[摘 要] 目的：探讨复发/转移性鼻咽癌（NPC）接受含PD-1单抗免疫治疗的临床特征和预后影响因素。方法：回顾性分析2019年3月至2024年7月期间南部战区总医院确诊的95例NPC患者的临床资料和外周血生化及免疫学指标。预后分析采用Kaplan-Meier曲线，组间比较使用Log-rank检验，采用Cox比例风险模型进行单因素和多因素分析。结果：95例患者中男性81例，女性14例，中位年龄49.72岁（16~74岁），Ⅳ期91例（95.79%），所有患者均采用免疫治疗，联合或不联合化疗方案治疗，中位无进展生存期（mPFS）为10.5个月，客观缓解率（ORR）70.53%，疾病控制率（DCR）89.47%，接受含铂治疗方案患者PFS相对更长，且差异有统计学意义。紫杉醇 + 顺铂 + 氟尿嘧啶（TPF）对比吉西他滨 + 顺铂（GP）和紫杉醇 + 顺铂（TP）显示出更长的PFS，但差异无统计学意义。不同PD-1单抗治疗组间的PFS未显示出有统计学意义的差异。单因素及多因素Cox回归分析结果显示，肿瘤复发状态、初始血浆EBV感染状态、治疗周期数、基线外周血SII是复发/转移性NPC患者接受PD-1抑制剂治疗疗效预测的独立相关因素（均P < 0.05），并且非复发患者、初始血浆EBV DNA阳性、接受 ≥ 4治疗周期、基线外周血SII < 772.81的患者接受PD-1抑制剂治疗预后相对更好。结论：在接受PD-1抑制剂治疗的复发/转移性NPC患者中，非复发患者、初始血浆EBV DNA阳性、≥ 4治疗周期且外周血SII < 772.81者PFS相对更长，可早期识别免疫治疗效果不佳患者并精准干预。

Corn silk, a Traditional Chinese Medicine, has the effect of calming liver, cholagogue, detumescence and diuresis. Corn silk is also widely used as tea and functional food. Natural flavonoids have multiple biological activities, which are also the main bioactive components of corn silk. In the past decade, many new advances have been made in the chemistry, analysis, pharmacology, pharmacokinetics, and safety evaluation of corn silk flavonoids. The chemical composition research of flavonoids has enriched the variety of flavonoids in corn silk. Pharmacological studies have confirmed and expanded the efficacy of corn silk flavonoids. And safety evaluation has provided a theoretical basis for the safe application of corn silk flavonoids. Through literature search, the extraction, separation, compositional analysis, content determination, pharmacological effect, pharmacokinetics, and safety research progress of corn silk flavonoids in the past ten years were reviewed in this paper.

PURPOSE: To evaluate the relationship between the timing of thoracic endovascular aortic repair (TEVAR) for blunt thoracic aortic injury (BTAI) and prognosis. METHODS: This is a single-center retrospective cohort study. Patients who received TEVAR for BTAI at our institution from October 2016 to September 2023 were divided into 2 categories depending on the injury severity score (ISS) (≤ 25 vs. > 25) and when the TEVAR was performed for BTAI (within 24 h vs. after 24 h), respectively. The analysis included all patients who received TEVAR treatment after being diagnosed with BTAI through whole-body CT angiography. Patients treated with open repair and non-operative management were excluded. After propensity-score matching for various factors, outcomes during hospitalization and follow-up were compared. These factors included demographics, comorbidities, concomitant injuries, cause and location of aortic injury, Glasgow coma scale score, society for vascular surgery grading, hemoglobin concentration, creatinine concentration, shock, systolic blood pressure, and heart rate at admission. The comparison was conducted using SPSS 26 software. Continuous variables were presented as either the mean ± standard deviation or median (Q₁, Q₃), and were compared using either the t-test or the Mann-Whitney U test. Categorical variables were expressed as n (%), and comparisons were made between the 2 groups using the χ² test or Fisher's exact test. Statistical significance was defined as a 2-sided p < 0.05. RESULTS: In total, 110 patients were involved in the study, with 65 (59.1%) patients having ISS scores > 25 and 32 (29.1%) receiving immediate TEVAR. The perioperative overall mortality rate in the group with ISS > 25 was significantly higher than that in the group with ISS ≤ 25 (11 (16.9%) vs. 2 (4.4%), p < 0.001). Upon admission, the elective group exhibited a notably higher Glasgow coma scale score (median (Q₁, Q₃)) compared to the immediate group (15 (12, 15) vs. 13.5 (9, 15), p = 0.039), while the creatinine concentration (median (Q₁, Q₃)) at admission was significantly higher in the immediate group (90.5 (63.8, 144.0) vs. 71.5 (58.3, 80.8), p = 0.012). The final sample included 52 matched patients. Complications occurred significantly less frequently in the elective group compared to the immediate group (16 (50.0%) vs. 3 (10.0%), p < 0.001). Single-factor analysis of variance showed that complications in hospitalized patients were significantly associated with immediate TEVAR as the sole independent risk factor (odds ratio: 9.000, 95% confidence interval: 2.266-35.752, p = 0.002). CONCLUSION In this propensity-score matched analysis of patients undergoing TEVAR for BTAI, elective TEVAR was significantly associated with a lower risk of complication rates. In this study using propensity-score matching, patients who underwent elective TEVAR for BTAI had lower complication rates than immediate TEVAR.
Humans ; Retrospective Studies ; Male ; Aorta, Thoracic/surgery* ; Female ; Endovascular Procedures/methods* ; Wounds, Nonpenetrating/mortality* ; Middle Aged ; Adult ; Aged ; Injury Severity Score ; Elective Surgical Procedures ; Time Factors ; Treatment Outcome ; Endovascular Aneurysm Repair

Objective To investigate the sputum metabolic profiles of patients with occupational coal workers' pneumoconiosis (CWP) by an untargeted metabolomics method, and to identify relevant differential metabolic pathways and potential biomarkers. Methods A total of 12 male patients with stage Ⅰ CWP were selected as the CWP group, and 16 healthy male individuals were selected as the control group, using a judgmental sampling method. Sputum metabolites of individuals in both groups were detected to perform non-targeted metabolomic analysis using the ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry. Differential metabolites (DMs) and their pathways were screened using principal component analysis, partial least squares discriminant analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Potential biomarkers were analyzed and identified via the receiver operating characteristic curve (ROC). Results There were apparent metabolic alterations observed in sputum of CWP patients compared with healthy controls. In the positive ion mode, a total of 42 DMs were identified in sputum from CWP patients, including 19 downregulated and 23 upregulated metabolites. In the negative ion mode, a total of 25 DMs were identified in sputum from CWP patients, including 16 downregulated and 9 upregulated metabolites. KEGG enrichment analysis of sputum from CWP patients showed that seven DMs pathways were enriched in ABC transporters, histidine metabolism, phenylalanine metabolism, arachidonic acid metabolism, linoleic acid metabolism, purine metabolism, and oxidative phosphorylation, involving 26 DMs. ROC analysis indicated that 16(R)-hydroxyarachidonic acid, pyrophosphate, and 2-hydroxyphenylacetate of these 26 DMs may serve as potential biomarkers for CWP. Conclusion Sputum metabolomic profiles were altered in CWP patients compared with healthy controls. The potential biomarkers of CWP prevention and treatment are 16(R)-hydroxyarachidonic acid, pyrophosphate, and 2-hydroxyphenylacetate.

OBJECTIVE: To investigate the effect of relaxing needling at the contracted sites of meridian-muscle regions in the patients with post-stroke shoulder-hand syndrome (SHS) at acute stage. METHODS: Eighty patients with post-stroke SHS at acute stage were randomized into an observation group (40 cases, 1 case dropped out) and a control group (40 cases, 1 case was eliminated). In the control group, the routine medication, basic rehabilitation training, and hyperbaric oxygen therapy were administered. In the observation group, besides the treatment as the control group, relaxing needling was delivered at the contracted sites of meridian-muscle regions. These contracted sites were distributed along three yin meridians of hand and three yang meridians of hand on the affected upper limbs. The intervention was given once daily, 5 times a week and for 4 weeks. Before and after treatment, the scores of visual analogue scale (VAS) for pain, edema degree, modified Barthel index (MBI), and Fugl-Meyer assessment (FMA) for motor function, and the integrated electromyography (iEMG) of surface electromyogram (sEMG) were observed in the two groups. The curative effect was evaluated after treatment and in follow-up of 2 months after treatment in the two groups. RESULTS: After treatment, VAS scores and the scores of edema degree were reduced when compared with those before treatment in the two groups (P<0.05), and the scores in the observation group were lower than those in the control group (P<0.05). MBI and FMA scores increased after treatment compared with those before treatment in the two groups (P<0.05), and the scores in the observation group were higher than those in the control group (P<0.05) after treatment. The iEMG values of the biceps brachii, triceps brachii, and wrist extensors were elevated after treatment in comparison with those before treatment (P<0.05) in the two groups, and the values in the observation group were larger than those in the control group after treatment (P<0.05). The total clinical effective rate in the observation group was 92.3% (36/39), which was better than that of the control group (74.4%, 29/39, P<0.05) after treatment; and that of the observation group was 97.4% (38/39), which was better than 82.1% (32/39) in the control group (P<0.05) in follow-up. CONCLUSION Relaxing needling at the contracted sites of meridian-muscle regions in treatment of post-stroke SHS at acute stage can attenuate the symptoms such as upper limb pain, swelling and spasm, improve motor function and the activity of daily living of patients.
Humans ; Male ; Female ; Middle Aged ; Acupuncture Therapy ; Aged ; Meridians ; Stroke/complications* ; Reflex Sympathetic Dystrophy/etiology* ; Adult ; Acupuncture Points

BACKGROUND: The optimal antidepressant dosages remain controversial. This study aimed to analyze the efficacy of antidepressants and characterize their dose-response relationships in the treatments of major depressive disorders (MDD). METHODS: We searched multiple databases, including the Embase, Cochrane Central Register of Controlled Trials, PubMed, and Web of Science, for the studies that were conducted between January 8, 2016, and April 30, 2023. The studies are double-blinded, randomized controlled trials (RCTs) involving the adults (≥18 years) with MDD. The primary outcomes were efficacy of antidepressant and the dose-response relationships. A frequentist network meta-analysis was conducted, treating participants with various dosages of the same antidepressant as a single therapy. We also implemented the model-based meta-analysis (MBMA) using a Bayesian method to explore the dose-response relationships. RESULTS: The network meta-analysis comprised 135,180 participants from 602 studies. All the antidepressants were more effective than the placebo; toludesvenlafaxine had the highest odds ratio (OR) of 4.52 (95% confidence interval [CI]: 2.65-7.72), and reboxetine had the lowest OR of 1.34 (95%CI: 1.14-1.57). Moreover, amitriptyline, clomipramine, and reboxetine showed a linear increase in effect size from low to high doses. The effect size of toludesvenlafaxine increased significantly up to 80 mg/day and subsequently maintained the maximal dose up to 160 mg/day while the predictive curves of nefazodone were fairly flat in different dosages. CONCLUSIONS: Although most antidepressants were more efficacious than placebo in treating MDD, no consistent dose-response relationship between any antidepressants was observed. For most antidepressants, the maximum efficacy was achieved at lower or middle prescribed doses, rather than at the upper limit. REGISTRATION No. CRD42023427480; https://www.crd.york.ac.uk/prospero/display_record.php?
Humans ; Antidepressive Agents/therapeutic use* ; Depressive Disorder, Major/drug therapy* ; Dose-Response Relationship, Drug ; Randomized Controlled Trials as Topic

Traditional Chinese medicine (TCM) represents a paradigmatic approach to personalized medicine, developed through the systematic accumulation and refinement of clinical empirical data over more than 2000 years, and now encompasses large-scale electronic medical records (EMR) and experimental molecular data. Artificial intelligence (AI) has demonstrated its utility in medicine through the development of various expert systems (e.g., MYCIN) since the 1970s. With the emergence of deep learning and large language models (LLMs), AI's potential in medicine shows considerable promise. Consequently, the integration of AI and TCM from both clinical and scientific perspectives presents a fundamental and promising research direction. This survey provides an insightful overview of TCM AI research, summarizing related research tasks from three perspectives: systems-level biological mechanism elucidation, real-world clinical evidence inference, and personalized clinical decision support. The review highlights representative AI methodologies alongside their applications in both TCM scientific inquiry and clinical practice. To critically assess the current state of the field, this work identifies major challenges and opportunities that constrain the development of robust research capabilities-particularly in the mechanistic understanding of TCM syndromes and herbal formulations, novel drug discovery, and the delivery of high-quality, patient-centered clinical care. The findings underscore that future advancements in AI-driven TCM research will rely on the development of high-quality, large-scale data repositories; the construction of comprehensive and domain-specific knowledge graphs (KGs); deeper insights into the biological mechanisms underpinning clinical efficacy; rigorous causal inference frameworks; and intelligent, personalized decision support systems.
Medicine, Chinese Traditional/methods* ; Artificial Intelligence ; Humans ; Precision Medicine ; Decision Support Systems, Clinical

The objectification of tongue and pulse diagnosis in TCM transforms tongue and pulse images into quantitative data through modern technology, and shows multi-dimensional application value in tumor diagnosis and treatment. In terms of tongue diagnosis, the characteristic tongue images of tumor patients are related to pathological indicators such as serum factors and tongue coating microflora, which can assist in diagnosis, syndrome differentiation and efficacy evaluation. The machine learning model preliminarily realizes the recognition of tongue images of tumors such as gastric cancer. In terms of pulse diagnosis, the abnormal pulse condition collected by the sensor is related to the abnormal vascular structure and hemodynamics. The Jin's "chongbo" index and pulse graph parameters can be used for tumor malignancy judgment and efficacy monitoring. The deep learning algorithm improves the accuracy of pulse analysis. However, there are some problems in the current research, such as small sample size, inconsistent equipment standards, and insufficient tongue and pulse information fusion. In the future, through multi-modal data integration, machine learning optimization and large sample verification, it is necessary to promote the combination of tongue and pulse objectification technology and TCM syndrome differentiation theory, build a standardized diagnosis model, and provide objective support for accurate diagnosis and treatment of tumors.

ObjectiveTo investigate the chemical hazards in the production line of lithium batteries, so as to provide a scientific basis for the management of occupational-health risk and to promote the healthy and sustainable development of the lithium battery industry. MethodsAn on-site survey on the process flow of the production of lithium battery was conducted in an enterprise. Volatile organic compounds (VOCs) in the occupational environment were collected by Summa canisters, carbonates and N-methyl pyrrolidone (NMP) were collected using activated carbon tubes, and airborne metals were collected using filter membranes. VOCs, carbonates and NMP were detected by gas chromatography-mass spectrometry (GC-MS), and airborne metal elements in the dust samples were analyzed by inductively coupled plasma mass spectrometry (ICP-MS). ResultsNon-targeted environmental monitoring results indicated that NMP was detected in the negative /positive electrode coating, assembly and drying filling workstations, dimethyl carbonate (DMC) was detected in the assembly, drying and electrolyte injection workstations, and ethyl methyl carbonate (EMC) was detected solely in the electrolyte injection workstation. Semi-quantitative analyses of VOCs identified 136 pollutants, including acrylonitrile and halohydrocarbons. Quantitative targeted environmental monitoring results revealed the highest geometric mean (GM) concentration of EMC (31.450 mg·m^-3) was found in the assembly and drying workstations, diethyl carbonate (DEC) was detected in all workstations. While vinylene carbonate (VC) and ethylene carbonate (EC) were detected only in electrolyte injection, assembly and drying workstations. NMP was detected in all positive electrode coating samples, with a GM concentration of 5.68 mg·m^-3 (concentration range: 4.0‒ 7.4 mg·m^-³). Lithium was exclusively detected in dust samples from the liquid injection workstation (GM: 0.014 μg·m^-³). ConclusionNMP, EMC, DEC, and other chemicals are identified at the key workstations such as the positive electrode coating, electrolyte injection, assembly and drying in the lithium production line. Furthermore, semi-quantitative VOCs analyses identified 136 pollutants, demonstrating a characteristic of multicomponent chemical exposure.