Objective: To explore the management of blood donors tested reactive to HCV in blood screening based on confirmation of HCV infection. Methods: Multiple HCV antibody assays, repeating HCV RNA testing, follow-up of blood donors and retesting of archive samples were performed to confirm HCV infection, identify infection status, and exclude false positives in blood donors reactive to HCV in blood screening. Results: From 2011 to 2024, the unqualified rate of HCV detection in blood screening was 2.45‰(2 751/1 122 026). Among these, anti-HCV+-&NAT-accounted for 1.85‰, followed by anti-HCV++ at 0.60‰. The proportion of anti-HCV+-&NAT-and HCV RNA yields was extremely low (0.007‰). The positive rate of anti-HCV+-&NAT-samples tested by electrochemiluminescence method (ELCIA) was approximately 7.5%, differing among reagents (P<0.05). The follow-up of anti-HCV+-&NAT-donors showed that 96.2% (202/210) were false positives, but 51.4% of donors remained anti-HCV+-&NAT-during follow-up. Among them, 8 donors (3.8%) could not be ruled out from HCV infection due to positive retesting by ELCIA. Of the anti-HCV+-&NAT-donors who were reactive at the first follow-up, 86.8% remained anti-HCV+-&NAT-at the second follow-up. The sampling confirmation data showed that all of 260 anti-HCV++ donors were confirmed as anti-HCV positive, and the proportion of false positives or missed detections by NAT was very low. Two occult HBV infections (OBIs) and one HBsAg carrier were identified among the 3 anti-HCV +-&NAT+ donors, and no HCV infection was confirmed in 5 anti-HCV--&HCV RNA + donors. Conclusion: The prevalence of HCV among blood donors in Dalian was about 0.06%, with extremely low proportion of window-period infection and slightly higher proportion of resolved infections than that of current infections. The majority of anti-HCV+-&NAT-were false positive. Blood donors confirmed as false positive should be qualified in blood screening 3 months later before next donation. In order to reduce the false positive results, it was advisable to avoid the same type of supplementary reagents as the initial reagents when performing confirmation.

Objective To understand the clinical distribution characteristics and drug-resistance genotypes of carbapenem-resistant Pseudomonas aeruginosa(CRPA)in a tertiary hospital in Shanghai,so as to guide the rational use of antibiotics,reduce bacterial resistance and control nosocomial infections.Methods A total of 94 consecutive and non-redundant CRPA strains isolated from clinical specimens were collected in The First Affiliated Hospital of Naval Medical University between Jan.1,and Dec.31,2019.The distribution of CRPA across departments and sample sources were analyzed.Antimicrobial susceptibility testing against 13 antibiotics was determined using the VITEK 2 Compact automated microbiology analyzer and the Kirby-Bauer disk diffusion method.Polymerase chain reaction(PCR)was employed to detect genes encoding extended-spectrum β-lactamase resistance gene,carbapenemase resistance gene,and porin resistance gene.Homology analysis of selected isolates was performed using kSNP3,a k-mer-based software,for single nucleotide polymorphism(SNP)analysis.An evolutionary tree was constructed to assess genetic relationships.Additionally,multilocus sequence typing(MLST)was performed using the Pseudomonas aeruginosa typing scheme from the PubMLST database.Results Among the 94 CRPA isolates,high resistance rates were observed for carbapenems,including imipenem(92.6%,87 strains)and meropenem(87.2%,82 strains).In contrast,low resistance rates were detected for aminoglycosides,such as amikacin(10.6%,10 strains),gentamicin(20.2%,19 strains),and tobramycin(20.2%,19 strains).The top 3 departments in terms of isolate distribution were the Emergency Intensive Care Unit(9.6%,9 strains),Department of Cerebrovascular Surgery(8.5%,8 strains),and Department of Respiratory Medicine(8.5%,8 strains).PCR analysis of 94 CRPA strains detected outer membrane protein D2(OprD2)gene deletion in 47(50.0%)strains,13(13.8%)strains were positive for blaKPC,4(4.3%)strains for blaVIM,2(2.1%)strains for blaIMP,1(1.1%)strain for blaNDM,12(12.8%)strains for blaTEM,4(4.3%)strains for blaPER,and 2(2.1%)strains for blaGES,while blaOXA-48,blaBIC,blaSIM,blaVEB,and blaSHV were not detected.MLST identified 36 different sequence types(STs),with ST463 and ST274 being the most common,and 2 new ST(ST4023 and ST4024)were identified for the first time.Conclusion CRPA strains carry multiple resistance genes and exhibit concurrent resistance to several commonly used clinical antibiotics.The resistance is primarily associated with the presence of blaKPC,blaVIM and blaTEM genes and the deletion of OprD2 gene.Clinical monitoring of CRPA should be strengthened,and rational use of antimicrobial agents is essential to control its spread within the hospital.

Objective:To study the risk factors and the molecular epidemiology characteristics for Carbapenem-resistant Enterobacteriaceae(CRE) colonization in neonatal inpatients in Shenzhen region, China, which provide reference for the prevention and control of clinical CRE infection.Methods:This study is a prospective case-control study.Anal samples from inpatients between January 2023 and December 2023 at Longgang Maternity and Child Institute of Shantou University Medical College and Shenzhen Children's Hospital were collected for screening CRE strain. Drug susceptibility test, modified Carbapenem Inactivation Method (mCIM) test, drug resistance-related gene sequencing and multilocus sequence typing (MLST) were performed for isolated CRE strains.Meanwhile, the clinical data were collected for analyzing the risk factors of CRE intestinal colonization by multivariate regression analysis.Results:A total of 1 517 patients were screened, 26 CRE(1.7%, 26/1 517) were identified which including 14 Escherichia coli(53.8%, 14/26), 11 Klebsiella pneumoniae(42.3%, 11/26), 1 Enterobacter cloacae(3.9%, 1/26). The predominant carbapenemase gene was New Delhi Metallo(NDM) (92.4%, 24/26), followed by Imipenem (IMP) (3.8%, 1/26) and Guiana extended spectrum gene (GES) (3.8%, 1/26).Among the carried NDM resistance genes, New Delhi Metallo 5 (NDM5) was the main one, accounting for 84.6% (22/26).The MLST typing of Escherichia coli was mainly Sequence Type 48 (ST48) (6/14), while that of Klebsiella pneumoniae was mainly Sequence Type 35 (ST35) (10/11). All CRE isolates were resistant to penicillin, penicillinase inhibitors, cephalosporins, ertapenem and imipenem.The resistance rates of Escherichia coli to amikacin, levofloxacin was 1/14, 4/14, respectively. All isolates of Klebsiella pneumoniae were sensitive to amikacin, and the resistance rate to levofloxacin is 1/11. Risk factors for CRE colonization include the older age, length of hospital stay, tracheal intubation, invasive respiration, lumbar puncture, Apgar <7 score, and exposure to antibiotics.Conclusions:NDM5 is the predominant resistant gene in CRE isolated from neonatal patients feces in Shenzhen region.It is necessary to strengthen the screening of CRE colonization in neonate for prevention and control of CRE infection.

OBJECTIVE To explore the association of peripheral blood glucose 6 phosphate dehydrogenase(G6PD),progranulin(PGRN)and neutrophil CD64 index with the disease outcomes of the neonates with septicemia.METHODS A total of 147 neonates with septicemia who were treated in the Second Affiliated Hospital of Wenzhou Medical University from Jun.2021 to Nov.2023 were assigned as the septicemia group,meanwhile,140 healthy neonates were chosen as the healthy group.The neonates of the septicemia group were divided into the early-onset group and the late-onset group according to the type of disease,the non-critically severe group,the critically se-vere group and the extremely critically severe group according to the severity of diseases,the survival group and the death group according to 30-day prognosis.The levels of peripheral blood G6PD,PGRN and neutrophil CD64 indexes were observed and compared among the various types of groups,and the values of the peripheral blood in-dexes in prediction of the prognosis were analyzed.RESULTS The peripheral blood G6PD level of the septicemia group was significantly lower than that of the healthy group,the levels of PGRN and neutrophil CD64 index of the septicemia group were significantly higher than those of the healthy group(P＜0.05).As compared with the pe-ripheral blood G6PD level among the neonates with different illness condition,the result was as follows:the non-critically severe group＞the critically severe group＞the extremely critically severe group(P＜0.05);as com-pared with the levels of PGRN and neutrophil CD64 index,the result was as follows:the non-critically severe group＜the critically severe group＜the extremely critically severe group(P＜0.05).The peripheral blood G6PD level of the death group was significantly lower than that of the survival group(P＜0.05),and the levels of PGRN and neutrophil CD64 index of the death group were significantly higher than those of the survival group(P＜0.05).The area under the curve(AUC)of the joint detection of peripheral blood G6PD,PGRN and CD64 index was 0.831 in prediction of the prognosis of the neonates,significantly higher than that of the single detection of the three indexes(P＜0.05).CONCLUSIONS The neonates with septicemia show the decline of peripheral blood G6PD and the rise of levels of PGRN and CD64 index.The expression levels of the indexes are associated with the severi-ty of disease and,to some extent,can predict the prognosis.

Objective To explore the application value of high-flow nasal oxygen therapy combined with non-invasive positive pressure ventilation in very low birth weight infants after weaning from invasive mechanical ventilation.Methods From February 2022 to May 2024,80 cases of very low birth weight infants who were weaned from invasive mechanical ventilation in Second Affiliated Hospital of Wenzhou Medical University were selected and divided into single ventilation group and combined oxygen therapy group according to the random number table method,with 40 cases in each group.Single ventilation group was intervened with non-invasive positive pressure ventilation,while combined oxygen therapy group was intervened with high-flow nasal oxygen therapy combined with non-invasive positive pressure ventilation.The disappearance time of clinical symptoms,the score of neonatal behavioral neurological assessment(NBNA),vitamin D and blood gas indicators of two groups of premature infants were compared.And the degree of broncho pulmonary dysplasia(BPD)in premature infants was evaluated.Results The disappearance time of clinical symptoms,non-invasive positive pressure ventilation time and total oxygen requirement time of preterm infants in combined oxygen therapy group were significantly shorter than those in single ventilation group(P＜0.05).After 14 days of intervention,the NBNA scores,vitamin D,oxygenation index and blood oxygen saturation of premature infants in both groups were significantly higher than those before intervention in this group(P＜0.05).The NBNA score,vitamin D,oxygenation index and blood oxygen saturation of preterm infants in combined oxygen therapy group were significantly higher than those in single ventilation group(P＜0.05).The degree of BPD in combined oxygen therapy group was significantly milder than that in single ventilation group(x2=8.571,P=0.003).Conclusion After weaning from invasive mechanical ventilation in very low birth weight infants,high-flow nasal oxygen therapy combined with non-invasive positive pressure ventilation intervention can help reduce inflammatory responses and brain damage,improve blood gas indicators,and lower the degree of BPD.

OBJECTIVE To explore the clinical efficacy of the Yushen Yangluan Formula in treating diminished ovarian reserve(DOR)with kidney essence deficiency based on mitochondrial energy metabolism and oxidative stress.METHODS A total of 70 pa-tients diagnosed with DOR due to kidney essence deficiency,who visited the gynecology department of Yueyang Hospital of Integrated Traditional Chinese and Western Medicine from September 2023 to June 2024,were selected.The patients were randomly divided into two groups according to the random number table method.The treatment group(35 cases)received the Yushen Yangluan Formula,while the control group(35 cases)received a Chinese herbal placebo,with treatment lasting for 3 months,and during the treatment pe-riod,one case dropped out from each group.Antral follicle count(AFC),traditional Chinese medicine(TCM)syndrome scores,and serum levels of anti-Mullerian hormone(AMH),follicle-stimulating hormone(FSH),luteinizing hormone(LH),estradiol(E2),re-active oxygen species(ROS),and adenosine triphosphate(ATP)levels were compared between the two groups.RESULTS After treatment,the TCM syndrome scores for kidney deficiency in both groups decreased compared to before treatment(P<0.05,P<0.01),with the experimental group showing greater improvement than the control group(P<0.01).Following treatment,the FSH levels in the experimental group decreased compared to before treatment(P<0.05),while AMH levels increased(P<0.05),and the antral follicle count(AFC)also increased significantly(P<0.01),with the experimental group outperforming the control group(P<0.05,P<0.01).After treatment,serum ROS levels in the experimental group decreased(P<0.01),and ATP levels increased(P<0.01),with the experimental group showing superior results compared to the control group(P<0.01).CONCLUSION Yushen Yangluan Formu-la can improve the ovarian function and TCM syndrome score of patients with DOR of kidney essence deficiency type,which may be re-lated to improving mitochondrial energy metabolism and reducing oxidative stress.

Objective:To develop a deep learning-based segmentation model for anterior segment ultrasound biomicroscopy (UBM) images to automatically segment the anterior segment tissues of patients with primary angle-closure glaucoma (PACG).Methods:A single-center retrospective case series was conducted.A small-scale dataset comprised 468 UBM images of the anterior chamber angle closure from 156 patients with PACG who underwent the UBM examination at Tianjin Medical University Eye Hospital between July 12, 2022, and February 20, 2023.The UBM images were randomly split into a training dataset of 228 images and a testing dataset of 152 images using a random seed method in a ratio of 6∶4.The models were trained using the PSPNet model with MobileNet V2 and ResNet50 as backbones, the DeepLab v3+ model with MobileNet V2 and Xception as backbones, and the SegFormer model with MiT-B0 and MiT-B2 as backbones.The testing dataset was used for result prediction and to achieve segmentation of four regions: the cornea and sclera, iris, ciliary body, and anterior lens surface.To evaluate the performance of the models in segmenting the anterior segment structures, multiple metrics were assessed, including the mean intersection over union (mIoU), Dice coefficient, precision, recall, false negative rate, and specificity.A comparative analysis of the test results across the different models was subsequently performed.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Tianjin Medical University Eye Hospital (No.2023KY-05).Results:The two models with the best segmentation performance were PSPNet and DeepLab v3+ .The PSPNet model with ResNet50 as the backbone achieved the mIoU of 85.11%, Dice coefficient of 91.38%, precision of 91.83%, recall of 90.94%, false negative rate of 9.06%, and specificity of 98.89%.The DeepLab v3+ model with MobileNet V2 as the backbone achieved an mIoU of 85.84%, Dice coefficient of 92.01%, precision of 92.67%, recall of 91.36%, false negative rate of 8.64%, and specificity of 98.90%.Among the five key metrics, mIoU, Dice coefficient, recall, false negative rate, and specificity, DeepLab v3+ exhibited the best segmentation performance.In addition, the DeepLab v3+ model with Xception as the backbone had the highest precision among all models, reaching 92.77%.Conclusions:The deep learning-based DeepLab v3+ model achieves precise segmentation of anterior segment tissue structures in PACG anterior segment UBM image segmentation, providing auxiliary support for clinical diagnosis.

Objective:To develop a deep learning-based segmentation model for anterior segment ultrasound biomicroscopy (UBM) images to automatically segment the anterior segment tissues of patients with primary angle-closure glaucoma (PACG).Methods:A single-center retrospective case series was conducted.A small-scale dataset comprised 468 UBM images of the anterior chamber angle closure from 156 patients with PACG who underwent the UBM examination at Tianjin Medical University Eye Hospital between July 12, 2022, and February 20, 2023.The UBM images were randomly split into a training dataset of 228 images and a testing dataset of 152 images using a random seed method in a ratio of 6∶4.The models were trained using the PSPNet model with MobileNet V2 and ResNet50 as backbones, the DeepLab v3+ model with MobileNet V2 and Xception as backbones, and the SegFormer model with MiT-B0 and MiT-B2 as backbones.The testing dataset was used for result prediction and to achieve segmentation of four regions: the cornea and sclera, iris, ciliary body, and anterior lens surface.To evaluate the performance of the models in segmenting the anterior segment structures, multiple metrics were assessed, including the mean intersection over union (mIoU), Dice coefficient, precision, recall, false negative rate, and specificity.A comparative analysis of the test results across the different models was subsequently performed.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Tianjin Medical University Eye Hospital (No.2023KY-05).Results:The two models with the best segmentation performance were PSPNet and DeepLab v3+ .The PSPNet model with ResNet50 as the backbone achieved the mIoU of 85.11%, Dice coefficient of 91.38%, precision of 91.83%, recall of 90.94%, false negative rate of 9.06%, and specificity of 98.89%.The DeepLab v3+ model with MobileNet V2 as the backbone achieved an mIoU of 85.84%, Dice coefficient of 92.01%, precision of 92.67%, recall of 91.36%, false negative rate of 8.64%, and specificity of 98.90%.Among the five key metrics, mIoU, Dice coefficient, recall, false negative rate, and specificity, DeepLab v3+ exhibited the best segmentation performance.In addition, the DeepLab v3+ model with Xception as the backbone had the highest precision among all models, reaching 92.77%.Conclusions:The deep learning-based DeepLab v3+ model achieves precise segmentation of anterior segment tissue structures in PACG anterior segment UBM image segmentation, providing auxiliary support for clinical diagnosis.

Objective:To study the risk factors and the molecular epidemiology characteristics for Carbapenem-resistant Enterobacteriaceae(CRE) colonization in neonatal inpatients in Shenzhen region, China, which provide reference for the prevention and control of clinical CRE infection.Methods:This study is a prospective case-control study.Anal samples from inpatients between January 2023 and December 2023 at Longgang Maternity and Child Institute of Shantou University Medical College and Shenzhen Children's Hospital were collected for screening CRE strain. Drug susceptibility test, modified Carbapenem Inactivation Method (mCIM) test, drug resistance-related gene sequencing and multilocus sequence typing (MLST) were performed for isolated CRE strains.Meanwhile, the clinical data were collected for analyzing the risk factors of CRE intestinal colonization by multivariate regression analysis.Results:A total of 1 517 patients were screened, 26 CRE(1.7%, 26/1 517) were identified which including 14 Escherichia coli(53.8%, 14/26), 11 Klebsiella pneumoniae(42.3%, 11/26), 1 Enterobacter cloacae(3.9%, 1/26). The predominant carbapenemase gene was New Delhi Metallo(NDM) (92.4%, 24/26), followed by Imipenem (IMP) (3.8%, 1/26) and Guiana extended spectrum gene (GES) (3.8%, 1/26).Among the carried NDM resistance genes, New Delhi Metallo 5 (NDM5) was the main one, accounting for 84.6% (22/26).The MLST typing of Escherichia coli was mainly Sequence Type 48 (ST48) (6/14), while that of Klebsiella pneumoniae was mainly Sequence Type 35 (ST35) (10/11). All CRE isolates were resistant to penicillin, penicillinase inhibitors, cephalosporins, ertapenem and imipenem.The resistance rates of Escherichia coli to amikacin, levofloxacin was 1/14, 4/14, respectively. All isolates of Klebsiella pneumoniae were sensitive to amikacin, and the resistance rate to levofloxacin is 1/11. Risk factors for CRE colonization include the older age, length of hospital stay, tracheal intubation, invasive respiration, lumbar puncture, Apgar <7 score, and exposure to antibiotics.Conclusions:NDM5 is the predominant resistant gene in CRE isolated from neonatal patients feces in Shenzhen region.It is necessary to strengthen the screening of CRE colonization in neonate for prevention and control of CRE infection.