1.Epidemic characteristics and disease burden of brucellosis in Tongliao City in 2018 - 2023
Shanhong LIU ; Tu BA ; Li MA ; Na GUAN ; Lin XI ; Na TA
Journal of Public Health and Preventive Medicine 2026;37(2):74-78
Objective To comprehensively analyze the current epidemic characteristics and disease burden of brucellosis in Tongliao City, and to provide a basis for the prevention and control strategy of brucellosis in Tongliao City. Methods The report data of brucellosis in Tongliao City from 2018 to 2023 were collected. Descriptive methods were used for data analysis, and the disability-adjusted life years and indirect economic losses were calculated. Results From 2018 to 2023, a total of 22 034 cases were reported in Tongliao City, with an average annual incidence of 136.17/100 000. The incidence was statistically different between men and women ( χ2=12.23, P=0.032). The majority of cases were farmers (94.25%), followed by herdsmen (1.67%). The age group was concentrated between 30-60 years old (79.30%), among which the majority of cases were in the 40-50 years group (6 883/22 034). The onset time had seasonal characteristics, and the peak period was from March to August (the seasonal index was between 115.40%-151.29%). In terms of regional distribution, cases were reported in all counties (banners). The average annual incidence was highest in Kulun Banner (233.85/100 000) and Zalut Banner (210.13/100 000), and lowest in Keerqin District (42.28/100 000) and Holingol City (31.87/100 000). The analysis of disease burden showed that a total of 677.55 person-years (YLD) were lost from 2018 to 2023, with an average annual loss of 112.92 person-years. The total indirect economic loss was 59.3576 million yuan, with an average annual loss of 9.892 9 million yuan, and the people over 60 years old had the lowest annual loss. Conclusion The overall brucellosis epidemic in Tongliao City has shown a fluctuating downward trend. The epidemic prevention and control should be strengthened in farmers, people aged 40-50 years old, and areas such as Zalut Banner and Kulun Banner to further control the epidemic of brucellosis.
2.Predictive value of changes in prealbumin for the prognosis of patients with acute-on-chronic liver failure after artificial liver treatment
Chengzhi BAI ; Bo DENG ; Huaqian XU ; Xue ZHANG ; Qunru WANG ; Xue WANG ; Beijin CHEN ; Si LIU ; Su YANG ; Shanhong TANG
Chinese Journal of Digestion 2025;45(7):462-468
Objective:To explore the predictive value of changes in prealbumin for the prognosis of patients with hepatitis B virus-associated acute-on-chronic liver failure (HBV-ACLF) after artificial liver treatment.Methods:From January 1, 2018 to December 31, 2021, the clinical data (including prealbumin, platelet count, lymphocyte count, alanine transaminase (ALT), etc.) of 87 patients with HBV-ACLF who received artificial liver treatment at the Department of Gastroenterology of the General Hospital of Western Theater Command PLA were retrospectively collected. The 90-day survival status of all the patients was followed up, and the patients were divided into the survival group and the mortality group according to the survival status. The clinical characteristics and the changes of prealbumin on day 1 to 3, day 3 to 7, and day 1 to 7 after artificial liver treatment were compared between the 2 groups. Multivariate logistic regression analysis was used to analyze the independent influencing factors of the 90-day prognosis of HBV-ACLF patients after artificial liver treatment, and the nomogram prediction model was established and the receiver operating characteristic curve (ROC) was drawn to assess the area under the curve (AUC). Hosmer-Lemeshow goodness-of-fit test, calibration curve and clinical decision curve were performed to evaluate the goodness of fit, consistency and clinical value of the prediction model. Paired t-test and Mann-Whitney U test were used for statistical analysis. Results:There were 69 cases enrolled into the survival group, and 18 cases enrolled into the mortality group. The levels of albumin, prealbumin, platelet count, lymphocyte count, and ALT before treatment, and the level of prealbumin at the 3rd day after treatment of the survival group were all higher than those of the mortality group (32.5 (30.6, 35.2) g/L vs. 29.4 (27.6, 32.3) g/L, 66.0 (52.5, 81.5) mg/L vs. 56.5 (39.2, 65.0) mg/L, 103.0 (72.5, 145.0)×10 9/L vs. 63.5 (40.0, 92.5)×10 9/L, 1.1 (0.8, 1.4)×10 9/L vs. 0.9 (0.5, 1.1)×10 9/L, (514.7±86.4) U/L vs. (328.2±93.4) U/L, 90.0 (69.5, 102.5) mg/L vs.68.5(60.0, 75.8) mg/L), and the age, the level of total bilirubin, international normalized ratio, and prothrombin time before treatment of the survival group were all lower than those of the mortality group (48.0 (42.0, 57.0) years old vs. 48.5 (47.0, 56.0) years old, 323.9 (261.2, 409.2) μmol/L vs. 452.2 (405.8, 510.8) μmol/L, 1.5 (1.3, 1.9) vs. 1.9 (1.4, 2.1), 17.3 (14.6, 20.8) s vs. 21.4 (16.6, 23.2) s), and the differences were statistically significant ( Z=-3.38, -2.87, -2.38 and -2.01, t=2.39, Z=-4.11, 3.00, 3.64, 2.18 and 2.37; all P<0.05). The change of prealbumin on day 1 to 3 after treatment in the mortality group was greater than that in the survival group (-0.182 (-0.321, -0.026) vs. -0.043 (-0.133, 0.093)), and the difference was statistically significant ( Z=-3.42, P=0.001). The results of multivariate logistic regression analysis showed that the age, total bilirubin before treatment, and the change of prealbumin on day 1 to 3 after treatment were independent influencing factors for the 90-day prognosis in HBV-ACLF patients after artificial liver treatment (all P<0.05), and the nomogram model was established based on the above 3 factors. The results of ROC analysis showed that the AUC of the prediction model was 0.933 (95% confidence interval: 0.866 to 1.000, P<0.001), with a sensitivity of 0.933 and a specificity of 0.825. The results of the Hosmer-Lemeshow goodness-of-fit test showed that the prediction model had a good fit( P=0.700). The results of calibration curve analysis indicated that the actual curve of the prediction model was close to the calibration curve, with an average absolute error of 0.034, the consistency between the predicted probability and the actual probability was good. The clinical decision curve analysis suggested that the prediction model had significant clinical benefits. Conclusions:The changes of prealbumin after artificial liver treatment in HBV-ACLF patients can reflect the recovery of liver function. The nomogram prediction model based on the change of prealbumin on day 1 to 3 after treatment, age, and total bilirubin before treatment can better predict the 90-day prognosis of HBV-ACLF patients after artificial liver treatment.
3.Predictive value of changes in prealbumin for the prognosis of patients with acute-on-chronic liver failure after artificial liver treatment
Chengzhi BAI ; Bo DENG ; Huaqian XU ; Xue ZHANG ; Qunru WANG ; Xue WANG ; Beijin CHEN ; Si LIU ; Su YANG ; Shanhong TANG
Chinese Journal of Digestion 2025;45(7):462-468
Objective:To explore the predictive value of changes in prealbumin for the prognosis of patients with hepatitis B virus-associated acute-on-chronic liver failure (HBV-ACLF) after artificial liver treatment.Methods:From January 1, 2018 to December 31, 2021, the clinical data (including prealbumin, platelet count, lymphocyte count, alanine transaminase (ALT), etc.) of 87 patients with HBV-ACLF who received artificial liver treatment at the Department of Gastroenterology of the General Hospital of Western Theater Command PLA were retrospectively collected. The 90-day survival status of all the patients was followed up, and the patients were divided into the survival group and the mortality group according to the survival status. The clinical characteristics and the changes of prealbumin on day 1 to 3, day 3 to 7, and day 1 to 7 after artificial liver treatment were compared between the 2 groups. Multivariate logistic regression analysis was used to analyze the independent influencing factors of the 90-day prognosis of HBV-ACLF patients after artificial liver treatment, and the nomogram prediction model was established and the receiver operating characteristic curve (ROC) was drawn to assess the area under the curve (AUC). Hosmer-Lemeshow goodness-of-fit test, calibration curve and clinical decision curve were performed to evaluate the goodness of fit, consistency and clinical value of the prediction model. Paired t-test and Mann-Whitney U test were used for statistical analysis. Results:There were 69 cases enrolled into the survival group, and 18 cases enrolled into the mortality group. The levels of albumin, prealbumin, platelet count, lymphocyte count, and ALT before treatment, and the level of prealbumin at the 3rd day after treatment of the survival group were all higher than those of the mortality group (32.5 (30.6, 35.2) g/L vs. 29.4 (27.6, 32.3) g/L, 66.0 (52.5, 81.5) mg/L vs. 56.5 (39.2, 65.0) mg/L, 103.0 (72.5, 145.0)×10 9/L vs. 63.5 (40.0, 92.5)×10 9/L, 1.1 (0.8, 1.4)×10 9/L vs. 0.9 (0.5, 1.1)×10 9/L, (514.7±86.4) U/L vs. (328.2±93.4) U/L, 90.0 (69.5, 102.5) mg/L vs.68.5(60.0, 75.8) mg/L), and the age, the level of total bilirubin, international normalized ratio, and prothrombin time before treatment of the survival group were all lower than those of the mortality group (48.0 (42.0, 57.0) years old vs. 48.5 (47.0, 56.0) years old, 323.9 (261.2, 409.2) μmol/L vs. 452.2 (405.8, 510.8) μmol/L, 1.5 (1.3, 1.9) vs. 1.9 (1.4, 2.1), 17.3 (14.6, 20.8) s vs. 21.4 (16.6, 23.2) s), and the differences were statistically significant ( Z=-3.38, -2.87, -2.38 and -2.01, t=2.39, Z=-4.11, 3.00, 3.64, 2.18 and 2.37; all P<0.05). The change of prealbumin on day 1 to 3 after treatment in the mortality group was greater than that in the survival group (-0.182 (-0.321, -0.026) vs. -0.043 (-0.133, 0.093)), and the difference was statistically significant ( Z=-3.42, P=0.001). The results of multivariate logistic regression analysis showed that the age, total bilirubin before treatment, and the change of prealbumin on day 1 to 3 after treatment were independent influencing factors for the 90-day prognosis in HBV-ACLF patients after artificial liver treatment (all P<0.05), and the nomogram model was established based on the above 3 factors. The results of ROC analysis showed that the AUC of the prediction model was 0.933 (95% confidence interval: 0.866 to 1.000, P<0.001), with a sensitivity of 0.933 and a specificity of 0.825. The results of the Hosmer-Lemeshow goodness-of-fit test showed that the prediction model had a good fit( P=0.700). The results of calibration curve analysis indicated that the actual curve of the prediction model was close to the calibration curve, with an average absolute error of 0.034, the consistency between the predicted probability and the actual probability was good. The clinical decision curve analysis suggested that the prediction model had significant clinical benefits. Conclusions:The changes of prealbumin after artificial liver treatment in HBV-ACLF patients can reflect the recovery of liver function. The nomogram prediction model based on the change of prealbumin on day 1 to 3 after treatment, age, and total bilirubin before treatment can better predict the 90-day prognosis of HBV-ACLF patients after artificial liver treatment.
4.Research progress on guilt among family caregivers of patients with dementia
Feifei LI ; Yueyuan HE ; Cailing LIU ; Shanhong ZHANG
Chinese Journal of Modern Nursing 2024;30(3):417-420
This paper reviewed the overview, assessment tools, influencing factors and intervention measures of guilt of family caregivers of dementia patients, aiming to provide reference for formulating targeted intervention measures to reduce guilt of family caregivers of dementia patients.
5.Progress in the application of the Satir model in the field of nursing in China
Feifei LI ; Yueyuan HE ; Cailing LIU ; Shanhong ZHANG
Chinese Journal of Modern Nursing 2024;30(9):1251-1255
The Satir model, grounded in humanism and oriented towards growth, is a psychological therapy model aimed at enhancing self-esteem, improving communication, and facilitating personal integration of mind and body, achieving internal and external harmony. In recent years, the Satir model has garnered increasing attention from nursing educators and scholars. This study provides a comprehensive review of the theoretical foundations, therapeutic techniques, and applications of the Satir model in the field of nursing in China. The aim is to offer new perspectives and theoretical references for the nursing practice of the Satir model and to enrich psychological nursing methods.
6.Construction of a risk prediction model for overt hepatic encephalopathy after transjugular intrahepatic portosystemic shunt in patients with hepatitis B cirrhosis and portal hypertension
Lanjing WANG ; Jianping QIN ; Xin YAO ; Qi QI ; Lin LIU ; Shanhong TANG
Journal of Clinical Hepatology 2024;40(6):1149-1155
Objective To investigate the influencing factors for overt hepatic encephalopathy(OHE)in patients with hepatitis B cirrhosis after transjugular intrahepatic portosystemic shunt(TIPS),and to construct an individualized risk prediction model.Methods A total of 302 patients with hepatitis B cirrhosis who underwent TIPS in Department of Gastroenterology,The General Hospital of Western Theater Command,from January 2017 to December 2021 were enrolled,and according to the presence or absence of OHE after surgery,they were divided into non-OHE group with 237 patients and OHE group with 65 patients.The two groups were compared in terms of general data,laboratory markers,Child-Turcotte-Pugh(CTP)score,MELD combined with serum sodium concentration(MELD-Na)score,and albumin-bilirubin(ALBI)score before surgery.The independent-samples t test or the Mann-Whitney U test was used for comparison of continuous data between two groups,and the chi-square test was used for comparison of categorical data between two groups.The univariate and multivariate logistic regression analyses were used to identify the influencing factors for OHE after TIPS in patients with hepatitis B cirrhosis,and independent influencing factors were used to construct a nomogram model.The receiver operating characteristic(ROC)curve analysis and the calibration curve analysis were used to evaluate the discriminatory ability and calibration of the model,and the decision curve analysis and the clinical impact curve(CIC)were used to evaluate the clinical effectiveness of the model.Results Age(odds ratio[OR]=1.035,95%confidence interval[CI]:1.004-1.066,P<0.05),white blood cell count(WBC)/platelet count(PLT)ratio(OR=33.725,95%CI:1.220-932.377,P<0.05),international normalized ratio(INR)(OR=5.149,95%CI:1.052-25.207,P<0.05),and pre-albumin(PAB)(OR=0.992,95%CI:0.983-1.000,P<0.05)were independent predictive factors for OHE after TIPS in patients with hepatitis B cirrhosis.The nomogram model constructed based on age,WBC/PLT ratio,INR,and PAB had an area under the ROC curve of 0.716(95%CI:0.649-0.781),with a sensitivity of 78.5%and a specificity of 56.1%.Conclusion The nomogram model constructed based on age,WBC/PLT ratio,INR,and PAB can help to predict the risk of OHE after TIPS in patients with hepatitis B cirrhosis.
8.Effect of improved management of nursing quality based on Plato analysis on the rehabilitation of patients with acute myocardial infarction after percutaneous coronary intervention
Fang WANG ; Shanhong SUN ; Qing LIU
Chinese Journal of Health Management 2020;14(4):350-355
Objective:To investigate the effect of improved management of nursing quality based on Plato analysis on the rehabilitation of patients with acute myocardial infarction (AMI) after percutaneous coronary intervention (PCI).Methods:A total of 198 patients with AMI after PCI were enrolled from the Lianyungang First People′s Hospital from October 2018 to April 2019 and from May to November 2019. The conventional nursing management method (referred to as the regular group), and the quality improved nursing based on the Platonic analysis method (referred to as the improved group) were implemented respectively. The implementation status of exercise rehabilitation, exercise ability of the two groups, and comprehensive quality scores of nurses were compared between the two groups.Results:The WeChat punch-in days, the number of compliant sports videos uploaded per week, the number of compliant diet photos uploaded per week in improved group were more than those in regular group [(5.47±0.56) vs. (3.56±0.41) d, (5.72±0.61) vs. (2.86±0.24) pieces, (17.92±1.80) vs. (12.01±1.47) pieces], the rehabilitation sports knowledge scores were higher than that in regular group [(83.34±7.91) vs. (62.39±6.34) points](all P<0.001). The anaerobic threshold oxygen uptake (VO 2AT/kg) of patients in the improved group was higher than that in the regular group [(19.38±2.74) vs. (17.25±2.61) ml·min -1·kg -1] ( P<0.001). The results of the nurses′ comprehensive quality radar chart showed that the nurses′ brainstorming, responsibility, enthusiasm, team cohesion and communication and coordination scores after implementation of the nursing quality improvement management based on the Plato analysis were higher than those before the implementation [(4.15±0.49) vs. (2.95±0.31) points, (3.94±0.40) vs. (2.08±0.24) points, (4.01±0.43) vs. (2.65±0.28) points, (4.62±0.36) vs. (3.01±0.35) points, (4.53±0.43) vs. (3.16±0.37) points] (all P<0.001). Conclusion:The improved management of nursing quality based on the Plato analysis method can improve the implementation of rehabilitation exercise prescriptions for patients with AMI aftre PCI, enhance their endurance of exercise, and improve the overall quality of nurses.
9. Blunt cardiac injury: analysis of 348 patients
Jinmou GAO ; Lingwen KONG ; Hui LI ; Dingyuan DU ; Chaopu LIU ; Changhua LI ; Jun YANG ; Shanhong ZHAO
Chinese Journal of Emergency Medicine 2019;28(11):1390-1394
Objective:
To explore the early diagnosis, therapeutic methods and efficacy for blunt cardiac injury (BCI).
Methods:
All BCI patients from September 2003 to August 2018 were studied retrospectively in respect of sex, age, cause of injury, diagnostic methods, therapeutic procedures, and outcome. The patients were divided into two groups: nonoperative group (
10.Current situation of healthcare-associated infection management systems in Shaanxi Province
Fangfei LIU ; Hongliang DONG ; Shanhong FAN ; Hongmei WANG ; Yao SUO
Chinese Journal of Infection Control 2016;15(9):702-705
Objective To investigate the current situation of healthcare-associated infection(HAI)management in secondary and above medical institutions in Shaanxi Province,analyze development trend,and put forward sugges-tions for improvement.Methods In May-June,2016,170 secondary and above hospitals in 10 cities were selected for surveying through stratified random sampling method.Survey content included basic situation of hospitals,HAI management,HAI monitoring,and so on.Results Available questionnaires were obtained from 165 hospitals (43 tertiary hospitals,and 122 secondary hospitals).Of 165 hospitals,more than 90% have established HAI manage-ment organizations and regulations,but hospital risk management should be paid more attention,only 63.03% of hospitals perfected the risk management system and 66.06% conducted risk assessment.99.09% of hospitals im-plement training on HAI to all staff regularly and 88.41% conducted effective feedback.In the aspect of staff alloca-tion,88.48% of the hospitals assigned enough professionals for HAI management,but only 34.55% have specific training programme for these personnel.Only 33.94% of hospitals have special funds for HAI control;in the aspect of monitoring on HAI,21.21% of hospital installed and used HAI monitoring software;In the aspect of implemen-tation of monitoring programme,about 90% of hospitals developed monitoring on HAI cases and environmental hy-giene,but only 34.55% and 23.64% of hospitals conducted targeted monitoring on intensive care unit and neonatal intensive care unit respectively.Conclusion Organizational structure of HAI management in Shaanxi Province is perfect,relevant rules and regulations are basically established,basic monitoring projects are universal,but the awareness of risk management needs to be strengthened,professional allocation and professional quality develop-ment are both imbalance,informational monitoring is inadequate.


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