Objective: To characterize perioperative dynamic changes in immune-cell phenotypes and inflammatory cytokines in patients undergoing CPB (cardiopulmonary bypass) cardiac surgery, and to explore their associations with postoperative outcomes. Methods: In this prospective cohort study, 120 adult patients who underwent elective cardiac surgery under CPB at West China Hospital from May 2022 to March 2023 were enrolled. Perioperative immune-cell phenotypes and concentrations of 40 inflammation-related cytokines were measured. The primary outcomes were the sequential organ failure assessment (SOFA) score at 24 h after surgery and ΔSOFA (the peak SOFA score within 48 h after surgery minus the preoperative SOFA score). Secondary outcomes included major adverse cardiovascular events (MACE), acute kidney injury (AKI), respiratory failure, severe liver injury, and infection. Results: The mean age of enrolled patients was 57±10 years. Of these, 52% (62/120) were male and 90% (108/120) underwent valve surgery. During the rewarming to the end of CPB, neutrophil counts rapidly increased (7.39×10 /L vs preoperative 3.07×10 /L, P<0.001), with significant upregulation of CD11b (7.30×10 /L vs preoperative 3.05×10 /L, P<0.001) and CD54 (7.15×10 /L vs preoperative 2.99×10 /L, P<0.001). Lymphocyte counts increased at the end of CPB (1.75×10 /L vs preoperative 1.12×10 /L, P<0.001) but decreased significantly at 24 h after surgery (0.59×10 /L vs preoperative 1.12×10 /L, P<0.001). Plasma analysis showed that multiple pro-inflammatory cytokines increased during CPB and remained elevated up to 24 h after surgery; five chemokines and the anti-inflammatory cytokine IL-10 peaked at the end of CPB. The SOFA score increased from 1 (1, 2) preoperatively to 7 (5, 10) at 24 h after surgery, with a ΔSOFA of 6 (4, 8). Within 30 days after surgery, 48 patients (40.0%) developed AKI, 17 (14.2%) developed infection, 4 (3.3%) developed severe liver injury, 3 (2.5%) developed respiratory failure, and 3 (2.5%) experienced MACE. During the 2-year follow-up, 8 patients (6.7%) experienced MACE and 5 (4.2%) died. Conclusion: Multi-organ dysfunction is common after cardiac surgery under CPB (median ΔSOFA, 6), accompanied by perioperative activation of multiple immune-cell subsets and upregulation of pro-inflammatory, anti-inflammatory, and chemotactic mediators. This study provides data-driven evidence and research clues for further investigation of the associations between CPB-related immune perturbations and postoperative organ dysfunction and clinical outcomes.

With the accelerating trend of population aging, the number of elderly patients with lung cancer continues to rise, and the disease burden is becoming increasingly heavy. The clinical management of these patients faces severe challenges due to their decreased physiological reserve, complex comorbidities, and significant individual heterogeneity. Consequently, under traditional diagnosis and treatment models, doctors often struggle to identify the individualized risks of elderly patients in a timely and comprehensive manner, which can easily lead to decision biases such as undertreatment or overtreatment. In view of this, this study advocates for the establishment of an umbrella decision-making model specifically tailored for elderly lung cancer patients. Grounded in a multidisciplinary team (MDT) platform, this model deeply integrates oncological indicators with the comprehensive geriatric assessment (CGA) system. By holistically considering multidimensional variables including tumor burden, organ function, frailty index, cognitive status, and social support, the model establishes an operational mechanism characterized by "single entry, precise stratification, and targeted selection". Accordingly, patients can be scientifically triaged into distinct intervention tiers, such as active surveillance, minimally invasive surgery, drug therapy, radiotherapy, and best supportive care, thereby achieving real-time alignment between treatment intensity and patient fitness. This article elaborates on the construction logic and key operational procedures of this novel decision-making framework, aiming to guide clinical practice beyond the limitations of a tumor-centric perspective toward a holistic, dynamic, whole-course management strategy. This transition seeks to ensure optimal quality of life and clinical net benefit for elderly patients alongside survival prolongation.

Objectives: . The prognostic value of the pretreatment albumin-to-alkaline phosphatase ratio (AAPR) in head and neck cancer (HNC) remains uncertain. This meta-analysis aimed to evaluate the predictive role of AAPR for survival outcomes in patients with HNC. Methods: . A comprehensive search of the Cochrane Library, PubMed, and Embase databases was conducted to identify relevant studies published up to July 30, 2024. We included studies on AAPR and survival outcomes in HNC patients. Results: . Eight studies comprising 1,737 HNC patients were analyzed using random-effects models. Lower AAPR values were significantly correlated with worse overall survival (hazard ratio [HR], 2.08), progression-free survival (HR, 2.00), and disease-free survival (HR, 2.18). Sensitivity analyses confirmed the robustness of these results, with no significant publication bias detected. Conclusion . Our findings suggest that pretreatment AAPR could serve as a valuable and cost-effective prognostic indicator in HNC, potentially aiding clinicians in risk stratification and treatment decision-making. However, additional validation studies are warranted to confirm its clinical applicability.

Purpose: Biomarkers predicting clinically significant prostate cancer (sPC) before biopsy are currently lacking. This study aimed to develop a non-invasive urine test to predict sPC in at-risk men using urinary metabolomic profiles. Materials and Methods: Urine samples from 934 at-risk subjects and 268 treatment-naïve PC patients were subjected to liquid chromatography/mass spectrophotometry (LC-MS)-based metabolomics profiling using both C18 and hydrophilic interaction liquid chromatography (HILIC) column analyses. Four models were constructed (training cohort [n=647]) and validated (validation cohort [n=344]) for different purposes. Model I differentiates PC from benign cases. Models II, III, and a Gleason score model (model GS) predict sPC that is defined as National Comprehensive Cancer Network (NCCN)-categorized favorable-intermediate risk group or higher (Model II), unfavorable-intermediate risk group or higher (Model III), and GS ≥7 PC (model GS), respectively. The metabolomic panels and predicting models were constructed using logistic regression and Akaike information criterion. Results: The best metabolomic panels from the HILIC column include 25, 27, 28 and 26 metabolites in Models I, II, III, and GS, respectively, with area under the curve (AUC) values ranging between 0.82 and 0.91 in the training cohort and between 0.77 and 0.86 in the validation cohort. The combination of the metabolomic panels and five baseline clinical factors that include serum prostate-specific antigen, age, family history of PC, previously negative biopsy, and abnormal digital rectal examination results significantly increased AUCs (range 0.88–0.91). At 90% sensitivity (validation cohort), 33%, 34%, 41%, and 36% of unnecessary biopsies were avoided in Models I, II, III, and GS, respectively. The above results were successfully validated using LC-MS with the C18 column. Conclusions Urinary metabolomic profiles with baseline clinical factors may accurately predict sPC in men with elevated risk before biopsy.

OBJECTIVE To explore the willingness to pay （WTP） of Urumqi residents for community pharmacies’ medication guidance services and its influencing factors， so as to provide data support for the optimization of community pharmacy services and the establishment of a fee structure for medication guidance services. METHODS A stratified quota sampling method was employed to select 14 communities in Urumqi City. From April to June 2025， a combined offline and online questionnaire survey was conducted among adult residents in these communities. The contingent valuation method was used to construct three hypothetical scenarios （namely， basic， enhanced and extended services） of medication counselling in community pharmacies to assess residents’ WTP for these services. Binary Logistic regression was employed to analyze the influencing factors of WTP. RESULTS A total of 576 valid questionnaires were obtained. Under the scenarios of basic， enhanced and extended services， 38.54%， 49.65% and 67.19% of the respondents expressed WTP for the services， respectively. Occupational type， type of basic medical insurance， annual income， perception of pharmacists’ profession， and acceptance level of the service were identified as major influencing factors for WTP （P＜0.05）. CONCLUSIONS The willingness of residents in Urumqi to pay for medication counseling services provided by pharmacists in community pharmacies significantly increases with the enrichment of service content. It is recommended to incorporate basic medication counselling services provided by pharmacists in community pharmacies into medical insurance payment， while value-added services should be partially or fully self-paid by residents. Additionally， efforts should be made to strengthen the promotion of the professional and service value of licensed pharmacists， so as to facilitate the high-quality development of pharmaceutical care.

Objective To construct machine learning models to predict the incidence of linezolid-induced thrombocytopenia(LIT).Methods A total of 198 patients treated with linezolid in a hospital between January 2020 and March 2024 were retrospectively included.Firstly,the patients were divided into LIT and non-LIT groups,and the basic characteristics of the two groups were compared.Then,the variables with significant differences between the two groups were selected as potential risk factors to construct models for predicting LIT,including Logistic regression,decision tree and random forest models,and the prediction performance of the models was evaluated and compared.Results There were 52(26.3％)patients developed LIT during the treatment.The univariate analysis showed significant differences in linezolid trough concentration(Cmin),baseline platelet counts and creatinine clearance,the incidence of cerebrovascular disease,acute respiratory distress syndrome,and abdominal infection in patients with and without LIT.Among the three models built based on these variables,the random forest model has the best predictive performance.The results of variable importance analysis based on random forest model showed that Cmin,baseline platelet count and combined with acute respiratory distress syndrome had higher importance scores.Conclusions The random forest model has high accuracy in predicting the occurrence of LIT,and the risk of LIT is higher in patients with higher levels of linezolid exposure and lower baseline platelets.

Objective:To observe the clinical effect of the Yiqi Yangxue Shengsui Formula in the prevention and treatment of adverse bleeding events caused by platinum-based dual drugs combined with bevacizumab chemotherapy in patients with advanced non-small cell lung cancer (NSCLC). Methods:A prospective, single-center, randomized controlled trial design was adopted. The research subjects were patients with stage Ⅲb-Ⅳb non-squamous NSCLC who were hospitalized at Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine from December 2022 to March 2024. Patients who met the inclusion criteria were randomly assigned to the experimental group and the control group in a 1∶1 ratio. The control group received a platinum-based doublet regimen [pemetrexed disodium for injection+cisplatin/carboplatin, or paclitaxel protein-bound for injection+cisplatin/carboplatin] combined with bevacizumab for 4 courses of treatment; the experimental group was treated with the same regimen plus the traditional Chinese medicine Yiqi Yangxue Shengsui Formula, nourishing blood and generating bone marrow. The primary observation index was the incidence and grade of adverse bleeding events during the 4 courses of treatment. The secondary observation indices were the occurrence time and duration of bleeding, the grade of the lowest platelet count during treatment, the platelet count grade at the time of bleeding, and coagulation function indicators. Results:A total of 77 patients were included, with 39 in the experimental group and 38 in the control group. Among them, 29 were male (37.7%) and 48 were female (62.3%); 35 were aged 65 years or older and 42 were younger than 65 years. There were no statistically significant differences between the 2 groups in terms of gender, age, lung cancer stage, pathological type, and chemotherapy drug selection ( P> 0.05). The incidence of adverse bleeding events in the experimental group was significantly lower than that in the control group [17.9%(7/39) vs. 39.5%(15/38), P=0.037]. There was no statistically significant difference in the grading of adverse bleeding events between the 2 groups ( P>0.05). The duration of bleeding in the experimental group was shorter than that in the control group [(2.57±1.13) days vs. (5.67±1.80) days, P<0.001]. The minimum platelet count classification during the treatment period, and the platelet count classification at the time of bleeding in the experimental group were both better than those in the control group ( P<0.05). The prothrombin time and international normalized ratio when bleeding occurred in the experimental group were both lower than those in the control group [(10.96±0.39) s vs. (11.49±0.50) s and 0.97±0.04 vs. 1.02±0.06, P<0.05]. There were no statistically significant differences between the 2 groups of patients in terms of activated partial thromboplastin time, fibrinogen degradation products and D-dimer ( P>0.05). Conclusion:The Yiqi Yangxue Shengsui formula can effectively prevent and treat bleeding adverse events related to platinum-based dual-drug chemotherapy combined with bevacizumab in patients with advanced NSCLC. The mechanism may be related to the increase of platelet count and the improvement of exogenous coagulation function indicators.

Purpose To explore the clinical and pathological characteristics,diagnostic features,differential diag-nosis,and prognosis of polymorphous low-grade neuroepithelial tumor of the young(PLNTY).Methods Clinical and imaging data from 7 patients with PLNTY were collected.Morphological evaluation was performed using HE staining.Immunohistochemistry with the EnVision method was used to detect the expression of including CD34,BRAF,IDH1,GFAP,Ki67,and other proteins.BRAF gene mutations were detected by real-time PCR,CDKN2A/B and 1p/19q co-deletion were assessed by FISH,and next-generation sequencing(NGS)was performed on selected cases.Results Among the seven patients,six were male and one was female,aged 8-29 years(median age:22 years).Tumors were located in the temporal lobe(5 cases),left insula and anterior temporal lobe(1 case),and frontotemporal lobe(1 case).Six patients had a history of epilepsy.Histologically,all tumors displayed oligodendroglioma-like areas.Two cases exhibited perivascular pseudorosette-like arrangements,and two showed focal cellular pleomorphism.Calcifica-tion and capillary networks were observed in all cases.Immunohistochemically,all tumors were positive for GFAP and Olig-2 and negative for IDH1(R132H).CD34 showed diffuse positivity in all cases.BRAF was positive in five cases.The Ki67 proliferation index ranged from 1％to 5％.Molecularly,all cases were IDH-wild type,with no 1p/19q co-deletion or CDKN2A/B deletion.BRAF V600E mutants were identified in five cases,and FGFR alterations in two.During follow-up(5-48 months),all patients survived;five remained recurrence-free,while two experienced recur-rence.Conclusion As a rare low-grade neuroepithelial tumor,clinicians and pathologists should master the diagnostic key points and differential diagnosis of PLNTY to avoid misdiagnosis and missed diagnosis.

Digital technologies have become an integral part of complete denture restoration. With advancement in computer-aided design and computer-aided manufacturing (CAD/CAM), tools such as intraoral scanning, facial scanning, 3D printing, and numerical control machining are reshaping the workflow of complete denture restoration. Unlike conventional methods that rely heavily on clinical experience and manual techniques, digital technologies offer greater precision, predictability, and efficacy. They also streamline the process by reducing the number of patient visits and improving overall comfort. Despite these improvements, the clinical application of digital complete denture restoration still faces challenges that require further standardization. The major issues include appropriate case selection, establishing consistent digital workflows, and evaluating long-term outcomes. To address these challenges and provide clinical guidance for practitioners, this expert consensus outlines the principles, advantages, and limitations of digital complete denture technology. The aim of this review was to offer practical recommendations on indications, clinical procedures and precautions, evaluation metrics, and outcome assessment to support digital restoration of complete denture in clinical practice.
Humans ; Denture, Complete ; Computer-Aided Design ; Denture Design/methods* ; Consensus ; Printing, Three-Dimensional

Xiaoaiping (XAP) Injection demonstrates the anti-prostate cancer (PCa) effects, yet the underlying mechanism remains unclear. This study aims to investigate the impact of XAP on PCa and elucidate its mechanism of action. PCa cell proliferation was evaluated using a cell counting kit-8 (CCK-8) assay. Cell apoptosis was assessed through Hoechst staining and Western blotting assays. Proteomics technology was employed to identify key molecules and significant signaling pathways modulated by XAP in PCa cells. To further validate potential key genes and important pathways, a series of assays were conducted, including acridine orange (AO) staining, transmission electron microscopy, and immunofluorescence assays. The molecular mechanism of XAP against PCa in vivo was examined using a PC3 xenograft mouse model. Results demonstrated that XAP significantly inhibited cell proliferation in multiple PCa cell lines. In C4-2 and prostate cancer cell line-3 (PC3) cells, XAP induced cellular apoptosis, evidenced by reduced B-cell lymphoma 2 (Bcl-2) levels and elevated Bcl-2-associated X (Bax) levels. Proteomic, immunofluorescence, and quantitative reverse transcription-polymerase chain reaction (qRT-PCR) investigations revealed a strong correlation between forkhead box O3a (FoxO3a) autophagic degradation and the anti-PCa action of XAP. XAP hindered autophagy by reducing the expression levels of autophagy-related protein 5 (Atg5)/autophagy-related protein 12 (Atg12) and enhancing FoxO3a expression and nuclear translocation. Furthermore, XAP exhibited potent anti-PCa action in PC3 xenograft mice and triggered FoxO3a nuclear translocation in tumor tissue. These findings suggest that XAP induces PCa apoptosis via inhibition of FoxO3a autophagic degradation, potentially offering a novel perspective on XAP injection as an effective anticancer therapy for PCa.
Male ; Humans ; Prostatic Neoplasms/physiopathology* ; Autophagy/drug effects* ; Animals ; Drugs, Chinese Herbal/pharmacology* ; Proteomics ; Mice ; Apoptosis/drug effects* ; Cell Line, Tumor ; Cell Proliferation/drug effects* ; Forkhead Box Protein O3/genetics* ; Xenograft Model Antitumor Assays ; Mice, Nude ; Mice, Inbred BALB C