Methods:This study was a cross-sectional study. A prospective cohort study enrolled 42 patients with clinically suspected acute cerebrovascular disease and those undergoing follow-up examinations after intracranial vascular stenting at the First Affiliated Hospital of Zhengzhou University from June 2024 to May 2025. All patients underwent UHR PCD-CT examinations of the head and neck. Reconstructions were performed based on raw data, yielding conventional standard resolution (SR group) reconstructions and UHR images reconstructed using four distinct convolution kernels (Hv40, Hv48, Hv56, Hv64) in separate groups (Hv40 UHR group, Hv48 UHR group, Hv56 UHR group, Hv64 UHR group). Regions of interest were selected in the anterior cerebral artery, middle cerebral artery, posterior cerebral artery, posterior communicating artery, and anterior communicating artery. CT values and standard deviation (SD) values were measured for each artery, and signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated. Additionally, the sharpness of the vessel edges and the full-width-half-maximum (FWHM) of each artery were measured. One-way analysis of variance or the nonparametric Kruskal-Wallis test was used to compare the subjective and objective image quality metrics across the five groups. Pairwise comparisons were performed using the LSD test or Dunn method.Results:Statistically significant differences were observed in the overall comparison of vascular imaging SD, SNR, CNR, vascular edge sharpness, and FWHM among the SR group, Hv40 UHR group, Hv48 UHR group, Hv56 UHR group, and Hv64 UHR group ( P<0.05). No statistically significant differences in CT values were found ( P>0.05). Pairwise comparisons revealed statistically significant differences between all groups ( P<0.05), except that no significant differences were observed in image SD, SNR, CNR, vascular edge sharpness, or FWHM between the Hv56 UHR and Hv64 UHR groups ( P>0.05). Conclusions:UHR PCD-CT provides better image quality for neurovascular imaging. For the display of small intracranial vessels, the Hv64 provides sharper vessel walls and better subjective image quality compared to the less sharp convolutional cores.Objective:To explore the value of ultra-high resolution (UHR) photon-counting detector CT (PCD-CT) to improve the quality of neurovascular images.

Methods:This study was a cross-sectional study. A prospective cohort study enrolled 42 patients with clinically suspected acute cerebrovascular disease and those undergoing follow-up examinations after intracranial vascular stenting at the First Affiliated Hospital of Zhengzhou University from June 2024 to May 2025. All patients underwent UHR PCD-CT examinations of the head and neck. Reconstructions were performed based on raw data, yielding conventional standard resolution (SR group) reconstructions and UHR images reconstructed using four distinct convolution kernels (Hv40, Hv48, Hv56, Hv64) in separate groups (Hv40 UHR group, Hv48 UHR group, Hv56 UHR group, Hv64 UHR group). Regions of interest were selected in the anterior cerebral artery, middle cerebral artery, posterior cerebral artery, posterior communicating artery, and anterior communicating artery. CT values and standard deviation (SD) values were measured for each artery, and signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated. Additionally, the sharpness of the vessel edges and the full-width-half-maximum (FWHM) of each artery were measured. One-way analysis of variance or the nonparametric Kruskal-Wallis test was used to compare the subjective and objective image quality metrics across the five groups. Pairwise comparisons were performed using the LSD test or Dunn method.Results:Statistically significant differences were observed in the overall comparison of vascular imaging SD, SNR, CNR, vascular edge sharpness, and FWHM among the SR group, Hv40 UHR group, Hv48 UHR group, Hv56 UHR group, and Hv64 UHR group ( P<0.05). No statistically significant differences in CT values were found ( P>0.05). Pairwise comparisons revealed statistically significant differences between all groups ( P<0.05), except that no significant differences were observed in image SD, SNR, CNR, vascular edge sharpness, or FWHM between the Hv56 UHR and Hv64 UHR groups ( P>0.05). Conclusions:UHR PCD-CT provides better image quality for neurovascular imaging. For the display of small intracranial vessels, the Hv64 provides sharper vessel walls and better subjective image quality compared to the less sharp convolutional cores.Objective:To explore the value of ultra-high resolution (UHR) photon-counting detector CT (PCD-CT) to improve the quality of neurovascular images.

Objective:To retrospectively analyze the distribution and drug resistance of pathogenic bacteria in neonatal infection, in order to provide evidence for rational use of antibiotics in clinic.Methods:Pathogenic bacteria were collected from 497 newborn patients in the Neonatal Intensive care Unit (NICU) of the Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China from January 2020 to June 2024, and the pathogen identification and drug susceptibility test were conducted.Results:A total of 569 strains of pathogenic bacteria were detected, including 195 gram-positive strains (34.27%). 332 Gram-negative strains (58.35%); There were 42 fungal strains, accounting for 7.38%. The top 3 gram-positive bacteria were: 63 strains (11.07%), 44 strains (7.73%) of Staphylococcus epidermidis and 18 strains (3.16%) of Staphylococcus aureus, all of which were sensitive to linezolid, vancomycin, tigecycline, rifampicin and amikacin (83.33%-100.00%). The top three gram negative bacteria detection rates were: Klebsiella pneumoniae, Escherichia coli, Acinetobacter baumannii. Among them, the resistance rate of Klebsiella pneumoniae to penicillins and cephalosporins was 73.33%-95.00%, the resistance rate of Escherichia coli to cotrimoxazole was the highest (71.88%), and the resistance rate of Acinetobacter baumannii to cefoxitine and cefotaxime was over 70.00%. The sensitivity of the detected fungi to amphotericin, 5-fluorocytosine, voriconazole, itraconazole and fluconazole were all over 80.00%.Conclusions:There are many kinds of pathogens detected in NICU in our hospital, mainly gram-negative bacteria, and the resistance rate to penicillin and cephalosporin antibiotics is high.

Objective:To retrospectively analyze the distribution and drug resistance of pathogenic bacteria in neonatal infection, in order to provide evidence for rational use of antibiotics in clinic.Methods:Pathogenic bacteria were collected from 497 newborn patients in the Neonatal Intensive care Unit (NICU) of the Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China from January 2020 to June 2024, and the pathogen identification and drug susceptibility test were conducted.Results:A total of 569 strains of pathogenic bacteria were detected, including 195 gram-positive strains (34.27%). 332 Gram-negative strains (58.35%); There were 42 fungal strains, accounting for 7.38%. The top 3 gram-positive bacteria were: 63 strains (11.07%), 44 strains (7.73%) of Staphylococcus epidermidis and 18 strains (3.16%) of Staphylococcus aureus, all of which were sensitive to linezolid, vancomycin, tigecycline, rifampicin and amikacin (83.33%-100.00%). The top three gram negative bacteria detection rates were: Klebsiella pneumoniae, Escherichia coli, Acinetobacter baumannii. Among them, the resistance rate of Klebsiella pneumoniae to penicillins and cephalosporins was 73.33%-95.00%, the resistance rate of Escherichia coli to cotrimoxazole was the highest (71.88%), and the resistance rate of Acinetobacter baumannii to cefoxitine and cefotaxime was over 70.00%. The sensitivity of the detected fungi to amphotericin, 5-fluorocytosine, voriconazole, itraconazole and fluconazole were all over 80.00%.Conclusions:There are many kinds of pathogens detected in NICU in our hospital, mainly gram-negative bacteria, and the resistance rate to penicillin and cephalosporin antibiotics is high.

Objective:To understand the quality of life of high risk population of stroke in community and analyze the influencing factors.Methods:Four community health service centers in Huangpu District were randomly selected, and the subjects were included by using convenient sampling method among the high risk groups of stroke found in the community stroke screening and prevention and control project in Shanghai.The World Health Organization quality of life scale-brief form questionnaire(WHOQOL-BREF), self-rating depression scale (SDS) and self-rating anxiety scale (SAS) were used as the survey tools to study 1200 high-risk stroke subjects.Single sample t-test was used to compare the differences between the scores and the data of 24 centers in the world, and multiple linear stepwise regression were used to analyze the influencing factors. Results:The scores of physical field, psychological field and social relationship field ((13.60±1.86), (14.58±1.97), (13.72±2.10)respectively) of high-risk population of stroke were lower than the scores of general population of 24 centers in the world ( P<0.01), and the scores of environmental field (14.08±1.95) were higher than it ( P<0.01), of which the differences were all statistically significant.The results of multiple linear stepwise regression analysis showed that old age, anxiety and depression were the risk factors influencing the scores of physical field( β=-0.027, -0.056, -0.051), psychological field( β=-0.019, -0.055, -0.050) and environmental field( β=-0.017, -0.040, -0.054); old age and depression were the risk factors influencing the scores of social relationship field( β=-0.026, -0.067); anxiety and depression were the risk factors influencing the self-assessment of quality of life and health ( β=-0.012, -0.014 for quality of life; -0.012, -0.014 for health, all P<0.01). Conclusion:The quality of life of high-risk population of stroke may be related to age, depression, anxiety and other psychological factors.The prevention and treatment of stroke should take both physical and mental measures, take timely intervention for poor psychological status, and gradually improve the quality of life.

OBJECTIVE: To explore the relationship between allogeneic transfusion and hospital infections in patients with closed traumatic brain injury in the perioperative period.
 METHODS: The clinical data of 181 patients with open brain surgery suffering closed brain injury in Changsha Central Hospital from February, 2012 to December, 2013 were retrospectively collected. The patients were divided into a mild and moderate brain injury group (n=83) and a severe brain injury group (n=98) according to evaluation system of Glasgow coma scale (GCS). They were also divided into a autologous transfusion plus mild and moderate brain injury group (n=14), a autologous transfusion plus severe brain injury group (n=10); an allogeneic transfusion plus mild and moderate brain injury group (n=31), an allogeneic transfustion plus severe brain injury group (n=70); a non-transfusion plus mild and moderate brain injury group (n=38) and a non-transfusion plus severe brain injury group (n=18) according to the transfusion styles. The hospital infection of all the patients was examined.
 RESULTS: The rate of hospital infection was significantly higher in the severe brain injury group than that in the mild and moderate brain injury group (P<0.05). The rate of post-operative hospital infection in the allogeneic transfusion plus severe brain injury group was also significantly higher than that in the autologous transfusion plus severe brain injury group (P<0.05). Similarly, the rate of post-operative hospital infection in the allogeneic transfusion plus mild and moderate brain injury group is higher than that in the non-transfusion plus mild and moderate brain injury group (P<0.05).
 CONCLUSION The allogeneic transfusion at perioperative period may be one of the risk factors for post-operative hospital infection in the closed brain injury patients. The more severe the injury is, the higher risk the hospital infection will be.
Blood Transfusion ; Brain Injuries ; surgery ; Cross Infection ; epidemiology ; Glasgow Coma Scale ; Humans ; Postoperative Complications ; epidemiology ; Retrospective Studies ; Risk Factors

This paper discusses the importance of the usage and maintenance of image plate(IP)for CR image quality and the life span of IP.