BACKGROUND: The incidence and mortality rates of lung cancer remain on the rise, creating an urgent need for screening among high-risk populations and early prevention. This study aims to explore the association and interaction between multidimensional lifestyle, socioeconomic status, and the incidence of lung cancer, and to provide scientific evidence for screening high-risk populations and preventing lung cancer. METHODS: Healthy lifestyle score was constructed using information on smoking, alcohol consumption, exercise, diet and sleep obtained through a questionnaire survey. Socioeconomic status was evaluated based on information on education, employment, and family income, and genetic testing data were used to assess the risk of genetic variation. A proportional hazards assumption test was conducted, and the Cox proportional hazards model was applied to analyze the associations between healthy lifestyle scores, socioeconomic status, and lung cancer, as well as the interactions among various factors, after adjusting for the risk of genetic variation, age, gender, diabetes, hypertension and the living environment score. RESULTS: A total of 245,538 samples that entered the cohort from March, 2006 to October, 2010 were included and followed up until December 31, 2022. The participants were divided into the case group (n=1472) and the control group (n=244,066). The analysis results showed that after adjusting for covariates, there was still an association between the healthy lifestyle score, socioeconomic status, and the incidence of lung cancer: compared with participants with a high healthy lifestyle score, the risk of lung cancer in participants with medium and low healthy lifestyle scores was significantly increased, with hazard ratios (HR) of 2.12 (95%CI: 1.86-2.41) and 3.36 (95%CI: 2.82-3.99) respectively; compared with participants with high socioeconomic status, the risk of lung cancer in participants with medium and low socioeconomic status was significantly increased, with HR of 1.29 (95%CI: 1.13-1.48) and 1.67 (95%CI: 1.46-1.90) respectively. Moreover, there were interactions between smoking status and socioeconomic status (Pfor interaction=0.05), as well as the other four lifestyle factors (Pfor interaction=0.02). CONCLUSIONS This study identified the association between multidimensional lifestyle factors and socioeconomic status with the incidence of lung cancer, as well as interactions between smoking and socioeconomic status and four other lifestyle factors, providing a scientific basis for screening and prevention in high-risk populations for lung cancer.
Humans ; Lung Neoplasms/epidemiology* ; Male ; Female ; Middle Aged ; Incidence ; Life Style ; Social Class ; Aged ; Adult ; Risk Factors

Objective To investigate the risk factors for acute respiratory failure in immunocompromised patients with Pneumocystis jirovecii pneumonia(PJP).Methods Clinical data of 123 immunocompromised patients complicated with PJP hospitalized at Mengchao Hepatobiliary Hospital of Fujian Medical University from January 2021 to December 2023 were retrospectively collected and analyzed.SPSS 22.0 statistical software package was used to perform multivariate binary logistic regression analysis to identify risk factors for acute respiratory failure in PJP patients.Results Among the 123 PJP patients,77 were HIV-positive,and 46 were HIV-negative.HIV-negative PJP patients were more likely to have comorbidities such as hypertension(P＜0.001),diabetes mellitus(P＜0.001),coronary heart disease(P=0.034),chronic kidney disease(P＜0.001),chronic liver disease(P=0.019),chronic lung disease(P=0.011),and malignant tumor(P＜0.001).They were also more prone to respiratory failure(P＜0.001)and ICU admission(P＜0.001).The HIV-positive patients had significantly lower CD4+T lymphocyte counts and albumin levels(P＜0.001).Forty patients developed acute respiratory failure,and six patients died.Multivariate analysis showed that high neutrophil-to-lymphocyte ratio(NLR)(P=0.031),non-HIV infection(P=0.002),and concomitant infections with other pathogens(P＜0.001)were independent risk factors for incidence of respiratory failure.ROC curve analysis revealed that the area under the curve(AUC)was 0.686(0.584,0.789)for non-HIV infection,0.731(0.637,0.826)for concomitant infections with other pathogens,0.648(0.546,0.750)for NLR.The predicted probability was 0.845(0.778,0.912).Conclusions Non-HIV infection,high NLR,and concomitant infections with other pathogens are independent risk factors for incidence of respiratory failure in PJP patients.The panel combining these factors provides a higher predictive value for respiratory failure.Timely assessment of patient condition and early treatment are vital for better outcomes.

OBJECTIVE To analyze the incidence of infectious diseases in a certain department from 2015 to 2022,to provide scientific basis for formulating health and epidemic prevention measures.METHODS Descriptive epide-miological methods were used to analyze the incidence of infectious diseases.RESULTS Over the eight-year period,a total of 3,635 cases of 35 types of infectious diseases were reported.The top five diseases in terms of incidence were chickenpox,influenza,tuberculosis,viral hepatitis and acute febrile respiratory diseases.From the perspec-tive of transmission routes,respiratory infectious diseases were the most common,followed by blood-borne and sexually transmitted diseases,and gastrointestinal infectious diseases.Regarding time distribution,the high-est number of cases occurred in the first quarter,with the least in the third quarter.From the perspective of popu-lation distribution,soldiers have the highest incidence of the disease,followed by military officers,with age of on-set ranging from 17 to 25 years old.CONCLUSIONS Respiratory infectious diseases are the primary cause of the epidemic,with an obvious seasonal distribution characteristics,and sexually transmitted diseases show a slow growth trend.It is imperative to strengthen monitoring,early warning and timely disposal of respiratory infectious diseases;meanwhile health education and intervention for risk factors related to sexually transmitted diseases should be strengthened.

Objective:To evaluate the efficacy and safety of the CLAE (cladribine + cytarabine + etoposide) regimen in refractory/relapsed T cell acute lymphoblastic leukemia/lymphoma (R/R T-ALL/LBL) .Methods:Patients with R/R T-ALL/LBL received the CLAE regimen in a prospective, multicenter, single-arm clinical study or compassionate use. From March 2019 to August 2024, data from 25 patients (18 in the study across five centers and 7 receiving compassionate treatment in Peking University Third Hospital) were collected. Outcomes included objective response rate, complete response (CR) rate, partial response (PR) rate after 1–2 cycles, bridging to allo-HSCT, progression-free survival (PFS), overall survival (OS), and treatment-related adverse effects.Results:Median age was 29 years (range, 13–63) ; 17 were male. Among the 24 evaluable patients, CR rate was 33.3% overall and 41.2% among enrolled patients. Median OS and PFS time were 199 (46–1 310) and 49 (28–1 310) days, respectively. Cumulative OS rate at 6 months, 1 year, and 2 years was (52.1±10.2) %, (29.7±9.3) %, and (27.1±9.1) %, respectively; cumulative PFS rate was (32.6±9.6) %, (24.9±8.9) %, and (23.8±8.7) %, respectively. Among patients achieving CR or PR (8 cases), median OS and PFS were not reached. Cumulative OS rate at 6 months, 1 year, and 2 years was (86.8±12.0) %, (78.3±14.6) %, and (72.9±15.7) %, respectively, and the cumulative PFS rate was (86.4±12.1) %, (74.8±15.3) %, and (72.9±15.7) %, respectively. Adverse events were mainly hematologic; no treatment-related mortality occurred. Seven patients achieving CR were bridged to allo-HSCT, with 5 remaining in continuous remission.Conclusion:The CLAE regimen is safe and effective for R/R T-ALL/LBL, facilitating CR as a bridge to allo-HSCT and potentially improving patient prognosis.

Objective:To compare the therapeutic effects of combination regimens based on omadacycline or tigecycline in the treatment of patients with carbapenem-resistant acinetobacter baumannii (CRAB) pneumonia.Methods:A retrospective analysis was performed on the case data of 92 patients diagnosed with CRAB pneumonia who were admitted to the Intensive Care Unit (ICU) of Jinhua Municipal Central Hospital between January 2022 and March 2024. Among these cases, 49 patients received combination therapy with omadacycline as the foundation (hereafter referred to as the omadacycline group),A total of 43 cases were treated with tigecycline-based combination therapy (hereafter referred to as the tigecycline group). The demographic and clinical data of the two patient groups, including pre- and post-treatment improvements in inflammatory markers, bacterial clearance rates, ventilator weaning success rates, and 28-day survival rates, were compared.Results:No significant differences were observed in the baseline characteristics between the two patient groups.The body temperature, white blood cell count, C-reactive protein levels, and procalcitonin concentrations in both groups of patients showed significant improvement after 72 hours of treatment.The differences observed were statistically significant ( P<0.05).Following the completion of the treatment regimen, the bacterial clearance rates in the omadacycline and tigecycline groups were 69.4% and 44.2%, respectively ( P = 0.015). Moreover, the success rates for weaning patients from ventilator support were 71.4% and 51.2%, respectively ( P = 0.046).However, no statistically significant difference was observed in the 28-day survival rate.No serious adverse drug reactions were observed in either of the groups. Conclusions:Both omadacycline- and tigecycline-based combination therapies have demonstrated significant efficacy in improving inflammatory markers in patients with CRAB pneumonia. There was no statistically significant difference in the 28-day survival rate between the two patient groups. Furthermore, combination therapy utilizing omadacycline can significantly enhance the efficacy of promoting negative conversion of the etiological agent,minimize the duration of mechanical ventilation.

Occupational carpal tunnel syndrome (OCTS) has been included in the official list of occupational diseases in China. Imaging techniques have been widely applied in the diagnosis of carpal tunnel syndrome (CTS), including OCTS, owing to their advantages of visualization, non-invasiveness, and high patient compliance. Computed tomography (CT) can be used to visualize bony structures of the wrist, however, it has limited resolution for nerve compression caused by non-osseous factors. Magnetic resonance imaging (MRI) provides high-resolution visualization of the microstructure of muscles, nerves, and surrounding tissues, particularly diffusion-weighted magnetic resonance neuroimaging for assessment of the median nerve. However, MRI is costly and time-consuming. Therefore, both CT and MRI are limited in CTS diagnosis. Ultrasonography has its advantages, such as real-time dynamic assessment, low cost, non-invasiveness, and non-ionizing radiation effect. High-frequency ultrasound has shown correlations with nerve conduction and electromyography findings in the progression and diagnosis of CTS. Real-time shear wave elastography enables quantitative assessment of tissue elasticity and stiffness, while superb microvascular imaging allows quantitative evaluation of intraneural microvascular flow, compensating for the subjectivity of conventional high-frequency ultrasound. According to GBZ 336-2025 Diagnostic Standard for Occupational Carpal Tunnel Syndrome, high-frequency ultrasound examination of the wrist has been listed as an important diagnostic basis for OCTS. Future studies should explore the combined use of multimodal ultrasound techniques (high-frequency ultrasound, SMI, and SWE) to construct a comprehensive diagnostic model for OCTS that integrates multi-dimensional imaging features with neurophysiological parameters and occupational exposure history, thereby enhancing diagnostic accuracy and objectivity.

Objective To investigate the changes in coagulation system in acute decompensated cirrhosis(ADC)patients with or without sepsis and the association of these changes with short-term prognosis.Methods A prospective study was conducted among 116 ADC patients who were hospitalized in Nanfang Hospital from January 2021 to July 2023,among whom there were 86 patients with sepsis and 30 patients without sepsis,and 54 patients with sepsis alone who had no chronic liver disease were enrolled as control group.Thromboelastography(TEG)and other conventional coagulation parameters were used to comprehensively evaluate the coagulation function of patients.The data including TEG results and short-term prognosis were collected,and a correlation analysis was performed.The independent-samples t test was used for comparison of normally distributed continuous data between two groups,and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups;the chi-square test was used for comparison of categorical data between two groups.The Spearman correlation coefficient was calculated to investigate the correlation between different variables.The Logistic regression model was used to perform the univariate and multivariate analyses.Results For the ADC patients with sepsis,the lungs and bloodstream were the main infection sites,and bacteria were the main pathogenic microorganism.TEG results showed that compared with the patients with sepsis alone,the patients with ADC and sepsis had a significant reduction in median maximum amplitude(MA),a significant increase in coagulation time(K time),and a significant reduction in α angle(all P<0.05);the patients with ADC and sepsis had a significantly longer reaction time(R time)than those with ADC alone(P=0.02),and the patients with sepsis alone had a significantly longer R time than those with ADC and sepsis(P=0.04).There was no correlation between MA and platelet count in the patients with ADC and sepsis(r=-0.133,P=0.057),while there was a significant correlation between MA and platelet count in the patients with sepsis alone(r=0.595,P=0.001).SOFA score was negatively correlated with MA in sepsis patients with or without ADC(r=-0.503 and-0.561,both P<0.001),and for the patients with ADC and sepsis,R time,K time,and α angle were weakly correlated with SOFA score and had a relatively strong correlation with APTT(all P<0.05).The patients with ADC alone all survived within 90 days,and compared with the death group,the patients with sepsis alone who survived had significantly higher values of MA and α angle(all P<0.05);there was a significant difference in α angle on day 90 between the survival group and the death group,no matter whether the patients were comorbid with ADC or not(both P<0.01),while for the patients with ADC and sepsis,there was no significant difference in MA value on day 90 between the survival group and the death group(P>0.05).Conclusion For ADC patients comorbid with sepsis,coagulation function assessment and monitoring should be taken seriously in clinical practice,and TEG parameters and SOFA score should be monitored when necessary to develop individualized treatment regimens.

Objective To construct an assay for early infection diagnosis of Angiostrongylus cantonensis based on gold nanorod polymerization.Methods Stable gold nanorods were synthesized by the gold seed growth method,and labeled with different concentrations of sulfhydrylated crude and purified antigens of lar-vae and adults of Angiostrongylus cantonensis,and their excretory and secretory antigens,and then scanned the longitudinal surface plasmon resonance(LSPR)of the stable gold nanorods by ultraviolet-visible(UV-Vis)spectrophotometry,and screened for the optimal labeled antigens for the detection of different infection time after infection of rats with Angiostrongylus cantonensis.The displacement changes were screened to se-lect the best labeled antigens for the detection of serum antibodies and positive sera of series of dilution gradi-ents at different infection times(5,7,14,21 d)after infection with Angiostrongylus cantonensis in rats,and at the same time,the enzyme-linked immunosorbent assay(ELISA)was set up for the same test.Kappa test was used to compare the consistency of the two assays.Results Gold nanorods with stable aspect ratio were suc-cessfully prepared.The gold nanorods labeled with 10 μg/mL of adult purified antigen had a maximum LSPR shift of 40 nm,and were able to detect serum antibodies in rats 5 d after mild,moderate and severe infection with Angiostrongylus cantonensis,as well as positive sera at a maximum dilution of 1∶600.The ELISA was able to detect serum antibodies in rats after 14 d of mild infection,and 7 d of moderate and severe infection,as well as positive sera at a maximum dilution of 1∶200.The ELISA detected positive serum antibodies in rats after 14 d of mild infection and 7 d of moderate and severe infection,as well as in rats at a maximum dilution of 1∶200.The Kappa value of the two methods was 0.750(P<0.01),and the results of the two methods had strong consistency.Conclusion A polymerized gold nanorod assay for early and rapid diagnosis of An-giostrongylus cantonensis infection is successfully constructed.

To explore the feasibility of using UAV-LiDAR for measuring the leaf area index (LAI) of crop canopies, we employed UAV-LiDAR to scan sugarcane canopies during the tillering and elongation stages, acquiring canopy point cloud data. Subsequently, features such as average row height, projected row area, point cloud density at different canopy layers, and the ratios between these parameters were extracted. Three feature selection methods-partial least squares regression (PLSR), XGBoost feature importance (XGBoost-FI), and random forest-recursive feature elimination (RF-RFE)-were adopted to evaluate and identify the optimal input variables for modeling. With these selected variables, LAI inversion models were developed based on random forest (RF) and adaptive boosting (AdaBoost) algorithms, and their performance was assessed. Among the extracted features, the projected row area S_p and the total row point count C_total exhibited strong correlations with LAI, with correlation coefficients of 0.73 and 0.72, respectively. The AdaBoost-based LAI inversion model, using the projected row area S_p, average height H_avg, mid-layer point cloud density C_m, and total row point count C_total as input variables, achieved the best performance, with a coefficient of determination (R_v²) of 0.713 and a root mean square error (RMSE_v) of 0.25 on the validation set. This study provides an effective method for high-throughput acquisition of LAI in field crops, offering valuable scientific support for sugarcane field management and breeding efforts.
Plant Leaves/growth & development* ; Saccharum/growth & development* ; Algorithms ; Unmanned Aerial Devices ; Remote Sensing Technology/methods* ; Crops, Agricultural/growth & development*

Accurately obtaining the crop quantity and density is not only crucial for the demand-based input of water and fertilizer in the field but also vital for ensuring the yield and quality of crops. Aerial photography by unmanned aerial vehicles (UAVs) can quickly acquire the distribution image information of crops over a large area. However, the accurate recognition of a single type of dense targets is a huge challenge for most recognition algorithms. Taking banana seedlings as an example in this study, we captured the images of banana plantations by UAVs from high altitudes to explore an efficient recognition method for dense targets. We proposed a strategy of "cut-recognition-stitch" and constructed a counting method based on the improved Faster R-CNN algorithm. First, the images containing highly dense targets were cropped into a large number of image tiles according to different sizes (simulating different flight altitudes), and the Contrast Limited Adaptive Histogram Equalization (CLAHE) algorithm was adopted to improve the image quality. A banana seedling dataset containing 36 000 image tiles was constructed. Then, the Faster R-CNN network with optimized parameters was used to train the banana seedling recognition model. Finally, the recognition results were reversely stitched together, and a boundary deduplication algorithm was designed to correct the final counting results to reduce the repeated recognition caused by image cropping. The results show that the recognition accuracy of the Faster R-CNN with optimized parameters for banana image datasets of different sizes can reach up to 0.99 at most. The deduplication algorithm can reduce the average counting error for the original aerial images from 1.60% to 0.60%, and the average counting accuracy of banana seedlings reaches 99.4%. The proposed method effectively addresses the challenge of recognizing dense small objects in high-resolution aerial images, providing an efficient and reliable technical solution for intelligent crop density monitoring in precision agriculture.
Musa/growth & development* ; Crops, Agricultural/growth & development* ; Algorithms ; Neural Networks, Computer ; Unmanned Aerial Devices ; Seedlings/growth & development* ; Image Processing, Computer-Assisted/methods* ; Photography ; Agriculture/methods*