1.Construction and evaluation of a predictive model for pancreatic fistula after pancreaticoduodenectomy
Jian WANG ; Chengguo WANG ; Dongfeng DUAN ; Liliang HUI ; Jianguo LU
Chinese Journal of Hepatobiliary Surgery 2025;31(7):534-539
Objective:To analyze the influencing factors of pancreatic fistula after pancreaticoduodenectomy (PD), and to construct and evaluate the prediction model of postoperative pancreatic fistula (POPF).Methods:Clinical data of 255 PD patients undergoing PD at the General Surgery Department of the Second Affiliated Hospital of Air Force Military Medical University from January 2016 to January 2023 were retrospectively analyzed as the training set, including 148 males and 107 females, aged 58.0 (52.0, 64.5) years. According to the occurrence of POPF, patiennts were divided into the pancreatic fistula group ( n=65, including grade B and C POPF) and the non-pancreatic fistula group ( n=190). The age, gender, body mass index (BMI), white blood cell (WBC) count and neutrophil/lymphocyte ratio (NLR) before surgery and on the postoperative day (POD) 3, albumin, diameter of pancreatic duct, texture of the pancreas, operation time, and amylase concentration in the drainage fluid on POD3 were compared between the groups. Multivariate logistic regression analyses were conducted to identify the influencing factors of POPF. The nomogram of the pancreatic fistula prediction model was constructed using the rms package. One thousand cases were selected as the test set through the Bootstrap resampling method. And in the test set the receiver operating characteristic (ROC) curve and calibration curve were drawn to evaluate the model. Results:Logistic univariate analysis showed that there were significant differences between the two groups in terms of age, BMI, WBC count and NLR (preoperative and on POD3), the concentration of amylase in drainage fluid on POD3, pancreatic duct diameter, and operation time (all P<0.05). The results of logistic multivariate regression analysis showed age ( OR=1.050, 95% CI: 1.011-1.091), BMI ( OR=1.127, 95% CI: 1.005-1.264) and the amylase concentration of the drainage fluid >367.5 U/L on POD3 ( OR=3.688, 95% CI: 1.849-7.354) were the influencing factors of POPF ( P<0.05). Based on the three influencing factors screened out by multivariate analysis, a histogram for the prediction of pancreatic fistula was constructed using the rms package. The area under the ROC curve of the nomogram for predicting the occurrence of pancreatic fistula after PD was 0.744 (95%CI: 0.679-0.809), with a sensitivity of 69.2% and a specificity of 70.5%. The calibration curve shows that the model's prediction is consistent with the actual situation in the overall trend, indicating a relatively high degree of calibration. Conclusion:Age, BMI and amylase concentration of drainage fluid >367.5 U/L on POD3 are the influencing factors for pancreatic fistula after PD. The nomogram model for predicting pancreatic fistula constructed based on this has good predictive and application value.
2.Construction and evaluation of a predictive model for pancreatic fistula after pancreaticoduodenectomy
Jian WANG ; Chengguo WANG ; Dongfeng DUAN ; Liliang HUI ; Jianguo LU
Chinese Journal of Hepatobiliary Surgery 2025;31(7):534-539
Objective:To analyze the influencing factors of pancreatic fistula after pancreaticoduodenectomy (PD), and to construct and evaluate the prediction model of postoperative pancreatic fistula (POPF).Methods:Clinical data of 255 PD patients undergoing PD at the General Surgery Department of the Second Affiliated Hospital of Air Force Military Medical University from January 2016 to January 2023 were retrospectively analyzed as the training set, including 148 males and 107 females, aged 58.0 (52.0, 64.5) years. According to the occurrence of POPF, patiennts were divided into the pancreatic fistula group ( n=65, including grade B and C POPF) and the non-pancreatic fistula group ( n=190). The age, gender, body mass index (BMI), white blood cell (WBC) count and neutrophil/lymphocyte ratio (NLR) before surgery and on the postoperative day (POD) 3, albumin, diameter of pancreatic duct, texture of the pancreas, operation time, and amylase concentration in the drainage fluid on POD3 were compared between the groups. Multivariate logistic regression analyses were conducted to identify the influencing factors of POPF. The nomogram of the pancreatic fistula prediction model was constructed using the rms package. One thousand cases were selected as the test set through the Bootstrap resampling method. And in the test set the receiver operating characteristic (ROC) curve and calibration curve were drawn to evaluate the model. Results:Logistic univariate analysis showed that there were significant differences between the two groups in terms of age, BMI, WBC count and NLR (preoperative and on POD3), the concentration of amylase in drainage fluid on POD3, pancreatic duct diameter, and operation time (all P<0.05). The results of logistic multivariate regression analysis showed age ( OR=1.050, 95% CI: 1.011-1.091), BMI ( OR=1.127, 95% CI: 1.005-1.264) and the amylase concentration of the drainage fluid >367.5 U/L on POD3 ( OR=3.688, 95% CI: 1.849-7.354) were the influencing factors of POPF ( P<0.05). Based on the three influencing factors screened out by multivariate analysis, a histogram for the prediction of pancreatic fistula was constructed using the rms package. The area under the ROC curve of the nomogram for predicting the occurrence of pancreatic fistula after PD was 0.744 (95%CI: 0.679-0.809), with a sensitivity of 69.2% and a specificity of 70.5%. The calibration curve shows that the model's prediction is consistent with the actual situation in the overall trend, indicating a relatively high degree of calibration. Conclusion:Age, BMI and amylase concentration of drainage fluid >367.5 U/L on POD3 are the influencing factors for pancreatic fistula after PD. The nomogram model for predicting pancreatic fistula constructed based on this has good predictive and application value.
3.Investigation of coordinated development between blood banks and apheresis plasma collection banks
Qun LIU ; Dunzhu GONGJUE ; Qian ZHANG ; Hui YE ; Hua SHEN ; Mingming QIAO ; Linwei LI ; Xingzhe ZHANG ; Xiangwen CHEN ; Liliang CHEN ; Yang LIU ; Yunlong ZHUANG
Chinese Journal of Blood Transfusion 2024;37(8):927-932
Objective To explore the factors that affect the coordinated development of blood banks and apheresis plas-ma collection banks(hereinafter referred to as plasma banks),and explore feasible measures for the coordinated develop-ment of blood banks and plasma banks.Methods The blood information management system and blood source information management system were used to retrieve related data of blood and plasma donation from 9 cities in Shandong province from 2017 to 2021.The number of blood donors and plasma donors and the intersection of them were analyzed.The data analysis was performed using chi-square test,and a questionnaire survey was conducted to investigate the policies and information status,as well as expectations for coordinated development for blood and plasma donation.Results From 2017 to 2021,the total number of blood donors in 9 cities was higher than that of plasma donors,both have been increasing year by year,and the increase in plasma donors was significantly higher than that of blood donors(131.78%vs 23.90%,P<0.05).The inter-section proportion of blood and plasma donors had increased from 0.45%in 2017 to 1.04%in 2021,with an increase of 131.11%.Among the administrative regions where the participating blood and plasma banks located,94.2%have not re-leased relevant policy to promote the coordinated development of blood and plasma donation.The majority(63%)expected blood banks and plasma banks to be set at a distance more than 50 km apart.The top four functional requirements for the in-terconnection between blood banks and plasma banks management information system were blood test results(94.61%),ID number(87.54%),blood and plasma donation records(85.51%)and health consultation/examination results(82.15%).The top four elements of coordinated development between blood and plasma banks were policy support(96.25%),informa-tion networking(92.36%),top-level design(87.44%)and cultural construction(86.58%).Conclusion The number of donors who donate both blood(mainly whole blood)and plasma has been increasing year by year,which deserves our close attention.To achieve the coordinated development of blood donation and plasma donation,policy support is the most crucial and fundamental means.Establishment of a standard system and the share of blood and plasma donation information is neces-sary for blood informatization construction.It was critical to promote the coordinated development of blood and plasma dona-tion and ensure blood safety with improving legislation,formulating policies for coordinated development,strengthening top-level design,standardizing the publicity of blood and plasma donation and establishing the idea that blood and plasma dona-tion are equally honorable.

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