[Objective]To explore the cure effect of TCM application on preventing PICC-induced mechanic phlebitis.[Method]Randomly divide 158 cases into observation group(78)and control one(80);for observation group,put in PICC tube for 24h,make preventive TCM application by puncturing vein,for successive 5d;the control group only take PICC;observe the occurrence rate of mechanic phlebitis.[Result]In observation group,the rate was 6.41%,and 17.5% for control group,the observation group was much lower than other group on the incidence rate.[Conclusion]PICC duct-setting preventive TCM application can effectively reduce incidence rate of mechanic phlebitis.

Objective To explore the cause and the interventional treatment of restenosis after percutaneous transhepatic biliary stent.Methods 20 patients with biliary restenosis after percutaneous transhepatic biliary stent placement were collected.According to drainage volume from biliary tract and degree of amelioration of jaundice,post-operation hepatic function,blood,urine and stool routines,ultrasound,CT scan and cholangiography were performed to determine the nature and location of biliary restenosis,and then all cases underwent recanalization with intervention method by the exteriorized drainage tube approach.The China-made nickel-titanium alloy stents with diameter of 10 mm and length ranged from 40 mm to 80 mm were used.Results The biliary restenosis occurred in mid-inferior segment of common bile duct in 9 patients, common hepatic duct in 7 patients and hepatic porta in 4 patients. As regarding the causes of restenosis included tumor compression in 9 cases, angulation in upper segment of stent in 3 cases, obstruction in stent by bile, food or clot in 4 cases, cholangitic stenosis in 2 cases and granulation proliferation in 2 cases.The obstruction in all cases was relived by extraction through drainage tube, drug irrigation,dredging by wire, balloon dialtion or stent replacement, so that the total survival rate was beyond 6 months.Conclusion After percutaneous transhepatic biliary stent placement in treating the malignant biliary obstruction,the rate of biliary restenosis is still high,which should be attached importance to.

Objective:To investigate the value of nomogram predictive model established by the risk factors of upper extremity venous thrombosis risk associated with peripherally venous inserted central catheter (PICC) in cancer patients.Methods:A total of 1 032 patients who underwent PICC insertion between January 2016 and March 2017 in Zhejiang Cancer Hospital were selected by using prospective cohort study and convenience sampling. Risk factors of upper extremity venous thrombosis risk associated with PICC in cancer patients were evaluated by using Cox regression model. The nomogram predictive model of upper extremity venous thrombosis risk associated with PICC insertion was constructed. Bootstrap method was used to complete the inside check, and figure calibration was used to verify the nomogram.Results:A multivariate Cox regression analysis showed that trombosis history ( HR = 27.82, 95% CI 8.17-94.88, P < 0.01) and hyperlipidemia ( HR = 3.01, 95% CI 1.31-6.93, P = 0.009) were independent risk factors for upper extremity venous thrombosis associated with PICC. The nomogram model C-index was 0.71 (95% CI 0.63-0.80) based on the above risk factors, which indicated that the nomogram had a good differentiation. The calibration curve for predicting the probability of upper extremity venous thrombosis risk associated with PICC within one week, two weeks and one month deviated slightly from the standard curve, suggesting that the model might overestimate the risk of upper extremity venous thrombosis associated with PICC in cancer patients. Conclusions:The nomogram model has a good predictive value and strong operability, which can be used to predict the probability of upper extremity venous thrombosis associated with PICC in cancer patients after PICC insertion. It can provide a reference for identifying the high-risk cancer patients and formulating proper therapeutic strategies.

Objective To delve into the causal relationship between 211 gut microbiota and sepsis employing bidirectional Mendelian randomization(MR).Methods The gut microbiota genome-wide association study(GWAS)data from the Microbiome Genetics Consortium(MiBioGen,n = 18 340)and sepsis GWAS data from the FinnGen(n = 286 146)were harnessed for this study.Initially,single nucleotide polymorphisms(SNP)significantly associated with the relative abundance of 211 gut microbiota taxa were identified as instrumental variables using predefined selection criteria.The primary analytical approach was characterized by the application of inverse variance weighting(IVW),with the effect measure represented by the odds ratio(OR)to assess the results of MR.To ensure precision and reliability,analyses were conducted,including leave-one-out analysis,heterogeneity testing,and tests for pleiotropy at both coherent and incoherent levels.Results The increased risk of sepsis was associated with the elevated abundance of Collinsella[OR = 1.28,95%confidence interval(95%CI)was 1.06-1.56,P = 0.01]and Ruminococcus(OR = 1.19,95%CI was 1.05-1.35,P = 0.005).Furthermore,a protective effect against the development of sepsis was observed in association with the increased abundance of Prevotella(OR = 0.88,95%CI was 0.79-0.97,P = 0.01)and Firmicutes(OR = 0.86,95%CI was 0.75-0.996,P = 0.04).No obvious heterogeneity and irrelevant level pleiotropy were detected.Conclusion Collinsella and Ruminococcus increase the risk of sepsis,while Prevotella and Firmicutes have protective effects against sepsis.

Objective:To evaluate the feasibility of 8E5 cells and CD19-CAR-Jurkat cells used as reference cells in the detection of lentiviral vector integration sites with different methods.Methods:Single clones of 8E5 cells and CD19-CAR-Jurkat cells were selected using limiting dilution method. Digital PCR was established to detect the copy number of HIV-1 in 8E5 cells and the copy number of CAR in CD19-CAR-Jurkat cells. High-throughput sequencing techniques (whole-genome resequencing, modified genome sequencing and probe hybridization capture) were used to detect integration sites in 8E5 cells and CD19-CAR-Jurkat cells, and optical genome mapping (OGM) technology was used for further confirmation.Results:Three clones of 8E5-D8 cells and six clones of CD19-CAR-Jurkat 2-6 cells were selected using the limiting dilution method. 8E5-D8 and CD19-CAR-Jurkat 2-6 were chosen as candidate cells based on their gene copy numbers detected by digital PCR and flow cytometry. These cells were then expanded and cryopreserved. Digital PCR showed that 8E5-D8 cells contained approximately 1 copy per cell, while CD19-CAR-Jurkat 2-6 cells contained approximately 13 copies per cell. High-throughput sequencing revealed one integration site in 8E5 cells and 13 integration sites in CD19-CAR-Jurkat cells, which matched the copy number detection results. All these integration sites were further confirmed at the submicroscopic level of chromosomes using OGM.Conclusions:Based on the insertion copy numbers and integration sites, 8E5-D8 cells and CD19-CAR-Jurkat 2-6 cells could be used as reference cells in further development of methods for detecting integration sites in CAR-T cell lentiviral vectors.

With the recent ongoing autumn/winter 2022 COVID-19 wave and the adjustment of public health control measures, there have been widespread SARS-CoV-2 infections in Chinese mainland. Here we have analyzed 369 viral genomes from recently diagnosed COVID-19 patients in Shanghai, identifying a large number of sublineages of the SARS-CoV-2 Omicron family. Phylogenetic analysis, coupled with contact history tracing, revealed simultaneous community transmission of two Omicron sublineages dominating the infections in some areas of China (BA.5.2 mainly in Guangzhou and Shanghai, and BF.7 mainly in Beijing) and two highly infectious sublineages recently imported from abroad (XBB and BQ.1). Publicly available data from August 31 to November 29, 2022 indicated an overall severe/critical case rate of 0.035% nationwide, while analysis of 5706 symptomatic patients treated at the Shanghai Public Health Center between September 1 and December 26, 2022 showed that 20 cases (0.35%) without comorbidities progressed into severe/critical conditions and 153 cases (2.68%) with COVID-19-exacerbated comorbidities progressed into severe/critical conditions. These observations shall alert healthcare providers to place more resources for the treatment of severe/critical cases. Furthermore, mathematical modeling predicts this autumn/winter wave might pass through major cities in China by the end of the year, whereas some middle and western provinces and rural areas would be hit by the upcoming infection wave in mid-to-late January 2023, and the duration and magnitude of upcoming outbreak could be dramatically enhanced by the extensive travels during the Spring Festival (January 21, 2023). Altogether, these preliminary data highlight the needs to allocate resources to early diagnosis and effective treatment of severe cases and the protection of vulnerable population, especially in the rural areas, to ensure the country's smooth exit from the ongoing pandemic and accelerate socio-economic recovery.