Objective:To explore the stemness characteristics of Luminal-type breast cancer (LBC, based on PAM50 classification) in patients aged over 60, evaluate the association between stemness and prognosis differences in LBC,, and construct a stemness-based prognostic prediction model.Methods:Based on data of LBC patients aged over 60 from the TCGA-BRCA database, we first applied single-sample gene set enrichment analysis (ssGSEA) using 26 stemness-related gene sets from the StemChecker database to calculate stemness scores for each sample.Subsequently, unsupervised clustering was used to identify stemness-related subtypes in LBC and evaluate prognostic differences between them.Furthermore, we performed weighted gene co-expression network analysis (WGCNA) and LASSO-Cox regression to construct a specific risk score model for LBC patients, which was then external validated in the METABRIC dataset.Results:Based on the analysis of tumor stemness-related gene sets, LBC patients aged over 60 could be further divided into two distinct stemness subtypes: C1 and C2.Among them, the C2 subtype showed a better prognosis ( HR=0.54, 95% CI: 0.30-0.97, P=0.035). Through WGCNA, we successfully identified key gene modules closely associated with stemness subtypes, and subsequently developed a prognostic risk score model for elderly LBC.This model not only accurately predicted survival outcomes of overall elderly LBC patients, but also demonstrated strong prognostic value within molecular subtypes: it effectively distinguished high-and low-risk populations in Luminal A ( HR=0.28, 95% CI: 0.13-0.63, P=0.001) and Luminal B ( HR=0.07, 95% CI: 0.01-0.57, P=0.001) patients. Conclusions:Integrating tumor stemness features can improve the accuracy of prognostic assessment for elderly LBC patients and provide a basis for individualized treatment.The results suggest that the risk score model constructed in this study has potential clinical application value in guiding treatment decisions for this type of elderly LBC patients.

Objective:To evaluate the efficacy and safety of pelvic floor reconstruction using TiLOOP Total 6 mesh combined with perineal body reconstruction and posterior vaginal wall repair in patients with pelvic organ prolapse(POP).Methods:A retrospective analysis was conducted on 52 patients diagnosed with stage Ⅲ-ⅣPOP who underwent surgical intervention at Central Hospital of Wuhan,Tongji Medical College,Huazhong Univer-sity of Science and Technology between January 2022 and March 2023.The perioperative indicators and surgical complications were evaluated.The patient global impression of improvement(PGI-I),subjective and objective cure rates were evaluated.The POP-Q points before and 12 months after surgery were compared.Postoperative quali-ty of life was also assessed.Results:All procedures were successfully completed without intraoperative complica-tions.No intraoperative hematomas or injuries to the bladder and rectum were documented.Mean operative dura-tion was120±18 min,with an intraoperative blood loss of 141±44 ml.Postoperative complications included ve-nous thromboembolism(5.7%,3/52)and moderate-to-severe pain(53.8%,28/52).Until the follow-up period of 12 months,the surgical success rate was 100%.Mesh exposure rate and new stress urinary incontinence rate were 3.8%(2/52).The subjective and objective cure rate were 100%.Furthermore,POP-Q index points at the time of 12 months after operation were significantly improved compared with preoperative(P<0.0001).PFDI-20,PFIQ-7 and PISQ-12 scales were also significantly improved after the operation(P<0.0001).Patient satisfaction,as reflected by PGI-I scores,was unanimously positive.Conclusions:Pelvic floor reconstruction using TiLOOP Total 6 mesh combined with perineal body reconstruction and posterior vaginal wall repair is a safe and effective procedure for patients with advanced-stage POP(Ⅲ-Ⅳ),achieving high patient satisfaction.

Objective:To evaluate the efficacy and safety of pelvic floor reconstruction using TiLOOP Total 6 mesh combined with perineal body reconstruction and posterior vaginal wall repair in patients with pelvic organ prolapse(POP).Methods:A retrospective analysis was conducted on 52 patients diagnosed with stage Ⅲ-ⅣPOP who underwent surgical intervention at Central Hospital of Wuhan,Tongji Medical College,Huazhong Univer-sity of Science and Technology between January 2022 and March 2023.The perioperative indicators and surgical complications were evaluated.The patient global impression of improvement(PGI-I),subjective and objective cure rates were evaluated.The POP-Q points before and 12 months after surgery were compared.Postoperative quali-ty of life was also assessed.Results:All procedures were successfully completed without intraoperative complica-tions.No intraoperative hematomas or injuries to the bladder and rectum were documented.Mean operative dura-tion was120±18 min,with an intraoperative blood loss of 141±44 ml.Postoperative complications included ve-nous thromboembolism(5.7%,3/52)and moderate-to-severe pain(53.8%,28/52).Until the follow-up period of 12 months,the surgical success rate was 100%.Mesh exposure rate and new stress urinary incontinence rate were 3.8%(2/52).The subjective and objective cure rate were 100%.Furthermore,POP-Q index points at the time of 12 months after operation were significantly improved compared with preoperative(P<0.0001).PFDI-20,PFIQ-7 and PISQ-12 scales were also significantly improved after the operation(P<0.0001).Patient satisfaction,as reflected by PGI-I scores,was unanimously positive.Conclusions:Pelvic floor reconstruction using TiLOOP Total 6 mesh combined with perineal body reconstruction and posterior vaginal wall repair is a safe and effective procedure for patients with advanced-stage POP(Ⅲ-Ⅳ),achieving high patient satisfaction.

Objective To observe the value of whole brain CT perfusion(CTP)-derived arterial phase images combined with artificial intelligence iterative reconstruction(AIIR)for evaluating acute ischemic stroke(AIS).Methods Fifty AIS patients were prospectively enrolled,and whole brain CTP followed by routine CT angiography(CTA)were performed.CTP images were reconstructed using AIIR(CTP-AIIR group)and hybrid iterative reconstruction(HIR,CTP-HIR group),respectively,and CTA images were derived from CTP at the arterial phase.Meanwhile,routine CTA images were obtained using HIR(CTA-HIR group).Then image quality was subjectively evaluated with a 5-point scale.The noise of basilar artery trunk,cavernous segment of internal carotid artery,M1 segment of middle cerebral artery and the brain parenchyma were calculated,and signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)of the above 3 arteries were measured.Taken digital subtraction angiography as the reference standard,the accuracy of CTP and CTA for localizing the responsible vessel of AIS was assessed.Results In CTP-AIIR group,the subjective scoring of 4 subjective metrics,including image noise,sharpness of vessel margin,small vessel visibility and overall diagnosability were significantly higher than,the noise of 3 arteries and brain parenchyma were lower than,and SNR and CNR of 3 arteries were higher than those in CTP-HIR group and CTA-HIR group(all P＜0.017).The diagnostic accuracy of responsible vessel based on CTP-AIIR group and CTA-HIR group were both 96.00％ (48/50),not significantly different with that in CTP-HIR group(44/50,88.00％ )(P=0.142).Conclusion Whole brain CTP-derived arterial phase CTA combined with AIIR could achieve comparable image quality and diagnostic performance of routine CTA for evaluating AIS.

Objective To observe the value of whole brain CT perfusion(CTP)-derived arterial phase images combined with artificial intelligence iterative reconstruction(AIIR)for evaluating acute ischemic stroke(AIS).Methods Fifty AIS patients were prospectively enrolled,and whole brain CTP followed by routine CT angiography(CTA)were performed.CTP images were reconstructed using AIIR(CTP-AIIR group)and hybrid iterative reconstruction(HIR,CTP-HIR group),respectively,and CTA images were derived from CTP at the arterial phase.Meanwhile,routine CTA images were obtained using HIR(CTA-HIR group).Then image quality was subjectively evaluated with a 5-point scale.The noise of basilar artery trunk,cavernous segment of internal carotid artery,M1 segment of middle cerebral artery and the brain parenchyma were calculated,and signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)of the above 3 arteries were measured.Taken digital subtraction angiography as the reference standard,the accuracy of CTP and CTA for localizing the responsible vessel of AIS was assessed.Results In CTP-AIIR group,the subjective scoring of 4 subjective metrics,including image noise,sharpness of vessel margin,small vessel visibility and overall diagnosability were significantly higher than,the noise of 3 arteries and brain parenchyma were lower than,and SNR and CNR of 3 arteries were higher than those in CTP-HIR group and CTA-HIR group(all P＜0.017).The diagnostic accuracy of responsible vessel based on CTP-AIIR group and CTA-HIR group were both 96.00％ (48/50),not significantly different with that in CTP-HIR group(44/50,88.00％ )(P=0.142).Conclusion Whole brain CTP-derived arterial phase CTA combined with AIIR could achieve comparable image quality and diagnostic performance of routine CTA for evaluating AIS.

Objective:To explore the stemness characteristics of Luminal-type breast cancer (LBC, based on PAM50 classification) in patients aged over 60, evaluate the association between stemness and prognosis differences in LBC,, and construct a stemness-based prognostic prediction model.Methods:Based on data of LBC patients aged over 60 from the TCGA-BRCA database, we first applied single-sample gene set enrichment analysis (ssGSEA) using 26 stemness-related gene sets from the StemChecker database to calculate stemness scores for each sample.Subsequently, unsupervised clustering was used to identify stemness-related subtypes in LBC and evaluate prognostic differences between them.Furthermore, we performed weighted gene co-expression network analysis (WGCNA) and LASSO-Cox regression to construct a specific risk score model for LBC patients, which was then external validated in the METABRIC dataset.Results:Based on the analysis of tumor stemness-related gene sets, LBC patients aged over 60 could be further divided into two distinct stemness subtypes: C1 and C2.Among them, the C2 subtype showed a better prognosis ( HR=0.54, 95% CI: 0.30-0.97, P=0.035). Through WGCNA, we successfully identified key gene modules closely associated with stemness subtypes, and subsequently developed a prognostic risk score model for elderly LBC.This model not only accurately predicted survival outcomes of overall elderly LBC patients, but also demonstrated strong prognostic value within molecular subtypes: it effectively distinguished high-and low-risk populations in Luminal A ( HR=0.28, 95% CI: 0.13-0.63, P=0.001) and Luminal B ( HR=0.07, 95% CI: 0.01-0.57, P=0.001) patients. Conclusions:Integrating tumor stemness features can improve the accuracy of prognostic assessment for elderly LBC patients and provide a basis for individualized treatment.The results suggest that the risk score model constructed in this study has potential clinical application value in guiding treatment decisions for this type of elderly LBC patients.

Objective To explore the association between green space and the risk of dyslipidemia. Methods ^“Dyslipidemia^” and ^“ Normalized Difference Vegetation Index (NDVI)^” were used as search terms to search PubMed, Embase, and Web of Science databases for studies up to September 2023. ARHQ statistical assessment and review tool and NOS scale were employed to evaluate the quality of the studies. R 4.3.1 software was used for meta-analysis. Results A total of 11 studies were included, of which 5 cross-sectional studies and 5 cohort studies were rated as ^“high quality^”. The results of meta-analysis showed that an increase in NDVI in some buffer zones was associated with reduced risks of hypercholesterolemia, hypertriglyceridemia, low HDL-C, and high LDL-C, while an increase in NDVI in 100m buffer zone was significantly associated with reduced risks of all these four diseases, with hypercholesterolemia (OR=0.87, P<0.05), hypertriglyceridemia (OR=0.94, P<0.05), low HDL-C (OR=0.95, P<0.05), and high LDL-C (OR=0.87, P<0.05). Sensitivity analysis suggested that the results of most meta-analyses were robust. Conclusion With the increase in green space near residential areas, the risk of dyslipidemia may decrease.

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:Comparison with non-elderly patients to analyze the clinicopathological characteristics of elderly female breast cancer(BC)patients and to explore the factors influencing their prognosis.Methods:Data were collected from 86, 064 female BC patients in the National Cancer Institute's Surveillance, Epidemiology, and End Results(SEER)database, spanning from 1975 to 2015.Patients aged 65 and older were classified as the elderly group, while those under 65 were designated as the non-elderly group.The baseline characteristics and clinicopathological differences between the two groups were analyzed using the chi-square test.The Kaplan-Meier method was employed to plot overall survival(OS)and breast cancer-specific survival(BCSS)curves for both groups.Additionally, factors influencing OS and BCSS in elderly BC patients were examined through univariate and multivariate Cox regression analyses.Results:In comparison to the non-elderly group, elderly BC patients exhibited a higher proportion of white individuals, widows, residents from non-metropolitan areas, lower median household income, lower histological grade, and earlier clinical stage.Furthermore, this group demonstrated a greater prevalence of estrogen receptor(ER)and progesterone receptor(PR)positivity, a lower prevalence of human epidermal growth factor receptor 2(HER2)positivity, and fewer individuals received standard treatment(all P<0.001).The prognosis for the elderly group was poorer, characterized by increased risks of all-cause mortality and breast cancer-specific mortality( P<0.001).Multivariate analysis revealed that receiving standard treatment served as a protective factor for both OS and BCSS in elderly patients. Conclusions:In this cohort, elderly breast cancer patients were characterized by an earlier clinical stage, lower histological grade, higher rates of ER and PR positivity, and a lower rate of HER2 positivity.Their OS and BCSS rates were significantly worse than those of the non-elderly group.The analysis indicates that inadequate and non-standard treatment is a major influencing factor, necessitating increased attention from clinicians.

Purpose/Significance To explore the research status,research hotspots and frontiers in the field of clinical decision sup-port based on electronic medical records(EMR).Method/Process The bibliometric method and CiteSpace 6.2.R2 software are used to draw scientific knowledge graph of country/region distribution,author cooperation,institutional cooperation,keyword co-occurrence and clustering for visualized comparative analysis.Python is used for clustering hotspot mining and analysis.Result/Conclusion The field of clinical decision support based on EMR data shows a rapid development trend,with the United States and China as the main research countries and strong cooperation between domestic and foreign institutions.The keywords mainly involve EMR,artificial intelligence(AI),etc.