OBJECTIVE To investigate the present equipment and management situation of narcotic drugs in primary healthcare institutions from Qiandongnan prefecture of Guizhou province. METHODS The questionnaire survey was conducted among pharmacy department heads and medical staff from primary healthcare institutions in Qiandongnan prefecture of Guizhou province. Descriptive statistical analysis was conducted on the survey results. RESULTS Of 251 healthcare institutions in this survey， 29 healthcare institutions were equipped with narcotic drugs， accounting for 11.55%. The reasons for the narcotic drugs unequipped were mainly as follows: insufficient attention， no storage conditions for narcotic drugs， complex program of narcotic drug management， small amount usage and so on. Among the 29 primary healthcare institutions equipped with narcotic drugs， all of them did not monitor patient usage， accounting for 100%； 29 healthcare institutions did not implement a return visit or follow-up every 3 months， accounting for 100%. CONCLUSIONS The health administration departments should strengthen the administration of narcotic drugs in primary healthcare institutions. At the same time， training on standardized management and clinical rational application of narcotic drugs for medical staff in primary healthcare institutions should be enhanced by the health administrative department.

OBJECTIVE To mine the adverse drug events （ADE） signals for gilteritinib， and provide a reference for safe drug use in clinic. METHODS ADE reports with gilteritinib as the primary suspected drug were extracted from the FDA Adverse Event Reporting System （FAERS） database from February 1st， 2018 to December 31st， 2023. Reporting odds ratio （ROR） and proportional reporting ratio （PRR） were applied to detect the risk signals from the data in the FAERS database. The classification and statistics of collected signal data were conducted by using the preferred term （PT） and systemic organ class （SOC） in ADE terminology set of the Medical Dictionary for Regulatory Activities （24.1 edition）. RESULTS Totally， 2 755 gilteritinib-related ADE reports were collected from the database， involving 676 ADE signals （95 positive signals）， 313 PTs and 25 SOCs. Among them， nine signals were not recorded in the package insert. The top 5 PTs consisted of abnormal liver function， decreased platelet count， febrile neutropenia， pneumonia and myelosuppression. The top 6 SOCs for positive signal counts were examinations， general disorders and administration site conditions， respiratory， thoracic and mediastinal disorders， infections and infestations， heart organ disorders， and nervous system disorders. ADEs not recorded in the drug package insert included pneumonia， myelosuppression， decreased blood cell count， sepsis， hemorrhage， infection （not specifically referred to）， septic shock， respiratory failure， and aspergillosis. CONCLUSIONS In addition to paying attention to common ADEs such as liver dysfunction and thrombocytopenia， it is necessary to monitor ADEs with strong signals that are not mentioned in the drug instructions when using gefitinib， such as pneumonia， bone marrow suppression， cytopenia， sepsis， bleeding， infection （not specifically referred to）， septic shock， respiratory failure， Aspergillus infection， elevated serum creatinine and interstitial lung disease.

ObjectiveTo investigate the effect of Dingzhi Xiaowan （DZXW） in post-stroke cognitive impairment （PSCI） model mice. MethodsThe cerebral ischemia-reperfusion injury model of mice was established by using the middle cerebral artery occlusion method. Forty C57BL/6 male mice were randomly divided into the sham operation group， model group， low-dose DZXW group （1.43 g·kg^-1）， and high-dose DZXW group （2.56 g·kg^-1）， with 10 mice in each group. Both the sham operation group and the model group were treated with equal amounts of normal saline by gavage， and the above four groups of mice were gavaged once a day for 30 consecutive days. Morris water maze test was used to evaluate the learning memory ability of mice. Serum levels of amyloid precursor protein （APP）， amyloid 42 （Aβ₄₂）， acetylcholinesterase （AChE）， and superoxide dismutase （SOD） were measured by enzyme-linked immunosorbent assay （ELISA）. Deoxyribonucleotide end transferase-mediated nick end labelling （TUNEL） assay was applied to detect the degree of apoptosis in the mouse's hippocampal neurons. Western blot was used to detect the protein expression of phosphoinositol-3 kinase （PI3K）， protein kinase B （Akt）， mammalian target of rapamycin （mTOR）， hypoxia-inducible factor 1-alpha （HIF-1α）， B-cell lymphoma 2 （Bcl-2） homologous structural domain protein （Beclin1）， sequestosome 1 （p62）， microtubule-associated protein light chain 3 （LC3）， Bcl-2， and Bcl-2-associated X protein （Bax） in hippocampal tissue. Prussian blue staining was used to detect iron deposition in hippocampal tissue. Transmission electron microscopy was taken to observe the ultrastructure of the mouse's hippocampal neurons. ResultsCompared with the sham operation group， the latency， APP， Aβ₄₂， AChE， TUNEL positivity， ferric ion deposition， HIF-1α， Beclin1， Bax， and LC3Ⅱ/Ⅰ were significantly increased in the model group （P<0.01）， while the number of crossing platforms， SOD， p-PI3K， p-Akt， p-mTOR， p62， and Bcl-2 were significantly decreased （P<0.01）. Compared with the model group， the latency， APP， Aβ₄₂， AChE， TUNEL positivity rate， ferric ion deposition， HIF-1α， Beclin1， Bax， and LC3Ⅱ/Ⅰ were significantly reduced in the DZXW groups （P<0.05）， while the number of crossing platforms， SOD， p-PI3K， p-Akt， p-mTOR， p62， and Bcl-2 were significantly higher （P<0.05）. ConclusionDZXW can alleviate cognitive impairment induced by oxidative stress-aggravated hippocampal neuronal damage in PSCI model mice by modulating the PI3K/Akt/mTOR/HIF-1α autophagy signalling pathway.