Objective: To summarize the best evidence for the management of patients with gastrointestinal graft-versushost disease after hematopoietic stem cell transplantation, and provide evidence-based references for clinical nursing work. Methods: A systematic search was conducted for relevant evidence on the management of patients with gastrointestinal graft-versus-host disease after hematopoietic stem cell transplantation from domestic and foreign databases, as well as websites of blood and bone marrow transplantation related societies. The search period was from the establishment of the database until February 2026. Results: After screening, a total of 19 articles were included, encompassing 3 clinical decisions, 1 recommended practice, 4 guidelines, 7 expert consensuses, and 4 evidence summaries. Twenty-five pieces of best evidence were summarized across 8 aspects: multidisciplinary collaboration, influencing factors, assessment and monitoring, diagnostic differentiation, symptom management, dietary nutrition, medication guidance, and health education. Conclusion: Summarizing the relevant evidence on the management of patients with gastrointestinal graft-versus-host disease after hematopoietic stem cell transplantation can provide evidence-based support for clinical medical staff, and it is recommended to apply it in combination with clinical practice and patient wishes.

To investigate the association between the systemic inflammatory response index (SIRI) and lung cancer prevalence based on the National Health and Nutrition Examination Survey (NHANES) database.

Benign-malignant differentiation and risk stratification of pulmonary nodules are critical issues in lung cancer screening and clinical management. Conventional assessment mainly relies on imaging evaluation， dynamic follow-up， and pathological confirmation， but its diagnostic performance remains limited in clinical scenarios involving small nodules， ground-glass nodules， and inflammatory lesions. In recent years， advances in radiomics， genomics， transcriptomics， proteomics， metabolomics， and microbiomics have provided multi-level biological evidence for the precise evaluation of pulmonary nodules from the perspectives of imaging phenotype， genetic variation， molecular expression， functional status， metabolic reprogramming， and host-microbe interaction. Compared with single-omics approaches， multi-omics integration， through cross-level information fusion， enables a more comprehensive characterization of the biological heterogeneity of pulmonary nodules and further improves the performance of benign-malignant differentiation and risk stratification. Relevant studies showed that the area under the curve （AUC） increased from 0.80-0.87 to 0.93. This review systematically summarizes recent advances in multi-omics research for benign-malignant differentiation and risk stratification of pulmonary nodules， with a focus on their value in biomarker discovery， risk assessment， and clinical decision support. Current challenges， including lack of standardization， insufficient external validation， and barriers to clinical translation， are also discussed to provide references for future research on precision management of pulmonary nodules.

Objective To observe the mechanism of action of electroacupuncture at Neiguan(PC6)points for alleviating lipopolysaccharide(LPS)-induced myocadial dysfunction in sepsis model mice.Methods Forty-eight male C57BL/6 mice were randomly divided into four groups,namely normal control group,saline+electroacupuncture group,sepsis model group,and sepsis+electroacupuncture group.The rats in the sepsis model group and sepsis+electroacupuncture group were given intraperitoneal injection of LPS(5 mg/kg)to induce the sepsis model.The mice were treated with electroacupuncture immediately after injection.At hour 6 after the LPS intervention,the left ventricular short-axis end-systolic diameter(LVIDs)and fractional shortening(FS)of the left ventricular were monitored by color doppler echocardiography.The levels of inflammatory factors such as tumor necrosis factor alpha(TNF-α)and interleukin 6(IL-6)in serum were detected by enzyme-linked immunosorbent assay(ELISA),and the protein expression levels of Rho-kinase(ROCK)1 and ROCK2,and phosphorylation levels of myosin phosphatase substrate 1(MYPT1)and myosin light chain 2(MLC2)in cardiac tissues were detected by Western Blot.Results Compared with the normal control group,the LVIDs in mice in the sepsis model group was increased(P<0.05),FS was decreased(P<0.05),the levels of TNF-α and IL-6 in serum were all elevated(P<0.001),and the level of phosphorylation of MYPT1,a substrate of ROCK,in cardiac tissues was significantly elevated(P<0.05);compared with the sepsis model group,the LVIDs in the sepsis+electroacupuncture group was decreased(P<0.05),FS was increased(P<0.05),the levels of TNF-α and IL-6 in serum were decreased(P<0.05 or P<0.01),and the phosphorylation level of MYPT1 was significantly reduced(P<0.05),and the protein expression levels of ROCK1 and ROCK2 as well as the phosphorylation level of MLC2 had no significant differences(P>0.05).Conclusion Electroacupuncture at Neiguan points may reduce systemic and local inflammatory reaction levels in mice with sepsis model to improve cardiac function through inhibiting the activation of Rho/ROCK signaling pathway in cardiac tissues,thus producing myocardial protection efficacy.

Objective To explore the correlation between cardiac remodeling and the occurrence of contrast-associated acute kidney injury(CA-AKI)assessed by echocardiography.Methods A retrospective analysis was conducted on the clinical data of 100 patients with coronary artery disease(CAD)who underwent coronary angiography(CAG)and percutaneous coronary intervention(PCI)from March 2021 to March 2024.The patients were divided into CA-AKI group and non-CA-AKI group according to whether CA-AKI occurred.Baseline data and echocardiographic parameters,inclu-ding left ventricular end-diastolic internal diameter index(LVIDDI),left ventricular end-systolic in-ternal diameter index(LVIDSI),and left ventricular mass index(LVMI),were collected and com-pared between the two groups.Logistic regression analysis was used to screen for independent influen-cing factors of CA-AKI occurrence.Results The level of N-terminal pro-B-type natriuretic peptide(NT-proBNP)in the CA-AKI group was higher than that in the non-CA-AKI group,and the difference was statistically significant(P＜0.001).Compared with the non-CA-AKI group,the CA-AKI group had higher levels of C-reactive protein and glycosylated hemoglobin(HbA1c),as well as a higher proportion of patients with diabetes and anemia,and the differences were statistically significant(P＜0.05).Echocardiographic data showed that LVMI,LVIDDI,and LVIDSI in the CA-AKI group were all higher than those in the non-CA-AKI group,and the differences were statistically sig-nificant(t=2.057,3.429,2.975;P＜0.05).The left ventricular ejection fraction(LVEF)level in the CA-AKI group was lower than that in the non-CA-AKI group,and the difference was statisti-cally significant(t=3.005,P=0.003).Univariate Logistic regression analysis showed that diabe-tes,anemia,inflammation,NT-proBNP,HbA1c,LVMI,LVIDDI,LVIDSI,LVEF,ventricular hy-pertrophy,and ventricular dilation were significantly associated with the occurrence of CA-AKI(P＜0.05).Multivariate Logistic regression analysis results showed that LVMI(OR=3.81;95％CI,1.04 to 8.50;P=0.045),LVIDDI(OR=4.21;95％CI,2.02 to 6.08;P＜0.001),LVIDSI(OR=1.61;95％CI,1.27 to 2.03;P=0.024),ventricular hypertrophy(OR=3.42;95％CI,1.83 to 4.44;P=0.001),and ventricular dilation(OR=2.93;95％CI,1.43 to 3.74;P=0.033)were independent influencing factors for the occurrence of CA-AKI.Conclusion Cardiac remodeling is significantly correlated with the risk of CA-AKI in CAD patients.Clinicians should take protective measures timely for patients with abnormal cardiac structure to prevent the occurrence of CA-AKI.

Objective To explore the factors affecting the success rate of operation in patients with end-stage renal disease by analyzing and comparing the differences of patients'basic conditions and clinical laboratory data.Methods A total of 107 patients who underwent forearm autogenous arteriovenous fistula surgery in Nujiang Lisu Autonomous Prefecture People's Hospital from January 2021 to August 2024 were selected and divided into AVF failure group and AVF success group according to whether internal fistula occluded during the operation or within 1 week after the operation.The basic data and clinical laboratory data of enrolled patients were collected.Correlation statistical methods were used to compare whether there were differences between the two indexes.Results Univariate analysis showed that there were statistically significant differences between the two groups in smoking history,diabetes history,nephritic syndrome history,gender,preoperative blood pressure,hemoglobin,low density lipoprotein and total cholesterol(P<0.05).However,There was no significant difference between the two in history,age,white blood cell count,neutrophil count,lymphocyte count,monocyte count,platelet,creatinine,urea nitrogen,triglyceride,blood calcium,blood phosphorus,calcium-phosphorus product,fibrinogen,D-dimer and albumin(P>0.05).Binary Logistic regression analysis showed that gender,diabetes history,nephritic syndrome history,preoperative blood pressure,hemoglobin and low-density lipoprotein were independent risk factors for AVF initiation failure(P<0.05).Conclusion Female patients,history of diabetes mellitus,history of nephrotic syndrome,low hemoglobin,elevated low-density lipoprotein,and poor blood pressure control are independent factors affecting the failure of AVF initiation.

Objective:To analyze the effect of long noncoding RNA (lncRNA) small nucleolar RNA host gene 16 (SNHG16) on the radiosensitivity of cervical cancer cells and explore its regulatory role in the miR-455-3p/ nuclear factor-κB (NF-κB) signaling pathway.Methods:The expression levels of lncRNA SNHG16 and miR-455-3p in human normal cervical epithelial cells H8, human cervical cancer cells SiHa, and radioresistant cervical cancer cells SiHa-R were detected by real-time reverse transcription polymerase chain reaction. SiHa-R cells were transfected separately, and then given a single dose of 4 Gy X-ray irradiation and continued to be cultured for subsequent experiments. The cells in each group were named siRNA-NC, siRNA-SNHG16 (interfering lncRNA SNHG16), NC mimic, miR-455-3p mimic (overexpressing miR-455-3p), siRNA-SNHG16+inhibitor NC, and siRNA-SNHG16+miR-455-3p inhibitor groups, respectively. The survival fraction of SiHa-R cells was detected by clone formation assay. The apoptosis rate of SiHa-R cells was analyzed by flow cytometry. The expression levels of apoptotic proteins [cysteine-containing aspartate-specific protease (Caspase)-3, Caspase-9, Bax] and NF-κB signaling pathway related proteins [NF-κB p65, phosphorylated (p)-NF-κB p65, p-IκB (inhibitory protein of NF-κB)] were measured by Western blot. The targeting relationship between lncRNA SNHG16 and miR-455-3p was determined by dual luciferase reporter gene assay. Comparison among different groups was conducted by one-way ANOVA, and paired comparison was carried out by LSD t-test. Comparison between two groups was performed by t-test. Results:Compared with H8 cells, the expression levels of lncRNA SNHG16 were increased in SiHa and SiHa-R cells, and SiHa-R cells had a higher level than SiHa cells. The expression levels of miR-455-3p were decreased in SiHa and SiHa-R cells, and SiHa-R cells had a lower level than SiHa cells (all P<0.001). Compared with the siRNA-NC group, the survival fraction of SiHa-R cells in the siRNA-SNHG16 group was decreased, the radiosensitization ratio (SER) was 1.571 (>1), the apoptosis rate and levels of Caspase-3, Caspase-9, and Bax proteins were increased, while the levels of p-NF-κB p65 and p-IκB proteins were decreased (all P<0.001). lncRNA SNHG16 could target miR-455-3p. Compared with the NC mimic group, miR-455-3p level in the miR-455-3p mimic group was increased, cell survival fraction was decreased, the SER was 1.826 (>1), the apoptosis rate and the levels of Caspase-3, Caspase-9, Bax proteins were increased, and the levels of p-NF-κB p65 and p-IκB proteins were decreased (all P<0.001). Inhibition of miR-455-3p expression could weaken the effect of interfering with lncRNA SNHG16 expression on SiHa-R cell apoptosis, radiotherapy sensitivity, and NF-κB signaling pathway (all P<0.001). Conclusions:Interference with lncRNA SNHG16 expression could induce the apoptosis of cervical cancer cells and enhance their radiation sensitivity by regulating the miR-455-3p/NF-κB signaling pathway.

This article reported the diagnosis and management of a case of a child with Kabuki syndrome. Kabuki syndrome is characterized by distinct facial features, skeletal anomalies, abnormal skin texture, and intellectual disabilities, and is primarily caused by heterozygous mutations in the lysine methyltransferase 2D(KMT2D) gene. The onset in this patient was insidious, presenting with short stature and intellectual impairment. Genetic testing identified a pathogenic heterozygous variant in the KMT2D gene. This article focuses on analyzing the necessity and appropriateness of growth hormone therapy in children with Kabuki syndrome, and includes a review of relevant literature to improve clinicians′ understanding of this rare condition.

Objective To explore the application value of MR MAGiC sequence reconstructed based on deep learning reconstruction(DLR)for localizing epileptogenic focus of intractable epilepsy.Methods Fifty intractable epilepsy patients(epilepsy group)and 20 healthy controls(control group)were retrospectively collected.Brain MR MAGiC sequence was scanned,then traditional reconstruction(inverse Fourier transform)and DLR algorithm were performed to obtain MAGiC and MAGiC DLR images,respectively.The corresponding quantitative parameter maps were generated after post-processing,including T1 mapping,T2 mapping and proton density(PD)mapping.The subjective scores of noise,artifacts,structural clarity and overall quality were compared between two kinds of quantitative parameter images.The asymmetry index(AI)of quantitative parameters(T1,T2 and PD values)between the affected side and the contralateral side in epilepsy group,the contralateral side or the suspected epileptogenic focus in epilepsy group and HC group were calculated.Then epileptogenic focus were localized based on performance of MAGiC and MAGiC DLR corresponding quantitative parameter maps combining obtained AI of quantitative parameter values.According to surgical results,follow-up review,electroencephalogram or PET results,the accuracy of MAGiC and MAGiC DLR images for localizing epileptogenic focus was calculated.Results Compared with MAGiC quantitative parametric maps,noise of MAGiC DLR quantitative parametric maps reduced,while subjective scores of structure clarity and overall quality improved(all P＜0.05).The accuracy of MAGiC and MAGiC DLR images for localizing epileptogenic focus was 82.00％(41/50)and 88.00％(44/50),respectively.Conclusion MR MAGiC sequence based on DLR was beneficial for improving accuracy of localizing epileptogenic focus in intractable epilepsy.

Objective To develop a combined model integrating radiomics and 3D deep learning features for improving the predictive efficacy of overall survival in non-small cell lung cancer(NSCLC)patients undergoing radiotherapy,thereby providing a foundation for optimizing individualized radiotherapy strategies.Methods A retrospective analysis was conducted on 522 NSCLC patients from 3 centers.Radiomics features were extracted from the tumor region of interest on radiotherapy planning CT scans,and a 3D-SE-ResNet was constructed to extract deep learning features.Following feature extraction,features were selected via univariate Cox analysis and Lasso-Cox regression,and a combined model was established by fusing the two feature types through principal component analysis.The discriminative ability of the model was evaluated using the concordance index(C-index)and the area under the receiver operating characteristic curve(AUC),while the risk stratification efficacy was verified by Kaplan-Meier survival analysis.Results The predictive performance of deep learning features was significantly superior to that of radiomics features(C-index:0.73 vs 0.65).The combined model achieved the highest predictive performance in the training set,internal test set,and external test set(C-index:0.74,0.69,0.72 respectively),with higher AUC values for predicting 1-year,2-year,and 3-year OS than either single model.Kaplan-Meier analysis showed significant differences in survival between the high-and low-risk groups(Log-rank test,P<0.001),and calibration curves indicated good consistency between predicted and actual survival outcomes.Conclusion The combined model integrating radiomics and 3D deep learning features can accurately predict survival outcomes in NSCLC patients undergoing radiotherapy.The multi-center validation results support its potential application in prognosis stratification for individualized radiotherapy.