ObjectiveTo investigate the imaging features of calcium salt deposition and serological markers in patients with alveolar echinococcosis through a retrospective analysis， as well as independent risk factors for the degree of calcium salt deposition in lesions， and to provide a basis for assessing disease process. MethodsA retrospective analysis was performed for the imaging and clinical data of 107 patients with alveolar echinococcosis who were admitted to The First Affiliated Hospital of Shihezi University from December 2023 to June 2025， and according to the volume of calcium salt deposition， they were divided into non-deposition group with 16 patients， mild deposition group with 52 patients， moderate deposition group with 16 patients， and severe deposition group with 23 patients. A one-way analysis of variance or the Kruskal-Wallis H test was used for comparison of continuous data between groups， and the χ² test or Fisher’s exact test was used for comparison of categorical data between groups. The four groups were further combined into the low deposition group （no/mild deposition） and the high deposition group （moderate/severe deposition）. A binary logistic regression analysis was used to investigate the independent influencing factors for calcium salt deposition， and a predictive model was established. The receiver operating characteristic （ROC） curve was used to assess the predictive performance of the model， and the Bootstrap method was used for internal validation. ResultsThere were significant differences between the four groups in sex distribution， involvement of other sites， white blood cell count， lymphocyte percentage， fibrinogen， uric acid， sodium ion， chloride ion， and calcium ion （all P<0.05）. The univariate analysis showed that there were significant differences between the four groups in sex， involvement of other sites， white blood cell count， lymphocyte percentage， fibrinogen， alanine aminotransferase， albumin， creatinine， uric acid， sodium ion， chloride ion， and calcium ion （all P<0.1）. The multi-collinearity diagnosis showed that the VIF values for all continuous variables ranged from 1.104 to 1.760， suggesting that collinearity did not affect modeling. An ordinal logistic regression model was established based on sex， involvement of other sites， calcium ion， lymphocyte percentage， and uric acid. The multivariate analysis showed that lymphocyte percentage （odds ratio ［OR］=1.106， 95% confidence interval ［CI］： 1.041 — 1.174， P=0.001） and blood calcium level （OR=0.005， 95%CI： 0.000 —0.230， P=0.007） were independent influencing factors for the degree of calcium salt deposition. The regression equation was established as Logit（P）=8.231 + 0.100 × lymphocyte percentage -5.344 × calcium ion. The ROC curve analysis showed that the model had an area under the ROC curve of 0.716， with a Youden index of 0.353， a sensitivity of 1.000， and a specificity of 0.353. The Hosmer-Lemeshow test showed that the model had poor calibration （χ²=20.688， P=0.008）. The Bootstrap method with 1000 repeated samples showed that the estimated values of lymphocyte percentage （OR=1.106， 95%CI： 1.049 — 1.186， P=0.002） and calcium ion （OR=0.005， 95%CI： 0.000 — 0.214， P=0.010） were consistent with the original model， and the confidence intervals did not include 1， which further supported the reliability of the model. ConclusionBoth lymphocyte percentage and blood calcium level are independent influencing factors for calcium salt deposition in alveolar echinococcosis， and the degree of calcium salt deposition in alveolar echinococcosis lesions increases with the reduction in blood calcium level and the increase in lymphocyte percentage.

Tuberous sclerosis complex (TSC) is an autosomal dominant genetic disorder primarily caused by pathogenic variants in the TSC1 or TSC2 genes. It is characterized by multisystem hamartomatous lesions and neuropsychiatric manifestations. Here we report a young male patient with TSC involving multiple organs, caused by a heterozygous frameshift mutation in TSC2 (c.2071delC, p.Arg691Alafs^*7). The patient initially presented with classic facial angiofibromas and hypomelanotic macules, and subsequently developed psychiatric and behavioral disturbances with auditory hallucinations. Neuroimaging revealed an intracranial mass lesion, which was confirmed as a subependymal giant cell astrocytoma on postoperative histopathology following surgery performed at an outside institution. After admission, the patient underwent a comprehensive diagnostic workup, and multidisciplinary treatment evaluation revealed extensive multisystem involve-ment, including the nervous system, skin, kidneys, lungs, heart, eyes, pancreas, liver and bones. Combined with relevant literature, this article discusses the molecular mechanisms, clinical phenotypes, and comprehensive management of TSC, in order to provide a reference for the standardized and individualized management of this disease.

ObjectiveTo analyze the characteristics of 150 patients with spinal cord injury complicated with spasticity. MethodsA cross-sectional survey was conducted on 150 patients with spinal cord injury accompanied by spasticity from September, 2019 to December, 2024. Their age, gender, cause of injury, injury site, severity of injury, spasticity severity and other indicators were recorded. The relationships between different characteristics were analyzed, and a correlation analysis of disease duration, spasticity grade, injury level, injury severity and age were conducted. ResultsThere was no significant difference in age distribution between patients with tetraplegia and paraplegia (Z = 0.806, P = 0.420). The proportions of trauma (χ² = 3.982, P = 0.046) and tetraplegia (χ² = 10.559, P = 0.010) were higher in males than in females. Trauma was the main cause of injury in both tetraplegia and paraplegia patients; the proportion of tetraplegia was higher than paraplegia in trauma patients, while paraplegia was higher than tetraplegia in non-trauma patients (χ² = 11.885, P < 0.001). Patients with tetraplegia was dominated by incomplete injury, whereas patients with paraplegia was dominated by complete injury (χ² = 10.885, P = 0.012). Grade A injury was predominant in trauma patients (P = 0.003). Spasticity grade showed a very weak positive correlation with disease duration (r = 0.175, P = 0.032) and age (r = 0.168, P = 0.040). Injury severity showed a very weak positive correlation with age (r = 0.183, P = 0.025). ConclusionCharacteristics of patients with spinal cord injury complicated with spasticity is different with gender, cause of injury, injury level, injury severity.

OBJECTIVE To construct a closed-loop management model for externally dispensed intravenous prescriptions， and to provide reference for standardized management of externally dispensed intravenous prescriptions. METHODS Based on the Expert Consensus on Closed-loop Management of Externally Dispensed Intravenous Prescriptions in Guangxi Zhuang Autonomous Region previously formulated by our hospital， risk points during the entire process were systematically identified through multidisciplinary team brainstorming and a fishbone diagram. A series of strategies were subsequently formulated and implemented， including qualifying designated external dispensing pharmacies and the drug catalogs， operating and maintaining the hospital information system and the Pharmacy Intravenous Admixture Service （PIVAS） intelligent management platform， and strengthening differentiated training for staff in the whole workflow. A whole-process closed-loop management system was constructed with PIVAS as the co re hub and the daytime chemotherapy center as the safety terminal. RESULTS A total of 3 cooperating pharmacies and an initial drug list comprising 35 product specifications were selected. A closed‑loop management process encompassing hospital outpatient prescribing， patient drug purchase in designated pharmacies， PIVAS drug dispensing， and medication use in daytime chemotherapy center was successfully established. This system enabled the mandatory grouping and association of externally dispensed intravenous prescriptions with in-hospital diluents， full-process verification based on drug traceability codes， intelligent monitoring of infusion parameters， and whole-process data traceability. CONCLUSIONS The constructed model effectively resolves the coordination and safety oversight during the use of externally dispensed intravenous drugs from out-of-hospital circulation to in-hospital use， and has preliminarily enabled procedural standardization， whole-process information traceability， and proactive control of medication risks.

BACKGROUND:The stemness index may be associated with the prognosis and immune infiltration of sarcoma,but the specific regulatory mechanism and characteristic genes have yet to be fully elucidated. OBJECTIVE:To investigate the correlation between stem cells and prognosis as well as immune infiltration in sarcoma employing the gene stemness index model and to identify the ferroptosis signature genes associated with sarcoma stem cells. METHODS:The sarcoma RNA sequencing data and related clinical information were obtained from the Cancer Genome Atlas(TCGA).The sarcoma RNA sequencing data were grouped using the sarcoma stemness index.Survival data were used to analyze prognosis between groups.Differentially expressed genes were obtained for pathway enrichment and immune infiltration analysis.Ferroptosis-related differential genes were used to construct a protein interaction network and analyze prognostic correlation.Rhabdomyosarcoma cell lines were cultured and divided into adherent cell group and stem cell group.The adherent cell group received no intervention,while the stem cell group was treated with serum-free culture to enrich stem cells in rhabdomyosarcoma cells.qRT-PCR was used to evaluate stemness markers,ferroptosis-related genes,and mRNA expression of ferroptosis-related markers in the cells. RESULTS AND CONCLUSION:(1)Patients were divided into high and low stemness index groups based on the median stemness index.The progression-free survival of patients in the high stemness index group was lower than that in the low stemness index group by disease risk prediction,suggesting poor prognosis.(2)According to GO and KEGG analysis,the groups with high and low stemness indices differed from one another.There were differences in immune infiltration between the high and low stemness index groups.Nine of the 23 ferroptosis-related genes in the differential genes have the potential to establish a highly correlated network of protein interactions.Patients with high expression of IDO1,IFNG,and AQP5 have a better prognosis,while those with high expression of CA9 have a poor prognosis.(3)The qRT-PCR results demonstrated a significant upregulation of stem cell-related markers NANOG,SOX2,and OCT4 mRNA expressions in the stem cell group compared to the adherent cell group(P<0.05).Compared to the adherent cell group,the stem cell group exhibited decreased mRNA expression level of ferroptosis-related marker SLC7A11(P<0.05)while showing increased levels of ACSL4,GPX4,FTH1,and COX2(P<0.05).Compared to the adherent cell group,the stem cell group displayed decreased mRNA expression level of differentially expressed gene CA9 alongside elevated levels of IDO1,IFNG,and AQP5(P<0.05).Stem cells were strongly associated with sarcoma survival and ferroptosis by bioinformatics analysis and experimental verification.Sarcoma stem cells have aberrant expression of CA9,IDO1,IFNG,and AQP5,which may serve as new targets for sarcoma therapy as well as diagnostic indicators.

Objective To introduce the fundamental principles of the multivariate functional mixed model(MFMM)and provide a methodological basis for interpreting the principal components derived from dimension reduction of multivariate functional data.Methods The MFMM models the mean function,auto-covariance function,and cross-covariance function within functions non-parametrically,clearly separating the shared latent processes common to all indicators from the specific latent processes unique to each indicator.In the case study,data from colorectal cancer patients at the Yunnan Cancer Hospital are used to extract the common and specific principal components of longitudinal carcinoembryonic antigen(CEA)and carbohydrate antigen 125(CA125)within 12 months post-surgery using MFMM,coupled with interpretation through a random survival forest prediction model.Results The MFMM identified 2 shared principal components for CEA and CA125,5 specific components for CEA,and 5 specific components for CA125.The random survival forest prediction model constructed based on these extracted components showed higher prediction accuracy than the baseline model.Furthermore,variable importance analysis revealed that the first specific component of CEA was the most important predictive variable after clinical baseline variables,while the importance of CA125 specific components was lower than that of CEA,consistent with the current consensus on colorectal cancer.Conclusion MFMM effectively manages the correlations among multiple longitudinal indicators and their changes over time,capturing the shared and specific processes of multiple longitudinal measurement indicators as they evolve.This enhances the model's interpretability and offers theoretical and practical advantages.

Objective:To investigate the therapeutic efficacy of autologous hematopoietic stem cell transplantation (auto-HSCT) for treatment of diffuse large B-cell lymphoma (DLBCL) and the factors affecting the prognosis.Methods:A retrospective case series study was conducted. The clinical data of 51 patients with DLBCL who underwent auto-HSCT in the First Affiliated Hospital of Xinjiang Medical University from March 2019 to January 2024 were retrospectively analyzed. Patients were divided into high-risk group (19 cases) and non-high-risk group (low-risk, low-moderate-risk and moderate-high-risk groups, 32 cases) based on different risk stratifications; patients were divided into the germinal center B-cell (GCB) group (29 cases) and non-GCB group (22 cases) based on different cellular origins; patients were divided into BEAM group (39 cases) and BeEAM group (12 cases) based on different conditioning regimens before auto-HSCT; patients were divided into auto-HSCT consolidation therapy group (41 cases) and auto-HSCT after relapsed/refractory group (10 cases) based on different transplantation timings. The Kaplan-Meier method was used for survival analysis and log-rank was used for subgroup comparison.Results:All 51 patients achieved the hematopoietic reconstitution with no transplantation-related death within 100 d. Before auto-HSCT, 39 cases achieved complete remission and 12 cases (23.5%) achieved partial remission. After auto-HSCT, all cases achieved complete remission. Follow-up was until May 31, 2024, and the median follow-up time [ M ( Q1, Q3)] of 51 DLBCL patients was 33 (8, 43) months. After 51 DLBCL patients receiving auto-HSCT, 7 patients relapsed and 6 cases died including 3 cases with relapse-related death and 3 cases with non relapse-related death. The 3-year progression-free survival (PFS) and overall survival (OS) rates were 78.5% (95% CI: 64.4%-92.6%) and 85.5% (95% CI: 73.2%-97.8%), respectively. The 3-year PFS rate was 94.7% (95% CI: 84.7%-104.7%) in the high-risk group, 82.2% (95% CI: 67.9%-96.5%) in the non-high-risk group, and the difference in the PFS was not statistically significant between the high-risk group and the non-high-risk group ( P = 0.158). The 3-year PFS rate was 80.1% (95% CI: 64.4%-95.8%) in the GCB group, 88.1% (95% CI: 72.3%-104.2%) in the non-GCB group, and the difference in PFS was not statistically significant between the 2 groups ( P = 0.803). The 3-year PFS rate was 84.9% (95% CI: 72.6%-97.2%) in BEAM group, 61.1% (95% CI: 25.0%-97.2%) in the BeEAM group, and the difference in PFS was not statistically significant between the 2 groups ( P = 0.106). The 3-year PFS rate was 85.4% (95% CI: 73.4%-97.4%) in the auto-HSCT consolidation therapy group, 64.3% (95% CI: 31.4%-96.4%) in the auto-HSCT after relapsed/refractory group, and the difference in PFS was not statistically significant between the 2 groups ( P = 0.171). Conclusions:auto-HSCT is an effective therapy method for DLBCL.

This article summarizes the experience of providing remote nursing care for a pediatric patient with severe burns using augmented reality(AR)technology.Key nursing points include:to establish a remote management team to enhance multidisciplinary collaboration;to conduct remote nursing ward rounds to provide real-time guidance for clinical nursing practice;to remotely guide PICC(Peripherally Inserted Central Catheter)insertions and conduct precise fluid management;to remotely assess ward environments and provide guidance on disinfection and isolation measures;to alleviate pediatric pain through comprehensive management measures.After meticulous care and treatment,the patient's condition stabilized after 23 days,and the patient was transferred to a specialized hospital for continued treatment requiring skin grafting.

Objective:To determine if preoperative 68Ga-fibroblast activation protein inhibitor (FAPI)-04 PET/MR could contribute to predicting pathological complete response (pCR) in patients with gastrointestinal cancer undergoing neoadjuvant immunotherapy. Methods:In this retrospective study, 35 patients (23 males, 12 females, age (59.1±7.9) years) with gastrointestinal cancer who underwent 68Ga-FAPI-04 PET/MR after receiving neoadjuvant immunotherapy between February 2021 and January 2024 were enrolled. Clinical data, PET imaging parameters including SUV, peak of SUV normalized by lean body mass (SUL peak), FAPI-positive tumor volume (FTV), and total FAPI-positive lesion burden (TLF), and pathological data were collected and analyzed. Patients were divided into pCR group and non-pCR group, and the independent-sample t test or Mann-Whitney U test was performed to compare those parameters between the 2 groups. ROC curve analysis (Delong test) was performed to evaluate the diagnostic efficiency of each parameter to predict pCR. Results:The overall pCR rate of the neoadjuvant therapy was 40.0%(14/35). In the visual evaluation, 68Ga-FAPI-04 PET was limited in predicting pCR, showing false positivity in 12 patients and false negative in 1 patent. While SUV max( t=2.50, P=0.018), SUL peak( t=3.11, P=0.004), FTV( U=3.00, P=0.030) and TLF( U=2.96, P=0.042) in non-pCR group were all higher than those in pCR group. The predictive efficiency of FTV <1.925cm 3 for pCR was better than the efficiency of PET visual evaluation ( Z=3.61, P<0.001), with the prediction accuracy of 82.86%(29/35). Conclusions:68Ga-FAPI-04 PET/MR may provide an effective clinical tool for guiding further treatment of patients with gastrointestinal cancer undergoing neoadjuvant immunotherapy. The quantitative features derived from 68Ga-FAPI-04 PET appear promising in predicting pCR, which are expected to provide a reference for avoiding surgery.

Objective:To explore the categories and influencing factors of depression in mild cognitive impairment (MCI) patients, so as to provide a reference for formulating precise interventions for depression in MCI patients.Methods:A cross-sectional investigation was conducted. Patients with MCI admitted to the Department of Neurology, The First Affiliated Hospital of Nanchang University from December 2022 to December 2023 were selected as the investigation objects by convenience sampling method. The general data questionnaire, Hamilton Depression Rating Scale-17, Montreal Cognitive Assessment Scale and Lubben Social Network Scale-6 were used to conduct a survey. Latent profile analysis and multiple Logistic regression analysis were used to explore the categories and influencing factors of depression.Results:A total of 537 patients with MCI were included, including 335 females and 202 males, aged (65.72 ± 9.53) years old. MCI patients scored (22.67 ± 4.68) points on the Montreal Cognitive Assessment Scale, (13.27 ± 5.73) points on the Lubben Social Network Scale-6, and 9.00 (5.00, 13.00) points on the Hamilton Depression Rating Scale-17. The depression in MCI patients could be divided into three categories: low risk depression (67.8%, 364/537), low depression-sleep disorder (20.1%, 108/537), and high depression-anxiety (12.1%, 65/537). The multiple Logistic regression analysis showed that gender, education, living style, social isolation and cognitive function were the influencing factors for different categories of depression ( OR values were 0.443-2.921, all P<0.05). Conclusions:There are individual differences in depression in patients with MCI, and precise intervention should be implemented according to the characteristics of different categories of depression.