OBJECTIVE To analyze the distribution characteristics of mirtazapine steady-state trough concentration and concentration-to-dose ratio （ C / D ）， and to investigate the influence of clinical and genetic factors on C / D . METHODS A retrospective study was conducted on hospitalized patients with depression who received mirtazapine treatment and underwent therapeutic drug monitoring at the First Hospital of Hebei Medical University from May 2022 to May 2025. The collected data included patients’ gender， age， body mass index， daily dose， steady-state trough concentration， smoking status， history of liver disease， drug type， concomitant medications， and CYP2D6 metabolic phenotype. The C / D was calculated. Spearman rank correlation was used to analyze the relationship between mirtazapine steady-state trough concentration and daily dose. Univariate analysis and multiple linear regression model were employed to screen the factors potentially influencing the C / D of mirtazapine. RESULTS A total of 226 patients were included. The daily dose of mirtazapine was 25.00 （24.82， 30.00） mg/d， the steady-state trough concentration was 44.46 （20.00， 70.00） ng/mL， and the C / D was 1.83 （1.00， 2.00） （ng·d）/（mL·mg）. Steady-state trough concentrations were within the reference range （30-80 ng/mL） in 121 patients （53.54%）， below the lower limit in 80 patients （35.40%）， and above the upper limit in 25 patients （11.06%）. A positive correlation was observed between mirtazapine steady-state trough concentration and daily dose （coefficient of determination was 0.320 8， P ＜0.001）. Gender， smoking status， and CYP2D6 metabolic phenotype were significantly associated with the mirtazapine C / D （ P ＜0.05）. CONCLUSIONS Significant interindividual variability exists in mirtazapine steady-state trough concentrations. Gender， smoking status， and CYP2D6 metabolic phenotype are identified as independent influencing factors for the mirtazapine C / D ， with higher C / D ratios observed in females， non-smokers， and intermediate metabolizers.

OBJECTIVE To explore and establish a full-cycle management model for drug traceability codes that aligns with national policy requirements and the practical needs of healthcare institutions， thereby enhancing the refinement of drug management and the level of medication safety. METHODS A tripartite strategy integrating “hardware deployment， system transformation， and process re-engineering” was adopted. This involved the introduction of intelligent identification devices （personal digital assistant， high-definition industrial reader）， the modification of the hospital information system interface， and the re-engineering of workflows （drug warehousing， dispensing and distribution， drug withdrawal， uploading to the insurance platform） to achieve comprehensive， informatized collection and association of drug traceability codes throughout all stages. RESULTS A full-cycle management model for drug traceability codes was successfully established， realizing the goals of making drugs “traceable to their source， trackable in their distribution， and accountable in their responsibility”. The patient waiting time for medication dispensing before and after the implementation was [3.08（1.67，5.58）] min and [3.28（1.77，5.98）] min， respectively. Among them， the patient waiting time under the pre-preparation mode was [3.60（2.13，6.35）] min and [3.50（2.03，6.30）] min， respectively； the patient waiting time under the real-time mode was [2.05（0.83，4.03）] min and [2.78（1.18，5.38）] min， respectively； the number of dispensing errors was 3， 0， respectively； the staffing of relevant positions had not been increased. CONCLUSIONS The drug traceability code management model constructed from a full-cycle perspective effectively meets national policy requirements. It provides data support for refined hospital management and offers solid technical and procedural safeguards for ensuring patient medication safety and strengthening medical insurance fund supervision， demonstrating practical value.

OBJECTIVE To establish the high-performance liquid chromatography （HPLC） fingerprint of Sagina japonica ， and to establish a quantitative analysis of multi-components by single-marker （QAMS） method for simultaneous determination of six componen ts in S. japonica ， aiming to provide references for the quality control of this medicinal herb. METHODS HPLC method was used to establish the fingerprints of 12 batches （No. S1-S12） of S . japonica according to Similarity Evaluation System of Chromatographic Fingerprint of Traditional Chinese Medicine . The similarity evaluation and identification of common peaks were conducted， followed by cluster analysis （CA） and principal component analysis （PCA） for 12 batches of samples. Using vicenin-2 as internal reference， the contents of p-hydroxy cinnamic acid， apigenin-6-C-arabinoside-8-C-glucoside， isoorientin， vitexin and 20-hydroxyecdysone were determined by QAMS method. The results were then compared with those obtained by the external standard method. RESULTS The similarities of HPLC fingerprints for 12 batches of S . japonica ranged from 0.828-0.998. A total of 17 common peaks were calibrated， and 6 common peaks were identified. Specifically， peak 5 was identified as vicenin-2， peak 7 as p-hydroxycinnamic acid， peak 10 as apigenin-6-C-arabinoside-8-C-glucoside， peak 11 as isoorientin， peak 13 as vitexin， and peak 15 as 20-hydroxyecdysone. The results of CA showed that S1-S5， S7 and S9-S11 were clustered into one category， S6 was clustered into one category， and S8 and S12 were clustered into one category. The results of PCA revealed that the accumulative contribution rate of the four main components was 89.430%. The content ranges measured by QAMS method for p-hydroxy cinnamic acid， apigenin-6-C-arabinoside-8-C-glucoside， isoorientin， vitexin and 20-hydroxyecdysone were 0.017 4-0.269 4， 0.568 8-4.240 3， 0.503 2-5.040 3， 0.024 0-0.132 0 and 2.551 3-4.881 1 mg/g， respectively. There was no significant difference in the contents of components measured between QAMS method and the external standard method （ P ＞0.05）. CONCLUSIONS The established HPLC fingerprint and QAMS method can be used for quality evaluation and quality control of S . japonica.

To review the clinical characteristics, short-term outcomes, and risk factors of patients with infective endocarditis(IE) who underwent surgical treatment at a single center, and to summarize treatment experience.

The intestine is a complex symbiotic system, and the gut microbiota is closely related to host health. Studies have indicated that the gut microbiota influences physiological functions of the host by producing a variety of metabolites, which act as signaling molecules and substrates for metabolic reactions in the host. Dysbiosis of the gut microbiota affects the abundance of gut microbiota-derived metabolites, thereby influencing host health by disrupting signal transduction in multiple organs. Additionally, dietary compounds can shape the gut microbiota, affecting gut microbiota-derived metabolite levels and regulating host metabolism. This article introduces the methods for mining gut microbiota-derived metabolites, reviews the roles of these metabolites in metabolic diseases and related dietary interventions. Which provides a perspective on the prevention and treatment of metabolic diseases by targeting these metabolites, enriching the knowledge on the role of gut microbiota in the regulation of host metabolism.
Gastrointestinal Microbiome/physiology* ; Humans ; Dysbiosis/microbiology* ; Metabolic Diseases/metabolism* ; Diet

To promote the standardization and normalization of perioperative care for follicular unit extraction(FUE) hair transplantation, ensure treatment efficacy, and align with advancements in the specialty, the Nursing Branch of the Chinese Association of Plastic and Aesthetics organized a panel of domestic experts. By integrating evidence-based medicine with clinical practice experience, and following thorough discussions, these experts developed the Clinical Practice Expert Consensus on Perioperative Nursing Care for Follicular Unit Extraction (2025). This consensus provides a comprehensive overview of hair transplantation, covering preoperative preparation, surgical procedures, intraoperative coordination, postoperative management, and complication prevention and treatment. It serves as a key reference and guide for implementing standardized perioperative nursing care in FUE hair transplantation.

IgA nephropathy（IgAN）is a common primary glomerular disease in children，characterized by the deposition of IgA or IgA-dominant immune complexes in the glomeruli.The clinical manifestations are highly heterogeneous，with some children progressing to end-stage renal disease.The prognosis of IgAN is influenced by multiple factors，involving clinical，pathological，and laboratory examinations.Among the clinical factors，persistent proteinuria，reduced baseline estimated glomerular filtration rate（eGFR），hypertension during follow-up，and hyperuricemia are risk factors for poor prognosis.The predictive value of hematuria remains controversial.Pathologically，the Oxford classification highlights that segmental sclerosis，tubular atrophy/interstitial fibrosis，and crescents are significantly associated with disease progression，with tubular atrophy/interstitial fibrosis serving as an independent risk factor for poor outcomes.The prognostic significance of mesangial hypercellularity and endocapillary hypercellularity requires further validation.Among the biomarkers，serum galactose-deficient IgA 1 and complement-related markers（such as IgA/C3 ratio）show potential predictive value，but need to be supported by large samples studies.This article reviews the clinical，pathological，and biomarker-related risk factors influencing the prognosis of pediatric IgAN，aiming to provide basis for developing risk prediction models and guiding individualized treatment strategies.

Objective To explore the relationship between serum long non-coding RNA X-inactive specific transcript(LncRNA XIST)and microRNA-122-5p(miR-122-5p)expression and the severity of brain injury and prognosis in patients with sepsis-associated encephalopathy(SAE).Methods A total of 108 SAE patients(SAE group)and 52 patients with sepsis only(non-SAE group)admitted to the Ankang Hospital of Tradi-tional Chinese Medicine from January 2019 to December 2023 were selected as the study subjects.According to the degree of brain injury,the SAE patients were categorized into mild brain injury group[Glasgow Coma Scale(GCS)score 13-14,27 cases],moderate brain injury group(GCS score 9-12,36 cases),and severe brain injury group(GCS score 3-8,45 cases).Based on the 28-day prognosis,they were divided into death group(51 cases)and survival group(57 cases).Serum LncRNA XIST and miR-122-5p expression levels were measured using real-time quantitative PCR.The binding site of LncRNA XIST and miR-122-5p was predicted using the StarBase database,and Pearson correlation analysis was performed to evaluate the relationship be-tween serum LncRNA XIST and miR-122-5p expression in SAE patients.Multivariate unconditional Logistic regression was used to determine the association between serum LncRNA XIST,miR-122-5p expression,and prognosis in SAE patients.Receiver operating characteristic curves were used to assess the predictive efficacy of LncRNA XIST and miR-122-5p expression for SAE prognosis.Results Compared with non-SAE group,se-rum LncRNA XIST expression was increased and miR-122-5p expression was decreased in SAE group,with statistical significance(P＜0.05).There were binding sites between LncRNA XIST and miR-122-5p,and the expression of LncRNA XIST in serum of SAE patients was negatively correlated with that of miR-122-5p(P＜0.05).Serum LncRNA XIST expression in mild brain injury group,middle brain injury group and severe brain injury group was increased successively,while miR-122-5p expression was decreased successively,with statistical significance(P＜0.05).The 28-day mortality rate of SAE patients after admission was 47.22％(51/108).Compared with the survival group,the expression of serum LncRNA XIST was higher in the death group,and the expression of miR-122-5p was lower,with statistical significance(P＜0.05).High sequential organ failure assessment(SOFA)score and high expression of LncRNA XIST were independent risk factors for death in SAE patients,while high GCS scores and high miR-122-5p expression of were independent protec-tive factors(P＜0.05).The combined expression of serum LncRNA XIST and miR-122-5p predicted the death of SAE patients with greater area under the curve than that of serum LncRNA XIST and miR-122-5p a-lone(P＜0.05).Conclusion Elevated serum LncRNA XIST and decreased miR-122-5p expression levels are associated with the severity of brain injury and poor prognosis in SAE patients.The combined detection of Ln-cRNA XIST and miR-122-5p has a high predictive value for SAE prognosis.

Objective:Interpret the key differences between the China Health-care Security Diagnosis Related Groups(CHS-DRG)2.0 and CHS-DRG 1.1,and provide reference for optimizing management strategies in medical institutions.Methods:Text analysis was used to import the CHS-DRG 2.0 and 1.1 grouping scheme dictionary data into the SQL database in a structured table format using SQL Server 2014.The key differences between the two schemes in grouping structure,grouping rules,grouping results,and other aspects were identified.Results:CHS-DRG 2.0 version added 26 groups,deleted 3 groups,and refined 10 groups into 20 groups for 14 clinical specialties at the ADRG level compared to CHS-DRG 1.1.Some group codes,names,and grouping rules were adjusted;Adjusted some grouping conditions and grouping results at the DRG level.Conclusion:CHS-DRG 2.0 version has improved grouping efficiency compared to CHS-DRG 1.1,solved some clinical bottleneck problems,and standardized the role of clinical diagnosis in grouping from the perspective of resource consumption.However,it has not completely solved the grouping problems of multi disease co treatment,multi disease treatment,and combined surgery.The adjustment of DRG weights and rates,the follow-up of related supporting policy reforms,and the negative effects of DRG will still pose challenges for medical institutions.

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