OBJECTIVE: To understand the current situation of clinical drug use and to inspect the rationality of drug use and survey indices. METHODS: Twenty common diseases(1 530 cases ) treated in this hospital in 1995 were selected. Patierits were divided into three groups according to the sources of expenses: free of charge, self - expense, public - expense or into cases of internal medical and surgical departments. Using selected drug use indicators(SDUI) and self - designed indices, clinical drug use were surveyed and analyzed. RESULTS: There were no significant differences between each group jn main indices. It showed that irrational drug use was only different in degree. CONCLUSION: ①The indices adopted are practicable and rational for surveying and studying the rational drug use objectively. ②In any health care system and in any disease, the irrational drug use was serious.

An increasing number of studies suggested that the tumor microenvironment exerts a substantial influence on the pathophysiology of pancreatic cancer. As a crucial component of the tumor microenvironment,the tumor stroma plays a pivotal role in the occurrence,development,and chemotherapy resistance of pancreatic cancer. By serving as a proxy for the interaction between tumor cells and the microenvironment,the tumor stroma ratio(TSR) has emerged as a focal point of investigation in recent years. At present,numerous studies show that a low TSR is a protective factor for the prognosis of resectable pancreatic cancer. Additionally, patients with a low TSR are more suitable for the gemcitabine and albumin-bound paclitaxel chemotherapy regimen. But these researches are not conclusive, and there is still a gap between guiding precision treatment. Further research and exploration are required. Integration of artificial intelligence deep learning models into traditional pathological and imaging assessments facilitates precise evaluation of the TSR. It can also enable stratification and precision treatment of pancreatic cancer patients based on this index.

Pancreatic neuroendocrine neoplasm (pNEN) is highly heterogeneous, and the prognosis varies among tumors of different stages and grades. However, there is lacking high pro-gnostic predictors with sensitivity and specificity. Inflammation plays a pivotal role in the occurrence and development of different tumors, various inflammatory markers such as neutrophil-lymphocyte ratio, platelet-lymphocyte ratio, lymphocyte-monocyte ratio are of great significance in the diagnosis, treat-ment, and prognosis of tumors. Several studies have demonstrated that inflammatory markers are associated with poor prognosis and can serve as predictive factors for tumor prognosis. The authors summarize recent advances in the researches focused on the prognostic value of inflamma-tory markers in pNEN, in order to provide novel insights for clinical decision-making of pNEN.

An increasing number of studies suggested that the tumor microenvironment exerts a substantial influence on the pathophysiology of pancreatic cancer. As a crucial component of the tumor microenvironment,the tumor stroma plays a pivotal role in the occurrence,development,and chemotherapy resistance of pancreatic cancer. By serving as a proxy for the interaction between tumor cells and the microenvironment,the tumor stroma ratio(TSR) has emerged as a focal point of investigation in recent years. At present,numerous studies show that a low TSR is a protective factor for the prognosis of resectable pancreatic cancer. Additionally, patients with a low TSR are more suitable for the gemcitabine and albumin-bound paclitaxel chemotherapy regimen. But these researches are not conclusive, and there is still a gap between guiding precision treatment. Further research and exploration are required. Integration of artificial intelligence deep learning models into traditional pathological and imaging assessments facilitates precise evaluation of the TSR. It can also enable stratification and precision treatment of pancreatic cancer patients based on this index.

Gastroenteropancreatic neuroendocrine tumor G3(GEP-NET G3) is a novel subtype of neuroendocrine neoplasms proposed in 2019,which has unique biological behavior characteristics. However,there are still many challenges and controversies in its diagnosis and treatment. There are obvious differences between GEP-NET G3 and neuroendocrine carcinoma (NEC) in genetic alterations and molecular profiles. The most frequently mutated genes in NET G3 are MEN1,DAXX/ATRX,while in NEC,TP53 and Rb are the most frequently mutated genes. Currently,the mainstream view is that NET G3 and NEC are two distinct diseases with different genetic backgrounds,and NET G3 will not develop into NEC. Several clinical and pathological factors should be considered to distinguish GEP-NET G3 and NEC,which including patients′ medical history,histopathological morphology of neoplasms,Ki-67 index,immunohistochemical results of TP53,Rb,DAXX/ATRX and other markers. Multidisciplinary treatment,including radical resection,chemotherapy,targeted therapy,peptide receptor radionuclide therapy,immunotherapy should be applied in patients with GEP-NET G3. Overall,given its relatively indolent biological behavior,the therapeutic strategy should be more actively. Although the cure strategy of NET G3 has many similarities with NET G1/2,it is completely different from NEC.

Objective:To examine the characteristics of blood lipid profile and the correlation with clinic-pathological features of pancreatic cancer patients.Methods:The clinical and pathological data of 265 pancreatic cancer patients who received radical surgical treatment at Department of General Surgery,Qilu Hospital,Shandong University from January 2013 to September 2020 were collected and analyzed retrospectively. Among the 265 pancreatic cancer patients,there were 170 males and 95 females,with age of (61.0±9.6)years(range:28 to 86 years). General information,lipid indicators and clinic-pathological information were collected from electronic medical record system,and follow-up information gained by telephone. According to level of serum lipid in pancreatic cancer patients,265 patients were divided into dyslipidemia group( n=115) and normal lipid group( n=150). Pearson χ 2,Student′s t tests, variance analysis or univariate Logistic regression was used to analyze the correlation between dyslipidemia and clinico-pathological characteristics of pancreatic cancer,respectively. Kaplan-Meier survival curve was used to assessed the influence of dyslipidemia on prognosis of pancreatic cancer patients. Results:In 265 pancreatic cancer patients,115(43.4%)of them had dyslipidemias,and the most common form was increase of triglyceride(TG)(72.2%). In pancreatic cancer with dyslipidemias group,patients with body mass index ≥25 kg/m 2 had higher proportion than normal lipid group(36.1%(26/72) vs. 21.2%(21/99),χ2=4.643, P=0.031); The proportion of carcinoma located at head of pancreas(83.5%(96/115) vs. 40.7%(61/150),χ2=49.412, P<0.01), staging of T1/T2(79.1%(91/115) vs. 60.7%(91/150),χ2=10.316, P<0.01) and lymphatic metastasis(36.5%(42/115) vs. 22.7%(34/150),χ2=6.007, P<0.01) were higher. In patients of pancreatic cancer, dyslipidemias were closely associated with tumor location( OR=10.529, P<0.01)and body mass index( OR=3.671, P=0.008). Serum lipid profile results showed that TG,total cholesterol and high-density lipoprotein(HDL) disorders were associated with tumor location( P<0.05). TG disorder had association with body mass index( P<0.05), and HDL disorder had association with tumor stage( P<0.05). Moreover, the result of survival analysis showed that dyslipidemia was not a factor to impact the prognosis of pancreatic cancer patients underwent surgery( P>0.05). Conclusions:In pancreatic cancer patients,TG disorder was the most common type of dyslipidemia. Dyslipidemia has closely association with clinicopathologic features,including tumor location,body mass index,tumor stage. However,dyslipidemia had little effect on prognosis of pancreatic cancer patients.

Gastroenteropancreatic neuroendocrine tumor G3(GEP-NET G3) is a novel subtype of neuroendocrine neoplasms proposed in 2019,which has unique biological behavior characteristics. However,there are still many challenges and controversies in its diagnosis and treatment. There are obvious differences between GEP-NET G3 and neuroendocrine carcinoma (NEC) in genetic alterations and molecular profiles. The most frequently mutated genes in NET G3 are MEN1,DAXX/ATRX,while in NEC,TP53 and Rb are the most frequently mutated genes. Currently,the mainstream view is that NET G3 and NEC are two distinct diseases with different genetic backgrounds,and NET G3 will not develop into NEC. Several clinical and pathological factors should be considered to distinguish GEP-NET G3 and NEC,which including patients′ medical history,histopathological morphology of neoplasms,Ki-67 index,immunohistochemical results of TP53,Rb,DAXX/ATRX and other markers. Multidisciplinary treatment,including radical resection,chemotherapy,targeted therapy,peptide receptor radionuclide therapy,immunotherapy should be applied in patients with GEP-NET G3. Overall,given its relatively indolent biological behavior,the therapeutic strategy should be more actively. Although the cure strategy of NET G3 has many similarities with NET G1/2,it is completely different from NEC.

Objective:To examine the characteristics of blood lipid profile and the correlation with clinic-pathological features of pancreatic cancer patients.Methods:The clinical and pathological data of 265 pancreatic cancer patients who received radical surgical treatment at Department of General Surgery,Qilu Hospital,Shandong University from January 2013 to September 2020 were collected and analyzed retrospectively. Among the 265 pancreatic cancer patients,there were 170 males and 95 females,with age of (61.0±9.6)years(range:28 to 86 years). General information,lipid indicators and clinic-pathological information were collected from electronic medical record system,and follow-up information gained by telephone. According to level of serum lipid in pancreatic cancer patients,265 patients were divided into dyslipidemia group( n=115) and normal lipid group( n=150). Pearson χ 2,Student′s t tests, variance analysis or univariate Logistic regression was used to analyze the correlation between dyslipidemia and clinico-pathological characteristics of pancreatic cancer,respectively. Kaplan-Meier survival curve was used to assessed the influence of dyslipidemia on prognosis of pancreatic cancer patients. Results:In 265 pancreatic cancer patients,115(43.4%)of them had dyslipidemias,and the most common form was increase of triglyceride(TG)(72.2%). In pancreatic cancer with dyslipidemias group,patients with body mass index ≥25 kg/m 2 had higher proportion than normal lipid group(36.1%(26/72) vs. 21.2%(21/99),χ2=4.643, P=0.031); The proportion of carcinoma located at head of pancreas(83.5%(96/115) vs. 40.7%(61/150),χ2=49.412, P<0.01), staging of T1/T2(79.1%(91/115) vs. 60.7%(91/150),χ2=10.316, P<0.01) and lymphatic metastasis(36.5%(42/115) vs. 22.7%(34/150),χ2=6.007, P<0.01) were higher. In patients of pancreatic cancer, dyslipidemias were closely associated with tumor location( OR=10.529, P<0.01)and body mass index( OR=3.671, P=0.008). Serum lipid profile results showed that TG,total cholesterol and high-density lipoprotein(HDL) disorders were associated with tumor location( P<0.05). TG disorder had association with body mass index( P<0.05), and HDL disorder had association with tumor stage( P<0.05). Moreover, the result of survival analysis showed that dyslipidemia was not a factor to impact the prognosis of pancreatic cancer patients underwent surgery( P>0.05). Conclusions:In pancreatic cancer patients,TG disorder was the most common type of dyslipidemia. Dyslipidemia has closely association with clinicopathologic features,including tumor location,body mass index,tumor stage. However,dyslipidemia had little effect on prognosis of pancreatic cancer patients.

Objective To evaluate the characteristics of spatial distribution and time accumulation of impact acceleration at different parts of human body during backward falling process. Methods Four healthy men and four healthy women (20-20 years old) were enrolled. The tri-axial acceleration on head, chest, left/right arm/hand/foot, left/right front/back hip, left/right femur head, sacrum and coccyx throughout the backward falling were measured by ADXL335 tri-axial acceleration sensor. Systemic acceleration distribution of backward falling was polynomial fitted by signal magnitude vector (SMV) of its first peak. Besides, parameters of impulse mechanics such as zero-g time, total falling time, peak SMV, relative pressure impulse of the vulnerable sites (head, hip and its related sites) were also calculated. Results Compared with the other parts of the body, the peak SMV and relative impulses of left/right back hip and head were significantly higher (P＜0.05). Acceleration that paralleled to the ground in left/right back hip was also relatively large. The rotational transform angles of left/right back hip, left/right femur head, sacrum and coccyx were significantly larger (P＜0.05). In addition, during the process of falling backward to the ground, a sliding tendency toward the sagittal plane 53.58°±6.75° occurred at all testing sites. Conclusions Head and hips are vulnerable during backward falling, and their zero-g time (0.26±0.05) s can be used as the longest starting time of falling protection devices. The large change angle of left/right hip, left/right femoral head, sacrum and coccyx may be the important cause of the sprain during backward falling.

ObjectiveTo investigate the influencing factors for traditional Chinese medicine （TCM） syndromes of primary liver cancer， and to provide a theoretical basis for the TCM syndrome differentiation and standardized treatment of liver cancer. MethodsTCM syndrome differentiation was performed for 415 patients who were admitted to Shanxi Institute of Traditional Chinese Medicine and were diagnosed with primary liver cancer based on pathological or clinical examinations from January 2019 to December 2023. The chi-square test was used for comparison of categorical data between groups， and the unordered polytomous logistic regression model was used to investigate the influencing factors for TCM syndromes of liver cancer. ResultsThe common initial symptoms of the 415 patients with primary liver cancer included pain in the liver area （31.81%）， abdominal distension （25.30%）， abdominal pain （15.18%）， and weakness （13.98%）， and the main clinical symptoms included poor appetite （70.84%）， fatigue （69.16%）， pain in the liver area （67.47%）， poor sleep （59.04%）， abdominal distension （53.01%）， and constipation （52.53%）. There were significant differences in TCM syndromes between patients with different sexes， courses of the disease， clinical stages， Child-Pugh classes， presence or absence of intrahepatic and extrahepatic metastasis， and presence or absence of transcatheter arterial chemoembolization （TACE） and radiofrequency ablation （all P<0.05）. The logistic regression analysis showed that male sex was a risk factor for damp-heat accumulation （odds ratio ［OR］=2.036， P=0.048） and the syndrome of spleen-kidney Yang deficiency （OR=5.240， P<0.001）； a course of disease of<1 year was a risk factor for damp-heat accumulation （OR=2.837， P=0.004） and syndrome of Qi stagnation and blood stasis （OR=2.317， P=0.021）， but it was a protective factor against syndrome of spleen-kidney Yang deficiency （OR=0.385， P=0.005）； Child-Pugh class A/B was a protective factor against liver-kidney Yin deficiency （OR=0.079， P<0.001）； intrahepatic metastasis was a risk factor for liver-kidney Yin deficiency （OR=5.117， P=0.003） and syndrome of spleen-kidney Yang deficiency （OR=3.303， P=0.010）； TACE was a protective factor against liver-kidney Yin deficiency （OR=0.171， P<0.001） and syndrome of spleen-kidney Yang deficiency （OR=0.138， P<0.001）； radiofrequency ablation was a risk factor for damp-heat accumulation （OR=4.408， P<0.001） and liver-kidney Yin deficiency （OR=32.036， P<0.001）. ConclusionSex， course of disease， Child-Pugh class， intrahepatic metastasis， TACE， and radiofrequency ablation are the main influencing factors for TCM syndromes of liver cancer.