[Objective]To investigate the effect of nicotinamide adenine dinucleotide on vascular endothelial injury in hypertension and its molecular mechanism.[Methods]C57BL/6J mice were randomly divided into saline group(Saline)and hypertension group(Ang Ⅱ,which were infused with Ang Ⅱ via subcutaneously implanted osmotic pumps),and supplemented daily with nicotinamide mononucleotide(300 mg/kg),a precursor of NAD+.Blood pressure,endothelial relaxation function and pulse wave velocity were measured after 4 weeks.Wound healing assay and adhesion assay were used to evaluate the function of endothelial cells in vitro.mtROS levels were detected by immunofluorescence staining.RT-PCR was used to detect the mRNA expression of mtDNA,SIRT3 and isocitrate dehydrogenase 2(IDH2).8-hydroxy-2'-deoxyguanosine levels were detected by enzyme-linked immunosorbent assay.The protein expression levels of p-eNOS,eNOS,SIRT3 and IDH2 were detected by Western blot.[Results]NMN supplementation reduced blood pressure(P<0.001)and improved endothelial function and arterial stiffness(P<0.001)in hypertensive mice.In vitro,NMN improved endothelial function in Ang Ⅱ-stimulated endothelial cells(P<0.05)and attenuated mitochondrial oxidative stress levels(P<0.001).Mechanistically,NMN elevated SIRT3 activity(P<0.001),which subsequently enhanced IDH activity(P<0.001)and reduced oxidative stress levels in endothelial cells.Conversely,knockdown of IDH2 would reverse the effect of SIRT3 in improving endothelial function(P<0.001).[Conclusion]NAD+lowers blood pressure and enhances vascular function in hypertension by reducing the level of oxidative stress in endothelial cells through activation of the SIRT3/IDH2 signal pathway.

Objective Low-dose CT(LDCT)images significantly affect clinical diagnosis due to the substantial presence of noise and artifacts.To address the challenges such as over-smoothing of images,loss of texture details,and the presence of residual noise artifacts,a deconvolution-convolution residual network integrating multi-scale dilated convolution(MDC-DCRN)is proposed for LDCT denoising.Methods The network employed deconvolution-convolution architecture to better preserve image details and integrated an MDC module to enhance the feature extraction capabilities at different scales.Moreover,the issue of excessive image smoothing was effectively mitigated by the composite loss function combining L1 loss and perceptual loss.Results The experimental results on the Mayo dataset demonstrated that MDC-DCRN outperformed 4 classic denoising methods,namely RED-CNN,EDCNN,WGAN-RAM,and CTformer.MDC-DCRN effectively eliminated noise and artifacts while recovering more texture detail information.Compared with LDCT images,the images processed by MDC-DCRN had an average increase of 13.64%in peak signal-to-noise ratio,an average increase of 4.57%in structural similarity index,and an average decrease of 37.40%in root mean square error.Conclusion The proposed MDC-DCRN model can effectively preserve details while reducing noise from low-dose scanning,offering a novel approach to clinical LDCT image denoising.

Objective:To analyze the predictive value of the prognostic nutritional index combined with inflammatory indicators for clinical outcomes in patients with ischemic stroke, providing a basis for targeted therapeutic interventions and nursing care for patients at potential risk of poor outcomes.Methods:This retrospective cohort study recruited 424 ischemic stroke patients admitted to the Stroke Center of the First Hospital of Jilin University from June 2021 to May 2024 by the convenience sampling method. Collect the general demographic data, routine laboratory examination results within 24 hours of admission, as well as the National Institutes of Health Stroke Scale (NIHSS) scores at admission and discharge of the patients. Based on 3-month functional outcomes, patients were divided into a favorable prognosis group and a poor prognosis group. Univariate analysis, least absolute shrinkage and selection operator regression, and binary Logistic regression were employed to screen predictive variables and develop a nomogram model. Internal validation was performed using the Bootstrap method. The receiver operating characteristic (ROC) curve, calibration curve, and decision curve were drew to evaluate the predictive performance of the model.Results:The favorable prognosis group comprised 256 patients, including 57 females and 199 males, with an age of 61(54, 68) years. The poor prognosis group included 168 patients, with 55 females and 113 males, and an age of 66(58, 72) years. Binary Logistic regression identified age, sex, hyperlipidemia, NIHSS score at discharge, prognostic nutritional index, systemic inflammatory response index, and systemic immune-inflammation index as independent predictors of prognosis in ischemic stroke patients ( χ2 values were 4.52-56.18, all P<0.05). The prediction model demonstrated the area under the curve of ROC of 0.806 (95% CI 0.764-0.849), with an optimal cutoff value of 0.406, achieving specificity of 78% and sensitivity of 68%. The Hosmer-Lemeshow test yielded a non-significant P>0.05, and the calibration curve showed good agreement between predicted and observed outcomes, with a mean absolute error of 0.012. Decision curve analysis confirmed the clinical utility of the model across a wide range of threshold probabilities. Conclusions:The integrated prognostic model combining the prognostic nutritional index and inflammatory indicators demonstrated favorable discriminative ability, robust calibration, and substantial clinical utility. This risk stratification tool shows high applicability for predicting ischemic stroke outcomes, facilitating early identification of high-risk patients with poor prognosis and guiding personalized intervention strategies.

The clinical data of 2 pediatric patients with atypical hemolytic uremic syndrome (aHUS) who were admitted to the Department of Nephrology at the Children′s Hospital of Nanjing Medical University on July 2018 to June 2023 were retrospectively analyzed.Both patients had combined CFH and CD46 gene mutations.One patient, a 2-year-old boy, presented jaundice and darkened urine following mumps.The other patient, a 7-month-old girl and the younger sister of the boy, developed fever, cough, vomiting, and thrombocytopenia without any apparent cause.Laboratory tests revealed hemolytic anemia, thrombocytopenia, and acute kidney injury in both patients.The genetic test results revealed mutations in both CFH (c.3572C>T, p.Ser1191Leu) and CD46 genes (c.293C>T, p.Thr98Ile) in both patients.The patients′ mother is a heterozygous carrier of the CFH gene mutation, while their father is a heterozygous carrier of the CD46 gene mutation.Both parents exhibit normal phenotypes and are currently receiving regular infusions of Eculizumab.The pediatric aHUS caused by combined CFH and CD46 gene mutations is reported in this study for the first time in China.The clinical features of these patients are summarized and analyzed.

Objective To explore the value of transvaginal ultrasound five-view method for diagnosing fetal congenital heart disease(CHD)in early pregnancy of high-risk pregnancy.Methods Totally 428 singleton fetuses at 11-13+6 weeks of gestation in high-risk pregnancies were prospectively enrolled.Fetal cardiac examinations were performed using two-dimensional grey scale imaging combined with CDFI via transabdominal ultrasound method,transvaginal ultrasound five-view method(upper abdominal transverse view,four-chamber view,three-vessel and trachea[3VT]view,ventricular outflow tract view and bilateral subclavian artery view)and transvaginal ultrasound two-view method(four-chamber view and 3VT view).Taken results of pregnant metaphase or late pregnancy fetal echocardiography,post-abortion pathology or postnatal neonatal echocardiography as gold standards,the diagnostic performances of the above 3 methods for diagnosing fetal CHD in early pregnancy were compared.Results CHD was diagnosed in 120(120/428,28.04％)fetuses.Transvaginal ultrasound five-view method made 11 false positives and 19 false negatives,with sensitivity,specificity,positive predictive value and negative predictive values for diagnosing fetal CHD in the first trimester of high-risk pregnancy of 84.17％,96.43％,90.18％and 93.99％,respectively,which were all significantly higher than of transvaginal ultrasound two-view method(70.83％,91.88％,77.27％and 88.99％)and transabdominal ultrasound method(72.50％,91.23％,76.32％and 89.49％;all P＜0.05).Conclusion Transvaginal ultrasound five-view method could be used to effectively diagnose fetal CHD in the first trimester of high-risk pregnancy.

Objective Low-dose CT(LDCT)images significantly affect clinical diagnosis due to the substantial presence of noise and artifacts.To address the challenges such as over-smoothing of images,loss of texture details,and the presence of residual noise artifacts,a deconvolution-convolution residual network integrating multi-scale dilated convolution(MDC-DCRN)is proposed for LDCT denoising.Methods The network employed deconvolution-convolution architecture to better preserve image details and integrated an MDC module to enhance the feature extraction capabilities at different scales.Moreover,the issue of excessive image smoothing was effectively mitigated by the composite loss function combining L1 loss and perceptual loss.Results The experimental results on the Mayo dataset demonstrated that MDC-DCRN outperformed 4 classic denoising methods,namely RED-CNN,EDCNN,WGAN-RAM,and CTformer.MDC-DCRN effectively eliminated noise and artifacts while recovering more texture detail information.Compared with LDCT images,the images processed by MDC-DCRN had an average increase of 13.64%in peak signal-to-noise ratio,an average increase of 4.57%in structural similarity index,and an average decrease of 37.40%in root mean square error.Conclusion The proposed MDC-DCRN model can effectively preserve details while reducing noise from low-dose scanning,offering a novel approach to clinical LDCT image denoising.

Objective To investigate the preferences of elderly chronic disease patients for"internet+nursing services"and provide references for precisely matching their service needs.Methods A questionnaire on service preferences for elderly chronic disease patients was developed based on a discrete choice experi-ment.Face-to-face questionnaire surveys were conducted with 342 respondents selected by random sampling,and preference outcomes were analyzed using a mixed logit model.Results A total of 342 collected question-naires were valid,resulting in a 100%response rate.Significant differences were observed in all six included attributes(P＜0.05).Senior nurses(β=0.491)provided the highest utility,followed by larger hospital size(β=0.479)and 70%medical insurance reimbursement(β=0.402).Respondents showed the highest willing-ness-to-pay for senior nurses,with 165.1 yuan willingness to pay when switching from junior to senior nur-ses..Conversely,respondents required 86.8 yuan compensation when switching from basic to personalized service packages.Conclusion Preferences for"internet+nursing services"among elderly chronic disease pa-tients are multifactorial,and involving trade-offs among attribute levels during service selection.

[Objective] To evaluate the feasibility of a novel outpatient infusion model for blinatumomab in two acute lymphoblastic leukemia (ALL) patients, aiming to address challenges of poor treatment tolerance, high healthcare costs, and compromised quality of life, thereby providing clinical insights for broader adoption of this approach. [Methods] Two post-allogeneic hematopoietic stem cell transplantation (allo-HSCT) patients undergoing blinatumomab maintenance therapy were selected to evaluate the efficacy of the outpatient infusion model. Patient selection criteria, nursing protocols, standardized workflows, and advancements in infusion practices were systematically analyzed combined with a review of global developments in this field. [Results] Both patients completed outpatient blinatumomab infusion without severe adverse events, demonstrating preliminary feasibility and safety of this model. The novel approach enhanced treatment convenience, reduced hospitalization costs, and improved quality of life. [Conclusion] Despite the limited sample size, this pilot study highlights the potential of outpatient blinatumomab administration as a viable alternative to traditional inpatient regimens.

Objective: To explore the relationship between parenting styles and depressive symptoms in adolescents with nightmare disorder, so as to provide a scientific basis for formulating effective family intervention measures and psychological counseling. Methods: From January 2023 to August 2024, 90 adolescents diagnosed with nightmare disorder and admitted to Hangzhou Seventh Peoples Hospital, along with 176 healthy controls from the urban areas of Hangzhou, were recruited as participants in the study. All participants were assessed using the Nightmare Experience Questionnaire (NEQ), Family Relationship Questionnaire (FRQ), and Plutchik-van Praag Selfreport Depression Scale (PVP). The ttest and Chisquare test were conducted to compare two groups. Pearson correlation and stepwise multiple linear regression were employed to explore the correlations between PVP and NEQ or FRQ. The Process model was used to testing the mediating effects among NEQ/FRQ/PVP. Results: The nightmare disorder group had higher scores in nightmare frequency, the four factors of NEQ (physical effect, negative emotion, meaning interpretation, horrible stimulation), and PVP than the healthy control group (24.86±18.89, 10.12±3.67, 19.01±3.51, 17.02±3.31, 15.14±3.26, 14.02±4.38; 2.34±1.04, 6.49±2.18, 17.63±4.76, 13.91±4.24, 12.40±4.49, 9.39±3.28)(t=15.79, 10.11, 2.43, 6.09, 5.14, 27.46, P<0.05). The nightmare disorder group reported significantly lower scores in FRQ general attachment and maternal encouragement than the healthy control group (7.22±2.81, 16.39±3.28) (t=-5.53, -4.95). In contrast, they exhibited significantly higher scores in maternal abuse, maternal dominance, paternal freedom release, and paternal dominance than the healthy control group (8.23±1.80, 13.11±3.73, 18.36±3.37, 12.04±3.29; 6.07±1.85, 8.48±3.80, 15.15±2.51, 9.47±3.03) (t=6.70, 8.96, 5.90, 7.04, P<0.01). The results of Pearson correlation analysis showed that, in the nightmare disorder group, the PVP score was positively correlated with negative emotion, nightmare frequency, maternal abuse, and maternal dominance score (r=0.14, 0.63, 0.26, 0.51, P<0.05). The results of multiple linear regression analysis showed that when using FRQ score to predict NEQ score, the adjusted R2 in the nightmare disorder group was 0.01-0.59. Mother abuse could prediced physical effect (β=0.33); maternal dominance significantly predicted negative emotion, horrible stimulation, and nightmare frequency (β=0.29, 0.30, 0.79); paternal freedom release could predict negative emotion (β=0.26), paternal dominance predicted both negative emotion and nightmare frequency (β=0.22, 0.45) (P<0.05). Mediation analysis further revealed that, in the nightmare disorder group, PVP scores served as a mediating variable between FRQ and NEQ. Conclusion Abusive, controlling, and neglectful family upbringing styles as well as depression maybe are key factors that may contribute to the development of nightmare disorder among adolescents.

Objective　To explore the parainfluenza virus (PIV) infection in children hospitalized in Hainan between March 2012 and December 2022, and to analyze its epidemiological characteristics. Methods　The samples were obtained from 62 553 kids with respiratory infections who were hospitalized in the Department of Pediatrics of multiple hospitals in various regions of Hainan from March 2012 to December 2022. Indirect immunofluorescence was employed to detect IgM antibodies in serum for nine respiratory pathogens, including PIV, adenovirus, influenza A virus, Legionella pneumophila, respiratory syncytial virus, Mycoplasma pneumoniae, influenza B virus, Coxiella burnetii, and Chlamydia pneumoniae. Epidemiological and clinical data (time, gender, age, season, etc.) of PIV-IgM antibody-positive cases were analyzed in a descriptive study. Results　The total PIV-IgM antibody positive rate of 62 553 respiratory tract infected children was 3.29% (2 015/62 553), with the highest positive rate of 11.01% (385/3 496) in 2017, and the second highest positive rate of 8.37% (351/4 196) in 2016, which were significantly higher than the positive rate of the rest of the years (P<0.001). The PIV positive rate was 3.18% (1 248/39 225) in males and 3.29% (767/23 328) in females, with no statistically significant difference (P>0.05). PIV infection occurred in all age groups, with the highest positive rate in the 6 to <12 years group at 4.50% (357/7 941), followed by the 3 to <6 years group at 4.47% (656/14 689), significantly higher than other age groups (P<0.001). The highest positive rate for PIV was in summer at 4.30% (693/16 093), followed by 3.78% (598/15 804) in spring, and the lowest rate of 2.27% (342/15 065) in winter, with statistically significant differences (P<0.001). Single PIV infection accounted for 63.08% (1 271/2 015), while mixed infections accounted for 36.92% (744/2 015), and the most common co-infection being with Mycoplasma pneumoniae infection at 23.13% (466/2 015). Conclusions　PIV is an important pathogen for children's acute respiratory infections in Hainan Province, exhibiting year-round sporadic occurrence with alternating high and low periods characteristics. PIV infection is to the gender of the child, predominantly affects preschool and school-age children, peaks in spring and summer, and commonly co-infects with Mycoplasma pneumoniae infection.