Objective: To evaluate the suitability of the existing hemolysis rate standards for locally processed red blood cell components by retrospectively analyzing 5-year hemolysis rate data at the end of storage. Methods: A total of 720 blood samples of three types of red blood cell components from our blood station from January 2019 to December 2023 were collected. Parameters included hemoglobin concentration (Hb), hematocrit (Hct), and free hemoglobin concentration (fHb). Hemolysis rate were taken as the control standard of 0.8% in accordance with the national standard. The hemolysis rates were compared against the national standard threshold of 0.8% (GB18469-2012), and annual trends of the detection parameters were observed. Results: The hemolysis rates (x-+s,%) of leukocyte-depleted whole blood at the end of storage were (0.038±0.023 8) in 2019, (0.049±0.039 5) in 2020, (0.043±0.040 7) in 2021, (0.049±0.030 7) in 2022, and (0.058±0.054 8) in 2023, respectively; The hemolysis rates (x-+s" />,%) of leukocyte-depleted suspended red blood cells at the end of storage were (0.093±0.050 2) in 2019, (0.086±0.049 5) in 2020, (0.123±0.072 3) in 2021, (0.122±0.052 1) in 2022, and (0.106±0.058 6) in 2023, respectively; The hemolysis rates (x-+s,%) of washed red blood cells at the end of storage were (0.127±0.038 2) in 2019, (0.150±0.066 5) in 2020, (0.121±0.052 2) in 2021, (0.124±0.038 9) in 2022, and (0.128±0.044 3) in 2023, respectively. Conclusion: Hemolysis rates at the end of blood storage of three red blood cell components were significantly lower than the limits specified in Quality Requirements for Whole Blood and Components (GB18469-2012), as well as standards from the EU, AABB and the United States. The results demonstrate excellent product quality control. A regional internal control standard of <0.2% is proposed for hemolysis rates at the end of storage.

OBJECTIVE To explore the application of autoregressive integrated moving average model(ARIMA)in prediction of prevalence trends of carbapenem-resistant Klebsiella pneumoniae(CRKP)in intensive care unit(ICU)so as to provide scientific bases for formulating prevention strategies for CRKP infection in ICU.METHODS The number of CRKP strains that were monthly isolated from the ICU patients of Jiangnan University Affiliated Hospital between Jan.2021 and Jan.2024 was collected,the duplicate samples from the same patient were excluded,and totally 555 strains of CRKP were finally enrolled in the study.The time series differencing was performed by using R statistical software,the ARIMA model was established,the parameters of the model were determined by means of autocorrelation function(ACF)and partial autocorrelation function(PACF)images.The optimal model was screened out by Akaike information criterion(AIC)and root-mean-square error(RMSD),the robustness of the residual sequences was assessed by Box-Ljung test.The data that were detected from Sep.2023 to Jan.2024 were assigned as the validation set,the prediction accuracy of the model was assessed,and the dy-namic trend of the CRKP strains from Feb.2024 to Apr.2024 was predicted.RESULTS The isolation rate of CRKP strains in ICU showed dynamic change from 2021 to 2023(x2=66.906,P=0.001),sputum and midstream urine were the major sources.The minimal AIC of the optimal ARIMA model(8,1,10)was 222.1,with RMSE 3.67.Box-Ljung(x2=0.104,P=0.746)test indicated that there was no autocorrelation among the residual se-quences.Both the actual CRKP and the predictive value firstly rose then descended from Sep.2023 to Jan.2024,and the average relative error of the model was 9.62％for prediction.The number of isolated CRKP strains predic-ted by the model might reached to the lowest point in Feb.2024 and then showed an upward trend,and it might reach to a high peak in Apr.CONCLUSION ARIMA model is effective for short-term prediction and dynamic anal-ysis of prevalence trend of CRKP strains in the ICU so as to provide theoretical basis for early warning of hospital-associated infection and take corresponding prevention measures.

This study aims to investigate the epidemic variation of porcine circovirus type2(PCV2)and its distribution in swine farms in Henan Province from 2022 to 2023.In this study,1 206 pig blood samples from 18 urban scale swine farms,and 318 pigs and environmental samples from 2 PCV2-positive swine farms in Henan Province were detected by fluorescence quantitative PCR.ORF2 gene sequencing and genetic evolution analysis were performed on the positive samples.The results showed that the positive rate of PCV2 was 7.05％(85/1 206)in Henan Province,11.15％in western Henan Province and 3.03％in southern Henan Province.The positive rate of PCV2 in spring was 11.60％(67/576).A total of 31 ORF2 gene sequences were obtained,of which 23 were PCV2d(74.19％),6 were PCV2a(19.35％),one was PCV2b(3.23％)and one was PCV2c(3.23％).The results of amino acid sequence comparison showed that the mutation sites mainly concentrated on amino acids at positions 40-68 and 180-209.The total positive rate of pig farm sam-ples was 37.42％(119/318),and the positive rate of pig samples from different types of pig houses was 60.71％(34/56),45.83％(11/24),35.09％(20/57),and 33.33(3/9)in order from high to low.The positive rate of environmental samples from high to low was 56.36％(31/55)in feeding system,46.67％(7/15)in feces system,12.50(1/8)in decontamination area,11.11％(2/18)in living area,and no PCV2 was detected in ventilation system.The highest positive rate was 45.00％(9/20)for the tools in the house,7.14％(1/14)for the surface and sole of the clothes after leaving the house,and no PCV2 was detected on the surface and sole of the clothes before entering the house.In this study,the epidemiological investigation of PCV2 in Henan Province and its distribu-tion in swine farms were carried out,and the main circulating strains,seasons,regions and gene mutations of PCV2 in H enan Province were identified.The distribution and transmission routes of PCV2 in positive pig farms were preliminarily analyzed and summarized,which provided data basis and reference for effective prevention and control of PCV and the establishment of accurate bio-safety prevention and control measures.

OBJECTIVE To compare the clinical and microbiological characteristics of patients with bloodstream in-fection(BSI)and to summarize the risk factors for death in these patients.METHODS Clinical data of 528 patients with BSI admitted to Xijing Hospital,the Fourth Military Medical University from Jul.2018 to Feb.2023 were collected.The clinical characteristics,pathogens,antibacterial drug therapy and 28-day case-fatality rate of the pa-tients with BSI were analyzed.RESULTS Among the 528 patients with BSI,there were 139 patients with commu-nity-associated infection,69 patients with health care-associated infection,and 320 patients with hospital-associat-ed infection.The predominant pathogens isolated from patients with community-associated infection and health care-associated infection were Escherichia coli(53.96％and 42.03％,respectively),while Klebsiella pneumoni-ae was the main pathogen in patients with hospital-associated infection(24.38％),with a wide variety of major pathogens identified.The drug resistance profiles of E.coli and K.pneumoniae isolated from patients with health care-associated infection were similar to those isolated from patients with hospital-associated infection but were significantly low compared to those isolated from patients with community-associated infection.Compared to pa-tients with community-associated infection,those with health care-associated infection and hospital-associated in-fection had high 28-day case-fatality rates.Thrombocytopenia(HR=1.764,95％CI:1.275-2.440,P=0.001),hypoalbuminemia(HR=2.320,95％CI:1.595-3.374,P＜0.001),coagulation dysfunction(HR=1.605,95％CI:1.141-2.258,P=0.007),procalcitonin＞2.0 ng/ml(HR=3.747,95％CI:1.339-10.485,P=0.012),Charlson comorbidity index ≥5(HR=1.578,95％CI:1.110-2.244,P=0.011)and central ve-nous catheterization(HR=1.848,95％CI:1.322-2.583,P＜0.001)were risk factors for 28-day mortality,while appropriate targeted antibacterial drug therapy(HR=0.399,95％CI:0.291-0.546,P＜0.001)was a protective factor.CONCLUSION Antibacterial drug therapy for patients with health care-associated infection should be guided by their unique pathogens and resistance profiles,and individualized regimens should be devel-oped based on the site and source of infection,regional microbiological characteristics and disease severity to re-duce unnecessary use of antibacterial drug.

Objective To investigating the usage and changing trend of new anti-tumor drugs for respiratory system of 121 hospitals after the implementation of relevant policies insurance negotiation in China from 2019 to 2022,explore the development tendency of new anti-tumor drugs in hospitals under the medical reform policy and provide references for the rational use and standardized management of new anti-tumor drugs.Methods Based on the anti-tumour drug for respiratory system varieties in the Guidelines for the Clinical Application of Novel Anti-tumour Drugs Version 2022,descriptive statistical analysis was applied to retrieve data on the use of new anti-tumour drugs for respiratory system in 121 hospitals from 2019 to 2022,and drug dosage form,amount,drug frequency(DDDs),average daily cost(DDC)and drug ranking ratio(B/A)were statistically analyzed.Results The number of users and the proportion of new anti-tumour drugs for respiratory system used in 121 hospitals in China showed a year-on-year increasing trend from 2019 to 2022.In different cities of China,the drug use amount of Guangzhou,Beijing,Hangzhou and Zhengzhou was relatively large.In terms of drug use,small-molecule targeted drugs were still the main new anti-tumor drugs,while macromolecule targeted drugs showed a downward trend,and immunotherapy drugs showed a gradual upward trend.In terms of the amount of use,the top drugs in the four years were ecitinib,aletinib,gefitinib and oxitinib.The small molecule targeted drugs included in the national insurance negotiations showed increasing use and a decreasing amount of money spent.The ranking of DDDs was basically stable,with fluctuations in individual varieties.The DDC values of small molecule targeted drugs had significantly decreased,while the DDC values of immunotherapy drugs were relatively high.From 2021 to 2022,the B/A value of the novel anti-tumor drugs was most respiratory tumors was close to 1,and the varieties located at 0.8 to 1.2 accounted for 61.5％of the total drugs.Conclusion At present,the selection of new anti-tumor drugs for respiratory system is still dominated by small molecule targeted drugs and the use of immunotherapy drugs is increasing.The synchronization of the amount and frequency of most drugs has increased.The adjustment of the medical insurance catalog and the implementation of policies such as national negotiation effectively promote the decrease of the amount of drug use and the improvement of drug trend.

OBJECTIVE To investigate the distribution of Candida and predict the detection trend in the southern and northern campuses of Affiliated Hospital of Jiangnan University,Wuxi,between 2021 and 2024.METHODS A total of 27 056 patients with common Candida infections from the southern and northern campuses of Affiliated Hospital of Jiangnan University between 2021 and 2024 were selected to analyze the distribution of Candida species and predict the detection trend.RESULTS Among the 27 056 patients,there were 11 061 males and 15 995 fe-males,aged from 1 to 101 years,with a median age of 68 years.Over the past four years,the top five most com-monly detected Candida species in the hospital were Candida albicans,Candida glabrata,Candida tropicalis,Candida parapsilosis and Candida krusei.Statistically significant differences were found in infection characteris-tics among patients with C.albicans and C.glabrata in terms of gender,age,specimen source and related diseases(P＜0.05).From 2021 to 2024,the number of detected cases declined in 2022 and then rebounded(P＜0.001).Among the detected patients,those aged 70 and above accounted for the highest proportion.Regarding the distribution of specific diseases,the top three were vaginitis(4 176 cases,15.43％),bacterial pneumonia(1 842 cases,6.81％)and cancer(1 279 cases,4.73％).Patients with vaginitis were mainly infected with C.albicans,while patients with bacterial pneumonia were predominantly infected with C.albicans and C.glabrata.The LSTM model showed a good fit to the training set,with an root-mean-square error(RMSE)of 145.03 and an mean absolute error(MAE)of 131.19.Model predictions indicated that the number of patients with Candida in-fections in the hospital would remain low from Jan.to May 2025,which was basically consistent with actual clini-cal observations(RMSE=94.71,MAE=84.00).CONCLUSIONS The common diseases associated with Candi-da infections in the hospital include vaginitis,bacterial pneumonia and cancer.C.albicans and C.glabrata are the main pathogenic species,and the infection situation is relatively severe.The LSTM model performs well in short-term prediction and dynamic analysis of Candida detection trends.

OBJECTIVE To compare the clinical and microbiological characteristics of patients with bloodstream in-fection(BSI)and to summarize the risk factors for death in these patients.METHODS Clinical data of 528 patients with BSI admitted to Xijing Hospital,the Fourth Military Medical University from Jul.2018 to Feb.2023 were collected.The clinical characteristics,pathogens,antibacterial drug therapy and 28-day case-fatality rate of the pa-tients with BSI were analyzed.RESULTS Among the 528 patients with BSI,there were 139 patients with commu-nity-associated infection,69 patients with health care-associated infection,and 320 patients with hospital-associat-ed infection.The predominant pathogens isolated from patients with community-associated infection and health care-associated infection were Escherichia coli(53.96％and 42.03％,respectively),while Klebsiella pneumoni-ae was the main pathogen in patients with hospital-associated infection(24.38％),with a wide variety of major pathogens identified.The drug resistance profiles of E.coli and K.pneumoniae isolated from patients with health care-associated infection were similar to those isolated from patients with hospital-associated infection but were significantly low compared to those isolated from patients with community-associated infection.Compared to pa-tients with community-associated infection,those with health care-associated infection and hospital-associated in-fection had high 28-day case-fatality rates.Thrombocytopenia(HR=1.764,95％CI:1.275-2.440,P=0.001),hypoalbuminemia(HR=2.320,95％CI:1.595-3.374,P＜0.001),coagulation dysfunction(HR=1.605,95％CI:1.141-2.258,P=0.007),procalcitonin＞2.0 ng/ml(HR=3.747,95％CI:1.339-10.485,P=0.012),Charlson comorbidity index ≥5(HR=1.578,95％CI:1.110-2.244,P=0.011)and central ve-nous catheterization(HR=1.848,95％CI:1.322-2.583,P＜0.001)were risk factors for 28-day mortality,while appropriate targeted antibacterial drug therapy(HR=0.399,95％CI:0.291-0.546,P＜0.001)was a protective factor.CONCLUSION Antibacterial drug therapy for patients with health care-associated infection should be guided by their unique pathogens and resistance profiles,and individualized regimens should be devel-oped based on the site and source of infection,regional microbiological characteristics and disease severity to re-duce unnecessary use of antibacterial drug.

Tumors are the second leading cause of death worldwide. Exosomes are a type of extracellular vesicle secreted from multivesicular bodies, with particle sizes ranging from 40 to 160 nm. They regulate the tumor microenvironment, proliferation, and progression by transporting proteins, nucleic acids, and other biomolecules. Compared with other drug delivery systems, exosomes derived from different cells possess unique cellular tropism, enabling them to selectively target specific tissues and organs. This homing ability allows them to cross biological barriers that are otherwise difficult for conventional drug delivery systems to penetrate. Due to their biocompatibility and unique biological properties, exosomes can serve as drug delivery systems capable of loading various anti-tumor drugs. They can traverse biological barriers, evade immune responses, and specifically target tumor tissues, making them ideal carriers for anti-tumor therapeutics. This article systematically summarizes the methods for exosome isolation, including ultracentrifugation, ultrafiltration, size-exclusion chromatography (SEC), immunoaffinity capture, and microfluidics. However, these methods have certain limitations. A combination of multiple isolation techniques can improve isolation efficiency. For instance, combining ultrafiltration with SEC can achieve both high purity and high yield while reducing processing time. Exosome drug loading methods can be classified into post-loading and pre-loading approaches. Pre-loading is further categorized into active and passive loading. Active loading methods, including electroporation, sonication, extrusion, and freeze-thaw cycles, involve physical or chemical disruption of the exosome membrane to facilitate drug encapsulation. Passive loading relies on drug concentration gradients or hydrophobic interactions between drugs and exosomes for encapsulation. Pre-loading strategies also include genetic engineering and co-incubation methods. Additionally, we review approaches to enhance the targeting, retention, and permeability of exosomes. Genetic engineering and chemical modifications can improve their tumor-targeting capabilities. Magnetic fields can also be employed to promote the accumulation of exosomes at tumor sites. Retention time can be prolonged by inhibiting monocyte-mediated clearance or by combining exosomes with hydrogels. Engineered exosomes can also reshape the tumor microenvironment to enhance permeability. This review further discusses the current applications of exosomes in delivering various anti-tumor drugs. Specifically, exosomes can encapsulate chemotherapeutic agents such as paclitaxel to reduce side effects and increase drug concentration within tumor tissues. For instance, exosomes loaded with doxorubicin can mitigate cardiotoxicity and minimize adverse effects on healthy tissues. Furthermore, exosomes can encapsulate proteins to enhance protein stability and bioavailability or carry immunogenic cell death inducers for tumor vaccines. In addition to these applications, exosomes can deliver nucleic acids such as siRNA and miRNA to regulate gene expression, inhibit tumor proliferation, and suppress invasion. Beyond their therapeutic applications, exosomes also serve as tumor biomarkers for early cancer diagnosis. The detection of exosomal miRNA can improve the sensitivity and specificity of diagnosing prostate and pancreatic cancers. Despite their promising potential as drug delivery systems, challenges remain in the standardization and large-scale production of exosomes. This article explores the future development of engineered exosomes for targeted tumor therapy. Plant-derived exosomes hold potential due to their superior biocompatibility, lower toxicity, and abundant availability. Furthermore, the integration of exosomes with artificial intelligence may offer novel applications in diagnostics, therapeutics, and personalized medicine.

Objective To investigate the correlation of the characteristics of symptomatic middle cerebral artery plaques with the risk of stroke recurrence based on high-resolution vessel wall imaging(HR-VWI).Methods Totally 83 patients hospitalized for acute ischemic stroke(AIS)and transient ischemic attack(TIA)at Jingmen People's Hospital and Yichang Central People's Hospital from January 2019 to August 2022 were selected prospectively,who all underwent the treatment with antiplatelet aggregation and intensive lipid lowering by statins.During the follow-up,AIS or TIA recurrences were determined in case of newly found symptoms of neurological impairment in the same supply area of the responsible vessel or new infarct foci confirmed by cranial diffusion weighted imaging(DWI).The patients with AIS or TIA recurrences were enrolled into a recurrence group,and the remained ones were divided into a non-recurrence group.The recurrence group went through HR-VWI scanning within two weeks of recurrence and statin treatment,and the non-recurrence group was examined with HR-VWI half a year after receiving statin treatment.All the patients had their clinical indexes compared before and after statin treatment,the baseline data of the two groups underwent univariate analysis,and Logistic regression analysis was performed for the high-risk factors related to recurrence.SPSS 22.0 software was used for statistical analysis.Results After six months of statin treatment,all the patients were improved in TC,TG,luminal stenosis rate,high T1WI signal,plaque burden,plaque enhancement rate and NIHSS score,with the differences being significant(all P＜0.05).Univariate analysis showed the recurrence group had higher plaque enhancement rates(P=0.012)and higher plaque burden(P=0.047)when compared with the non-recurrence group,with the differences being significant;the two groups were not statistically different in luminal stenosis rate,high T1WI signal,plaque thickness and remodeling index(all P＞0.05).Multivariate logistic regression analysis indicated the plaque enhancement rate was independently correlated with stroke recurrence within 6 months(P=0.027).Conclusion HR-VWI can effectively assess MCA plaque characteristics in recurrent stroke patients,and high plaque enhancement rate faciliates the evaluation of stroke recurrence.[Chinese Medical Equipment Journal,2025,46(2):63-67]

OBJECTIVE: To assess health equity in the Yangtze River region to improve understanding of the correlation between hand, foot, and mouth disease (HFMD) and socioeconomic factors. METHODS: From 2014-2016, data on HFMD incidence, population statistics, economic indicators, and meteorology from 26 cities along the Yangtze River were analyzed. A multi-city random-effects meta-analysis was performed to study the relationship between temperature and HFMD transmission, and health equity was assessed with respect to socio-economic impact. RESULTS: Over the study period, 919,458 HFMD cases were reported, with Shanghai (162,303) having the highest incidence and Tongling (5,513) having the lowest. Males were more commonly affected (male-to-female ratio, 1.49:1). The exposure-response relationship had an M-shaped curve, with two HFMD peaks occurring at 4 °C and 26 °C. The relative risk had two peaks at 1.30 °C (1.834, 95% CI: 1.204-2.794) and 31.4 °C (1.143, 95% CI: 0.901-1.451), forming an M shape, with the first peak higher than the second. The most significant impact of temperature on HFMD was observed between -2 °C and 18.1 °C. The concentration index (0.2463) indicated moderate concentration differences, whereas the Theil index (0.0418) showed low inequality in distribution. CONCLUSION The incidence of HFMD varied across cities, particularly with changes in temperature. Economically prosperous areas showed higher risks, indicating disparities. Targeted interventions in these areas are crucial for mitigating the risk of HFMD.
Female ; Humans ; Male ; China/epidemiology* ; Cities/epidemiology* ; Hand, Foot and Mouth Disease/transmission* ; Incidence ; Risk Factors ; Temperature