Pegylated interferon α-2b （PEG-IFN-α-2b） is currently a first-line drug for the treatment of chronic hepatitis B virus infection and is widely used in clinical practice. This drug has multiple effects of inhibiting viral replication， regulating immunity， and improving liver function， and some patients can achieve clinical cure. However， it often causes various adverse reactions during treatment， which are important factors for compromising treatment compliance and efficacy. This article systematically reviews the adverse reactions and their mechanisms during PEG-IFN-α-2b therapy for chronic hepatitis B， including influenza-like symptoms， peripheral blood cytopenia， thyroid dysfunction， and neuropsychiatric symptoms， and it also summarizes the monitoring and management strategies for these adverse reactions， in order to provide evidence-based guidance for clinical decision-making and emphasize the importance of individualized treatment.

Objective To explore the risk factors for postoperative pneumonia (POP) following esophagectomy for esophageal cancer, and to identify potential clinical indicators for predicting POP. Methods A retrospective analysis was conducted on the clinical data of patients with esophageal cancer who underwent esophagectomy at the Department of Thoracic Surgery, West China Hospital of Sichuan University from 2017 to 2021. Perioperative clinical indicators were collected to analyze the risk factors for the occurrence of POP. Patients were divided into a POP group and a non-POP group according to whether POP occurred. Results A total of 613 patients with esophageal cancer were included, comprising 472 males and 141 females, with a median age of 62.0 (53.0, 67.0) years. Among them, 51 patients were in the POP group, and 562 patients were in the non-POP group. Multivariate logistic regression analysis showed that the forced expiratory volume in 1 second percentage of predicted (FEV1%) [OR=0.958, 95%CI (0.943, 0.973), P<0.001], systemic immune-inflammation index (SII) [OR=1.001, 95%CI (1.000, 1.002), P=0.007], and prognostic nutritional index (PNI) [OR=0.869, 95% CI (0.813, 0.928), P<0.001] were independent risk factors for POP. Receiver operating characteristic (ROC) curve analysis combining FEV1%, SII, and PNI demonstrated that the area under the curve (AUC) for predicting POP was 0.826 [95%CI (0.793, 0.855), cut-off value: 0.08, sensitivity: 80.3%, specificity: 72.4%, Youden index: 0.528, P<0.001]. Cross-validation confirmed that the combined indicators had the highest predictive efficacy, which was significantly superior to that of any single indicator alone. Conclusion Preoperative levels of FEV1%, SII, and PNI are closely associated with the occurrence of POP following surgery for esophageal cancer. The combined application of FEV1%, SII, and PNI demonstrates good predictive efficacy for the occurrence of POP.

Abstract Modern western medicine typically focuses on treating specific symptoms or diseases, and traditional Chinese medicine (TCM) emphasizes the interconnections of the body’s various systems under external environment and takes a holistic approach to preventing and treating diseases. Phenomics was initially introduced to the field of TCM in 2008 as a new discipline that studies the laws of integrated and dynamic changes of human clinical phenomes under the scope of the theories and practices of TCM based on phenomics. While TCM Phenomics 1.0 has initially established a clinical phenomic system centered on Zhenghou (a TCM definition of clinical phenome), bottlenecks remain in data standardization, mechanistic interpretation, and precision intervention. Here, we systematically elaborates on the theoretical foundations, technical pathways, and future challenges of integrating digital medicine with TCM phenomics under the framework of “TCM phenomics 2.0”, which is supported by digital medicine technologies such as artificial intelligence, wearable devices, medical digital twins, and multi-omics integration. This framework aims to construct a closed-loop system of “Zhenghou–Phenome–Mechanism–Intervention” and to enable the digitization, standardization, and precision of disease diagnosis and treatment. The integration of digital medicine and TCM phenomics not only promotes the modernization and scientific transformation of TCM theory and practice but also offers new paradigms for precision medicine. In practice, digital tools facilitate multi-source clinical data acquisition and standardization, while AI and big data algorithms help reveal the correlations between clinical Zhenghou phenomes and molecular mechanisms, thereby improving scientific rigor in diagnosis, efficacy evaluation, and personalized intervention. Nevertheless, challenges persist, including data quality and standardization issues, shortage of interdisciplinary talents, and insufficiency of ethical and legal regulations. Future development requires establishing national data-sharing platforms, strengthening international collaboration, fostering interdisciplinary professionals, and improving ethical and legal frameworks. Ultimately, this approach seeks to build a new disease identification and classification system centered on phenomes and to achieve the inheritance, innovation, and modernization of TCM diagnostic and therapeutic patterns.

Gastric cancer has high incidence and mortality rate. Chemotherapy is the first-line treatment for gastric cancer and has achieved considerable success. However, due to genetic variations and tumor heterogeneity, the effectiveness of chemothrapy drugs varies among different patients. Therefore, accurate assessment of patient’s sensitivity to chemotherapy drugs is crucial for personalized treatment. Gastric cancer organoids serve as effective tools for predicting patient’s sensitivity to chemotherapy drugs. This review summarizes the applications and related research progress of gastric cancer organoids in determining chemotherapy drug sensitivity, discusses the strengths and limitations of organoid models, and proposes outlooks for future research directions, hoping that organoids can provide more effective personalized treatment options and a greater range of drug choices for gastric cancer treatment.

This consensus will introduce the characteristics of fillers used in the surgical cavities of domestic nasal surgery patients based on relevant literature and expert opinions. It will also provide recommendations for the selection of cavity fillers for different nasal diseases, with chronic sinusitis as a representative example.
Humans ; Nasal Cavity/surgery* ; Nasal Surgical Procedures ; China ; Consensus ; Sinusitis/surgery* ; Dermal Fillers

The construction of a new cultural system for high-quality development in public hospitals serves as a crucial pillar for achieving their high-quality advancement.During this developmental processe stablishing a cultural framework that aligns with the new development model holds particular significance.Through content analysis methodology,it identifies 18 core elements of the new cultural system for high-quality development in public hospitals.Furthermore it synthesizes seven implementation pathways across three dimensions-organizational patientand employee perspectives:digital leadership organizational reform capability talent innovation capability resource integration capability normative constraint force value co-creation capability and employee support capability.These findings provide both theoretical and practical references for cultivating new cultural constructs that facilitate high-quality development in public hospitals.

(±)-Talapyrones A-F (1-6), six pairs of dimeric polyketide enantiomers featuring unusual 6/6/6 and 6/6/6/5 ring systems, were isolated from the fungus Talaromyces adpressus. Their structures were determined by spectroscopic analysis and HR-ESI-MS data, and their absolute configurations were elucidated using a modified Mosher's method and electronic circular dichroism (ECD) calculations. (±)-Talapyrones A-F (1-6) possess a 6/6/6 tricyclic skeleton, presumably formed through a Michael addition reaction between one molecule of α-pyrone derivative and one molecule of C₈ poly-β-keto chain. In addition, compounds 2/3 and 4/5 are two pairs of C-18 epimers, respectively. Putative biosynthetic pathways of 1-6 were discussed.
Polyketides/isolation & purification* ; Talaromyces/chemistry* ; Stereoisomerism ; Molecular Structure ; Circular Dichroism ; Pyrones/chemistry*

Objective:To explore the prognostic value of monocyte to high-density lipoprotein cholesterol (HDL-C) ratio (MHR) in assessing patients with heart failure with reduced ejection fraction (HFrEF).Methods:Patients with HFrEF (LVEF<40%) admitted to the TEDA International Cardiovascular Disease Hospital between 2 January 2019 and 15 January 2023 were selected. The MHR levels were recorded at admission in patients with HFrEF who were followed up regularly for 12 months. The major adverse cardiovascular events (cardiac death and readmission for heart failure) were defined as poor prognosis. Multivariate Cox regression was used to analyze factors associated with poor prognosis. The receiver operator characteristic (ROC) curves were used to assess the diagnostic value of MHR for poor prognosis. The DeLong test was used to analyze whether there was a difference in the effectiveness of MHR and BNP for detecting poor prognosis. The critical value grouping for poor prognosis was evaluated by MHR, and survival analyses were performed using Kaplan-Meier.Results:A total of 286 subjects were enrolled in the study, including 206 males and 80 females, with a median age ( Q1, Q3) of 67 (58, 74) years. Multivariate Cox regression showed that MHR ( HR=1.482, 95% CI:1.015-2.164) and BNP ( HR=1.001, 95% CI:1.000-1.001) were associated with poor prognosis in patients with HFrEF. The area under the ROC curve for the adjunctive diagnostic value of MHR, BNP and the combination of both for poor prognosis in patients with HFrEF was 0.709, 0.738 and 0.769, respectively. The critical values were 0.486, 1 090 pg/ml and 0.41, respectively. The DeLong test showed no differences in the validity of MHR, BNP and their combination for detecting poor prognosis. Kaplan Meier survival analysis of 12-month follow-up showed that the time for poor prognosis in HFrEF patients with MHR>0.486 group (8.645 months) was significantly shorter than that in MHR≤0.486 group (10.296 months, P<0.001), and the risk of poor prognosis in MHR>0.486 group was 2.843 times higher than that in MHR≤0.486 group ( HR=2.843, 95% CI:1.867-4.327). Conclusion:MHR can be an indicator of poor prognosis in patients with HFrEF.

Objective:To explore the relationship between the differential genes derived from transcriptome mRNA sequencing and prognosis among heart failure patients with mildly reduced ejection fraction (HFmrEF) and preserved ejection fraction (HFpEF).Methods:This was a case-control study. Ten patients with HFmrEF and 10 patients with HFpEF treated at TEDA International Cardiovascular Disease Hospital from November 2021 to January 2022 were selected and differentially expressed genes were screened by transcriptome mRNA sequencing. Ten healthy people served as control group. In addition, 50 patients with HFmrEF, 62 patients with HFpEF, who were treated at TEDA International Cardiovascular Disease Hospital at the same period, were selected as validation groups, 57 healthy people served as control validation group. Real-time quantitative PCR (RT-qPCR) was used to detect the expression of differential genes in each group. Receiver operating characteristic (ROC) curves and the area under the curve (AUC) were used to assess the differential diagnosis and prognostic value of differential genes in these patients. Patients were followed up regularly to document adverse events within 1 year after discharge including cardiac death and readmission for heart failure. Survival analysis was performed using Kaplan-Meier curves and tested by log rank test. Cox regression analysis was used to explore whether differential mRNA was risk factors for poor prognosis in HFmrEF and HFpEF patients.Results:A total of four genes were differentially expressed (three upregulated and one downregulated gene) between the HFmrEF group and HFpEF group (adjust P<0.05). SLC12A1, C15orf48 and SPP1 were associated with the progress of cardiovascular disease, and selected for validation in the clinical cohort. RT-qPCR results showed that the gene expression of SLC12A1 in the HFmrEF group was significantly higher than that in the HFpEF group ( P<0.001). The AUC for the adjunctive differential diagnostic value of SLC12A1 for HFmrEF and HFpEF was 0.802 ( P<0.001) and the AUC of SLC12A1 with a cut-off value of 6.634 was 0.737 ( P=0.003) in determining poor prognosis in patients with HFpEF. Kaplan-Meier survival analysis showed that patients with SLC12A1≤6.634 had a higher incidence of adverse cardiac events than patients with SLC12A1 >6.634 ( P=0.001). Cox regression analysis showed that the risk of adverse cardiac events in the SLC12A1 ≤6.634 group was 6.787 times higher than in the SLC12A1 >6.634 group ( HR=6.787, P=0.011). Conclusions:Transcriptome mRNA sequencing analysis is valuable for detecting clinical relevant differentially expressed genes in HFmrEF and HFpEF patients, among which SLC12A1 can be used as a novel molecular biomarker to aid the differential diagnosis of HFmrEF and HFpEF. In addition, SLC12A1 may be used as an adjunctive biomarker for the prognosis evaluation in patients with HFpEF.

Objective:To investigate the prevalence and severity of symptom burden among long-term survivors of oropharyngeal cancer after radiotherapy, to identify core symptom clusters, and to explore their correlation with quality of life.Methods:A previous retrospective study was conducted by the Cancer Hospital, Chinese Academy of Medical Sciences on patients with oropharyngeal cancer who underwent radiotherapy between January 2010 and December 2020. Patients who were still alive as of December 2023 were further followed and analyzed. From December 2023 to August 2024, symptom burden and quality of life were assessed using the Chinese version of the MD Anderson Symptom Inventory–Head and Neck Module (MDASI-HN) and the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ). Exploratory factor analysis (principal component analysis with Promax rotation) were used to identify symptom clusters. Spearman correlation analysis was performed to explore the relationship between total symptom cluster scores and standardized domain scores of quality of life. Multivariate linear regression analysis was further employed to determine the relationship between identified symptom clusters and overall quality of life.Results:A total of 273 patients were included, with a median follow-up duration of 6.2 years (range: 3.5-14.5 years) and a median age of 61 years (range: 27-88 years) at follow-up. The top 5 incidence rates of symptom reported by patients were mucus problems in the mouth or throat (147 cases, 53.8%), dental or gum issues (143 cases, 52.4%), xerostomia (140 cases, 51.3%), difficulty swallowing or chewing (95 cases, 34.8%), and taste disturbance (79 cases, 28.9%). Among them, xerostomia was the most serious symptom. The most frequently reported interference was impact on work (including household chores) (55 cases, 20.1%). Exploratory factor analysis identified 3 symptom clusters: fatigue-nausea cluster, eating-voice cluster, and xerostomia-sleep cluster, all of which were significantly correlated with lower overall quality of life of patients (all P<0.001). Conclusion:Long-term survivors of oropharyngeal cancer after radiotherapy experience substantial symptom burden. The fatigue-nausea, eating-voice, and xerostomia-sleep clusters are the core symptom clusters impacting quality of life.