Objective: To compare the Reveos automated blood processing system with the current method, and to evaluate the feasibility and validity of using the Reveos system for blood component preparation. Methods: Forty units of 400 mL whole blood samples were divided into two groups: 2C group (for two-component preparation) and 3C group (for three-component preparation). Each group was further divided into a Reveos subgroup and a control subgroup. Blood components were prepared using the Reveos system and the current centrifugation method respectively. The 2C group yielded suspended red blood cells and plasma, while the 3C group yielded suspended red blood cells, plasma, and platelets. Key quality indicators for red blood cells, plasma, and platelets were measured before and after separation. Inter-group differences were analyzed using SPSS 25.0. Results: The trend of changes in the main performance indicators of red blood cells, plasma, and platelets before and after separation was generally consistent between the Reveos group and the control group, with no significant differences for most performance indicators. The Reveos system outperformed the current method in several aspects: in the 3C group, the hematocrit (Hct) was significantly higher in the Reveos group than in the control group [(62.82%±1.64%) vs (53.62%±3.04)%, P<0.001]; the white blood cell count in red blood cell suspensions was significantly lower than that in the control group [(3.37±1.42)×10 /L vs (8.42±2.30)×10 /L, P<0.001]; plasma yield was 27.5% higher than that in the control group [(183.90±17.37) mL vs (144.28±20.53) mL, P<0.001]; and the platelet activation rate was significantly lower than that in the control group [(21.97±14.25)% vs (34.73±11.92)%, P=0.044]. Conclusion: The Reveos system demonstrates good consistency with the current method in preparing blood components, and outperforms the current method in terms of leukocyte reduction and red blood cell concentration.

Objective To investigate the risk factors of aspiration during early enteral nutrition(EEN)support treatment in patients in intensive care unit(ICU)and establish and validate the corresponding nomogram risk prediction model.Methods A total of 348 ICU patients who received EEN between June 2022 and May 2024 were enrolled and divided into the aspiration group(n=74)and the non-aspiration group(n=274)based on the occurrence of aspiration.Clinical data were collected included age,sex,body mass index(BMI),history of diabetes,endotracheal intubation/mechanical ventilation status,plasma albumin(ALB)levels within 24 h after admission to ICU,disease type(severe pneumonia/stroke/septic shock),consciousness level(Glasgow Coma Scale,GCS),APACHE Ⅱscore,nasogastric tube insertion depth,infusion volume,nutritional risk(NRS2002 score≥3 indicating high risk),and nutrition mode(nasogastric/nasointestinal tube).Logistic regression was used to identify risk factors of aspiration,and a nomogram prediction model was constructed using R software.External validation was performed on 72 EEN-treated ICU patients admitted between June 2024 and January 2025.Results Logistic regression identified age(OR=2.701,95%CI:1.633-4.467),APACHE Ⅱ score(OR=2.125,95%CI:1.133-3.987),consciousness level(OR=2.826,95%CI:1.617-4.940),nasogastric tube insertion depth(OR=1.101,95%CI:1.006-1.136)and nutritional risk(OR=8.996,95%CI:5.017-16.132)were independent risk factors for aspiration(all P＜0.05).A nomogram incorporating these factors was developed,converting cumulative scores into individualized aspiration risk probabilities.The model demonstrated strong predictive performance in internal validation(AUC=0.860,calibration curve slope=0.930)and external validation(AUC=0.831).Decision curve analysis(DCA)confirmed significant clinical net benefits across risk thresholds,supporting its practical utility.Conclusion The nomogram model exhibits good discrimination and accuracy,providing a valuable tool for individualized aspiration risk assessment in ICU patients receiving EEN.

BACKGROUND:Graphene oxide,with its excellent physical and chemical properties and biocompatibility,can promote the differentiation of osteoblasts and inhibit the proliferation of bacteria,which will hopefully improve the success rate of implant restoration.OBJECTIVE:To summarize the research progress of graphene oxide in the field of dental implant restoration.METHODS:The related articles published by CNKI,WanFang Database,ScienceDirect,and PubMed from January 2000 to June 2024 were searched by computer.The keywords were"graphene oxide,dental implantation,biocompatibility,antibacterial mechanism,osteoblasts,mechanical properties,chemical properties"in Chinese and English.By reading the titles and abstracts,we preliminarily screened out the documents irrelevant to the topic of the article.According to the inclusion and exclusion criteria,65 documents were finally included for analysis.RESULTS AND CONCLUSION:Graphene oxide can increase the innate immune protection response of the body through its own antibacterial and drug-loaded antibacterial abilities,thus inhibiting the occurrence and development of periimplant inflammation.Graphene oxide can promote the proliferation and differentiation of bone marrow mesenchymal stem cells,enhance the proliferation of osteoblasts and vascular endothelial cells,inhibit the proliferation of osteoclasts,increase the rate of bone bonding between implants and alveolar bones,and contribute to the formation and stability of bone around implants.Graphene oxide can promote the combination of implant and gingival tissue,and reduce the occurrence of inflammation.Graphene oxide has low toxicity,and its biological safety needs further study.Graphene oxide coating endows the surface of titanium implant with excellent physical and chemical properties,which can greatly reduce the occurrence of complications such as implant fracture and prolong the survival time of implant.

Objective To investigate the risk factors of aspiration during early enteral nutrition(EEN)support treatment in patients in intensive care unit(ICU)and establish and validate the corresponding nomogram risk prediction model.Methods A total of 348 ICU patients who received EEN between June 2022 and May 2024 were enrolled and divided into the aspiration group(n=74)and the non-aspiration group(n=274)based on the occurrence of aspiration.Clinical data were collected included age,sex,body mass index(BMI),history of diabetes,endotracheal intubation/mechanical ventilation status,plasma albumin(ALB)levels within 24 h after admission to ICU,disease type(severe pneumonia/stroke/septic shock),consciousness level(Glasgow Coma Scale,GCS),APACHE Ⅱscore,nasogastric tube insertion depth,infusion volume,nutritional risk(NRS2002 score≥3 indicating high risk),and nutrition mode(nasogastric/nasointestinal tube).Logistic regression was used to identify risk factors of aspiration,and a nomogram prediction model was constructed using R software.External validation was performed on 72 EEN-treated ICU patients admitted between June 2024 and January 2025.Results Logistic regression identified age(OR=2.701,95%CI:1.633-4.467),APACHE Ⅱ score(OR=2.125,95%CI:1.133-3.987),consciousness level(OR=2.826,95%CI:1.617-4.940),nasogastric tube insertion depth(OR=1.101,95%CI:1.006-1.136)and nutritional risk(OR=8.996,95%CI:5.017-16.132)were independent risk factors for aspiration(all P＜0.05).A nomogram incorporating these factors was developed,converting cumulative scores into individualized aspiration risk probabilities.The model demonstrated strong predictive performance in internal validation(AUC=0.860,calibration curve slope=0.930)and external validation(AUC=0.831).Decision curve analysis(DCA)confirmed significant clinical net benefits across risk thresholds,supporting its practical utility.Conclusion The nomogram model exhibits good discrimination and accuracy,providing a valuable tool for individualized aspiration risk assessment in ICU patients receiving EEN.

OBJECTIVE To analyze the differential chemical composition of Olibanum of different origins and to provide some references for the identification of Olibanum origin and the quality standards.METHODS The chemical compositions of Olibanum were analyzed by UPLC-Q/TOF-MS.Multivariate statistical methods were used to analyze Olibanum and processed products to screen the differential compounds in Olibanum of different origins.RESULTS Using positive and negative ion scanning modes,a total of 108 compounds were identified in Olibanum.The compounds were mainly terpenes,among which triterpenes were the highest.And through multivariate statistical analysis,it was found that there were significant differences in the chemical compositions of Olibanum of different regions,with a total of 34 differential compounds;furthermore,specific compounds unique to Olibanum from other sources were identified.CONCLUSION Different regions of Olibanum could be distinguished based on their differential chemical composi-tions.This study could serve as a basis for identifying different origins of Olibanum,and also provide experimental data for subsequent research on the pharmacological substance basis of Olibanum.

Objective To explore the effect of life reconstruction training on anxiety and depression among individuals with chronic spinal cord injury(SCI)and their caregivers,and to analyze the influencing factors.Methods A total of 216 SCI patients and 79 caregivers who participated in life reconstruction training were recruited from the Hope House for SCI individuals in Shanghai Yangzhi Rehabilitation Hospital from May,2017 to Octo-ber,2019.They were assessed with Self-Rating Anxiety Scale(SAS)and Self-Rating Depression Scale(SDS)be-fore and after intervention.Results After intervention,the scores of SAS and SDS decreased(P<0.05)in both SCI patients and their caregivers.SAS scores were more likely to reduce in SCI patients who suffered anxiety at admission(OR=2.315,95%CI 1.328 to 4.033,P=0.003)and their caregivers(OR=3.632,95%CI 1.270 to 10.390,P=0.016),as well as non-agricultural-registered SCI patients(OR=1.908,95%CI 1.074 to 3.391,P=0.028).Being unmarried,having an injury duration≥21 years,injury due to disease,and having depression at admission significantly promoted the reduction in SDS scores among SCI patients(P<0.05).Caregivers with a junior-high-school education or less were more likely to experience reductions in scores of SAS and SDS compared with those with higher education(P<0.05).Caregivers with five to 15 years of caregiving experience achieved more anxiety reduction(OR=7.155,95%CI 1.806 to 28.342,P=0.005).Conclusion Life reconstruction training is effective on anxiety and depression among individuals with chronic SCI and their caregivers.It is recommended to prioritize anxiety interventions for patients with rural household registra-tion in China,along with depression management for the married/divorced/widowed individuals,with<21 years since injury,and trauma-induced lesions.For caregivers,it is needed to focus to anxiety and depression in better-educated individuals,as well as anxiety in those with either<5 or≥15 years of caregiving experience.

Objective To explore the effect of life reconstruction training on anxiety and depression among individuals with chronic spinal cord injury(SCI)and their caregivers,and to analyze the influencing factors.Methods A total of 216 SCI patients and 79 caregivers who participated in life reconstruction training were recruited from the Hope House for SCI individuals in Shanghai Yangzhi Rehabilitation Hospital from May,2017 to Octo-ber,2019.They were assessed with Self-Rating Anxiety Scale(SAS)and Self-Rating Depression Scale(SDS)be-fore and after intervention.Results After intervention,the scores of SAS and SDS decreased(P<0.05)in both SCI patients and their caregivers.SAS scores were more likely to reduce in SCI patients who suffered anxiety at admission(OR=2.315,95%CI 1.328 to 4.033,P=0.003)and their caregivers(OR=3.632,95%CI 1.270 to 10.390,P=0.016),as well as non-agricultural-registered SCI patients(OR=1.908,95%CI 1.074 to 3.391,P=0.028).Being unmarried,having an injury duration≥21 years,injury due to disease,and having depression at admission significantly promoted the reduction in SDS scores among SCI patients(P<0.05).Caregivers with a junior-high-school education or less were more likely to experience reductions in scores of SAS and SDS compared with those with higher education(P<0.05).Caregivers with five to 15 years of caregiving experience achieved more anxiety reduction(OR=7.155,95%CI 1.806 to 28.342,P=0.005).Conclusion Life reconstruction training is effective on anxiety and depression among individuals with chronic SCI and their caregivers.It is recommended to prioritize anxiety interventions for patients with rural household registra-tion in China,along with depression management for the married/divorced/widowed individuals,with<21 years since injury,and trauma-induced lesions.For caregivers,it is needed to focus to anxiety and depression in better-educated individuals,as well as anxiety in those with either<5 or≥15 years of caregiving experience.

Objective: To analyze the demographic characteristics of patients with red blood cell transfusion reactions, the usage of red blood cell preparations, and the differences in the composition ratio of adverse reactions based on multi-center data from the Haemovigilance Network, in order to reveal the clinical characteristics of red blood cell transfusion and its underlying issues. Methods: Clinical data of patients who experienced transfusion reactions after red blood cell transfusion in the Haemovigilance Network from 2018 to 2023 were collected. The demographic characteristics of patients who experienced transfusion reactions with different types of red blood cell preparations, the utilization of these preparations, and the differences of the composition ratios of transfusion reactions were analyzed. Count data were expressed as numbers (n) or percentages (%), and comparisons between groups were performed using the Chi-square test. Results: Red blood cell transfusion reactions were more common in females (53.56%), with the majority of patients aged 50-69 years (35.54%). The Han polulation accounted for the vast majority of patients (92.77%), and patients in the hematology and obstetrics/gynecology departments had a relatively high proportion of transfusion reactions (13.26% and 14.26%, respectively). Leukocyte-reduced red blood cells and suspended red blood cells were the most common types of transfusion reactions reported among red blood cell preparations. Allergic reactions and non-hemolytic febrile reactions were the most common transfusion reactions, and there were significant differences in the composition ratios of allergic reactions (χ =869.89, P<0.05) and non-hemolytic febrile reactions (χ =812.75, P<0.05) across various types of red blood cell preparations. Conclusion: There are differences in the demographic characteristics and composition ratio of transfusion reactions among different red blood cell preparations. The management of red blood cell transfusion reactions should be tailored to patient characteristics and conditions, and the selection and use of blood products should be optimized to reduce or avoid the occurrence of transfusion reactions, such as considering the use of washed red blood cells for patients with a history of transfusion allergies or those prone to allergies.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

Objective To explore the mechanism of TubA in the treatment of ulcerative colitis in mice,and to lay a foundation for the treatment strategy of ulcerative colitis.Methods Twenty C57BL/6 mice aged 6-8 weeks were randomly divided into 4 groups(n=5):the control group drank pure water every day,the model group and the treatment groups drank 3％dextran sulfate sodium(DSS)every day,and the treatment groups were injected with 10 mg/kg TubA and 20 mg/kg TubA every day from the third day,respectively.The weight changes of mice in all groups were recorded.Nine days later,the serum of mice was collected,and the expression levels of inflammatory factors IL-1β,IL-6 and IL-10 in serum were detected by ELISA.HE staining was used to observe the pathological changes of the mouse colon.The expression of myeloperoxidase(MPO)was detected by immunohistochemistry,the mRNA levels of inflammatory factors IL-1β,IL-6 and IL-10 were detected by RT-qPCR,and the expressions of GPX4 and FTH were detected by immunohistochemistry.The mRNA and protein expression levels of GPX4,GCLM,FTH,Nrf2,Keap1 and HO-1 in colon tissues were detected by RT-qPCR and Western blotting.Results Compared with the control group,the body weight and colon length of the model group decreased significantly.HE staining showed that inflammatory cells infiltrated the mucosa and submucosa of colon tissue,goblet cells were lost and crypt structure disordered and disappeared.Immunohistochemistry showed that the expression of MPO and FTH proteins were significantly increased,while the expression of GPX4 protein was significantly decreased(P＜0.05).The mRNA and protein expression levels of IL-1β and IL-6 were significantly increased,while the mRNA and protein expression levels of IL-10 were significantly decreased(P＜0.05).The mRNA and protein expression levels of FTH,Nrf2 and HO-1 were significantly increased,while the mRNA and protein expression levels of GPX4,GCLM and Keap1 were significantly decreased(P＜0.05).After TubA treatment,compared with the model group,all these changes mentioned above suppressed(P＜0.05).Conclusion TubA may reduce ulcerative colitis symptoms by inhibiting ferroptosis,providing new ideas for the treatment of ulcerative colitis.