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 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 investigate the related factors and prevention measures of postoperative fever in patients with renal cyst.Methods Retrospective analysis was made on the clinical data of 150 patients who were treated with laparoscopic renal cyst decapitation and decompression and sclerotherapy in Hangzhou First People's Hospital from January 2018 to December 2021,including age,gender,location,diameter,preoperative non gonococcal urethritis,preoperative urine culture,preoperative urinary leukocytes,hypertension,diabetes,operation mode,postoperative blood C reactive protein(CRP),and postoperative blood leukocytes,The time of onset of fever and the highest temperature of fever in patients with renal cysts after surgery were recorded.The patients were divided into fever group and non fever group after surgery.The related factors and causes of fever in the two groups were analyzed.Results Postoperative fever occurred in 121 cases(80.7%).There were statistically significant differences in gender ratio,diabetes history,preoperative routine urine white blood cell count,preoperative urine culture,preoperative non-gonococcal urethritis and surgical methods between the two groups(P<0.05).Logistic multivariate analysis showed that the history of diabetes mellitus and preoperative concomitant non-gonococcal urethritis were independent risk factors for postoperative fever(OR>1,P<0.05),postoperative blood CRP difference was statistically significant(P<0.05),postoperative fever was related to infection.Conclusion Patients with renal cyst need routine urine bacterial culture and routine urine white blood cell count before surgery to thoroughly treat urinary tract infection.Renal cyst sclerotherapy is selected to reduce the incidence of postoperative fever.History of diabetes mellitus and non-gonococcal urethritis were independent risk factors for fever after renal cyst.

Objective To investigate the changes of blood lipid and glycosylated hemoglobin (HbA1c) levels in obese type 2 diabetes (T2DM) patients and their relationship with insulin resistance (Homa-IR). Methods A total of 120 cases of T2DM newly diagnosed in Motuo County, Tibet from February to October 2022 were selected as the observation group. According to BMI, the patients were divided into diabetes normal weight group (46 cases), overweight group (43 cases) and obesity group (31 cases); 145 healthy subjects were selected as the control group. The levels of HbA1c, fasting blood glucose (FPG), fasting insulin (FINS), serum total cholesterol (TC), triglycerides (TG), high-density lipoprotein (HDL-C), and low-density lipoprotein (LDL-C) were detected in the study subjects, and Homa-IR and Homa-β indices were calculated. The height, weight, and abdominal circumference were measured. The differences in the levels of the above indicators between the observation group patients and the control group, as well as among various subgroups within the observation group were compared. The influencing factors of Homa-IR in obese T2DM patients were analyzed. Results Compared with the control group, a significant increase in BMI, abdominal circumference, blood pressure, HbA1c, FBG, FINS, TC, TG, LDL-C, UA, visceral fat area, and the levels of Home-IR and Home-β was found in the observation group (all P<0.05). There were significant differences in BMI, abdominal circumference, and the levels of FINS, Homa IR, Homa-β, and HbA1c in diabetes patients with different BMI (all P<0.05). Correlation analysis showed that TG levels in obese T2DM patients in the observation group were significantly correlated with HbA1c (r=0.396, P=0.027), Homa-IR (r=0.405, P=0.024), and Home-β (r=-0.401, P=0.025); LDL-C was significantly correlated with Homa-IR (r=0.411, P=0.022) and Homa-β (r=-0.412, P=0.021); HbA1c was significantly positively correlated with BMI (r=0.371, P=0.040). Conclusion Insulin resistance is closely related to TG, LDL-C, and BMI in obese T2DM patients from the Motuo ethnic minority of Tibet, suggesting that these factors may play a role in the occurrence of T2DM.

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.