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.

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 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.

OBJECTIVE: To evaluate the effectiveness of limited internal fixation combined with a hinged external fixator in the treatment of peri-elbow bone infection. METHODS: The clinical data of 19 patients with peri-elbow bone infection treated with limited internal fixation combined with a hinged external fixator between May 2018 and May 2021 were retrospectively analyzed. There were 15 males and 4 females with an average age of 44.6 years (range, 28-61 years). There were 13 cases of distal humerus fractures and 6 cases of proximal ulna fractures. All the 19 cases were infected after internal fixation of fracture, and 2 cases were complicated with radial nerve injury. According to Cierny-Mader anatomical classification, 11 cases were type Ⅱ, 6 cases were type Ⅲ, and 2 cases were type Ⅳ. The duration of bone infection was 1-3 years. After primary debridement, the bone defect was (3.04±0.28) cm, and the antibiotic bone cement was implanted into the defect area, and the external fixator was installed; 3 cases were repaired with latissimus dorsi myocutaneous flap, and 2 cases were repaired with lateral brachial fascial flap. Bone defects repair and reconstruction were performed after 6-8 weeks of infection control. The wound healing was observed, and white blood cell (WBC), erythrocyte sedimentation rate (ESR), and C-reaction protein (CRP) were reexamined regularly after operation to evaluate the infection control. X-ray films of the affected limb were taken regularly after operation to observe the bone healing in the defect area. At last follow-up, the flexion and extension range of motion and the total range of motion of the elbow joint were observed and recorded, and compared with those before operation, and the function of the elbow joint was evaluated by Mayo score. RESULTS: All patients were followed up 12-34 months (mean, 26.2 months). The wounds healed in 5 cases after skin flap repair. Two cases of recurrent infection were effectively controlled by debridement again and replacement of antibiotic bone cement. The infection control rate was 89.47% (17/19) in the first stage. Two patients with radial nerve injury had poor muscle strength of the affected limb, and the muscle strength of the affected limb recovered from grade Ⅲ to about grade Ⅳ after rehabilitation exercise. During the follow-up period, there was no complication such as incision ulceration, exudation, bone nonunion, infection recurrence, or infection in the bone harvesting area. Bone healing time ranged from 16 to 37 weeks, with an average of 24.2 weeks. WBC, ESR, CRP, PCT, and elbow flexion, extension, and total range of motions significantly improved at last follow-up ( P<0.05). According to Mayo elbow scoring system, the results were excellent in 14 cases, good in 3 cases, and fair in 2 cases, and the excellent and good rate was 89.47%. CONCLUSION Limited internal fixation combined with a hinged external fixator in the treatment of the peri-elbow bone infection can effectively control infection and restore the function of the elbow joint.
Male ; Female ; Humans ; Adult ; Elbow ; Elbow Joint/surgery* ; Retrospective Studies ; Bone Cements ; Treatment Outcome ; External Fixators ; Fracture Fixation, Internal/methods* ; Fractures, Bone ; Range of Motion, Articular

Massive transfusion protocol (MTP) is a programmatic procedure for massive blood transfusions, which is an important means of patient blood management (PBM) for trauma and massive hemorrhage patients. MTP can be initiated in a variety of modes, including the McLaughlin, ABC and TASH scoring systems and the mode depending on the patient′s hemorheology. After MTP has been activated, blood components should be injected as soon as possible. Generally, red blood cells should be injected first, followed by plasma and platelets injected proportionally. MTP should be based on good damage control measures and good hemostatic treatment, and should try to avoid the waste of blood components.This article reviews the progress of research on MTP in the above aspects.

Objective:To evaluate the diagnostic capabilities of PCR-flow Fluorescence Hybridization technology in prenatal genetic diagnosis of thalassemia.Methods:8 005 cases of prenatal genetic diagnosis of thalassemia in Guangdong Women and Children Hospital from September 2017 to December 2020 were retrospectively analyzed. All samples were diagnosed by traditional genetic methods include multiple Gap-PCR, PCR-RDB, MLPA and Sanger sequencing. Meanwhile, PCR-flow Fluorescence Hybridization technology was used as a verification platform for detecting common mutation sites of thalassemia. The results were analyzed to evaluate the diagnostic capabilities of PCR-flow Fluorescence Hybridization technology compared with traditional methods in prenatal genetic diagnosis of thalassemia.Results:By traditional methods, 1 939 cases (24.22%, 1 939/8 005) were normal and 6 066 cases (75.78%, 6 066/8 005) were diagnosed as thalassemia, including 4 513 cases of α-thalassemia, 1 475 cases of β-thalassemia, and 78 cases of αβ-thalassemia. By PCR-flow Fluorescence Hybridization technology, 7 845 samples were successfully diagnosed after initial interpretation by software. Compared with traditional methods, all the sensitivity, specificity and accuracy were 100%. The other 160 samples which failed in the initial interpretation can be successfully interpreted after review or manual interpretation.Conclusion:There were no differences between the two methods on the detecting of common mutation sites of thalassemia.

As a fluorinated hydrocarbon anesthetic, methoxyflurane may cause serious adverse reactions such as renal damage under anesthetic doses, but its analgesic effect at sub-anaesthetic doses is safe, high tolerability, and short-term acute Good choice for analgesia. This article describes the pharmacokinetics, clinical validity, adverse reactions and clinical application of methoxyflurane, and explores the feasibility of methoxyflurane as an analgesic in clinical application. Methoxyflurane is convenient to use as an inhaled analgesic. It can provide patients with emergency analgesia without intravenous administration. It is a good choice for emergency analgesia in pre-hospital and emergency settings.

Objective:To develop a single-tube one-step multiplex nested real-time reverse transcription polymerase chain reaction (RT-PCR) assay for the simultaneous detection of 2019-nCoV, influenza A virus, influenza B virus and internal-control with human-derived gene.Methods:This study included 30 positive specimens for 2019-nCoV nucleic acid detection and 336 screening specimens collected from the arrivals at Guangzhou Baiyun Airport between February 2020 and February 2022. Sixty-four positive specimens of other respiratory pathogens were also collected from the arrivals at Guangzhou Baiyun Airport during the three-year period before the occurrence of COVID19 outbreak in 2020, and 7 positive viral strains of respiratory pathogens were provided by collaborative laboratories. In order to establish a set of multiplex nested real-time RT-PCR assay, a group of primers and probe combinations for a multiplex nested real-time RT-PCR was designed and screened according to a selection of nucleotide conserved regions of the ORF and N genes of 2019-nCoV and the M gene of influenza A and B viruses, while nested amplification primers and probe for the internal-control with human-derived gene were introduced. Then the prepared pseudovirus-positive quality control and sample discs were applied to evaluate the sensitivity and specificity. Clinical specimens were performed to validate the applicability of the method.Results:The results show that the established one-step multiplex nested real-time RT-PCR assay can specifically detect 2019-nCoV and influenza A and B viruses, with the limit-of-detection of about 125 copies/ml for 2019-nCoV and about 250 copies/ml for influenza A and B viruses. Totally 101 positive samples of various respiratory pathogens were detected, showing that the detection sensitivities of 2019-nCoV and influenza A and B viruses were 96.67%, 92.86% and 96.15%, respectively, with the specificity of 100%. No false-positive detection was found in the applied detection of more than 300 clinical samples.Conclusions:A one-step multiplex nested real-time RT-PCR assay for 2019-nCoV, influenza A and B viruses and human-derived gene internal-control was developed. The assay has good sensitivity and specificity and can be used for rapid screening of 2019-nCoV and influenza A and B viruses in high-volume samples.

In order to quantitatively analyze the morphology and period of pulse signals, a time-space analytical modeling and quantitative analysis method for pulse signals were proposed. Firstly, according to the production mechanism of the pulse signal, the pulse space-time analytical model was built after integrating the period and baseline of pulse signal into the analytical model, and the model mathematical expression and its 12 parameters were obtained for pulse wave quantification. Then, the model parameters estimation process based on the actual pulse signal was presented, and the optimization method, constraints and boundary conditions in parameter estimation were given. The spatial-temporal analytical modeling method was applied to the pulse waves of healthy subjects from the international standard physiological signal sub-database Fantasia of the PhysioNet in open-source, and we derived some changes in heartbeat rhythm and hemodynamic generated by aging and gender difference from the analytical models. The model parameters were employed as the input of some machine learning methods, e.g. random forest and probabilistic neural network, to classify the pulse waves by age and gender, and the results showed that random forest has the best classification performance with Kappa coefficients over 98%. Therefore, the space-time analytical modeling method proposed in this study can effectively quantify and analyze the pulse signal, which provides a theoretical basis and technical framework for some related applications based on pulse signals.