Objective To understand the change in distribution and antimicrobial resistance of bacteria isolated from blood specimens of Hunan Province,and provide for the initial diagnosis and treatment of clinical bloodstream infection(BSI).Methods Data reported from member units of Hunan Province Antimicrobial Resistance Survei-llance System from 2012 to 2021 were collected.Bacterial antimicrobial resistance surveillance method was imple-mented according to the technical scheme of China Antimicrobial Resistance Surveillance System(CARSS).Bacteria from blood specimens and bacterial antimicrobial susceptibility testing results were analyzed by WHONET 5.6 soft-ware and SPSS 27.0 software.Results A total of 207 054 bacterial strains were isolated from blood specimens from member units in Hunan Province Antimicrobial Resistance Surveillance System from 2012 to 2021,including 107 135(51.7％)Gram-positive bacteria and 99 919(48.3％)Gram-negative bacteria.There was no change in the top 6 pathogenic bacteria from 2012 to 2021,with Escherichia coli(n=51 537,24.9％)ranking first,followed by Staphylococcus epidermidis(n=29 115,14.1％),Staphylococcus aureus(n=17 402,8.4％),Klebsiella pneu-moniae(17 325,8.4％),Pseudomonas aeruginosa(n=4 010,1.9％)and Acinetobacter baumannii(n=3 598,1.7％).The detection rate of methicillin-resistant Staphylococcus aureus(MRSA)decreased from 30.3％in 2015 to 20.7％in 2021,while the detection rate of methicillin-resistant coagulase-negative Staphylococcus(MRCNS)showed an upward trend year by year(57.9％-66.8％).No Staphylococcus was found to be resistant to vancomy-cin,linezolid,and teicoplanin.Among Gram-negative bacteria,constituent ratios of Escherichia coli and Klebsiella pneumoniae were 43.9％-53.9％and 14.2％-19.5％,respectively,both showing an upward trend(both P＜0.001).Constituent ratios of Pseudomonas aeruginosa and Acinetobacter baumannii were 3.6％-5.1％and 3.0％-4.5％,respectively,both showing a downward trend year by year(both P＜0.001).From 2012 to 2021,resistance rates of Escherichia coli to imipenem and ertapenem were 1.0％-2.0％and 0.6％-1.1％,respectively;presenting a downward trend(P＜0.001).The resistant rates of Klebsiella pneumoniae to meropenem and ertapenem were 7.4％-13.7％and 4.8％-6.4％,respectively,presenting a downward trend(both P＜0.001).The resistance rates of Pseudomonas aeruginosa and Acinetobacter baumannii to carbapenem antibiotics were 7.1％-15.6％and 34.7％-45.7％,respectively.The trend of resistance to carbapenem antibiotics was relatively stable,but has de-creased compared with 2012-2016.The resistance rates of Escherichia coli to the third-generation cephalosporins from 2012 to 2021 were 41.0％-65.4％,showing a downward trend year by year.Conclusion The constituent ra-tio of Gram-negative bacillus from blood specimens in Hunan Province has been increasing year by year,while the detection rate of carbapenem-resistant Gram-negative bacillus remained relatively stable in the past 5 years,and the detection rate of coagulase-negative Staphylococcus has shown a downward trend.

Objective To evaluate the effects of various polysorbates(PS)on the stability of different types of monoclonal antibody(mAb)drugs.Methods Three types of monoclonal antibodies mAbA(IgG1 proantibody drug),mAbB(IgG1 mAb)and mAbC(IgG1 mAb with Fc N297A mutation)were used as model proteins,and different kinds or contents of PS were added into the mAb formulations respectively to investigate the influencing factors.The effects of PS on the stability of mAb drugs were evaluated comprehensively by detecting the changes of quality attributes,such as protein aggregates and insoluble particles.Results PS20 and PS80 showed no significant difference in inhibiting the formation of aggregates and charge variants in the three mAbs(P>0.05),while the addition of PS80 in mAbB and PS20 in mAbC significantly inhibited the increase of insoluble particles respectively(P<0.05);The content of PS20 showed a significant effect on the detection indexes of charge variants and insoluble particles in mAbC(P<0.05).Conclusion Different types of mAbs have different sensitivities to various kinds and contents of PS.Therefore,when designing the formulation of mAbs,it is necessary to select appropriate kinds and contents of PS to further improve the stability of mAb drugs.

Background: and Purpose The relationships among interleukin (IL)-10 levels, anxiety, and cognitive status after stroke remain controversial. We aimed to determine the associations of serum IL-10 levels with poststroke anxiety (PSA) and poststroke cognitive impairment (PSCI). Methods: We recruited 350 patients with stroke, of whom only 151 completed a 1-month follow-up assessment. The Mini Mental State Examination (MMSE) and Hamilton Anxiety Scale (HAMA) were used to assess the cognitive status and anxiety, respectively. Serum IL-10 levels were measured within 24 hours of admission. Results: IL-10 levels were significantly lower in the PSA group than in the non-PSA group, and they were negatively associated with HAMA scores (r=-0.371, p<0.001). After adjusting for all potential confounders, IL-10 levels remained an independent predictor of PSA (odds ratio=0.471, 95% confidence interval=0.237–0.936, p=0.032). IL-10 levels were strongly correlated with behavior during interviews, psychic anxiety, and somatic anxiety. Patients without PSCI had higher IL-10 levels were higher in non-PSCI patients than in PSCI patients, and they were positively associated with MMSE scores in the bivariate correlation analysis (r=0.169, p=0.038), and also with memory capacity, naming ability, and copying capacity.However, IL-10 did not predict PSCI in the univariable or multivariable logistic regression. Conclusions Low IL-10 levels were associated with increased risks of PSA and PSCI at a 1-month follow-up after stroke. Serum IL-10 levels may therefore be helpful in predicting PSA.

OBJECTIVE: To evaluate the associations of lipid indicators and mortality in Beijing Elderly Comprehensive Health Cohort Study. METHODS: A prospective cohort was conducted based on Beijing Elderly Comprehensive Health Cohort Study with 4499 community older adults. After the baseline survey, the last follow-up was March 31, 2021 with an average 8.13 years of follow-up. Cox proportional hazard model was used to estimate the hazard ratios (HR) with 95% CI for cardiovascular disease (CVD) death and all-cause death in associations with baseline lipid indicators. RESULTS: A total of 4499 participants were recruited, and the mean levels of uric acid, body mass index, systolic blood pressure, diastolic blood pressure, fasting plasma glucose, total cholesterol (TC), triglyceride, and low-density lipoprotein cholesterol (LDL-C) showed an upward trend with the increasing remnant cholesterol (RC) quarters (P_trend < 0.05), while the downward trend was found in high-density lipoprotein cholesterol (HDL-C). During the total 36,596 person-years follow-up, the CVD mortality and all-cause mortality during an average 8.13 years of follow-up was 3.87% (95% CI: 3.30%-4.43%) and 14.83% (95% CI: 13.79%-15.86%) with 174 CVD death participants and 667 all-cause death participants. After adjusting for confounders, the higher level of TC (HR = 0.854, 95% CI: 0.730-0.997), LDL-C (HR = 0.817, 95% CI: 0.680-0.982) and HDL-C (HR = 0.443, 95% CI: 0.271-0.724) were associated with lower risk of CVD death, and the higher level of HDL-C (HR = 0.637, 95% CI: 0.501-0.810) were associated with lower risk of all-cause death. The higher level of RC (HR = 1.276, 95% CI: 1.010-1.613) increase the risk of CVD death. Compared with the normal lipid group, TC ≥ 6.20 mmol/L group and LDL-C ≥ 4.10 mmol/L group were no longer associated with lower risk of CVD death, while RC ≥ 0.80 mmol/L group was still associated with higher risk of CVD death. In normal lipid group, the higher levels of TC, LDL-C and HDL-C were related with lower CVD death. CONCLUSIONS In community older adults, higher levels of TC and HDL-C were associated with lower CVD mortality in normal lipid reference range. Higher RC was associated with higher CVD mortality, which may be a better lipid indicator for estimating the CVD death risk in older adults.

【Objective】 To analyze the basic characteristics of whole blood donors from blood stations before and after the outbreak of COVID-19. 【Methods】 After excluding invalid data, data related to the basic characteristics of whole blood donors collected from 26 blood stations in China during 2018 to 2021 were statistically analyzed, including the trend of total whole blood donors, the number of repeated blood donors, the frequency of blood donation, the average age of donors and the recruitment of first-time blood donors. 【Results】 Affected by the epidemic, 8 out of 14 indicators were with large variations, accounting for 57%. The overall growth rate of total whole blood donors during the epidemic was higher than before the epidemic (P<0.05).The number of repeated blood donors has shown an increased trend, with a higher number during the epidemic than before (P<0.05). The frequency of blood donation was lower during the epidemic than before(P<0.05).Average ages of blood donors and female blood donors fluctuated widely during the epidemic, both higher than those before the epidemic(P<0.05).The donation rate of first-time blood donors <25 years old and ≥25 years old varied widely and irregularly during the epidemic (both P<0.05). The percentage of first-time blood donors fluctuated irregularly during the epidemic, with overall percentage lower than that before the epidemic(P<0.05). 【Conclusion】 Whole blood donors from 26 blood stations increased after the outbreak of COVID-19, and some indicators in certain areas showed significant fluctuations during the epidemic.

OBJECTIVE: To analyze the report status of outcomes and measurement instruments of randomized controlled trials (RCTs) of acupuncture for post-stroke dysphagia, so as to provide a basis for designing clinical trials and developing the core outcome set in acupuncture for post-stroke dysphagia. METHODS: RCTs of acupuncture for post-stroke dysphagia were searched in databases i.e. CNKI, SinoMed, Wanfang, PubMed, EMbase, Web of Science and clinical trial registries i.e. ClinicalTrials.gov and Chinese Clinical Trial Registry (ChiCTR), from January 1st, 2012 to October 30th, 2021. By literature screening and data extraction, outcomes and measurement instruments were summarized and analyzed. RESULTS: A total of 172 trials (including 165 RCTs and 7 ongoing trials registrations) were included, involving 91 outcomes. The outcomes could be classified into 7 domains according to functional attributes, namely clinical manifestation, physical and chemical examination, quality of life, TCM symptoms/syndromes, long-term prognosis, safety assessment and economic evaluation. It was found that there were various measurements instruments with large differences, inconsistent measurement time point and without discriminatively reporting primary or secondary outcomes. CONCLUSION The status quo of outcomes and measurement instruments of RCTs of acupuncture for post-stroke dysphagia is not conducive to the summary and comparison of each trial's results. Thus, it is suggested to develop a core outcome set for acupuncture for post-stroke dysphagia to improve the normative and research quality of their clinical trial design.
Humans ; Deglutition Disorders/therapy* ; Randomized Controlled Trials as Topic ; Acupuncture Therapy ; Databases, Factual ; Physical Examination ; Stroke/complications*

Objective To develop an intelligent positioning system for mobile medical equipment in the operating room based on Bluetooth technology to enhance medical equipment management efficiency.Methods The intelligent positioning system for mobile medical equipment used received signal strength indication(RSSI)algorithm and multi-gateway trajectory filtering algorithm to realize Bluetooth positioning,which was composed of Bluetooth gateways,Bluetooth beacons,Bluetooth labels and a background data processing platform.The Bluetooth gateway consisted of an active power over ethernet(POE)module,a DC power module,a CPU,a Wi-Fi module and a Bluetooth module;the Bluetooth beacon included a beacon control unit,a Bluetooth transmitter module and a Bluetooth receiver module;the Bluetooth label was made up of a microcontroller unit(MCU),a Bluetooth module,an anti-temper switch and a accelerometer;the data processing platform had the front end developed with Vue architecture and the back end with Java language.Results The system developed could accurately locate the medical equipment in the operating room without electromagnetic interference to other medical devices.Conclusion The system developed gains advantages in high positioning accuracy,low electromagnetic interference,high stability and reliability and low cost,which improves the positioning and management efficiency of medical equipment under the premise of ensuring safety.[Chinese Medical Equipment Journal,2023,44(9):29-32]

Objective:To establish a machine learning model for the diagnosis of clinically significant prostate cancer based on transrectal contrast-enhanced ultrasound parameters and clinically relevant data.Methods:A retrospective analysis was performed on 151 patients in Chongqing University Cancer Hospital who underwent transrectal contrast-enhanced ultrasonography and transrectal ultrasound-guided needle biopsy from November 2018 to September 2021. The time intensity curve was drawn using VueBox software and 12 parameters such as rise time, peak time, average transit time, peak intensity, and rising slope were quantitatively analyzed. Age, total prostate-specific antigen, free prostate-specific antigen, free prostate-specific antigen ratio, volume, prostate-specific antigen density, and transrectal contrast-enhanced ultrasonography parameters, a total of 18 characteristic parameters, were analyzed and screened through relevant attribute values and information gain attribute values. The screening features were trained and tested by the machine learning single algorithm and integrated algorithm, and then the model was evaluated by the F1 value and the area under the ROC curve(AUC).Results:Using the related attribute value and the information gain attribute value, 12 variables and 5 variables were screened out respectively to establish a machine learning model. The model established by the ensemble algorithm was better than the single algorithm. For the two variable selection methods, the AUC (0.810 vs 0.789) and F1 values (0.748 vs 0.742) of the Bagging ensemble algorithm model, which basic algorithm was decision tree, were the highest, followed by Logistic regression and support vector machine(SVM) in order of AUC and F1 values.Conclusions:Based on transrectal contrast-enhanced ultrasound parameters and clinical data, the Bagging ensemble model based on decision tree has the best performance in diagnosing clinically significant prostate cancer.

Objective:To compare the differences in the prevalence of mild micro-hepatic encephalopathy (MHE) among patients with cirrhosis by using the psychometric hepatic encephalopathy score (PHES) and the Stroop smartphone application (Encephal App) test.Methods:This prospective, multi-center, real-world study was initiated by the National Clinical Medical Research Center for Infectious Diseases and the Portal Hypertension Alliance and registered with International ClinicalTrials.gov (NCT05140837). 354 cases of cirrhosis were enrolled in 19 hospitals across the country. PHES (including digital connection tests A and B, digital symbol tests, trajectory drawing tests, and serial management tests) and the Stroop test were conducted in all of them. PHES was differentiated using standard diagnostic criteria established by the two studies in China and South Korea. The Stroop test was evaluated based on the criteria of the research and development team. The impact of different diagnostic standards or methods on the incidence of MHE in patients with cirrhosis was analyzed. Data between groups were differentiated using the t-test, Mann-Whitney U test, and χ2 test. A kappa test was used to compare the consistency between groups. Results:After PHES, the prevalence of MHE among 354 cases of cirrhosis was 78.53% and 15.25%, respectively, based on Chinese research standards and Korean research normal value standards. However, the prevalence of MHE was 56.78% based on the Stroop test, and the differences in pairwise comparisons among the three groups were statistically significant (kappa = -0.064, P < 0.001). Stratified analysis revealed that the MHE prevalence in three groups of patients with Child-Pugh classes A, B, and C was 74.14%, 83.33%, and 88.24%, respectively, according to the normal value standards of Chinese researchers, while the MHE prevalence rates in three groups of patients with Child-Pugh classes A, B, and C were 8.29%, 23.53%, and 38.24%, respectively, according to the normal value standards of Korean researchers. Furthermore, the prevalence rates of MHE in the three groups of patients with Child-Pugh grades A, B, and C were 52.68%, 58.82%, and 73.53%, respectively, according to the Stroop test standard. However, among the results of each diagnostic standard, the prevalence of MHE showed an increasing trend with an increasing Child-Pugh grade. Further comparison demonstrated that the scores obtained by the number connection test A and the number symbol test were consistent according to the normal value standards of the two studies in China and South Korea ( Z = -0.982, -1.702; P = 0.326, 0.089), while the other three sub-tests had significant differences ( P < 0.001). Conclusion:The prevalence rate of MHE in the cirrhotic population is high, but the prevalence of MHE obtained by using different diagnostic criteria or methods varies greatly. Therefore, in line with the current changes in demographics and disease spectrum, it is necessary to enroll a larger sample size of a healthy population as a control. Moreover, the establishment of more reliable diagnostic scoring criteria will serve as a basis for obtaining accurate MHE incidence and formulating diagnosis and treatment strategies in cirrhotic populations.

Allergic rhinitis (AR) is one of the main chronic inflammatory diseases that pose a global threat. Its symptoms persist for a long time, recur, and seriously affect the physical and mental health of the patients. Existing research has shown that the occurrence and development of AR are related to genetic and environmental factors. In recent years, the harm of air pollution to human health has received increasing attention, and fine particulate matter (PM_2.5) is the main harmful component of air pollutants. Its small particle size makes it easy to absorb various harmful substances, enter the respiratory tract, damage the nasal mucosa, and participate in the occurrence and development process of AR. At present, a large number of epidemiological studies have confirmed that PM_2.5 is positively related to the incidence rate and severity of symptoms of AR, but its exact mechanism is still unclear. Therefore, studying the mechanism of PM_2.5 exposure on AR damage is expected to provide new clues for exploring the pathogenesis and deterioration of AR. This article reviewed the epidemiological studies and toxicological mechanisms of PM_2.5 exposure and AR in recent years; discussed the potential biological mechanisms of PM_2.5 induced AR occurrence and development, including nasal mucositis damage, oxidative stress, and immune damage. Furthermore, a new research direction was proposed, which suggested that neuroimmune disorders and bacterial imbalance may be involved in the progression of AR and play a certain role in the toxic effects induced by PM_2.5. We aim to provide ideas and a theoretical basis for developing effective measures to prevent and treat AR.