Recent studies have demonstrated a close association between human health,disease suscep-tibility,and microbial communities.In women of reproductive age,alterations in the reproductive tract microbi-ota have been linked to various pregnancy outcomes.Traditionally,tubal pregnancy has been attributed to fallo-pian tube inflammation,developmental or functional abnormalities,and surgical interventions.However,emer-ging research on microbiota has revealed that dysbiosis of the reproductive tract microbiome,such as vaginal mi-crobial imbalance,may impair endometrial receptivity and consequently increase the risk of tubal pregnancy.Through a comprehensive literature review,this article summarizes current research progress on the correlation between reproductive tract microbiota and tubal pregnancy,aiming to explore potential pathogenic mechanisms and provide valuable insights for further clinical investigations.

ObjectiveTo evaluate pharmacological effects of Shengmai injection（SMI）on cerebral ischemia and study its neuroprotective mechanism. MethodsMale specific pathogen-free （SPF） Sprague-Dawley （SD） rats were randomly divided into a sham group， a model group， a low-dose SMI group（3 mL·kg^-1）， a middle-dose SMI group（6 mL·kg^-1）， a high-dose SMI group（12 mL·kg^-1）， and a Ginaton group（4 mL·kg^-1）according to the random number table method， with 12 rats in each group. The rat model of cerebral ischemia-reperfusion（MCAO/R）was prepared via the suture method. The administration groups were intraperitoneally injected with corresponding concentrations of SMI or Ginaton injection after reperfusion， which was conducted for 3 consecutive days. The sham group and model group were administered the equivalent volume of physiological saline. The pharmacological effects of SMI on brain injury in MCAO/R rats were evaluated by neurological function scores， cerebral infarction area， hematoxylin-eosin （HE） staining， Nissl staining， terminal deoxynucleotidyl transferase dUTP nick-end labeling （TUNEL） staining， and Western blot. The dominant link and key protein of SMI treating cerebral injury were explored using proteomic analysis. The related mechanisms of SMI were further validated using enzyme-linked immunosorbent assay （ELISA）， Western blot， and chloride ion fluorescence probe with oxygen-glucose deprivation/reoxygenation（OGD/R）-treated PC12 cells and MCAO/R rats. ResultsCompared with the sham group， the model group showed significantly increased neurological function scores， cerebral infarction area， neuronal apoptosis rate， and expression levels of apoptosis related proteins （P<0.05， P<0.01）and significantly decreased density of Nissl bodies and neurons（P<0.01）. Compared with the model group， the SMI groups exhibited significantly decreased neurological function scores， cerebral infarction area， neuronal apoptosis rate， and expression levels of apoptosis related proteins （P<0.05， P<0.01）and significantly increased density of Nissl bodies and neurons （P<0.05）. The proteomic analysis results showed that oxidative stress and inflammatory response were important processes of SMI intervening in MCAO/R injury， and the chloride intracellular channel protein 1 （CLIC1） was one of key proteins in its action network. The levels of representative indicators of oxidative stress and inflammatory response in the MCAO/R rats of the SMI groups were significantly reduced， compared with those in the model group（P<0.05， P<0.01）， and the expression levels of CLIC1 and downstream NOD-like receptor protein 3 （NLRP3） decreased （P<0.01）. In addition， the experimental results based on the OGD/R PC12 cells showed that SMI significantly increased the cell survival rate（P<0.01） and significantly decreased the intracellular chloride ion concentration（P<0.05）. ConclusionSMI has neuroprotective effects. Oxidative stress and inflammatory response are key processes of SMI intervening in MCAO/R injury. The potential mechanism is closely related to the regulation of CLIC1.

Objective: To explore the brain-predicted age difference (Brain-PAD) in patients with type 2 diabetes mellitus (T2DM) by a machine learning prediction model based on structural magnetic resonance ( sMRI) in the Southwest University Adult Lifespan Dataset (SALD) , and to reveal the relationship between Brain-PAD and dura- tion of T2DM and cognition . Methods: Group comparisons about demographic variables and cognitive function were conducted respectively in local database of 104 T2DM patients and 83 healthy controls (HC) . The prediction model via Gaussian process regression (GPR) was constructed by training sMRI data of 329 healthy volunteers in SALD , then its performance was validated and evaluated . Furthermore , Brain-PAD ( predicted age-chronological age) in the local database was calculated . Group comparisons of Brain-PAD between T2DM patients and HCs were conducted by Mann-Whitney U test. Finally , Pearson correlation coefficient (r) was calculated between Brain-PAD and duration of disease and cognition . Results: Poor performance in auditory verbal learning test (AVLT)-delayed recall , AVLT-recognition , symbol digital modalities test (SDMT) (P < 0. 05) , and increased Brain-PAD were ob- served in T2DM patients , compared with HCs [1 . 619 ( - 4. 001 , 8. 272) years vs - 1 . 289 ( - 4. 128 , 4. 134) years , Z = 2. 056 , P = 0. 034] . Notably , the median of Brain-PAD in T2DM group was positive , indicating that the brain of T2DM patient maybe relatively “older”than his chronological age . Brain-PAD in T2DM group was as- sociated with performance in AVLT-immediate recall ( r = 0. 291 , P = 0. 003) , AVLT-delayed recall ( r = 0. 248 , P = 0. 011) , SDMT( r = 0. 376 , P = 0. 001) and trail making test (TMT)-A ( r = - 0. 206 , P = 0. 036) . However , the relationships between Brain-PAD and duration of T2DM were not explored . Conclusion Decreased cognitive function in patients with T2DM is demonstrated in this study . The machine learning prediction model based on sMRI supports the identification of brain aging objectively in patients with T2DM .

Metering unit is important component of medical service items and also serve as significant bases for scientifically estimating the costs of medical services.National Technical Specification of Medical Service Items(2023 Edition)has set up elements such as"metering unit"and"adjustment coefficient for resource consumption in special circumstances",which clearly stipulate the metering units of each medical service item and the multiples for discretionary increases or decreases in the overall resource consumption when special circumstances occur.These two elements are important references for the cost accounting in medical institutions.The project team has elaborated on the definitions,establishment principles and special circumstances of these two types of elements,namely"metering units"and"adjustment coefficient for resource consumption in special circumstances",providing references for the application of relevant governments and healthcare institutions.

The relative value of human resource consumption is a relative value scale of the workload and difficulty of medical personnel needed to provide medical service items.Based on"basic human resource consumption and time consumption","technical difficulty"and"risk level"of the medical service items,it is comprehensively calculated by"relative value indicator standardization","relative value indicator weight setting","relative value indicator calculation model construction",and"relative value indicator expert verification".By formulating the relative value of human resource consumption,it could be used in rationalizing the relative value scale of medical service items,promoting cost accounting in hospitals,and establishing a scientific and reasonable performance evaluation system as technical tools.

As an important indicator to assess the revenue structure of hospitals,healthcare service revenue can truly reflect the labor value of medical personnel.A unified financial classification is the premise of accurate calculation of revenue structure.Meeting the needs of financial management of medical institutions through mapping with current healthcare service items in various regions,Financial Classification of Medical Service Items has unified the financial classification from the aspects of bill classification,accounting subject and expense classification in medical record.

The assignment of the"item code"element in National Technical Specification of Medical Service Items(Version 2023)continues the classification framework and coding rules of National Specification of Medical Service Price Items(Version 2012).The project team experts are members of the WHO-Family of International Classifications(WHO-FIC)China Classification,Terminology and Standards Collaborating Center.The design concept of project coding is the same as that of the International Classification of Health Interventions(ICHI).Both adopt an alphanumeric characters hybrid coding classification method based on multi-axis classification,clarified the definition and scope of these four key classification axis which including anatomy system,anatomical site,surgical procedure and surgical approach,and optimize and update item property,sub-classifications and coding.Unified medical service item code can make contribution to the comparability of statistics related to health care items across regions,promote cross-regional healthcare and healthcare insurance settlement at the national level;improve its refined management level in hospital,and play an important role in performance management and data statistical analysis.

It introduces the setting scope,principles and codes of disposable medical consumables in National Technical Specification of Medical Service Items(Version 2023)in detail to provide a basis to strengthen medical consumables management,standardize clinical charging behavior,and promote the cost accounting of medical service items for relevant governments and medical institutions.

Metering unit is important component of medical service items and also serve as significant bases for scientifically estimating the costs of medical services.National Technical Specification of Medical Service Items(2023 Edition)has set up elements such as"metering unit"and"adjustment coefficient for resource consumption in special circumstances",which clearly stipulate the metering units of each medical service item and the multiples for discretionary increases or decreases in the overall resource consumption when special circumstances occur.These two elements are important references for the cost accounting in medical institutions.The project team has elaborated on the definitions,establishment principles and special circumstances of these two types of elements,namely"metering units"and"adjustment coefficient for resource consumption in special circumstances",providing references for the application of relevant governments and healthcare institutions.

The relative value of human resource consumption is a relative value scale of the workload and difficulty of medical personnel needed to provide medical service items.Based on"basic human resource consumption and time consumption","technical difficulty"and"risk level"of the medical service items,it is comprehensively calculated by"relative value indicator standardization","relative value indicator weight setting","relative value indicator calculation model construction",and"relative value indicator expert verification".By formulating the relative value of human resource consumption,it could be used in rationalizing the relative value scale of medical service items,promoting cost accounting in hospitals,and establishing a scientific and reasonable performance evaluation system as technical tools.