Objective: To investigate the current status and influencing factors for cognitive frailty among the elderly in community, so as to provide the evidence for early identification and prevention of cognitive frailty among the elderly. Methods: Residents aged 60 years and above with local household registration from 11 counties (cities, districts) in Zhejiang Province from 2021 to 2023 were selected as study participants using a multistage random sampling method. Demographic information, lifestyle, and health status were collected through questionnaire surveys. Depressive symptoms were assessed using the Patient Health Questionnaire. Cognitive frailty was evaluated using the FRAIL Scale and the Mini-Mental State Examination. Factors affecting cognitive frailty among the elderly in community were identified using a multivariable logistic regression model. Results: A total of 16 613 individuals were surveyed, including 7 465 males (44.93%) and 9 148 females (55.07%). The average age was (70.97±7.29) years. A total of 784 individuals were detected with depressive symptoms, with a detection rate of 4.72%. A total of 724 individuals were detected with cognitive frailty, with a detection rate of 4.36%. Multivariable logistic regression analysis showed that females (OR=1.419, 95%CI: 1.179-1.708), aged ≥70 years (70-<80 years old, OR=1.869, 95%CI: 1.490-2.345; ≥80 years old, OR=5.017, 95%CI: 3.935-6.398), without a spouse (OR=1.495, 95%CI: 1.234-1.810), sedentary (OR=2.420, 95%CI: 1.829-3.202), chronic diseases (1 type, OR=1.456, 95%CI: 1.175-1.804; ≥2 types, OR=1.639, 95%CI: 1.314-2.045), and depressive symptoms (OR=4.191, 95%CI: 3.361-5.225) were associated with a higher risk of cognitive frailty among the elderly in community. Conversely, a lower risk of cognitive frailty was seen among the elderly in community who had primary school or above (primary school, OR=0.512, 95%CI: 0.389-0.676; junior high school or above, OR=0.464, 95%CI: 0.354-0.608), engaged in physical exercise (OR=0.396, 95%CI: 0.291-0.539), and were reported average or good self-rated health status (average, OR=0.641, 95%CI: 0.475-0.866; good, OR=0.150, 95%CI: 0.109-0.208). Conclusions The detection rate of cognitive frailty among the elderly in community is relatively low and is influenced by demographic factors such as gender, age, education level, as well as lifestyle like sedentary and physical exercise, and health status. It is recommended to reduce the risk of cognitive frailty among the elderly through multidimensional interventions, including health education, promotion of healthy lifestyles, and enhanced mental health support.

Objective: To establish a nomogram prediction model for Alzheimer's disease (AD) among the elderly in community, so as to provide the evidence for early screening and prevention of AD. Methods: Based on the Zhejiang Healthy Aging Cohort Study, the elderly aged 60-90 years who completed the baseline survey were selected as the study subjects. Follow-up surveys were conducted from 2015 to 2016 and from 2019 to 2021. Sociodemographic characteristics, lifestyle factors, medical history, and waist circumference were collected through questionnaire surveys and physical examinations. Cognitive function was assessed using the Mini-Mental State Examination (MMSE), and a diagnosis of AD was made based on the Alzheimer's Disease Assessment Scale-Cognitive Subscale and medical history. The participants were randomly divided into training and validation sets at 8∶2 ratio. LASSO regression was used to screen for predictive factors. Multivariable logistic regression model was used to analyze predictive factors and construct a nomogram. The model was analyzed and evaluated using the receiver operating characteristic (ROC) curve and decision curve analysis (DCA). Results: A total of 6 988 elderly were included at baseline, with a mean age of (68.19±6.63) years. There were 3 438 males (49.20%), and 3 550 females (50.80%). The median follow-up duration was 4.90 (interquartile range, 3.80) years, with 817 new cases of AD were identified, yielding an incidence of 11.69%. LASSO regression and multivariable logistic regression showed that age (OR=1.017, 95%CI: 1.005-1.030), gender (female, OR=1.820, 95%CI: 1.533-2.165), educational level (primary school, OR=0.813, 95%CI: 0.673-0.980), physical exercise (not active, OR=1.572, 95%CI: 1.260-1.980), dining companions (spouse and children, OR=0.771, 95%CI: 0.598-0.995), baseline MMSE score (OR=0.843, 95%CI: 0.821-0.866), and waist circumference (OR=0.981, 95%CI: 0.973-0.989) were risk predictors for AD among the elderly in community. The prediction model demonstrated an area under the ROC curve of 0.740 (95%CI: 0.698-0.783) in the validation set, with a sensitivity of 0.731 and a specificity of 0.667. DCA indicated that when the probability threshold was 0.060 to 0.325, the clinical net benefit was relatively high. Conclusion The AD risk prediction model constructed in this study has good discrimination and clinical practicability, can be used for early screening of AD among the elderly in the community.

Through a comprehensive analysis combining network pharmacology prediction and transcriptomics, this study systematically explained the multi-target mechanism of Cyanotis arachnoidea(CA) Gel in improving melasma. A melasma model was induced in female SD rats by progesterone injection combined with ultraviolet B(UVB) irradiation for 40 consecutive days, while the blank control group was only fed routinely. After successful model establishment, the rats were randomly divided into five groups and administered different doses of CA ethanol extract gel(high, medium, and low doses) or arbutin Gel(positive control), which were applied once daily for 28 consecutive days. Subsequently, the levels of superoxide dismutase(SOD), malondialdehyde(MDA), and tyrosinase(TYR) in the skin, serum, and liver tissues were measured. Hematoxylin-eosin(HE) staining and Masson-Fontana staining were used to observe the pathological changes in the tissues. Network pharmacology combined with transcriptomics was employed to identify core targets and pathways, and the differential gene expression was validated by quantitative real-time PCR(qPCR). Pharmacodynamic experiments showed that CA Gel significantly increased SOD activity and decreased MDA and TYR levels in the skin, serum, and liver of model rats. It also improved epidermal thickening, inflammatory infiltration, collagen loss, and melanin deposition. Network pharmacology analysis showed that CA mainly regulated core targets such as signal transducer and activator of transcription 3(STAT3), epidermal growth factor receptor(EGFR), and interleukin-6(IL-6), and modulated the phosphatidylinositol 3-kinase(PI3K)-protein kinase B(AKT) and interleukin-17(IL-17) signaling pathways. Transcriptomic analysis showed that CA Gel significantly downregulated the gene expression of heat shock protein 90β family member 1(Hsp90b1), heat shock protein 90α family member 1(Hsp90aa1), and the key steroid synthesis enzyme cytochrome P450 family 17 subfamily A member 1(Cyp17a1), while upregulating thioredoxin 1(Txn1). qPCR results confirmed that CA Gel regulated oxidative stress and inflammatory response by inhibiting the IL-17 signaling pathway and steroid hormone synthesis. This study, for the first time, reveals the molecular mechanism of CA Gel in improving melasma through multi-target synergistic regulation of oxidative stress, inflammatory response, and hormone metabolism pathways, providing a scientific basis for the treatment of pigmentation diseases with traditional Chinese medicine.
Animals ; Rats ; Female ; Rats, Sprague-Dawley ; Network Pharmacology ; Drugs, Chinese Herbal/administration & dosage* ; Melanosis/metabolism* ; Transcriptome/drug effects* ; Humans ; Superoxide Dismutase/genetics* ; Signal Transduction/drug effects* ; Malondialdehyde/metabolism*

OBJECTIVE: To explore the clinical efficacy and safety of the "Three-Step Nine-Method Lumbar Correction" combined with physical therapy in the treatment of patients with degenerative lumbar spondylolisthesis(DLS). METHODS: From January 2021 to December 2021, 72 patients diagnosed with DLS were enrolled and divided into the Three-Step Nine-Method Lumbar Correction group and the pelvic traction group, with 36 cases in each group. In the Three-Step Nine-Method Lumbar Correction group, there were 15 males and 21 females;aged 54 to 66 years old, with an average of (59.07±5.69) years old;the course of disease was 14 to 26 years old, with an average of (20.35±5.66) years old. They were treated with the Three-Step Nine-Method Lumbar Correction combined with low-frequency physical therapy, 3 times a week, for a 4-week course. In the pelvic traction group, there were 12 males and 24 females;aged 54 to 66 years old, with an average of (59.69±5.59) years old;the course of disease was 13 to 26 years old, with an average of (19.74±5.80) years old. They were treated with pelvic traction combined with low-frequency physical therapy. Efficacy evaluation was conducted using the visual analogue scale(VAS), Oswestry disability index(ODI), Japanese Orthopaedic Association (JOA) score, and Short Form 36 Health Survey (SF-36) before treatment, after 2 and 4 weeks of treatment, and at the 8-week follow-up after the end of treatment. In addition, imaging parameters of paravertebral muscles were evaluated before treatment and at the completion of treatment. RESULTS: All 72 patients completed the follow-up for 8 weeks. At the 8-week follow-up after the end of treatment, in the Three-Step Nine-Method Lumbar Correction group, the VAS score for low back pain decreased from (6.25±1.23) points before treatment to (1.25±0.65) points, with a statistically significant difference (P<0.05);the ODI decreased from (57.17±7.13)% before treatment to (19.89±5.66)%, with a statistically significant difference (P<0.05);the JOA score and SF-36 score increased from (15.46±3.20) points and (35.25±9.28) points before treatment to (23.75±2.10) points and (62.31±13.03) points, respectively, with statistically significant differences (P<0.05). The improvement of each index in the Three-Step Nine-Method Lumbar Correction group was better than that in the pelvic traction group (P<0.05), but the change in imaging parameters was not significant (P>0.05). There was no statistically significant difference in the incidence of adverse reactions between the two groups (P>0.05), and no serious adverse events occurred. CONCLUSION The Three-Step Nine-Method Lumbar Correction combined with physical therapy has a definite efficacy in the treatment of DLS. It can significantly relieve pain symptoms, improve physical function and patients' quality of life. Its effect is better than that of pelvic traction combined with physical therapy, and it has high safety. However, its improvement on paravertebral muscles is not obvious.
Humans ; Male ; Female ; Middle Aged ; Spondylolisthesis/physiopathology* ; Aged ; Prospective Studies ; Lumbar Vertebrae/physiopathology* ; Physical Therapy Modalities ; Adult

Objective To establish a nomogram model for efficiently predicting overall survival(OS)and cancer-specific survival(CSS)in patients with CRCHBM.Method 2239 patients from 2010 to 2019 were retrospectively analyzed from the Surveillance,Epidemiology,and End Results Program(SEER)databases and Wuhan Union Hospital Cancer Center.SEER is randomly assigned to the training and internal validation cohorts,and the Wuhan database serves as the external validation.Cox regression analyses were used to determine the independent clinicopathological prognosis factors affecting OS and CSS,and a nomogram was constructed to predict OS and CSS.The clinical utility of columnar plots was assessed using calibration curves,area under the curve(AUC),and decision curve analysis(DCA).Result OS column line graphs were constructed based on nine independent predictors:age,tumor location,degree of differentiation,tumor size,TNM stage,chemotherapy,primary focus surgery,number of lymph nodes sampled,and serum carcinoembryonic antigen(CEA)level.The C-index of the nomogram to predict the 1-,3-,and 5-year OS were 0.764,0.790,and 0.805 in the training group,0.754,0.760,and 0.801 in the internal validation group,and 0.822,0.874,and 0.906 in the external validation group.CSS column line graphs were constructed based on 3 independent predictors of TNM staging,radiotherapy and chemotherapy.The 1-,3-,and 5-year CSS AUROC values of the training group were 0.791,0.757,and 0.782,respectively.0.682,0.709,0.625 in the internal validation group and 0.759,0.702,0.755 in the external validation group,respectively.The results of receiver operating characteristic curve(ROC),ROC and DCA showed that the use of our model was more effective in predicting OS and CSS than other single clinicopathological features.Conclusion In summary,the nomogram based on significant clinicopathological features can be conveniently used to predict OS and CSS individually in patients with CRCHBM.

In response to the challenge posed by the significant shape and scale variations of tumors and organs in three-dimensional medical images,which often results in low segmentation accuracy,an end-to-end three-dimensional fully convolutional segmentation model is introduced.A dilated cubic integration module is designed to achieve multi-scale integration at different resolution stages,thereby enhancing the recognition capability on complex boundaries.Subsequently,a cross-stage context fusion module is incorporated to merge shallow and deep features,thereby facilitating convergence and more precise localization of the target objects.Finally,features from the encoder are concatenated by the decoder to realize segmentation.The average Dice similarity coefficients reach 85.37%on the brain tumor segmentation dataset and 83.99%on the abdominal organ segmentation dataset.Experimental results indicate that the proposed model exhibits high accuracy in three-dimensional tumor and organ segmentation.

Hypertension heightens the risk of cardiovascular and renal complications in individuals with type 2 diabetes mellitus. Optimal blood pressure (BP) management is crucial for preventing these complications. This review consolidates evidence from clinical trials and major BP management guidelines to shed light on key aspects of hypertension management in diabetes. It addresses BP thresholds to initiate antihypertensive treatment, optimal BP control targets, recommended first-line antihypertensive edications, and BP monitoring plan for the prevention of chronic complications in type 2 diabetes.

Objective To observe the therapeutic effect of allogeneic hematopoietic stem cell transplantation (allo-HSCT) on acute myeloid leukemia (AML) and analyze the influencing factors of survival prognosis. Methods The clinical data of 32 AML patients who underwent allo-HSCT treatment were retrospectively analyzed. The hematopoietic reconstitution, occurrence of graft-versus-host disease (GVHD), survival status, recurrence, and transplantation-related mortality (TRM) of patients were observed, and the influencing factors of survival prognosis were analyzed. Results All 32 AML patients who underwent allo-HSCT achieved granulocyte reconstitution, with a time range of 10 to 26 days and a median time of 11.0 days. Granulocyte-macrophage lineage reconstitution was achieved in 30 patients, with a time range of 10 to 54 days and a median time of 13.5 days. Among the 30 evaluable patients, 10 developed acute GVHD (with incidence rate of 33.33%) and 10 developed chronic GVHD (incidence rate of 33.33%). Up to May 31, 2023, the follow-up time ranged from 2 to 28 months, with a median follow-up time of 14.5 months. Of the 30 patients, 28 survived (25 patients were in disease-free survival status), and 2 died. Multivariate Cox regression analysis showed that age>35 years (P=0.035, HR=2.021) and recurrence after transplantation (P=0.021, HR=2.546) were independent risk factors of patients' survival prognosis. Among 30 patients, 5 relapsed, with a time range of 6 to 24 months and a median time of 9.0 months. Of 5 relapsed patients, 2 died (non-TRM). Conclusion Allo-HSCT is an effective treatment for AML. Age>35 years and recurrence after transplantation are independent risk factors of patients' survival prognosis.

Humans ; Endoscopy ; Neurosurgical Procedures ; Skull Base/surgery*

Pyrethroids, a broad class of synthetic organic insecticides applied in daily life, are highly toxic in the water environment and can cause organisms to develop symptoms of neurotoxicity.Environmental exposure has become one of the important factors explored during child growth and development in recent years, and the exposure of pyrethroids in the environment has gradually increased, making their effects on child growth and development also highly valued.A large number of studies at home and abroad have found that pyrethroids have effects on multi system development: exposure during pregnancy can lead to intrauterine growth restriction, malformations, etc.Postnatal exposure can lead to cognitive retardation, abnormal pubertal development, and may also increase the risk of allergic diseases, wheeze, cough, and acute lymphoblastic leukemia.This article provides a review of the effects of pyrethroid exposure on growth and developmental processes in children.