BACKGROUND: Previous studies have demonstrated that short-term exposure to ambient particulate matter elevates the risk of ischemic stroke in major urban areas of various countries. However, there is a notable gap in research focusing on remote areas inhabited by ethnic minorities and the cumulative effects of air pollutants. Our study conducted in the area aims to explore the potential association between ischemic stroke and air pollutants and contribute to improving health outcomes among the community. METHODS: This retrospective observational study was conducted at the Xing'an League People's Hospital in Inner Mongolia. The medical records of 4,288 patients admitted for IS between November 1, 2019, and October 31, 2020, were reviewed. Data on demographics (age and sex), air pollutants (PM₁₀, PM_2.5, NO₂, NO, CO, and O₃), and meteorological factors (daily average temperature, daily average wind speed, and daily average atmosphere pressure) were collected and analyzed. The statistical analysis included descriptive statistics, Poisson distribution analysis to evaluate the adverse effects of atmospheric pollutants on daily hospitalizations, and subgroup analysis to determine whether gender and age could modify the impact on hospitalizations. RESULTS: A substantial correlation was revealed in single-day lags model. The peak delayed effects of PM₁₀, PM_2.5, SO₂, and NO₂ were observed at lag8 (PM₁₀ (OR = 1.016, 95%CI 1.002, 1.030), PM_2.5 (OR = 1.027, 95%CI 1.007, 1.048), SO₂ (OR = 1.153, 95%CI 1.040, 279) and NO₂ (OR = 1.054, 95%CI 1.005, 1.105)) while males exhibited a consistent trend from lag0 to lag8 (PM₁₀ (OR = 1.035, 95%CI 1.018, 1.053), PM_2.5 (OR = 1.056, 95%CI 1.030, 1.082), SO₂ (OR = 1.220, 95%CI 1.072, 1.389), NO₂ (OR = 1.126, 95%CI 1.061, 1.120), CO (OR = 10.059, 95%CI 1.697, 59.638) and O₃ (OR = 0.972, 95%CI 0.946, 0.999)). When gender and age were considered, a positive impact was also observed after three days cumulative effect in males. CONCLUSIONS There is a significant cumulative effect of exposure to air pollution on IS hospital admissions, especially the males and patients under the age of 65. Our results also suggested that a notable association between CO and NO₂ in two-pollutant models.
Humans ; Male ; Female ; Air Pollution/analysis* ; China/epidemiology* ; Retrospective Studies ; Middle Aged ; Air Pollutants/analysis* ; Aged ; Particulate Matter/analysis* ; Hospitalization/statistics & numerical data* ; Adult ; Ischemic Stroke/chemically induced* ; Environmental Exposure/adverse effects* ; Aged, 80 and over

The prefrontal cortex (PFC) plays a pivotal role in orchestrating higher-order emotional and cognitive processes, a function that depends on the precise modulation of synaptic activity. Although pharmacological studies have demonstrated that dopamine signaling through dopamine D1 receptor (DRD1) in the PFC is essential for these functions, the cell-type-specific and molecular mechanisms underlying the neuromodulatory effects remain elusive. Using cell-type-specific knockout mice and patch-clamp recordings, we investigated the regulatory role of DRD1 on neurons and astrocytes in synaptic transmission and plasticity. Furthermore, we explored the mechanisms by which DRD1 on astrocytes regulate synaptic transmission and plasticity at the cellular level, as well as emotional and cognitive functions at the behavioral level, through two-photon imaging, microdialysis, high-performance liquid chromatography, transcriptome sequencing, and behavioral testing. We found that conditional knockout of the Drd1 in astrocytes (CKO^AST) increased glutamatergic synaptic transmission and long-term potentiation (LTP) in the medial prefrontal cortex (mPFC), whereas Drd1 deletion in pyramidal neurons did not affect synaptic transmission. The elevated level of d-serine in the mPFC of CKO^AST mice increased glutamatergic transmission and LTP through NMDA receptors. In addition, CKO^AST mice exhibited abnormal emotional and cognitive function. Notably, these behavioral changes in CKO^AST mice could be reversed through the administration of d-serine degrease to the mPFC. These results highlight the critical role of the astrocytic DRD1 in modulating mPFC synaptic transmission and plasticity, as well as higher brain functions through d-serine, and may shed light on the treatment of mental disorders.

OBJECTIVE To screen the potential active components of Polygonum orientale flower against myocardial ischemia- reperfusion injury （MIRI） in rats based on physiological and pathological states. METHODS SD rats were divided into normal control group， normal administration group， MIRI control group and MIRI administration group， with 5 rats in each group. After drug intervention or modeling and drug intervention， chromatographic separation plasma samples were collected， and chromatographic separation and mass spectrometry data collection were performed by using UPLC-Q-TOF/MS. The prototype components and metabolites were analyzed by comparing the reference substance maps， the maps of each plasma sample， and the relevant literature. At the same time， the common peaks in plasma samples of rats in normal administration group and MIRI administration group were identified. Combined with principal component analysis and orthogonal partial least square-discriminant analysis， the differential transitional components were screened out according to the value of variable importance in the projection （VIP）＞1， to speculate the potential active components of P. orientale flower in rats under physiological and pathological states. The SD rats were divided into control group， MIRI group， positive control group （Compound danshen tablets 0.2 g/kg， 3 times a day）， and potentially active compound groups （10 mg/kg， twice a day）， with 5 rats in each group. The rats in administration groups were given relevant medicine intragastrically， for 3 consecutive days. The activity of superoxide dismutase （SOD）， the leakages of lactate dehydrogenase （LDH）， creatine kinase isoenzyme-MB （CK-MB） and cardiac troponin Ⅰ （cTnⅠ） in plasma were detected after the last administration. RESULTS Twenty-six main chromatographic peaks were obtained from the total ion chromatogram of the extract of P. orientale flower， and 14 of them were determined， including gallic acid， catechin， protocatechuic acid and so on. There were fifteen （including 6 absorbed prototype components and 9 metabolites） and nineteen transitional components （including 6 absorbed prototype components and 13 metabolites） in the plasma sample of normal rats and MIRI rats. Eight transitional components were detected in both normal rats and MIRI rats， and the VIP values of kaempferol glucuronidation metabolites， quercetin carbonylation metabolites and N-p-paprazine to the corresponding peak were higher than 1. Compared with MIRI group， the activities of SOD were increased significantly in the plasma of MIRI rats in each potential active compound group （P＜0.01）， and the leakages of LDH， CK-MB， and cTnⅠ in the plasma of MIRI rats were reduced significantly （P＜0.01）. CONCLUSIONS The potential anti-MIRI active components in extract of P. orientale flower are N-p-paprazine， quercetin， kaempferol and kaempferol-3-O-β-D-glucoside.

Objective To evaluate the utilization efficiency of beds in clinical departments based on time consumption index.Methods Selecting data from the 2019 annual report of medical work statistics and data from the Beijing inpatient medical service performance evaluation platform of a tertiary grade A general hospital of Traditional Chinese Medicine,the time consumption index of departments was calculated,based on which the regional average inpatient day of each department was calculated.and the number of standard bed turnover was calculated based on the target bed utilization rate.The bed utilization model was constructed based on the actual bed utilization in the department.Results Beds are open for a certain number of days,based on the target bed occupancy rate of each department and the average inpatient days within the DRG region of each department can be calculated based on the annual standard bed turnover number of the department based on the DRG disease group,on the basis of which the bed utilisation model is constructed.59.09%of the departments were efficiency departments,and the departments of press bed type,idle type and weekly transition all accounted for 13.64%respectively.Conclusion Introducing the time consumption index into the evaluation of bed utilization efficiency is in line with the actual work situation.Shortening the time consumption index is the most important thing to improve the bed utilization efficiency.The evaluation results can be used as the basis for the allocation of hospital bed resources.

Objective To evaluate the utilization efficiency of beds in clinical departments based on time consumption index.Methods Selecting data from the 2019 annual report of medical work statistics and data from the Beijing inpatient medical service performance evaluation platform of a tertiary grade A general hospital of Traditional Chinese Medicine,the time consumption index of departments was calculated,based on which the regional average inpatient day of each department was calculated.and the number of standard bed turnover was calculated based on the target bed utilization rate.The bed utilization model was constructed based on the actual bed utilization in the department.Results Beds are open for a certain number of days,based on the target bed occupancy rate of each department and the average inpatient days within the DRG region of each department can be calculated based on the annual standard bed turnover number of the department based on the DRG disease group,on the basis of which the bed utilisation model is constructed.59.09%of the departments were efficiency departments,and the departments of press bed type,idle type and weekly transition all accounted for 13.64%respectively.Conclusion Introducing the time consumption index into the evaluation of bed utilization efficiency is in line with the actual work situation.Shortening the time consumption index is the most important thing to improve the bed utilization efficiency.The evaluation results can be used as the basis for the allocation of hospital bed resources.

Objective To evaluate the utilization efficiency of beds in clinical departments based on time consumption index.Methods Selecting data from the 2019 annual report of medical work statistics and data from the Beijing inpatient medical service performance evaluation platform of a tertiary grade A general hospital of Traditional Chinese Medicine,the time consumption index of departments was calculated,based on which the regional average inpatient day of each department was calculated.and the number of standard bed turnover was calculated based on the target bed utilization rate.The bed utilization model was constructed based on the actual bed utilization in the department.Results Beds are open for a certain number of days,based on the target bed occupancy rate of each department and the average inpatient days within the DRG region of each department can be calculated based on the annual standard bed turnover number of the department based on the DRG disease group,on the basis of which the bed utilisation model is constructed.59.09%of the departments were efficiency departments,and the departments of press bed type,idle type and weekly transition all accounted for 13.64%respectively.Conclusion Introducing the time consumption index into the evaluation of bed utilization efficiency is in line with the actual work situation.Shortening the time consumption index is the most important thing to improve the bed utilization efficiency.The evaluation results can be used as the basis for the allocation of hospital bed resources.

Objective To evaluate the utilization efficiency of beds in clinical departments based on time consumption index.Methods Selecting data from the 2019 annual report of medical work statistics and data from the Beijing inpatient medical service performance evaluation platform of a tertiary grade A general hospital of Traditional Chinese Medicine,the time consumption index of departments was calculated,based on which the regional average inpatient day of each department was calculated.and the number of standard bed turnover was calculated based on the target bed utilization rate.The bed utilization model was constructed based on the actual bed utilization in the department.Results Beds are open for a certain number of days,based on the target bed occupancy rate of each department and the average inpatient days within the DRG region of each department can be calculated based on the annual standard bed turnover number of the department based on the DRG disease group,on the basis of which the bed utilisation model is constructed.59.09%of the departments were efficiency departments,and the departments of press bed type,idle type and weekly transition all accounted for 13.64%respectively.Conclusion Introducing the time consumption index into the evaluation of bed utilization efficiency is in line with the actual work situation.Shortening the time consumption index is the most important thing to improve the bed utilization efficiency.The evaluation results can be used as the basis for the allocation of hospital bed resources.

Objective To evaluate the utilization efficiency of beds in clinical departments based on time consumption index.Methods Selecting data from the 2019 annual report of medical work statistics and data from the Beijing inpatient medical service performance evaluation platform of a tertiary grade A general hospital of Traditional Chinese Medicine,the time consumption index of departments was calculated,based on which the regional average inpatient day of each department was calculated.and the number of standard bed turnover was calculated based on the target bed utilization rate.The bed utilization model was constructed based on the actual bed utilization in the department.Results Beds are open for a certain number of days,based on the target bed occupancy rate of each department and the average inpatient days within the DRG region of each department can be calculated based on the annual standard bed turnover number of the department based on the DRG disease group,on the basis of which the bed utilisation model is constructed.59.09%of the departments were efficiency departments,and the departments of press bed type,idle type and weekly transition all accounted for 13.64%respectively.Conclusion Introducing the time consumption index into the evaluation of bed utilization efficiency is in line with the actual work situation.Shortening the time consumption index is the most important thing to improve the bed utilization efficiency.The evaluation results can be used as the basis for the allocation of hospital bed resources.

Objective To evaluate the utilization efficiency of beds in clinical departments based on time consumption index.Methods Selecting data from the 2019 annual report of medical work statistics and data from the Beijing inpatient medical service performance evaluation platform of a tertiary grade A general hospital of Traditional Chinese Medicine,the time consumption index of departments was calculated,based on which the regional average inpatient day of each department was calculated.and the number of standard bed turnover was calculated based on the target bed utilization rate.The bed utilization model was constructed based on the actual bed utilization in the department.Results Beds are open for a certain number of days,based on the target bed occupancy rate of each department and the average inpatient days within the DRG region of each department can be calculated based on the annual standard bed turnover number of the department based on the DRG disease group,on the basis of which the bed utilisation model is constructed.59.09%of the departments were efficiency departments,and the departments of press bed type,idle type and weekly transition all accounted for 13.64%respectively.Conclusion Introducing the time consumption index into the evaluation of bed utilization efficiency is in line with the actual work situation.Shortening the time consumption index is the most important thing to improve the bed utilization efficiency.The evaluation results can be used as the basis for the allocation of hospital bed resources.

Objective To evaluate the utilization efficiency of beds in clinical departments based on time consumption index.Methods Selecting data from the 2019 annual report of medical work statistics and data from the Beijing inpatient medical service performance evaluation platform of a tertiary grade A general hospital of Traditional Chinese Medicine,the time consumption index of departments was calculated,based on which the regional average inpatient day of each department was calculated.and the number of standard bed turnover was calculated based on the target bed utilization rate.The bed utilization model was constructed based on the actual bed utilization in the department.Results Beds are open for a certain number of days,based on the target bed occupancy rate of each department and the average inpatient days within the DRG region of each department can be calculated based on the annual standard bed turnover number of the department based on the DRG disease group,on the basis of which the bed utilisation model is constructed.59.09%of the departments were efficiency departments,and the departments of press bed type,idle type and weekly transition all accounted for 13.64%respectively.Conclusion Introducing the time consumption index into the evaluation of bed utilization efficiency is in line with the actual work situation.Shortening the time consumption index is the most important thing to improve the bed utilization efficiency.The evaluation results can be used as the basis for the allocation of hospital bed resources.