[Objective] To analyze the distribution of Rh blood group phenotype in some ethnic groups in China, so as to provide references for accurate blood transfusion. [Methods] The data of CNKI, Wanfang data and VIP were retrieved using "Rh blood group" and "nationality", and the search of PubMed database was conducted with the keywords "Rh blood group", "nationalities", "ethnic groups" and "China", with retrieval time until September 19, 2024 Data were extracted from eligible studies and the literature quality was evaluated using the criteria for cross-sectional studies in STROBE statement. Meta analysis was performed using Stata 11.0 software. [Results] A total of 350 relevant literature were retrieved, of which 26 were included. The total sample size for Rh phenotype distribution detection were 31 432, and the total population for RhD negative screening was 47 227, covering 26 ethnic groups. Meta-analysis revealed that the Rh blood groups phenotype distribution in certain ethnic populations in China was mainly CCDee 46.7% (95%CI=46.2%-47.2%), CcDEe 30.1% (95%CI=29.5%-30.6%), and CcDee 9.0% (95%CI=8.7%-9.3%). Analysis of the RhD-negative phenotype indicated an negative rate of RhD of 0.3% (95%CI=0.2%-0.3%), with the main phenotype distributions of ccdee at 0.2% (95%CI=0.1%-0.2%) and ccdEe at 0.2% (95%CI=0.0%-0.4%). The meta-analysis results of the distribution of common phenotypes among different ethnic groups showed that the CCDee phenotype was mainly distributed as Hani>Dong>Buyi>Miao>Tujia>Hui>Zang>Kazakh>Mongol>Uygur; the CcDEe phenotype: Zang>Mongol>Hui; the CcDee phenotype: Uygur>Kazakh>Mongol>Zang>Hui>Dong>Miao>Tujia>Buyi; the ccDEE phenotype: Zang>Hui=Mongol. The results of this study are similar to those of Qingdao population in China, but differ from studies conducted in North India, German individuals of European ancestry and Saudi Arabian populations. [Conclusion] The distribution of Rh blood group phenotypes in some ethnic groups in China shows no significant difference compared to the Han population, but there are differences when compared to populations in other countries and regions.

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*

Digital biopsy for liver diseases is characterized by the deep integration of artificial intelligence （AI） technologies and large-scale liver disease data， through which intelligent analytics are applied to support clinical decision-making and full-cycle management. This article reviews the AI technical framework based on standardized data governance and centered on multimodal large medical models， covering the application of natural language processing， knowledge map， generative AI， and large language models in the establishment of databases for specialty diseases， diagnosis， prognosis prediction， treatment， and automated medical documentation. This article also discusses the application prospects of this framework in medical education， scientific research， and healthcare management. Although this technique shows broad application potential， it still faces challenges in areas such as multi-center data integration， model interpretability， ethics， and data security. In the future， a smart ecosystem with closed-loop optimization and human-AI collaboration should be established to promote the comprehensive implementation of digital biopsy in the whole process of medicine， education， research， and management， thereby providing help for the precise prevention and control and holistic health management of liver diseases.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective:To understand the cognition of the family caregivers of terminal cancer patients on digital health intervention, to clarify their actual needs, and to analyze the obstacles to their acceptance of digital health intervention, so as to develop a digital health intervention plan for the family caregivers of terminal cancer patients.Methods:From February 2024 to March 2024, the family caregivers of 16 patients with terminal cancer in Hunan Cancer Hospital Pain Hospice Ward were selected by objective sampling, who met the inclusion and exclusion criteria were interviewed in a semi-structured manner about the cognition and needs of digital health intervention, and the interview contents were sorted and analyzed using the Colaizzi7 step method.Results:A total of 16 family caregivers of terminal cancer patients, 4 males and 12 females, aged 26-55 years, were interviewed. Four themes were distilled from the interview results: family caregivers of terminally cancer patients agree on the importance of digital health interventions; lack of awareness of digital health interventions; expectations of digital health interventions; and possible confounders affecting digital health interventions.Conclusions:The family caregivers of terminal cancer patients had insufficient awareness of digital health intervention, but all showed affirmation of the development of digital health intervention services. It is recommended to actively improve the basic conditions of digital health services, strengthen publicity, raise the level of awareness of the family caregivers, and positively overcome the relevant interfering factors, so as to gradually promote the development of digital health services.

Objective To investigate the effects of 0.5 Gy 60Co γ-ray irradiation on intestinal tissue injury and intestinal microflora in mice.Methods C57BL/6N mice were irradiated with 0.5 Gy 60Co γ-ray at 1 d,3 d,7 d and 14 d after irradiation.Jejunum tissues were fixed and frozen,and feces were frozen.Hematoxylin-eosin staining was used to observe the pathological injury to jejunum after irradiation,ki67 immunohistochemical staining was adopted to detect the proliferation of jejunum crypt cells,and TdT-mediated dUTP nick end labeling was employed to detect the apoptosis of jejunum crypt cells.The expressions of TNF-α,IL-1β,IL-6 and IL-10 cytokines in small intestines were detected via radioimmunoassay.The changes of intestinal flora in mice after irradiation were analyzed by metagenomic sequencing,and LEfSe analysis and ROC analysis were used to screen the bacteria with significant differences.Results After 0.5 Gy 60Co γ-ray irradiation,the proliferative cells of the jejunal crypt were significantly decreased at 1 d after irradiation(P＜0.05),while the apoptotic cells were significantly increased at 1 and 3 d after irradiation(P＜0.01).The expression of TNF-α at 7 and 14 d after irradiation,that of IL-1 β at 1,3,7 and 14 d after irradiation and that of IL-6 at 3,7 and 14 d after irradiation were significantly increased(P＜0.05),while the expression of IL-10 at 7 and 14 d after irradiation was significantly decreased(P＜0.05).After 0.5 Gy 60Co γ-ray irradiation,intestinal flora composition changed significantly at phylum,genus and species levels,and Lactobacillus murinus,Lactobacillus johnsonii,Alistipes-unclassified,Mucispirillum schaedleri underwent the most significant changes and had higher LDA scores.Conclusion The whole body irradiation of 0.5 Gy 60Co γ-ray can cause intestinal tissue damage and change the composition of intestinal flora in mice.

Objective:To investigate the evaluation efficacy and predictive prognostic value of alpha-fetoprotein (AFP) response in tyrosine kinase inhibitors (TKIs) in combination with PD-1 inhibitors (α-PD-1) for intermediate-to-advanced hepatocellular carcinoma (HCC).Methods:The retrospective cohort study was conducted. The clinicopathological data of 205 patients with intermediate-to-advanced HCC who were admitted to 9 medical centers, including Mengchao Hepatobiliary Hospital of Fujian Medical University et al, from March 2020 to July 2022 were collected. There were 178 males and 27 females, aged (52±12)years. Based on AFP response at 6-8 weeks after treatment, patients were divided into the AFP response group (AFP level decreased by ≥50% compared to baseline) and the AFP no response group (AFP level decreased by <50% compared to baseline). Observation indicators: (1) AFP response evaluation of anti-tumor efficacy; (2) comparison of patient prognosis; (3) analysis of factors affecting patient prognosis. Measurement data with normal distrubution were represented as Mean± SD, and measurement data with skewed distribution were represented as M(range) and M( Q1, Q3). Count data were described as absolute numbers, and comparison between groups was conducted using the chi-square test. The Kaplan-Meier method was used to draw survival curve and calculate survival rate, and the Log-Rank test was used for survival analysis. The COX proportional risk model was used for univariate analysis and the COX stepwise regression model was used for multivariate analysis. Results:(1) AFP response evaluation of anti-tumor efficacy. Before treatment, all 205 patients were positive of AFP, with a baseline AFP level of 1 560(219,3 400)μg/L. All 205 patients were treated with TKIs in combination with α-PD-1, and the AFP level was 776(66,2 000)μg/L after 6 to 8 weeks of treatment. Of the 205 patients, 88 cases were classified as AFP response and 117 cases were classified as AFP no response. According to the response evaluation criteria in solid tumors version 1.1, the objective response rate (ORR) and disease control rate (DCR) were 42.05%(37/88) and 94.32%(83/88) in patients of the AFP response group and 16.24% (19/117) and 64.10% (75/117) in patients of the AFP no response group, showing significant differences between them ( χ2=16.846, 25.950, P<0.05). According to the modified response evaluation criteria in solid tumors, the ORR and DCR were 69.32% (61/88) and 94.32% (83/88) in patients of the AFP response group and 33.33% (39/117) and 64.10% (75/117) in patients of the AFP no response group, showing significant differences between them ( χ2=26.030, 25.950, P<0.05). (2) Comparison of patient prognosis. All 205 patients were followed up for 12.4(range, 2.4-34.0)months after treatment. The median progression free survival time and total survival time were 5.5 months and 17.8 months, respectively. The 1-year, 2-year progression free survival rates were 20.8% and 7.2%, and the 1-year, 2-year overall survival rates were 68.7% and 31.5%, respectively. The median progression free survival time, 1-year and 2-year progression free survival rates were 9.7 months, 39.6% and 14.2% in patients of the AFP response group and 3.7 months, 7.8% and 2.0% in patients of the AFP no response group, showing a significant difference in progression free survival between them ( χ2=43.154, P<0.05). The median overall survival time, 1-year and 2-year overall survival rates were not reached, 85.2% and 56.3% in patients of the AFP response group and 14.6 months, 56.3% and 14.5% in patients of the AFP no response group, showing a significant difference in overall survival between them ( χ2=33.899, P<0.05). (3) Analysis of factors affecting patient prognosis. Results of multivariate analysis showed that invasion of large blood vessels, extrahepatic metastasis, combined hepatic artery intervention therapy, and AFP response were independent factors influencing progression free survival in patients with intermediate-to-advanced HCC who were treated with TKIs in combination with α-PD-1 ( hazard ratio=1.474, 1.584, 0.631, 0.367, 95% confidence interval as 1.069-2.033, 1.159-2.167, 0.446-0.893, 0.261-0.516, P<0.05), and Eastern Cooperative Oncology Group score, invasion of large blood vessels, extrahepatic metastasis, and AFP response were independent factors influencing overall survival in patients with intermediate-to-advanced HCC who were treated with TKIs in combination with α-PD-1 ( hazard ratio= 1.347, 1.914, 1.673, 0.312, 95% confidence interval as 1.041-1.742, 1.293-2.833, 1.141-2.454, 0.197-0.492, P<0.05). Conclusions:AFP response at 6-8 weeks after treatment can effectively evaluate anti-tumor efficacy of TKIs in combination with α-PD-1 for intermediate-to-advanced HCC. AFP response is the independent factor influencing progression free survival and overall survival in patients with intermediate-to-advanced HCC who were treated with TKIs in combination with α-PD-1.

Objective:To screen ferroptosis genes related to prognosis of malignant pleural mesothelioma(MPM),explore the relationship between ferroptosis and tumor immune microenvironment and provide a new perspective for targeting and immunotherapy of MPM patients.Methods:The differentially expressed genes(DEGs)in MPM tumor group and normal group were analyzed in GEO database;intersection of DEGs and ferroptosis genes to obtain differentially expressed ferroptosis-related genes(DE-FRGs).GO,KEGG function enrichment and protein protein interaction(PPI)were used to identify the signal pathways mainly involved by DE-FRGs.The prognosis related ferroptosis genes were identified by univariate COX analysis.LASSO regression analysis was used to screen the best DE-FRGs for establishing the risk prediction model,and a risk prognosis model based on the best DE-FRGs was estab-lished by multivariate cox analysis to verify the prediction effect of the model.Finally,CIBERSORT and other algorithms were used to analyze tumor immune cell infiltration and evaluate immune microenvironment.Results:Twenty-four prognosis related DE-FRGs were screened,which were mainly concentrated in ferroptosis,transcriptional regulation and response to inorganic substances.A MPM risk prediction model based on five ferroptosis-related genes(ALDH3A2,CAV1,HRAS,CDCA3 and RRM2)was established and vali-dated.In the model,the proportion of CD8+T cells and macrophages in high-risk group were higher,while the proportion of B lympho-cytes was lower.In addition,PD-1,CTLA-4 and their ligands at immune checkpoint had higher expression status in high-risk group.Conclusion:The MPM risk prediction model based on five ferroptosis-related genes is established,and the immune status in the model is clarified.It provides a certain research basis for targeting and immunotherapy of MPM.The predictive ability of this model in MPM needs to be further verified in clinical practice to better predict disease stratification and treatment management.

Objective:To investigate whether end-tidal carbon dioxide (etCO 2) is associated with acute kidney injury (AKI) after liver transplantation. Methods:Clinical data of 83 patients undergoing classic allogeneic liver transplantation were retrospectively collected. Patients were divided into AKI group and non AKI group based on changes in serum creatinine levels within 48 hours after surgery, and differences in baseline data, intraoperative etCO 2 decrease rate [ΔetCO 2(%)], and postoperative creatinine values were analyzed between the groups. Results:The incidence of AKI within 48 hours after liver transplantation in 83 patients was 56.6%(47/83). The proportion of male patients in the AKI group was higher ( P=0.003), and the ΔetCO 2(%) in the anhepatic phase of AKI group patients was higher than that of non AKI patients [(0.26±0.08)% vs (0.22±0.07)%, P=0.024]. There was no statistically significant difference in ΔetCO 2(%) between the two groups during pre liver, inferior vena cava (IVC) occlusion, and new liver phase (all P>0.05). On the 7th day after surgery, the creatinine value in the AKI group was significantly higher than that in the non AKI group [68.7(55.4, 92.6)]μmol/L vs 52.7(44.1, 69.3)μmol/L, P<0.001], at a 3-month follow-up, creatinine levels in 43 patients (91.5%) in the AKI group returned to normal. Conclusions:The decrease in ΔetCO 2(%) during the anhepatic phase of liver transplantation reflects to some extent the severe fluctuations in circulation during the operation, which may be related to the occurrence of AKI within 48 hours after surgery.