Objective: To investigate the genetic basis of RhD-negative phenotype in the blood donor population of Nantong City. Methods: RHD genotyping was performed on 386 randomly selected RhD-negative donor samples (from a total of 676 RhD-negative donors identified between January 20, 2023, and June 28, 2024) using polymerase chain reaction (PCR), and the inconclusive results were confirmed by nucleotide sequencing. Results: Ten RHD allele types were identified: The complete deletion variant RHD 01N.01 was predominant (64.25%, 248/386); followed by RHD 01EL.01 (19.69%, 76/386). RHD 01N.03, RHD 01N.04, RHD 01N.16 and RHD 01EL.32 were frequently observed., RHD 01EL.02, RHD 01EL.08, RHD 01EL.37 and RHD 01N.25 were rare, and two exon deletion variants remained uncharacterized. The phenotypic distribution of RhD-negative blood donors was ccee (55.44%)>Ccee(31.09%)>ccEe(5.96%)>CCee(5.44%)>CcEe(1.81%)>CcEE(0.26%), and the antigen distribution trend was e(99.74%)>c(94.56%)>C(38.60%)>E(8.03%). A correlation was observed between RHD genotypes and RhCE phenotypes. Conclusion: The Nantong blood donor population exhibits unique RHD gene polymorphisms. Integrating RhCE serological phenotyping with RHD genotyping is essential for ensuring transfusion safety.

Objective: To investigate the genetic basis of RhD-negative phenotype in the blood donor population of Nantong City. Methods: RHD genotyping was performed on 386 randomly selected RhD-negative donor samples (from a total of 676 RhD-negative donors identified between January 20, 2023, and June 28, 2024) using polymerase chain reaction (PCR), and the inconclusive results were confirmed by nucleotide sequencing. Results: Ten RHD allele types were identified: The complete deletion variant RHD 01N.01 was predominant (64.25%, 248/386); followed by RHD 01EL.01 (19.69%, 76/386). RHD 01N.03, RHD 01N.04, RHD 01N.16 and RHD 01EL.32 were frequently observed., RHD 01EL.02, RHD 01EL.08, RHD 01EL.37 and RHD 01N.25 were rare, and two exon deletion variants remained uncharacterized. The phenotypic distribution of RhD-negative blood donors was ccee (55.44%)>Ccee(31.09%)>ccEe(5.96%)>CCee(5.44%)>CcEe(1.81%)>CcEE(0.26%), and the antigen distribution trend was e(99.74%)>c(94.56%)>C(38.60%)>E(8.03%). A correlation was observed between RHD genotypes and RhCE phenotypes. Conclusion: The Nantong blood donor population exhibits unique RHD gene polymorphisms. Integrating RhCE serological phenotyping with RHD genotyping is essential for ensuring transfusion safety.

Objective To compare the gut fungal composition between gout patients and healthy individuals through high-throughput sequencing of ribosomal DNA internal transcribed spacer 1(ITS1).Methods Gout patients and healthy volunteers who visited our hospital from January 2023 to December 2024 were enrolled in this study.Then based on established medical guidelines,the gout patients were categorized into 3 groups:Group H(asymptomatic hyperuricemia,n=14),Group G(acute gouty arthritis,n=14),and Group I(intercritical period of gouty arthritis,n=15),and the healthy individuals were assigned into Group N(n=9).Fecal samples were collected from all the participants to undergo ITS1 sequencing analysis.The differences in diversity and composition of gut mycobiome,and FunGuild-derived fungal functions and nutritional status were compared among the 4 groups,and the correlation between the gut mycobiome and clinical indicators was analyzed.Results There were no significant differences in baseline features such as gender,age,glomerular filtration rate(GFR),and levels of serum creatinine(SCr)and serum urea among Group N and other gout groups,but obvious differences were observed in body mass index(BMI),erythrocyte sedimentation rate,and levels of C-reactive protein(CRP),serum uric acid(SUA),and IL-1β and IL-6(P<0.05).In terms of gut fungal diversity,ITS1 analysis showed there were no statistical differences in α-diversity or the principal coordinate analysis(PCoA)of β-diversity among the groups.However,as gout progressed,significant changes were observed in β-diversity indices,indicating a shift in the gut fungal community composition with disease advancement(P<0.05).The phyla Ascomycota,Basidiomycota,and Mucoromycotina were the dominant fungal phyla in all groups.Compared with the other 3 gout groups,the abundance of Pichia was significantly increased in Group N(P<0.05),that of Saccharomyces was in Group H(P<0.05),and that of Starmerella was in Group G(P<0.05).Correlation analysis between the gut mycobiome and clinical indices indicated that the relative abundance of Starmerella was significantly positively correlated with IL-1β(P<0.01)and IL-6(P<0.05).The relative abundance of Pichia was significantly positively correlated with IL-1β and IL-6 levels(P<0.05),and negatively correlated with serum urea level(P<0.05),and the relative abundance of Saccharomyces was negatively correlated with IL-1β and IL-6 levels(P<0.05).Conclusion There exist significant alterations in both the diversity and composition of gut fungi among patients with gout at various stages.Notably,the fluctuations in the relative abundance of Starmerella,Pichia and Saccharomyces appear to correlate with key clinical indicators.

Objective To construct an automatic segmentation model to segment female urine control anatomy on MRI images based on deep learning methods in order to improve the segmentation efficiency and accuracy.Methods A dataset comprising 49 female pelvic floor muscle MRI images[30 women with varying degrees of pelvic organ prolapse(POP)and 19 healthy individuals],obtained from Faculty of Biomedical Engineering and Medical Imaging in Army Medical University,was used for model training and testing.The dataset was split into a training set(17 normal cases and 22 POP cases)and a testing set(4 normal cases and 6 POP cases)in a ratio of 8∶2.The training set was used to train UNet,UNet+++,Dense UNet,and UNet++models separately,and then input into each network.The model achieving the highest testing accuracy was selected as the backbone network.Results Under the training of UNet,UNet+++,Dense UNet,and UNet++,the 4 models achieved average Dice similarity coefficients of 61.82%,57.94%,57.63%,and 62.76%,respectively,for the segmentation of 5 anatomical structures(compressor urethrae,urethra sphincter body,bladder wall,bladder cavity and urethra submucosa).The corresponding Intersection over Union(IoU)score was 49.74%,46.59%,46.07%,and 49.44%,while the accuracy rate was 61.74%,55.03%,59.23%,and 61.91%,respectively for the 4 models.Notably,UNet++consistently outperformed UNet,UNet+++,and Dense UNet across the 3 metrics,indicating that UNet++achieved the highest overall segmentation accuracy.Conclusion In UNet,UNet++,Dense UNet and UNet++for automatic segmentation of 5 female urine control anatomical elements,UNet++achieves the best overall segmentation accuracy.

Objective To investigate CT features of Chlamydia psittaci(C.psittaci)pneumonia patients.Methods Ten patients with C.psittaci pneumonia were collected retrospectively based on macro gene second-generation sequencing(mNGS).The radiological manifestations of the disease were analyzed.Results Seven patients(70%)had contact history with birds(poultry)or their feces.Chest CT on the day of admission was mainly mass patchy consolidation,all of which were located in single lung,involving 8 cases(80%)with one lobe and 2 cases(20%)with two lobes.All of them were accompanied by air bronchogram,9 cases(90%)with ground glass shadow and 8 cases(80%)with interstitial changes.One case(10%)showed a reversed halo sign,and 1 case(10%)showed fan-shaped consolidation.Nine cases(90%)showed progress with increased fusion or new lesions within nine days.Conclusion CT findings of C.psittaci pneumonia have certain characteristics,and combining with history of contacting birds(poultry)can suggest diagnosis.

ObjectiveTo explore the distribution characteristics of traditional Chinese medicine （TCM） syndrome elements of macroangiopathy in patients with type 2 diabetes mellitus （T2DM） and the key elements of occurrence， development and progression of disease. MethodsA multicenter cross-sectional study was conducted to enroll 445 T2DM patients from five hospitals， and according to the presence or absence of macroangiopathy， the patients were divided into a T2DM group （120 cases） and a diabetic macroangiopathy （DM） group （325 cases）. Patients in DM group were divided into grade Ⅰ， Ⅱ， Ⅲ and Ⅳ according to the peripheral vascular color Doppler ultrasound results and the vascular anomalies classification standard. The general data including gender， age， duration of T2DM and body mass index （BMI） were collected， and the data of four examinations were obtained for syndrome differentiation. According to the diagnostic criteria of TCM syndrome elements， the patients can be divided into 9 patterns including qi deficiency， blood deficiency， yin deficiency， yang deficiency， qi stagnation， blood stasis， excess heat， and excess cold. The general data and distribution of TCM syndrome elements were compared between the two groups. The distribution of TCM syndrome elements in different vascular anomalies grades in the DM group was analyzed. Logistic regression analysis was used to explore the influence of various TCM syndrome elements on the occurrence of macroangiopathy in T2DM. ResultsThere was no significant difference in gender and BMI between groups （P＞0.05）. The age and duration of diabetes in the DM group were older and longer than those in the T2DM group （P＜0.01）. With the increase of age and prolonged course of disease， the severity of diabetic macroangiopathy increases gradually （P＜0.05 or P＜0.01）. There was no significant difference in BMI and course of disease among the different TCM syndrome elements （P＞0.05）. The average age of patients with blood stasis syndrome was the oldest （P＜0.05）. There was significant difference in gender distribution between the excess heat syndrome and yin deficiency syndrome （P＜0.05）. A total of 240 TCM syndrome elements were extracted from the T2DM group， while 731 TCM syndrome elements extracted from the DM group. The top two high-frequency syndrome elements in the two groups were qi deficiency and yin deficiency， with a frequency of larger than 50%. The distribution of phlegm-damp syndrome and blood-stasis syndrome were significantly higher in the DM group than in the T2DM group （P＜0.01）. There were significant differences in the distribution of qi deficiency syndrome， yin deficiency syndrome， phlegm-damp syndrome， blood stasis syndrome， and excess heat syndrome among different grades of vascular anomalies （P＜0.01）； qi deficiency and yin deficiency were both high-frequency TCM syndrome elements in patients at grades 0 to Ⅲ； phlegm-damp syndrome increased in frequency with the progression of the disease from grades 0 to Ⅳ， and the frequency of blood stasis syndrome showed an overall upward trend. The frequency of phlegm-dampness syndrome increased from grades 0 to Ⅳ with the progression of the disease， and the frequency of blood stasis syndrome showed an overall upward trend. Logistic regression analysis showed that phlegm-damp syndrome and blood stasis syndrome were important TCM syndrome elements related to the vascular anomalies degree of macrovascular disease in T2DM （P＜0.05 or P＜0.01）. ConclusionQi deficiency and yin deficiency are the basic TCM syndrome elements throughout the whole process of T2DM and diabetic macrovascular disease. Phlegm-damp and blood stasis are related to the degree of vascular anomalies in diabetic macrovascular disease and are the key TCM syndrome elements in the progression of macroangiopathy in T2DM.

Objective:To compare the efficacy of Solution-focused brief therapy (SFBT) and the conventional care in the improvement of the prognosis and mental state of patients with chronic bone infection.Methods:A retrospective cohort study was conducted to analyze the clinical data of 219 patients with chronic bone infection who were admitted to the First Affiliated Hospital of the Army Medical University from January 2018 to February 2019, including 172 males and 47 females, aged 15-65 years [(42.1±3.8)years]. Infection sites were the tibia in 144 patients and the femur in 75 patients. According to the classification of Cierny-Mader bone infection, there were 44 patients with type I (intramedullary bone infection), 57 with type II (superficial bone infection), 79 with type III (local bone infection), and 39 with type IV (diffuse bone infection). The patients were divided into conventional care group (admitted from January to July 2018, n=106) and SFBT group (admitted from August 2018 to February 2019, n=113) according to their admission time. The conventional care group received the conventional care, while the SFBT group underwent SFBT on the basis of the conventional care, with an intervention period of 6 months. The Hospital for Special Surgery (HSS) knee score, 36-item Short Form Health Survey (SF-36) for somatic, emotional, role and social function, Self-rating Anxiety Scale (SAS) and Self-rating Depression Scale (SDS) were compared between the two groups before surgery, at discharge and at 6 months after surgery. The rates of satisfaction with the nursing care and bone healing were collected at the last follow-up. Results:All the patients were followed up for 12-36 months [(24.5±6.3)months]. The differences in HSS knee score, SF-36 for somatic, emotional, role, and social function scores, SAS score, and SDS score between the two groups were not statistically significant before surgery ( P>0.05). At discharge, the HSS knee score and SF-36 for somatic, emotional, role, and social function scores of the SFBT group were (68.6±6.9)points, (23.0±1.8)points, (23.2±1.6)points, (23.4±1.5)points, and (23.1±1.8)points respectively, which were all significantly higher than those of the conventional care group [(66.3±7.2)points, (19.7±3.3)points, (20.0±2.7)points, (19.8±3.2)points, and (20.5±2.7)points respectively] ( P<0.05); The SAS and SDS scores in the SFBT group were (40.9±6.2)points and (41.1±6.2)points respectively, which were both significantly lower than those in the conventional care group [(46.4±6.3)points and (47.3±6.4)points] ( P<0.05). At 6 months after surgery, the HSS knee score and SF-36 for somatic, emotional, role, and social function scores in the SFBT group were (81.6±6.7)points, (26.3±1.6)points, (27.9±1.4)points, (26.6±1.4)points, and (27.9±1.6)points respectively, which were all significantly higher than those in the conventional care group [(78.5±7.2)points, (17.4±2.9)points, (18.7±2.5)points, (18.3±3.0)points, and (20.0±2.5)points respectively] ( P<0.05 or 0.01); the SAS and SDS scores in the SFBT group were (32.8±4.8)points and (30.8±5.5)points respectively, which were significantly lower than those in the conventional care group [(44.2±5.5)points and (42.5±6.2)points] ( P<0.05). At the last follow-up in the conventional care group and the SFBT group, the rates of satisfaction with the nursing care were 66.0% (70/106) and 88.5% (100/113) respectively ( P<0.01), and the bone healing rates were 96.2% (102/106) and 94.7% (107/113) respectively ( P>0.05). Conclusion:Compared with the conventional care, SFBT for intervention to patients with chronic bone infection is a safe and effective mental nursing model which can improve the recovery of the function and the quality of the patients′ life, reduce their anxiety and depression, and enhance their satisfaction rate.

Objective To explore the feasibility of automatic segmentation of clinical target volume(CTV)and organs at risk(OARs)for cervical cancer using AccuLearning(AL)based on geometric and dosimetric indices.Methods Seventy-five CT localization images with manual contouring data of postoperative cervical cancer were enrolled in this study.Sixty cases were randomly selected to trained to generate automatic segmentation model by AL,and the CTV and OARs of the remaining 15 cases were automatically contoured.Radiotherapy plans on the automatic segmentation contours were imported on the CT images of manual contours.The efficiency,Dice similarity coefficient(DSC),Hausdorff distance(HD)and dosimetric parameters were compared between the two methods.Results The time of automatic segmentation was significantly shorter than that of the manual contour(P<0.05).The DSC of all structures were≥0.87.The HD of bowel bag and rectum were about 10 mm,and that of the rest of OARs were less than 5 mm.CTV(D98,V90% ,V95% ,Dmean,HI),bowel bag(V50)and bladder(V50)had significant differences in dosimetric comparison(P<0.05).Conclusion The automatic segmentation model based on AL can improve the efficiency of radiotherapy.Automatic segmentation of OARs has the potential of clinical application,while that of CTV still needs to be further modified.

Objective To explore the correlation between intestinal dose and acute radiation enteritis(ARE)in patients with cervical cancer received concurrent chemoradiotherapy,and optimize the dose limit of intestinal tissue.Methods 158 cervical cancer patients received concurrent chemoradiotherapy from 2014 to 2019 were selected in this study.According to CTCAE 5.0,patients with ARE≥grade 2 were classified as ARE≥grade 2 group,otherwise classified as ARE0.7,P<0.05).Conclusions For patients with cervical cancer received concurrent chemoradiotherapy,the dose of bowelbag V5 and V40 should be considered to rationally optimize the dose of bowelbag in the radiotherapy plan,so as to reduce the incidence of ARE≥grade 2.

Abstract Airborne microorganisms, especially pathogenic microorganisms, are easily transmitted through dust and droplets, leading to various infectious diseases. The study summarizes the status of airborne microbial pollution, potential exposure levels, particle size, and species distribution of microorganisms, discusses the impact of airborne microorganisms on human health, and analyzes specific factors affecting campus air microorganisms from four aspects:climate, anthropogenic factors, time, and space, to provide a scientific basis for formulating effective improvement measures, improving air quality and safeguarding the health of teachers and students.