AIM: To investigate the current incidence of retinopathy of prematurity(ROP)in Sichuan Province and analyze its risk factors, providing a scientific basis for establishing and improving the regional ROP screening and prevention system.METHODS: A retrospective study was conducted on premature infants who underwent fundus screening at the Departments of Ophthalmology and Neonatology of Sichuan Provincial Maternity and Child Health Care Hospital from January 20, 2017 to February 10, 2025. The incidence of ROP was calculated. The patients were divided into ROP group and non-ROP group according to whether ROP occurred, and the clinical characteristics of the two groups were compared. Multivariate Logistic regression was used to analyze risk factors for ROP.RESULTS:This study included a total of 861 premature infants, with 445 males(51.7%)and 416 females(48.3%).ROP occurred in 166 cases, with an incidence rate of 19.3%, and the non-ROP group consisted of 695 cases. The mean gestational age of the ROP and non-ROP groups was 30.24±2.20 and 33.06±1.90 wk(P<0.01), while the mean birth weight was 1438.94±389.66 and 1977.32±438.68 g(P<0.01). By comparing the clinical data of the two groups of preterm infants, the following factors were found to be associated with the occurrence of ROP: younger gestational age, low birth weight, history of oxygen therapy, respiratory distress syndrome, intracranial hemorrhage, neonatal anemia, bronchopulmonary dysplasia, patent ductus arteriosus, and sepsis(all P<0.01). Multivariate Logistic regression analysis revealed that gestational age(OR=0.685,95%CI:0.592-0.792,P<0.01), birth weight(OR=0.999,95%CI:0.998-0.999,P<0.01), and respiratory distress syndrome(OR=2.312,95%CI:1.313-4.070,P<0.01)were risk factors for ROP. Gestational age had the greatest impact.The younger the gestational age at birth, the higher the risk of ROP.CONCLUSION:The incidence of ROP in Sichuan Province is relatively high compared to multicenter results from China. Significant risk factors include younger gestational age, low birth weight, and respiratory distress syndrome. Screening criteria should be formulated based on the local incidence of ROP, and a screening, prevention, and treatment system for ROP should be established and improved.

Based on his extensive clinical experience and the team's mechanistic research, Professor XU Nenggui has proposed the academic concept that "the governor vessel governs the brain and treats cerebral viscus diseases", and established a novel acupuncture approach for encephalopathy treatment centered on the integrated theory of "governor vessel-brain-mind", and developed a staged acupuncture protocol of "governor vessel regulating spirit" for ischemic stroke. This article introduces the academic features of this method in treating post-stroke dysphagia from four aspects: theoretical framework, treatment principles and point selection, mechanistic research, and clinical case studies. In clinical application, the method emphasizes syndrome differentiation based on meridians, harmonization between the conception and governor vessels; precise acupoint selection to treat both form and spirit; stage-specific differentiation with targeted needling. Furthermore, Professor XU integrates basic research with clinical practice, focusing on the neurobiological mechanisms underlying the efficacy of acupuncture in treating post-stroke dysphagia.
Acupuncture Therapy/methods* ; Humans ; Deglutition Disorders/psychology* ; Stroke/complications* ; Meridians ; Acupuncture Points

Objective To investigate the value of intraoperative ultrasound radiomics for predicting isocitrate dehydrogenase 1(IDH1)mutation of high-grade glioma.Methods Ninety-five patients with high-grade glioma(WHO grade Ⅲ and Ⅳ)who underwent craniotomy glioma resection and ultrasound assisted tumor localization during operation and then confirmed by pathology were retrospectively enrolled.The patients were divided into training set(n=66,including 24 IDH1 mutation type and 42 IDH1 wild type)and validation set(n=29,including 11 IDH1 mutation type and 18 IDH1 wild type)at the ratio of 7∶3.Based on intraoperative ultrasound,radiomics features were extracted,the best ones were screened,and a radiomics model was established for predicting IDH1 mutation of high-grade glioma using random forest algorithm.Receiver operating characteristic(ROC)curve was plotted,the area under the curve(AUC)was calculated to evaluate the predictive efficacy of the model,and decision curve analysis(DCA)was used to evaluate the clinical value of the model.Results A total of 851 radiomics features were extracted based on intraoperative ultrasound,and finally 5 best ones were screened out to construct a radiomics model.The AUC of the radiomics model for predicting IDH1 mutation of high-grade glioma in training and validation sets was 0.902 and 0.707,respectively,with no significant difference(P=0.097).DCA maps showed that the clinical net benefit of the radiomics model was high.Conclusion Intraoperative ultrasound radiomics could effectively predict IDH1 mutation of high-grade glioma.

To address the challenges of complex digital model management and difficulties in model interoperability during the development of sophisticated products,this paper proposes an intelligent cloud architecture-based method for MBSE(model-based systems engineering)model microservice aggregation and adaptive integration.By introducing ontology semantic annotation and hash encoding mechanisms,we achieve unified encapsulation and service-oriented management of heterogeneous modeling tool resources.Combined with model virtual execution modes and dynamic resource orchestration technology,we design a task-oriented of Model-Based Microservice Deployment Framework,significantly improving model service scheduling efficiency and resource utilization.Leveraging a service-cluster-based model aggregation approach,we employ Hamming distance to calculate model capability compatibility,optimizing model discovery and orchestration processes.The prototype implementation and multi-phase experimental validation conducted in a domestic private cloud environment demonstrate that the proposed method effectively supports digital development across the entire lifecycle of aerospace products,enhancing model resource sharing and system integration efficiency.

The purpose of this study is to investigate the effect of TPCK trypsin on the proliferation pattern of porcine epidemic diarrhea virus in Vero cells.The TPCK trypsin and conventional tryp-sin were added for virus proliferation,and RT-qPCR technology was used to analyze the changes in virus adsorption and invasion in Vero cells.The replication ability of porcine epidemic diarrhea vi-rus in Vero cells was explored through growth curve drawing,IFA identification,and cell activity detection.The results showed that the optimal concentrations of TPCK trypsin and conventional trypsin were 1 mg/L and 6 mg/L,respectively.The virus showed a decreasing trend with the pro-longation of TPCK trypsin and conventional trypsin pretreatment time.Adding different pancreatic enzymes during the virus proliferation process did not promote the virus invasion in Vero cells.Af-ter 4 h of invasion,the virus particles of each group gradually increased.By plotting the growth curve,it was found that the virus content of the TPCK trypsin group reached its highest level at 24 h(lgTCID50=(6.30±0.14)/0.1 mL),followed by a decreasing trend at 36 h,and the fluorescence intensity produced at 24 h was higher than that of conventional trypsin.In summary,TPCK trypsin has a better promoting effect on the proliferation of porcine epidemic diarrhea virus in Vero cells.It provided theoretical basis for further research on the mechanism of TPCK trypsin affecting porcine epidemic diarrhea virus proliferation,and also provided data support for the isola-tion and purification of porcine epidemic diarrhea virus epidemic strains.

To rapidly and accurately detect Mycobacterium avium subsp.paratuberculosis(MAP),this study designed and screened primers and probes using its specific gene F57 as the detection target,established a recombinant enzyme-mediated isothermal amplification(RAA)fluorescence detection method,and applied this method to detect 116 clinical samples from cattle and sheep.The results showed that using the primer and probe combination B12F/B2R(0.4 μmol/L)+Probe B(0.12 μmol/L),MAP could be detected at a constant temperature of 42 ℃ within 20 min;this de-tection method had no cross-reaction with 11 common pathogens such as Escherichia coli,Clos-tridium,and bovine viral diarrhea in sheep and cattle;the lowest detection limit was 1.0×102 cop-ies/μL;the coefficient of variation was 3.77％—5.29％;24 clinical samples were positive,with a co-incidence rate of 88.89％with GBT27637-2011.In summary,this study established a fluorescent RAA detection method for MAP,which is simple,rapid,highly specific,sensitive,reproducible,and has a high coincidence rate with national standards,making it suitable for clinical detection and epi-demiological studies.

Swine enteric coronaviruses(SeCoV),such as porcine epidemic diarrhea virus(PEDV),transmissible gastroenteritis virus(TGEV),and porcine delta coronavirus(PDCoV),cause severe diarrhea in piglets,resulting in substantial losses in pig farming.In this study we establish a triple fluorescence reverse transcription-quantitative PCR(RT-qPCR)method for the simultaneous de-tection of PEDV,TGEV,and PDCoV.The specific primers and probes for each target virus were designed based on conserved sequences from the PEDV M gene,the TGEV ORF 1b gene,and the PDCoV ORF 1b gene respectively.Following the optimization of parameters and conditions,a triple RT-qPCR method was successfully established to simultaneously detect PEDV,TGEV,and PD-CoV.The developed assay exhibits strong specificity for these three pathogens without any cross-reaction with other common porcine viruses like CSFV,PCV2,PoRVA,PRV,and PRRSV.The de-tection limit of linear templates for pTOPO-PEDV 128,pTOPO-TGEV 116,and pTOPO-PDCoV 125 recombinant plasmids were 16.835,17.610 and 17.020 copies/μL,respectively.The intra group and inter group coefficients of variation were less than 5％,with no significant differences observed(P＞0.05).Moreover,the detection consistency rate of the developed RT-qPCR was compared with standard method and showed 100％agreement.Out of 35 small intestine tissue samples,17 tested positive for PEDV,resulting in a positive rate of 48.57％(17/35).The tests for TGEV and PDCoV yielded negative results,and no mixed infections were detected.Based on the above results,the tri-ple RT-qPCR method established is specific,sensitive,stable,and rapid,and can be used for clinical detection and differential diagnosis of PEDV,TGEV,and PDCoV simultaneously,providing a method for the detection and epidemiological investigation of porcine diarrhea coronaviruses.

Objective To develop a core outcome set(COS)for clinical effectiveness trials of heart failure with preserved ejection fraction(HFpEF).Methods Outcome measures were collected through database literatures search,clinical experts questionnaire survey and semi-structured patients interview.Then,the outcome measures pool was constructed and domains were divided.Candidate outcome measures of COS were screened through two rounds of Delphi survey.Finally,a consensus meeting was held to determine COS and reach a consensus.Results A total of 317 outcome measures which could be divided into 6 domains were collected through literature research,questionnaire survey and semi-structured interview.15 candidate outcome measures of COS were screened through two rounds of Delphi survey.Finally,the consensus meeting reached consensus on a COS with 6 entries.Conclusion In this study,a COS for clinical effectiveness trials of HFpEF was developed,which is conducive to the standardization of efficacy evaluation.

Objective To observe the clinical efficacy Yizhi Qingxin Prescription combined with warming-needle muxibustion in the treatment of vascular cognitive impairment(VCI)after cerebral infarction,and to explore its effect on cognitive function.Methods A total of 110 cases of patients with definitive diagnosis of VCI after cerebral infarction admitted to Beijing Bo'ai Hospital from February 2020 to February 2023 were selected for the study.The patients were randomly divided into a control group and an observation group according to random number table method,with 55 cases in each group.The control group was treated with Donepezil Hydrochloride,and the observation group was treated with Yizhi Qingxin Prescription combined with warming-needle muxibustion on the basis of the treatment of the control group,the course of treatment covered four consecutive weeks.After one month of treatment,the clinical efficacy of the two groups was evaluated,and the changes in the scores of the Mini-Mental State Examination(MMSE)and Montreal Cognitive Assessment(MoCA),as well as the measurements of cerebral blood perfusion were observed before and after the treatment of the patients in the two groups.The changes of C-reactive protein(CRP),interleukin 6(IL-6),and tumor necrosis factor α(TNF-α)before and after treatment were compared between the two groups.The safety and incidence of adverse reactions in the two groups were also evaluated.Results(1)The total effective rate was 96.36％(53/55)in the observation group and 74.55％(41/55)in the control group.The efficacy of the observation group was superior to that of the control group,the difference being statistically significant(P＜0.05).(2)After treatment,the MMSE scores and MoCA scores of the patients in the two groups were improved significantly(P＜0.05),and the improvement in the observation group was significantly superior to that in the control group,the difference being statistically significant(P＜0.05).(3)After treatment,the CBV,MTT,and CBF of the basal ganglia region of the two groups were significantly improved(P＜0.05),and the improvement in the observation group was significantly superior to that in the control group,the difference being statistically significant(P＜0.05).(4)After treatment,the serum CRP,IL-6,and TNF-α levels of patients in the two groups were significantly improved(P＜0.05),and the improvement in the observation group was significantly superior to that in the control group,the difference being statistically significant(P＜0.05).(5)The incidence of adverse reactions in the observation group was 7.27％(4/55),and that in the control group was 5.45％(3/55),the comparison between the two groups showed that the difference being not statistically significant(P＞0.05).Conclusion Yizhi Qingxin Prescription combined with warming-needle muxibustion in the treatment of VCI after cerebral infarction can effectively alleviate the cognitive function of patients,improve their cerebral blood perfusion,and inhibit the release of inflammatory factors,so as to enhance their quality of life.

Objective:To evaluate the clinical utility of machine learning model based radiomics in predicting high-risk molecular subtypes of lower-grade gliomas(LrGGs).Methods:This was a cross-sectional study. A total of 287 patients diagnosed with LrGGs in the First Hospital of Shanxi Medical University, Shanxi Provincial People′s Hospital, and the Third Hospital of Shanxi Medical University from January 2011 to September 2023 were retrospectively collected, including 166 males and 121 females; 114 cases of high-risk molecular subtypes and 173 cases of non-high-risk molecular subtypes. All patients were divided into 201 cases in the training set and 86 cases in the test set according to 7∶3 in simple randomized grouping method. All patients underwent contrast-enhanced T 1WI (CE-T 1WI) and T 2-weighted fluid-attenuated inversion recovery sequence imaging (T 2-FLAIR), and the imaging features of high-risk and non-high-risk molecular subtypes were analyzed. Analysis of variance, recursive feature elimination, and Kruskal-Wallis were used for radiomics feature screening, and a support vector machine (SVM) classifier was used to construct a radiomics-based classifier model. Univariate and multivariate logistic regression were used to analyze clinical variables independently influencing high-risk molecular subtypes of LrGGs to construct a clinical model; a combined model was developed by integrating radiomics labels and clinical variables. Receiver operating characteristic curve and area under the curve (AUC), calibration curve, and decision curve were used to compare the predictive performance of different models. Results:The patient′s age ( OR=1.042, 95% CI 1.018-1.068, P=0.001), pathological grade ( OR=2.270, 95% CI 1.212-4.311, P=0.011), MGMT methylation status ( OR=0.456, 95% CI 0.238-0.866, P=0.017), and ependymal involvement ( OR=7.335, 95% CI 2.929-18.370, P<0.001) were independent influencing factors for the high-risk molecular subtype of LrGGs, and a clinical model was developed based on these factors. An SVM model was constructed based on 12 radiomics features (3 radiomics features based on CE-T 1WI and 9 radiomics features based on T 2-FLAIR). The radiomics score of the probability output by the SVM model was combined with age, pathological grade, MGMT methylation status, and ependymal involvement to develop a combined model. The AUC values of the SVM model for predicting the high-risk molecular subtype of LrGGs were 0.824 and 0.859 in the training set and test set, respectively; the AUC values of the clinical model in the training set and test set were 0.759 and 0.721, respectively; and the AUC values of the combined model in the training set and test set were 0.823 and 0.815, respectively. The combined model had a high clinical net benefit. Conclusion:The machine learning MRI radiomics model can preoperatively predict high risk molecular subtypes of LGGrs, assist in individualized treatment decisions.