OBJECTIVE To upgrade the drug traceability code management system for a pediatric hospital under the “payment by code” background， aiming to comprehensively enhance traceability integrity， efficiency， and compliance. METHODS Taking Xiamen Children’s Hospital as the implementation setting， a before-and-after control design was adopted to construct an intelligent drug traceability code management system through systematic upgrades involving the technology platform， core mechanisms， and coordination with medical insurance. Key interventions included： upgrading a traceability code management platform and designing a dynamic code pool； innovating differentiated traceability mechanisms for routine， split-dose， and special drugs； establishing a tiered early-warning and emergency response system； and constructing a data coordination and quality control system. The drug traceability code upload rate served as the primary outcome. Process indicators such as the root causes distribution of failed uploads and the duration of medication returns， and a comprehensive outcome （the number of insurance-flagged abnormal prescriptions） were also analyzed. The data between the baseline period （April 2025） and the observation period （June-August 2025） were compared and evaluated. RESULTS After the upgrade， the overall upload rate of drug traceability codes increased from 9.21% （baseline） to 99.86% （August 2025）. The upload rate of traceability codes in previously unmanaged areas， such as the inpatient pharmacy and pharmacy intravenous admixture services， soared from 0 to nearly 100%. The proportion of non-uploads due to system issues fell from 66.44% （June 2025） to 2.62% （August Additionally， the number of insurance-flagged） abnormal prescriptions dropped sharply from 2 275.00 in the first “payment by code” policy month （July 2025） to 212.00 by the end of the observation period （August 2025）， a 90.70% decrease. CONCLUSIONS The developed management system effectively addresses complex scenario challenges such as high-frequency drug splitting. It significantly enhances traceability code upload performance and ensures a high degree of compliance with medical insurance data requirements. These outcomes contribute to proactive risk mitigation against insurance claim denials and demonstrate a concurrent optimization of pharmacy operations.

OBJECTIVE To formulate the Expert Consensus on the Implementation and Management of Drug Selection for Centralized Volume-Based Procurement in Medical Institutions of Guangxi （hereinafter referred to as the “ Consensus ”）， and to provide decision-making support and practical guidance for the drug selection and management of centralized volume-based procurement （hereinafter referred to as “centralized procurement”） drugs in medical institutions at all levels in Guangxi. METHODS A systematic review was conducted on the materials from previous batches of centralized procurement implemented in Guangxi. A comprehensive search was carried out for drug-related works and books， along with a systematic collation of guidelines on drug selection， expert consensus on centralized procurement， and policy documents. Through three rounds of specialized seminars， combined with existing evidence-based data and the practical drug selection experiences of medical institutions at various levels， this Consensus was formulated after thorough discussion and successive rounds of revision. RESULTS & CONCLUSIONS The Consensus systematically outlines the three key stages in the implementation of centralized procurement in medical institutions： procurement volume reporting， confirmation of agreed procurement volume， and procurement and usage implementation. It proposes drug selection strategies for centralized procurement bas ed on multiple dimensions， including specifications， dosage forms， packaging materials， fill volume， and manufacturing enterprises. In response to practical challenges encountered in the selection process， corresponding countermeasures are proposed， such as establishing a regularized information reserve mechanism， strengthening information technology support， and implementing categorized selection approaches. The Consensus advocates for medical institutions to construct an integrated “policy， data， and quality” decision-making system to promote full-cycle management of centralized procurement. This Consensus will provide scientific and practical guidance for medical institutions at all levels in Guangxi in the drug selection of centralized procurement， facilitating the smooth implementation and sustainable development of centralized procurement policies at the institutional level.

This article summarizes Professor Lu Yanqing's clinical experience in treating post-stroke upper limb flaccid paralysis using ultrasound-guided neural facilitation acupuncture.Neural facilitation acupuncture is a technique developed by Professor Lu through long-term clinical practice,integrating modern musculoskeletal and neurological anatomy with traditional meridian and acupoint theory.Under ultrasound guidance,this method employs targeted needling techniques at specific sites corresponding to different motor dysfunctions in post-stroke patients.By combining Chinese and western medical principles,it leverages neuroplasticity to reactivate perilesional brain functional reorganization and establish new neural pathways between affected limb receptors and the central nervous system,ultimately restoring motor function in the paralyzed upper limb.

OBJECTIVE: To explore the clinical features of the sepsis in immunocompromised hosts and establish an early warning equation. METHODS: A retrospective study was conducted on sepsis patients admitted to the intensive care unit (ICU) of Binzhou Medical University Hospital from October 2011 to October 2022. General information, infection site, etiology results and drug susceptibility, clinical symptoms, inflammatory indicators, acute physiology and chronic health status evaluation II (APACHE II), sequential organ failure assessment (SOFA), incidence of immune paralysis, and outcome during hospitalization were collected. Based on whether they met the diagnostic criteria for immunocompromised hosts, patients were divided into immunocompromised group and immune normal group. The clinical information of the two groups were compared. Multivariate Logistic regression was used to analyze the risk factors of patients with immunocompromised sepsis and the regression equation model was initially established. Omnibus test and Hosmer-Lemeshow test were used to evaluate the model. RESULTS: A total of 169 patients with sepsis were included, including 61 in the immunocompromised group and 108 in the normal immune group. The top 3 infection sites in the immunocompromised group were bloodstream infection, pulmonary infection and abdominal infection. The top 3 infection sites in the normal immune group were pulmonary infection, bloodstream infection and abdominal infection. The infection rate of Gram-negative bacteria in the immunocompromised group was significantly lower than that in the normal group [49.2% (30/61) vs. 64.8% (70/108), P < 0.05]. The infection rate of Gram-positive bacteria [27.9% (17/61) vs. 13.9% (15/108)] and multidrug-resistant bacteria [54.1% (33/61) vs. 29.6% (32/108)] were significantly higher than those in normal immune group (both P < 0.05). In terms of clinical symptoms, the proportion of fever in the immunocompromised group was significantly lower than that in the immune normal group [49.2% (30/61) vs. 66.7% (72/108), P < 0.05]. Neutrophil count (NEU) and neutrophil percentage (NEU%) in the immunocompromised group were significantly lower than those in the normal immune group. Lymphocyte percentage (LYM%), neutrophil/lymphocyte ratio (NLR), C-reactive protein (CRP), procalcitonin (PCT), APACHE II score, combined shock rate, incidence of immune paralysis, and mortality during hospitalization in the immunocompromised group were significantly higher than those in the normal immune group. Logistic regression analysis showed that NLR, CRP and PCT were risk factors for patients with immunocompromised sepsis (all P < 0.05). The above indicators were used as covariables to construct a Logistic regression equation, that was, Logit (P) = 0.025X₁+0.010X₂+0.013X₃-2.945, where X₁, X₂ and X₃ represent NLR, CRP and PCT respectively. Omnibus test and Hosmer-Lemeshow test show that the model fits well and has certain early warning value. CONCLUSIONS Patients with immunocompromised sepsis have more intense inflammatory response, with Gram-negative bacteria being the predominant pathogen, and a higher incidence of Gram-positive bacterial infections and multi-drug resistant infections. The severity of the disease, in-hospital mortality, the incidence of shock and the incidence of immune paralysis after sepsis were significantly higher. NLR, CRP and PCT were independent risk factors for sepsis in immunocompromised hosts. The regression equation constructed based on this may have early warning significance for patients with immunocompromised sepsis.
Humans ; Sepsis/immunology* ; Immunocompromised Host ; Retrospective Studies ; Risk Factors ; Intensive Care Units ; Logistic Models ; Male ; APACHE ; Female ; Middle Aged ; Aged

Objective To evaluate the effect of glucocorticoid(GC)treatment on the prognosis of patients with severe viral pneumonia,and to screen for related influencing factors and optimal beneficiary groups,providing reference for clinical medication decisions.Methods Based on the MIMIC-Ⅳ database,eligible patients with severe viral pneumonia were screened and divided into GC group and non GC group.Baseline differences were balanced using propensity score matching(PSM).Kaplan-Meier survival curves were used to analyze the cumulative survival rate of two groups of patients at 30 d,and Cox regression models were used to evaluate the association between GC use and the 30 d mortality risk in patients.Results A total of 518 severe viral pneumonia patients were included,including 43 in the GC group and 475 in the non-GC group.After PSM,there were 43 cases in the GC group and 86 cases in the non-GC group.The Kaplan-Meier survival curves showed that the 30 d cumulative survival rate of patients in the GC group was significantly higher than that in the non-GC group(P＜0.05).The results of multivariate Cox regression analysis showed that GC treatment significantly reduced the 30 d mortality risk[HR=0.35,95％CI(0.154,0.793),P=0.012],especially for patients older than 54 years,receiving mechanical ventilation,and with acute kidney injury.GC use,age＞54 years,and acute kidney injury were independent predictors of patient mortality risk(C-index=0.718 1).Subgroup analysis showed that for specific indications(age＞54 years,mechanical ventilation,no myocardial infarction,no hypertension,no hyperlipidemia,no heart failure,complicated by acute kidney failure),GC use could effectively reduce the 30 d mortality risk.Conclusion GC could effectively improve the prognosis of severe viral pneumonia patients,but individualized patient characteristics and treatment risks need to be considered comprehensively to optimize the medication regimen.

OBJECTIVE To investigate the ameliorative effect of Pinelliae Rhizoma Praeparatum Cum Alumine and its effective components on inflammatory response in mice with acute lung injury(ALI).METHODS A mice model of acute lung injury induced by lipopolysaccharide(LPS)was used as the in vivo animal model.The levels of inflammatory factors TNF-α,IL-6,and IL-1β,the total protein concentration,the number of inflammatory cells in bronchoalveolar lavage fluid,the ratio of lung wet weight to dry weight,and the pathological damage of lung tissues were taken as the evaluation indexes.RAW264.7 macrophages induced by LPS were used as the in vitro experimental model,with the mRNA levels of intracellular inflammatory factors TNF-α,IL-1β,and IL-6 as indicators,systematic solvent extraction and silica gel column chromatography were used to separate and screen the effective parts and components of Pinelliae Rhizoma Praeparatum Cum Alumine for treating acute lung injury.The component composition of the effective fractions was analyzed by mass spectrometry,the content of cyclic dipeptide components in the effective fraction was determined,and the anti-in-flammatory activity of cyclic dipeptides was verified in vitro.RESULTS The ethyl acetate extraction fraction obtained by extracting the supernatant of water extraction and ethanol precipitation of Pinelliae Rhizoma Praeparatum Cum Alumine(referred to as the ethyl acetate fraction for short)significantly improved the inflammatory response in mice with acute lung injury and significantly reduced the mRNA levels of TNF-α,IL-1β,and IL-6 in RAW264.7 cells induced by LPS.The Fr.1 fraction isolated from the ethyl acetate frac-tion by silica gel column chromatography had anti-inflammatory effects in vitro.Mass spectrometry determined the content of two main cyclic dipeptide components,cyclo-(Pro-Phe)and cyclo-(Pro-Val),in the Fr.1 fraction.After mixing these two cyclic dipeptide components in the molar ratio in the Fr.1 fraction and administering them in vitro,the results showed that the combination of these two cyclic dipeptide components could significantly inhibit the mRNA expression levels of TNF-α,IL-1β,and IL-6 in RAW264.7 cells induced by LPS.CONCLUSION Cyclic dipeptide component is one of the main material basis categories for the anti-inflammatory effect of Pinelliae Rhizoma Praeparatum Cum Alumine.

Objective Based on the diffusion tensor imaging(DTI)technique,this study aims to analyze the impact of early acupuncture intervention on the microstructure of brain white matter fibers,explore the brain mechanisms underlying the arousal effect of acupuncture intervention in comatose patients after traumatic cerebral injury,so as to provide a theoretical basis for early awakening promotion.Methods This study enrolled 32 comatose patients with traumatic brain injury admitted to the Department of Acupuncture and Rehabilitation with a disease course ranging from 10 to 30 days.Participants were randomly allocated into a control group(n=16)and an acupuncture group(n=16)using a random number table method.Both groups received conventional awakening-promoting rehabilitation treatment,while the acupuncture group additionally treated with the Xingnao Kaiqiao acupuncture therapy.Before and after the treatment,the Glasgow Coma Scale(GCS)scores and DTI examination were conducted respectively to assess the awakening rate and measure FA values.Explore the correlation between FA values within the acupuncture group and the GCS scores for the regions where inter-group differences occur after treatment.Results After 28 days of treatment in both groups,the awakening rate in the acupuncture group reached 75.00％,significantly higher than that in the control group(43.75％)(P=0.047).After treatment,FA values showed a significant increase compared to baseline levels in both groups(P<0.05).The acupuncture group exhibited a significantly greater increase in FA values in the midbrain,pons,thalamus,posterior limb of the internal capsule,and the splenium of the corpus callosum compared to the control group(P<0.05),while no statistically significant between-group differences were observed in the regions of anterior limb of the internal capsule,genu of the corpus callosum,and the semioval center(P>0.05).Correlation analysis revealed FA values in the midbrain,pons,thalamus,posterior internal capsule,and splenium were significantly positively correlated with GCS scores in the acupuncture group after treatment,particularly in the midbrain(r=0.785)and thalamus(r=0.739).Conclusions Acupuncture combined with conventional awakening therapy can effectively improve the consciousness state of comatose patients with TBI.The midbrain,pons,thalamus,posterior limb of the internal capsule,and splenium of the corpus callosum may be the key regions affected by acupuncture.The underlying mechanism may be related to promoting the repair and remodeling of white matter fibers in these critical areas.

Objective To investigate the clinical characteristics and prognostic factors of Staphylococcus aureus bloodstream infections in adult patients for improving clinical treatment and identifying potential interventions.Methods Clinical data of inpatients diagnosed with S.aureus bloodstream infection confirmed by blood culture in a hospital from January 2016 to December 2023 were retrospectively reviewed.The data included patient age,gender,history of hospital admission,department of admission,underlying diseases,primary infection,quick Pitt bacteremia score(qPitt),invasive treatment,empirical anti-infective treatment,and treatment outcomes.Patients were assigned to case group or control group according to whether they died in hospital in order to identify the prognostic factors of patient outcomes.Binary logistic regression analysis was used to identify independent prognostic factors.Results A total of 233 cases of S.aureus bacteremia were identified.Multivariate logistic regression analysis showed that age ≥ 70 years old(OR=4.725,95％CI:1.228-18.173,P=0.024),diabetes mellitus(OR=8.161,95％CI:1.954-34.086,P=0.004),Charlson comorbidity index(CCI)≥ 5(OR=7.672,95％CI:1.901-30.963,P=0.004),hospital infection(OR=7.853,95％CI:1.588-38.832,P=0.012),and qPitt ≥ 2(OR=23.189,95％CI:4.461-120.552,P＜0.001)were independent prognostic factors for poor outcome of patients with S.aureus bacteremia,while catheter-associated infection(OR=0.051,95％CI:0.005-0.579,P=0.016)was negatively correlated with mortality.Conclusions Advanced age,diabetes mellitus,high CCI,hospital infection,and high qPitt were independent prognostic factors for poor outcomes of patients with S.aureus bacteremia.The patients should be well managed by timely removal of eradicable lesions to improve patient outcomes.

[Objective]To explore the patterns of diagnosis and prescription in traditional Chinese medicine(TCM),specifically using Polygala tenuifolia Willd formulas,for the treatment of Alzheimer's disease(AD),grounded in the fundamental theories of TCM.[Methods]The medical case documents containing"Poly gala tenuifolia Willd formula for dementia"were included in China National Knowledge Infrastructure(CNKI),VIP,Wanfang and Gujin Medical Case Cloud Platform databases.Furthermore,an Excel 2019 database was created and subsequently standardized.The database was then mined for patterns related to the administration and utilization of medications,by utilizing the Gujin Medical Case Cloud Platform and the Python programming language.Following standardization,the drug application rules were explored by using the Ancient and Modern Medical Case Cloud Platform and Python.[Results]It employed the Ancient and Modern Medical Case Cloud Platform and Python following standardization.A total of 211 kinds of drugs were recorded in 165 medical records,with warm being the most prevalent,followed by neutral.These drugs were mainly sweet,pungent and bitter in taste,and the main effects of the drugs were attributed to the liver,heart,kidney,spleen and lung meridians,and most of the drugs that were paired with Poly gala tenuifolia Willd had functions of opening the orifices,inducing drainage and seepage of dampness,invigorating blood circulation,removing blood stasis and tonifying the deficiency.Acorus calamus and Poly gala tenuifolia Willd were the core pair of drugs with the common dosage of 10 g and 15 g respectively,and the proportion of the two was mostly 1︰1,2︰3.Acorus calamus-Poly gala tenuifolia Willd was often paired with Poria,commonly used pairs were Radix Rehmanniae Preparata-Cornu Cervi,Ligusticum Chuanxiong-Salviae Miltiorrhizae,the complex network analysis showed that the core composition of treating AD was the prescription of Kaixin Powder which removed ginseng but added with the participation of the Radix Rehmanniae Preparata,Salviae Miltiorrhizae,Ligusticum Chuanxiong and Glycyrrhiza glabra.[Conclusion]In this study,among the formulas containing Polygala tenuifolia Willd for AD,the highest correlation was found between Polygala tenuifolia Willd and Acorus calamus,which was mainly used to replenish deficiency and for diarrhea,and focused on strengthening the spleen,resolving dampness and expelling phlegm,regulating the liver and activating the blood,and benefiting the kidneys and filling in the marrow on the basis of tranquilizing the spirit and opening up the aperture to awaken the mind.The preliminary clarification of the medication law of the formulas containing Polygala tenuifolia Willd for the treatment of AD can provide a basis for the clinical use of medication and the development of new prescriptions.

Objective:To explore the characteristics of gut microbiota changes in individuals with Sarcopenic Obesity(SO)based on 16S rRNA sequencing.Methods:This cross-sectional study was conducted in Chongming District, Shanghai from April to November 2021.Fecal samples were collected from 20 elderly SO patients (case group)and 40 elderly non-SO individuals(control group)for 16S rRNA sequencing in order to analyze the diversity, structural composition, and species differences of gut microbiota, and then to predict the differential metabolic functions of the gut microbiota.Results:A total of 60 subjects were included.The case group consisted of 20 individuals(15 males and 5 females)with an average age of 73.15 ± 4.09 years; the control group included 40 individuals(20 males and 20 females)with an average age of 71.20 ± 4.12 years.The α-diversity analysis revealed that the richness indices ACE and Chao 1 of the case group were significantly lower than those of the control group( P<0.05), while the diversity indices Shannon and Simpson showed a trend of being lower in the case group, but the differences were not statistically significant( P>0.05). Principal coordinate analysis based on the Unweighted-unifrac distance metric demonstrated a statistically significant difference in β-diversity between the two groups( P=0.003). The structure and composition of the gut microbiota in the case group were altered, with a significant reduction in the relative abundance of the Blautia genus in the case group( P<0.05). LEfSe analysis identified 5 and 16 enriched microbial species in the case and control groups, respectively (Linear Discriminant Analysis score >2, P<0.05). Additionally, PICRUSt2 functional prediction revealed significant differences( P<0.05)in metabolic pathways between the two groups, including quorum sensing, fat digestion and absorption, and folate biosynthesis. Conclusions:The gut microbiota in elderly SO patients is disordered, mainly manifested as a decrease in diversity and characteristic changes in structural composition, as well as a reduction in the abundance of the beneficial bacterium Blautia.The Progression of SO is closely associated with gut microbiota metabolic disturbances, and targeting the gut microbiota is expected to become a novel therapeutic approach for SO.