Objective: To analyze the association between intraoperative blood transfusion and adverse perinatal outcomes(a composite of maternal death, hepatic encephalopathy, etc) in patients with acute fatty liver of pregnancy (AFLP), identify independent risk factors for these outcomes, and develop and validate a risk prediction model for early identification of high-risk patients. Methods: Clinical data of 56 AFLP patients admitted to our hospital from January 2008 to January 2025 were retrospectively analyzed. The chi-square test was used to compare the incidence of adverse perinatal outcomes between the transfusion group and the non-transfusion group. Univariate and multivariate Firth-penalized logistic regression analyses were performed to identify independent predictors of adverse outcomes. Based on the identified independent risk factors, a combined prediction model was developed. Internal validation was performed using the Bootstrap method (1 000 resamplings) to assess the model′s generalizability. Model performance was evaluated using receiver operating characteristic(ROC) curves and calibration curves. Finally, a nomogram for predicting adverse perinatal outcomes in AFLP was constructed. Results: Overall, 57.1%(32/56) of the patients received blood product transfusion during the termination of pregnancy. Multivariate Firth-penalized logistic regression analysis showed that, given the limited sample size, intraoperative blood transfusion had no independent statistical effect on adverse outcomes (OR=0.812, 95%CI:0.133-3.698, P=0.797). Mediation analysis also revealed no significant indirect effect. The independent risk factors were decreased preoperative fibrinogen (OR=14.062, 95%CI:2.389-126.656, P=0.003), pregnancy with infection (OR= 4.536, 95%CI:1.143-22.107, P=0.031), and cesarean section (OR=8.691, 95%CI:1.321-90.081, P=0.023). The combined prediction model achieved an AUC of 0.881 (95% CI:0.793-0.969, P<0.001), indicating good discrimination. At the optimal cut-off value, the sensitivity was 65.6%, specificity 95.8%, positive predictive value 95.5%, and negative predictive value 67.6%. Internal validation by the Bootstrap method showed that the predictive model had good discrimination and no obvious overfitting. The calibration curve demonstrated that the model′s predicted risk was consistent with the actual observed risk. Based on this, an AFLP perinatal adverse outcome nomogram model was constructed. Conclusion: Under the limited sample size of this study, no independent statistical effect of intraoperative blood product infusion on adverse perinatal outcomes in AFLP patients was detected. A multivariate Firth-penalized logistic regression model incorporating decreased preoperative fibrinogen, pregnancy with infection, and cesarean delivery demonstrated good discrimination and calibration. The derived nomogram may serve as an exploratory tool for early risk stratification and proactive intervention.

Objective To develop a symptom and function assessment scale for patients after Nuss procedure for pectus excavatum and to test its reliability and validity. Methods Following the principles and procedures of patient-reported outcome (PRO) scale development stipulated by the U.S. Food and Drug Administration, an initial draft was formed through literature analysis, qualitative interviews, and Delphi expert consultation. The preliminary draft was used to conduct a pre-survey on patients who underwent Nuss procedure for pectus excavatum at Guangdong Provincial People's Hospital, and the reliability and validity of the scale were tested. Results A preliminary PRO-based symptom and function scale was constructed, covering two domains: symptoms and impact on daily functions. The symptom dimension included six items: chest tightness, palpitations, pain, shortness of breath, foreign body sensation of the steel plate, and distress; while the impact on daily functions included four items: difficulty in getting out of bed or lying down, raising arms, bending over, and standing or sitting for a long time. A total of 73 patients who underwent Nuss procedure for pectus excavatum were included in the questionnaire survey, with 70 valid questionnaires collected, including 64 males and 6 females, with 56 patients aged 12-17 years and 14 patients ≥18 years. Through exploratory factor analysis, two common factors were extracted, with a cumulative variance contribution rate of 70%. The Cronbach’s α coefficient of the scale was 0.917. Conclusion The scale developed in this study has good reliability and validity, high reliability and stability, and can be used as an evaluation tool for the recovery status of patients after Nuss procedure for pectus excavatum.

Objective To investigate the correlation between serum Visfatin, CXC chemokine 12 (CXCL12) and silent information regulator 1 (Sirt1) levels and carotid atherosclerosis (CAS) in patients with type 2 diabetes mellitus (type 2 diabetes mellitus ,T2DM). Methods Four hundred and ninety-five patients with T2DM in the hospital from July 2021 to June 2023 were selected as the observation group, and 50 healthy volunteers were included in the control group. The levels of serum Visfatin, CXCL12 and Sirt1 were detected, and the above levels were compared between groups. The patients in the observation group were divided into simple T2DM group and T2DM with CAS group by means of the results of carotid ultrasound examination, and the clinical data were compared. Multivariate Logistic regression analysis was performed to analyze the factors affecting the occurrence of CAS in T2DM patients. Spearman correlation analysis of serum Visfatin, CXCL12 and Sirt1 levels and severity of CAS was analyzed by Spearman correlation analysis. Results Compared with the control group, the levels of serum Visfatin and CXCL12 in the observation group were higher (t=14.524, t=11.536, all P<0.05) while the level of Sirt1 was lower (t=21.912, P<0.05). There were statistical differences in age, body mass index (BMI), FBG, HbAlc, FINS, TG, LDL-C, Visfatin, CXCL12 and Sirt1 between T2DM with CAS group and simple T2DM group (P<0.05). Multivariate analysis suggested that age (OR=2.155), FBG (OR=2.563), HbAlc (OR=2.472), FINS (OR=0.438), TG (OR=2.492), LDL-C (OR=2.445), Visfatin (OR=2.404), CXCL12 (OR=2.214) and Sirt1 (OR=0.398) were the influencing factors of CAS in patients with T2DM (P<0.05). The levels of serum Visfatin and CXCL12 were positively correlated with the severity of CAS (r=0.574, r=0.530, P<0.05), and the level of Sirt1 was negatively correlated with the severity of CAS (r=-0.621, P<0.05). Conclusion Serum Visfatin, CXCL12 and Sirt1 in T2DM patients are related to the occurrence and severity of CAS. Visfatin, CXCL12 and Sirt1 may be involved in the occurrence and development of CAS in T2DM patients.

To investigate and analyze the distribution characteristics and genetic variation of mitochondrial encephalomyopathy (ME) in children in Hainan province.

Objective : To analyze the differential expression profile of miRNAs in amniotic fluid exosomes of fetu- ses with Down syndrome (DS) and provide insights for identifying novel biomarkers for the prenatal diagnosis of DS . Methods : Amniotic fluid samples were collected from fetuses with DS and chromosomally normal fetuses . Exo- somes were isolated from the amniotic fluid and subjected to high-throughput sequencing. Differentially expressed miRNAs were identified , and target genes were predicted using TargetScan and miRanda. Target genes located on chromosome 21 were selected , and their biological functions and associated diseases were analyzed using Gene- Cards , HGNC , NCBI Gene , UniProtKB/Swiss-Prot , Ensembl , and OMIM databases . GO and KEGG enrichment analyses were performed to investigate the biological functions of the enriched genes . Results : A total of 59 differ- entially expressed miRNAs were identified , including 31 upregulated and 28 downregulated miRNAs . Based on a fold change > 2 and P < 0. 05 , 10 upregulated and 9 downregulated miRNAs with the highest expression levels were selected . Key miRNAs included hsa-let-7b-5p , hsa-let-7c-5p , hsa-let-7b-3p _ 1ss22CT , and hsa-miR-199b-5p , with BACH1 and IFNAR1 identified as their shared target genes . GO analysis revealed that the enriched target genes were primarily involved in protein binding , metal ion binding , transferase activity , DNA binding , transcriptional regulation by RNA polymerase Ⅱ , and nucleotide binding. KEGG pathway analysis indicated that the target genes were mainly associated with metabolic pathways , cancer-related pathways , the PI3K-Akt signaling pathway , and the Rap1 signaling pathway . Conclusion Differential expression of miRNAs in amniotic fluid exosomes was ob- served between DS fetuses and those with normal karyotypes . Combined analysis with placental miRNAs revealed hsa-miR-199b-5p as a common differentially expressed miRNA in both DS amniotic fluid and placenta. It is hypoth- esized that BACH1 and IFNAR1 , shared target genes of hsa-miR-199b-5p , hsa-let-7b-5p , hsa-let-7c-5p , and hsa- let-7b-3p_1ss22CT , may play a role in the pathogenesis of DS .

Objective To investigate the feasibility of a "pericardial lining" modified Bentall procedure for the treatment of patients with aortic root aneurysm. Methods This was a retrospective study that consecutively enrolled patients treated at the Affiliated Suzhou Hospital of Nanjing Medical University, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, and the First People's Hospital of Guangyuan from January 2023 to February 2024. Preoperative clinical data, imaging findings (including echocardiography and CT scans of the aortic root and the entire aorta), details of coronary artery management, surgical outcomes, and postoperative follow-up results were collected. All patients underwent the "pericardial lining" modified Bentall procedure: the aortic valve was replaced, and an autologous pericardial patch was divided into three equal leaflets based on the circumference of the aortic annulus measured by a valve sizer. These leaflets were then sutured to the aortic annulus. Fenestrations were created in two of the pericardial leaflets for anastomosis with the left and right coronary ostia. The pericardial leaflets were sutured to the wall of the aortic sinuses to form an integrated structure, thereby narrowing the sinus portion. A prosthetic vascular graft was anastomosed to the proximal and distal aorta, and no aortic root-to-right atrium shunt was created. Results A total of 5 patients, aged 37 to 68 years, were included. The preoperative Society of Thoracic Surgeons (STS) risk scores ranged from 2.8% to 3.9%. The diameter of the ascending aorta was 40-73 mm, the left ventricular end-diastolic diameter (LVEDD) was 45-71 mm, and the left ventricular ejection fraction (LVEF) was 47%-64%. Intraoperatively, the aortic cross-clamp time ranged from 85 to 180 min, and the cardiopulmonary bypass time ranged from 110 to 302 min. Postoperative follow-up echocardiography revealed that the ascending aortic diameter was 27-35 mm, LVEDD was 39-57 mm, and LVEF was 43%-61%. All surgeries were completed successfully with satisfactory immediate outcomes and no intraoperative complications. During the follow-up period, there was no mortality or reoperation. Conclusion For patients with aortic root aneurysm, the "pericardial lining" modified Bentall procedure yields satisfactory preliminary results, and the technique is demonstrated to be feasible.

Objective To establish and validate the diagnostic model of ferroptosis genes for acute myocardial infarction (AMI) based on bioinformatics. Methods Five AMI gene expression data were obtained from Gene Expression Omnibus (GEO), namely GSE66360, GSE48060, GSE60993, GSE83500, GSE34198. Among them, GSE66360 was used as the training set to perform differential analysis, and intersection of differential genes and ferroptosis genes was taken to obtain differentially expressed ferroptosis genes in AMI. GO and KEGG enrichment analyses were performed using Metascape website. Subsequently, random forest (RF) algorithm was used to screen out key genes with high classification performance according to the Keeny coefficient score, and artificial neural network (ANN) diagnostic model of AMI ferroptosis feature gene was constructed by model group GSE83500. The area under the receiver operating characteristic curve (AUC) of 10-fold cross-validation was used to evaluate the performance and generalization ability of the model, and 3 external independent datasets were used to verify the diagnostic performance of this model. The single sample gene set enrichment analysis was used to explore the difference in immune cell infiltration between infarcted myocardium and normal myocardium after AMI. In addition, correlation analysis between immune cells and key genes was also conducted. Finally, potential drugs that would prevent and treat AMI by regulating ferroptosis were screened out from the Coremin Medical platform. Results A total of 16 differentially expressed ferroptosis genes were obtained in the training set, GO enrichment analysis showed that they mainly participated in biological functions such as cellular response to biological stimuli and chemical stress, and regulation of interleukin 17. KEGG enrichment analysis showed that these genes were significantly enriched in NOD-like receptor signaling pathway, programmed cell necrosis, Leishmaniasis and other pathways. Four genes with good classification performance were screened out using RF algorithm, namely EPAS1, SLC7A5, FTH1, and ZFP36. The results of 10-fold cross-validation showed that the minimum AUC value was 0.746, the maximum value was 0.906, and the average value was 0.805. The AUC of the ANN model was 0.859, and the AUC values of the three independent validation sets were 0.763 (GSE48060), 0.673 (GSE60993), 0.698 (GSE34198). Immune cell infiltration found that macrophages, mast cells and monocytes were significantly active after AMI. Correlation analysis found that there were positive correlations between 4 key genes and activated dendritic cells, eosinophils and γδT cells. A total of 20 potential western medicines were predicted which could prevent and treat AMI by regulating ferroptosis, and the predicted potential Chinese medicine was mainly heat-clearing and detoxifying and blood-activating and removing blood stasis drugs. Conclusion The identified AMI ferroptosis genes by bioinformatics method have certain diagnostic significance, which provides a reference for disease diagnosis and treatment.

Objective: To explore the mechanism by which icariin alleviates viral myocarditis. Methods: CVB3-induced cardiomyocytes were used as an in vitro model of viral myocarditis to assess the effects of icariin treatment on cell viability, inflammation, and apoptosis. Moreover, the effects of icariin on ferroptosis and TLR4 signaling were assessed. After AC16 cells were transfected with TLR4 overexpression plasmids, the role of TLR4 in mediating the regulatory effect of icariin in viral myocarditis was investigated. Results: Icariin significantly elevated cell viability and reduced inflammatory factors TNF-α, IL-1β, IL-6, and IL-18. Flow cytometry revealed that icariin decreased apoptosis rate, and the protein expression of Bax and cleaved caspase 3 and 9 in CVB3-induced cardiomyocytes. Additionally, it suppressed ferroptosis including lipid peroxidation and ferrous ion, as well as the TLR4 signaling. However, TLR4 overexpression abrogated the modulatory effects of icariin. Conclusions: Icariin mitigates CVB3-induced myocardial injury by inhibiting TLR4-mediated ferroptosis. Further animal study is needed to verify its efficacy.

Objective To elucidate the correlation between radiological tumor size (RTS) and pathological tumor size (PTS), and to evaluate the accuracy of clinical T staging. Methods Data on patients who underwent complete resection between September 2018 and June 2019 were retrospectively collected. The correlation between RTS and PTS was analyzed by and we assessed the agreement between clinical and pathologic T staging. Results Finally, 1 880 patients were included. There were 778 males and 1 102 females at average age of 57±11 years. In the entire cohort, the RTS and PTS was 19.1±13.5 mm and 17.7±14.0 mm, respectively (P<0.001). The RTS and PTS showed a strong linear correlation with the Pearson’s correlation coefficient calculated as 0.897. The mean RTS was significantly larger than PTS (P<0.001) in tumors≤3 cm, but significantly smaller in tumors>4 cm. The overall concordance rate between clinical and pathological T staging was 65.6%. Clinical staging failed to detect T4 disease in 29.4% (5/17) of patients. Male patients and the presence of cavities within nodules were independent significant factors leading to inaccurate clinical T staging. Conclusions The correlation between the tumor sizes measured on thin-section computed tomography and pathologic specimens varies with the real tumor size. Methods and techniques for improving clinical T staging accuracy is in urgent need.