1.Long-term prognosis effects of single and staged percutaneous coronary intervention in patients with multi-vessel coronary artery disease
Yuanliang MA ; Na XU ; Chunlin YIN ; Yi YAO ; Xiaofang TANG ; Sida JIA ; Ce ZHANG ; Ying SONG ; Jingjing XU ; Xueyan ZHAO ; Yin ZHANG ; Jue CHEN ; Yuejin YANG ; Shubin QIAO ; Runlin GAO ; Bo XU ; Jinqing YUAN
Chinese Journal of Postgraduates of Medicine 2022;45(1):6-13
		                        		
		                        			
		                        			Objective:To compare the influence of single and staged percutaneous coronary intervention (PCI) on long-term prognosis in patients with multi-vessel coronary artery disease.Methods:Using prospective research methods, 1 832 patients with multi-vessel coronary artery disease from January to December 2013 in Fuwai Hospital, Chinese Academy of Medical Sciences were selected. According to the time of PCI, the patients were divided into single PCI group (1 218 cases) and staged PCI group (614 cases). The patients were followed up for 2 years, the primary endpoint was major cardiovascular and cerebrovascular event (MACCE), including target vessel-related myocardial infarction (TV-MI), target vessel-related revascularization (TVR), cardiogenic death and stroke, and the secondary endpoint was stent thrombosis. The propensity score matching (PSM) was applied to balance the discrepancies between 2 groups, and the baseline and follow-up data were compared. The Kaplan-Meier survival curves were drawn to evaluate the survival rates events; multifactor Cox proportional risk regression was used to analyze whether staged PCI was an independent risk factor for the endpoint events.Results:The in-hospital stay, duration of procedure and synergy between percutaneous coronary intervention with taxus and cardiac surgery (SYNTAX) score in single PCI group were significantly lower than those in staged PCI group: (5.54±3.09) d vs. (9.50±4.06) d, (43.12±28.55) min vs. (79.54±44.35) min, (14.04±7.63) scores vs. (18.51±7.79) scores, and there were statistical differences ( P<0.01); there were no statistical difference in complete revascularization rate and SYNTAX score after PCI between 2 groups ( P>0.05). Based on 2-year follow-up, the incidences of TV-MI and stent thrombosis in staged PCI group were significantly higher than those in single PCI group: 2.1% (13/614) vs. 0.5% (6/1 218) and 2.0% (12/614) vs. 0.4% (5/1 218), and there were statistical differences ( P<0.01). Kaplan-Meier survival curves analysis results showed that the event-free survival rates of TV-MI and stent thrombosis in single PCI group were better than those in staged PCI group (99.5% vs. 97.9% and 99.6% vs. 98.0%, P<0.01). Multifactor Cox proportional risk regression analysis results showed that staged PCI was an independent risk factor for stent thrombosis ( HR = 3.91, 95% CI 1.25 to 12.18, P = 0.019). After PSM, the incidences of TV-MI and stent thrombosis in staged PCI group were significantly higher than those in single PCI group: 2.1% (13/614) vs. 0.7% (4/614) and 2.0% (12/614) vs. 0.5% (3/614), and there were statistical differences ( P<0.05); Kaplan-Meier survival curve analysis results showed that the event-free survival rates of TV-MI and stent thrombosis in single PCI group were significantly higher than those in staged PCI group: (99.3% vs. 97.9% and 99.5% vs. 98.0%, P<0.05); multifactor Cox proportional risk regression analysis results showed that staged PCI was not an independent risk factor of stent thrombosis ( HR = 2.29, 95% CI 0.58 to 9.00, P = 0.234). Both before and after PSM, there were no evidences for interaction between the type of angina pectoris and staged PCI ( P>0.05). Conclusions:Although a seemingly increase exists in the incidence of TV-MI and stent thrombosis in the staged PCI group, staged PCI is an independent risk factor neither for MACCE and its components, nor for stent thrombosis. In addition single PCI reduces the in-hospital days and duration of PCI procedure, which may be a relatively reasonable approach to clinical practice.
		                        		
		                        		
		                        		
		                        	
2.Research progress on the occupational health and personal protection of emergency responders
Yuqian WANG ; Shubin JIN ; Shichuan TANG
Chinese Journal of Industrial Hygiene and Occupational Diseases 2022;40(7):539-542
		                        		
		                        			
		                        			To meet the requirement from the economy and society, China's emergency rescue has been developing towards specialization and professionalization. The working environment for emergency responders is special accompanying with tremendous challenges and uncertainties. To promote the research on occupational health and personal protection is an important guarantee for the workers in China to realize the goal of "decent work". This paper reviews the hazards that affect the occupational health of emergency rescue workers, the research progress of adverse outcomes caused from exposure to these hazards, and the related development issues of personal protection. In order to ensure the safety and health of emergency rescue workers, the direction of further research on occupational health of emergency rescue workers is put forward.
		                        		
		                        		
		                        		
		                        	
3.Research progress on the occupational health and personal protection of emergency responders
Yuqian WANG ; Shubin JIN ; Shichuan TANG
Chinese Journal of Industrial Hygiene and Occupational Diseases 2022;40(7):539-542
		                        		
		                        			
		                        			To meet the requirement from the economy and society, China's emergency rescue has been developing towards specialization and professionalization. The working environment for emergency responders is special accompanying with tremendous challenges and uncertainties. To promote the research on occupational health and personal protection is an important guarantee for the workers in China to realize the goal of "decent work". This paper reviews the hazards that affect the occupational health of emergency rescue workers, the research progress of adverse outcomes caused from exposure to these hazards, and the related development issues of personal protection. In order to ensure the safety and health of emergency rescue workers, the direction of further research on occupational health of emergency rescue workers is put forward.
		                        		
		                        		
		                        		
		                        	
4.A prognostic model of intrahepatic cholangiocarcinoma after curative intent resection based on Bayesian network
Chen CHEN ; Yuhan WU ; Jingwei ZHANG ; Yinghe QIU ; Hong WU ; Qi LI ; Tianqiang SONG ; Yu HE ; Xianhan MAO ; Wenlong ZHAI ; Zhangjun CHENG ; Jingdong LI ; Shubin SI ; Zhiqiang CAI ; Zhimin GENG ; Zhaohui TANG
Chinese Journal of Surgery 2021;59(4):265-271
		                        		
		                        			
		                        			Objective:To examine a survival prognostic model applicable for patients with intrahepatic cholangiocarcinoma (ICC) based on Bayesian network.Methods:The clinical and pathological data of ICC patients who underwent curative intent resection in ten Chinese hepatobiliary surgery centers from January 2010 to December 2018 were collected.A total of 516 patients were included in the study. There were 266 males and 250 females.The median age( M( Q R)) was 58(14) years.One hundred and sixteen cases (22.5%) with intrahepatic bile duct stones,and 143 cases (27.7%) with chronic viral hepatitis.The Kaplan-Meier method was used for survival analysis.The univariate and multivariate analysis were implemented respectively using the Log-rank test and Cox proportional hazard model.One-year survival prediction models based on tree augmented naive Bayesian (TAN) and na?ve Bayesian algorithm were established by Bayesialab software according to different variables,a nomogram model was also developed based on the independent predictors.The receiver operating characteristic curve and the area under curve (AUC) were used to evaluate the prediction effect of the models. Results:The overall median survival time was 25.0 months,and the 1-,3-and 5-year cumulative survival rates was 76.6%,37.9%,and 21.0%,respectively.Univariate analysis showed that gender,preoperative jaundice,pathological differentiation,vascular invasion,microvascular invasion,liver capsule invasion,T staging,N staging,margin,intrahepatic bile duct stones,carcinoembryonic antigen,and CA19-9 affected the prognosis(χ 2=5.858-54.974, all P<0.05).The Cox multivariate model showed that gender,pathological differentiation,liver capsule invasion, T stage,N stage,intrahepatic bile duct stones,and CA19-9 were the independent predictive factors(all P<0.05). The AUC of the TAN model based on all 19 clinicopathological factors was 74.5%,and the AUC of the TAN model based on the 12 prognostic factors derived from univariate analysis was 74.0%,the AUC of the na?ve Bayesian model based on 7 independent prognostic risk factors was 79.5%,the AUC and C-index of the nomogram survival prediction model based on 7 independent prognostic risk factors were 78.8% and 0.73,respectively. Conclusion:The Bayesian network model may provide a relatively accurate prognostic prediction for ICC patients after curative intent resection and performed superior to the nomogram model.
		                        		
		                        		
		                        		
		                        	
5.A prognostic model of intrahepatic cholangiocarcinoma after curative intent resection based on Bayesian network
Chen CHEN ; Yuhan WU ; Jingwei ZHANG ; Yinghe QIU ; Hong WU ; Qi LI ; Tianqiang SONG ; Yu HE ; Xianhan MAO ; Wenlong ZHAI ; Zhangjun CHENG ; Jingdong LI ; Shubin SI ; Zhiqiang CAI ; Zhimin GENG ; Zhaohui TANG
Chinese Journal of Surgery 2021;59(4):265-271
		                        		
		                        			
		                        			Objective:To examine a survival prognostic model applicable for patients with intrahepatic cholangiocarcinoma (ICC) based on Bayesian network.Methods:The clinical and pathological data of ICC patients who underwent curative intent resection in ten Chinese hepatobiliary surgery centers from January 2010 to December 2018 were collected.A total of 516 patients were included in the study. There were 266 males and 250 females.The median age( M( Q R)) was 58(14) years.One hundred and sixteen cases (22.5%) with intrahepatic bile duct stones,and 143 cases (27.7%) with chronic viral hepatitis.The Kaplan-Meier method was used for survival analysis.The univariate and multivariate analysis were implemented respectively using the Log-rank test and Cox proportional hazard model.One-year survival prediction models based on tree augmented naive Bayesian (TAN) and na?ve Bayesian algorithm were established by Bayesialab software according to different variables,a nomogram model was also developed based on the independent predictors.The receiver operating characteristic curve and the area under curve (AUC) were used to evaluate the prediction effect of the models. Results:The overall median survival time was 25.0 months,and the 1-,3-and 5-year cumulative survival rates was 76.6%,37.9%,and 21.0%,respectively.Univariate analysis showed that gender,preoperative jaundice,pathological differentiation,vascular invasion,microvascular invasion,liver capsule invasion,T staging,N staging,margin,intrahepatic bile duct stones,carcinoembryonic antigen,and CA19-9 affected the prognosis(χ 2=5.858-54.974, all P<0.05).The Cox multivariate model showed that gender,pathological differentiation,liver capsule invasion, T stage,N stage,intrahepatic bile duct stones,and CA19-9 were the independent predictive factors(all P<0.05). The AUC of the TAN model based on all 19 clinicopathological factors was 74.5%,and the AUC of the TAN model based on the 12 prognostic factors derived from univariate analysis was 74.0%,the AUC of the na?ve Bayesian model based on 7 independent prognostic risk factors was 79.5%,the AUC and C-index of the nomogram survival prediction model based on 7 independent prognostic risk factors were 78.8% and 0.73,respectively. Conclusion:The Bayesian network model may provide a relatively accurate prognostic prediction for ICC patients after curative intent resection and performed superior to the nomogram model.
		                        		
		                        		
		                        		
		                        	
6.Effects of sandplay combined with sensory integration therapy on cognitive function in children with attention deficit hyperactivity disorder
Xueqin LI ; Yanzhong KANG ; Yan HAN ; Ruining WANG ; Shubin TANG
Journal of Chinese Physician 2020;22(8):1199-1203
		                        		
		                        			
		                        			Objective:To explore the effects of sandplay combined with sensory integration therapy on cognitive function in children with attention deficit hyperactivity disorder (ADHD).Methods:60 children with ADHD diagnosed in Baoji Maternal and Child Health Hospital from June 2018 to June 2019 were randomly divided into study group and control group.The children in the control group were treated by sandplay, while the patients in the study group were treated by sandplay combined with sensory integration.Results:There was no significant difference in Parent Symptom Questionnaire (PSQ) score, Combined Raven Test (CRT) results and attention test results between the two groups before treatment ( P>0.05), and there was no significant difference in PSQ score of control group after treatment ( P>0.05); The behavioral problems (0.92±0.23), anxiety (0.51±0.26), impulse/hyperactivity (1.06±0.31) and hyperactivity index (0.88±0.14) in the study group were significantly lower than those in the control group [behavioral problems (1.12±0.21), anxiety (0.79±0.45), impulse/hyperactivity (1.42±0.34) and hyperactivity index (1.16±0.17) ( P<0.05)]. There was no significant difference in the scores of mental disorders and learning problems between the two groups [(0.42±0.20), (1.28±0.44) vs (0.52±0.28), (1.37±0.48)] ( P>0.05). The results of CRT in the study group were (6.6±0.3, 7.3±0.2, 9.1±0.1, 5.5±0.2, 2.7±0.1, 117.3±4.4), which were higher than those in the control group (6.2± 0.1, 6.7±0.1, 8.7±0.1, 5.0±0.1, 2.2±0.1, 110.0±3.8) ( P<0.05). The slip time (52.4±0.1), error number (55.9±0.2) and missed report number (60.2 ±0.1) of the study group were significantly lower than those of the control group [slip time (56.1±0.2), error number (60.3±0.1) and missed report number (70.8±0.3)] ( P<0.05). Conclusions:Combination of sandplay and sensory integration can significantly improve the cognitive and behavioral abilities of children with attention deficit hyperactivity disorder, and improve the balance function of children, which is conducive to clinical application.
		                        		
		                        		
		                        		
		                        	
7.Analysis of the relationship between the number of lymph nodes examined and prognosis for curatively resected gallbladder carcinoma: a multi-institutional study
Rui ZHANG ; Yuhan WU ; Dong ZHANG ; Yongjie ZHANG ; Yinghe QIU ; Ning YANG ; Tianqiang SONG ; Jianying LOU ; Jiangtao LI ; Xianhai MAO ; Shengping LI ; Shubin SI ; Zhiqiang CAI ; Chen CHEN ; Zhimin GENG ; Zhaohui TANG
Chinese Journal of Surgery 2020;58(4):303-309
		                        		
		                        			
		                        			Objective:To examine the role of the number of lymph nodes examined(NLNE) on the prognosis of patients with curatively resected gallbladder carcinoma(GBC).Methods:The clinicopathological data and prognosis of 401 patients with GBC who underwent radical surgery from six institutions of China from January 2013 to December 2017 were analyzed retrospectively. There were 153 males(38.2%) and 248 females(61.8%), with age of (62.0±10.5) years (range: 30-88 years). Fifty-three patients(22.2%) were accompanied by jaundice. All patients underwent radical resection+regional lymphadenectomy.R0 or R1 resection was confirmed by postoperative pathological examination.The different cut-off values of NLNE were determined by the X-tile software, the optimal cut-off values were identified by analyzing the relationship between different cut-off values of NLNE with survival rate. Kaplan-Meier method was used for survival analysis. Univariate and multivariate analysis were implemented respectively using the Log-rank test and Cox proportional hazard model.Results:Among the 401 patients enrolled, 135 cases (33.6%) had lymphatic metastasis, of which 98 cases were in N1 stage(24.4%) and 37 cases were in N2 stage(9.2%).A total of 2 794 NLNE were retrieved, with a median count of 6 (5).The median positive lymph nodes count was 0 (1), and the median positive lymph nodes ratio was 0 (IQR, 0-0.2). Since the 12 and 15 were determined as the cut-off values by X-tile, all patients were divided into three groups of 1-11, 12-15 and ≥16.The 3-year survival rate of the three groups was 45.2%, 74.5%, 12.0% respectively, with statistically significant difference between three groups (χ 2=10.94, P<0.01). The results of multivariate analysis showed that NLNE was an independent prognostic factor for overall survival ( P<0.05). Further analysis was performed specifically for subgroup of T stages. For T1b patients, the prognosis of the NLNE with 1-7 group was significantly better than that of the ≥8 group(χ 2=4.610, P<0.05). For T2 patients, the prognosis of the TLNE ≥7 group was significantly better than that of 1 -6 group (χ 2=4.287, P<0.05). For T3 and T4 patients, the prognosis of the TLNE with 12 - 15 group was significantly better than that of 1 -11 group (χ 2=5.007, P<0.01) and ≥16 group (χ 2=10.158, P<0.01). Conclusions:The NLNE is an independent factor affecting the prognosis of patients with GBC.For patients with stage T1b,8 lymph nodes should be retrieved; for patients with stage T2,extensive dissection of more than 6 lymph nodes can significantly improve the prognosis.For advanced patients (stages T3 and T4), extensive dissection with 12-15 lymph nodes is recommended. However, it fails to get more survival benefits by dissecting more than 16 lymph nodes.
		                        		
		                        		
		                        		
		                        	
8.The progress on survival prediction model of gallbladder carcinoma
Zhimin GENG ; Qi LI ; Zhen ZHANG ; Shubin SI ; Zhiqiang CAI ; Yaling ZHAO ; Zhaohui TANG
Chinese Journal of Surgery 2020;58(8):649-652
		                        		
		                        			
		                        			Gallbladder carcinoma (GBC) is the most common malignancy of the biliary tract, radical resection is the only effective treatment for GBC at present. However, the postoperative effect is still poor. Therefore, identifying the key prognostic factors and establishing an individual and accurate survival prediction model for GBC are critical to prognosis assessment, treatment options and clinical decision support in patients with GBC. The prediction value of current commonly used TNM staging system is limited. Cox regression model is the most commonly used classical survival analysis method, but it is difficult to establish the association between prognostic variables. Nomogram and machine learning techniques including Bayesian network have been used to establish survival prediction model of GBC in recent years, which representing a certain degree of advancement, however, the model precision and clinical application still need to be further verified. The establishment of more accurate survival prediction models for GBC based on machine learning algorithm from Chinese multicenter large sample database to guide the clinical decision-making is the main research direction in the future.
		                        		
		                        		
		                        		
		                        	
9.Analysis of the relationship between the number of lymph nodes examined and prognosis for curatively resected gallbladder carcinoma: a multi-institutional study
Rui ZHANG ; Yuhan WU ; Dong ZHANG ; Yongjie ZHANG ; Yinghe QIU ; Ning YANG ; Tianqiang SONG ; Jianying LOU ; Jiangtao LI ; Xianhai MAO ; Shengping LI ; Shubin SI ; Zhiqiang CAI ; Chen CHEN ; Zhimin GENG ; Zhaohui TANG
Chinese Journal of Surgery 2020;58(4):303-309
		                        		
		                        			
		                        			Objective:To examine the role of the number of lymph nodes examined(NLNE) on the prognosis of patients with curatively resected gallbladder carcinoma(GBC).Methods:The clinicopathological data and prognosis of 401 patients with GBC who underwent radical surgery from six institutions of China from January 2013 to December 2017 were analyzed retrospectively. There were 153 males(38.2%) and 248 females(61.8%), with age of (62.0±10.5) years (range: 30-88 years). Fifty-three patients(22.2%) were accompanied by jaundice. All patients underwent radical resection+regional lymphadenectomy.R0 or R1 resection was confirmed by postoperative pathological examination.The different cut-off values of NLNE were determined by the X-tile software, the optimal cut-off values were identified by analyzing the relationship between different cut-off values of NLNE with survival rate. Kaplan-Meier method was used for survival analysis. Univariate and multivariate analysis were implemented respectively using the Log-rank test and Cox proportional hazard model.Results:Among the 401 patients enrolled, 135 cases (33.6%) had lymphatic metastasis, of which 98 cases were in N1 stage(24.4%) and 37 cases were in N2 stage(9.2%).A total of 2 794 NLNE were retrieved, with a median count of 6 (5).The median positive lymph nodes count was 0 (1), and the median positive lymph nodes ratio was 0 (IQR, 0-0.2). Since the 12 and 15 were determined as the cut-off values by X-tile, all patients were divided into three groups of 1-11, 12-15 and ≥16.The 3-year survival rate of the three groups was 45.2%, 74.5%, 12.0% respectively, with statistically significant difference between three groups (χ 2=10.94, P<0.01). The results of multivariate analysis showed that NLNE was an independent prognostic factor for overall survival ( P<0.05). Further analysis was performed specifically for subgroup of T stages. For T1b patients, the prognosis of the NLNE with 1-7 group was significantly better than that of the ≥8 group(χ 2=4.610, P<0.05). For T2 patients, the prognosis of the TLNE ≥7 group was significantly better than that of 1 -6 group (χ 2=4.287, P<0.05). For T3 and T4 patients, the prognosis of the TLNE with 12 - 15 group was significantly better than that of 1 -11 group (χ 2=5.007, P<0.01) and ≥16 group (χ 2=10.158, P<0.01). Conclusions:The NLNE is an independent factor affecting the prognosis of patients with GBC.For patients with stage T1b,8 lymph nodes should be retrieved; for patients with stage T2,extensive dissection of more than 6 lymph nodes can significantly improve the prognosis.For advanced patients (stages T3 and T4), extensive dissection with 12-15 lymph nodes is recommended. However, it fails to get more survival benefits by dissecting more than 16 lymph nodes.
		                        		
		                        		
		                        		
		                        	
10.The progress on survival prediction model of gallbladder carcinoma
Zhimin GENG ; Qi LI ; Zhen ZHANG ; Shubin SI ; Zhiqiang CAI ; Yaling ZHAO ; Zhaohui TANG
Chinese Journal of Surgery 2020;58(8):649-652
		                        		
		                        			
		                        			Gallbladder carcinoma (GBC) is the most common malignancy of the biliary tract, radical resection is the only effective treatment for GBC at present. However, the postoperative effect is still poor. Therefore, identifying the key prognostic factors and establishing an individual and accurate survival prediction model for GBC are critical to prognosis assessment, treatment options and clinical decision support in patients with GBC. The prediction value of current commonly used TNM staging system is limited. Cox regression model is the most commonly used classical survival analysis method, but it is difficult to establish the association between prognostic variables. Nomogram and machine learning techniques including Bayesian network have been used to establish survival prediction model of GBC in recent years, which representing a certain degree of advancement, however, the model precision and clinical application still need to be further verified. The establishment of more accurate survival prediction models for GBC based on machine learning algorithm from Chinese multicenter large sample database to guide the clinical decision-making is the main research direction in the future.
		                        		
		                        		
		                        		
		                        	
            
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