Objective To explore the impact of antimicrobial volume-based procurement(VBP)and classification management policy on the clinical use of carbapenem antibiotics.Methods Changing trend in defined daily doses(DDDs),procurement cost(Cost),defined daily dose cost(DDDc),and DDDs per 1 000 inhabitants daily(DID)of carbapenem antibiotics in all levels of medical institutions were analyzed by Mann-Kendall trend test.May 1,2020 was taken as the intervention cut-off point of VBP policy,September 2021 was as intervention cut-off point of cla-ssification management list.The impact of VBP and classification management policy on the clinical use of carbape-nem antibiotics were studied by interrupted time series analysis.Results After implementing VBP policy,the DDDs and DID of carbapenem antibiotics increased obviously,but the long-term trend didn't change significantly.Compared with before the implementation of the policy,the cost and DDDc of carbapenem antibiotics decreased im-mediately,the long-term trend of DDDc changed significantly,but the long-term trend of cost didn't change signifi-cantly.The DDDs and Cost of carbapenem antibiotics decreased immediately after the update of classification ma-nagement list,but the long-term downward trend was not significant,and DDDc presented a long-term upward trend.Conclusion VBP policy reduces the DDDc and short-term cost of carbapenem antibiotics,but its long-term impact on DDDs,cost and DID is limited.Classification management has limited impact on the use of carbapenem antibiotics in medical institutions.

Objective To explore the impact of antimicrobial volume-based procurement(VBP)and classification management policy on the clinical use of carbapenem antibiotics.Methods Changing trend in defined daily doses(DDDs),procurement cost(Cost),defined daily dose cost(DDDc),and DDDs per 1 000 inhabitants daily(DID)of carbapenem antibiotics in all levels of medical institutions were analyzed by Mann-Kendall trend test.May 1,2020 was taken as the intervention cut-off point of VBP policy,September 2021 was as intervention cut-off point of cla-ssification management list.The impact of VBP and classification management policy on the clinical use of carbape-nem antibiotics were studied by interrupted time series analysis.Results After implementing VBP policy,the DDDs and DID of carbapenem antibiotics increased obviously,but the long-term trend didn't change significantly.Compared with before the implementation of the policy,the cost and DDDc of carbapenem antibiotics decreased im-mediately,the long-term trend of DDDc changed significantly,but the long-term trend of cost didn't change signifi-cantly.The DDDs and Cost of carbapenem antibiotics decreased immediately after the update of classification ma-nagement list,but the long-term downward trend was not significant,and DDDc presented a long-term upward trend.Conclusion VBP policy reduces the DDDc and short-term cost of carbapenem antibiotics,but its long-term impact on DDDs,cost and DID is limited.Classification management has limited impact on the use of carbapenem antibiotics in medical institutions.

Purpose To explore the value of deep learning ultrasound radiomics nomogram in assessing the biological characteristics of invasive metastases in invasive breast cancer.Materials and Methods A retrospective collection of ultrasound imaging data from 180 pathologically confirmed invasive breast cancer between January 2021 to December 2022 in Maoming People's Hospital was conducted,with pathological reports indicating the status of lymph node metastasis(LNM),lymphovascular space invasion(LVSI)or perineural invasion(PNI),according to the LNM/LVSI/PNI status,the three indexes were divided into the training cohort and the verification cohort by 8∶2.Based on Pyradiomics and ResNet50 deep learning extractor,1 316 radiomic features and 2 048 deep learning features were extracted,respectively.The random forest machine learning algorithm was employed to develop evaluation models,and the model scores were calculated.The deep learning radiomics nomograms were developed based on the radiomic and deep learning model scores.The receiver operating characteristic curve was used to assess the performance of the models.The Delong test was applied to analyze the performance differences between different models.Results In the evaluation of LNM,LVSI and PNI status,the area under the curve of all the nomogram in the cohorts demonstrated moderate or above assessment performance(≥0.73),with accuracies all greater than 0.70.Specifically,in the LNM evaluation,the area under the curve of the training cohort was 0.97,the accuracy was 0.93,the sensitivity was 0.88 and the specificity was 0.96.Through the Delong test,the assessment performance of the nomograms was superior to the radiomics models(LNM,Z=2.04,P=0.04;LVSI,Z=2.80,P=0.01;PNI,Z=3.52,P<0.01),and was superior to or similar to the deep learning models(LNM,Z=4.52,P<0.01;LVSI,Z=1.86,P=0.06;PNI,Z=0.31,P=0.76)in the training cohort.Conclusion The deep learning radiomics nomogram can effectively evaluate the biological characteristics of invasion and metastasis in invasive breast cancer.The nomogram improves the assessment performance by integrating the radiomic and deep learning feature information.

Objective:To establish a good model of incomplete ablation of ectopic implanted tumor of liver, and explore the changes in the molecular landscape of residual cancer, cancer in nude mice.Methods:Eight immunodeficient BALB/c nude mice were used to establish an ectopic tumor model with the MHCC97-H hepatoma cell line, and they were randomly divided into experimental group and control group, with 4 mice in each group. The experimental group underwent simulated clinical incomplete ablation, and the control group only underwent false ablation. The differences between the models were evaluated by ultrasonic diagnostic equipment, thermal imaging cameras, HE staining and high-throughput whole transcriptome sequencing.Results:Liver cancer ectopic implantations in nude mices were all successful. The experimental group showed that the temperature of the tumor around the tip of the needle monitored by the thermal imaging camera was at 50-73.9 ℃. Compared with the control group, the HE staining of the experimental group mostly showed the coexistence of necrotic area-degeneration area-tumor cell area. The necrosis area was (23.75±13.77)%, and the degeneration area was 50%(30%). High-throughput whole transcriptome sequencing revealed that there were hundreds of overlapping stable molecular landscapes in the incomplete ablation simulation model both in vivo and in vitro.Conclusions:By establishing an ectopic implantion model of nude mice with incomplete ablation of residual liver cancer, it can provide a basis for studying the biological characteristics of incomplete ablation of residual cancer at the molecular level.

OBJECTIVETo establish the tissue response grading (TRG) system following neoadjuvant chemotherapy and to investigate its application in the gastric cancer patients who received neoadjuvant chemotherapy.

METHODSData of 30 cT3-4N0-3M0 gastric cancer cases who received neoadjuvant chemotherapy and operation from May 2017 to February 2018 at Department of Gastrointestinal Surgery, West China Hospital were analyzed retrospectively. The edema degree of gastrointestinal tract and perigastric tissues, intraoperative effusion, and fibrosis of tumor and lymph nodes bearing tissues which could be divided into 4 categories constituted the core parameters of the TRG system following neoadjuvant chemotherapy. Four categories of edema: grade 0, no obvious tissue edema; grade 1, slight tissue edema and swelling, no obvious effusion when dissecting the capsule of connective tissues; grade 2, moderate tissue edema and swelling, a few effusion when dissecting the capsule of connective tissues; grade 3, severe tissue edema and swelling with high tension on the capsule of connective tissues, tension blister could be observed in some patients, continuous effusion when dissecting the capsule of connective tissues. Four categories of intraoperative effusion: grade 0, no obvious effusion; grade 1, slight effusion and a few intraperitoneal exudation; grade 2, moderate effusion and continuous intraperitoneal exudation necessitating interrupted suction; grade 3, severe effusion and continuous intraperitoneal exudation necessitating constant suction. Four categories of fibrosis: grade 0, no fibrosis; grade 1, slight fibrosis with threadiness fibrous bands, clear dissecting space could be found between the fibrous tissues and adventitia/normal tissues; grade 2, moderate fibrosis with flaky fibrous tissues, the difficulty of tissue and lymph nodes dissection increased although dissecting space could be found between the fibrous tissues and adventitia/normal tissues; grade 3, severe fibrosis with hard and flaky fibrous membrane, the difficulty of tissue and lymph nodes dissection increased extremely and the fibrous tissues merges with adventitia/normal tissues without dissecting space. The relationships of TRG system with tumor response evaluation by computed tomography (CT), tumor regression score, surgical duration, number of retrieved lymph nodes, number of metastatic lymph nodes, number of enlarged lymph nodes seen in the preoperative CT scans as well as postoperative complications were analyzed using t test, χ² test and logistic regression model.

RESULTSNineteen male and 11 female patients with a mean age of(59.1±9.4) years were enrolled. There were 17 cases of grade 1, 12 cases of grade 2 and 1 case of grade 3 for tissue edema, while the corresponding number was 14, 15 and 1 for intraoperative effusion and 15, 14 and 1 for fibrosis respectively. There were no significant differences among the different degrees of tissue edema, intraoperative effusion and fibrosis in terms of the tumor response evaluation by CT and tumor regression score (all P>0.05). The results of logistics regression showed that tumor response evaluation by CT was related with the degree of tissue edema (P=0.012) and intraoperative effusion (P=0.007), rather than the degree of fibrosis (P=0.527). However, tumor regression score was not related with the degree of tissue edema(P=0.345), intraoperative effusion (P=0.159) and fibrosis (P=0.207). Surgical duration of one case with all grade 3 in tissue edema, intraoperative effusion and fibrosis was 408 minutes, which was longer than those with grade 1 and grade 2 patients [(295.9±40.1) minutes and (293.1±34.3) minutes, respectively]; the number of retrieved lymph nodes, metastatic lymph nodes, and enlarged lymph nodes seen in the preoperative CT scans of this case with all grade 3 were 25, 4 and 1, which were all less than those with grade 1 and grade 2 (42.3±11.9 and 38.5±18.2, 7.3±9.1 and 8.1±9.7, 1.8±1.6 and 2.3±1.3, respectively). There were no significant differences between grade 1 and grade 2 of tissue edema, intraoperative effusion and fibrosis in terms of surgical duration, retrieved lymph nodes, metastatic lymph nodes and enlarged lymph nodes seen in the preoperative CT scans(all P>0.05). Four patients suffered from pulmonary complications and 2 patients experienced slight lymphatic, and all leakage were cured by conservative therapies. There were no significant differences among the different grades of tissue edema, intraoperative effusion and fibrosis in terms of the operation-associated complications (all P>0.05).

CONCLUSIONThe tissue response grading system can assist the judgment of operation difficulty and reflect the effectiveness of neoadjuvant chemotherapy to some extent, which has the possibility of applications.

Aged ; China ; Female ; Humans ; Lymph Node Excision ; Lymph Nodes ; Male ; Middle Aged ; Neoadjuvant Therapy ; Retrospective Studies ; Stomach Neoplasms ; drug therapy ; surgery

OBJECTIVE: To evaluate the rationality and validity of weighted TOPSIS method and weighted RSR method to evaluate drug supervision and supply networks construction in rural areas of Hunan . METHODS: Data of drug network construction in rural Hunan in 2010 were used to establish a comprehensive evaluation model, and weighted TOPSIS and RSR method were applied to this model and the results of which were compared to that of synthetical scored method to examine the validity. RESULTS: A comprehensive evaluation model was established, comprising of 3 primary indices, 8 secondary indices and 56 tertiary ones. The result of weighted RSR method was highly correlated to that of synthetical scored method, yet the result of TOPSIS was less correlated to the formers. All correlations were significant (P<0.01). CONCLUSION Both weighted RSR and TOPSIS are not perfect methods, but the application of the methods in drug network evaluation is scientific and effective.
China ; Computing Methodologies ; Decision Support Techniques ; Fees and Charges ; Models, Theoretical ; Pharmaceutical Preparations ; standards ; supply & distribution ; Rural Health Services