Objective: To investigate the implementation and evaluate the effectiveness of health management services for patients with type 2 diabetes mellitus (T2DM) in Urumqi City from 2017 to 2021, so as to provide the reference for enhancing T2DM patients management. Methods: Data on the rates of record establishment, health management and standardized management for T2DM patients, and blood glucose control rate in managed patients in Urumqi City from 2017 to 2021 were collected through the quarterly reports on basic public health service management from the Weining Health Platform System. The trends in the four management indicators, and the differences between urban and rural areas were analyzed. Results: The rates of record establishment, health management and blood glucose control rate in managed patients in Urumqi City were 46.94%, 38.37% and 59.92%, respectively, showing upward trends from 2017 to 2021 (all P<0.05). The rate of standardized management was 75.89%, showing a downward trend (P<0.05). The rate of record establishment was higher in urban areas than in rural areas (47.76% vs. 40.56%, P<0.05). The rates of standardized management and blood glucose control in managed patients were lower in urban areas than in rural areas (75.18% vs. 81.46%, 58.93% vs. 67.64%, both P<0.05). The rate of health management was 38.39% in urban areas and 38.24% in rural areas, with no statistically significant difference (P>0.05). The trends in the rates of record establishment, health management and standardized management in both urban and rural areas were consistent with those in the overall population. Conclusions From 2017 to 2021, the rates of record establishment, health management and blood glucose control in managed patients in Urumqi City showed upward trends, while the rate of standardized management exhibited a downward trend. There were urban-rural differences in the rates of record establishment, standardized management and blood glucose control in managed patients.

The incidence of type 2 diabetes mellitus (T2DM) has been continuously rising, severely impacting health and increasing the medical burden. With the development of medical big data and artificial intelligence, research into constructing T2DM and its complications prediction models using machine learning methods based on multidimensional data such as genetic information, health records and laboratory testing data have increased, providing new ideas and means for the prevention and control of T2DM. This article reviewed the research progress in prediction models related to the risk of T2DM to understand the classification, modeling methods and applications by retrieving literature on T2DM and its complications prediction models from domestic and international databases including CNKI, Web of Science, and PubMed from 2003 to 2024, so as to provide the reference for early screening and intervention of T2DM.

In different stages of schizophrenia (SZ), alterations in gray matter volume (GMV) of patients are normally regulated by various pathological mechanisms. Instead of analyzing stage-specific changes, this study employed a multivariate structural covariance model and sliding-window approach to investigate the illness duration-related developmental trajectory of GMV in SZ. The trajectory is defined as a sequence of brain regions activated by illness duration, represented as a sparsely directed matrix. By applying this approach to structural magnetic resonance imaging data from 145 patients with SZ, we observed a continuous developmental trajectory of GMV from cortical to subcortical regions, with an average change occurring every 0.208 years, covering a time window of 20.176 years. The starting points were widely distributed across all networks, except for the ventral attention network. These findings provide insights into the neuropathological mechanism of SZ with a neuroprogressive model and facilitate the development of process for aided diagnosis and intervention with the starting points.
Humans ; Schizophrenia/pathology* ; Gray Matter/pathology* ; Magnetic Resonance Imaging ; Disease Progression ; Male ; Female ; Brain/pathology* ; Cerebral Cortex/pathology* ; Adult

OBJECTIVE To investigate the ameliorative effects and mechanism of Sanwei ganlu on hepatic fibrosis in rats. METHODS The rats were randomly divided into normal group， model group， silibinin group （positive control， 50 mg/kg）， and Sanwei ganlu low-dose， medium-dose， and high-dose groups （80， 250， 800 mg/kg）. Except for normal group， hepatic fibrosis rat models were established by intraperitoneal injection of CCl4 in the other groups of rats. Starting from the 6th week of modeling administration， they were given normal saline or corresponding drugs intragastrically at the same time. At the end of the ninth-week experiment， liver and spleen indexes of rats were calculated； the pathological structure and fibrosis changes of liver tissue were observed by HE， Masson and Sirus Red staining. The contents of alanine transaminase （ALT）， aspartate transaminase （AST）， procollagen type Ⅲ （PC Ⅲ）， collagen type Ⅳ （COL-Ⅳ）， interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α） and IL-1β in serum， and hyaluronic acid （HA） and laminin （LN） in liver tissue were all detected. RESULTS Compared with the model group， the liver injury and collagen fiber deposition of rats were improved to different extents in Sanwei ganlu groups and silibinin group； the contents of ALT， AST， PC Ⅲ， COL-Ⅳ， IL-6， TNF-α and IL-1β in serum as well as the contents of HA and LN in liver tissue significantly decreased （P＜0.05 or P＜0.01）. CONCLUSIONS Sanwei ganlu can alleviate the progression of hepatic fibrosis in rats， possibly by inhibiting the synthesis of collagen fiber， reducing transaminase content， down-regulating the levels of HA， LN， PC Ⅲ and COL-Ⅳ， and reducing the inflammatory response.

Objective Starting from the actual numbers of health personnel of tertiary public hospitals of Traditional Chinese Medicine(TCM),to quantitatively analyze the influencing factors on the allocation of human resources and obtain a prediction model.Methods The balanced panel data from 517 Tertiary Public TCM Hospitals in the period of 2011-2020 were collected,and the two-way fixed effects model was used to empirically analyze the impact of scale,demand and other factors on the actual number of health personnel in these hospitals.Result The number of beds is a key factor affecting the human resource allocation of Public TCM Hospitals,and various factors such as de-mand,policy,price,efficiency,and administrative management also have significant impacts on the allocation.The demand for outpatient services,government financial support,and efficiency of resource utilization are all promoting factors,while the increase in human resource prices,income generation efficiency,and administrative manage-ment levels have negative effects.A prediction model is proposed.Conclusion The planning principle of matching bed numbers with human resources allocation is in line with the actual environment.When predicting the total personnel allocation or authorized strength,various factors should also be fully considered,which can provide reference for the formulation of human resource policies in Public TCM Hospitals.

Ankylosing spondylitis (AS) combined with lower cervical fracture is often categorized into unstable fracture, with a high incidence of neurological injury and a high rate of disability and morbidity. As factors such as shoulder occlusion may affect the accuracy of X-ray imaging diagnosis, it is often easily misdiagnosed at the primary diagnosis. Non-operative treatment has complications such as bone nonunion and the possibility of secondary neurological damage, while the timing, access and choice of surgical treatment are still controversial. Currently, there are no clinical practice guidelines for the treatment of AS combined with lower cervical fracture with or without dislocation. To this end, the Spinal Trauma Group of Orthopedics Branch of Chinese Medical Doctor Association organized experts to formulate Clinical guidelines for the treatment of ankylosing spondylitis combined with lower cervical fracture in adults ( version 2024) in accordance with the principles of evidence-based medicine, scientificity and practicality, in which 11 recommendations were put forward in terms of the diagnosis, imaging evaluation, typing and treatment, etc, to provide guidance for the diagnosis and treatment of AS combined with lower cervical fracture.