Objective To explore the application value of multimodal monitoring in postoperative evaluation of neurointerventional surgery in patients with acute ischemic stroke.Method A total of 86 patients with acute ischemic stroke who received neurointerventional surgery in the Neurointensive Care Unit of Department of Neurology in Tangshan People's Hospital from December 2021 to December 2022 were selected,and they were randomly divided into the routine group and the multimodal group by 1∶1 ratio,with 43 cases in each group.Patients in the routine group were routinely monitored.Patients in the multimodal group were given non-invasive intracranial pressure monitoring,transcranial Doppler monitoring and electroencephalogram monitoring on the basis of routine monitoring,and the corresponding treatments were adjusted according to the monitoring results.The National Institute of health stroke scale(NIHSS)was used to evaluate the improvement of neurological deficits of patients,and the modified Rankin scale(mRS)score was used to evaluate the 90-day prognosis of patients.The incidence of intracranial hemorrhage within 24 hours,symptomatic intracranial hemorrhage within 24 hours,decompressive craniectomy surgery,and the mortality were recorded to evaluate the prognosis.Results There was no statistically significant difference in age,gender,hypertension history,diabetes history,atrial fibrillation history,smoking history,NIHSS score at admission,mRS score at admission,intravenous thrombolysis ratio,time from onset to vascular opening,postoperative blood flow classification,occlusion site,and TOAST classification of patients between the two groups(P>0.05).The 90-day mRS score of patients in the multimodal group was significantly lower than that in the routine group(P<0.05);The proportion of patients with 90-day mRS score of 4 to 6 points in the multimodal group was significantly lower than that in the routine group(P<0.05);The improvement of NIHSS score from baseline to 14 days of patients in the multimodal group was significantly better than that in the routine group(P<0.05).There was no statistically significant difference in the incidence of intracranial hemorrhage within 24 hours,symptomatic intracranial hemorrhage within 24 hours,decompressive craniectomy surgery,and the 90-day mortality between the two groups(P>0.05).Spearman correlation analysis showed that 90-day mRS score was positively correlated with the change of NIHSS score from baseline to 14 days(r=0.419,P<0.05).Conclusion Multimodal monitoring of patients with acute ischemic stroke undergoing neurointervention surgery,combined with multimodal monitoring indicators to guide clinical individualized treatment can improve the neurological prognosis of patients,reduce the incidence of complications and mortality.

Soluble programmed cell death 1 ligand 1(PD-L1)in the serum includes exosomal,mi-crovesical and secreted forms of PD-L1.Previous studies have shown that the level of exosomal PD-L1 in the serum significantly correlated with the prognosis of various cancers.However,current analysis detects all forms of PD-L1 in the serum as a whole,without distinguishing exosomal PD-L1 from other forms.In this study,a specific detection method for exosomal PD-L1 was established based on surface plasmon res-onance.This method first captures PD-L1 by antibody recognition and immobilizes it on the surface of the detection chip.Then,α-hemolysin was recruited to form multiple oligomers on the exosomal membrane.This method quantifies the content of exosomal PD-L1 by monitoring the signal change during the binding process of α-hemolysin,effectively reducing background noises and amplifying the signal.The linear range before signal amplification with α-hemolysin was 0.035-2.208 pg/mL,and after signal amplifica-tion,it was 0.004-0.552 pg/mL.Methodological validation showed that this method has good specifici-ty,sensitivity,and repeatability,and has certain clinical application prospects.

Objective:To investigate the prognostic value of serum adenosylhomocysteinase (AHCY) in patients with hepatitis E virus acute liver failure (HEV-ALF).Methods:From 1 January 2017 to 31 December 2022, 100 patients each with HEV-ALF and acute hepatitis E (AHE) from the First Affiliated Hospital of Medical School of Zhejiang University and Affiliated Suzhou Hospital of Nanjing Medical University were included in this case-control study. The HEV-ALF group was 58.56±11.16 years old, including 71 men. The AHE group was 56.04±14.30 years old, including 61 men. All serum samples were obtained before the patient had an acute onset and were obtained without treatment. Firstly, the serum AHCY levels in patients with HEV-ALF and AHE were analyzed by ELISA. Secondly, the serum AHCY levels in HEV-ALF patients with different organ failure and disease condition were compared. According to the number of organ failure, 100 HEV-ALF patients were divided into organ failure number=2 group ( n=58), number=3 group ( n=24) and number>3 groups ( n=18). According to the disease condition, 100 patients were divided into improvement group ( n=49), disease fluctuation group ( n=37), and deterioration group ( n=14). Thirdly, the survival times between the high serum AHCY level group ( n=50) and the low serum AHCY level group ( n=50) were compared. Finally, the independent risk factors to predict mortality using the multivariate Logistic regression analysis, and evaluated the predictive and decision-making abilities of serum AHCY levels were explored using the receiver operating characteristic (ROC) curve and decision curve analysis (DCA). Results:Serum AHCY levels in HEV-ALF patients were significantly higher than those in AHE patients [326.92 (295.37-385.84) pg/ml vs. 222.88 (188.04-246.78) pg/ml, Z=-12.217, P<0.001]. Serum AHCY levels in group 2 were significantly lower than those in group 3 [303.44 (284.40-330.15) pg/ml vs. 335.36 (306.30-385.84) pg/ml, Z=-3.353, P=0.001]. Serum AHCY level in group 3 were significantly lowerthan those in group>3 [335.36 (306.30-385.84) pg/ml vs. 549.89 (423.35-660.22) pg/ml, P<0.001]. The serum AHCY levels in the fluctuation group were lower than those in the deterioration group [322.17 (283.92-423.74) pg/ml vs. 458.26 (374.66, 593.89) pg/ml, Z=-4.016, P=0.009]. The survival time of high serum AHCY level group was significantly lower than that of low serum AHCY level group [23.11 (20.25-25.96) days vs. 29.49 (28.79-30.20) days, Z=-2.596, P<0.001]. The multivariate Logistic regression analysis showed that the levels of serum AHCY and total bilirubin were independent risk factors to predict mortality in HEV-ALF patients [AHCY, OR (95% CI): 1.008 (1.002-1.015), P=0.008; total bilirubin, OR (95% CI): 1.011 (1.005-1.018), P=0.001]. Serum AHCY level predicting the area under the curve (AUC) of 30-day mortality in HEV-ALF patients was 0.912, with a sensitivity of 90.00% and a specificity of 93.75%. DCA results demonstrated that serum AHCY level had good decision-making power for predicting 30-day mortality in HEV-ALF patients. Conclusion:Serum AHCY has an important prognostic value for HEV-ALF patients. Higher serum AHCY levels indicate the worse prognosis of HEV-ALF patients.

Objective To propose a Q factor-based fatigue vibration evaluation method of the ultrasonic knife tip.Methods Firstly,an ultrasonic cutter fatigue testing table was established to realize repeated cutting,which was composed of a power supply module,a three-axis moving module,an ultrasonic cutter clamping module and a control module.Secondly,10 ultrasonic knives of some brand underwent fatigue testing with the table,during which non-contact measurement of the ultrasonic knife tip vibration was carried out and the Q factors were calculated at the five periods of the fatigue test,including the periods before cutting,after 500 times of cutting,after 1 000 times of cutting,after 2 000 times of cutting and after 3 000 times of cutting.Finally,the average cutting speed and burst pressure for coagulated vessels were computed at each period to validata the effectiveness of the method proposed.Results It's indicated that Q factor could effectively reflect the fatigue degradation of the ultrasonic knife tip,while the average cutting speed and burst pressure for coagulated vessels were difficult to efficiently evaluate the fatigue degradation level of the ultrasonic knife tip due to the uncertainty factors in the measurement process.Conclusion The proposed Q factor-based evaluation method can directly evaluate fatigue vibration of the ultrasonic knife tip in an accurate and quantitative manner.[Chinese Medical Equipment Journal,2024,45(6):17-22]

Objective To carry out accurate quantative evaluation of MRI scanning noise based on laser vibrometry technology.Methods Skull and spine MRI was performed with mute and conventional sequences.A laser vibrometry device was used to sample the surface vibration noise at the outer edge of the inspection hole of MRI system according to GB/T 16539-1996 Acoustics—Determination of sound power levels of noise sources using vibration velocity—Measurement for seal machinery,and the indicators of sound power level,sound pressure level and perceived noise level obtained by the three calculation methods(LPN1,LPN2 and LPN3)were analyzed with some dedicated MRI noise analysis software.Results The peak sound pressure levels for conventional and mute sequences of skull scanning were 81 and 63 dB(A),respectively,and mute sequence reduced the noise level significantly;the peak sound pressure levels for conventional and mute sequences of spine scanning were 79 and 75 dB(A),respectively,and the noise reduction level was significantly lower than that of skull scanning.Significant differences in noise reduction were not found in spine scanning sequences,while were found in skull scanning sequences.During spine and skull scanning LPN1,LPN2 and LPN3 obtained by the three calculation methods of conventional and mute sequences were all higher than the overall sound power and overall pressure levels obviously.Conclusion Mute sequence can not realize linear noise reduction for the whole frequency band,the perceived noise of the human ear during MRI scanning is related directly to the scanning sequence,and there may be some bias when only one physical indicator is involved in the noise evaluation of MRI system.[Chinese Medical Equipment Journal,2024,45(10):20-24]

Objective To explore the effect of a R language-based autoregressive integrated moving average(ARIMA)model for predicting the consumption of medical consumables.Methods The monthly consumption data of a certain type of pre-filled flush syringe from July 2018 to June 2023 was selected as the sample data,which underwent smoothness test and difference operation with R language.An ARIMA model was established and the optimal model was determined according to the Akaike and Bayesian information criteria.The corresponding data of the third quarter of 2023 was used as the validation set to predict the consumption,and the prediction result was compared with the actual values to evaluate the prediction effect of the ARIMA model.Results The ARIMA model with the best fitting was ARIMA(0,1,1)(1,0,0)12,all the predicted data were within 95％confidence interval,and its mean absolute percentage error MAPE was 9.92％.P-value proved to be higher than 0.05 when the residual series were tested using the Ljung-Box statistics,which meant the prediction result was satisfactory.Conclusion The R language-based ARIMA model behaves well in predicting the consumption of medical consumables,and provides references for demand planning,budgeting,purchasing and management of medical consumables.[Chinese Medical Equipment Journal,2024,45(10):84-87]

Objective To investigate the attributable risk(AR)of Acinetobacter baumannii(AB)infection in criti-cally ill patients.Methods A multicenter retrospective cohort study was conducted among adult patients in inten-sive care unit(ICU).Patients with AB isolated from sterile body fluid and confirmed with AB infection in each cen-ter were selected as the infected group.According to the matching criteria that patients should be from the same pe-riod,in the same ICU,as well as with similar APACHE Ⅱ score(±5 points)and primary diagnosis,patients who did not infect with AB were selected as the non-infected group in a 1:2 ratio.The AR was calculated.Results The in-hospital mortality of patients with AB infection in sterile body fluid was 33.3％,and that of non-infected group was 23.1％,with no statistically significant difference between the two groups(P=0.069).The AR was 10.2％(95％CI:-2.3％-22.8％).There is no statistically significant difference in mortality between non-infected pa-tients and infected patients from whose blood,cerebrospinal fluid and other specimen sources AB were isolated(P＞0.05).After infected with AB,critically ill patients with the major diagnosis of pulmonary infection had the high-est AR.There was no statistically significant difference in mortality between patients in the infected and non-infec-ted groups(P＞0.05),or between other diagnostic classifications.Conclusion The prognosis of AB infection in critically ill patients is highly overestimated,but active healthcare-associated infection control for AB in the ICU should still be carried out.

The assessment of adverse drug events is an important basis for clinical safety evaluation and post-marketing risk control of drugs,and its causality assessment is gaining increasing attention.The existing methods for assessing the causal relationship between drugs and the occurrence of adverse reactions can be broadly classified into three categories:global introspective methods,standardized methods,and probabilistic methods.At present,there is no systematic introduction of the operational details of the various methods in the domestic literature.This paper compares representative causality assessment methods in terms of definition and concept,methodological steps,industry evaluation and advantages and disadvantages,clarifies the basic process of determining the causality of adverse drug reactions,and discusses how to further improve the adverse drug reaction monitoring and evaluation system,with a view to providing a reference for drug development and pharmacovigilance work in China.

ObjectiveThe detection of RNA single nucleotide polymorphism (SNP) is of great importance due to their association with protein expression related to various diseases and drug responses. At present, splintR ligase-assisted methods are important approaches for RNA direct detection, but its specificity will be limited when the fidelity of ligases is not ideal. The aim of this study was to create a method to improve the specificity of splintR ligase for RNA detection. MethodsIn this study, a dual-competitive-padlock-probe (DCPLP) assay without the need for additional enzymes or reactions is proposed to improve specificity of splintR ligase ligation. To verify the method, we employed dual competitive padlock probe-mediated rolling circle amplification (DCPLP-RCA) to genotype the CYP2C9 gene. ResultsThe specificity was well improved through the competition and strand displacement of dual padlock probe, with an 83.26% reduction in nonspecific signal. By detecting synthetic RNA samples, the method demonstrated a dynamic detection range of 10 pmol/L-1 nmol/L. Furthermore, clinical samples were applied to the method to evaluate its performance, and the genotyping results were consistent with those obtained using the qPCR method. ConclusionThis study has successfully established a highly specific direct RNA SNP detection method, and provided a novel avenue for accurate identification of various types of RNAs.

Bacterial biofilms gave rise to persistent infections and multi-organ failure, thereby posing a serious threat to human health. Biofilms were formed by cross-linking of hydrophobic extracellular polymeric substances (EPS), such as proteins, polysaccharides, and eDNA, which were synthesized by bacteria themselves after adhesion and colonization on biological surfaces. They had the characteristics of dense structure, high adhesiveness and low drug permeability, and had been found in many human organs or tissues, such as the brain, heart, liver, spleen, lungs, kidneys, gastrointestinal tract, and skeleton. By releasing pro-inflammatory bacterial metabolites including endotoxins, exotoxins and interleukin, biofilms stimulated the body’s immune system to secrete inflammatory factors. These factors triggered local inflammation and chronic infections. Those were the key reason for the failure of traditional clinical drug therapy for infectious diseases.In order to cope with the increasingly severe drug-resistant infections, it was urgent to develop new therapeutic strategies for bacterial-biofilm eradication and anti-bacterial infections. Based on the nanoscale structure and biocompatible activity, nanobiomaterials had the advantages of specific targeting, intelligent delivery, high drug loading and low toxicity, which could realize efficient intervention and precise treatment of drug-resistant bacterial biofilms. This paper highlighted multiple strategies of biofilms eradication based on nanobiomaterials. For example, nanobiomaterials combined with EPS degrading enzymes could be used for targeted hydrolysis of bacterial biofilms, and effectively increased the drug enrichment within biofilms. By loading quorum sensing inhibitors, nanotechnology was also an effective strategy for eradicating bacterial biofilms and recovering the infectious symptoms. Nanobiomaterials could intervene the bacterial metabolism and break the bacterial survival homeostasis by blocking the uptake of nutrients. Moreover, energy-driven micro-nano robotics had shown excellent performance in active delivery and biofilm eradication. Micro-nano robots could penetrate physiological barriers by exogenous or endogenous driving modes such as by biological or chemical methods, ultrasound, and magnetic field, and deliver drugs to the infection sites accurately. Achieving this using conventional drugs was difficult. Overall, the paper described the biological properties and drug-resistant molecular mechanisms of bacterial biofilms, and highlighted therapeutic strategies from different perspectives by nanobiomaterials, such as dispersing bacterial mature biofilms, blocking quorum sensing, inhibiting bacterial metabolism, and energy driving penetration. In addition, we presented the key challenges still faced by nanobiomaterials in combating bacterial biofilm infections. Firstly, the dense structure of EPS caused biofilms spatial heterogeneity and metabolic heterogeneity, which created exacting requirements for the design, construction and preparation process of nanobiomaterials. Secondly, biofilm disruption carried the risk of spread and infection the pathogenic bacteria, which might lead to other infections. Finally, we emphasized the role of nanobiomaterials in the development trends and translational prospects in biofilm treatment.