Objective To investigate the risk factors for postoperative pulmonary embolism in patients with spontaneous cerebral hemorrhage,and construct and verify the nomogram model.Methods A retrospective cohort study was conducted on 558 patients admitted in the First Affiliated Hospital of Chongqing Medical University and the Three Gorges Hospital Affiliated to Chongqing University.And 393 of them who hospitalized from January 2015 to January 2021 were assigned into a modeling group,and the other 165 patients from February 2021 to January 2023 into a validation group.Univariate and multivariate stepwise logistic regression analyses were used to screen out the risk factors associated with pulmonary embolism after spontaneous cerebral hemorrhage surgery.Then a nomogram model was build based on these factors and verified.Results Based on age,blood loss,Glasgow coma scale(GCS)score,surgical treatments,levels of fibrin degradation products,D-dimer and hemoglobin,plasma osmolality,and deep vein thrombosis,a risk model of pulmonary embolism was built.Receiver operating characteristic(ROC)curve analysis showed the model had good discriminability for the presence of pulmonary embolism,and the area under the curve(AUC)value was 0.908.Hosmer-Lemeshow goodness-fit test indicated that the model had a good fit to the verification set(Chi-square=14.805,df=8,P=0.063),the correction curve was close to the ideal curve,and the prediction probability of the model was close to the actual occurrence probability,suggesting the model having good accuracy.Decision curve analysis revealed that the established nomogram model can get benefits under a large range of threshold probabilities.Conclusion We develop a prediction model for postoperative pulmonary embolism in patients with spontaneous cerebral hemorrhage after surgical treatment,which shows good prediction performance in both the training and validation groups,and can be used for accurate,prompt and quick identification for the occurrence of pulmonary embolism in clinical practice.

Objective To explore the value of model established with radiomics features based on contrast enhanced arterial phase CT and model with radiogenomics for predicting prognosis of ovarian serous cystadenocarcinoma(OSC).Methods Enhanced arterial phase CT images of 110 OSC patients were retrospectively collected from 2 centers and The Cancer Imaging Archive(TCIA)database.The radiomics features were extracted,among those related to prognosis were selected to establish a radiomics Cox regression model.Genes data of 399 OSC patients were obtained from The Cancer Genome Atlas(TCGA)database,and genes related to the radiomics features included in the above radiomics model were identified with high Pearson correlation coefficient,and then enrichment gene analyses were performed.For 57 OSC cases with complete enhanced CT and gene data,the hub genes which had the highest connectivity with radiomics prognosis predicting model were detected using Cox regression and protein-protein interaction(PPI).Furthermore,a radiogenomics prognosis predicting model was established with the hub genes.The efficiencies of these 2 models for predicting prognosis of OSC patients were analyzed.Results Finally,the radiomics model included 5 OSC prognosis-related radiomics features,with C-index of 0.782 and 0.735 in corresponding training and test set,respectively.Meanwhile,the radiogenomics model included 30 prognostic hub genes,with C-index of 0.673 and 0.659 in corresponding training and test set,respectively.The survival rates of patients with better predicted prognosis according to radiomics model and radiogenomics model were both higher compared with the others(both P＜0.05).Totally 1 135 mRNA genes were found being associated with radiomics model,including biological behaviors such as cell adhesion,and signaling pathways such as PI3K-Akt,extracellular matrix receptor interaction pathway and type 1 diabetes pathway.Conclusion The radiomics model was effective for predicting prognosis of OSC patients.Analysis of mRNA bioinformatics in OSC patients might provide biological interpretations for the radiomics model.

Objective:To explore the effectiveness and safety of laparoscopic-assisted liposuction in the treatment of gynecomastia.Methods:A retrospective study was conducted on 115 male breast development patients from January 2021 to May 2023 at the First Affiliated Hospital of Henan University and Shaoguan Hospital of Southern Medical University. The patients were divided into two groups based on surgical methods: the laparoscopic combined liposuction technique group (observation group) and the traditional areola incision group (control group). The control group consisted of 59 cases, aged between 18 and 52 years (26.2±5.2); There were 56 cases in the observation group, aged between 18 and 55 years (26.5±5.2). The differences in surgical time, intraoperative blood loss, drainage tube removal time, incidence of surgical complications, postoperative drainage volume, pain visual analog scale (VAS), and patient satisfaction were compared between two groups of patients.Results:The intraoperative bleeding volume, drainage tube removal time, and postoperative drainage volume in the observation group were 12.25±2.23, 2.85±0.53, and 80.52±7.53, respectively, all of which were lower than those in the control group (26.53±2.35, 4.22±0.59, 81.25±8.54, respectively), and the differences were statistically significant (all P<0.05).The incidence of sensory abnormalities in the nipple areola area of the observation group was 1.8% (1/56), which was lower than the 10.2% (6/59) of the control group, and the difference was statistically significant ( P<0.05).The postoperative breast shape, nipple shape, and incision score of the observation group were 81.15±18.52, 77.85±22.15, and 72.58±10.56 points, respectively, all higher than the control group's 69.34±18.48, 78.12±21.75, and 60.35±9.35 points, and the differences were statistically significant (all P<0.05). Conclusions:Laparoscopic combined with liposuction technology for the treatment of gynecomastia can reduce intraoperative bleeding and postoperative drainage volume and shorten the time for removing drainage tubes with better safety.

Objective:To investigate the clinical features,therapeutic methods,therapeutic efficacy,and prognostic characteristics of older patients with acute myeloid leukemia(AML).Methods:We collected data from 134 older patients with AML treated at Peking University International Hospital between January 2015 and February 2023.White blood cell count,bone marrow primitive cell count,cytogen-etic and molecular characteristics,and European LeukemiaNet(ELN)risk stratification at initial diagnosis were retrospectively ana-lyzed.Patients were assigned into two groups according to treatment plan―high-intensity chemotherapy and low-dose treatment―to determine whether intensive chemotherapy would yield survival benefits during treatment and the factors affecting survival.Results:Among 36 patients treated with high-intensity chemotherapy,22(61.1%)achieved complete response(CR);among 90 treated with low-intensity therapy,46(51.1%)achieved CR;and among 19 treated with azacitidine(AZA)+ venecra(VEN),14(73.7%)achieved CR.Medi-an overall survival(OS)was 15 months for high-intensity chemotherapy and 14.5 months for low-intensity treatment(P=0.226).According to ELN risk stratification,patients in the low,medium,and high risk groups exhibited OS of 18,14,and 9 months,respectively(P=0.009).OS for high-intensity chemotherapy and low-dose therapy was 22 and 15 months in the low-risk group(P=0.745),9 and 15 months in the medium-risk group(P=0.783),and 9 and 8 months in the high-risk group(P=0.739),respectively.Patients in the intensive chemotherapy group(n=36)had an OS of 15 and 17 months(P=0.689)compared with AZA+VEN treatment(n=19).The prognosis of six patients with TP53 mutation was significantly worse than those without the mutation,and the median OS was 2 months and 14 months,respectively(P=0.004).One-and 3-year survival rates for the low-,medium-and high-risk groups were 79%,53%,and 44%,and 41%,20%,and 3%,respectively.Multivariate analysis revealed that high peripheral blood white blood cell count(P=0.034),ELN risk stratification(P=0.002),and complications(P=0.017)were correlated with OS,while treatment intensity,age,sex,and bone marrow primitive cell count were not significantly correlated with OS.Conclusions:High-intensity chemotherapy did not yield a significant survival benefit in older patients with AML;however,this result needs to be confirmed in patients at low risk.Patients with TP53 mutations had a poor prognosis.Multivariate analyses revealed that baseline mo-lecular characteristics,leukocyte count,and comorbidities were more important than treatment intensity in predicting survival among older patients with AML.

Objective:To construct a combined radiomics model based on preoperative enhanced computed tomography (CT) examination for predicting microvascular invasion (MVI) in hepatocellular carcinoma (HCC), and provide biological explanations for the radiomics model.Methods:The retrospective cohort study was conducted. The messenger RNA (mRNA) of 424 HCC patients, the clinicopathological data of 39 HCC patients entered into the Cancer Genome Atlas database from its establishment until January 2023, and the clinicopathological data of 53 HCC patients who were admitted to the Gansu Provincial People′s Hospital from January 2020 to January 2023 were collected. The 92 HCC patients were randomly divided into a training dataset of 64 cases and a test dataset of 28 cases with a ratio of 7∶3 based on a random number table method. The CT images of patients in the arterial phase and portal venous phase as well as the corresponding clinical data were analyzed. The 3Dslicer software (version 5.0.3) was used to register the CT images in the arterial phase and portal venous phase and delineate the three-dimensional regions of interest. The original images were preprocessed and the corresponding features were extracted by the open-source software FAE (version 0.5.5). After selecting features using the Least Absolute Shrinkage and Selection Operator, the radiomics model was constructed and the radiomics score (R-score) was calculated. The nomogram was constructed by integrating clinical parameters, imaging features and R-score based on Logistic regression. The gene modules related to radiomics model were obtained and subjected to enrichment analysis by conducting weighted gene co-expression network analysis and correlation analysis. Observation indicators: (1) comparison of clinical characteristics of patients with different MVI properties; (2) establishment of MVI risk model; (3) evaluation of MVI risk model; (4) clustering of gene modules; (5) functional enrichment of feature-correlated gene modules. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the independent sample t test. Measurement data with skewed distribution were represented as M(range), and comparison between groups was conducted using the Mann-Whitney U test. Comparison of count data was conducted using the chi-square test. The intra-/inter-class correlation coefficient (ICC) was used to assess the inter-observer consistency of radiomics feature extracted by different observers. ICC >0.75 indicated a good consistency in feature extraction. The Logistic regression model was used for univariate and multivariate analyses. The receiver operating characteristic curve was drawn, and the area under curve (AUC), the decision curve and the calibration curve were used to evaluate the diagnostic efficacy and clinical practicality of the model. Results:(1) Comparison of clinical characteristics of patients with different MVI properties. Of 92 HCC patients, there were 47 cases with MVI-positive and 45 cases with MVI-negative, and there were significant differences in hepatitis, tumor diameter, peritumoral enhancement, intratumoral arteries, pseudocapsule and smoothness of tumor margin between them ( χ2=5.308, 9.977, 47.370, 32.368, 21.105, 31.711, P<0.05). (2) Establishment of MVI risk model. A total of 1 781 features were extrac-ted from arterial and portal venous phases of the intratumoral and peritumoral regions. After feature dimension reduction, 8 radiomics features were selected from arterial and portal venous phases to construct the combined model. Results of multivariate analysis showed that peritumoral enhancement, intratumoral arteries, pseudocapsule, smoothness of tumor margins, and R-score were independent risk factors for MVI in patients with HCC [ hazard ratio=0.049, 0.017, 0.017, 0.021, 2.539, 95% confidence interval ( CI) as 0.005-0.446, 0.001-0.435, 0.001-0.518, 0.001-0.473, 1.220-5.283, P<0.05]. A nomogram model was constructed incorporating peritumoral enhancement, intratumoral arteries, pseudocapsule, smoothness of tumor margins, and R-score. (3) Evaluation of the MVI risk model. The AUC of radiomics model was 0.923 (95% CI as 0.887-0.944) and 0.918 (95% CI as 0.894-0.945) in the training dataset and test dataset, respectively. The AUC of nomogram model, incorpora-ting both the R-score and radiomics features, was 0.973 (95% CI as 0.954-0.988) and 0.962 (95% CI as 0.942-0.987) in the training dataset and test dataset, respectively. Results of decision curve showed that the nomogram had better clinical utility compared to the R-score. Results of calibration curve showed good consistency between the actual observed outcomes and the nomogram or the R-score. (4) Clustering of gene module. Results of weighted gene co-expression network analysis showed that 8 gene modules were obtained. (5) Functional enrichment of feature-related gene modules. Results of correlation analysis showed 4 gene modules were significantly associated with radiomics features. The radiomics features predicting of MVI may be related to pathways such as the cell cycle, neutrophil extracellular trap formation, and PPAR signaling pathway. Conclusions:The combined radiomics model based on preoperative enhanced CT imaging can predict the MVI status of HCC. By obtaining mRNA gene expression profiles associated with radiomics features, a biological interpretation of the radiomics model is provided.

Glycosite-specific antibody‒drug conjugatess (gsADCs), harnessing Asn297 N-glycan of IgG Fc as the conjugation site for drug payloads, usually require multi-step glycoengineering with two or more enzymes, which limits the substrate diversification and complicates the preparation process. Herein, we report a series of novel disaccharide-based substrates, which reprogram the IgG glycoengineering to one-step synthesis of gsADCs, catalyzed by an endo-N-acetylglucosaminidase (ENGase) of Endo-S2. IgG glycoengineering via ENGases usually has two steps: deglycosylation by wild-type (WT) ENGases and transglycosylation by mutated ENGases. But in the current method, we have found that disaccharide LacNAc oxazoline can be efficiently assembled onto IgG by WT Endo-S2 without hydrolysis of the product, which enables the one-step glycoengineering directly from native antibodies. Further studies on substrate specificity revealed that this approach has excellent tolerance on various modification of 6-Gal motif of LacNAc. Within 1 h, one-step synthesis of gsADC was achieved using the LacNAc-toxin substrates including structures free of bioorthogonal groups. These gsADCs demonstrated good homogeneity, buffer stability, in vitro and in vivo anti-tumor activity. This work presents a novel strategy using LacNAc-based substrates to reprogram the multi-step IgG glycoengineering to a one-step manner for highly efficient synthesis of gsADCs.

Serum amyloid A(SAA) is a novel marker widely used in the acute infection disease, especially viral infection. SAA has shown a cerntain value in assisting the clinical diagnosis, discrimination of severity and monitoring of progress and outcome of COVID-19. This paper introduces the application of SAA structural, function andits dynamic detection in the diagnosis of COVID-19, and the significance of combined detection with COVID-19 antibodies, nucleic acid and other diagnostic indicators.

Objective:To propose a Chinese diagnostic criterion for rosacea on the basis of clinical feature analysis of rosacea, and to assess its sensitivity and specificity.Methods:A total of 3 350 Chinese patients with newly diagnosed rosacea were collected from Department of Dermatology, Xiangya Hospital, Central South University between December 2017 and July 2018, their phenotypes and clinical features were retrospectively analyzed, and a Chinese modified diagnostic criterion for rosacea was put forward. A national multi-center clinical observational trial, which included 2 269 patients with rosacea and 2 408 patients with other facial skin diseases from 28 centers, was conducted to verify this diagnostic criterion. Then, the sensitivity and specificity of the modified diagnostic criterion were evaluated by comparing with the 2017 standard classification of rosacea developed by the National Rosacea Society Expert Committee (NRSEC) .Results:Fixed centrofacial erythema occurred in 3 350 (100%) patients with rosacea. Flushing occurred before or simultaneously with fixed erythema in 1 850 (99.4%) of the 1 861 patients with erythema on the cheeks; among the 1 489 patients with erythema on the nose or perioral area, only 52 (3.5%) had flushing; all the 342 patients presenting with phymatous changes had fixed erythema before phymatous changes. Based on the above clinical findings, it was proposed that patients with periodically aggravated fixed erythema on the cheeks accompanied with flushing could be diagnosed with rosacea; patients with fixed erythema on the nose and perioral area accompanied with at least one of selective phenotypes (flushing, telangiectasia, papules and pustules, phymatous changes, or ocular manifestations) could be diagnosed with rosacea. The national multi-center clinical observational trial revealed that the sensitivity of the Chinese modified diagnostic criterion for rosacea was 99.6%, which was close to the sensitivity (100%) of the NRSEC standard, and its specificity was 91.9%, higher than the specificity (73.3%) of the NRSEC standard.Conclusion:The Chinese modified diagnostic criterion for rosacea has good sensitivity and specificity, and can facilitate the early diagnosis of phymatous rosacea.

Objective: To observe the changes of LC3, lc3-Ⅱ/lc3-Ⅰ ratio, Nrf2 and Bcl2 in myocarditis induced by coxsackievirus group B type 3 (CV-B3) infection and myocardial damage in SD rats caused by particulate matter of four different pollution sources, and to further explore the mechanism of autophagy and apoptosis of myocardial cells and myocardial damage. Methods: Adult SD rats were randomly divided into CV-B3 infection group (20 rats), automobile exhaust group (20 rats), coal smoke group (20 rats), burning straw group (20 rats), atmosphere group (20 rats) and control group (20 rats). The expressions of LC3, Bcl2 and Nrf2 in rats were detected by Western blot at 12 hours, 48 hours, 5 days and 10 days. Results: In the first three groups of rats expression of LC3, Bcl2 and Nrf2 was upregulated, this was seen early in CV-B3 group, the peak was high, and recovery was fast; while in automobile exhaust group the above changes appeared later, the amplitude was low; in the coal smoke group rats the above changes appeared even later, but the amplitude of change was higher than that in automobile exhaust group, but lower than that of CV-B₃ group. In automobile exhaust and coal smoke groups Bcl2 and Nrf2 expression was still slightly increased at day 10. After 48 hours, the above measurements in rats in the atmosphere group were temporarily up-regulated, and returned to normal on day 5. The above measurements of rats in the straw smoke and the control group did not show significant change. Conclusions In the SD rats with acute viral myocarditis induced by CV-B3 and myocardial damage induced by automobile exhaust, coal smoke and atmospheric particulate matter, the whole process of metabolism, renewal, repair and anti-damage activity of myocardial cells can be accomplished through autophagy activation, apoptosis inhibition and antioxidant mechanism.

Objective To observe the levels of four bisphenols (bisphenol A,B,S and F) and their correlation with renal function in chronic kidney disease (CKD) patients.Methods Patients with CKD were identified according to Kidney Disease:Improving Global Outcomes (KDIGO) criteria.Sixty-three CKD patients and eleven healthy controls were enrolled.CKD patients were further classified as mild renal injury group (CKD stage 1 and 2,n=30),moderate renal injury group (CKD stage 3,n=19) and severe renal injury group (CKD stage 4 and 5,n=14).The levels of four bisphenols in serum were determined by high performance liquid chromatography (HPLC).The correlation between concentrations of four bisphenols and estimated glomerular filtration rate (eGFR) was assessed by Spearman's rank correlation analysis.The associations of four bisphenols with coronary heart disease,diabetes and hypertension in CKD patients were estimated by binary multivariate logistic regression.Results (1) Four bisphenols were not detected in serum of healthy control.In the mild renal injury group the bisphenol A and bisphenol S were not detected,and patients had 5.24 (5.24,9.38) μg/L bisphenol B and 0.74 (0.74,0.74) μg/L bisphenol F.In the moderate renal injury group bisphenol S was not detected,and patients had 2.79 (1.01,4.53) μg/L bisphenol A,5.24 (5.24,5.24) μg/L bisphenol B and 0.74 (0.74,0.74) μg/L bisphenol F.In severe renal injury group patients had 14.30 (7.97,18.17) μg/L bisphenol A,0 μg/L bisphenol B,23.73 (23.73,136.59) μg/L bisphenol S and 0.74 (0.74,1.42) μg/L bisphenol F.The levels of bisphenol A and bisphenol S in severe renal injury group were higher than those in the healthy control group,mild renal injury group and moderate renal injury group (all P ＜ 0.05).Bisphenol B and bisphenol F were not statistically different among four groups.(2) Bisphenol A and bisphenol S were negatively correlated with eGFR (r=-0.779,P ＜ 0.001;r=-0.546,P ＜ 0.001).(3) Among CKD patients,bisphenol A was correlated with diabetes (OR=4.951,95％CI 1.603-15.294,P=0.005),and bisphenol S was correlated with hypertension (OR=4.466,95％ CI 1.575-12.666,P=0.005).Conclusions CKD patients have a variety of bisphenol compounds,especially bisphenol A and bisphenol S.Bisphenol A and bisphenol S have high levels,and their exposures are correlated with renal function.