Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

The chemical composition of Paeoniae Radix Alba(PRA) is complex, with primary secondary metabolites including monoterpenoids, tannins, triterpenoids, and flavonoids. In previous studies on the material basis of PRA, it was found that, in addition to the widely studied characteristic monoterpene glycosides, tannic acid components also play an important role in the efficacy of PRA. However, their pharmacological effects have not been thoroughly investigated. This paper reviews the tannic acid components in PRA, including pentagaloyl glucose(PGG), tetragaloyl glucose(TGG), trigaloyl glucose(TriGG), and gallic acid, along with their structures, properties, and characteristics to provide a detailed discussion of their pharmacological activities and related mechanisms, aiming to offer a theoretical basis for the material basis research and clinical application of PRA.
Paeonia/chemistry* ; Tannins/chemistry* ; Humans ; Drugs, Chinese Herbal/chemistry* ; Animals ; Plant Extracts

Hearing loss is the most prevalent disabling disease. Cochlear implantation（CI） serves as the primary intervention for severe to profound hearing loss. This consensus systematically explores the value of genetic diagnosis in the pre-operative assessment and efficacy prognosis for CI. Drawing upon domestic and international research and clinical experience, it proposes an evidence-based medicine three-tiered prognostic classification system（Favorable, Marginal, Poor）. The consensus focuses on common hereditary non-syndromic hearing loss（such as that caused by mutations in genes like GJB2, SLC26A4, OTOF, LOXHD1） and syndromic hereditary hearing loss（such as Jervell & Lange-Nielsen syndrome and Waardenburg syndrome）, which are closely associated with congenital hearing loss, analyzing the impact of their pathological mechanisms on CI outcomes. The consensus provides recommendations based on multiple round of expert discussion and voting. It emphasizes that genetic diagnosis can optimize patient selection, predict prognosis, guide post-operative rehabilitation, offer stratified management strategies for patients with different genotypes, and advance the application of precision medicine in the field of CI.
Humans ; Cochlear Implantation ; Prognosis ; Hearing Loss/surgery* ; Consensus ; Connexin 26 ; Mutation ; Sulfate Transporters ; Connexins/genetics*

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

Objective To investigate the dosimetric difference between manual and inverse optimization in 3-dimensional (3D) brachytherapy for gynecologic tumors. Methods This retrospective study was conducted among a total of 110 patients with gynecologic tumors undergoing intracavitary combined with interstitial brachytherapy or interstitial brachytherapy. Based on the original images, the brachytherapy plans were optimized for each patient using Gro, IPSA1, IPSA2 (with increased volumetric dose limits on the basis of IPSA1) and HIPO algorithms. The dose-volume histogram (DVH) parameters of the clinical target volume (CTV) including V200, V150, V100, D90, D98 and CI, and the dosimetric parameters D2cc, D1cc, and D0.1cc for the bladder, rectum, and sigmoid colon were compared among the 4 plans. Results Among the 4 plans, Gro optimization took the longest time, followed by HIPO, IPSA2 and IPSA1 optimization. The mean D90, D98, and V100 of HIPO plans were significantly higher than those of Gro and IPSA plans, and D90 and V100 of IPSA1, IPSA2 and HIPO plans were higher than those of Gro plans (P<0.05), but the CI of the 4 plans were similar (P>0.05). For the organs at risk (OARs), the HIPO plan had the lowest D2cc of the bladder and rectum;the bladder absorbed dose of Gro plans were significantly greater than those of IPSA1 and HIPO (P<0.05). The D2cc and D1cc of the rectum in IPSA1, IPSA2 and HIPO plans were better than Gro (P<0.05). The D2cc and D1cc of the sigmoid colon did not differ significantly among the 4 plans. Conclusion Among the 4 algorithms, the HIPO algorithm can better improve dose coverage of the target and lower the radiation dose of the OARs, and is thus recommended for the initial plan optimization. Clinically, the combination of manual optimization can achieve more individualized dose distribution of the plan.

Objective To compare the clinical effect of aripiprazole and risperidone in patients with schizophrenia and metabolic syndrome.Methods A retrospective analysis was performed on the case data of schizophrenia and metabolic syndrome.According to different treatment methods,they were divided into risperidone group(oral risperidone,2 mg once,twice a day)and aripiprazole group(oral aripiprazole,5 mg once,once a day).All were treated for 24 weeks and given lifestyle intervention.The clinical effect,scores of positive and negative symptom scale(PANSS),metabolic syndrome-related indexes[systolic blood pressure(SBP),diastolic blood pressure(DBP),body mass index(BMI),fasting blood glucose(FPG),triglyceride(TG)],cognitive function[MATRICS consensus cognitive battery(MCCB)],levels of serum brain-derived neurotrophic factor(BDNF),tyrosine kinase receptor B(TrkB)and glial cell line-derived neurotrophic factor(GDNF)were compared between the two groups.The adverse drug reactions were statistically analyzed in two groups.Results There were 60 cases in risperidone group and 60 cases in aripiprazole group.The total response rates of aripiprazole group and risperidone group were 91.67％and 76.67％,with significant difference(P＜0.05).After treatment,scores of positive symptoms in PANSS in aripiprazole group and risperidone group were(10.04±1.55)and(11.52±1.62)points;negative symptom scores were(12.74±2.38)and(14.38±2.25)points;general psychopathology scores were(16.53±4.39)and(19.76±4.10)points;total scores of PANSS were(39.31±6.25)and(45.66±6.71)points;total scores of MCCB were(43.61±8.50)and(40.55±8.16)points;BMI were(24.05±2.52)and(25.73±2.86)kg·m-2;SBP were(123.61±7.64)and(128.75±8.59)mmHg;FPG were(5.69±0.60)and(6.38±0.62)mmol·L-1;TG levels were(1.76±0.20)and(2.01±0.22)mmol·L-1;levels of serum BDNF were(32.41±5.81)and(28.65±4.87)pg·mL-1;TrkB levels were(43.88±5.92)and(41.73±5.63)ng·mL-1;GDNF levels were(587.47±36.12)and(468.23±35.68)pg·mL-1,the differences between the two groups were all statistically significant(all P＜0.05).There was no significant difference in the incidence of adverse drug reactions between aripiprazole group and risperidone group(15.00％vs.6.67％,P＞0.05).Conclusion Compared with risperidone,clinical effect of aripiprazole is better in patients with schizophrenia and metabolic syndrome,which has fewer effects on body weight,blood pressure and glycolipid metabolism,and it may improve cognitive function by increasing levels of serum BDNF,TrkB and GDNF.

Objective:To establish auto verification rules for the routine coagulation assays,and to provide reference for clinical laboratories to improve the quality and efficiency of results verification.Methods:A total of 24,510 specimens of sodium citrate anticoagulation routine coagulation test from the laboratory departments of eight hospitals including the First Medical Center,Chinese PLA General Hospital during January to March 2020 were collected and randomly divided into a rule establishment group and a rule verification group,with 6,670 specimens in the rule establishment group,including 2,056 Delta checks,and 17,840 specimens in the rule validation group,including 3,210 Delta checks.The activities of prothrombin time(PT),activated partial thromboplastin time(APTT),fibrinogen(Fib),thrombin time(TT),D-dimer(DD)and/or antithrombin(AT)were detected by Stago STA R Max automatic coagulation analyzer and supporting reagents.Taking the manual verification results as the standard,the auto verification and manual false negative rate(invalid verification),false positive rate(invalid interception),pass rate,positive coincidence rate,negative coincidence rate,verification consistency rate and specimen turnaround time(TAT)of the two groups were calculated.Results:The auto verification rules and the application process were preliminarily established,including internal quality control,alarm information,auto verification scope,critical value and deviation value inspection.In the rule establishment group,the single item pass rate was 82.6%-92.4%,and the overall pass rate was 73.8%.The consistency rate between auto verification and manual verification was 98.2%,and the positive coincidence rate and negative coincidence rate were 24.4%and 73.8%,respectively.In the rule verification group,the single item pass rate was 86.4%-91.5%,and the overall review pass rate was 71.5%.By simulating the application of auto verification rules,the average TAT of two hospitals among the eight hospitals was shortened by 1.5 hours and 2.1 hours,respectively.Conclusion:The application of auto verification rules can reduce workload of manual verification,and significantly shorten the TAT,and improve the report efficiency of the laboratory.