Objective:To analyze the current situation of medical consumables management policy in China,and to provide a reference for the refined management of medical consumables.Methods:Through the policy triangle model and policy tool theory,it comprehensively analyzes the reimbursement medical consumables catalogue and payment management policy of medical insurance in China,covering the policy background,content,process,and participant dimensions.Results:The use frequency of medical consumables policy tools is not balanced,the payment management rules need to be refined,and the participation of multi-stakeholders such as patients is lacking.Conclusion:It is necessary to further strengthen the foundational management of reimbursement medical consumables catalogue,improve the access mechanism of medical consumables for medical insurance,and explore the formulation of categorized payment standards and innovative payment mechanisms.

Objective:To analyze the current situation of medical consumables management policy in China,and to provide a reference for the refined management of medical consumables.Methods:Through the policy triangle model and policy tool theory,it comprehensively analyzes the reimbursement medical consumables catalogue and payment management policy of medical insurance in China,covering the policy background,content,process,and participant dimensions.Results:The use frequency of medical consumables policy tools is not balanced,the payment management rules need to be refined,and the participation of multi-stakeholders such as patients is lacking.Conclusion:It is necessary to further strengthen the foundational management of reimbursement medical consumables catalogue,improve the access mechanism of medical consumables for medical insurance,and explore the formulation of categorized payment standards and innovative payment mechanisms.

Objective To investigate the distribution and antimicrobial resistance of bacterial isolates from blood samples in the hospitals participating in China Antimicrobial Surveillance Network (CHINET) from 2015 to 2021.Methods Bacterial strains isolated from blood samples were collected from 52 medical centers participating in CHINET from 2015 to 2021 for analysis of bacetrial distribution and antimicrobial resistance.Results A total of 153591 isolates were collected,48.8％ of which were gram-positive bacteria and 51.2％ were gram-negative bacteria.The top five bacterial strains were coagulase negative Staphylococcus (28.2％),Escherichia coli (20.7％),Klebsiella (13.7％),Enterococcus (7.2％),and Staphylococcus aureus (6.6％).Compard to female patients,male patients showed lower proportion of E.coli and higher proportions of other bacterial species in all the bacterial isolaets from blood samples.The proportions of Streptococcus pneumoniae and Salmonella in all the bacterial isolaets from blood samples were higher in children compared to adults.Enterobacterales species showed various resistance rates to antimicrobial agents.Overall,≥58.0％,≥36.8％ and ≥56.8％ of E.coli strains were resistant to cefotaxime,gentamicin and levofloxacin respectively over the 7-year period.However,less than 2.5％ of the E.coli strains were resistant to carbapenems.K.pneumoniae showed higher resistance rates to imipenem and meropenem than other Enterobacterales species.During the 7-year period,the prevalence of imipenem-resistant and meropenem-resistant K.pneumoniae increased from 21.4％ and 19.9％ in 2015 to 25.7％ and 26.6％ in 2021,respectively.However,carbapenems still maintained good antibacterial activity against other Enterobacterales,associaetd with lower resistance rates.In the 7-year period,Acinetobacter baumannii showed a dwonward trend in the resistance rates to imipenem and meropenem,but remained 72.9％ and 73.2％ respectively in 2021.The prevalence of imipenem-resistant and meropenem-resistant P.aeruginosa decreased from 26.7％ and 22.9％ in 2015 to 18.5％ and 14.7％ in 2021,respectively.The prevalence of PRSP was 1.5％ in the isolaets from adults and and 0.8％ in the isolates from children.Less than 3.0％ of the Enterococcus faecium and Enterococcus faecalis strains were resistant to vancomycin,teicolanin,or linezolid.The prevalence of methicillin-resistant S.aureus (MRSA) and coagulase negative Staphylococcus (MRCNS) was 32.1％ and 81.0％,respectively.The prevalence of MRSA was relatively stable,28.5％ in 2015 and 28.0％ in 2021.Conclusions Coagulase negative Staphylococcus,E.coli and K.pneumoniae were the main bacterial species isolated from blood samples in the hospitals participaing in the CHINET from 2015 to 2021.Significant sex and age differences were found in the distribution of bcterial isolates from blood samples.The overall resistance rates of the top bacetrial strains from blood samples to antimicrobial agents showed a downward trend.Ongoing surveillance of antimicrobial resistance for the isolates from blood samples is still essential for prescribing rational antimicrobial therapies and curbing bacterial resistance.

Objective To investigate the distribution and antimicrobial resistance of bacterial isolates from blood samples in the hospitals participating in China Antimicrobial Surveillance Network (CHINET) from 2015 to 2021.Methods Bacterial strains isolated from blood samples were collected from 52 medical centers participating in CHINET from 2015 to 2021 for analysis of bacetrial distribution and antimicrobial resistance.Results A total of 153591 isolates were collected,48.8％ of which were gram-positive bacteria and 51.2％ were gram-negative bacteria.The top five bacterial strains were coagulase negative Staphylococcus (28.2％),Escherichia coli (20.7％),Klebsiella (13.7％),Enterococcus (7.2％),and Staphylococcus aureus (6.6％).Compard to female patients,male patients showed lower proportion of E.coli and higher proportions of other bacterial species in all the bacterial isolaets from blood samples.The proportions of Streptococcus pneumoniae and Salmonella in all the bacterial isolaets from blood samples were higher in children compared to adults.Enterobacterales species showed various resistance rates to antimicrobial agents.Overall,≥58.0％,≥36.8％ and ≥56.8％ of E.coli strains were resistant to cefotaxime,gentamicin and levofloxacin respectively over the 7-year period.However,less than 2.5％ of the E.coli strains were resistant to carbapenems.K.pneumoniae showed higher resistance rates to imipenem and meropenem than other Enterobacterales species.During the 7-year period,the prevalence of imipenem-resistant and meropenem-resistant K.pneumoniae increased from 21.4％ and 19.9％ in 2015 to 25.7％ and 26.6％ in 2021,respectively.However,carbapenems still maintained good antibacterial activity against other Enterobacterales,associaetd with lower resistance rates.In the 7-year period,Acinetobacter baumannii showed a dwonward trend in the resistance rates to imipenem and meropenem,but remained 72.9％ and 73.2％ respectively in 2021.The prevalence of imipenem-resistant and meropenem-resistant P.aeruginosa decreased from 26.7％ and 22.9％ in 2015 to 18.5％ and 14.7％ in 2021,respectively.The prevalence of PRSP was 1.5％ in the isolaets from adults and and 0.8％ in the isolates from children.Less than 3.0％ of the Enterococcus faecium and Enterococcus faecalis strains were resistant to vancomycin,teicolanin,or linezolid.The prevalence of methicillin-resistant S.aureus (MRSA) and coagulase negative Staphylococcus (MRCNS) was 32.1％ and 81.0％,respectively.The prevalence of MRSA was relatively stable,28.5％ in 2015 and 28.0％ in 2021.Conclusions Coagulase negative Staphylococcus,E.coli and K.pneumoniae were the main bacterial species isolated from blood samples in the hospitals participaing in the CHINET from 2015 to 2021.Significant sex and age differences were found in the distribution of bcterial isolates from blood samples.The overall resistance rates of the top bacetrial strains from blood samples to antimicrobial agents showed a downward trend.Ongoing surveillance of antimicrobial resistance for the isolates from blood samples is still essential for prescribing rational antimicrobial therapies and curbing bacterial resistance.

Neuromuscular diseases refer to a class of congenital or acquired diseases mainly involving the spinal cord anterior horn motor cells, peripheral nerves, neuromuscular junction and skeletal muscle.The common symptoms and signs include respiratory failure, skeletal malformations, joint contracture, gait abnormalities and movement disorders, and so on.Children in PICU are in more critical conditions.Early systematic, standardized and individualized rehabilitation training can promote the recovery of neuromuscular function, prevent or reduce complications, reduce the incidence and severity of late limb dysfunction, as well as improve the long-term quality of life of children.This review summarized the rehabilitation training of children with neuromuscular disease in PICU.

Objective:To investigate the factors affecting the effect of periprostatic nerve block (PNB), establish a prediction model of pain degree, and verify the prediction efficiency.Methods:The clinical data of 314 patients who underwent transperineal prostate biopsy in our hospital from June 2022 to January 2023 were retrospectively analyzed. The median age was 71 (65, 76) years, the median prostate-specific antigen (PSA) was 14.6 (10.70, 24.65) ng/ml, and the median puncture needle number was 21 (19, 23) needles, median prostate volume 45.86 (31.52, 67.96) ml, median body mass index (BMI)24.02(22.97, 25.33)kg/m 2, including 109 patients with a history of diabetes, 90 patients with a history of surgery, and 57 patients with a history of severe trauma. The patients were divided into mild pain group (1-3 points), moderate pain group (4-6 points) and severe pain group (7-10 points) according to the intraoperative visual analogue scale (VAS). According to the clinical characteristics, the factors affecting the effect of PNB were analyzed by univariate analysis and multiple ordered logistic regression method. R language was used to construct a nomogram model for predicting PNB effect, receiver operating characteristic (ROC) curve and calibration curve were drawn, and Hosmer-Lemeshow test was carried out to verify the prediction efficiency of the model. Results:The results of univariate analysis showed that 171 patients in the mild pain group had a median age of 71 (65, 75) years, a median PSA14.5 (9.6, 24.6) ng/ml, a median number of puncture needles of 20 (18, 22), and a median prostate volume of 34.94 (26.36, 45.12) ml, median BMI24.17(23.14, 25.79)kg/m 2, including 74 patients with a history of diabetes, 51 patients with a history of surgery, and 40 patients with a history of severe trauma; There were 110 patients in the moderate pain group, the median age was 71 (65, 76) years, the median PSA14.8 (11.03, 24.27) ng/ml, the median number of puncture needles was 23 (20, 24) needles, median prostatic volume 63.24 (49.14, 78.72) ml, median BMI23.91(22.58, 24.88)kg/m 2, including 26 patients with a history of diabetes, 29 patients with a history of surgery, and 10 patients with a history of severe trauma; In the severe pain group, 33 patients had a median age of 73 (67, 78) years, a median PSA14.6 (10.85, 34.80) ng/ml, and a median puncture needle number of 23 (22.5, 24) needles, median prostate volume 70.64 (61.50, 104.51) ml, median BMI24.32(23.00, 26.06)kg/m 2, including 9 patients with a history of diabetes, 10 patients with a history of surgery, and 7 patients with a history of severe trauma. The results of univariate analysis showed that the number of puncture needles ( P<0.01), prostate volume ( P<0.01), history of diabetes ( P=0.002) and history of major trauma ( P= 0.009) were the factors affecting the effect of PNB. Multiple logistic regression analysis showed that puncture needle number ( P=0.009), prostate volume ( P<0.01) and diabetes history ( P=0.041) were independent risk factors for PNB effect. The area under ROC curve (AUC) of the moderate and above pain prediction model was 0.872, P<0.01; the area under ROC curve of the severe pain prediction model was 0.817, P<0.01; the result of Hosmer-Lemeshow test of the moderate and above pain prediction model was χ2=5.001, P=0.757. The results of the severe pain prediction model were χ2=4.452 and P=0.814. The calibration curve was established, which showed that the prediction probability of pain degree was in good agreement with the actual risk. Conclusions:The number of puncture needles, prostate volume and history of diabetes are the risk factors affecting the effect of PNB. The prediction model of PNB effect based on this model can be used to predict the pain degree of patients undergoing prostate biopsy after PNB.

Objective:To explore the feasibility and safety of the clinical application of the diagnosis and treatment mode combining rapid frozen pathological examination of prostate biopsy tissue with radical prostatectomy.Methods:Suspected prostate cancer patients with PSA>10 ng/ml and PI-RADS score ≥4 in, Northern Jiangsu People's Hospital from April to September 2021 were collected. The included patients underwent mpMRI/TRUS image fusion-guided transperineal prostate targeted biopsy with 16G biopsy needle, 2-3 needles for biopsy, and rapid frozen pathological examination. Robot-assisted laparoscopic radical prostatectomy (RALP) was performed immediately for patients with prostate cancer with rapid freezing pathology. For undiagnosed prostate cancer, 18G biopsy needle for prostate targeted + systematic biopsy were used, 18-22 needles for systematic biopsy, and routine pathological examination. The baseline data, frozen pathological results, perioperative conditions, pathological results and follow-up data of all patients were collected.Results:Eleven patients were included in the study, the mean age of the patients was 69.9(66-73) years, the mean BMI was 22.8(19-26) kg/m 2, the mean PSA was 23.2(14.25-32.00), the mean prostate volume was 45(32-52) ml, mean PSAD 0.54(0.33-0.75). PI-RADS score was 4 in 3 cases and 5 in 8 cases; digital rectal examination was positive in 5 cases. All 11 cases underwent rapid freezing and the pathological results showed that: 9 cases were prostate adenocarcinoma, and RALP was performed immediately. The operation time was 111.5(96-126) min, the intraoperative blood loss was 78.9(55-105) ml, and the postoperative extubation time was 4.3(3.5-5.0) days, postoperative hospital stay 5.8(5.0-6.5) days. Postoperative pathology showed that Gleason score 3+ 4=7 in 1 case, 4+ 3=7 in 3 cases, 8 points in 4 cases, and 10 points in 1 case; 3 cases had positive resection margins, and 1 case had seminal vesicle invasion, the average number of dissected lymph nodes was 10.9 (8.5-14.0), and there was no tumor metastasis. Pathological T staging included 2 cases of T 2b stage, 5 cases of T 2c stage, 1 case of T 3a stage, and 1 case of T 3b stage. Two patients were undiagnosed by rapid freezing pathology, of which one was prostate adenocarcinoma with a Gleason score of 4+ 3=7, and then received RALP; the other one was prostate inflammation. 11 patients were followed up; the postoperative follow-up time was 3-7 months, with an average of 5.2 months. Among the 10 patients who underwent RALP, 8 patients recovered urinary continence 2 weeks after surgery, and all recovered within 2 months after surgery. Three patients with positive surgical margins were given regular androgen deprivation therapy in the second week after surgery. PSA did not drop below 0.1 ng/ml in patients with positive margins and seminal vesicle invasion 3 months after surgery. No complications of Clavien grade Ⅰ or higher occurred after operation and during follow-up. Conclusions:For patients with high suspicion of prostate cancer, rapid frozen pathological examination of prostate biopsy tissue is performed. RALP is performed immediately for patients with prostate cancer. The results show that this diagnosis and treatment model could be safe and feasible.

Accurately predicting the risk of mediastinal lymph node metastasis before surgery is of great significance for tumor staging, treatment plan decision, and prognosis evaluation in patients with non-small cell lung cancer(NSCLC). Traditional imaging methods such as CT, MRI and PET/CT are currently the most commonly used clinical methods in clinical evaluation of lymph node status. However, it is subjective to judge lymph node metastasis only by the change of image morphological characteristics, and inflammatory lymphadenopathy will also lead to a high false positive rate. The clinicopathological characteristics obtained by analyzing the clinical data of patients with NSCLC can improve the accuracy of lymph node metastasis prediction to a certain extent. The clinical prediction model based on medical images combined with the clinical characteristics of patients can provide more intuitive and rational information for doctors and patients, but the performance and applicability of the model will inevitably decrease due to changes in disease risk factors and treatment measures. In recent years, with the significant improvement of image analysis technology and computing ability, radiomics models based on medical images can deeply dig into the data in radiological images for quantitative analysis, providing new ideas for predicting mediastinal lymph node metastasis in NSCLC patients, which has attracted extensive attention at home and abroad. This article reviews the progress and makes prospects of the above methods in the prediction of mediastinal lymph node metastasis in NSCLC.

The present study retrospectively analyzed the clinical data of 137 patients who underwent prostate in North Jiangsu People's Hospital from June 2020 to May 2021. All patients underwent peripheral prostatic nerve block anesthesia (PPNB). The observation group received 1% ropivacaine 32 ml local, and the control group received the same dose of lidocaine. There was no significant difference in general data before puncture between the two groups ( P>0.05). All 137 cases were performed by the same surgeon. The number of puncture needles in the observation group and the control group was (20.2±2.8) and (20.2±2.9), respectively, and the difference was not statistically significant ( P>0.05). The visual analogue scores (VAS-1) of pain during puncture in the observation group and the control group were (2.62±0.74) and (2.48±0.79) points, respectively. The visual numeric score (VNS-1) was (3.03±0.88) points and (3.15±0.80) points, respectively, and there was no significant difference ( P>0.05). 30 min after puncture, VAS-2 was (0.48±0.53) points and (0.30±0.47) points, VNS-2 was (3.31±0.48) points and (3.55±0.71) points, respectively.The differences were statistically significant ( P<0.05). There was no significant difference in overall complication rate between the two groups ( P=0.661).

Microglia play a pivotal role in clearance of Aβ by degrading them in lysosomes, countering amyloid plaque pathogenesis in Alzheimer's disease (AD). Recent evidence suggests that lysosomal dysfunction leads to insufficient elimination of toxic protein aggregates. We tested whether enhancing lysosomal function with transcription factor EB (TFEB), an essential regulator modulating lysosomal pathways, would promote Aβ clearance in microglia. Here we show that microglial expression of TFEB facilitates fibrillar Aβ (fAβ) degradation and reduces deposited amyloid plaques, which are further enhanced by deacetylation of TFEB. Using mass spectrometry analysis, we firstly confirmed acetylation as a previously unreported modification of TFEB and found that SIRT1 directly interacted with and deacetylated TFEB at lysine residue 116. Subsequently, SIRT1 overexpression enhanced lysosomal function and fAβ degradation by upregulating transcriptional levels of TFEB downstream targets, which could be inhibited when TFEB was knocked down. Furthermore, overexpression of deacetylated TFEB at K116R mutant in microglia accelerated intracellular fAβ degradation by stimulating lysosomal biogenesis and greatly reduced the deposited amyloid plaques in the brain slices of APP/PS1 transgenic mice. Our findings reveal that deacetylation of TFEB could regulate lysosomal biogenesis and fAβ degradation, making microglial activation of TFEB a possible strategy for attenuating amyloid plaque deposition in AD.
Alzheimer Disease ; metabolism ; pathology ; Amyloid beta-Peptides ; metabolism ; Amyloid beta-Protein Precursor ; genetics ; metabolism ; Animals ; Basic Helix-Loop-Helix Leucine Zipper Transcription Factors ; chemistry ; genetics ; metabolism ; Brain ; metabolism ; Cells, Cultured ; Chloride Channels ; genetics ; metabolism ; Disease Models, Animal ; HEK293 Cells ; Humans ; Lysosomes ; genetics ; metabolism ; Mice ; Mice, Transgenic ; Microglia ; cytology ; metabolism ; Mutagenesis, Site-Directed ; Peptides ; analysis ; chemistry ; Protein Binding ; RNA Interference ; Sirtuin 1 ; antagonists & inhibitors ; genetics ; metabolism