Hypotension is a leading cause of age-related cognitive impairment. The available literature evidences that vascular factors are associated with dementia and that hypotension alters cerebral perfusion flow and can aggravate the neurodegeneration of Alzheimer's disease (AD). Despite the discovery of biomarkers and the recent progress made in neurovascular biology, epidemiology, and brain imaging, some key issues remain largely unresolved: the potential mechanisms underlying the neural deterioration observed in AD, the effect of cerebrovascular alterations on cognitive deficits, and the positive effects of hypotension treatment on cognition. Therefore, further well-designed studies are needed to unravel the potential association between hypotension and cognitive dysfunction and reveal the potential benefits of hypotension treatment for AD patients. Here, we review the current epidemiological, pathobiological, and treatment-related literature on neurovascular changes and hypotension-related cognitive dysfunction and highlight the unsettled but imminent issues that warrant future research endeavors.
Humans ; Hypotension/complications* ; Cognitive Dysfunction/etiology* ; Alzheimer Disease/epidemiology* ; Cerebrovascular Circulation/physiology* ; Cognition Disorders/etiology*

Globally, over 300 million surgeries are performed each year, and more than 50% of surgeries involve patients aged 65 and older. Aging poses significant challenges to perioperative brain health, as the deterioration of brain structure and function increases susceptibility to postoperative neurological complications. Protecting perioperative brain health remains a worldwide clinical challenge. With senescence, the brain undergoes a progressive decline in homeostasis across various molecular, cellular, and regional functions. Anesthetics and surgical stimuli may accelerate the disruption of brain homeostasis and exacerbate age-related neurodegeneration. This review provides a framework for understanding how anesthesia and surgery can affect brain health in the aging population and contribute to postoperative neurological complications, with a particular focus on perioperative neurocognitive disorder.

Previous studies have found associations between color discrimination deficits and cognitive impairments besides aging. However, investigations into the microstructural pathology of brain white matter (WM) associated with these deficits remain limited. This study aimed to examine the microstructural characteristics of WM in the non-demented population with abnormal color discrimination, utilizing Neurite Orientation Dispersion and Density Imaging (NODDI), and to explore their correlations with cognitive functions and cognition-related plasma biomarkers. The tract-based spatial statistic analysis revealed significant differences in specific brain regions between the abnormal color discrimination group and the healthy controls, characterized by increased isotropic volume fraction and decreased neurite density index and orientation dispersion index. Further analysis of region-of-interest parameters revealed that the isotropic volume fraction in the bilateral anterior thalamic radiation, superior longitudinal fasciculus, cingulum, and forceps minor was significantly correlated with poorer performance on neuropsychological assessments and to varying degrees various cognition-related plasma biomarkers. These findings provide neuroimaging evidence that WM microstructural abnormalities in non-demented individuals with abnormal color discrimination are associated with cognitive dysfunction, potentially serving as early markers for cognitive decline.
Humans ; White Matter/pathology* ; Male ; Female ; Cognitive Dysfunction/physiopathology* ; Middle Aged ; Aged ; Color Perception/physiology* ; Brain/pathology* ; Neuropsychological Tests ; Diffusion Tensor Imaging

Objective To explore the effect of sitagliptin and metformin combined with zoledronic acid in the treatment of type 2 diabetes mellitus(T2DM)complicated with osteoporosis(OP)on the levels of glucose and lipid metabolism and bone metabolism in patients.Methods Patients with T2DM combined with OP admitted to Nantong Second People's Hospital from January 2021 to January 2024 were selected as the research subjects and randomly divided into the combined group(sitagliptin and metformin combined with zoledronic acid)and the control group(zoledronic acid only).After 6 months of treatment,the clinical efficacy,glucose and lipid metabolism indicators[fasting blood glucose(FBG),2-hour postprandial blood glucose(2hPG),glycated hemoglobin(HbA1c),total cholesterol(TC),triglycerides(TG),high-density lipoprotein cholesterol(HDL-C),low-density lipoprotein cholesterol(LDL-C)],bone metabolism indicators[osteoprotegerin(OPG),bone-specific alkaline phosphatase(BALP),osteocalcin(OC)]levels,changes in bone density,and incidence of adverse reactions were compared between the two groups before and after treatment.Results A total of 120 patients were included,with 60 patients in each group.After treatment,the total effective rate of the combination group was 93.33％,significantly higher than the control group's 73.33％(P＜0.05).The levels of FBG,2hPG,HbA1c,TC,TG,and LDL-C in two groups were significantly lower than those before treatment,while the levels of HDL-C,OPG,BALP,OC,and bone density in the femoral neck and lumbar spine were significantly higher than before treatment(P＜0.05);and all indicators of the combined group were better than those of the control group(P＜0.05).There was no statistically significant difference in the total incidence of adverse reactions between the two groups(P＞0.05).Conclusion Sitagliptin and metformin combined with zoledronic acid in the treatment of patients with T2DM complicated with OP is more effective in regulating their glycolipid metabolism and bone metabolism levels,increasing bone density,improving therapeutic effects,and it has better safety than zoledronic acid alone.

Objective:To explore the differences in sociodemographic and clinical characteristics between pa-tients with unipolar depression bipolar depression and to establish a nomogram for identifying bipolar depression.Methods:Using data from the China Mental Disorders Cohort Study,the sociodemographic and clinical characteristics of 2 643 patients with unipolar depression and 250 patients with bipolar depression diagnosed accord-ing to the criteria of the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition(DSM-5)were includ-ed to compare their sociodemographic and clinical characteristics.These characteristics included general demograph-ic information,disease-related information,clinical examination results,and the severity of the disease assessed with the Global Assessment of Functioning(GAF)and Hamilton Depression Rating Scale.Logistic regression analysis was employed to identify factors influencing bipolar depression,and a nomogram was constructed for its identifica-tion.Results:The risk factors for bipolar depression included being male(OR=1.48),being employed(OR=1.38),having non-melancholic features during episodes(OR=2.33),a Body Mass Index ranging from normal to obese(OR=2.48,2.49,4.65),psychotic features(OR=2.14),mixed episode(OR=9.36),comorbid physical diseases(OR=2.47),four or more depressive episodes(OR=1.67),earlier age of onset(OR=0.95),longer ill-ness duration(OR=1.03),and higher GAF scores(OR=1.02).The nomogram model achieved an AUC of 0.81(95％CI:0.78-0.84).The Hosmer-Lemeshow test result was x2=6.96(P＞0.05),indicating good model fit.The calibration curve showed good performance.The decision curve analysis revealed that the nomogram pro-vides significant clinical benefit when the risk of bipolar depression was within the range of 0 to 0.9.Conclusion:The nomogram established based on the identified sociodemographic and clinical factors can accurately assess the risk of bipolar depression,providing a useful tool for early identification and intervention.

Objective:To explore the differences in sociodemographic and clinical characteristics between pa-tients with unipolar depression bipolar depression and to establish a nomogram for identifying bipolar depression.Methods:Using data from the China Mental Disorders Cohort Study,the sociodemographic and clinical characteristics of 2 643 patients with unipolar depression and 250 patients with bipolar depression diagnosed accord-ing to the criteria of the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition(DSM-5)were includ-ed to compare their sociodemographic and clinical characteristics.These characteristics included general demograph-ic information,disease-related information,clinical examination results,and the severity of the disease assessed with the Global Assessment of Functioning(GAF)and Hamilton Depression Rating Scale.Logistic regression analysis was employed to identify factors influencing bipolar depression,and a nomogram was constructed for its identifica-tion.Results:The risk factors for bipolar depression included being male(OR=1.48),being employed(OR=1.38),having non-melancholic features during episodes(OR=2.33),a Body Mass Index ranging from normal to obese(OR=2.48,2.49,4.65),psychotic features(OR=2.14),mixed episode(OR=9.36),comorbid physical diseases(OR=2.47),four or more depressive episodes(OR=1.67),earlier age of onset(OR=0.95),longer ill-ness duration(OR=1.03),and higher GAF scores(OR=1.02).The nomogram model achieved an AUC of 0.81(95％CI:0.78-0.84).The Hosmer-Lemeshow test result was x2=6.96(P＞0.05),indicating good model fit.The calibration curve showed good performance.The decision curve analysis revealed that the nomogram pro-vides significant clinical benefit when the risk of bipolar depression was within the range of 0 to 0.9.Conclusion:The nomogram established based on the identified sociodemographic and clinical factors can accurately assess the risk of bipolar depression,providing a useful tool for early identification and intervention.

Objective To explore the effect of sitagliptin and metformin combined with zoledronic acid in the treatment of type 2 diabetes mellitus(T2DM)complicated with osteoporosis(OP)on the levels of glucose and lipid metabolism and bone metabolism in patients.Methods Patients with T2DM combined with OP admitted to Nantong Second People's Hospital from January 2021 to January 2024 were selected as the research subjects and randomly divided into the combined group(sitagliptin and metformin combined with zoledronic acid)and the control group(zoledronic acid only).After 6 months of treatment,the clinical efficacy,glucose and lipid metabolism indicators[fasting blood glucose(FBG),2-hour postprandial blood glucose(2hPG),glycated hemoglobin(HbA1c),total cholesterol(TC),triglycerides(TG),high-density lipoprotein cholesterol(HDL-C),low-density lipoprotein cholesterol(LDL-C)],bone metabolism indicators[osteoprotegerin(OPG),bone-specific alkaline phosphatase(BALP),osteocalcin(OC)]levels,changes in bone density,and incidence of adverse reactions were compared between the two groups before and after treatment.Results A total of 120 patients were included,with 60 patients in each group.After treatment,the total effective rate of the combination group was 93.33％,significantly higher than the control group's 73.33％(P＜0.05).The levels of FBG,2hPG,HbA1c,TC,TG,and LDL-C in two groups were significantly lower than those before treatment,while the levels of HDL-C,OPG,BALP,OC,and bone density in the femoral neck and lumbar spine were significantly higher than before treatment(P＜0.05);and all indicators of the combined group were better than those of the control group(P＜0.05).There was no statistically significant difference in the total incidence of adverse reactions between the two groups(P＞0.05).Conclusion Sitagliptin and metformin combined with zoledronic acid in the treatment of patients with T2DM complicated with OP is more effective in regulating their glycolipid metabolism and bone metabolism levels,increasing bone density,improving therapeutic effects,and it has better safety than zoledronic acid alone.

Objective To understand the change trend and characteristics of nosocomial infection through the comprehensive surveillance on nosocomial infection in infectious diseases specialized hospitals dur-ing 2017-2023 to provide an evidence for the prevention,control and management of nosocomial infection.Methods The surveillance indicators of nosocomial infection in a hospital during 2017-2023 were collected.The nosocomial infection rate,nosocomial infection rate in different inpatient wards,nosocomial infection sites,nosocomial infection pathogenic bacterial distribution and susceptibility factors conducted the statistical analysis.Results A total of 93 254 patients were admitted and treated during 2017-2023.The nosocomial in-fection rate and infection case-times rate showed the decreasing trend(P＜0.05).The case-times rate of the patients in the AIDS wards was 3.75％,which was higher than 0.79％in the tuberculosis wards(P＜0.05).The nosocomial infection case-times rate in the two wards areas during 2017-2023 showed the decreasing trend(P＜0.05).The infection sites were mainly the respiratory system(61.56％),blood system(9.44％)and urinary system(8.61％).A total of 803 strains of pathogenic bacteria were detected out,which were mainly Gram negative bacteria(63.89％),the top five were in turn Klebsiella pneumoniae(16.19％),Esche-richia coli(15.57％),Acinetobacter baumannii(10.83％),Pseudomonas aeruginosa(8.84％)and Staphylo-coccus aureus(7.22％).The top three of susceptibility factors were low immune function(58.78％),long term antibiotic use(11.29％)and ventilator use(9.20％).Conclusion Initiatively carrying the hospital infec-tion surveillance could accurately grasp the incidence trends and provide the direction and data support for pre-vention and control priorities.

The development and application of processing technology is closely related to the quality of Chinese medicine. Currently， Chinese medicine processing is still in the mechanization stage with limited processing equipment， low levels of automation and intelligence. As a result， the imprecise control of parameters during processing leads to unstable quality of Chinese herbal pieces. However， with the arrival of the big data era and the continuous development of "Internet+"， Chinese medicine processing technology and equipment have been continuously improved and updated， and gradually shifted to the development direction of automation and intelligence. The linkage production technology of Chinese herbal pieces optimizes the separate processing equipment coupling into the production line for continuous manufacture of Chinese herbal pieces， intending to improve production efficiency. The large-scale industrialized production of Chinese herbal pieces tends towards digital technology of processing experience and online inspection technology based on machine vision， electronic nose， and electronic tongue. These technologies are crucial prerequisites for standardizing the parameters of Chinese medicine processing. And further by docking the processing process and equipment with the internet， realizing the intelligent control of the production process is an important process for the transformation and upgrading of Chinese herbal piece industry in the future. In this paper， we summarized the development characteristics of different stages of Chinese medicine processing technology， combed application and development of processing theory， the evolution of processing equipment， and problems in the current industrial development stage of Chinese medicine processing， in order to provide ideas and methods for achieving digital and intelligent innovation of processing technology as well as high-efficient and high-quality production of Chinese herbal pieces.

Objective:To explore the clinical characteristics and related socio-demographic factors of schizo-phrenia patients with different ages of onset.Methods:Totally 2 016 patients with schizophrenia aged 15 to 70 were selected according to the diagnostic criteria for schizophrenia in the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition.All of the patients were interviewed by psychiatrists using the Mini International Neuropsy-chiatric Interview to diagnose schizophrenia,Clinical-Rated Dimensions of Psychosis Symptom Severity(CRDPSS)and the Positive and Negative Syndrome Scale(PANSS)to assess symptoms.The cut-off points were 18 and 25 years old for three age groups,i.e.early onset(EOS),youth onset(YOS)and adult onset(AOS).Statistical analy-ses were performed by analysis of variance Pearson correlation analysis,and multivariate linear regression.Results:The early-onset patients had the highest total PANSS score(73.8±28.0)and CRDPSS score(11.7±5.4).Fe-male gender,high education level,Han ethnicity,early onset age,and slower onset of illness were negatively corre-lated with the total and dimension score of PANSS scale and CRDPSS scale(standardized regression coefficient:0.04-0.47),and income level and smoking were negatively correlated with those score(standardized regression coefficient:-0.04--0.14).Conclusion:Early-onset schizophrenia patients have more severe symptoms,and fe-male,high education level,early-onset disease,and chronic onset are the risk factors of symptom severity in patients with schizophrenia.