1.Clinical experience in surgical treatment of T4a thyroid cancer
Zhaohui WANG ; Yibo CHEN ; Yixin SUN ; Guiming FU ; Jiahui WANG ; Jin CHEN ; Chunhua LI
Journal of Xi'an Jiaotong University(Medical Sciences) 2024;45(1):62-68
Objective To analyze the clinical features and surgical treatment strategies of T4a thyroid cancer.Methods We retrospectively analyzed patients with thyroid cancer treated in the Department of Head and Neck Surgery of Sichuan Cancer Hospital from January 2004 to May 2021.A total of 303 cases were included and statistically analyzed for pathological type,invaded organs,surgical approach,survival time,and overall survival rate.The postoperative survival curves of the patients were analyzed using the Kaplan Meier method.Results Of the 303 patients enrolled,53 patients were lost to follow-up,and the 1-year,3-year and 5-year overall survival rates were 98.4%(246/250),97.0%(224/231)and 90.2%(92/102),respectively.Of the 94 patients with recurrent laryngeal nerve invasion only,13 were lost to follow-up,and the 1-year,3-year and 5-year overall survival rates were 100%(81/81),98.7%(77/78)and 97.4%(38/39),respectively.There were 151 patients with invasion of recurrent laryngeal nerve and tracheal/laryngeal/esophageal nerve,31 of them were lost to follow-up,and the 1-year,3-year and 5-year overall survival rates were 96.7%(116/120),95.3%(101/106)and 82.2%(37/45),respectively.According to the survival curve analysis,the group with recurrent laryngeal nerve invasion only had an advantage in overall survival time over the group with recurrent laryngeal nerve and tracheal/laryngeal/esophageal invasion.Conclusion Surgical resection is supposed to be preferred for T4a thyroid cancer if there is a chance of surgery.A reasonable surgical strategy,radical surgery while preserving the vital tissues and organs,and one-stage repair and reconstruction can bring patients a better quality of life and prognosis.
2.Analysis of Evaluation Method of Bed Utilization Efficiency in Clinical Departments based on Time Consumption Index
Yuyang ZHAO ; Jin HAO ; Chunhua WU
Chinese Hospital Management 2024;44(7):46-49
Objective To evaluate the utilization efficiency of beds in clinical departments based on time consumption index.Methods Selecting data from the 2019 annual report of medical work statistics and data from the Beijing inpatient medical service performance evaluation platform of a tertiary grade A general hospital of Traditional Chinese Medicine,the time consumption index of departments was calculated,based on which the regional average inpatient day of each department was calculated.and the number of standard bed turnover was calculated based on the target bed utilization rate.The bed utilization model was constructed based on the actual bed utilization in the department.Results Beds are open for a certain number of days,based on the target bed occupancy rate of each department and the average inpatient days within the DRG region of each department can be calculated based on the annual standard bed turnover number of the department based on the DRG disease group,on the basis of which the bed utilisation model is constructed.59.09%of the departments were efficiency departments,and the departments of press bed type,idle type and weekly transition all accounted for 13.64%respectively.Conclusion Introducing the time consumption index into the evaluation of bed utilization efficiency is in line with the actual work situation.Shortening the time consumption index is the most important thing to improve the bed utilization efficiency.The evaluation results can be used as the basis for the allocation of hospital bed resources.
3.Establishment of a noninvasive diagnostic model for chronic hepatitis B liver fibrosis patients with normal aminotransferases aged≤30 years
Qingrong TANG ; Changxiang LAI ; Fang WANG ; Jin LU ; Chunhua XU ; Xiangjun LI ; Yizhou XU
Journal of Clinical Hepatology 2024;40(9):1790-1795
Objective To establish a noninvasive diagnostic model for liver fibrosis in chronic hepatitis B(CHB)patients with normal alanine aminotransferase(ALT)and an age of≤30 years by selecting specific indicators from the commonly used noninvasive indicators such as clinical,biochemical,and imaging indicators,to avoid invasive liver biopsy in such patients to some extent,and to guide the timing of antiviral therapy.Methods A total of 251 CHB patients with normal ALT and an age of≤30 years who underwent liver biopsy in Shenzhen Third People's Hospital and The First Hospital of Changsha from January 2019 to January 2022 were enrolled,with 175 patients in the model group and 76 patients in the validation group,and commonly used clinical indicators were obtained based on clinical experience and related articles.The two-independent-samples t test or the two-independent-samples Mann-Whitney U rank sum test was used for comparison of continuous data between groups,and the chi-square test was used for comparison of categorical data between groups.A Spearman rank correlation analysis was used to investigate the correlation between each indicator and liver fibrosis and identify the indicators with correlation(P<0.01,r>0.200);a Logistic regression analysis was used to establish a noninvasive diagnostic model,and the receiver operating characteristic(ROC)curve was used to evaluate its performance and perform validation of the model;this model was then compared with the widely used models of aspartate aminotransferase-to-platelet ratio index(APRI)and fibrosis-4(FIB-4).The Kappa consistency test was used to investigate the consistency of pathological results.Results A total of 17 commonly used clinical indicators were obtained,among which 9 indicators(ALT,aspartate aminotransferase[AST],gamma-glutamyl transpeptidase[GGT],ferritin[FERR],platelet count[PLT],procollagen type Ⅲ amino-terminal peptide[PⅢP],collagen Ⅳ[CⅣ],HBV DNA,and spleen thickness)were correlated with liver fibrosis(P<0.01,r>0.232).Based on the above indicators,the predictive model was established as P=1/(1+e-γ),γ=-1.902+0.106×AST-0.011×PLT-0.265×HBV DNA+0.059×PⅢP,in which P was the probability for predicting≥S2 liver fibrosis and γ was the predictive index.The comparison between each indicator and the model showed that the model had the largest area under the ROC curve of 0.852,with a sensitivity of 92.7%and a specificity of 76.9%.The model was validated in 76 patients and showed an accuracy of 77.600%.The model was compared with APRI and FIB-4,and the results showed that the model has good accuracy.Conclusion Compared with the models of APRI and FIB-4 commonly used in the world,this model can more accurately judge the degree of liver fibrosis in such patients,thereby replacing liver biopsy to some extent and guiding the timing of antiviral therapy.
4.Analysis of Evaluation Method of Bed Utilization Efficiency in Clinical Departments based on Time Consumption Index
Yuyang ZHAO ; Jin HAO ; Chunhua WU
Chinese Hospital Management 2024;44(7):46-49
Objective To evaluate the utilization efficiency of beds in clinical departments based on time consumption index.Methods Selecting data from the 2019 annual report of medical work statistics and data from the Beijing inpatient medical service performance evaluation platform of a tertiary grade A general hospital of Traditional Chinese Medicine,the time consumption index of departments was calculated,based on which the regional average inpatient day of each department was calculated.and the number of standard bed turnover was calculated based on the target bed utilization rate.The bed utilization model was constructed based on the actual bed utilization in the department.Results Beds are open for a certain number of days,based on the target bed occupancy rate of each department and the average inpatient days within the DRG region of each department can be calculated based on the annual standard bed turnover number of the department based on the DRG disease group,on the basis of which the bed utilisation model is constructed.59.09%of the departments were efficiency departments,and the departments of press bed type,idle type and weekly transition all accounted for 13.64%respectively.Conclusion Introducing the time consumption index into the evaluation of bed utilization efficiency is in line with the actual work situation.Shortening the time consumption index is the most important thing to improve the bed utilization efficiency.The evaluation results can be used as the basis for the allocation of hospital bed resources.
5.Analysis of Evaluation Method of Bed Utilization Efficiency in Clinical Departments based on Time Consumption Index
Yuyang ZHAO ; Jin HAO ; Chunhua WU
Chinese Hospital Management 2024;44(7):46-49
Objective To evaluate the utilization efficiency of beds in clinical departments based on time consumption index.Methods Selecting data from the 2019 annual report of medical work statistics and data from the Beijing inpatient medical service performance evaluation platform of a tertiary grade A general hospital of Traditional Chinese Medicine,the time consumption index of departments was calculated,based on which the regional average inpatient day of each department was calculated.and the number of standard bed turnover was calculated based on the target bed utilization rate.The bed utilization model was constructed based on the actual bed utilization in the department.Results Beds are open for a certain number of days,based on the target bed occupancy rate of each department and the average inpatient days within the DRG region of each department can be calculated based on the annual standard bed turnover number of the department based on the DRG disease group,on the basis of which the bed utilisation model is constructed.59.09%of the departments were efficiency departments,and the departments of press bed type,idle type and weekly transition all accounted for 13.64%respectively.Conclusion Introducing the time consumption index into the evaluation of bed utilization efficiency is in line with the actual work situation.Shortening the time consumption index is the most important thing to improve the bed utilization efficiency.The evaluation results can be used as the basis for the allocation of hospital bed resources.
6.Analysis of Evaluation Method of Bed Utilization Efficiency in Clinical Departments based on Time Consumption Index
Yuyang ZHAO ; Jin HAO ; Chunhua WU
Chinese Hospital Management 2024;44(7):46-49
Objective To evaluate the utilization efficiency of beds in clinical departments based on time consumption index.Methods Selecting data from the 2019 annual report of medical work statistics and data from the Beijing inpatient medical service performance evaluation platform of a tertiary grade A general hospital of Traditional Chinese Medicine,the time consumption index of departments was calculated,based on which the regional average inpatient day of each department was calculated.and the number of standard bed turnover was calculated based on the target bed utilization rate.The bed utilization model was constructed based on the actual bed utilization in the department.Results Beds are open for a certain number of days,based on the target bed occupancy rate of each department and the average inpatient days within the DRG region of each department can be calculated based on the annual standard bed turnover number of the department based on the DRG disease group,on the basis of which the bed utilisation model is constructed.59.09%of the departments were efficiency departments,and the departments of press bed type,idle type and weekly transition all accounted for 13.64%respectively.Conclusion Introducing the time consumption index into the evaluation of bed utilization efficiency is in line with the actual work situation.Shortening the time consumption index is the most important thing to improve the bed utilization efficiency.The evaluation results can be used as the basis for the allocation of hospital bed resources.
7.Analysis of Evaluation Method of Bed Utilization Efficiency in Clinical Departments based on Time Consumption Index
Yuyang ZHAO ; Jin HAO ; Chunhua WU
Chinese Hospital Management 2024;44(7):46-49
Objective To evaluate the utilization efficiency of beds in clinical departments based on time consumption index.Methods Selecting data from the 2019 annual report of medical work statistics and data from the Beijing inpatient medical service performance evaluation platform of a tertiary grade A general hospital of Traditional Chinese Medicine,the time consumption index of departments was calculated,based on which the regional average inpatient day of each department was calculated.and the number of standard bed turnover was calculated based on the target bed utilization rate.The bed utilization model was constructed based on the actual bed utilization in the department.Results Beds are open for a certain number of days,based on the target bed occupancy rate of each department and the average inpatient days within the DRG region of each department can be calculated based on the annual standard bed turnover number of the department based on the DRG disease group,on the basis of which the bed utilisation model is constructed.59.09%of the departments were efficiency departments,and the departments of press bed type,idle type and weekly transition all accounted for 13.64%respectively.Conclusion Introducing the time consumption index into the evaluation of bed utilization efficiency is in line with the actual work situation.Shortening the time consumption index is the most important thing to improve the bed utilization efficiency.The evaluation results can be used as the basis for the allocation of hospital bed resources.
8.Analysis of Evaluation Method of Bed Utilization Efficiency in Clinical Departments based on Time Consumption Index
Yuyang ZHAO ; Jin HAO ; Chunhua WU
Chinese Hospital Management 2024;44(7):46-49
Objective To evaluate the utilization efficiency of beds in clinical departments based on time consumption index.Methods Selecting data from the 2019 annual report of medical work statistics and data from the Beijing inpatient medical service performance evaluation platform of a tertiary grade A general hospital of Traditional Chinese Medicine,the time consumption index of departments was calculated,based on which the regional average inpatient day of each department was calculated.and the number of standard bed turnover was calculated based on the target bed utilization rate.The bed utilization model was constructed based on the actual bed utilization in the department.Results Beds are open for a certain number of days,based on the target bed occupancy rate of each department and the average inpatient days within the DRG region of each department can be calculated based on the annual standard bed turnover number of the department based on the DRG disease group,on the basis of which the bed utilisation model is constructed.59.09%of the departments were efficiency departments,and the departments of press bed type,idle type and weekly transition all accounted for 13.64%respectively.Conclusion Introducing the time consumption index into the evaluation of bed utilization efficiency is in line with the actual work situation.Shortening the time consumption index is the most important thing to improve the bed utilization efficiency.The evaluation results can be used as the basis for the allocation of hospital bed resources.
9.Analysis of Evaluation Method of Bed Utilization Efficiency in Clinical Departments based on Time Consumption Index
Yuyang ZHAO ; Jin HAO ; Chunhua WU
Chinese Hospital Management 2024;44(7):46-49
Objective To evaluate the utilization efficiency of beds in clinical departments based on time consumption index.Methods Selecting data from the 2019 annual report of medical work statistics and data from the Beijing inpatient medical service performance evaluation platform of a tertiary grade A general hospital of Traditional Chinese Medicine,the time consumption index of departments was calculated,based on which the regional average inpatient day of each department was calculated.and the number of standard bed turnover was calculated based on the target bed utilization rate.The bed utilization model was constructed based on the actual bed utilization in the department.Results Beds are open for a certain number of days,based on the target bed occupancy rate of each department and the average inpatient days within the DRG region of each department can be calculated based on the annual standard bed turnover number of the department based on the DRG disease group,on the basis of which the bed utilisation model is constructed.59.09%of the departments were efficiency departments,and the departments of press bed type,idle type and weekly transition all accounted for 13.64%respectively.Conclusion Introducing the time consumption index into the evaluation of bed utilization efficiency is in line with the actual work situation.Shortening the time consumption index is the most important thing to improve the bed utilization efficiency.The evaluation results can be used as the basis for the allocation of hospital bed resources.
10.Screening of active components of Polygonum orientale flower against myocardial ischemia-reperfusion injury in rats under physiological and pathological states
Shasha REN ; Jianchun HU ; Yuanxian ZHANG ; Qingqing CHEN ; Chunhua LIU ; Lin ZHENG ; Zipeng GONG ; Yong HUANG ; Yang JIN ; Yueting LI
China Pharmacy 2024;35(16):1957-1963
OBJECTIVE To screen the potential active components of Polygonum orientale flower against myocardial ischemia- reperfusion injury (MIRI) in rats based on physiological and pathological states. METHODS SD rats were divided into normal control group, normal administration group, MIRI control group and MIRI administration group, with 5 rats in each group. After drug intervention or modeling and drug intervention, chromatographic separation plasma samples were collected, and chromatographic separation and mass spectrometry data collection were performed by using UPLC-Q-TOF/MS. The prototype components and metabolites were analyzed by comparing the reference substance maps, the maps of each plasma sample, and the relevant literature. At the same time, the common peaks in plasma samples of rats in normal administration group and MIRI administration group were identified. Combined with principal component analysis and orthogonal partial least square-discriminant analysis, the differential transitional components were screened out according to the value of variable importance in the projection (VIP)>1, to speculate the potential active components of P. orientale flower in rats under physiological and pathological states. The SD rats were divided into control group, MIRI group, positive control group (Compound danshen tablets 0.2 g/kg, 3 times a day), and potentially active compound groups (10 mg/kg, twice a day), with 5 rats in each group. The rats in administration groups were given relevant medicine intragastrically, for 3 consecutive days. The activity of superoxide dismutase (SOD), the leakages of lactate dehydrogenase (LDH), creatine kinase isoenzyme-MB (CK-MB) and cardiac troponin Ⅰ (cTnⅠ) in plasma were detected after the last administration. RESULTS Twenty-six main chromatographic peaks were obtained from the total ion chromatogram of the extract of P. orientale flower, and 14 of them were determined, including gallic acid, catechin, protocatechuic acid and so on. There were fifteen (including 6 absorbed prototype components and 9 metabolites) and nineteen transitional components (including 6 absorbed prototype components and 13 metabolites) in the plasma sample of normal rats and MIRI rats. Eight transitional components were detected in both normal rats and MIRI rats, and the VIP values of kaempferol glucuronidation metabolites, quercetin carbonylation metabolites and N-p-paprazine to the corresponding peak were higher than 1. Compared with MIRI group, the activities of SOD were increased significantly in the plasma of MIRI rats in each potential active compound group (P<0.01), and the leakages of LDH, CK-MB, and cTnⅠ in the plasma of MIRI rats were reduced significantly (P<0.01). CONCLUSIONS The potential anti-MIRI active components in extract of P. orientale flower are N-p-paprazine, quercetin, kaempferol and kaempferol-3-O-β-D-glucoside.

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