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.

Panretinal photocoagulation(PRP)is the first-line treatment for severe non-proliferative diabetic retinopathy and proliferative diabetic retinopathy(PDR).Its therapeutic efficacy varies due to multiple patient-specific systemic and ocular factors. Despite standardized PRP, some patients fail to show adequate regression of neovascularization and subsequently develop vitreous hemorrhage(VH). In such cases, pars plana vitrectomy(PPV)effectively clears the hemorrhage, restores transparency of the ocular media, supplement PRP, and delays the progression of PDR, thus becoming a critical intervention. With recent advances in surgical techniques, concepts, and equipment, early PPV intervention for VH following PRP has emerged as a growing research focus. Nevertheless, consensus remains lacking regarding its indications, optimal timing, and surgical protocols. This article systematically reviews relevant domestic and international studies, summarizing the surgical timing, approaches, and prognoses of PPV for VH in PDR patients after PRP, aiming to provide evidence-based reference for clinical decision-making and reduce the risk of PDR-related blindness.

OBJECTIVE To evaluate the clinical efficacy of Chaihu anxin capsules in the treatment of mild-to-moderate depression， analyze the influencing factors of its efficacy, construct a nomogram prediction model.METHODS Patients with mild-to-moderate depression treated at The First Hospital of Hebei Medical University from May 1， 2023 to March 10， 2025 were retrospectively included and categorized into Chaihu anxin capsules group and milnacipran group according to treatment regimen. Propensity score matching （PSM） was used to balance baseline characteristics， and treatment efficacy was compared after 8 weeks， including 24 Hamilton Depression Scale （HAMD-24） scores and changes， Hamilton Anxiety Scale （HAMA） scores and changes， and treatment response rate after 8 weeks of treatment. Patients receiving Chaihu anxin capsules were further classified as responders or non-responders based on the occurrence of treatment response. Univariate and multivariate Logistic regression analyses were conducted to identify the influencing factors of treatment response， and a nomogram model was constructed to predict the probability of treatment response， its predictive performance was evaluated using receiver operating characteristic （ROC） curves， calibration curves， and decision curve analysis.RESULTS A total of 297 patients were included before PSM， including 196 patients in the Chaihu anxin capsules group and 101 patients in the milnacipran group. After PSM， each group included 44 patients. After PSM， the HAMD-24 scores and HAMA scores at 8 weeks after treatment in the Chaihu anxin capsules group， as well as the HAMD-24 scores in the milnacipran group， were significantly lower than their respective baseline values （ P ＜0.05）； the change in HAMA score in the Chaihu anxin capsules group was significantly greater than that in the milnacipran group （ P ＝0.04）. Multivariable Logistic regression identified age， total bilirubin， and baseline HAMD-24 score as independent predictors of treatment response （ P ＜0.05）. The area under the ROC curve of the constructed nomogram prediction model was 0.72 （95% confidence interval： 0.637-0.799）， and the corrected Brier score was 0.143 （95% confidence interval： 0.112-0.176）； compared with the “all intervention” and “all non intervention” strategies， applying this nomogram prediction model could achieve higher net benefits within the threshold probability range of 8% to 37%.CONCLUSIONS The efficacy of Chaihu anxin capsules in improving mild-to-moderate depression is comparable to that of milnacipran， and it has certain advantages in improving anxiety symptoms； age， total bilirubin， and baseline HAMD-24 score are independent influencing factors for the treatment response of Chaihu anxin capsules. The nomogram prediction model constructed based on these factors has good discrimination， calibration， and clinical applicability.

Doctor digital twins， as a significant innovative form within the medical metaverse， integrate technologies such as large language models， natural language processing and multimodal learning. They can simulate doctors’ appearance， language style， and certain clinical reasoning， realizing diverse applications such as medical knowledge dissemination， intelligent consultation， health management， and medical education. While enhancing the accessibility and intelligence of healthcare services， doctor digital twins also give rise to multidimensional ethical challenges， such as data security and privacy breaches， algorithmic black box and bias， a crisis of doctor-patient trust， weakening of doctors’ subjectivity， and ambiguities in legal responsibility. This paper systematically reviewed the core concepts and current application status of doctor digital twins， constructing a tripartite analytical dimension centered on “technology， doctor-patient relationship， and law.” It focused on pivotal ethical issues encountered in practical application， including data security， patient informed consent and trust， legal responsibility delineation， and others. These aimed to provide ethical guidance and theoretical support for the sustainable development of doctor digital twins， promote the deep integration of smart healthcare and humanistic care， as well as contribute to building a safer， more trustworthy， and sustainable intelligent healthcare system.

This study aims to analyze the screening results and epidemiological characteristics of prostate cancer (PCa) among elderly males in the rural areas of Songjiang, Shanghai City, through the implementation of a preliminary prostate-specific antigen (PSA) screening based on a community-linkage model, and to explore an effective screening approach. A retrospective observational study design was employed to collect data from residents who underwent PSA screening at Songjiang Hospital affiliated to Shanghai Jiao Tong University School of Medicine, in collaboration with multiple community health service centers in Songjiang District, Shanghai City, between June 2022 and June 2024, through free clinics and annual health examinations. Prostate biopsy was recommended for individuals with total PSA (tPSA) levels >10 ng/ml and those with 4 ng/ml≤tPSA≤10 ng/ml and abnormal free-to-total PSA (f/tPSA) ratios. Clinical characteristics of detected PCa patients were analyzed. Follow-up was conducted through phone calls and home visits by family doctors, coupled with enhanced health education. The results indicated that a total of 17 198 residents participated in the screening, among which 2 234 (12.99%) had tPSA levels between 4 ng/ml and 10 ng/ml, and 257 (1.49%) had tPSA levels >10 ng/ml. Ultimately, 417 residents underwent prostate biopsy, with 171 being diagnosed with PCa, yielding a positive biopsy rate of 41.00% and a PCa detection rate of 0.99%. The predominant pathological subtype among PCa patients was adenocarcinoma (168 cases, 98.24%). Of the 146 PCa patients who received treatment, the majority were classified as intermediate or high-risk (124 cases, 84.93%). Furthermore, with the optimization of the screening model, there was a significant increase in the proportion of subsequent outpatient visits. In conclusion, the community-linkage-based PSA screening model demonstrated high effectiveness in screening for PCa among elderly males in the rural areas of Songjiang, Shanghai City. Epidemiological findings revealed that PCa patients in this region are primarily composed of intermediate and high-risk groups, highlighting the need for intensified early screening and health education.

Objective To explore the related factors of postoperative nutritional risk in elderly patients with proximal femoral nail anti rotation(PFNA)internal fixation and establish a prediction model of malnutrition.Methods A total of 574 elderly patients who underwent PFNA internal fixation in the First Medical Center of Chinese PLA General Hospital from January 2021 to June 2024 were included and divided into malnutrition group(n=389)and good nutrition group(n=185).The differences in 39 indicators in aspects of physiological,psychological,social,economic,environmental and medical fields were compared between the 2 groups.Logistic analysis was used to screen the nutritional risk factors,and then a nomogram model was constructed based on these factors.Results Advanced age,lower BMI,higher postoperative Self-Rating Anxiety Scale(SAS)score,less exercise before fracture,being farmers,higher economic pressure,lower preoperative albumin,preprotein and hemoglobin,and lower Barthel index before fracture were independent risk factors for nutritional risk in patients undergoing PFNA internal fixation(P＜0.05).The nomogram prediction model based on the above factors had an AUC value of 0.995(95％CI:0.987～1.000)in predicting the risk of malnutrition in these patients.When the threshold probability＞0.02,this model could be clinically beneficial in predicting the risk of postoperative malnutrition in patients after PFNA internal fixation.Conclusion Our nutritional risk prediction model based on age,BMI,economic pressure,pre-fracture exercise and preoperative albumin and other indicators is constructed for the elderly patients after PFNA internal fixation,and the model has high accuracy and clinical application value.

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.