Objective To investigate the impact of red blood cell suspension infusion across various perioperative periods on patients with valvular heart disease. Methods The patients with valvular heart disease admitted to Tianjin Chest Hospital from 2018 to 2020 were selected. Based on the timing of perioperative red cell suspension infusion, patients were categorized into three groups: a group 1 receiving intraoperative red cell suspension infusion, a group 2 receiving red cell suspension infusion within 24 hours after entering the ICU, and a group 3 receiving red cell suspension infusion at both time points. The laboratory results, perioperative blood component infusion volume, and other relevant parameters were retrospectively analyzed. After propensity score matching, the differences in different variables among the three groups were compared. Results After propensity score matching, 102 patients were enrolled, including 52 males and 50 females, with an average age of (61.74±10.58) years. There were 34 patients in each group. The preoperative hemoglobin (Hb) value of the group 2 was significantly higher than that of the group 1 and the group 3, and the amount of red cell suspension and autoblood transfusion was the lowest (P<0.05). Group 1 had the highest postoperative Hb, as well as the highest Hb and hematocrit (HCT) levels within 24 hours post-surgery (P<0.05). The group 1 had the lowest plasma, platelet and cryoprecipitate infusion volumes, and the shortest cardiopulmonary bypass time, aortic occlusion time, postoperative ICU stay and hospital stay, and the least blood loss and total drainage volume (P<0.05). The difference between postoperative and preoperative Hb (△Hb1) was highest in group 1 (P<0.05). Conclusion For patients with valvular heart disease, intraoperative-only infusion of red blood cell suspension is associated with a better prognosis at discharge and during follow-up.

Objective To explore the pathogenesis and prognostic factors of liposarcoma in the head and neck region, and simultaneously analyze the efficacy of different treatment regimens. Methods A retrospective analysis was performed on all patients with primary untreated head and neck liposarcoma who were diagnosed and underwent surgical treatment at our hospital from January 2008 to January 2024. All patients were monitored during follow-up, and their prognoses were analyzed using SPSS software. Results A total of 30 patients were included in the study. Liposarcoma accounted for up to 60% of the cases in the orbit, while the remaining liposarcomas were primarily located in various interspaces of the neck. Dedifferentiated liposarcoma was the most common type, comprising 33%, while myxoid pleomorphic liposarcoma was the rarest at 4%. The tumor pathological type (P<0.001) and Ki67 (P=0.014) significantly affected the tumor control rate. However, an analysis of disease-specific survival rates revealed no significant differences across various factors (all P>0.05). Conclusion The prognosis of head and neck liposarcoma is better compared to that of liposarcomas in other parts of the body. However, myxoid pleomorphic liposarcoma, pleomorphic fat sarcoma, and high Ki67 levels are indicators of poor prognosis. Additionally, postoperative adjuvant radiotherapy does not significantly enhance disease-specific survival rates.

Optogenetics, a technique for the precise modulation of cellular activity, has unveiled its distinctive application value within ophthalmology. Optogenetics achieves the light-controlled activation or inhibition of retinal cell functions through precise genetic introduction of light-sensitive proteins, paving new avenues for the treatment of irreversible vision impairment. Optogenetics has emerged as an effective treatment for retinal degenerative diseases and optic nerve damage, it has also made substantial contributions to the realm of visual function research. Furthermore, the integration of optogenetics with light-controlled stem cell technology and light-controlled gene editing technology has unveiled its immense potential in clinical translation. With the advancement of technology and the deepening of clinical practice, optogenetics holds broad prospects within ophthalmology and is poised to offer innovative therapeutic strategies for patients with visual impairments.

Objective:To investigate the feasibility of deep learning based on computed tomography(CT)radiomics in improving diagnostic accuracy for pulmonary nodules.Methods:A total of 500 patients with pulmonary nodules who admitted to our hospital from January 2023 to January 2024 were selected as study subjects,and they were randomly divided into a training set(350 patients)and a test set(150 patients)as 7:3 ratio.All patients underwent CT examination,and pathological diagnosis was used as gold standard to record pulmonary nodules that were judged by clinical judgment.The radiomics features were screened from the CT images of the patients,and these features were used to construct multiple machine learning models.The predictive value of different models in diagnosing pulmonary nodules was analyzed through confusion matrices and receiver operating characteristic(ROC)curve.Results:A total of 1,594 radiomics features,including 1,195 texture features(74.97%)that was the largest ratio,334 first-order histograms(20.95%),and 65 second-order histograms(4.08%),were extracted in this study.After least absolute shrinkage and selection operator(LASSO)regression analysis and ten-fold cross-validation processing,a total of six radiomics features were screened out.The screened radiomics features were incorporated respectively into four assembled models with machine learning,including ResNet50,DenseNet121,Inception_V3 and VGG19.The constructed models were evaluated respectively using the training set and the test set.The results showed that the assembled model had the highest accuracies in both training set and the test set(96.57%and 95.33%),which area under curve(AUC)values were 0.934 and 0.923,and specificities were 81.64%and 80.52%,and sensitivities were 90.25%and 88.71%,respectively.The results of consistency test indicated that the assembled model had the best classification consistency(Kappa=0.856,P<0.001)in the constructed diagnostic model for pulmonary nodule,which was the best-performing model.Conclusion:The deep learning technique based on CT radiomics has a certain feasibility in improving the diagnostic accuracy for pulmonary nodules,and the machine learning model that is included in this study has favorable predictive value in diagnosing pulmonary nodules.In them,the assembled model that is constructed on the basis of ResNet50,DenseNet121,Inception_V3,and VGG19 has better classification ability.

Objective:To compare the value of different quantification methods for intraoperative hypotension in predicting postoperative acute kidney injury (AKI) in patients undergoing off-pump coronary artery bypass grafting (OPCABG).Methods:The medical records of American Society of Anesthesiologists Physical Status classification Ⅲ-Ⅳ patients of either sex, aged 18-80 yr, with a body mass index of 18-30 kg/m 2, scheduled for elective OPCABG, were retrospectively collected at Tianjin Chest Hospital from September 2021 to October 2023. Intraoperative hypotension was quantified using the methods such as the number of occurrence, average decrease in magnitude, duration, and the area under the threshold (mean arterial pressure <65 mmHg, 1 mmHg = 0.133 kPa). Patients were divided into AKI group and non-AKI group based on the occurrence of AKI within 7 days postoperatively. The extended logistic regression model was used to adjust for confounding factors, and the receiver operating characteristic curves were plotted to compare the accuracy of different methods for intraoperative hypotension in predicting postoperative AKI. Results:The results of multivariate logistic regression analysis showed that the frequency of hypotension ( OR=1.03, 95% confidence interval [ CI] 1.01-1.05, P=0.010), duration of hypotension ( OR=1.04, 95% CI 1.01-1.08, P=0.007), and area under the threshold ( OR=1.03, 95% CI 1.01-1.06, P=0.023) were risk factors for postoperative AKI. The areas under the curve for the quantification methods predicting the occurrence of postoperative AKI within 7 days, including the duration of hypotension, area under the threshold, frequency of hypotension, and mean decrease in blood pressure, were 0.751, 0.652, 0.647 and 0.513, respectively. Conclusions:The duration of hypotension, area under the threshold and frequency of hypotension are independent risk factors for postoperative AKI in patients undergoing OPCABG. The duration of hypotension has a higher accuracy in predicting the occurrence of postoperative AKI.

Objective To explore the mechanism of Yishen Jiangtang Decoction(YSJTD)in improving diabetic kidney disease(DKD)based on the apoptotic Bcl-2/Caspase-3 pathway mediated by endoplasmic reticulum stress(ERS).Methods Thirty 8-week-old SPF male db/db mice were used to establish the DKD model and were randomly divided into model,YSJTD,ERS inhibitor(4-phenylbutyric acid[4-PBA]),and control groups(db/m mice),with 10 mice per group.Mice in the YSJTD and 4-PBA groups were gavaged daily with 5.6 mg/(g·d)YSJTD or 0.5 mg/(g·d)4-PBA,respectively,whereas the model and control groups received sodium carboxymethyl cellulose.Each mouse was orally administered 0.01 mL/(g·d)for 8 weeks.The mice were administered 0.01 mL/(g·d)YSJTD or 0.5mg/(g·d)4-PBA via gavage for 8 weeks.The general condition of the mice was observed,and blood glucose and plasma lipid levels were measured.Oral glucose tolerance tests(OGTT)and insulin tolerance tests(ITT)were performed,and the area under the curve(AUC)was calculated.Renal pathological changes(assessed using hematoxylin and eosin,periodic acid-Schiff,and Masson staining)and cell apoptosis,evaluated via TUNEL staining,were examined.Protein expression levels of Caspase-3 and Bcl-2 in kidney tissues were analyzed using Western blotting.A DKD model was established using high-glucose-induced mouse glomerular mesangial cells,SV40 MES 13.The Cell Counting Kit-8 assay was used to screen for high glucose concentrations and to determine the concentration of the YSJTD drug-containing serum.Cells were divided into four groups:control,model(30 mmol/L high glucose),10％YSJTD drug-containing serum(30 mmol/L high glucose+10％drug-containing serum),and 1 mol/L 4-PBA(30 mmol/L high glucose+1 mmol/L 4-PBA).Western blotting was used to detect the protein levels of GRP78,Caspase-3,and Bcl-2 in the cells.Results Compared to the control group,the model,YSJTD,and 4-PBA groups exhibited significantly increased OGTT-AUC,ITT-AUC,triglyceride(TG),and cholesterol(CHOL)levels(P＜0.05).These groups also showed severe renal pathological damage,increased glycogen deposition,and exacerbated fibrosis in kidney tissues.Compared to the model group,both the YSJTD and 4-PBA groups showed significantly reduced OGTT-AUC,TG,and CHOL levels,alleviated renal pathological damage,and decreased glycogen deposition and fibrosis.The YSJTD group also exhibited significantly reduced ITT-AUC(P＜0.05).Compared to the control group,the model group exhibited an increased number of apoptotic cells in renal tissue,reduced Bcl-2 expression,and elevated Caspase-3 expression(P＜0.05).Compared to the model group,both the YSJTD and 4-PBA groups demonstrated a reduced number of apoptotic cells,decreased Caspase-3 expression,and increased Bcl-2 expression,with the YSJTD group showing a more pronounced decrease in apoptotic cells(P＜0.05).In vitro experiments revealed that,compared to the control group,the model group exhibited increased GRP78 and Caspase-3 expression,as well as decreased Bcl-2 expression(P＜0.05).Compared to the model group,the 10％YSJTD drug-containing serum and 1 mol/L 4-PBA groups showed reduced GRP78 and Caspase-3 expression,as well as upregulated Bcl-2 expression(P＜0.05).Conclusion YSJTD improves glucose and lipid metabolism disorders in DKD by inhibiting the ERS-induced apoptotic pathway mediated by Bcl-2/Caspase-3,thereby exerting protective effects on renal function.

Objective:To evaluate the effects of the Chinese visceral adiposity index(CVAI)and the Triglyceride-Glucose(TyG)index on the risk of hypertension among the elderly in the Zhengxiangbai Banner community of Inner Mongolia.Methods:This study selected elderly individuals who underwent physical examinations at the community health service center in Zhengxiangbai Banner, Inner Mongolia, from January 2024 to July 2024 as the study population.Based on the diagnostic criteria for hypertension, participants were divided into hypertensive and non-hypertensive groups.Data on demographics, body mass index(BMI), waist circumference(WC), fasting blood glucose(FSG), and blood lipids were collected.The CVAI, TyG, Triglyceride Glucose-Body Waist Circumference(TyG-WC), and Triglyceride Glucose-Body Mass Index(TyG-BMI)were calculated.Subjects were categorized into quartiles(1st to 4th)based on CVAI, TyG, TyG-WC, and TyG-BMI.Multivariate logistic regression analysis was employed to explore the relationship between these indicators and the risk of hypertension in the elderly.Results:This study included a total of 3, 319 elderly subjects, comprising 1, 743 individuals in the hypertensive group and 1, 576 in the non-hypertensive group.Multivariate logistic regression analysis indicated that the fourth quartile of the CVAI was a risk factor for hypertension when compared to the first quartile.Additionally, the second, third, and fourth quartiles of the TyG-BMI were identified as risk factors for hypertension relative to the first quartile.The analysis of the correlation strength between various obesity indexes and hypertension revealed that CVAI, TyG-WC, and TyG-BMI were independently correlated with the risk of hypertension.Notably, TyG-BMI exhibited a stronger association with hypertension( OR=1.006, 95% CI: 1.004-1.008).ROC curve analysis demonstrated that TyG-BMI possessed superior predictive ability for hypertension, with an AUC of 0.587(95% CI: 0.568-0.607).Furthermore, Decision Curve Analysis(DCA)also indicated that TyG-BMI had enhanced predictive capability.Further stratification by gender revealed that TyG-BMI in elderly men was independently correlated with the risk of hypertension( P<0.001), while CVAI in elderly women was independently correlated with the risk of hypertension( P<0.05).ROC curve analysis indicated that TyG-BMI in elderly men had better predictive ability for hypertension(AUC=0.582, 95% CI: 0.554~0.610).The difference in AUC compared to CVAI was statistically significant( P<0.01).DCA analysis further confirmed that TyG-BMI exhibited superior predictive ability. Conclusions:Our findings suggest that both CVAI and TyG-BMI exhibit superior predictive value for hypertension, with TyG-BMI demonstrating a particularly strong predictive capability in elderly men.

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

OBJECTIVE To investigate the prognostic factors of chondrosarcoma of the larynx,deeply analyze its clinical data,and provide a theoretical basis for better treatment of chondrosarcoma of the larynx.METHODS A retrospective analysis was conducted on the complete clinical data of patients with primary chondrosarcoma of the larynx admitted to the Department of Otolaryngology Head and Neck Surgery,Beijing Tongren Hospital,Capital Medical University from January 2010 to December 2024.RESULTS A total of 15 patients were included,including 11 males and 4 females,with a gender ratio of 11∶4.The average age of onset was 57.3 years,and the average clinical symptom duration was 12.2 months.The tumors were mainly located in the cricoid cartilage in 11 patients,in the arytenoid cartilage in 2 patients,and in the thyroid cartilage in 2 patients.Tumor grading showed that 7 patients were grade I and 8 were grade II.Four patients underwent transoral laser minimally invasive surgery,2 patients underwent partial laryngectomy+tracheotomy,and 9 patients underwent total laryngectomy/cervical lymph node dissection+tracheostomy.The 5-year overall survival rate was 85.7%,the 5-year disease-specific survival rate was 100%,and the 5-year local-regional control rate was 90.9%.Gender,tumor location,tumor grade,Ki-67,tumor size,and whether larynx preservation surgery was performed did not affect the local-regional control rate or disease-specific survival rate.CONCLUSION Laryngeal chondrosarcoma generally has a longer disease history and is difficult to detect.The pathological type is mostly well-differentiated.Regional or distant metastasis is rare,and the long-term survival rate is good.Surgical resection is the preferred treatment option.On the basis of not reducing the tumor control rate,surgery that prioritizes preserving laryngeal function should be given priority,while comprehensive treatment is generally not recommended.