OBJECTIVE To study the clinical characteristics and potential risk factors for infection in patients with multiple myeloma （MM） following treatment with bortezomib. METHODS Clinical data were retrospectively collected from MM patients who received bortezomib-based treatment regimens at the Department of Hematology， the Second Affiliated Hospital of Soochow University， from October 2021 to February 2025. The collected data primarily included demographic characteristics， disease characteristics of MM， treatment regimens， occurrence of infections and corresponding management measures， and prophylactic medication use. Univariate and multivariate Logistic regression analyses were conducted to identify potential risk factors for MM complicated with infection. RESULTS Among the 284 MM patients treated with bortezomib， 132 patients （46.5%） experienced at least one infection. The predominant types of infections were respiratory tract infections and gastrointestinal infections. Univariate analysis showed that age at initial diagnosis， pathological classification， and grade of myelosuppression were influencing factors for infection in MM patients （ P ＜0.05）. Further analysis of influencing factors for the two main types of infections revealed that sex， age at initial diagnosis， pathological classification， treatment regimen， and smoking history were influencing factor s for respiratory tract infections in MM patients （ P ＜0.05）； BMI， pathological classification， treatment regimen， and grade of myelosuppression were influencing factors for gastrointestinal infections in MM patients （ P ＜0.05）. Multivariate Logistic regression analysis indicated that age≥70 years and the presence of grade Ⅳ myelosuppression before treatment were risk factors for infection in MM patients， while the IgG-λ type was a protective factor against infection （ P ＜0.05）. CONCLUSIONS The incidence of infection is relatively high in MM patients receiving bortezomib-based treatment regimens， with respiratory and gastrointestinal infections being the most common. Age at initial diagnosis， grade of myelosuppression， and pathological classification are influencing factors for infection in MM patients.

OBJECTIVE To investigate the incidence and outcomes of vancomycin-associated acute kidney injury （VA-AKI） in critically ill patients， to analyze the independent risk factors for the development of VA-AKI and renal function outcomes in VA-AKI patients， and to evaluate the predictive performance of vancomycin treatment duration for VA-AKI occurrence， so as to provide reference for the rational and safe use of this drug.METHODS Clinical data of critically ill patients who received vancomycin during hospitalization in the intensive care unit of Zhongshan Hospital， Fudan University，from January 2022 to December 2024 were retrospectively collected. Patients were divided into the VA‑AKI group and the non‑AKI group according to the occurrence of VA‑AKI. Multivariate Logistic regression analysis was performed to screen for independent risk factors for VA‑AKI development and renal function outcomes in patients with VA‑AKI. The receiver operating characteristic （ROC） curve was used to analyze the predictive performance of vancomycin treatment duration for VA‑AKI.RESULTS A total of 1 484 patients were enrolled， among whom 287 developed VA‑AKI， with an incidence of 19.3%. The overall median time to onset was 2.5 days after vancomycin administration. Complicated hypertension， cardiac or renal insufficiency， hospital‑acquired sepsis/bacteremia， multiple organ failure， invasive mechanical ventilation during hospitalization， vancomycin treatment duration ≥10 days， and concomitant use of carbapenems or tacrolimus were independent risk factors for VA‑AKI （ P ＜0.05）. Concomitant use of vasopressors was an independent risk factor for renal function outcomes in patients with VA‑AKI （ P ＜0.05）. The area under the ROC curve （AUC） of the model using vancomycin treatment duration of predict the occurrence of VA-AKI was 0.624. At the optimal cut‑off value of 9.7 days， the sensitivity and specificity were 47.4% and 74.9%， respectively.CONCLUSIONS Critically ill patients have a relatively high incidence of VA-AKI， which mostly occurs in the early stage of vancomycin therapy. Patients with underlying cardiac-renal diseases， severe infection， requirement for mechanical ventilation， prolonged vancomycin therapy， and concomitant administration of carbapenems or tacrolimus are at high risk for VA-AKI. Concomitant vasopressor use affects renal function recovery in patients with VA-AKI. The predicted risk of acute kidney injury is higher when vancomycin treatment duration is ≥10 days.

In the era of precision medicine, therapeutic strategies for epidermal growth factor receptor (EGFR) mutation-positive non-small cell lung cancer (NSCLC) have become increasingly advanced. However, conventional multidisciplinary team (MDT) models fail to address the demands of dynamic whole-course disease management. This review proposes an evolved learning-oriented MDT system for the standardized management of EGFR mutation-positive NSCLC. Grounded in evidence-based medicine, centered on expert decision-making, and supported by digital integration, this system enables the comprehensive evaluation of patients' individual characteristics, including performance status, psychosocial conditions, and economic affordability. This article elucidates the core management objectives and key PICO-style clinical questions for EGFR mutation-positive NSCLC across critical disease stages, including resectable early-stage disease, stage Ⅲ disease, metastatic/oligoprogressive disease, and tyrosine kinase inhibitor-resistant disease. Based on updated quantitative clinical evidence, we develop a structured framework for the learning-oriented MDT system, covering a multidimensional collaborative structure, standardized node-based workflows, a full-cycle information integration platform, quantitative evaluation indicators, and a closed-loop optimization mechanism. Notably, we propose a multicenter prospective randomized controlled trial design to validate the clinical efficacy of this system. This review analyzes the implementation limitations and potential social impacts of the system and proposes phased optimization and mitigation strategies. This work provides a theoretical framework and practical guidance for establishing a standardized, precise, and humanistic whole-course management model for EGFR mutation-positive NSCLC.

Background Polycyclic aromatic hydrocarbons (PAHs) are significant organic components of PM_2.5 and exhibit carcinogenic and mutagenic properties. Long-term exposure to high level of atmospheric particulate matter and particle-bound PAHs may contribute to the burden of environmentally related diseases in China. Objective To characterize PM_2.5 concentrations and PM_2.5-bound PAHs in three districts of Guangzhou from 2016 to 2024, and to assess the incremental lifetime cancer risk (ILCR) associated with inhalation exposure to PAHs among different population groups. Methods PM_2.5 samples were collected monthly from the 10th to the 16th day of each month at rooftop monitoring sites on office buildings in Yuexiu, Conghua, and Panyu districts between 2016 and 2024. PM_2.5 concentrations were measured, and 16 priority PAHs were quantified using high-performance liquid chromatography (HPLC). Seasonal and regional variations in PM_2.5 and PAH concentrations were analyzed using the Kruskal-Wallis test. Potential PAH sources were identified using diagnostic ratio analysis and principal component analysis (PCA). The ILCR model was employed to estimate inhalation-related cancer risks for different population groups. Results From 2016 to 2024, the annual median PM_2.5 concentrations in Guangzhou were 51.0, 46.0, 45.0, 41.5, 31.0, 32.0, 30.0, 26.0, and 37.5 μg·m⁻³, respectively, showing an overall declining trend. PM_2.5 concentrations varied significantly by season, following the order of winter > spring/autumn > summer (H=475.341, P < 0.001). Spatially, PM_2.5 concentrations were highest in Yuexiu, followed by Panyu and Conghua (H=36.226, P < 0.001). The annual median PAH concentrations were 3.95, 4.22, 3.73, 3.13, 2.54, 2.16, 2.78, 2.36, and 1.75 ng·m⁻³, respectively. PAH concentrations showed a similar seasonal pattern (winter > spring/autumn > summer; H=320.392, P < 0.001). However, their spatial distribution differed from that of PM_2.5: Conghua > Panyu > Yuexiu (H=55.938, P < 0.001). Diagnostic ratios and PCA indicated that the major sources of PAHs were traffic-related emissions (gasoline and diesel combustion) and coal combustion, with additional contributions from petroleum volatilization and biomass burning. Benzo[a]pyrene (BaP) toxic equivalent concentrations declined over time and remained below the Chinese standard limit of 1 ng·m⁻³ after 2018. The median inhalation-related ILCRs were 0.094×10⁻⁶ for children, 0.035×10⁻⁶ for adolescents, and 0.293×10⁻⁶ for adults. Conclusion From 2016 to 2024, PM_2.5 and PM_2.5-bound PAH pollution levels in Guangzhou generally declined. Suburban areas had the lowest PM_2.5 concentrations but the highest PAHs concentrations. Both PM_2.5 and PM_2.5-bound PAHs exhibited significant seasonal variations, with the highest levels in winter and the lowest levels in summer. The primary sources of PAHs were vehicular emissions and coal combustion, and PAHs posed no significant carcinogenic risk to the study population.

This study aims to describe the population and regional distribution characteristics of smoking behavior among adult twins in the China Twin Registry (CNTR), as well as the concordance rates for smoking behavior in monozygotic and dizygotic twins, and estimate the heritability. The study population included adult twins in CNTR who had smoking questionnaire data. A random-effects regression model was used to describe the distribution of smoking behavior among different subgroups based on various characteristics. The concordance of smoking behavior between different zygosity groups was calculated, and heritability was estimated. A total of 28 444 twin pairs were included in this study, with an average age of (36.6±12.0) years. Among male twins, 41.2% were current smokers, while only 1.2% of females smoked. Higher smoking rates were observed among male smokers in the 50-59 age group ( z=23.0, P<0.001), northern regions ( z=2.9, P<0.01), rural areas ( z=-5.2, P<0.001), those who were divorced/widowed ( z=3.8, P<0.001), and first-born twins ( z=-4.3, P<0.001), while lower smoking rates were found in those with higher education ( z=-16.1, P<0.001) and unmarried individuals ( z=-16.0, P<0.001). The smoking concordance rate for male monozygotic twins was 69.6%, significantly higher than the 57.3% concordance rate for dizygotic twins ( χ 2=105.0, P<0.05). The heritability of smoking behavior in male twins was estimated at 28.9% (95% CI: 24.3%-33.4%). Stratified analyses showed differences in heritability across regions and age groups: the heritability in northern regions was 32.6% (95% CI: 27.3%-38.0%), higher than the 21.0% (95% CI: 12.4%-29.5%) observed in southern regions; the highest heritability of 35.1% (95% CI: 26.3%-43.9%) was found in the 18-29 age group, with heritability decreasing with age. In conclusion, the smoking rate and influencing factors in the twin population are similar to those in the general population, with unique characteristics, such as higher smoking rates in first-born twins. Genetic factors have a significant impact on smoking behavior.

In recent years, the situation of climate change has intensified, posing a threat to public health. There is an urgent need to promote public health adaptation actions to climate change. In January 2025, the National Disease Control and Prevention Administration issued the "Guidelines for Public Health Adaptation Actions to Climate Change" (hereinafter referred to as the "Guidelines"). The Guidelines put forward 20 items of guidance on six categories of public health adaptation actions, including understanding basic concepts, comprehending important policies, learning core knowledge, paying attention to key populations, practicing a low-carbon lifestyle, and mastering protection skills. It elaborates on the key concepts and the latest policies that the public needs to understand, and also provides the behavioral concepts and protection skills that should be mastered to adapt to climate change. This article provides a systematic interpretation of the Guidelines, introducing the background, ideas, connotations, and applications of their compilation, with the aim of enhancing society′s cognitive understanding of the Guidelines.

Malignant tumors(commonly referred to as cancer)represent a major global public health challenge and contribute significantly to the worldwide disease burden.Early screening plays a critical role in improving detection rates,enabling timely intervention,and enhancing pa-tient survival rates.However,current cancer screening guidelines primarily focus on site-specific screening,which may not fully address the need for comprehensive early detection.A scientifical-ly rational,multi-cancer screening approach offers several advantages:it optimizes the use of bio-logical samples,reduces time costs for participants,enhances the efficiency and comprehensive-ness of screening,and minimizes overall expenses.Such an approach also facilitates the rational allocation of healthcare resources,ultimately helping to reduce the societal burden of cancer.To address this need,the Cancer Epidemiology Committee of the Chinese Anti-Cancer Association has developed the Expert Consensus on Combined Screening for Common Cancers in China.This consensus integrates multidisciplinary expertise and synthesizes the latest domestic and interna-tional researches on cancer screening,early detection,and treatment for prevalent malignancies.Drawing upon China's unique demographic and healthcare context,as well as practical screening experiences,the consensus provides evidence-based recommendations on target populations,screening technologies,and procedural workflows for multi-cancer screening.These guidelines align with the principles and methodologies established by the World Health Organization(WHO),aiming to:enhance the effectiveness of combined cancer screening in China,improve early detec-tion rates,and provide a scientific foundation for national cancer prevention and control strategies.

Malignant tumors(commonly referred to as cancers)represent a major global public health challenge and contribute substan-tially to the global disease burden.Early screening plays a crucial role in improving detection rates,enabling timely intervention,and enhan-cing patient survival.However,current cancer screening guidelines primarily focus on site-specific screening,which may not fully address the need for comprehensive early detection.A scientifically rational,multi-cancer screening approach offers several advantages:it optimizes the use of biological samples,reduces the time burden for participants,enhances the efficiency and comprehensiveness of screening,and min-imizes overall expenses.Moreover,this approach facilitates rational allocation of healthcare resources,ultimately helping to reduce the soci-etal burden of cancer.To address gap,the Cancer Epidemiology Committee of the China Anti-Cancer Association has developed the Expert Consensus on Combined Screening for Common Cancers.This consensus integrates multidisciplinary expertise and synthesizes the latest do-mestic and international researches on cancer screening,early detection,and treatment of prevalent malignancies.Drawing upon China's unique demographic and healthcare context and practical screening experiences,the consensus provides evidence-based recommendations on target populations,screening technologies,and procedural workflows for multi-cancer screening.These guidelines align with the prin-ciples and methodologies established by the World Health Organization(WHO),aiming to enhance the effectiveness of combined cancer screening in China,improve early detection rates,and provide a scientific foundation for national cancer prevention and control strategies.

A novel analytical method was developed in this study by combining online solid phase extraction with ultra performance liquid chromatography-tandem mass spectrometry(Online SPE-UPLC-MS/MS)for simultaneous determination of 50 kinds of steroid hormones in surface water.Specifically,after high-speed centrifugation of 4 mL water samples,the supernatant was directly injected into an Oasis HLB online SPE column for enrichment and purification.Subsequently,the target compounds were transferred to the analytical column via valve switching for separation and analysis.The chromatographic separation was performed on a Thermo Acclaim RSLC C18 column(100 mm×2.1 mm,2.2 μm),using a mobile phase composed of 5 mmol/L ammonium fluoride aqueous solution and acetonitrile.Mass spectrometric detection was conducted in positive ion mode,utilizing multiple reaction monitoring(MRM)with quantification achieved by the internal standard method.The method validation demonstrated that the limits of detection(LOD)for the 50 kinds of steroid hormones ranged from 0.02 to 0.50 ng/L,while the limits of quantification(LOQ)were between 0.08 and 1.67 ng/L.The average recoveries in surface water samples at spiked concentrations of 5,20 and 200 ng/L were between 74.1％and 119％,with relative standard deviations(RSDs)of 0.2％to 9.9％.This method was applied to analyze 11 surface water samples collected from sites surrounding a pharmaceutical and chemical industrial park.A total of 44 kinds of steroid hormones were detected,with concentrations ranging from 0.11 to 88.6 ng/L,revealing the presence of hormone contamination in the environmental waters surrounding industrial areas.Compared with the traditional offline SPE methods,the proposed online SPE technique significantly reduced sample volume requirements and pretreatment time,while minimizing the loss of target compounds during the pretreatment process.Moreover,compared to reported online SPE techniques,this method achieved high-throughput analysis of multiple classes of steroid hormones,with lower detection limits and higher recoveries.Overall,this method provided rapid sample preparation,high sensitivity,and excellent stability,making it suitable for the direct analysis of trace steroid hormones in surface water.

Objectives:To explore the independent and combined effects of sleep duration and physical activity(PA)on the incidence of cardiovascular disease(CVD).Methods:The study subjects were derived from three sub-cohorts of the China-PAR project.Information on sleep and PA was collected from the surveys conducted in 2007-2008,and the incidence and mortality data of CVD were obtained during the follow-up survey from 2012 to 2015.Sleep duration was categorized into≤6 h/d,>6-8 h/d,and>8 h/d,and the PA level was classified according to the tertiles of PA volume(MET-h/d).The Cox proportional hazards model stratified by cohort source was applied to estimate the associations of PA and sleep duration with CVD incidence,coronary heart disease(CHD)incidence,and stroke incidence.Results:A total of 93 933 participants were included.During an average follow-up of(5.82±0.98)years,3 862 CVD events were documented.Compared with the low PA group,the hazard ratios(HRs)and 95%confidence intervals(CIs)of the CVD incidence,CHD incidence,and stroke incidence for the high PA group were 0.73(0.65-0.82),0.62(0.49-0.77)and 0.88(0.76-1.01),respectively.A U-shaped relation between sleep duration and incidence of CVD and stroke was observed.Compared with those who slept for>6-8 h/d,the risk of CVD(HR[95%CI]:1.10[1.00-1.21],P=0.04)and stroke(HR[95%CI]:1.33[1.18-1.49],P<0.01)was higher among participants slept>8 h/d.The risk of CVD,CHD and stroke tended to be higher in the≤6 h/d sleep group.Compared with the high PA combined with>6-8 h/d,the risk of stroke was highest in the high PA combined with>8h/d sleep group(HR[95%CI]:1.74[1.37-2.22],P<0.05),while the risks of CVD(HR[95%CI]:1.69[1.39-2.04],P<0.05)and CHD(HR[95%CI]:1.99[1.41-2.81],P<0.05)were highest in the low PA combined with≤6 h/d sleep group.Conclusions:Adequate physical activity and appropriate sleep duration are associated with lower risk of morbidity from CVD,CHD and stroke.