Objective:To evaluate the correlation between preoperative platelet function and in-hospital mortality in patients with acute Stanford A aortic dissection(ATAAD) undergoing emergency surgery.Methods:ATAAD emergency surgical patients who underwent preoperative thromboelastography(TEG) examination at three cardiovascular disease hospitals from January 2018 to December 2023 were consecutively selected in this study. The patients were divided into two groups according to whether the patient survived to discharge.Results:867 patients were included in this study. The in-hospital mortality was 11.2%(97 cases). Compared with the DG group(97 cases), the age, pericardial effusion volume, lactate concentration, and MA value of patients in the SG group(770 cases) were higher( P<0.001). Factors independently associated with in-hospital mortality were age(>60 years old), coronary hypoperfusion, pericardial effusion volume(>200.00 ml), and MA value(<60.6 mm). There was a correlation between MA value and in-hospital mortality( P=0.012), and the mediating effect between MA value and platelet count was not significant. Conclusion:There is a correlation between preoperative platelet function and in-hospital in ATAAD patients, and improving platelet function may be one of the important ways to improve the clinical prognosis of those patients.

Objective To explore the changes of core symptoms and nursing strategies for lymphoma patients during chemotherapy using a dynamic network analysis model,and provide a reference for precise symptom intervention.Methods A longitudinal study was conducted,and lymphoma patients undergoing chemotherapy in the Department of Lymphoma at a tertiary hospital in Tianjin from September 2021 to December 2023 were conveniently sampled.The Lymphoma Patient Symptom Assessment Scale was used to track symptoms at 3 time points:7 to 14 days after the 1st treatment cycle(T1),the 3rd cycle(T2),and the 6th cycle(T3).Dynamic symptom network analysis,including network relationships,core symptoms,and bridge symptoms,was performed using R software.Results During the research process,135 participants withdrew,resulting in a final inclusion of 865 cases for analysis.Fatigue exhibited the highest incidence rate(34.80％)at T1;alopecia was the most prevalent symptom(58.03％and 53.64％,respectively)at T2 and T3.The T1→T2 dynamic network analysis showed that fever had the highest out-expected influence(EI=0.551)and bridge expected influence(EI=0.225).The T2→T3 dynamic network analysis showed that limb numbness exhibited the highest out-expected influence(EI=0.203)and bridge-expected influence(EI=0.170).Reliability tests indicated that both dynamic networks demonstrated moderate accuracy but suboptimal stability.Conclusion Fatigue was the most common symptom at T1;alopecia was the most prevalent symptom at T2 and T3.Fever was the core symptom and bridging symptom in the T1→T2 symptom network,whereas limb numbness assumed the role of the core symptom and bridging symptom in the T2→T3 symptom network.The clinical practitioners could take high-incidence symptoms and core symptoms as intervention targets to develop precise symptom management strategies for lymphoma patients undergoing chemotherapy.

OBJECTIVE To investigate the characteristics of influenza A and influenza B viruses infections in the children aged between 0 and 14 years old after COVID-19 was downgraded to category B management of infectious diseases.METHODS From Jan.2023 to Feb.2024,a total of 2349 children aged between 0 and 14 years old who were treated in Beijing Hospital of Traditional Chinese Medicine,Capital Medical University due to influenza-like symptoms of infection and received nucleic acid testing for influenza A and influenza B viruses were recruited as the research subjects.The gender and age of the children as well as the seasons were observed by chi-square test.RESULTS Totally 2349 children were included in the study,and the total positive rate of influenza was 49.85％(1171/2349);the positive rate of influenza A virus was 36.36％(854/2349),the positive rate of influenza B virus was 13.92％(327/2349),and the positive rate of the mixed infections of influenza A virus and influenza B virus was 0.43％(10/2349).The positive rate of influenza A of the girls was the highest(44.17％)(x2=8.980,P=0.011)among the children aged less than 5 years old;the positive rate of influenza B of the boys was the highest(17.19％)(x2=8.378,P=0.015)among the children aged between 5 and 10 years old.There was significant difference in the positive rate of influenza A virus among the seasons in 2023 to 2024(x2=268.12,P＜0.001);the prevalence rate was 60.93％in spring,44.40％in autumn,22.01％in winter.There was significant difference in the positive rate of influenza B virus among the seasons in 2023 to 2024(x2=373.16,P＜0.001),and the preva-lence rate was 25.44％in winter.CONCLUSIONS The influenza viruses are prevalent in spring,autumn and winter from 2023 to 2024,and the influenza A is dominant.The positive rate of influenza viruses shows an upward trend among the children aged between 0 and 14 years old after the COVID-19 is downgraded to category B management of infectious diseases,with the peak of prevalence lagging behind.

Objective:To investigate the influencing factors of major adverse cardiovascular events (MACE) in maintenance hemodialysis (MHD) patients, and to construct and verify the nomogram.Methods:The clinical data of 240 patients with MHD admitted to the First Affiliated Hospital of Hebei North University from July 2022 to October 2023 were retrospectively analyzed. According to whether the patients had MACE, they were divided into two groups, namely the occurrence group (with MACE, n=55) and the non-occurrence group (without MACE, n=185). After comparing the clinical data of the two groups, The independent risk factors of MHD patients with MACE were screened by binary logistic regression analysis, and the risk nomogram prediction model was constructed according to the risk factors, and the prediction efficiency of the model was analyzed by Bootstrap method. Results:There were significant differences in age, dialysis age, hyperlipidemia, hyperuricemia and hemodialysis flux between the two groups (all P<0.05). Binary logistic regression model analysis showed that dialysis age >12 months, combined with hyperlipidemia, combined with hyperuricemia, and low throughput hemodialysis were independent risk factors for MHD patients with MACE (all P<0.05). The neomorph risk prediction model was constructed based on independent risk factors. The area under the curve (AUC) of the prediction model was 0.842(95% CI: 0.789-0.896), the specificity was 69.1%, the sensitivity was 89.7%, the cutoff value was 13.128, and the Yoden index was 0.588, suggesting that the accuracy of the model was good. Conclusions:Dialysis age >12 months, combined with hyperlipidemia, combined with hyperuricemia and low throughput hemodialysis are independent risk factors for MACE in MHD patients. Intervention and control of risk factors can reduce the incidence of MACE.

Objective:To investigate the current status and related factors of antiviral treatment for chronic hepatitis B virus (HBV) infection in rural communities in China.Methods:In 2023, 866 chronic HBV-infected individuals from rural communities in Zhangqiu District, Jinan City, were included in the study. Basic information, disease status and antiviral treatment conditions of the infected individuals were collected through questionnaires, specimen collection and laboratory tests. Univariate and multivariate logistic regression were used to analyze the related factors of the antiviral treatment rate of those who met the indications for hepatitis B antiviral treatment.Results:The median age ( Q1, Q3) of subjects was 56 (48, 66) years old, among which 436 (50.4%) were males. There were 712 (82.2%) individuals who met the indications for hepatitis B antiviral treatment, and 110 individuals received antiviral treatment with a rate of 15.5%. Multivariate logistic regression analysis showed that compared with males, families with an average monthly income per capita of <1 000 yuan, no alcohol consumption, no smoking, and a family history of HBV infection, females ( OR=4.66, 95% CI: 2.88-7.53), families with an average monthly income per capita of 1 000-1 999 yuan ( OR=1.64, 95% CI: 1.00-2.68) and ≥2 000 yuan ( OR=2.78, 95% CI: 1.54-5.03), alcohol consumption ( OR=6.42, 95% CI: 2.80-14.7), smoking ( OR=1.98, 95% CI: 1.04-3.77), and no family history of HBV infection ( OR=1.90, 95% CI: 1.16-3.09) had a lower antiviral treatment rate for chronic HBV infection. Conclusion:The antiviral treatment rate of chronic HBV-infected individuals in rural communities of Zhangqiu District, Jinan City is low, and the related factors are female, high monthly income per capita, alcohol consumption, smoking, and no family history of HBV infection.

Objective To analyze the innovative model and effectiveness of the four-level prevention of stroke in Nantong Medical and Prevention Collaborative Center for Cardiovascular and Cerebrovascular Disease,so as to provide new practical experience for the prevention and treatment of cerebrovascular disease.Methods In practice,Nantong city has explored the"53343"mode of collaborative treatment and prevention of cardiovascular and cerebrovascular diseases,and innovatively integrated this mode into four-level prevention to form a practice mode of zero-level guidance,first-level monitoring,second-level coordination and three-level leading.Data from the China Health Statistics Yearbook from 2011 to 2022 and the monitoring data of cardiovascular and cerebrovascular events in Nantong City on the Jiangsu Provincial Chronic Disease Management Information Platform from 2017 to 2023 were collected and processed by using Excel and SPSS 24.0,to analyze the changes of stroke surveillance data and effectiveness in Nantong City after applying the model.Results According to the monitoring data of cardiovascular and cerebrovascular events in Nantong City from the Jiangsu Provincial Chronic Disease Management Information Platform,despite the continuous increase in the number of monitored individuals over five years,the monitoring data for stroke from the Nantong Medical and Prevention Collaborative Center for Cardiovascular and Cerebrovascular Disease witnessed a decline in the number of monitored individuals for the first time in 2022.The stroke monitoring data from the same monitoring agency showed a more stable fluctuation trend compared to the number of national stroke patients discharged from 2017 to 2021.We established a coherent health service operation mechanism,cultivated 14 interdisciplinary talents,held a special continuing education class on stroke,strengthened the in-depth collaboration between clinical and public health,and provided a practical and innovative model for effective prevention and treatment of stroke.Conclusions The four-level prevention based on the medical and preventive collaboration center for cardiovascular and cerebrovascular diseases can achieve process and cycle health management,effectively slow down the upward trend of stroke,and improve the ability and level of scientific research and teaching.

Objective:To investigate the current status and related factors of antiviral treatment for chronic hepatitis B virus (HBV) infection in rural communities in China.Methods:In 2023, 866 chronic HBV-infected individuals from rural communities in Zhangqiu District, Jinan City, were included in the study. Basic information, disease status and antiviral treatment conditions of the infected individuals were collected through questionnaires, specimen collection and laboratory tests. Univariate and multivariate logistic regression were used to analyze the related factors of the antiviral treatment rate of those who met the indications for hepatitis B antiviral treatment.Results:The median age ( Q1, Q3) of subjects was 56 (48, 66) years old, among which 436 (50.4%) were males. There were 712 (82.2%) individuals who met the indications for hepatitis B antiviral treatment, and 110 individuals received antiviral treatment with a rate of 15.5%. Multivariate logistic regression analysis showed that compared with males, families with an average monthly income per capita of <1 000 yuan, no alcohol consumption, no smoking, and a family history of HBV infection, females ( OR=4.66, 95% CI: 2.88-7.53), families with an average monthly income per capita of 1 000-1 999 yuan ( OR=1.64, 95% CI: 1.00-2.68) and ≥2 000 yuan ( OR=2.78, 95% CI: 1.54-5.03), alcohol consumption ( OR=6.42, 95% CI: 2.80-14.7), smoking ( OR=1.98, 95% CI: 1.04-3.77), and no family history of HBV infection ( OR=1.90, 95% CI: 1.16-3.09) had a lower antiviral treatment rate for chronic HBV infection. Conclusion:The antiviral treatment rate of chronic HBV-infected individuals in rural communities of Zhangqiu District, Jinan City is low, and the related factors are female, high monthly income per capita, alcohol consumption, smoking, and no family history of HBV infection.

Objective To explore the changes of core symptoms and nursing strategies for lymphoma patients during chemotherapy using a dynamic network analysis model,and provide a reference for precise symptom intervention.Methods A longitudinal study was conducted,and lymphoma patients undergoing chemotherapy in the Department of Lymphoma at a tertiary hospital in Tianjin from September 2021 to December 2023 were conveniently sampled.The Lymphoma Patient Symptom Assessment Scale was used to track symptoms at 3 time points:7 to 14 days after the 1st treatment cycle(T1),the 3rd cycle(T2),and the 6th cycle(T3).Dynamic symptom network analysis,including network relationships,core symptoms,and bridge symptoms,was performed using R software.Results During the research process,135 participants withdrew,resulting in a final inclusion of 865 cases for analysis.Fatigue exhibited the highest incidence rate(34.80％)at T1;alopecia was the most prevalent symptom(58.03％and 53.64％,respectively)at T2 and T3.The T1→T2 dynamic network analysis showed that fever had the highest out-expected influence(EI=0.551)and bridge expected influence(EI=0.225).The T2→T3 dynamic network analysis showed that limb numbness exhibited the highest out-expected influence(EI=0.203)and bridge-expected influence(EI=0.170).Reliability tests indicated that both dynamic networks demonstrated moderate accuracy but suboptimal stability.Conclusion Fatigue was the most common symptom at T1;alopecia was the most prevalent symptom at T2 and T3.Fever was the core symptom and bridging symptom in the T1→T2 symptom network,whereas limb numbness assumed the role of the core symptom and bridging symptom in the T2→T3 symptom network.The clinical practitioners could take high-incidence symptoms and core symptoms as intervention targets to develop precise symptom management strategies for lymphoma patients undergoing chemotherapy.

OBJECTIVE To investigate the characteristics of influenza A and influenza B viruses infections in the children aged between 0 and 14 years old after COVID-19 was downgraded to category B management of infectious diseases.METHODS From Jan.2023 to Feb.2024,a total of 2349 children aged between 0 and 14 years old who were treated in Beijing Hospital of Traditional Chinese Medicine,Capital Medical University due to influenza-like symptoms of infection and received nucleic acid testing for influenza A and influenza B viruses were recruited as the research subjects.The gender and age of the children as well as the seasons were observed by chi-square test.RESULTS Totally 2349 children were included in the study,and the total positive rate of influenza was 49.85％(1171/2349);the positive rate of influenza A virus was 36.36％(854/2349),the positive rate of influenza B virus was 13.92％(327/2349),and the positive rate of the mixed infections of influenza A virus and influenza B virus was 0.43％(10/2349).The positive rate of influenza A of the girls was the highest(44.17％)(x2=8.980,P=0.011)among the children aged less than 5 years old;the positive rate of influenza B of the boys was the highest(17.19％)(x2=8.378,P=0.015)among the children aged between 5 and 10 years old.There was significant difference in the positive rate of influenza A virus among the seasons in 2023 to 2024(x2=268.12,P＜0.001);the prevalence rate was 60.93％in spring,44.40％in autumn,22.01％in winter.There was significant difference in the positive rate of influenza B virus among the seasons in 2023 to 2024(x2=373.16,P＜0.001),and the preva-lence rate was 25.44％in winter.CONCLUSIONS The influenza viruses are prevalent in spring,autumn and winter from 2023 to 2024,and the influenza A is dominant.The positive rate of influenza viruses shows an upward trend among the children aged between 0 and 14 years old after the COVID-19 is downgraded to category B management of infectious diseases,with the peak of prevalence lagging behind.

Objective To analyze the innovative model and effectiveness of the four-level prevention of stroke in Nantong Medical and Prevention Collaborative Center for Cardiovascular and Cerebrovascular Disease,so as to provide new practical experience for the prevention and treatment of cerebrovascular disease.Methods In practice,Nantong city has explored the"53343"mode of collaborative treatment and prevention of cardiovascular and cerebrovascular diseases,and innovatively integrated this mode into four-level prevention to form a practice mode of zero-level guidance,first-level monitoring,second-level coordination and three-level leading.Data from the China Health Statistics Yearbook from 2011 to 2022 and the monitoring data of cardiovascular and cerebrovascular events in Nantong City on the Jiangsu Provincial Chronic Disease Management Information Platform from 2017 to 2023 were collected and processed by using Excel and SPSS 24.0,to analyze the changes of stroke surveillance data and effectiveness in Nantong City after applying the model.Results According to the monitoring data of cardiovascular and cerebrovascular events in Nantong City from the Jiangsu Provincial Chronic Disease Management Information Platform,despite the continuous increase in the number of monitored individuals over five years,the monitoring data for stroke from the Nantong Medical and Prevention Collaborative Center for Cardiovascular and Cerebrovascular Disease witnessed a decline in the number of monitored individuals for the first time in 2022.The stroke monitoring data from the same monitoring agency showed a more stable fluctuation trend compared to the number of national stroke patients discharged from 2017 to 2021.We established a coherent health service operation mechanism,cultivated 14 interdisciplinary talents,held a special continuing education class on stroke,strengthened the in-depth collaboration between clinical and public health,and provided a practical and innovative model for effective prevention and treatment of stroke.Conclusions The four-level prevention based on the medical and preventive collaboration center for cardiovascular and cerebrovascular diseases can achieve process and cycle health management,effectively slow down the upward trend of stroke,and improve the ability and level of scientific research and teaching.