Breast cancer is a malignant tumor that occurs in the glandular epithelium of the breast, and it is one of the most common tumors that seriously affect the physical and mental health of women. With the aggravation of population aging, the incidence of breast cancer in the elderly has increased year by year in recent years. Elderly patients with breast cancer often have a variety of underlying diseases, and their prognosis is usually related to many factors such as cancer staging, cancer classification, treatment status and health status, with a significant difference in survival rate among patients. Due to the unique clinical and pathological characteristics of elderly patients with breast cancer compared to young and middle-aged patients, there are many studies on the treatment of elderly breast cancer patients in the past, and there are few reviews on the influencing factors of prognosis in elderly patients. This paper reviews the research progress of influencing factors of prognosis in elderly patients with breast cancer from the aspects of clinicopathological factors, treatment options and prognosis factors, in order to provide a reference for clinical determination of treatment options for elderly patients with breast cancer in the future.

Objective: To explore the association of outdoor activity time and sleep duration with screening myopia in primary school students, so as to provide strategies for myopia prevention. Methods: Through a convenience sampling method, a survey was conducted among 4 248 primary school students aged 7-13 years from three primary schools in Xihu District, Nanchang City, Jiangxi Province from May to July, 2023. The average daily outdoor activity time and sleep duration on both weekdays and weekends were investigated in primary school students by using a self designed questionnaire. Uncorrected visual acuity tests and non cycloplegic autorefraction were measured by professional optometrists. Inter group comparisons were conducted using the Chi square test. Logistic regression model was used to analyze the association of outdoor activity time and sleep duration with screening myopia. Results: The detection rate of screening myopia in primary school students was 33.6%, with the rate in boys (32.0%) lower than that in girls (35.3%), and the difference was statistically significant ( χ 2=5.11, P =0.02). The analysis results of Logistic regression showed that after adjusting for factors such as gender, grade and parental education level, both average daily outdoor activity time ＜2 h on both weekdays and weekends ( OR =1.27, 95% CI =1.11-1.46) and sleep duration <10 h ( OR =1.17, 95% CI =1.01- 1.35 ), as well as their combined effect ( OR =1.57, 95% CI =1.25-1.98), were associated with an increased risk of screening myopia in primary school students(all P <0.05). Subgroup analysis results indicated that compared to boys ( OR =1.46, 95% CI = 1.07 -1.99), girls( OR =1.73, 95% CI =1.22-2.44) with insufficient outdoor activity time and sleep duration had a higher risk of screening myopia(both P <0.05). Conclusions There is a negative correlation of outdoor activity time and sleep duration with screening myopia in primary school students. Outdoor activity time and extending sleep duration should be increased to reduce the risk of myopia in primary school students.

OBJECTIVES: Cardiovascular disease (CVD) poses a major threat to global health. Evaluating atherosclerosis in asymptomatic individuals can help identify those at high risk of CVD. This study aims to establish an individualized nomogram prediction model to estimate the risk of vascular plaque formation in asymptomatic individuals. METHODS: A total of 5 655 participants who underwent CVD screening at the Health Management Center of The Third Xiangya Hospital, Central South University, between January 2022 and June 2024 we retrospectively enrolled. Using simple random sampling, participants were divided into a training set (n=4 524) and a validation set (n=1 131) in an 8꞉2 ratio. Demographic and clinical data were collected and compared between groups. Multivariate logistic regression analysis was used to identify independent factors associated with vascular plaques and to construct a nomogram prediction model. The predictive performance and clinical utility of the model were evaluated using receiver operating characteristic (ROC) curves, the Hosmer-Lemeshow goodness-of-fit test, calibration plots, and decision curve analysis (DCA). RESULTS: The mean age of participants was 52 years old. There were 3 400 males (60.12%). The overall detection rate of vascular plaque in the screening population was 49.87% (2 820/5 655). No statistically significant differences were observed in clinical indicators between the training and validation sets (all P>0.05). Multivariate Logistic regression analysis identified age, systolic blood pressure, high-density lipoprotein (HDL), low-density lipoprotein (LDL), lipoprotein(a), male sex, smoking history, hypertension history, and diabetes history as independent risk factors for vascular plaque in asymptomatic individuals (all P<0.05). The area under the curve (AUC) of the nomogram model for predicting vascular plaque risk were 0.778 (95% CI 0.765 to 0.791, P<0.001) in the training set and 0.760 (95% CI 0.732 to 0.787, P<0.001) in the validation set. The Hosmer-Lemeshow goodness-of-fit test indicated good model calibration (training set: P=0.628; validation set: P=0.561). The calibration curve plotted using the Bootstrap method demonstrated good agreement between predicted probabilities and actual probabilities. DCA showed that the nomogram provided a clinical net benefit for predicting vascular plaque risk when the threshold probability ranged from 0.02 to 0.99. CONCLUSIONS The nomogram prediction model for vascular plaque risk, constructed using readily available and cost-effective physical examination indicators, exhibited good predictive performance. This model can assist in the early identification and intervention of asymptomatic individuals at high risk for cardiovascular disease.
Humans ; Male ; Middle Aged ; Female ; Nomograms ; Retrospective Studies ; Risk Factors ; Plaque, Atherosclerotic/diagnosis* ; Aged ; Adult ; Physical Examination ; Logistic Models ; Cardiovascular Diseases/epidemiology* ; ROC Curve

OBJECTIVES: Stress urinary incontinence (SUI) is a common condition among women that severely impairs quality of life. Pelvic floor proprioceptive training (PFPT) has attracted increasing attention for its potential to enhance pelvic floor muscle function and alleviate SUI symptoms. This study aims to observe and compare the clinical efficacy of PFPT combined with electroacupuncture, electrical stimulation, and biofeedback therapy versus conventional therapy consisting of electroacupuncture, electrical stimulation, and biofeedback alone in women with SUI, and to explore the role of PFPT in improving symptom and functional outcomes. METHODS: In this randomized controlled trial, 72 women with mild to moderate SUI were recruited from the Department of Rehabilitation Medicine at Third Xiangya Hospital, Central South University, between December 2021 and October 2023. Participants were randomly assigned to an experimental group (n=36) or a control group (n=36). Both groups received health education. The control group underwent electroacupuncture combined with electrical stimulation and biofeedback therapy, while the experimental group additionally received PFPT 3 times per week for 4 weeks. The primary outcome was assessed using the International Consultation on Incontinence Questionnaire-Short Form (ICIQ-SF). Secondary outcomes included pelvic floor muscle strength, bladder neck mobility, and balance ability. The ICIQ-SF was reassessed at 1, 3, 6, and 12 months post-treatment. RESULTS: Both groups showed statistically significant improvements in all parameters after treatment (all P<0.05). However, there were no statistically significant differences between groups in most measures (all P>0.05). The experimental group demonstrated longer single-leg stance duration with eyes closed than the control group (left leg: P=0.026; right leg: P=0.006), with a significant increase from baseline (P<0.001). At 6 months post-treatment, the cure rate in the experimental group was significantly higher than that in the control group (P=0.037). CONCLUSIONS Conventional therapy effectively improves SUI symptoms, but adding PFPT provides notable additional benefits, including enhanced balance ability and sustained mid-term cure rates. These findings suggest that PFPT is a valuable adjunct to standard SUI management strategies.
Humans ; Female ; Urinary Incontinence, Stress/physiopathology* ; Pelvic Floor/physiopathology* ; Middle Aged ; Biofeedback, Psychology ; Adult ; Exercise Therapy/methods* ; Proprioception ; Electroacupuncture/methods* ; Quality of Life ; Electric Stimulation Therapy/methods* ; Treatment Outcome ; Combined Modality Therapy

Ferroptosis has received great attention as an iron-dependent programmed cell death for efficient cancer therapy. However, with the accumulation of iron in tumor cells, the antioxidant system is activated by reducing glutathione (GSH) with glutathione peroxidase 4 (GPX4), which critically limits the ferroptosis therapeutic effect. Herein, an iron and GPX4 silencing siRNA (siGPX4) co-encapsulated ferritin nanocage (HFn@Fe/siGPX4) was developed to enhance ferroptosis by disruption of redox homeostasis and inhibition of antioxidant enzyme synergistically. The siGPX4 were loaded into the nanocages by pre-incubated with iron, which could significantly improve the loading efficiency of the gene drugs when compared with the reported gene drug loading strategy by ferritin nanocages. And more iron was overloaded into the ferritin through the diffusion method. When HFn@Fe/siGPX4 was taken up by human breast cancer cell MCF-7 in a TfR1-mediated pathway, the excess iron ions in the drug delivery system could for one thing induce ferroptosis by the production of reactive oxygen species (ROS), for another promote siGPX4 escaping from the lysosome to exert gene silencing effect more effectively. Both the in vitro and in vivo results demonstrated that HFn@Fe/siGPX4 could significantly inhibit tumor growth by synergistical ferroptosis. Thus, the developed HFn@Fe/siGPX4 afforded a combined ferroptosis strategy for ferroptosis-based antitumor as well as a novel and efficient gene drug delivery system.

Mutations in ion channel genes have long been implicated in a spectrum of epilepsy syndromes. However, therapeutic decision-making is relatively complex for epilepsies associated with channelopathy. Therefore, in the present study, we used a patient-derived organoid model with a novel SCN2A mutation (p.E512K) to investigate the potential of utilizing such a model as a platform for preclinical testing of anti-seizure compounds. The electrophysiological properties of the variant Nav1.2 exhibited gain-of-function effects with increased current amplitude and premature activation. Immunofluorescence staining of patient-derived cortical organoids (COs) displayed normal neurodevelopment. Multielectrode array (MEA) recordings of patient-derived COs showed hyperexcitability with increased spiking and remarkable network bursts. Moreover, the application of patient-derived COs for preclinical drug testing using the MEA showed that they exhibit differential responses to various anti-seizure drugs and respond well to carbamazepine. Our results demonstrate that the individualized organoids have the potential to serve as a platform for preclinical pharmacological assessment.
Organoids/physiology* ; NAV1.2 Voltage-Gated Sodium Channel/genetics* ; Humans ; Anticonvulsants/pharmacology* ; Epilepsy/drug therapy* ; Mutation ; Cerebral Cortex/drug effects* ; Action Potentials/drug effects* ; Carbamazepine/pharmacology*

Objective:To explore the mechanism of TLR4/ERK1/2 signaling pathway in progesterone regulating expression of IL-8 in decidual stromal cells(DSCs).Methods:Human DSCs on early pregnancy were isolated and cultured in vitro.The cells were treated with 0.01 μmol/L,0.1 μmol/L and 1 μmol/L progesterone,respectively.Expressions of IL-8,TLR4,ERK1/2 and p-ERK1/2 were detected by Western blot.TLR4 inhibitor TAK-242 and ERK1/2 inhibitor U0126 were further treated,and expression of IL-8 in progesteron+inhibitor group,progesterone group and control group was detected by Western blot.Results:With the increase of pro-gesterone concentration,expression of IL-8 in DSCs decreased gradually.Expressions of DSCs IL-8,TLR4 and p-ERK1/2 in 0.01 μmol/L progesterone group were lower than those in control group(P=0.035 8,P=0.019 4 and P=0.047 1).Expressions of IL-8,TLR4 and p-ERK1/2 in DSCs in 0.1 μmol/L progesterone group were significantly lower than those in control group(P=0.003 5,P=0.004 0 and P=0.009 9).Expressions of IL-8,TLR4 and p-ERK1/2 in DSCs in 1 μmol/L progesterone group were significantly lower than those in control group(P=0.003 3,P=0.001 6 and P=0.005 0).Expression of IL-8 in progesterone+TAK-242 group was signifi-cantly lower than that in progesterone group(P=0.009 1),and expression of IL-8 in progesterone+U0126 group was significantly lower than that in progesterone group(P=0.004).Conclusion:TLR4/ERK1/2 signaling pathway is involved in the physiological process of progesterone regulating expression of IL-8 in DSCs,and progesterone reduces IL-8 expression by inhibiting expression of TLR4 and phosphorylation activation of ERK1/2.

Objective To observe value of real-time functional MRI neurofeedback(rtfMRI-NF)for modulating brain activity changes in obese adults.Methods Twenty-two obese adults were prospectively recruited,3-week rtfMRI-NF training intervention was conducted.Barratt impulsivityness scale version 11(BIS-11),three-factor eating questionnaire(TFEQ)and food rating scales were scored before and after intervention,and whole-brain resting state fMRI(rs-fMRI)data were obtained.Clinical scale scores,rs-fMRI regional homogeneity(ReHo)values and amplitude of low frequency fluctuation(ALFF)values were compared before and after intervention.Then brain regions with differences of ReHo and ALFF values before and after intervention were explored,and correlations of values of rs-fMRI data differences and clinical scale score differences were analyzed.Results BIS-11 score,TFEQ emotional eating(TFEQ-EE)score and food rating scales scores decreased,while TFEQ cognitive restraint(TFEQ-CR)scores increased in obese adults after intervention(all P＜0.05).ReHo values in right inferior frontal gyrus,right anterior cingulate and left precuneus increased,while of left middle temporal gyrus decreased(all corrected P＜0.05).ALFF values of left precuneus increased,whereas of left middle occipital gyrus,right superior occipital gyrus,left calcarine fissure and surrounding cortex and left supramarginal and angular gyrus decreased(all corrected P＜0.05).ReHo difference in right anterior cingulate was negatively correlated with BIS-11 scores difference(r=-0.601,P＜0.05),and ALFF difference in left precuneus was negatively correlated with TFEQ-EE difference(r=-0.478,P＜0.05).Conclusion rtfMRI-NF intervention could correct disorder of cerebral functional areas in obese adults and change high-calorie food preference and poor dietary habits.

Objective:To construct a predictive model for mortality in patients with multiple trauma combined with thoracic injuries and evaluate its predictive value.Methods:A retrospective cohort study was conducted to analyze the clinical data of 184 patients with multiple trauma combined with thoracic injuries admitted to the International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine from April 2019 to December 2023, including 129 males and 55 females, aged 19-85 years [(46.1±13.7)years]. According to the prognostic outcomes at 3-month follow-up after discharge, the patients were divided into survival group ( n=145) and death group ( n=39). Data were recorded in both groups at admission, including gender, age, and cause of injury, laboratory tests such as systolic blood pressure, oxygen saturation (SaO 2), hemoglobin (Hb), neutrophil-to-lymphocyte ratio (NLR), and lactate, combined injuries such as the number of combined injuries, number of rib fracture, bilateral rib fracture, first-rib fracture, sternum fracture, thoracic vertebral fracture, bilateral pulmonary contusion, bilateral pneumothorax, subarachnoid hemorrhage, subdural hematoma, epidural hematoma, skull fracture, skull base fracture, cervical vertebral fracture, brain herniation, cerebral contusion, lumbar vertebral fracture, pelvic and abdominal cavity hematoma, liver injury, kidney injury, spleen injury, clavicle fracture, scapular fracture, femoral fracture, and pelvic fracture, and injury scores such as shock index (SI), modified shock index (MSI), injury severity score (ISS), revised trauma score (RTS), Glasgow coma score (GCS), and thoracic trauma severity (TTS) score. Univariate binary logistic regression analysis was used to screen for risk factors of death in patients with multiple trauma combined with thoracic injuries. LASSO regression and multivariate logistic regression analysis were employed to identify predictive variables and independent risk factors for mortality in those patients and to construct a regression equation. A nomogram prediction model based on the regression equation was developed using R language. Receiver operating characteristic (ROC) curves were plotted to evaluate the discrimination of the model. The ROC curves were internally validated using the Bootstrap method with 1 000 resamples. The calibration of the model was assessed using the Hosmer-Lemeshow (H-L) goodness-of-fit test. The clinical application value of the model was evaluated using decision curve analysis (DCA) and clinical impact curve (CIC) analysis. Results:There were statistically significant differences between the survival group and the death group in systolic blood pressure, SaO 2, NLR, lactate, number of combined injuries, subarachnoid hemorrhage, subdural hematoma, skull fracture, skull base fracture, brain herniation, liver injury, SI, MSI, ISS, RTS, GCS, and TTS ( P<0.05 or 0.01). The results of the univariate binary logistic regression analysis showed that the above-mentioned related variables except for systolic blood pressure were all significantly associated with death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Five predictive variables, TTS, GCS, brain herniation, ISS, and lactate were obtained in LASSO regression analysis. The results of the multivariate logistic regression analysis showed that GCS ( OR=0.70, 95% CI 0.58, 0.83), brain herniation ( OR=46.18, 95% CI 4.27, 499.26), TTS ( OR=1.71, 95% CI 1.30, 2.24), and lactate ( OR=1.35, 95% CI 1.01, 1.80) were independent risk factors for death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Based on the aforementioned independent risk factors, a regression formula was constructed as follows: P=e x/(1+e x), with the x=-0.36×"GCS"+3.83×"brain herniation"+0.53×"TTS"+0.30×"lactate levels"-11.03. The area under the ROC curve (AUC) of the predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on the equation was 0.97 (95% CI 0.93, 1.00). The AUC was internally validated using the Bootstrap method with 1 000 samples, resulting in an AUC of 0.97 (95% CI 0.91, 1.00). The results of the H-L goodness-of-fit test showed that the bias-corrected calibration curve of the model was in good consistence with the actual curve and both of them were close to the ideal curve. In the evaluation of the clinical application value of the predictive model, the DCA results showed that the predictive model could achieve good clinical net benefit. The CIC results showed that when the threshold probability was greater than 0.7, the model-identified high-risk patients for death highly matched the patients who actually died. Conclusion:The predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on GCS, brain herniation, TTS, and lactate has good predictive performance and clinical application value.

Objective To explore the value of serum Annexin A2(ANXA2),vasohibin-1(VASH1)and caveolin-1(CAV-1)in evaluating pregnancy outcomes in patients with hypertensive disorders of pregnancy(HDP).Methods From June 2020 to April 2023,125 patients with HDP admitted to Qingdao Women's and Children's Hospital were regarded as the research group,according to the pregnancy outcomes,they were separated into a good pregnancy outcome group(n=77)and a poor pregnancy outcome group(n=48).In addition,100 normal pregnant women who underwent pregnancy tests during the same period were regarded as the control group.Enzyme-linked immunosorbent assay(ELISA)was used to detect serum levels of ANXA2,VASH1,and CAV-1.Binary logistic regression was used to analyze the influencing factors of pregnancy outcomes in pregnant women with HDP,and receiver operating characteristic(ROC)curves were drawn to analyze the diagnostic value of serum ANXA2,VASH1,and CAV-1 in the diagnosis of HDP patients pregnancy outcome.Correlation of serum ANXA2,VASH1 and CAV-1 with 24-h urine protein content and blood pressure indices analyzed by Pearson's method.Results Compared with the healthy group,the serum ANXA2(353.19±37.31 μg/L vs 415.32±42.65 μg/L)and CAV-1(6.05±0.64 μg/L vs 6.89±0.73 μg/L)levels in the case group were greatly reduced(t=11.644,9.188),while VASH1(615.48±62.46 ng/L vs 528.63±54.39 ng/L)level was greatly increased(t=10.969),and the differences were statistically significant(all P<0.05).The serum NXA2(322.54±34.24 μg/L vs 372.29±39.23 μg/L)and CAV-1(5.56±0.59 μg/L vs 6.38±0.67 μg/L)levels in poor pregnancy outcomes group were greatly lower than those in good pregnancy outcomes group(t=7.323,6.706),while VASH1(660.29±67.34 ng/L vs 587.56±59.42 ng/L)level was greatly higher(t=6.321),and the differences were statistically significant(all P<0.05).24h urine protein level,VASH1 were risk factors affecting adverse pregnancy outcomes in patients with HDP(P<0.05),serum ANXA2 and CAV-1 were protective factors affecting adverse pregnancy outcomes in patients with HDP,and the differences were statistically significant(P<0.05).ROC curve results showed that the Area under the curve(AUC)of ANXA2,VASH1,CAV-1,and their combination in predicting pregnancy outcomes in HDP patients was 0.809,0.747,0.775 and 0.909,respectively.The AUC predicted by the combination of ANXA2,VASH1,and CAV-1 were greatly better than those predicted by ANXA2,VASH1 and CAV-1 alone(Z=2.720,3.334,3.320,all P＜0.05).ANXA2,VASH1 was negatively correlated with 24h urine protein level and systolic and diastolic blood pressure(r=-0.435～-0.406,all P<0.05),and CAV-1 was positively correlated with 24h urine protein level and systolic and diastolic blood pressure(r=0.428,0.409,0.421,P<0.05).Conclusion The serum ANXA2 and CAV-1 levels in HDP patients decreased,while Ang1 level increased,which has certain auxiliary predictive value for the diagnosis of HDP and the evaluation of pregnancy outcomes.