Objective To establish a full-chain follow-up system for tumor patients during chemotherapy and to evaluate its application effect.Methods A full-chain follow-up system was built according to the actual needs of cancer patients during chemotherapy,including 5 modules:patient health records,follow-up plan,risk identification and abnormal reminder,online consultation,interaction between doctors and patients and data visualization analysis and intelligent statistical management.Convenience sampling method was used to select 96 patients with tumor at chemotherapy stage who were treated in a tertiary A hospital in Deyang City,Sichuan Province from February to June 2023 as a test group,and the full chain follow-up system for tumor patients at chemotherapy stage was applied for follow-up;93 patients with tumor at chemotherapy stage were treated from February to June 2022 as a control group for routine follow-up care.Indicators of self-management ability,quality of life and satisfaction with follow-up services were compared between the 2 groups before and after the application of the system.Results 94 cases in the test group and 92 cases in the control group completed the study.After the application of the system,the test group scored(169.44±11.96)on the Cancer Patients Self-Management Scale,higher than(150.76±13.44)in the control group.The score on the Cancer Patients Quality of Life Core Scale was(65.50±7.90),higher than(59.81±7.27)in the control group.The score on the Questionnaire of Satisfaction with the Follow-Up Service was(52.00±3.30),higher than(48.89±3.54)in the control group,and the difference between the 2 groups was statistically significant(P＜0.001).Conclusion The application of the full-chain follow-up system can meet the diversified and multi-level follow-up needs of tumor patients during chemotherapy,achieve accurate,professional and intelligent nursing follow-up services,effectively improve patients'symptom self-management ability and quality of life,and improve patients'satisfaction with nursing services.

Objective To investigate the epidemiological trends,temporal and spatial distribution characteristics of pulmonary tuberculosis in Lanping County.Methods Based on tuberculosis management data and basic information systems from the"China Disease Prevention and Control Information System,"pulmonary tuberculosis data from Lanping County for 2018-2023 were obtained.Descriptive epidemiology,concentration method,circular distribution method,and spatial autocorrelation analysis were used to conduct epidemiological and spatial analyses of the pulmonary tuberculosis data.Results A total of 2836 TB cases were reported in Lanping County from 2018 to 2023,with an average annual incidence rate of 233.26 per 100000,showing a declining trend.The male-to-female ratio was 1.95∶1,with the highest incidence among individuals aged 60 and above(932 cases,32.86%).Cases were predominantly among farmers(91.01%)and the Lisu ethnic group(52.68%).TB incidence showed weak seasonality with a bimodal distribution,with primary peak occurring from October to March and secondary peak from June to August.Tu'e Township(324.74 per 100,000),Shideng Township(307.42 per 100000),and Jinding Town(260.98 per 100,000)had the highest incidence rates,accounting for 1,284 cases or 45.28%of the county's total cases.In 2020,the incidence of pulmonary tuberculosis in Lanping County showed a spatial clustering distribution(global Morans's I value<0,P value<0.05),with Shideng Township consistently showing high-low aggregation characteristics.Conclusion Between 2018-2023,while the tuberculosis incidence rate in Lanping County has declined,it still falls short of Yunnan Province's tuberculosis prevention and control targets,and the prevention and control work continues to face significant challenges.Strengthening screening of high-risk populations and providing medical support to remote areas will be key measures for future prevention and treatment.

Objective To establish a full-chain follow-up system for tumor patients during chemotherapy and to evaluate its application effect.Methods A full-chain follow-up system was built according to the actual needs of cancer patients during chemotherapy,including 5 modules:patient health records,follow-up plan,risk identification and abnormal reminder,online consultation,interaction between doctors and patients and data visualization analysis and intelligent statistical management.Convenience sampling method was used to select 96 patients with tumor at chemotherapy stage who were treated in a tertiary A hospital in Deyang City,Sichuan Province from February to June 2023 as a test group,and the full chain follow-up system for tumor patients at chemotherapy stage was applied for follow-up;93 patients with tumor at chemotherapy stage were treated from February to June 2022 as a control group for routine follow-up care.Indicators of self-management ability,quality of life and satisfaction with follow-up services were compared between the 2 groups before and after the application of the system.Results 94 cases in the test group and 92 cases in the control group completed the study.After the application of the system,the test group scored(169.44±11.96)on the Cancer Patients Self-Management Scale,higher than(150.76±13.44)in the control group.The score on the Cancer Patients Quality of Life Core Scale was(65.50±7.90),higher than(59.81±7.27)in the control group.The score on the Questionnaire of Satisfaction with the Follow-Up Service was(52.00±3.30),higher than(48.89±3.54)in the control group,and the difference between the 2 groups was statistically significant(P＜0.001).Conclusion The application of the full-chain follow-up system can meet the diversified and multi-level follow-up needs of tumor patients during chemotherapy,achieve accurate,professional and intelligent nursing follow-up services,effectively improve patients'symptom self-management ability and quality of life,and improve patients'satisfaction with nursing services.

Epigenomic imbalance drives abnormal transcriptional processes,promoting the onset and progression of cancer.Although defective gene regulation generally affects carcinogenesis and tumor suppression networks,tumor immunogenicity and immune cells involved in antitumor responses may also be affected by epigenomic changes,which may have significant implications for the development and application of epigenetic therapy,cancer immunotherapy,and their combinations.Herein,we focus on the impact of epigenetic regulation on tumor immune cell function and the role of key abnormal epigenetic processes,DNA methylation,histone post-translational modification,and chromatin structure in tumor immunogenicity,and introduce these epigenetic research methods.We emphasize the value of small-molecule inhibitors of epigenetic modulators in enhancing antitumor immune responses and discuss the challenges of developing treatment plans that combine epigenetic therapy and immuno-therapy through the complex interaction between cancer epigenetics and cancer immunology.

Aim To explore the feasibility of using machine learning algorithms combined with coronary computed tomography(CT)derived perivascular fat attenuation index(FAI)and plaque information to evaluate myocardial ischemia in stable coronary heart disease patients.Methods A retrospective analysis was conducted on the clinical and imaging data of patients who underwent preoperative coronary CT angiography(CCTA),invasive coronary angiography(ICA),and flow reserve fraction(FFR)measurements at Zhongshan Hospital Affiliated to Fudan University from April 2019 to October 2021.206 patients with stable coronary heart disease were selected.The semi-automatic plaque analysis software was used for quantification of plaque and lumen parameters and perivascular FAI measurement,with man-ual delineation of a 40 mm segment of the coronary artery starting 10 mm from the ostium for perivascular FAI measure-ment.Differences in plaque characteristics,perivascular FAI,and coronary perivascular FAI between stable coronary heart disease patients with FFR≤0.8 and FFR＞0.8 were compared.The diagnostic performance of combining perivascu-lar FAI,coronary perivascular FAI,and plaque features using machine learning algorithms for myocardial ischemia in stable coronary heart disease patients was evaluated through ROC curves.Results 206 stable coronary heart disease patients were divided into FFR≤0.8 group(50 cases)and FFR＞0.8 group(156 cases).The mean periplaque FAI of patients with FFR≤0.8 was-69.28±5.65 HU,significantly higher than that of patients with FFR＞0.8 at-80.10±7.75 HU(P＜0.001).Further analysis was conducted using machine learning models,including XGBoost,random forest,and Logistic regression models,all of which had an accuracy rate of over 0.8 in diagnosing myocardial ischemia.Among them,the XGBoost model performed the best with an accuracy of 0.903,an F1 value of 0.774,and an AUC of 0.931,in-dicating its high effectiveness in diagnosing myocardial ischemia.Conclusion The combination of FAI and machine learning algorithm XGBoost model is a new method for diagnosing myocardial ischemia,which has better diagnostic value in evaluating myocardial ischemia in stable coronary heart disease patients.

Objective To evaluate the diagnostic value of myocardial work related parameters in coronary ischemia patients with coronary artery disease(CAD)coronary ischemia using non-invasive left ventricular pressure strain loop(PSL),taking fraction flow reservation(FFR)as the gold standard.Methods From December 2020 to December 2021,53 clinically suspected CAD patients were prospectively enrolled.All patients underwent echocardiography,invasive coronary angiography and FFR measurement.According to the results of coronary angiography,patients were divided into myocardial ischemia group(n=24,FFR≤0.80)and non-myocardial ischemia group(n=29,FFR＞0.80).PSL was used for off-line analysis to obtain the global work index(GWI),global constructive work(GCW),global wasted work(GWW),global work efficiency(GWE),global positive work(GPW),and global systolic constructive work(GSCW)and other myocardial work parameters.The differences of parameter values between the two groups were compared.The diagnostic efficacy of work parameters in myocardial ischemia was analyzed by ROC curve.Results Compared with the non-myocardial ischemia group,GWI,GCW,GPW and GSCW were significantly decreased in the myocardial ischemia group at the 18-,16-,and 12-segment levels(P＜0.001).The ROC curve showed that the AUC results of GWI,GCW,GPW,GSCW at the 18-segment level were 0.803(95％CI 0.679-0.927),0.807(95％CI 0.687-0.928),0.822(95％CI 0.708-0.936),0.819(95％CI 0.703-0.935).The optimal cut-off value of GWI was 1 676.3 mmHg％,and the sensitivity,specificity and accuracy of predicting myocardial ischemia were 70.8％,86.2％and 79.2％,respectively.The optimal cut-off value of GCW was 1 999.4 mmHg％,and the sensitivity,specificity and accuracy of predicting myocardial ischemia were 75.0％,82.8％and 79.2％,respectively.Conclusions Analyzing myocardial work using PSL has good significance for screening suspected myocardial ischemia in CAD patients.

Objective:To investigate the unqualified hepatitis C virus (HCV) detection result of blood donors from the served area of blood institutions.Methods:The data related to HCV markers detected of the first and repeat blood donors were collected from the system of practice comparison for the Chinese mainland blood institutions from 2017 to 2021. The anti-HCV reactive rate and the rates of anti-HCV negative but HCV-RNA reaction and all the relationship between rates and the annual, regional and different blood donors were statistically analyzed.Results:During 2017-2021, the number of anti-HCV reactive per 100 000 blood donors decreased from 444.3 to 250.44 in the served area of 22 blood institutions ( χ2=49.677, P<0.05). The number of HCV RNA detected positive per 100 000 anti-HCV negative increased from 0.69 to 2.05 year by year, but there was no statistical significance ( χ2=0.643, P>0.05). The anti-HCV unqualified rate was significantly different among regions ( χ2=3 260.283, P<0.05). The anti-HCV unqualified rate of the first blood donors was significantly higher than that of the repeated blood donors ( F=130.993, P < 0.05). The annual number of HCV RNA detected positive per 100 000 anti-HCV negative blood samples from donors ranged from 0 to 17.28. Conclusions:The anti-HCV unqualified rate of blood donors in the served area of 22 blood institutions decreased year by year. Compared with repeated blood donors, HCV infection should be emphasized in first-time blood donors. The implementation of HCV RNA test can detect out much more HCV infections and reduce the risk of transfusion transmitted infectious HCV.

The fall armyworm (FAW), Spodoptera frugiperda, is a destructive pest native to America and has recently become an invasive insect pest in China. Because of its rapid spread and great risks in China, understanding of FAW genetic background and pesticide resistance is urgent and essential to develop effective management strategies. Here, we assembled a chromosome-level genome of a male FAW (SFynMstLFR) and compared re-sequencing results of the populations from America, Africa, and China. Strain identification of 163 individuals collected from America, Africa and China showed that both C and R strains were found in the American populations, while only C strain was found in the Chinese and African populations. Moreover, population genomics analysis showed that populations from Africa and China have close relationship with significantly genetic differentiation from American populations. Taken together, FAWs invaded into China were most likely originated from Africa. Comparative genomics analysis displayed that the cytochrome p450 gene family is extremely expanded to 425 members in FAW, of which 283 genes are specific to FAW. Treatments of Chinese populations with twenty-three pesticides showed the variant patterns of transcriptome profiles, and several detoxification genes such as AOX, UGT and GST specially responded to the pesticides. These findings will be useful in developing effective strategies for management of FAW in China and other invaded areas.
Animals ; China ; Genomics ; Humans ; Male ; Pesticides ; Spodoptera/genetics* ; Transcriptome

OBJECTIVE: To explore the risk factors of anxiety and depression in patients with suspected coronavirus disease 2019 (COVID-19) so as to achieve early intervention and better clinical prognosis. METHODS: Seventy-six patients with suspected COVID-19 in fever isolation wards of Second Hospital of Lanzhou University were enrolled From January 31, 2020 to February 22, 2020. Their clinical baseline data were collected. The anxiety of patients was assessed by Hamilton Anxiety Scale, and the depression of patients was assessed by Hamilton Depression Scale. Multivariate Logistic regression analysis was performed to explore the risk factors of anxiety and depression in these patients. RESULTS: Female patients are more likely to have anxiety (=3.206, 95%: 1.073-9.583, <0.05) and depression (=9.111, 95%: 2.143-38.729, <0.01) than male patients; patients with known contact history of epidemic area and personnel in epidemic area are more likely to have depression (=3.267, 95%: 1.082-9.597, <0.05). CONCLUSIONS During the isolation treatment of suspected COVID-19 patients, early psychological intervention should be carried out for the female patients with known contact history of epidemic area and personnel in epidemic area, and drug treatment should be given in advance if necessary.
Anxiety ; diagnosis ; etiology ; therapy ; Betacoronavirus ; isolation & purification ; Coronavirus Infections ; complications ; diagnosis ; psychology ; Depression ; diagnosis ; etiology ; Female ; Humans ; Logistic Models ; Male ; Pandemics ; Pneumonia, Viral ; complications ; diagnosis ; psychology ; Risk Factors

Objective: To investigate the genetic characteristics of human norovirus (NoV) among infants under 5 years of age with diarrhea in Chaoyang District, Beijing from 2011 to 2017. Methods: NoV-positive stool samples were collected from 2011 to 2017 in this region. The partial RdRp and VP1 genes were amplified and sequenced. Multi-sequence alignment was performed and phylogenetic tree was constructed using Mega software. Results: A total of 151 samples were sequenced and analyzed. The ratio of male and female was 2.28∶1 with mean age of 1.72 years. Fourteen NoV subtypes were detected, including GII.Pe/GII.4 (47.68%), GII.P12/GII.3 (20.53%), GII.P4/GII.4 (17.22%), GII.P16/GII.2 (3.31%), GII.P12/GII.12 (1.99%), GII.P17/GII.17 (1.99%), GII.P16/GII.13 (1.32%), GII.P7/GII.7 (1.32%), GII.P7/GII.6 (1.32%), GII.P2/GII.2 (0.66%), GII.P21/GII.21 (0.66%), GII.Pg/GII.12 (0.66%), GI.Pa/GI.3 (0.66%) and GI.P6/GI.6 (0.66%). Conclusions NoV genetic diversity was found among infants under 5 with diarrhea in Chaoyang district, Beijing. The subtypes from surveillance and those from epidemics occurred in chronological order. The surveillance should be strengthened for early detection of new subtype for monitoring the epidemic and vaccine design.