of underweight and overweight/obesity over the years, and the linear mixed-e?ects model (LMM) was used to fit trajectory curves of BMI changes with advancing age in older adults. Results:The baseline ages of the participants included in 2002, 2005, 2008, 2011, 2014, and 2018 were (85.16±11.26), (84.23±11.83), (84.99±12.16), (81.10±11.86), (78.89±11.30), and (83.08±12.42) years, respectively, with a relatively high proportion of females and rural residents. In the cohort study, the 13 755 participants had a median ( Q1, Q3) follow-up time of 6.5 (5.2, 10.0) years, with a cumulative follow-up duration of 109 041 person-years. In each wave, males had higher BMI than females, urban residents had higher BMI than rural residents, and BMI gradually decreased with increasing age (all P<0.001). The mean BMI of older adults in China increased from (19.37±3.80) kg/m2 in 2002 to (22.04±4.01) kg/m2 in 2018 ( P<0.001). Across all survey years, the prevalence of underweight was consistently higher in women than in men and in rural areas than in urban areas, with an upward trend as age increased (all P<0.001). In 2018, the underweight rates in the 65-79, 80-89, 90-99, and ≥100-year-old age groups were 8.0%, 16.7%, 26.2%, and 35.5%, respectively. Meanwhile, the prevalence of overweight/obesity was higher in men than in women and in urban areas than in rural areas, showing a declining trend with advancing age (all P<0.001). The prevalence of underweight among the older adults decreased significantly from 45.2% in 2002 to 18.9% in 2018 ( P<0.001), while the prevalence of overweight/obesity increased from 11.0% in 1998 to 29.6% in 2018 ( P<0.001). The trajectory curves fitted by the LMM model showed that individuals born in later decades had higher BMI levels at the same age compared to earlier cohorts. Conclusion:From 2002 to 2018, the BMI level among Chinese older adults showed an increasing trend. The prevalence of underweight showed a declining trend, while the rates of obesity and overweight increased. However, the underweight rate remained notably high among the oldest old.

Perihilar cholangiocarcinoma(PHCC)has an insidious onset,is highly aggressive,and carries a poor prognosis.Radical surgical resection is crucial for improving patient survival.Due to the complex anatomy of the hepatic hilum,conventional laparoscopic surgery faces numerous challenges.In recent years,robotic surgery has shown significant potential in PHCC procedures,owing to its high-definition naked-eye 3D visualization,precise maneuvers,and superior dexterity.However,its widespread adoption remains limited by high costs,restricted intraoperative working space,and the absence of tactile feedback.Drawing on international research progress and our own clinical experience,this article analyzes optimization strategies including assessment of local tumor involvement,rational trocar placement,lymphatic and neural plexus dissection,determination of the extent of hepatectomy,vascular resection and reconstruction,bile duct reconstruction,and choledochojejunostomy.The aim is to explore approaches to overcoming these challenges and breaking through existing limitations,thereby providing new strategies and technical pathways for precise minimally invasive treatment of PHCC.

Perihilar cholangiocarcinoma(PHCC)has an insidious onset,is highly aggressive,and carries a poor prognosis.Radical surgical resection is crucial for improving patient survival.Due to the complex anatomy of the hepatic hilum,conventional laparoscopic surgery faces numerous challenges.In recent years,robotic surgery has shown significant potential in PHCC procedures,owing to its high-definition naked-eye 3D visualization,precise maneuvers,and superior dexterity.However,its widespread adoption remains limited by high costs,restricted intraoperative working space,and the absence of tactile feedback.Drawing on international research progress and our own clinical experience,this article analyzes optimization strategies including assessment of local tumor involvement,rational trocar placement,lymphatic and neural plexus dissection,determination of the extent of hepatectomy,vascular resection and reconstruction,bile duct reconstruction,and choledochojejunostomy.The aim is to explore approaches to overcoming these challenges and breaking through existing limitations,thereby providing new strategies and technical pathways for precise minimally invasive treatment of PHCC.

Objective:To describe the body mass index (BMI) level and long-term trends of Chinese older adults aged 65 and above.Methods:Older adults aged 65 and above from six waves (2002-2018) of the China Longitudinal Healthy Longevity Survey were selected as the study population. Multiple cross-sectional design with six survey waves conducted in 2002, 2005, 2008, 2011, 2014, and 2018 was adopted, enrolling 15 647, 15 358, 15 622, 9 166, 6 302, and 12 417 participants, respectively. Additionally, a total of 13, 755 participants were included in the cohort study design. Relevant information was collected through questionnaires and physical examinations. The χ2 trend test was used to compare the changes in the rates of underweight and overweight/obesity over the years, and the linear mixed-e?ects model (LMM) was used to fit trajectory curves of BMI changes with advancing age in older adults. Results:The baseline ages of the participants included in 2002, 2005, 2008, 2011, 2014, and 2018 were (85.16±11.26), (84.23±11.83), (84.99±12.16), (81.10±11.86), (78.89±11.30), and (83.08±12.42) years, respectively, with a relatively high proportion of females and rural residents. In the cohort study, the 13 755 participants had a median ( Q1, Q3) follow-up time of 6.5 (5.2, 10.0) years, with a cumulative follow-up duration of 109 041 person-years. In each wave, males had higher BMI than females, urban residents had higher BMI than rural residents, and BMI gradually decreased with increasing age (all P<0.001). The mean BMI of older adults in China increased from (19.37±3.80) kg/m2 in 2002 to (22.04±4.01) kg/m2 in 2018 ( P<0.001). Across all survey years, the prevalence of underweight was consistently higher in women than in men and in rural areas than in urban areas, with an upward trend as age increased (all P<0.001). In 2018, the underweight rates in the 65-79, 80-89, 90-99, and ≥100-year-old age groups were 8.0%, 16.7%, 26.2%, and 35.5%, respectively. Meanwhile, the prevalence of overweight/obesity was higher in men than in women and in urban areas than in rural areas, showing a declining trend with advancing age (all P<0.001). The prevalence of underweight among the older adults decreased significantly from 45.2% in 2002 to 18.9% in 2018 ( P<0.001), while the prevalence of overweight/obesity increased from 11.0% in 1998 to 29.6% in 2018 ( P<0.001). The trajectory curves fitted by the LMM model showed that individuals born in later decades had higher BMI levels at the same age compared to earlier cohorts. Conclusion:From 2002 to 2018, the BMI level among Chinese older adults showed an increasing trend. The prevalence of underweight showed a declining trend, while the rates of obesity and overweight increased. However, the underweight rate remained notably high among the oldest old.

ObjectiveTo understand the mortality trends among residents of Fuling District， Chongqing， before and after theCOVID-19 outbreak， and to provide references for the government to formulate disease prevention and control policies and measures. MethodsData on mortality and population in Fuling District from 2017 to 2022 were collected to analyze population mortality and standardized mortality rates， and to compare the changes in the causes of death by year and before and after the pandemic. ResultsFrom 2017 to 2022， the crude mortality rate in Fuling District showed an upward trend （APC=3.04%， P<0.05）， while the standardized mortality rate showed a downward trend （APC=-6.47%， P<0.01）. The mortality rate of males was higher than that of females （P<0.05）， with different age groups having different causes of death composition. The highest proportion of deaths in 0-year-old group was from infectious diseases， maternal and neonatal diseases， and nutritional deficiencies， the highest proportion of deaths in the 1‒24 age group， with the exception of those aged 5‒9， was from injuries， and the main cause of death for residents aged 25 and above was chronic diseases. The mortality rate of mental and behavioral disorders rose from the 13th to the 9th place. According to the epidemic situation of COVID-19， there were no changes in the top five causes of death among the entire population. The motility rate of endocrine， nutritional and metabolic diseases rose from the sixth to the fifth place in male population， and the motility rate of malignant tumor rose from the 3rd to the 2nd place in female population. ConclusionThere are no changes in the top five causes of death among the entire population of Fuling District before and after the COVID-19 outbreak. Chronic diseases remain the main cause of death. It is necessary to control the risk factors for cardiovascular and cerebrovascular diseases such as hypertension， diabetes， and dyslipidemia， and to curb the rising trend of mortality rates from strokes and acute myocardial infarction. For deaths caused by accidental injuries， targeted health education should be conducted for different populations.

Objective This study aims to assess the role of DNA methylation changes in tongue cancer through a comprehensive analysis of global DNA methylation alterations during experimental lingual carcinogenesis.Methods C57BL/6J mice were subjected to 16-week oral administration of 4-nitroquinoline-1-oxide(4NQO,50 mg/L).Lingual mucosa samples,being representative of normal tissue(week 0)and early(week 12)and advanced(week 28)tumorigen-esis,were harvested for microarray and methylated DNA immunoprecipitation sequencing(MeDIP-Seq).The mRNA and promoter methylation of transforming growth factor-beta-signaling protein 1(SMAD1)were evaluated with real-time quantitative reverse transcription polymerase chain reaction and Massarray in human lingual mucosa and tongue cancer cell lines.Results The cytosine guanine island(CGI)methylation level observed at 28 weeks surpassed that of both 12 weeks and 0 weeks.The promoter methylation level at 12 weeks exceeded that at 0 weeks.Notably,208 differentially expressed genes were negatively correlated to differential methylation in promoters among 0,12,and 28 weeks.The mRNA of SMAD1 was upregulated,con-current with a decrease in promoter methylation levels in cell lines compared to normal mucosa.Conclusion DNA methylation changed during lingual carcinogenesis.Overexpression of SMAD1 was correlated to promoter hypomethyl-ation in tongue cancer cell lines.

Objective To investigate the efficacy of red and blue lights combined with Yufa Shengfa solution and 5% minoxidil solution in treating Ludwig type Ⅰ female androgenetic alopecia. Methods A total of 160 patients with Ludwig type Ⅰ female androgenetic alopecia were randomly divided into group A (Yufa Shengfa solution combined with 5% minoxidil solution), group B (red and blue lights therapy combined with Yufa Shengfa solution), group C (red and blue lights therapy combined with 5% minoxidil solution) and group D (red and blue lights therapy combined with Yufa Shengfa solution and 5% minoxidil solution), with 40 cases in each group. All the patients orally took compound glycyrrhizin tablets and Centrum multivitamins, and the therapeutic period was 3 months. Differences in hair diameter, hair density, and the number of hair follicles with multiple hairs were compared before and after treatment. Results The hair density, hair diameter, and the number of hair follicles with multiple hairs improved significantly in 4 groups compared with those before treatment, and group D showed the best improvement in these parameters, with significant between-group differences (P < 0.001). There were no serious adverse events or side effects during treatment in all the patients. Conclusion Red and blue lights therapy combined with Yufa Shengfa solution and 5% minoxidil solution is an effective non-surgical treatment for Ludwig type Ⅰ female androgenetic alopecia.

【Objective】 To investigate the status of blood donation of pregnant women's family members, so as to recruit their family members and establish potential blood donation team. 【Methods】 Questionnaire survey was carried out among family members of pregnant women who participated in blood preparation plan by random sampling. 【Results】 The motivations of self-efficacy, internal reward, severity and stress of blood donors were significantly higher than those of non-donors, but non-donors concerned more about negative feelings of phlebotomy(P<0.05). People with rare blood type, low age, high income, weak negative motivation and strong positive motivation had stronger blood donation intention and higher probability of blood donation behavior(P<0.05). 【Conclusion】 It is necessary to expand blood sources through multiple channels by organizing publicity activities around targeted groups, such as establishing channels for blood donation reservation, taking the lead role of the donated crowd, so as to build up a recruitment team for voluntary blood donation.

The main progress in international critical care medicine in 2020 are: the reflections on the mandatory of implementation of the 1-hour cluster treatment strategy for sepsis are still continuing; the "metabolic resuscitation" therapy, represented by large dose of vitamin C, failed to yield positive results; the global epidemic of coronavirus disease 2019 (COVID-19) continues to spread, with evidences indicating Dexamethasone, Remdesivir or interferon β-1b (IFNβ-1b), Lopinavir/Ritonavir and ribavirin as promising therapy; conservative oxygen therapy did not exert positive effects neither for mechanical ventilated patients nor for acute respiratory distress syndrome (ARDS) patient; the concept of lung- and diaphragm-protective mechanical ventilation illuminates a new opportunity to potentially improve clinical outcomes for critically ill patients; there was no positive evidence for stress ulcer prophylaxis and timing of endoscopy for severe acute upper gastrointestinal bleeding; early initiation of renal-replacement therapy (RRT) for critically ill patients with acute kidney injury (AKI) has not shown positive effect. At last, artificial intelligence (AI) has shown good potential in identifying ARDS phenotypes and early predicting sepsis.