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.

OBJECTIVES: Neuropathic pain (NP) is one of the most common forms of chronic pain, yet current treatment options are limited in effectiveness. Peripheral nerve injury activates spinal microglia, altering their inflammatory response and phagocytic functions, which contributes to the progression of NP. Most current research on NP focuses on microglial inflammation, with relatively little attention to their phagocytic function. Early growth response factor 2 (EGR2) has been shown to regulate microglial phagocytosis, but its specific role in NP remains unclear. This study aims to investigate how EGR2 modulates microglial phagocytosis and its involvement in NP, with the goal of identifying potential therapeutic targets. METHODS: Adult male Sprague-Dawley (SD) rats were used to establish a chronic constriction injury (CCI) model of the sciatic nerve. Pain behaviors were assessed on days 1, 3, 7, 10, and 14 post-surgery to confirm successful model induction. The temporal and spatial expression of EGR2 in the spinal cord was examined using real-time quantitative PCR (RT-qPCR), Western blotting, and immunofluorescence staining. Adeno-associated virus (AAV) was used to overexpress EGR2 in the spinal cord, and behavioral assessments were performed to evaluate the effects of EGR2 modulation of NP. CCI and lipopolysaccharide (LPS) models were established in animals and microglial cell lines, respectively, and changes in phagocytic activity were measured using RT-qPCR and fluorescent latex bead uptake assays. After confirming the involvement of microglial phagocytosis in NP, AAV was used to overexpress EGR2 in both in vivo and in vitro models, and phagocytic activity was further evaluated. Finally, eukaryotic transcriptome sequencing was conducted to screen differentially expressed mRNAs, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses to identify potential downstream effectors of EGR2. RESULTS: The CCI model successfully induced NP. Following CCI, EGR2 expression in the spinal cord was upregulated in parallel with NP development. Overexpression of EGR2 via spinal AAV injection enhanced microglial phagocytic activity and increased pain hypersensitivity in rats. Both animal and cellular models showed that CCI or LPS stimulation enhanced microglial phagocytosis, which was further amplified by EGR2 overexpression. Transcriptomic analysis of spinal cord tissues from CCI rats overexpressing EGR2 revealed upregulation of numerous genes associated with microglial phagocytosis and pain regulation. Among them, Lag3 emerged as a potential downstream target of EGR2. CONCLUSIONS EGR2 contributes to the maintenance of NP by enhancing microglial phagocytosis in the spinal dorsal horn.
Animals ; Microglia/metabolism* ; Phagocytosis/physiology* ; Rats, Sprague-Dawley ; Neuralgia/physiopathology* ; Early Growth Response Protein 2/metabolism* ; Male ; Rats ; Spinal Cord/metabolism* ; Sciatic Nerve/injuries*

Objective To identify early Klebsiella pneumoniae(KP)infection after liver transplantation and its impact on prognosis.Methods Clinical data of 171 liver transplant recipients were retrospectively analyzed,and they were divided into the non-infection(n=52)and infection groups(n=119)according to the bacterial culture results at postoperative 2 weeks.In the infection group,KP was not detected in 86 cases(non-KP infection group),and KP was cultured in 33 cases(KP infection group).Preoperative,intraoperative and postoperative data were statistically compared between the non-infection and infection groups,and between the non-KP infection and KP infection groups.The risk factors of early KP infection after liver transplantation and the influencing factors of long-term survival of the recipients were analyzed.Results Compared with the non-infection group,model for end-stage liver disease(MELD)score and total bilirubin level were higher,the operation time was longer,the length of postoperative intensive care unit(ICU)stay and the length of hospital stay were longer,the amount of intraoperative red blood cell transfusion was higher,the hospitalization expense was higher,the incidence of severe complications was higher,white blood cell count,absolute neutrophil cell count and neutrophil-to-lymphocyte ratio at postoperative 14 and 30 d were higher,absolute lymphocyte count at postoperative 14 d was lower and hemoglobin level at postoperative 30 d was lower in the infection group.The differences were statistically significant(all P＜0.05).Compared with the non-KP infection group,MELD score,total bilirubin level and aspartate aminotransferase(AST)level were higher,the operation time and the length of postoperative ICU stay were longer,the hospitalization expense was higher,the 90-d fatality was higher,the albumin level at postoperative 14 d was lower,and total bilirubin level at postoperative 30 d was higher in the KP infection group.The differences were statistically significant(all P＜0.05).Among 33 recipients with KP infection,16 cases were resistant to carbapenem antibiotics,and 7 of them died within postoperative 90 d.Seventeen cases were intermediate or sensitive to carbapenem antibiotics,and 4 of them died within postoperative 90 d.Preoperative MELD score ≥17 and operation time≥415 min were the independent risk factors for KP infection after liver transplantation(both P＜0.05).The length of postoperative ICU stay ≥44 h and KP infection were the independent risk factors for long-term prognosis of liver transplantation(both P＜0.05).Conclusions KP infection is an independent risk factor for death after liver transplantation.High preoperative MELD score and long operation time are the independent risk factors for early KP infection after liver transplantation.

Objective:To evaluate the epidemiological characteristics and explore the associated factors of breakthrough cases (BC) from Public Health Emergency Events (PHEEs) of varicella in Zhejiang Province from 2019 to 2022.Methods:Data on cases were obtained from the China Information System for Disease Control and Prevention and the PHEEs Reporting Information Database of Varicella in Zhejiang Province. History records were matched through the Zhejiang Provincial Immunization Information System. Descriptive analysis and multiple logistic regression model with a bidirectional stepwise selection method were performed to explore associated factors for BC during 2019-2022.Results:A total of 144 276 varicella cases were reported from 2019 to 2022, with the annual reported incidence of 47.35-82.80 cases per 100 000 population. Among these cases, 109 172 were non-breakthrough cases (NBC, accounting for 75.67%), 34 517 were BC (23.92%), and the rest 587 cases had unclear vaccination history on varicella (0.41%). A total of 214 PHEEs of varicella were reported, of which 99.07% occurred in school settings. The proportion of PHEEs that occurred in high school increased significantly as time went on ( χ2trend=5.742, P=0.017). Multiple logistic regression model which focused on "BC vs. NBC (as the reference)" indicated that the year of onset ( OR=1.585, 95% CI:1.343-1.878), the month of onset (taking January as the reference, OR=2.311-15.652), city (taking Hangzhou as the reference, Jiaxing OR=2.370, Jinhua OR=2.197, Lishui OR=0.134), age ( OR=0.887, 95% CI: 0.826-0.944), PHEEs setting (taking "primary school and below" as the reference, "high school and above" OR=0.516, 95% CI: 0.305-0.897), and the number of rashes ( OR=0.569, 95% CI: 0.458-0.703) were associated factors. Multiple logistic regression model which focused on "two-dose BC vs. one-dose BC (as the reference)" showed that the age of initial vaccination ( OR=0.045, 95% CI: 0.014-0.107), the time interval from onset to the last dose ( OR=0.037, 95% CI: 0.011-0.087) and the age of onset ( OR=20.724, 95% CI: 8.383-72.485) were associated factors. Conclusion:During 2019-2022, the reported high-risk group of varicella in Zhejiang Province has shifted to adolescents and young adults. Although vaccination could not completely prevent the onset of VZV, it could relieve clinical symptoms and delay the age of onset.

Objective:To explore the effectiveness of patient participation and Internet plus in fall prevention management strategies of elderly inpatients and analyze the causes of falls, so as to provide a basis for continuous improvement in fall prevention to investigate their continuous improvement.Methods:A pre- and post-control study was conducted. Totally 8 480 elderly inpatients hospitalized in the Department of Internal Medicine from 1 June 2020 to 31 May 2021 in Chenzhou NO. 1 People′s Hospital were selected by convenient sampling as the control group, and 8 662 elderly inpatients hospitalized in the Department of Internal Medicine from 1 June 2021 to 31 May 2022 were in the experimental group. The routine fall prevention measures were used in the control group, and on this basis, the experimental group formulated and implemented fall prevention management strategies involving patients based on the patient participation framework "informing, participating, empowering, cooperating, and electronic information support" and introduced Internet plus. Then the differences between the two groups in terms of the incidence of falls and the satisfaction rate of nursing care were compared.Results:The experimental group included 8 662 cases (5 110 males and 3 552 females) with (73.96 ± 8.78) years old, while the control group included 8 480 cases (4 918 males and 3 562 females) with (74.11 ± 8.59) years old. The incidence of falls in experimental group (0.092%, 8/8 662) was lower than that in control group (0.224%, 19/8 480), and the difference was statistically significant ( χ 2=4.71, P<0.05); the nursing care satisfaction rate of experimental group (98.880%, 8 565/8 662) was higher than that of control group (96.450%, 8 179/8 480), and the difference also was statistically significant ( χ 2=106.50, P<0.01); the analysis of the fall causes of the patients revealed that the toilet squatting commode was an important hidden risk of falls in elderly patients. Conclusions:Fall prevention management strategies based on patient participation can reduce the incidence of falls in elderly patients and improve the satisfaction rate of nursing care. Patient participation introduced "Internet plus" can prevent patient falls. The root causes of patient falls will continue to change, and care managers should continually track real-time changes in the root causes of falls to identify problems, develop and adjust prevention strategies accordingly, and pay attention to the importance of infrastructure in the safety of older patients.

Objective:To evaluate the epidemiological characteristics and explore the associated factors of breakthrough cases (BC) from Public Health Emergency Events (PHEEs) of varicella in Zhejiang Province from 2019 to 2022.Methods:Data on cases were obtained from the China Information System for Disease Control and Prevention and the PHEEs Reporting Information Database of Varicella in Zhejiang Province. History records were matched through the Zhejiang Provincial Immunization Information System. Descriptive analysis and multiple logistic regression model with a bidirectional stepwise selection method were performed to explore associated factors for BC during 2019-2022.Results:A total of 144 276 varicella cases were reported from 2019 to 2022, with the annual reported incidence of 47.35-82.80 cases per 100 000 population. Among these cases, 109 172 were non-breakthrough cases (NBC, accounting for 75.67%), 34 517 were BC (23.92%), and the rest 587 cases had unclear vaccination history on varicella (0.41%). A total of 214 PHEEs of varicella were reported, of which 99.07% occurred in school settings. The proportion of PHEEs that occurred in high school increased significantly as time went on ( χ2trend=5.742, P=0.017). Multiple logistic regression model which focused on "BC vs. NBC (as the reference)" indicated that the year of onset ( OR=1.585, 95% CI:1.343-1.878), the month of onset (taking January as the reference, OR=2.311-15.652), city (taking Hangzhou as the reference, Jiaxing OR=2.370, Jinhua OR=2.197, Lishui OR=0.134), age ( OR=0.887, 95% CI: 0.826-0.944), PHEEs setting (taking "primary school and below" as the reference, "high school and above" OR=0.516, 95% CI: 0.305-0.897), and the number of rashes ( OR=0.569, 95% CI: 0.458-0.703) were associated factors. Multiple logistic regression model which focused on "two-dose BC vs. one-dose BC (as the reference)" showed that the age of initial vaccination ( OR=0.045, 95% CI: 0.014-0.107), the time interval from onset to the last dose ( OR=0.037, 95% CI: 0.011-0.087) and the age of onset ( OR=20.724, 95% CI: 8.383-72.485) were associated factors. Conclusion:During 2019-2022, the reported high-risk group of varicella in Zhejiang Province has shifted to adolescents and young adults. Although vaccination could not completely prevent the onset of VZV, it could relieve clinical symptoms and delay the age of onset.

Objective To investigate the value of multiparametric magnetic resonance imaging(MRI)texture analysis based on T2 weighted image(T2WI),diffusion weighted imaging(DWI),and dynamic contrast enhanced-MRI(DCE-MRI)in predicting the axillary lymph node status of small-sized invasive ductal carcinoma(IDC)of the breast.Methods A retrospective analysis was conducted on the medical records of 139 patients with newly diagnosed IDC,who were treated at Taizhou Central Hospital from January 2018 to June 2023.Based on the postoperative pathological results,the patients were divided into two groups:85 cases without axillary lymph node metastasis and 54 cases with axillary lymph node metastasis.All patients underwent preoperative MRI examination,including sequences such as T2WI,DWI,and DCE-MRI.After delineating the region of interest(ROI)on the slice with the largest tumor diameter in each sequence,texture analysis was performed using Firevoxel software,which yielded five major parameters,including mean,standard deviation,skewness,kurtosis,and entropy.Univariate analysis was employed to evaluate the effectiveness of each parameter in distinguishing the axillary lymph node status.Variables that showed significant results in the univariate analysis were then included in binary Logistic regression analysis to explore the relationship between these parameters and lymph node metastasis status.Receiver operating characteristic(ROC)curves were plotted,and the area under the curve(AUC)was calculated.Results Significant differences were observed between the two groups in the entropy and mean values of the ROI delineated on the DCE-MRI sequence,as well as the skewness of the T2WI(P<0.001).Among these texture parameters,the entropy of the DCE-MRI sequence showed the highest AUC value of 0.719 in the univariate analysis.Multivariate analysis of the selected parameters yielded an optimal diagnostic model,with an AUC of 0.769 in differentiating lymph node metastasis from non-metastasis.Conclusion Texture analysis of small-sized breast cancer based on multiparametric MRI can effectively predict the preoperative axillary lymph node status of breast cancer.

Objective To explore the application effect of advanced lung rehabilitation programs in patients un-dergoing high flow nasal cannula oxygen therapy(HFNC).Methods Convenience sampling method was used to se-lect 40 HFNC patients admitted to the respiratory department,ICU,coronary heart disease monitoring unit,and other departments of a tertiary A comprehensive hospital in Tianjin from January to June 2023 as the experimental group,and 40 HFNC patients admitted from June to December 2022 as the control group.Both groups of patients received HFNC treatment during hospitalization and continued at home,while the experimental group adopts the information-motivation-behavioral skills(IMB)model as the theoretical basis,implements advanced pulmonary rehabili-tation during the stable condition period,discharge preparation period,and home rehabilitation period,and imple-ments compliance management of home pulmonary rehabilitation through cloud follow-up,and the control group re-ceived routine lung rehabilitation and home follow-up.The degree of respiratory distress,6-minute walking distance,exercise self-efficacy,quality of life were compared between the 2 groups before intervention,2 months and 6 months after intervention,and compliance with home pulmonary rehabilitation was compared between the 2 groups 6 months after intervention.Results The repeated measures analysis of variance showed that there was an interaction effect between time and the 2 groups in terms of difficulty in breathing,6-minute walking distance,exercise self-ef-ficacy,and quality of life(P＜0.05).Simple effect analysis showed that after 2 and 6 months of intervention,the ex-perimental group performed better than the control group in the respiratory distress,6-minute walking distance,exer-cise self-efficacy,and quality of life(P＜0.05).Within 6 months of intervention,the compliance of home pulmonary rehabilitation in the experimental group was better than that in the control group,and the difference was statistically significant(P＜0.05).Conclusion The application of advanced pulmonary rehabilitation programme based on IMB can improve respiratory symptoms and improve exercise self-efficacy and adherence to pulmonary rehabilitation,en-hance activity endurance and improve quality of life.

Objective:To examine the factors that contribute to memory impairment in elderly stroke patients and develop a predictive model.Methods:One hundred stroke patients from the First People's Hospital of Changzhou were selected to assess the incidence of memory impairment using the Montreal cognitive assessment memory index score(MoCA-MIS).Univariate analysis and multivariate Logistic regression were performed to determine the factors influencing memory impairment in these patients.Additionally, the correlation among relevant scale scores was examined, and a prediction model was developed.Results:In the study, 49 patients(49.0%)did not exhibit memory impairment.Patients with memory impairment were found to have higher proportions of individuals over 75 years old, elevated levels of triglyceride(TG), total cholesterol(TC), low-density lipoproteins cholesterol(LDL-C), and National Institute of Health Stroke Scale(NIHSS)scores compared to those without memory impairment.Conversely, patients without memory impairment had higher proportions of individuals with more than 9 years of education, higher levels of high-density lipoprotein cholesterol(HDL-C), mini-mental state examination(MMSE)scores, Rivermead behavioural memory test-Ⅱ(RBMT-Ⅱ)scores, and picture-based memory impairment screen(PMIS)scores(all P<0.05).Furthermore, Montreal cognitive assessment-memory index(MoCA-MIS)scores in stroke patients with memory impairment showed negative correlations with NIHSS scores, TG, and LDL-C, while showing positive correlations with HDL-C, MMSE scores, RBMT-Ⅱ scores, and PMIS scores(all P<0.05).Multifactorial Logistic regression analysis indicated that years of education, TG, HDL-C, NIHSS score, MMSE score, RBMT-Ⅱ score, PMIS score, and the location of the lesion in the cortex or temporal lobe were significant factors influencing memory impairment in stroke patients(all P<0.05).The receiver operating characteristic curve(ROC)analysis revealed an area under curve(AUC)of 0.955(95% CI: 0.921-0.977)for the prediction model of memory impairment in stroke patients, with a Yoden index of 0.841. Conclusions:The risk of memory impairment in stroke patients is associated with education years and blood lipid levels.Factors such as high education level, active cognitive function, and memory training serve as protective factors against memory impairment.The prediction model developed using these influencing factors demonstrates high predictive accuracy for post-stroke memory impairment.