Objective:To analyze the risk factors for clinically relevant delayed gastric emptying (CR-DGE) following laparoscopic pancreaticoduodenectomy (LPD) and to develop a model to predict the postoperative CR-DGE after LPD using the machine-learning approach with multi-model comparison.Methods:Clinical data of 278 patients with tumors located in the pancreatic head and periampullary region undergoing LPD at People’s Hospital of Zhengzhou University from January 2019 to December 2023 were retrospectively analyzed, including 167 males and 111 females, aged 59 (53, 66) years. According to the occurrence of DGE, patients were divided into the CR-DGE group ( n=94) and the non-CR-DGE group ( n=184). Main clinical characteristics were compared between the groups, including pancreatic duct diameter, intraoperative blood loss and operative time. The perioperative indicators were selected using the least absolute shrinkage and selection operator (LASSO) algorithm. Following variable selection, 278 patients were allocated into a training set ( n=222) and a validation set ( n=56) in an 8∶2 ratio. Eight machine learning models were selected to model the training set: random forest, adaptive boosting, light gradient boosting, multilayer perceptron, support vector machine, K-nearest neighbor algorithm, decision tree and complementary set plain bayes. The area under the curve (AUC) of receiver operating characteristic curve of the validation set was utilized to identify the optimal model. The predictive performance of the optimal model was evaluated using calibration plots and decision curve analysis (DCA). The contribution of each feature to the prediction is assessed using Shapley additive explanation (SHAP). Results:Univariate analysis showed statistically significant differences between the CR-DGE and non-CR-DGE groups in terms of age [66(62, 69) years vs. 56(51, 60), years], diabetes [42.6%(40/94) vs. 11.4%(21/184)], level of fibrinogen [3.43(2.74, 4.18) g/L vs. 3.84(3.19, 4.68) g/L], pancreatic duct diameter [2.00(1.50, 2.70) mm vs. 3.40(1.60, 5.00) mm], intraoperative blood loss [300(200, 600) ml vs. 200(150, 300) ml], operative time [472(430, 502) min vs. 430(365, 475) min], clinically relevant postoperative pancreatic fistula [34.0%(32/94) vs. 3.8%(7/184)], abdominal fluid accumulation [46.8%(44/94) vs. 12.5%(23/184)], postoperative hemorrhage [20.2%(19/94) vs. 3.3%(6/184)], abdominal infection [28.7%(27/94) vs. 11.4% (21/184)] and duration of postoperative gastrointestinal decompression [4.00 (2.00, 6.00) d vs. 3.00 (2.00, 5.00) d] (all P<0.05). The eleven variables selected via LASSO were incorporated into each of the eight machine learning models. Results demonstrated that the random forest model achieved the highest performance in the validation set, with an AUC of 0.894 (95% CI: 0.800-0.985), accuracy of 0.820 and sensitivity of 0.606. Calibration plots and DCA confirmed the robustness of the random forest model. SHAP analysis indicated that age, pancreatic duct diameter and preoperative aspartate aminotransferase were important predictors in the random forest model. Conclusion:The random forest model developed in this study demonstrated a good predictive performance for CR-DGE after LPD and may assist in the early identification of high-risk patients in clinical practice.

Objective:To analyze the application value of three-dimensional visualization combined with indocyanine green fluorescence staining in laparoscopic resection of patients with complex liver cancer.Methods:The data of patients with complex liver cancer (liver cancer located in liver segments Ⅶ, Ⅷ, Ⅳa, Ⅴ and caudate lobe) who underwent laparoscopic anatomical liver resection in Zhengzhou University People's Hospital from August 2018 to August 2023 were retrospectively analyzed. A total of 334 patients were enrolled, including 249 males and 85 females, with the age of (57.0±10.6) years. Among the 334 patients, patients who underwent laparoscopic liver resection using three-dimensional visualization combined with indocyanine green fluorescence staining were included in the combined group ( n=128), and the other patients who underwent traditional laparoscopic liver resection were included in the traditional group ( n=206). Propensity score was used to match the preoperative indicators and postoperative pathology between the two groups. The two groups were compared in terms of gender, age, maximum diameter of tumor, alpha-fetoprotein, number of tumors, tumor location, American Society of Anesthesiologists (ASA) grade, operation time, portal occlusion time, intraoperative blood loss, surgical margin and postoperative aspartate transaminase (ALT), alanine transaminase (AST), albumin, total bilirubin, and severe postoperative complications (Clavien-Dindo grade≥grade Ⅲ). The Kaplan-Meier method was used to analyze the prognosis, and the log-rank test was used to compare the survival rate. Results:After propensity score matching, 120 cases were included in the combined group and the traditional group, respectively. There were no significant differences in gender, age, maximum diameter of tumor, alpha-fetoprotein, number of tumors, tumor location, and ASA grade between the two groups (all P>0.05). The intraoperative blood loss in the combined group was 200.0 (150.0, 300.0) ml, and the positive surgical margin rate was 6.7% (8/120), which were lower than 300.0 (150.0, 500.0) ml and 15.8% (19/120) in the traditional group, with statistically significant differences ( Z=-2.43, P=0.015, χ2=5.05, P=0.025). There were no statistically significant differences in the operation time, portal occlusion time, and postoperative ALT, AST, albumin, and total bilirubin between the two groups (all P>0.05). Eight cases (6.7%) in the combined group and 11 cases (9.2%) in the traditional group had severe complications after surgery, and all were discharged after treatment. The 1-, 3-, and 5-year recurrence-free survival rates of the combined group were 83.3%, 61.7%, and 58.3% respectively, while that of the traditional group were 71.7%, 52.5%, and 49.2%, respectively, with significant difference ( χ2=4.57, P=0.031). There was no significant difference in the cumulative survival rate between the combined group and the traditional group ( χ2=0.66, P=0.417). Conclusion:Compared with laparoscopic liver resection, laparoscopic liver resection for patients with complex liver cancer using three-dimensional visualization technology combined with indocyanine green fluorescence staining technology can reduce intraoperative blood loss, positive margin rate, and postoperative recurrence.

Objective:To analyze the application value of three-dimensional visualization combined with indocyanine green fluorescence staining in laparoscopic resection of patients with complex liver cancer.Methods:The data of patients with complex liver cancer (liver cancer located in liver segments Ⅶ, Ⅷ, Ⅳa, Ⅴ and caudate lobe) who underwent laparoscopic anatomical liver resection in Zhengzhou University People's Hospital from August 2018 to August 2023 were retrospectively analyzed. A total of 334 patients were enrolled, including 249 males and 85 females, with the age of (57.0±10.6) years. Among the 334 patients, patients who underwent laparoscopic liver resection using three-dimensional visualization combined with indocyanine green fluorescence staining were included in the combined group ( n=128), and the other patients who underwent traditional laparoscopic liver resection were included in the traditional group ( n=206). Propensity score was used to match the preoperative indicators and postoperative pathology between the two groups. The two groups were compared in terms of gender, age, maximum diameter of tumor, alpha-fetoprotein, number of tumors, tumor location, American Society of Anesthesiologists (ASA) grade, operation time, portal occlusion time, intraoperative blood loss, surgical margin and postoperative aspartate transaminase (ALT), alanine transaminase (AST), albumin, total bilirubin, and severe postoperative complications (Clavien-Dindo grade≥grade Ⅲ). The Kaplan-Meier method was used to analyze the prognosis, and the log-rank test was used to compare the survival rate. Results:After propensity score matching, 120 cases were included in the combined group and the traditional group, respectively. There were no significant differences in gender, age, maximum diameter of tumor, alpha-fetoprotein, number of tumors, tumor location, and ASA grade between the two groups (all P>0.05). The intraoperative blood loss in the combined group was 200.0 (150.0, 300.0) ml, and the positive surgical margin rate was 6.7% (8/120), which were lower than 300.0 (150.0, 500.0) ml and 15.8% (19/120) in the traditional group, with statistically significant differences ( Z=-2.43, P=0.015, χ2=5.05, P=0.025). There were no statistically significant differences in the operation time, portal occlusion time, and postoperative ALT, AST, albumin, and total bilirubin between the two groups (all P>0.05). Eight cases (6.7%) in the combined group and 11 cases (9.2%) in the traditional group had severe complications after surgery, and all were discharged after treatment. The 1-, 3-, and 5-year recurrence-free survival rates of the combined group were 83.3%, 61.7%, and 58.3% respectively, while that of the traditional group were 71.7%, 52.5%, and 49.2%, respectively, with significant difference ( χ2=4.57, P=0.031). There was no significant difference in the cumulative survival rate between the combined group and the traditional group ( χ2=0.66, P=0.417). Conclusion:Compared with laparoscopic liver resection, laparoscopic liver resection for patients with complex liver cancer using three-dimensional visualization technology combined with indocyanine green fluorescence staining technology can reduce intraoperative blood loss, positive margin rate, and postoperative recurrence.

Objective:To analyze the risk factors for clinically relevant delayed gastric emptying (CR-DGE) following laparoscopic pancreaticoduodenectomy (LPD) and to develop a model to predict the postoperative CR-DGE after LPD using the machine-learning approach with multi-model comparison.Methods:Clinical data of 278 patients with tumors located in the pancreatic head and periampullary region undergoing LPD at People’s Hospital of Zhengzhou University from January 2019 to December 2023 were retrospectively analyzed, including 167 males and 111 females, aged 59 (53, 66) years. According to the occurrence of DGE, patients were divided into the CR-DGE group ( n=94) and the non-CR-DGE group ( n=184). Main clinical characteristics were compared between the groups, including pancreatic duct diameter, intraoperative blood loss and operative time. The perioperative indicators were selected using the least absolute shrinkage and selection operator (LASSO) algorithm. Following variable selection, 278 patients were allocated into a training set ( n=222) and a validation set ( n=56) in an 8∶2 ratio. Eight machine learning models were selected to model the training set: random forest, adaptive boosting, light gradient boosting, multilayer perceptron, support vector machine, K-nearest neighbor algorithm, decision tree and complementary set plain bayes. The area under the curve (AUC) of receiver operating characteristic curve of the validation set was utilized to identify the optimal model. The predictive performance of the optimal model was evaluated using calibration plots and decision curve analysis (DCA). The contribution of each feature to the prediction is assessed using Shapley additive explanation (SHAP). Results:Univariate analysis showed statistically significant differences between the CR-DGE and non-CR-DGE groups in terms of age [66(62, 69) years vs. 56(51, 60), years], diabetes [42.6%(40/94) vs. 11.4%(21/184)], level of fibrinogen [3.43(2.74, 4.18) g/L vs. 3.84(3.19, 4.68) g/L], pancreatic duct diameter [2.00(1.50, 2.70) mm vs. 3.40(1.60, 5.00) mm], intraoperative blood loss [300(200, 600) ml vs. 200(150, 300) ml], operative time [472(430, 502) min vs. 430(365, 475) min], clinically relevant postoperative pancreatic fistula [34.0%(32/94) vs. 3.8%(7/184)], abdominal fluid accumulation [46.8%(44/94) vs. 12.5%(23/184)], postoperative hemorrhage [20.2%(19/94) vs. 3.3%(6/184)], abdominal infection [28.7%(27/94) vs. 11.4% (21/184)] and duration of postoperative gastrointestinal decompression [4.00 (2.00, 6.00) d vs. 3.00 (2.00, 5.00) d] (all P<0.05). The eleven variables selected via LASSO were incorporated into each of the eight machine learning models. Results demonstrated that the random forest model achieved the highest performance in the validation set, with an AUC of 0.894 (95% CI: 0.800-0.985), accuracy of 0.820 and sensitivity of 0.606. Calibration plots and DCA confirmed the robustness of the random forest model. SHAP analysis indicated that age, pancreatic duct diameter and preoperative aspartate aminotransferase were important predictors in the random forest model. Conclusion:The random forest model developed in this study demonstrated a good predictive performance for CR-DGE after LPD and may assist in the early identification of high-risk patients in clinical practice.

Objective:To investigate the influencing factors for microvascular invasion (MVI) in hepatocellular carcinoma based on three-dimensional visualization and the construction of its nomogram model.Methods:The retrospective cohort study method was conducted. The clinico-pathological data of 190 patients with hepatocellular carcinoma who were admitted to Henan University People′s Hospital from May 2018 to May 2021 were collected. There were 148 males and 42 females, aged (58±12)years. The 190 patients were randomly divided into the training set of 133 cases and the validation set of 57 cases by the method of random number table in the ratio of 7:3. The abdominal three-dimensional visualization system was used to characterize the tumor morphology and other imaging features. Observation indicators: (1) analysis of influencing factors for MVI in hepatocellular carcinoma; (2) construction and evaluation of nomogram model of MVI in hepatocellular carcinoma. Measurement data with normal distribution were expressed as Mean± SD, and independent sample t test was used for comparison between groups. Measurement data with skewed distribution were expressed as M( Q1, Q3), and non-parametric rank sum test was used for comparison between groups. Count data were expressed as absolute numbers, and the chi-square test was used for comparison between groups. Corresponding statistical methods were used for univariate analysis. Binary Logistic regression model was used for multivariate analysis. Receiver operator characteristic (ROC) curves were plotted, and the nomogram model was assessed by area under the curve (AUC), calibration curve, and decision curve. Results:(1) Analysis of influencing factors for MVI in hepatocellular carcinoma. Among 190 patients with hepatocellular carcinoma, there were 97 cases of positive MVI (including 63 cases in the training set and 34 cases in the validation set) and 93 cases of negative MVI (including 70 cases in the training set and 23 cases in the validation set). Results of multivariate analysis showed that alpha-fetoprotein, vascular endothelial growth factor, tumor volume, the number of tumors, and tumor morphology were independent factors affecting the MVI of patients with hepatocellular carcinoma ( odds ratio=5.06, 3.62, 1.00, 2.02, 2.59, 95% confidence interval as 1.61-15.90, 1.28-10.20, 1.00-1.01, 1.02-3.98, 1.03-6.52, P<0.05). (2) Construction and evaluation of nomogram model of MVI in hepatocellular carcinoma. The results of multivariate analysis were incorporated to construct a nomogram prediction model for MVI of hepatocellular carcinoma. ROC curves showed that the AUC of the training set of nomogram model was 0.85 (95% confidence interval as 0.79-0.92), the optimal fractional cutoff based on the Jordon′s index was 0.51, the sensitivity was 0.71, and the specificity was 0.84. The above indicators of validation set were 0.92 (95% confidence interval as 0.85-0.99), 0.50, 0.90, and 0.82, respectively. The higher total score of the training set suggested a higher risk of MVI in hepatocellular carcinoma. The calibration curves of both training and validation sets of nomogram model fitted well with the standard curves and have a high degree of calibration. The decision curve showed a high net gain of nomogram model. Conclusions:Alpha-fetoprotein, vascular endothelial growth factor, tumor volume, the number of tumors, and tumor morphology are independent influencing factors for MVI in patients with hepatocellular carcinoma. A nomogram model constructed based on three-dimensional visualized imaging features can predict MVI in hepatocellular carcinoma.

Objective:To study the impact of the age-adjusted Charlson comorbidity index (ACCI) on the prognosis of patients with hilar cholangiocarcinoma following laparoscopic surgical resection.Methods:Clinical data of 136 patients with hilar cholangiocarcinoma undergoing laparoscopic surgery at Zhengzhou University People's Hospital between January 2013 and January 2018 were retrospectively analyzed, including 81 males and 55 females, aged (63.6±9.8) years. Patients were divided into two groups based on the median ACCI score of 4.0: the high ACCI group (ACCI>4.0, n=49) and low ACCI group (ACCI≤4.0, n=87). The prognosis was compared between the two group. Univariate and multivariate Cox regression analyses were performed to analyze the effect of ACCI on survival after laparoscopic surgery. Results:The 1- and 3-year cumulative survival rates in low ACCI group were 87.4% and 48.3%, respectively, compared to 53.1% and 4.1% in high ACCI group ( χ2=27.97, P<0.001). Univariate Cox regression analysis indicated that ACCI >4.0 was associated with prognosis ( HR=3.73, 95% CI: 2.44-5.68, P<0.001). Multivariate Cox regression analysis also indicated that ACCI >4.0 was associated with an increased risk of postoperative mortality in patients with hilar cholangiocarcinoma ( HR=2.69, 95% CI: 1.65-4.37, P<0.001). Conclusion:The ACCI is a significant risk factor for survival of patients with hilar cholangiocarcinoma following laparoscopic surgery, which could facilitate a precise preoperative assessment of patient status and choice of surgical approach.

Objective:To analyze the influencing factors of abnormal 15-minute retention rate of indocyanine green (ICG R15) (≥10%) in patients with hepatocellular carcinoma, and to construct a nomogram model, and to evaluate the prediction efficiency of the nomogram model.Methods:The clinical data of 190 patients with hepatocellular carcinoma in Zhengzhou University People's Hospital from December 2017 to June 2022 were retrospectively analyzed, including 148 males and 42 females, aged (57.8±9.9) years. According to ICG R15, the patients were divided into ICG R15 normal group ( n=134, ICG R15<10%) and ICG R15 abnormal group ( n=56, ICG R15≥10%). Univariate and multivariate logistic regression were used to analyze the influencing factors of abnormal ICG R15, and the nomogram model was established. The predictive ability of the model was evaluated by receiver operating characteristic (ROC) curve and C-index, and the model was verified by calibration curve and decision analysis curve. Results:Abnormal ICG R15 group the proportion of liver cirrhosis, albumin ≤35 g/L, hemoglobin ≤110 g/L, platelet count ≤100×10 9/L, prothrombin time >13 s, alanine aminotransferase >40 U/L, aspartate aminotransferase >40 U/L, total bilirubin >34.2 μmol/L, and the largest tumor diameter >5.0 cm, spleen volume >383.1 cm 3, spleen volume to of non-tumor liver volume (SNLR) >0.276 and liver tumor volume >117.2 cm 3 were higher than that of ICG R15 normal group, and the differences were statistically significant (all P<0.05). Logistic regression analysis showed that liver cirrhosis ( OR=3.89, 95% CI: 1.28-11.80, P=0.016), spleen volume >383.1 cm 3( OR=5.17, 95% CI: 1.38-19.38, P=0.015), SNLR >0.276 ( OR=5.54, 95% CI: 1.44-21.26, P=0.013) and total bilirubin >34.2 μmol/L( OR=10.20, 95% CI: 1.88-55.39, P=0.007) increased the risk of abnormal ICG R15. A nomogram model was constructed based on the above risk factors. The C-index of the model was 0.915 (95% CI: 0.872-0.957), and the area under the ROC curve predicted by the nomogram model was 0.915 (95% CI: 0.871-0.958). The calibration curve showed that the correlation index of the abnormal ICG R15 predicted by the nomogram was similar to actual situation. Decision analysis curve showed high returns. Conclusion:Liver cirrhosis, spleen volume >383.1 cm 3, SNLR>0.276 and total bilirubin >34.2 μmol/L were indepentlent risk factors for abnormal ICG R15 in patients with hepatocellur carcinoma. The clinical prediction model of ICG R15 abnormality constructed by nomogram has good prediction efficiency, which can provide a reference for evaluating preoperative liver reserve function of patients with hepatocellular carcinoma.

H 1-antihistamines are widely used in the treatment of various allergic diseases, but there are still many challenges in the safe and rational use of H 1-antihistamines in pediatrics, and there is a lack of guidance on the prescription review of H 1-antihistamines for children.In this paper, suggestions are put forward from the indications, dosage, route of administration, pathophysiological characteristics of children with individual difference and drug interactions, so as to provide reference for clinicians and pharmacists.

Objective: To evaluate diet quality and related problems among children and adolescents in Yunnan Province, in order to provide a theoretical basis for the formulation of targeted dietary interventions for children and adolescents in this region. Methods: Using a stratified random sampling method, 1 078 primary and secondary school students from six prefecture level cities in Yunnan Province were selected from August to November 2022. Dietary quality was evaluated by applying the China Children s Dietary Index (CCDI-2016) on the basis of a 3 d 24 h dietary survey. Results: The total dietary index score of children and adolescents in Yunnan Province was 62.63(54.57,71.19). The overall recommended intakes were largely achieved by consumption of cereals, eggs and sugary drinks, with dietary index scores of 9.91(8.24,10.00), 5.58(0,8.58) and 9.20(7.38,10.00), respectively; there were inadequate intakes of vegetables, legumes, water, vitamin A and dietary fiber, with scores of 5.63(4.09,7.59), 3.48 (0,9.70), 4.23(2.67,5.50), 2.33(1.56,3.53), 3.19(1.63,5.67), respectively; intake of fruits, dairy and aquatic products were severely deficient, with scores of 0(0,1.74), 0(0,2.37), 0(0,9.85), respectively; excessive intake of meat was found, with a dietary index score of 0(0,2.46). The stratified analysis showed that children and adolescents aged 11-13 years had the highest total dietary scores[65.35(54.29,72.03)], followed by those aged 7-10 years[63.46(56.19,72.63)], while the 14-17 year old age group had the lowest scores[59.07(51.15,68.30), H=32.23, P <0.01]. Girls had higher total dietary scores than that of boys[64.20(56.12,72.56), 59.32(52.60,69.72), Z=-5.16, P <0.01], while urban children and adolescents had higher total dietary scores than rural children and adolescents[65.30(54.84,73.62), 62.17(54.31,70.70), Z=-2.11, P <0.05]. Furthermore, higher total dietary index scores were observed among children and adolescents whose parents had a higher educational level( H=27.68, 22.58, P <0.01). The comparison of ethnic groups revealed that the Wa children and adolescents had the highest total dietary index scores, while the Hani children had the lowest( H=27.51, P <0.01). Conclusion The overall dietary quality of children and adolescents in Yunnan Province is not high, the imbalance of dietary nutrition is prominent, and the dietary structure needs to be adjusted and optimized. Intervention programs should focus on the problem of insufficient intake of fruits and vegetables, milk and legumes, aquatic products and excessive intake of poultry meat among children and adolescents.

The United States is the country with the most pilot practices in value-based healthcare payment reform, and value-based purchasing (VBP) is one of its pilot projects. The authors introduced the basic situation and implementation effects of the pilot projects of VBP payment reform in the United States from the hospital and physician levels respectively, and analyzed the causes for their unsatisfactory implementation effects. Then, the authors proposed its enlightenments for China from such aspects as the construction of value-based medical payment index system, implementation of value-based medical payment reform, and management costs, to provide reference for the construction of high-quality value-based medical service system in China.