Objective To explore the diagnostic value of exhaled volatile organic compounds (VOCs) for cystic fibrosis (CF). Methods A systematic search was conducted in PubMed, EMbase, Web of Science, Cochrane Library, CNKI, Wanfang, VIP, and SinoMed databases up to August 7, 2024. Studies that met the inclusion criteria were selected for data extraction and quality assessment. The quality of included studies was assessed by the Newcastle-Ottawa Scale (NOS), and the risk of bias and applicability of included prediction model studies were assessed by the prediction model risk of bias assessment tool (PROBAST). Results A total of 10 studies were included, among which 5 studies only identified specific exhaled VOCs in CF patients, and another 5 developed 7 CF risk prediction models based on the identification of VOCs in CF. The included studies reported a total of 75 exhaled VOCs, most of which belonged to the categories of acylcarnitines, aldehydes, acids, and esters. Most models (n=6, 85.7%) only included exhaled VOCs as predictive factors, and only one model included factors other than VOCs, including forced expiratory flow at 75% of forced vital capacity (FEF75) and modified Medical Research Council scale for the assessment of dyspnea (mMRC). The accuracy of the models ranged from 77% to 100%, and the area under the receiver operating characteristic curve ranged from 0.771 to 0.988. None of the included studies provided information on the calibration of the models. The results of the Prediction Model Risk of Bias Assessment Tool (PROBAST) showed that the overall bias risk of all predictive model studies was high, and the overall applicability was unclear. Conclusion The exhaled VOCs reported in the included studies showed significant heterogeneity, and more research is needed to explore specific compounds for CF. In addition, risk prediction models based on exhaled VOCs have certain value in the diagnosis of CF, but the overall bias risk is relatively high and needs further optimization from aspects such as model construction and validation.

This study aims to develop a fully automated method for tooth segmentation and root canal measurement based on cone beam computed tomography (CBCT) images, providing objective, efficient, and accurate measurement results to guide and assist clinicians in root canal diagnosis grading, instrument selection, and preoperative planning. The method utilized Attention U-Net to recognize tooth descriptors, cropped regions of interest (ROIs) based on the center of mass of these descriptors, and applied an integrated deep learning method for segmentation. The segmentation results were mapped back to the original coordinates and position-corrected, followed by automatic measurement and visualization of root canal lengths and angles. The results indicated that the Dice coefficient for segmentation was 96.42%, the Jaccard coefficient was 93.11%, the Hausdorff Distance was 2.07 mm, and the average surface distance was 0.23 mm, all of which surpassed existing methods. The relative error of the root canal working length measurement was 3.15% (< 5%), the curvature angle error was 2.85 °, and the correct classification rate of the treatment difficulty coefficient was 90.48%. The proposed methods all achieved favorable results, which can provide an important reference for clinical application.
Cone-Beam Computed Tomography/methods* ; Deep Learning ; Humans ; Dental Pulp Cavity/diagnostic imaging* ; Image Processing, Computer-Assisted/methods*

Objective:To evaluate direct and indirect costs for schizophrenia,major depressive disorder(MDD)and bipolar disorder,and to compare their differences of cost composition,and to explore the drivers of the total costs.Methods:A total of 3 175 inpatients with schizophrenia,MDD,and bipolar disorder were recruited.In-patient's self-report total direct of medical costs outpatient and inpatient,out-of-pocket costs,and direct non-medical costs were regarded as direct costs.Productivity loss and other loss caused by damaging properties were defined as indirect costs.The perspectives of this study included individual and societal levels.Multivariate regression analysis was applied for detecting the factors influencing disease costs.Results:The total cost of schizophrenia was higher than those of MDD and bipolar disorder at individual and societal levels.The indirect costs of three mental disorders were higher than the direct costs,and the indirect cost ratio of bipolar disorder was higher than those of schizophre-nia and MDD.Age,gender,working condition and marital status(P＜0.05)were the important drivers of total costs.Conclusion:The economic burden of the three mental disorders is relatively heavy.Schizophrenia has heaviest disease burden,and the productivity loss due to mental disorders is the driving force of the soaring disease cost

Objective To construct a new type of glucosamine/DNA composite nanostructure(NTGlcN)assembled without magnesium,verify whether or not glucosamine can mediate the assembly of DNA nanotubes(NT)and assess its effect on the function of Raw264.7 cells.Methods Utilizing the gradient annealing method with 3 DNA single strands Y1,Y2,and Y3,glucosamine(GlcN)was employed to mediate the assembly of DNA NT,resulting in the formation of glucosamine/DNA composite nanostructures.Atomic force microscopy(AFM)was used to observe the surface structure of the nanomaterial and dynamic light scattering(DLS)was used to measure its size.RAW264.7 cells were used in cell experiments.The cytotoxicity of GlcN and NTGlcN was assessed using CCK-8 assay.Flow cytometry and laser confocal microscopy were employed to investigate the cellular uptake efficiency of the nanostructures.The effects of NTGlcN and NTMg(Mg2+-assembled of DNA NT)on the expression levels of inflammatory cytokines(IL-1β,IL-6)in macrophages induced by lipopolysaccharides(LPS)were evaluated using RT-qPCR.Results GlcN successfully mediated the synthesis of NTGlcN,which exhibited good stability.AFM characterization results revealed that NTGlcN formed tubular particles that were uniformly distributed on the surface of mica.DLS measurements indicated that the diameter of NTGlcN was approximately 15.26±3.86 nm.Cell experiments demonstrated that,compared to NTMg,macrophages exhibited a higher cellular uptake efficiency for NTGlcN,with a higher cell survival rate following treatment with NTGlcN(P＜0.05).After NTGlcN treatment,the expression of inflammatory cytokines in LPS-induced macrophages was reduced(P＜0.05).Conclusion The glucosamine/DNA composite nanostructures have been successfully developed,possessing excellent stability,biocompatibility and cell uptake efficiency.NTGlcN is capable of reducing the cytotoxicity of GlcN and can suppress cellular inflammatory responses by decreasing the expression of inflammatory cytokines in RAW264.7 cells.

To explore the present status of fluid therapy and clinical outcome in critically ill patients in intensive care units (ICU).ICU patients consecutively admitted to our ICU were prospectively enrolled.Patients' demographics,laboratory data,fluid record and clinical outcome were collected.Fluid intake quantity of all patients was at peak on the fifth day which was 2 806 (1 997,3 582)ml.From the fourth day in ICU,fluid balance started to benegative as-84 (-1 127,612)ml and gradually increased.Crystalloid solution was the main components.For treatment purposes,medication injections and nutrients were major fluids.Positive correlations were found between total fluid intake quantity,total crystalloid volume,total colloidal volume and hospital stay,ICU stay,duration of intubation (r values as 0.211,0.686,0.282,0.155,0.506,0.174,0.209,0.072,0.292,respectively P＜0.05).Moreover,positive correlations were also demonstrated between total colloidal volume and total bilirubin,direct bilirubin,alanine transaminase,aspartate transaminase,blood urea nitrogen,serum creatinine (r values as 0.196,0.242,0.190,0.335,0.284,0.223,respectively P＜0.05).

Objective: To investigate the effect of different contrast media concentrations on abdominal aortic angiography with multi-slice spiral CT. Methods: 85 patients underwent abdominal multi slice spiral CT angiography were selected, and they were randomly divided into high concentration group(45 cases) and low concentration group(40 cases) according to random number table method.The high concentration group used 370mgI/mL contrast agent 60mL, and the low concentration group used 300mgI/mL contrast agent 100mL.The abdominal aorta to enhance value, image quality and the incidence of adverse reactions were compared between the two groups. Results: The scores of renal artery and abdominal aorta in the high concentration group were significantly higher than those in the low concentration group[(3.76±0.85)points vs.(3.27±0.69)points, (2.57±0.53)points vs.(2.11±0.50)points], the differences were statistically significant(t=2.895, 4.101, all P<0.05). The levels of celiac trunk, renal artery and iliac artery in the high concentration group were significantly higher than those in the low concentration group[(346.37±27.85)Hu vs.(305.74±22.69)Hu, (310.77±28.39)Hu vs.(289.50±19.85)Hu, (301.42±24.87)Hu vs.(276.59±23.10)Hu], the differences were statistically significant(t=7.316, 3.955, 4.750, all P<0.05). No adverse reactions occurred in the two groups. Conclusion High concentration of contrast agent can improve the multi-slice spiral CT angiography in patients with abdominal aorta to enhance value, so as to improve the image quality, and can reduce the dose of contrast agent, and it has high safety and is worthy of promotion.