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.

In the clinical stage, suspected hemolytic plasma may cause hemolysis illness, manifesting as symptoms such as heart failure, severe anemia, etc. Applying a deep learning method to plasma images significantly improves recognition accuracy, so that this paper proposes a plasma quality detection model based on improved "You Only Look Once" 5th version (YOLOv5). Then the model presented in this paper and the evaluation system ‌were introduced‌ into the plasma datasets, and ‌the average accuracy of the final classification reached 98.7%‌. The results of this paper's experiment were obtained through the combination of several key algorithm modules including‌ omni-dimensional dynamic convolution, pooling with separable kernel attention, residual bi-fusion feature pyramid network, ‌and‌ re-parameterization convolution. The method of this paper‌ obtains the feature information of spatial mapping efficiently, and enhances the average recognition accuracy of plasma quality detection. This paper presents a high-efficiency detection method for plasma images, aiming to provide a practical approach to prevent hemolysis illnesses caused by external factors.
Algorithms ; Humans ; Hemolysis ; Plasma ; Deep Learning ; Image Processing, Computer-Assisted/methods*

BackgroundIn recent years， the prevalence of depression among adolescents has risen steadily， alongside an increasing prominence of non-suicidal self-injury （NSSI） behaviors in this population， which may elevate suicide risk and constitute a serious public health problem. Negative emotions such as anxiety and depression are closely related to NSSI behaviors. Previous studies have predominantly relied on retrospective reports， limiting the ability to dynamically capture temporal relationships between emotional fluctuations and NSSI behaviors. Moreover， cognitive behavioral therapy （CBT） often lacks targeted design to address proximal triggers in interventions for NSSI behaviors. ObjectiveTo verify that anxiety as a proximal trigger factor for NSSI behaviors in adolescent patients with depression， and to evaluate the efficacy of modified CBT integrated with ecological momentary assessment （EMA） data in alleviating their anxiety and self-injury urges. MethodsA prospective cohort study design was adopted. A total of 132 adolescent patients with a history of NSSI behaviors who were treated at Jiujiang Fifth People's Hospital from January to December 2024 and met the diagnostic criteria for depression in the Diagnosed and Statistical Manual of Mental Disorders， fifth edition （DSM-5）. A smartphone-based EMA application to conduct natural situation emotions on participants for 14 consecutive days. The monitoring period spanned from 10∶00 to 22∶00 daily， with randomized assessments pushed every 2 hours. The assessment tools included the Self-rating Anxiety Scale （SAS） and the negative affect subscale of the Positive and Negative Affect Schedule （PANAS）， with real-time recording of NSSI behaviors and emotional states before and after their occurrence. Repeated measures analysis of variance was used to compare the dynamic changes in the scores of each scale before and after the episodes of NSSI behaviors. A modified CBT was administered to 83 participants who completed EMA data collection， with sessions conducted once weekly for 12 weeks. Anxiety levels were accessed using the SAS， and the self-injury urges was evaluated using the Ottawa Self-injury Inventory （OSI） before and after the intervention. ResultsEMA data revealed that SAS scores were significantly higher during the 1-2 hours before NSSI episodes compared to baseline periods ［（56.19±11.06）vs.（52.83±10.25），P<0.01］. SAS scores were positively correlated with the NSSI behavioral scores （r=0.460，P<0.01，95% CI：0.310-0.580）. After receiving modified CBT intervention， adolescent patients with depression demonstrated statistically significant decreases in both SAS scores ［（52.30±8.10） vs.（48.70±7.30），t（82）=4.820，P<0.01，Cohen's d=0.420］ and the OSI self-injury impulse subcale scores ［（12.80±2.70） vs.（9.60±2.50），t（82）=5.170，P<0.01，Cohen's d=0.510］ compared to their pre-intervention levels. ConclusionAnxiety may serve as a proximal trigger for NSSI behaviors in adolescent patients with depression. Modified CBT integrating EMA data could potentially alleviate their anxiety level and self-injury urges. ［Funded by Science and Technology Plan Project of Jiangxi Provincial Health Commission （number， SKJP220227629）］

Objective To investigate the diagnostic value of our regression model based on quantitative parameters of dual-energy CT and clinical features for stages T2 and T3 colorectal cancer.Methods A cross-section study was performed on 91 patients with colorectal cancer confirmed by postoperative pathology in our hospital from January 2022 to November 2023.All of them underwent dual-energy CT examination.According to the pathological T staging criteria of Chinese Colorectal Cancer Diagnosis and Treatment Standard(2020 Edition),they were divided into T2 group(n=43)and T3 group(n=48).Univariate analysis was used to compare the differences in quantitative CT parameters and clinical features between the 2 groups,and the obtained significant variables were employed to construct diagnosis models by univariate or multivariate logistic regression analysis.The area under receiver operating characteristic curve(AUC)of the CT parametric model and the model combined with clinical features was compared to evaluate the efficacy of diagnosing T2 and T3 stages.Results Univariate analysis showed that carcinoembryonic antigen(CEA),N stage,tumor location,tumor longest diameter(LD),CT value of virtual noncontrast(CT-VNC),fat fraction,electron density(Rho)and dual energy index(DEI)were significantly different between the T2 and T3 groups(P＜0.05).Multivariate logistic regression analysis found that N stage,tumor location,LD,fat fraction and DEI were independent risk factors for the diagnosis of stage T3.The AUC value of the model of above CT parameters in diagnosing stage T3 colorectal cancer was 0.671(95％CI:0.558～0.783),and the AUC value of the combined model of above CT parameters and clinical features was 0.886(95％CI:0.815～0.957),and statistical difference was observed in the AUC value between the combined model and the CT parametric model(P＜0.01).Conclusion The regression model constructed with dual-energy CT quantitative parameters combined with clinical features has high value in the preoperative diagnosis of stages T2 and T3 colorectal cancer before surgery.

Objective To analyze the correlations of autoimmune diseases(AIDs)with the risk of developing pancreatic endocrine and exocrine diseases.Methods A total of 451,497 participants from the UK Biobank were recruited,with the primary outcomes being pancreatic endocrine and exo-crine diseases.International Classification of Diseases 9/10(ICD9/10)codes were used to define each AIDs,the pancreatic endocrine and exocrine diseases.Multivariable Cox proportional hazards models were employed to assess the relationships between AIDs and pancreatic endocrine and exocrine diseases,with adjustments for age,gender,ethnicity,Townsend deprivation index,smoking,alcohol consumption,body mass index,waist circumference,hip circumference,hypertension,dyslipidemia,and gallstones.Results A total of 415,497 participants were included,among which 37,482 de-veloped pancreas-related diseases during follow-up.Among patients with AIDs,the proportions of those with pancreatic exocrine and endocrine diseases were significantly increased(P＜0.05).Rheumatoid arthritis[HR(95％CI):1.438(1.161 to 1.781)],ankylosing spondylitis[HR(95％CI):1.675(1.009 to 2.780)],ulcerative colitis[HR(95％CI):1.335(1.037 to 1.719)],and Crohn's disease[HR(95％CI):1.530(1.154 to 2.028)]were all associated with an increased risk of de-veloping pancreatic exocrine diseases(all P＜0.05);additionally,rheumatoid arthritis[HR(95％CI):1.119(1.004 to 1.248)],ulcerative colitis[HR(95％CI):1.324(1.175 to 1.491)],sys-temic sclerosis[HR(95％CI):2.08(1.355 to 3.191)],and Crohn's disease[HR(95％CI):1.394(1.197 to 1.624)]were also associated with an increased risk of developing pancreatic en-docrine diseases(all P＜0.05).Conclusion Overall AIDs and some specific AIDs are associated with an increased risk of developing pancreatic endocrine and exocrine diseases,and early preven-tion of pancreatic diseases in patients with AIDs should be emphasized in clinical practice.

There has been a growing amount of evidence that a balanced blood component transfusion with roughly equal ratio of units of packed red blood cells,fresh frozen plasma,and platelets leads to better outcomes in massive transfusion re-suscitation of trauma victims.Therefore,the great interest of massive transfusion protocol(MTP)with whole blood was a-roused.Low titer group O whole blood(LTOWB)is implemented in routine use for civilian prehospital ambulance services in large trauma centers of most European and American countries nowadays.There is a growing body of evidence to date to support that early use of LTOWB in patients with life-threatening bleeding improve their survival.In view of the current situ-ation of whole blood supply in our country,most trauma resuscitation guidelines still recommend balanced component trans-fusion for MTPs in the early stage of resuscitation.The research and application of LTOWB abroad will be introduced in this article.

Clinical research is usually aimed at and guided by therapeutic efficacy. Clarifying the placebo effect and the nocebo effect from treatment outcomes is an important issue in clinical research. This paper reviews the meaning of the placebo effect， suggesting that factors that may produce the placebo effect in clinical practice include past experience associations， patient expectations， suggestion， and doctor-patient relationships. It also summarizes the characteristics of the nocebo effect， its influencing factors， and its impact on clinical prognosis. Combining the characteristics of traditional Chinese medicine， this paper explores the design of acupuncture clinical trials that can reflect the measurement of the placebo effect， attempting to provide a clearer interpretation of the placebo effect in the evaluation of acupuncture efficacy in traditional Chinese medicine. Taking primary insomnia as an example， a prospective randomized placebo-controlled trial is designed to observe and evaluate the relationship between the treatment effects of acupuncture and the placebo effect in different patients under the treatment of the same doctor. Group comparisons will help better distinguish clinical effects in different situations. The authors also attempt to explore the responsive population to the placebo effect and the effects of placebos in different populations.

AIM:To investigate the effect of Huangqi-Danggui decoction(HQDG)on the brain tissue of rats with cerebral ischemia/reperfusion(I/R)injury for 7 d by regulating macroautophagy and chaperone-mediated autophagy(CMA),and to explore its mechanism.METHODS:Male SD rats were randomly divided into sham group,model group,HQDG group and Xuesaitong(XST)group.Determination of main chemical components of HQDG by liquid chro-matography-mass spectrometry.The model of middle cerebral artery occlusion/reperfusion in rats was established by the left modified thread embolism method,and the changes of cerebral blood flow were observed by laser speckle blood flow imager.Zea Longa score was used to observe the neurological deficit.HE staining was used to observe the degree of nerve cell injury.The changes of neurovascular unit and autophagosomes in brain tissue were observed by transmission electron microscopy.Immunohistochemical method was used to detect the expression of LC3,P62,lysosome-associated membrane protein-2A(LAMP-2A),heat shock protein 70(HSP70)and myocyte enhancer factor 2D(MEF2D)proteins.Western blot was used to detect the expression of autophagy-related proteins P62 and LC3-Ⅱ/LC3-I.RESULTS:Compared with the sham group,the neurological deficit score in model group was significantly higher(P<0.01).A large number of nerve cells showed necrosis and nuclear dissolution,with the cell arrangement being disordered.The number of autophagosomes increased.The protein expression levels of LC3,LAMP-2A,HSP70 and MEF2D in brain tissue increased,while the ex-pression level of P62 protein decreased(P<0.05 or P<0.01).Compared with the model group,the scores of neurological deficit in brain tissue in HQDG and XST groups were significantly lower(P<0.01).Cell damage was significantly re-duced.The number of autophagosomes further increased.The expression levels of LAMP-2A,HSP70,MEF2D and P62 proteins in brain tissue decreased,while the expression levels of LC3-Ⅱ/LC3-I protein increased(P<0.05 or P<0.01).CONCLUSION:HQDG can alleviate cerebral ischemia/reperfusion injury in rats and exert neuroprotective effects by ac-tivating macroautophagy and reducing CMA.

Objective To investigate the effects of glycosylphosphatidylinositol-anchored HDL-binding protein (GPIHBP1) on glioma growth and macrophage infiltration. Methods Initially, the expression of GPIHBP1 in glioma samples and macrophage infiltration were analyzed using TCGA database, and these bioinformatics results were validated in clinical tissue samples. A stable glioma cell line overexpressing GPIHBP1 was then established to further explore the effects of GPIHBP1 overexpression on glioma cell proliferation, apoptosis, migration, and invasion. Finally, the impact of GPIHBP1 overexpression on tumor growth and macrophage infiltration was verified through xenograft experiments. Results TCGA database analysis revealed that GPIHBP1 expression was higher in low-grade gliomas compared to normal tissues, while it was lower in high-grade gliomas. Additionally, the expression level of GPIHBP1 in low-grade gliomas was higher than in high-grade gliomas, which was confirmed by immunohistochemistry (IHC). Western blot analysis confirmed the successful construction of the GPIHBP1-overexpressing glioma cell line. CCK-8, flow cytometry, scratch and Transwell assays demonstrated that the proliferation, migration and invasion capabilities of the stable cell line were reduced compared to the control group. Xenograft experiments further showed that the tumor growth and macrophage infiltration were decreased in the stable cell line. Conclusion The differential expression of GPIHBP1 in different grades of gliomas may be associated with tumor progression. Overexpression of GPIHBP1 can inhibit glioma growth, possibly by influencing the tumor microenvironment and promoting the polarization of macrophages towards the antitumor M1 phenotype, thereby inhibiting glioma growth.