BackgroundLow medication compliance among patients with severe mental disorders increases the disease burden on both the patients' families and the society. Medication adherence is influenced by numerous factors. Traditional methods such as Logistic regression struggle to quantify the importance of these factors. By introducing Extreme Gradient Boosting （XGBoost） combined with Shapley Additive Explanations （SHAP）， enables the quantification of the relative contribution weights of each factor， providing support for identifying the core influencing factors. ObjectiveTo explore the influencing factors of medication adherence among patients with severe mental disorders in Zhuhai， aiming to provide references for optimizing patient management strategies. MethodsExtract the data of patients with severe mental disorders who were registered on the mental health system platform in Zhuhai City from January 1， 2023 to March 31， 2025. A total of 9 329 patients were finally included for analysis. Influencing factors were screened using univariate analysis and multivariate logistic regression analysis， and an XGBoost model combined with the SHAP algorithm was constructed to quantify the importance of each influencing factor. ResultsAmong 9 329 patients， 8 446 demonstrated medication adherence， yielding an adherence rate of 90.53%. Multivariable analysis identified several risk factors significantly associated with medication non-adherence， being unmarried （OR=1.237， 95% CI： 1.019–1.502） or divorced （OR=1.389， 95% CI： 1.038–1.832）， a diagnosis of mental retardation with psychiatric disorders （OR=3.025， 95% CI： 2.402–3.796） or paranoid psychosis （OR=5.117， 95% CI： 3.086–8.299）， a disease duration of 2–4 years （OR=1.355， 95% CI： 1.085–1.696）， 4–6 years （OR=2.143， 95% CI： 1.671–2.747）， or >6 years （OR=1.681， 95% CI： 1.365–2.079）， lack of guardian subsidies （OR=1.412， 95% CI： 1.099–1.801）， absence of a disability certificate （OR=1.900， 95% CI： 1.588–2.282）， not being enrolled in care and support groups （OR=1.384， 95% CI： 1.183–1.617） or community services （OR=1.313， 95% CI： 1.042–1.645）， and not cohabiting with a guardian （OR=1.257， 95% CI： 1.048–1.501）. Conversely， the enrollment in special outpatient disease programs （OR=0.716， 95% CI： 0.609–0.842） and a family history of mental illness （OR=0.713， 95% CI： 0.503–0.982） were identified as protective factors. The XGBoost model exhibited robust predictive performance， with a sensitivity of 0.433， specificity of 0.944， accuracy of 0.891， Area Under the Curve （AUC） of 0.837， and F1 value of 0.449. Feature importance ranking indicated that the top three factors were disease duration， diagnosis， and the acquisition of disability certificates. ConclusionPolicy-based support （acquisition of disability certificates， special outpatient disease enrollment） and clinical disease characteristics （disease duration， diagnosis type） are key factors affecting medication adherence among patients with severe mental disorders in Zhuhai City. ［Funded by Zhuhai Medical Research Project （number， 2220009000281）］

ObjectiveTo construct a risk prediction model for frequent acute exacerbations of chronic obstructive pulmonary disease （COPD） under disease-syndrome combination， thus providing decision support for precise clinical intervention. MethodsA total of 2 029 patients with acute exacerbations of COPD admitted to the First Affiliated Hospital of Anhui University of Chinese Medicine from January 2020 to August 2024 were retrospectively included. These patients were classified into groups of frequent acute exacerbations （≥2 times/year） and infrequent acute exacerbations （<2 times/year） according to the hospitalization times per year. Risk factors were screened by LASSO regression combined with logistic regression， and a nomogram model was constructed. The model performance was assessed based on the area under the curve （AUC）， calibration curves， and decision curve analysis （DCA）. ResultsThe differences in baseline characteristics between the frequent acute exacerbations group （1 196 cases） and infrequent acute exacerbations group （833 cases） were not statistically significant. LASSO regression combined with multivariate logistic regression screened the following independent risk factors： body mass index （BMI）， hospitalization days， number of smoking years， place of residence， use of noninvasive ventilators， oxygen-demanding therapy， liver cirrhosis， use of systemic glucocorticosteroids， and traditional Chinese medicine syndrome （phlegm and stasis obstructing the lung）. The nomogram model showed good discrimination and calibration in both the training set （AUC=0.748） and validation set （AUC=0.774）. ConclusionThe risk prediction model for frequent acute exacerbations of COPD， integrating traditional Chinese medicine syndrome， constructed in this study has high accuracy. It can provide a scientific basis for early clinical identification of high-risk patients and individualized intervention.

Transarterial radioembolization (TARE) is a widely utilized therapeutic approach for hepatocellular carcinoma (HCC), however, the clinical implementation is constrained by the stringent preparation conditions of radioembolization agents. Herein, we incorporated the superstable homogeneous iodinated formulation technology (SHIFT), simultaneously utilizing an enhanced solvent form in a carbon dioxide supercritical fluid environment, to encapsulate radionuclides (such as ¹³¹I,¹⁷⁷Lu, or ¹⁸F) with lipiodol for the preparation of radiolipiodol. The resulting radiolipiodol exhibited exceptional stability and ultra-high labeling efficiency (≥99%) and displayed notable intratumoral radionuclide retention and in vivo stability more than 2 weeks following locoregional injection in subcutaneous tumors in mice and orthotopic liver tumors in rats and rabbits. Given these encouraging findings, ¹⁸F was authorized as a radiotracer in radiolipiodol for clinical trials in HCC patients, and showed a favorable tumor accumulation, with a tumor-to-liver uptake ratio of ≥50 and minimal radionuclide leakage, confirming the feasibility of SHIFT for TARE applications. In the context of transforming from preclinical to clinical screening, the preparation of radiolipiodol by SHIFT represents an innovative physical strategy for radionuclide encapsulation. Hence, this work offers a reliable and efficient approach for TARE in HCC, showing considerable promise for clinical application (ChiCTR2400087731).

[This corrects the article DOI: 10.1016/j.jpha.2023.08.006.].

OBJECTIVE: To explore the clinical significance of circulating tumor DNA (ctDNA) in response evaluation and relapse monitoring for patients with primary mediastinal large B-cell lymphoma (PMBCL). METHODS: The clinical characteristics, efficacy and survival of 38 PMBCL patients in our hospital from January 2010 to April 2020 were retrospectively analyzed. The ctDNA monitoring was conducted by targeted next-generation sequencing (NGS). RESULTS: Among the 38 patients, 26 cases were female, and 32 cases were diagnosed with Ann Arbor stage I-II. The 5-year overall survival (OS) rate and progression-free survival (PFS) rate were 74.7% and 61.7%, respectively. Males and those with high aaIPI scores (3 points) had a relatively poor prognosis. The NGS results of 23 patients showed that STAT6 (65.2%), SOCS1 (56.5%), and TNFAIP3 (56.5%) were the most common mutated genes. Patients with stable disease (SD)/progressive disease (PD) exhibited enrichment in cell cycle, FoxO, and TNF signaling pathways. A total of 29 patients underwent end-of-treatment PET/CT (EOT PET/CT), and 16 of them received ctDNA monitoring with 12 negative. Among 6 patients with EOT PET/CT positive (Deauville 4), 4 underwent ctDNA monitoring, and 3 of them were negative, being still in continuous remission without any subsequent anti-tumor therapy. CONCLUSION CtDNA may be combined with PET/CT to assess efficacy, monitor relapse, and guide treatment of PMBCL.
Humans ; Circulating Tumor DNA/blood* ; Female ; Mediastinal Neoplasms ; Male ; Retrospective Studies ; High-Throughput Nucleotide Sequencing ; Prognosis ; Lymphoma, Large B-Cell, Diffuse/genetics* ; Middle Aged ; Adult ; Aged ; Neoplasm Recurrence, Local ; Mutation

Integrated metabolomic and lipidomic profiling,utilizing liquid chromatography coupled with high-resolution mass spectrometry(LC-HRMS),has emerged as a pivotal strategy for biomarker discovery.However,the inherent polarity disparity between metabolites and lipids complicates simultaneous analysis.To address this,a dual-stationary phase polarity-extended liquid chromatography(PELC)system was developed,which surpassed conventional one-dimensional LC(1D-LC)by enabling comprehensive coverage of both polar and non-polar compounds within a single injection.This system enhanced chromatographic resolution,peak capacity,and throughput while minimizing analytical variability.Extracellular vesicles(EVs),lipid bilayer-enclosed nanoparticles ubiquitously present in biofluids,had gained prominence as reservoirs of cancer biomarkers due to their cargo stability and pathophysiological relevance.Herein,the application of PELC-HRMS for concurrent metabolome-lipidome profiling in EVs was pioneered.A total of 193 metabolites were identified using this technique coupled with MS-DIAL software and Human Metabolome Database.Subsequently,this technique was employed to explore potential biomarkers for prostate cancer(PCa).Multivariate analysis identified 17 differentially abundant metabolites in PCa,implicating dysregulated pathways including purine metabolism,starch and sucrose metabolism,galactose metabolism,cysteine and methionine metabolism,and biosynthesis of unsaturated fatty acids.Notably,creatine(AUC=0.92)and DG 42:5(AUC=0.80)demonstrated robust diagnostic efficacy,attributable to their broad polarity ranges and EV-specific enrichment.This study established PELC as a high-fidelity platform for multi-omics integration in complex biospecimens,advancing mechanistic insights into metabolic rewiring and disease pathophysiology.

Objective:To investigate the correlation between the timing of minimally invasive puncture drainage and the outcome of patients with hypertensive intracerebral hemorrhage (HICH) in the basal ganglia region.Methods:Patients with HICH in the basal ganglia region underwent minimally invasive puncture and drainage at Hanchuan People's Hospital from January 2019 to September 2023 were selected. According to the timing of surgery, the patients were divided into onset to surgery time ≤12-hour group and >12-hour group. According to the modified Rankin Scale score at 90 days after onset, they were divided into a good outcome group (0-2) and a poor outcome group (>2). Multivariate logistic regression analysis was used to evaluate the independent influencing factors of functional outcome. Results:A total of 150 patients were included, with 78 males (52.00%), aged 53.15±4.35 years (range, 40-75 years). Eighty-six patients (57.33%) underwent surgery within 12 hours after onset, while 64 (42.67%) underwent surgery after 12 hours; 97 patients (64.67%) had good outcome, while 53 (35.33%) had poor outcome. Univariate analysis showed that compared with the onset to surgery time ≤12-hour group, the onset to surgery time >12-hour group had a longer time from onset to admission, a larger postoperative hematoma volume, longer hospitalization time, lower postoperative hematoma clearance rate, and a higher proportion of patients with poor outcome and deaths within 90 days (all P<0.05). Compared with the good outcome group, the poor outcome group had a longer time from onset to admission, higher baseline National Institutes of Health Stroke Scale (NIHSS) scores, larger baseline and postoperative hematoma volumes, and a higher proportion of patients with onset to surgery time >12 hours. However, the postoperative hematoma clearance rate, baseline Glasgow Coma Scale (GCS) score, and the proportion of patients with baseline GCS score >8 was lower in the poor outcome group (all P<0.05). Multivariate logistic regression analysis showed that the higher baseline NIHSS score (odds ratio [ OR] 1.847, 95% confidence interval [ CI] 1.362-2.503; P=0.001) and the time from onset to surgery >12 hours (compared with ≤12 hours: OR 1.347, 95% CI 1.058-1.715; P=0.016) were the independent risk factors for poor outcome, while higher baseline GCS scores ( OR 0.723, 95% CI 0.558-0.937; P=0.006) and higher postoperative hematoma clearance rates ( OR 0.615, 95% CI 0.462-0.819; P=0.004) were the independent protective factors for good outcome. Conclusion:In patients with HICH in basal ganglia, it is ideal to perform minimally invasive puncture and drainage within 12 h after onset, and the postoperative recovery is relatively better.

BACKGROUND:Black phosphorus has a high degree of homology with human bone,so it has been extensively studied in the field of bone tissue engineering in recent years.Since 2014,two-dimensional black phosphorus materials have garned significant attention in the field of biomedicine due to their excellent exceptional physical,chemical,and biological properties. OBJECTIVE:To summarize the advancements made in black phosphorus-based nanomaterials for bone tissue engineering,focus on the synthesis methods,osteogenic characteristics,and applications in biomaterials pertaining to two-dimensional black phosphorus nanomaterials. METHODS:Chinese and English key words were"black phosphorus,bone tissue engineering,bone defect,bone regeneration,osteogenesis."Relevant articles in PubMed and CNKI databases from January 2014 to December 2023 were searched.After exclusion and screening,96 articles were analyzed. RESULTS AND CONCLUSION:Black phosphorus nanomaterials play an important role in bone tissue engineering due to their good biocompatibility,biodegradability,photothermal action,antibacterial ability,drug loading performance,and special osteogenic effect,and are ideal candidate materials for promoting bone regeneration.The preparation of black phosphorus nanomaterials is mainly a top-down top-layer stripping method.The main principle is to weaken the van der Waals force between the black phosphorus layers by physical or chemical means to obtain a single or less layer of phosphanse,that is,black phosphorus nanosheets or quantum dots.Black phosphate-based nanocomposites are mainly divided into hydrogels,3D printing scaffolds,composite scaffolds,electrospinning,bionic periosteum,microspheres,and bionic coatings.The research of nano-black phosphorus in bone tissue engineering is in its infancy,and still faces many challenges:the behavior of black phosphorus in vivo and the interaction mechanism with various biomolecules need to be further studied.The long-term potential toxicity of black phosphorus is unknown.The manufacturing process for black phosphorus is difficult to control.Therefore,how to develop uniform size,safe,reliable,and efficient nano black phosphorus and transform it into clinical application requires interdisciplinary research on modern biomedical technology,physicochemical technology,and precision manufacturing technology.

Objective:To explore the role of long noncoding RNA(lncRNA) CCDC18-AS1 in parathyroid carcinoma(PC) diagnosis.Methods:This cross-sectional study included 55 patients with primary hyperparathyroidism treated at Beijing Shijitan Hospital from 2013 to 2024. Of these, 12 patients were diagnosed with PC and 43 with parathyroid adenoma(PA). Tissue samples and clinical data were collected, and lncRNA CCDC18-AS1 expression were measured using real-time quantitative PCR(RT-qPCR).Results:LncRNA CCDC18-AS1 expression was significantly higher in the PC group than that in the PA group( P=0.003). It was identified as an independent risk factor for PC, independent of age, sex, or serum calcium levels. Among patients with hypophosphatemia, no significant differences in lncRNA CCDC18-AS1 expression was observed between the PC and PA groups. However, in patients with normal serum phosphate levels, lncRNA CCDC18-AS1 expression was significantly higher in the PC group( P<0.001) and showed a positive correlation with serum phosphorus concentration( P=0.001). The area under the receiver operating characteristic(ROC) curve(AUC) for lncRNA CCDC18-AS1 in PC diagnosis was 0.758(95% CI 0.620-0.866, P=0.005), comparable to that of lncRNA plasmacytoma variant translocation 1(PVT1). Among patients with normal serum phosphate, the AUC for lncRNA CCDC18-AS1 increased to 0.969(95% CI 0.835-0.999, P<0.001), with 100% sensitivity and 92.31% specificity, suggesting superior diagnostic performance compared to PVT1(0.840, 95% CI 0.653-0.950, P=0.001). Conclusions:LncRNA CCDC18-AS1 may serves as a potential biomarker for PC diagnosis, with greater diagnostic value in patients with normal serum phosphorus levels.

Objective:To analyze the clinical characteristics and prognosis of dengue fever inpatients in Guangzhou area, so that to provide references for clinical diagnosis and treatment.Methods:The demographic data, laboratory findings, clinical manifestations, and outcomes of 116 dengue fever cases admitted to Guangzhou Red Cross Hospital, Jinan University and the First Affiliated Hospital, Jinan University from August 1st to December 21st, 2024 were retrospectively analyzed.Results:Among the 116 patients, 99 cases (85.34%) were classified as non-severe dengue, while 17(14.66%) progressed to severe dengue (SD). The cohort was comprised of 62(53.45%) males and 54(46.55%) females, with an age of 63.5(22.0) years, and the hospitalization duration was 6(4) days, with the fever duration of 6(2) days. Sixty-two patients (53.45%) were complicated with comorbidities, among which hypertension (66.13%(41/62)), diabetes mellitus (25.81%(16/62)) and coronary atherosclerotic heart disease (22.58%(14/62)) accounted for the highest proportion. Primary clinical manifestations included fever (113 cases, 97.41%), with 86.21%(100/116) experiencing fever ≥five days, followed by fatigue (92 cases, 79.31%), myalgia (65 cases, 56.03%), anorexia (56 cases, 48.28%), cough/sputum (55 cases, 47.41%), and headache (54 cases, 46.55%). Early laboratory findings revealed leukopenia (2.22(1.75)×10 9/L], lymphopenia (0.63(0.50)×10 9/L), and thrombocytopenia (77.00(57.00)×10 9/L). Among 17 SD cases, 17 cases experienced severe organ damage, two cases had severe gastrointestinal bleeding, and two cases had septic shock. Among the patients with severe organ damage, there were eight cases of severe cardiac injury, followed by six cases of severe respiratory system injury, four cases of multiple organ dysfunction syndrome, three cases of acute kidney injury, three cases of neurological injury, and three cases of disseminated intravascular coagulation. Severe cardiac injury was manifested with acute heart failure in five cases, malignant arrhythmia in three cases, stress cardiomyopathy in one case, and acute myocardial infarction in one case. Severe respiratory system injuries were manifested with acute respiratory distress syndrome in five cases, severe pneumonia in three cases, and acute pulmonary embolism in one case. Neurological damage was manifested with viral meningitis in one case, acute cerebral infarction in one case, and sensorineural hearing loss in one case. All patients were cured or discharged after symptomatic supportive treatment and active prevention and treatment of complications. Conclusions:In 2024, dengue fever inpatients in Guangzhou area predominantly consist of elderly patients, who are complicated with comorbidities and present a high proportion of severe cases. Severe patients are primarily characterized by organ damage, with cardiovascular system injury being the most common severe manifestation. Dengue patients have a good prognosis.