Objective To investigate influencing factors of textbook outcome(TO)in patients with pancreatic ductal adenocarcinoma undergoing minimally invasive pancreaticoduodenectomy(MIPD).Methods A retrospective analysis was conducted on the clinical data of 101 cases of pancreatic ductal adenocarcinoma treated with MIPD in our hospital from January 2020 to December 2022.According to the inclusion and exclusion criteria,89 cases were ultimately included in this study,of which 61 cases reached TO(TO group)and 28 cases did not reach TO(non-TO group).Variables with P<0.05 in univariate analysis were included in multivariate logistic regression analysis to identify independent prognostic factors of TO.Results Univariate analysis showed that there were significant differences in pancreatic duct dilation>3 mm,preoperative neutrophil lymphocyte ratio(NLR),extended hospital stay,postoperative hospitalstay,and drain fluid amylase(DFA)>1100 U/L at1-3 d aftersurgery(P<0.05).Multivariate logistic regression analysis showed that the independent prognostic factors affecting TO were:pancreatic duct dilation>3 mm(OR=7.290,95%CI:1.485-35.786,P=0.014),postoperative hospital stay(OR=0.862,95%CI:0.751-0.989,P=0.034),and the DFA on the first postoperative day>1100 U/L(OR=0.052,95%CI:0.005-0.545,P=0.014).Conclusions The outcome of TO in patients after MIPD is not related to the surgical approach(robot assisted minimally invasive pancreaticoduodenectomy or laparoscopic pancreaticoduodenectomy).Pancreatic duct dilation>3 mm,postoperative hospital stay,and DFA on the first postoperative day>1100 U/L are independent prognostic factors of TO after MIPD in patients with pancreatic ductal adenocarcinoma.

Objective:To predict very early recurrence after radical resection in patients with pancreatic head cancer by combining preoperative enhanced CT imaging findings and clinicopathological features.Methods:The clinicopathological and preoperative enhanced CT imaging features of 241 patients who underwent radical pancreaticoduodenectomy at Peking University Third Hospital from Jan 2010 to Dec 2022 were retrospectively collected and analyzed.Results:Using recurrence within 3 months after surgery as the definition for very early recurrence, 49 out of 241 patients experienced very early recurrence. Multivariate analysis showed that preoperative BMI<18.5 kg/m2( P=0.040), rim enhancement( P=0.028), lymphovascular invasion( P<0.001), and poor tumor differentiation ( P=0.013) were independent risk factors for very early recurrence. Conclusion:Enhanced CT imaging features combined with clinicopathological characteristics can predict very early recurrence after resection of pancreatic head cancer.

Objective:To analyze the frailty status and its influencing factors among middle-aged and elderly individuals of Zhiguo ethnic groups in Yunnan Province.Methods:A cross-sectional study was conducted using a multi-stage random cluster sampling method in the settlements of the Zhiguo ethnic groups in Yunnan Province from July to December in 2022. The study enrolled a total of 1 036 middle-aged and elderly individuals aged 45 years and above. Data on general characteristics (including chronic disease prevalence, sleep quality, smoking and alcohol consumption) and frailty status were collected in the subjects. A total of 1 050 questionnaires were distributed, 1 040 questionnaires returned with 1 036 valid responses (98.7%). Logistic regression analysis was performed to identify factors influencing frailty status among different Zhiguo ethnic groups.Results:Among the 1 036 middle-aged and elderly individuals of Zhiguo ethnic groups in Yunnan Province, there were 482 males and 554 females, with a frailty rate of 26.25% (272/1 036), the Bulang ethnic group had the highest frailty rate (35.56%) and the Jinuo ethnic group showed the lowest (18.49%). Being aged≥60 years ( OR=1.647, 95% CI: 1.177-2.303), having≥2 chronic diseases ( OR=2.183, 95% CI: 1.470-3.245), and suffering from sleep disorders ( OR=2.468, 95% CI: 1.786-3.411) were positively associated with frailty occurrence, whereas having high social support ( OR=0.614, 95% CI: 0.434-0.867) was inversely associated with the risk of frailty (all P<0.05). Ethnic subgroup analyses revealed that suffering from sleep disorders were a common influencing factor for frailty across all Zhiguo ethnic groups (all P<0.05). In the Jinuo ethnic group, having≥2 chronic diseases showed a positive association with frailty ( OR=3.387, 95% CI: 1.054-10.879) ( P<0.05). In the Bulang subgroup, having≥2 chronic diseases ( OR=3.951, 95% CI: 1.201-12.995) and aged ≥60 years ( OR=3.415, 95% CI: 1.347-8.657) were both positively associated with frailty, while having high social support ( OR=0.185, 95% CI: 0.065-0.527) was inversely associated with the risk of frailty (all P<0.05). Conclusion:The frailty rate in middle-aged and elderly individuals among Zhiguo ethnic groups in Yunnan Province is notably high, and sleep quality, social support, and chronic conditions are its main influencing factors.

Objective:To analyze clinical characteristics and prognosis of B-cell acute lymphoblastic leukemia(B-ALL)patients with IKZF1 deletion.Methods:72 patients with B-ALL admitted to our hospital from April 2020 to January 2023 were selected,IKZF1 deletion were detected,and clinical characteristics and prognosis were analyzed.Results:Among the 72 patients,a total of 32 patients(44.4％)were identified with IKZF1 deletions(IKZF1+).There was no statistically significant difference in basic clinical data between patients with normal IKZF1(IKZF1-)and those with IKZF1+(P＞0.05).The proportion of patients with IKZF1+in Ph+group was significantly higher than that in Ph-group(P＜0.05).The main types of IKZF1+were exon 1-8 deletion(34.4％)and exon 4-7 deletion(31.2％).The median OS and PFS of IKZF1-patients were significantly longer than those of IKZF1+patients(OS:26.0 months vs 16.0 months,x2=23.094,P＜0.05;PFS:26.0 months vs 16.0 months,x2=11.150,P＜0.05).Among IKZF1+patients,the median OS of patients who received allogeneic hematopoietic stem cell transplantation(allo-HSCT)was significantly longer than that of patients who did not receive allo-HSCT(no reached vs 15.0 months,x2=5.685,P＜0.05).Conclusion:IKZF1 deletion is a risk factor affecting the prognosis of B-ALL patients.

Objective To investigate influencing factors of textbook outcome(TO)in patients with pancreatic ductal adenocarcinoma undergoing minimally invasive pancreaticoduodenectomy(MIPD).Methods A retrospective analysis was conducted on the clinical data of 101 cases of pancreatic ductal adenocarcinoma treated with MIPD in our hospital from January 2020 to December 2022.According to the inclusion and exclusion criteria,89 cases were ultimately included in this study,of which 61 cases reached TO(TO group)and 28 cases did not reach TO(non-TO group).Variables with P<0.05 in univariate analysis were included in multivariate logistic regression analysis to identify independent prognostic factors of TO.Results Univariate analysis showed that there were significant differences in pancreatic duct dilation>3 mm,preoperative neutrophil lymphocyte ratio(NLR),extended hospital stay,postoperative hospitalstay,and drain fluid amylase(DFA)>1100 U/L at1-3 d aftersurgery(P<0.05).Multivariate logistic regression analysis showed that the independent prognostic factors affecting TO were:pancreatic duct dilation>3 mm(OR=7.290,95%CI:1.485-35.786,P=0.014),postoperative hospital stay(OR=0.862,95%CI:0.751-0.989,P=0.034),and the DFA on the first postoperative day>1100 U/L(OR=0.052,95%CI:0.005-0.545,P=0.014).Conclusions The outcome of TO in patients after MIPD is not related to the surgical approach(robot assisted minimally invasive pancreaticoduodenectomy or laparoscopic pancreaticoduodenectomy).Pancreatic duct dilation>3 mm,postoperative hospital stay,and DFA on the first postoperative day>1100 U/L are independent prognostic factors of TO after MIPD in patients with pancreatic ductal adenocarcinoma.

Objective:To explore the interrelationship between brain functional networks and features in functional magnetic resonance imaging(fMRI)of patients with Alzheimer's disease(AD),and to construct mixed-function networks(MFN),and apply them in machine learning classification models to improve the accuracy of AD classification.Methods:102 AD patients and 227 healthy subjects in the Alzheimer's Neuroimaging Initiative(ADNI)dataset were retrospectively analyzed.The partial correlation brain network of the blood oxygen level dependent(BOLD)signal was calculated and fused with low-frequency wave amplitude(ALFF),fractional low-frequency wave amplitude(fALFF)and local consistency(ReHo)features to construct MFN.Network topology parameters were extracted,and a variety of machine learning classification models were constructed based on MFN topological parameters,accuracy,precision,recall and area under the curve(AUC)were used to evaluate the predictive efficiency of the models.Results:By constructed MFN and calculated intra group to inter group ratio(IIGR),35 features could be obtained from ALFF,fALFF and ReHo feature topological parameter analysis,after rank sum test and FDR correction,there were statistical differences among 28 features(P＜0.05).The classification results show that,all the five classifiers have high classification performance on the test data set.The accuracy,precision and recall rates of random forest(RF),adaptive lifting algorithm(AdaBoost),guided aggregation algorithm(Bagging)and support vector machine(SVM)were all 99.7％,and the AUC values were up to 100％,99.5％,99.1％and 99.5％,respectively.The accuracy(98.5％),precision(98.5％),recall(98.5％),and AUC(99.1％)of the multi-layer perceptron(MLP)were slightly lower than other models,but remained excellent.It was worth noting that RF has the highest AUC value of all models at 100.0％,while Bagging has the lowest AUC value(99.1％)in the integrated approach.The results of performance comparison show that,MFN classification model can significantly improve the recognition and classification of AD disease,and greatly improve the performance of various indicators of the classifier.The results showed that,MFN classification model was superior to intelligent classification based fusion,DBN-based multitask learning,PVT-TSVM,unsupervised learning and clustering,SVM and SVM of degree 3 polynomial kernel function in key indicators such as accuracy(99.13％),AUC(99.42％),recall rate(99.46％)and specificity(99.42％)with plasma proteins,machine learning algorithms.It was further proved that MFN classification model has good generalization ability and robustness in AD disease classification.Conclusion:The AD classification model constructed based on brain mixed function network topology parameters and machine learning can improve the accuracy of AD classification.

Objective:To analyze the frailty status and its influencing factors among middle-aged and elderly individuals of Zhiguo ethnic groups in Yunnan Province.Methods:A cross-sectional study was conducted using a multi-stage random cluster sampling method in the settlements of the Zhiguo ethnic groups in Yunnan Province from July to December in 2022. The study enrolled a total of 1 036 middle-aged and elderly individuals aged 45 years and above. Data on general characteristics (including chronic disease prevalence, sleep quality, smoking and alcohol consumption) and frailty status were collected in the subjects. A total of 1 050 questionnaires were distributed, 1 040 questionnaires returned with 1 036 valid responses (98.7%). Logistic regression analysis was performed to identify factors influencing frailty status among different Zhiguo ethnic groups.Results:Among the 1 036 middle-aged and elderly individuals of Zhiguo ethnic groups in Yunnan Province, there were 482 males and 554 females, with a frailty rate of 26.25% (272/1 036), the Bulang ethnic group had the highest frailty rate (35.56%) and the Jinuo ethnic group showed the lowest (18.49%). Being aged≥60 years ( OR=1.647, 95% CI: 1.177-2.303), having≥2 chronic diseases ( OR=2.183, 95% CI: 1.470-3.245), and suffering from sleep disorders ( OR=2.468, 95% CI: 1.786-3.411) were positively associated with frailty occurrence, whereas having high social support ( OR=0.614, 95% CI: 0.434-0.867) was inversely associated with the risk of frailty (all P<0.05). Ethnic subgroup analyses revealed that suffering from sleep disorders were a common influencing factor for frailty across all Zhiguo ethnic groups (all P<0.05). In the Jinuo ethnic group, having≥2 chronic diseases showed a positive association with frailty ( OR=3.387, 95% CI: 1.054-10.879) ( P<0.05). In the Bulang subgroup, having≥2 chronic diseases ( OR=3.951, 95% CI: 1.201-12.995) and aged ≥60 years ( OR=3.415, 95% CI: 1.347-8.657) were both positively associated with frailty, while having high social support ( OR=0.185, 95% CI: 0.065-0.527) was inversely associated with the risk of frailty (all P<0.05). Conclusion:The frailty rate in middle-aged and elderly individuals among Zhiguo ethnic groups in Yunnan Province is notably high, and sleep quality, social support, and chronic conditions are its main influencing factors.

Objective:To explore the relationship between urinary cadmium levels and thyroid hormone levels in people aged 40-89 years old in selected areas of China.Methods:Based on the "Investigation of the Impact of Soil Quality of Agricultural Land on Human Health in Typical Areas" project from October 2019 to August 2020, a multi-stage stratified random sampling method was used to include 6 588 middle-aged and older adults aged 40-89. Demographic characteristics, dietary frequency and disease status were collected through the questionnaire and physical examination. Urinary cadmium and urinary creatinine were detected by random midstream urine. Fasting venous blood was collected for the detection of Triiodothyronine (T3) and Thyroxine (T4). The linear mixed effects model was used to explore the association of urine cadmium levels with thyroid hormone levels. Its dose-response relationship was explored by using the restricted cubic spline.Results:The age of the subjects was (63.48±12.18) years, with males accounting for 51.28%. The M ( Q 1,Q 3) of urinary cadmium level, T3 and T4 was 2.48 (1.36, 4.42) μg/g·creatinine, (1.96±0.51) nmol/L and (113.75±29.11) nmol/L, respectively. The linear mixed effects model showed that the changes of T3 and T4 were 0.027 (0.009, 0.044) nmol/L and 2.019 (1.084, 2.953) nmol/L for each one-unit increase (natural logarithm transformed) of urinary cadmium. The restricted cubic spline showed that there was a positive nonlinear association between urinary cadmium and T3 as well as T4 (all Pnonlinear<0.05). Conclusion:In selected areas of China, the urinary cadmium level of middle-aged and older adults aged 40-89 years is positively associated with T3 and T4.

OBJECTIVE: To investigate the clinical characteristics and prognosis of primary pulmonary lymphoma (PPL). METHODS: The clinical data of 17 patients with PPL admitted to Gansu Provincial Hospital from January 2013 to June 2023 were collected, and their clinical characteristics and prognosis were retrospectively analyzed and summarized. RESULTS: The median age of the 17 patients was 56 (29-73) years old. There were 8 males and 9 females. According to Ann Arbor staging system, there were 9 patients with stage I-II and 8 patients with stage III-IV. There were 14 patients with IPI score of 0-2 and 3 patients with IPI score of 3-4. All 17 patients had symptoms at the initial diagnosis, most of the first symptoms were cough, and 6 patients had B symptoms.Among the 17 patients, there were 8 cases of diffuse large B-cell lymphoma (DLBCL), 5 cases of mucosa-associated lymphoid tissue (MALT) lymphoma, 1 case of gray zone lymphoma (GZL), and 3 cases of Hodgkin's lymphoma (HL). 15 patients received chemotherapy, of which 3 cases received autologous hematopoietic stem cell transplantation(ASCT) and 3 cases received radiotherapy; 2 patients did not receive treatment. The median number of chemotherapy courses was 6(2-8). The short-term efficacy was evaluated, 12 patients achieved complete remission (CR) and 3 patients achieved partial remission (PR). The age, pathological subtype, sex, Ann Arbor stage, β₂-microglobulin(β₂-MG) level, lactate dehydrogenase(LDH) level were not correlated with CR rate (P >0.05), while IPI score was correlated with recent CR rate (P < 0.05 ). The median follow-up time was 31(2-102) months. One of the 12 CR patients died of COVID-19, and the rest survived. Among the 3 patients who did not reach CR, 1 died after disease progression, while the other 2 survived. One of the 2 untreated patients died one year after diagnosis. Both the median progression-free survival (PFS) time and overall survival (OS) time of the 17 patients were both 31 (2-102) months. CONCLUSION The incidence of PPL is low, and the disease has no specific clinical manifestations, which is easily missed and misdiagnosed. The pathological subtypes are mainly MALT lymphoma and DLBCL, and the treatment is mainly combined chemotherapy. The IPI score is related to the treatment efficacy.
Humans ; Middle Aged ; Male ; Female ; Adult ; Prognosis ; Aged ; Lung Neoplasms/therapy* ; Retrospective Studies ; Neoplasm Staging ; Lymphoma/therapy* ; Lymphoma, Large B-Cell, Diffuse