Objective To longitudinally investigate the characteristics of postoperative weight changes in patients with esophageal cancer and analyze its influencing factors, which can provide certain guidance for nutritional intervention in patients with esophageal cancer. Methods Patients with esophageal cancer who underwent surgical treatment at the Sichuan Cancer Hospital from December 2020 to February 2022 were prospectively included. The general information questionnaire and body composition analyzer were used to longitudinally investigate the patients’ weight and body composition before surgery (T0), 1 month after surgery (T1), 3 months after surgery (T2) and 6 months after surgery (T3), and the change characteristics were analyzed. The generalized estimating equation was used to analyze the influencing factors for postoperative weight changes in patients with esophageal cancer. Results A total of 130 patients were enrolled, including 110 males and 20 females, aged 42-79 (63.33±8.16) years. The weight and body composition of patients with esophageal cancer showed a continuous slow downward trend within 6 months after surgery. The weight loss rate of patients at 1, 3, and 6 months after surgery was 5.10%, 7.76%, and 9.86%, respectively. The analysis results of the influencing factors for postoperative weight showed that patients with the following characteristics had more weight loss: female (β=−7.703, P=0.001), ≥60 years (β=−3.657, P=0.010), smoking (β=4.622, P=0.010), low tumor differentiation degree (β=4.314, P=0.039), and high frequency of eating (β=−3.400, P=0.008). Conclusion Weight loss is an important health problem for patients with esophageal cancer after surgery, and patients have a continuous downward trend in weight within 6 months after surgery. Medical staff should pay special attention to the patients who are female, ≥60 years, having smoking history and low tumor differentiation degree.

Objective:To explore the efficacy of atezolizumab combined with anlotinib in treating advanced non-small cell lung cancer (NSCLC) .Methods:A total of 80 patients with advanced NSCLC treated in the Baoding No.2 Central Hospital from September 2019 to September 2023 after second-line treatment were selected as research subjects. Patients who received only anlotinib treatment were included in the monotherapy group ( n=40), while patients who received atezolizumab combined with anlotinib treatment were included in the combination group ( n=40). The clinical efficacy and serum levels of carcinoembryonic antigen (CEA) and vascular endothelial growth factor (VEGF) of the two groups were compared. Kaplan-Meier survival curve was used to analyze the survival of the two groups. The functional assessment of cancer therapy-lung cancer (FACT-L) was used to assess the quality of life of patients in both groups before and after treatment. The incidence of adverse reactions was compared between the two groups. Results:After four cycles of treatment, the objective response rate (ORR) of the combination group was 37.50% (15/40), which was higher than that of the monotherapy group [17.50% (7/40) ], with a statistically significant difference ( χ2=4.01, P=0.045). The disease control rates (DCRs) of the two groups were 85.00% (34/40) and 75.00% (30/40), respectively, with no statistically significant difference ( χ2=1.25, P=0.264). Before treatment, the CEA levels in combination group and monotherapy group were (10.18±2.15) and (10.14±2.02) μg/L, and the VEGF levels were (804.04±46.58) and (809.10±43.63) ng/L, respectively, with no statistically significant difference (both P>0.05). After treatment, the serum CEA levels of patients in combination group and monotherapy group were (4.35±1.05) and (6.63±1.37) μg/L, and the VEGF levels were (431.26±50.19) and (549.92±55.27) ng/L, respectively, with statistically significant differences ( t=8.35, P<0.001; t=10.05, P<0.001), and the levels of serum CEA and VEGF in the two groups after treatment were lower than before treatment ( t=32.47, P<0.001; t=21.73, P<0.001; t=88.65, P<0.001; t=58.27, P<0.001). Survival analysis showed that the median progression-free survival (PFS) of the monotherapy group and the combination group were 4.12 and 6.06 months, respectively, with a statistically significant difference ( χ2=17.70, P<0.001), the median overall survival (OS) were 11.8 and 12.7 months, respectively, with no statistically significant difference ( χ2=3.09, P=0.079). Before treatment, the FACT-L scores of patients in combination group and monotherapy group were 61.20±6.98 and 60.52±7.14, respectively, with no statistically significant difference ( t=0.43, P=0.668). After treatment, the FACT-L scores of the two groups were 83.24±9.38 and 74.58±7.86, respectively, with a statistically significant difference ( t=4.48, P<0.001), and the FACT-L scores of the two groups after treatment were all higher than before treatment ( t=29.36, P<0.001; t=21.51, P<0.001). During treatment, the total incidence of drug-related adverse reactions in two groups was 42.50% (17/40) and 55.00% (22/40), respectively, with no statistically significant difference ( χ2=1.25, P=0.263) . Conclusions:Atezolizumab combined with anlotinib in the treatment of advanced NSCLC can enhance the short-term efficacy, prolong the PFS of patients, improve the quality of life, and the related adverse reactions are tolerable.

Pelvic organ prolapse (POP), whose etiology is influenced by genetic and clinical risk factors, considerably impacts women's quality of life. However, the genetic underpinnings in non-European populations and comprehensive risk models integrating genetic and clinical factors remain underexplored. This study constructed the first polygenic risk score (PRS) for POP in the Chinese population by utilizing 20 disease-associated variants from the largest existing genome-wide association study. We analyzed a discovery cohort of 576 cases and 623 controls and a validation cohort of 264 cases and 200 controls. Results showed that the case group exhibited a significantly higher PRS than the control group. Moreover, the odds ratio of the top 10% risk group was 2.6 times higher than that of the bottom 10%. A high PRS was significantly correlated with POP occurrence in women older than 50 years old and in those with one or no childbirths. As far as we know, the integrated prediction model, which combined PRS and clinical risk factors, demonstrated better predictive accuracy than other existing PRS models. This combined risk assessment model serves as a robust tool for POP risk prediction and stratification, thereby offering insights into individualized preventive measures and treatment strategies in future clinical practice.
Humans ; Female ; Pelvic Organ Prolapse/epidemiology* ; Middle Aged ; Risk Assessment/methods* ; China/epidemiology* ; Multifactorial Inheritance ; Aged ; Risk Factors ; Genome-Wide Association Study ; Genetic Predisposition to Disease ; Case-Control Studies ; Adult ; Polymorphism, Single Nucleotide ; Genetic Risk Score ; East Asian People

ObjectiveTo establish the multi-technique characteristic profiles of Alumen by X-ray diffraction（XRD）， Fourier-transform infrared spectroscopy（FTIR） and thermogravimetric-differential thermal analysis（TG-DTA）， and to explore the spectral characteristics for rapid identification of Alumen and its potential adulterant， Ammonium alum. MethodsA total of 27 batches of Alumen samples from 8 production regions were collected for preliminary identification based on visual characteristics. The PDF standard cards of XRD were used to differentiate Alumen from A. alum， and the XRD characteristic profiles of Alumen were established， and then the common peaks were screened. Based on hierarchical clustering analysis（HCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）， the characteristic information that could be used for identification of Alumen was selected with variable importance in the projection（VIP） value>1. FTIR characteristic profiles of Alumen were established， and key wavenumbers for identification were screened by HCA and OPLS-DA with VIP value>1. Meanwhile， the thermogravimetric differences between Alumen and A. alum were analyzed by TG-DTA， and the thermogravimetric traits that could be used for identification were screened. ResultsAlumen and A. alum could not be effectively distinguished by traits alone. However， by comparing the PDF standard cards of XRD， 15 batches of Alumen and 12 batches of A. alum could be distinguished. In the XRD profiles， 10 characteristic peaks were confirmed， corresponding to diffraction angles of 14.560°， 24.316°， 12.620°， 32.122°， 17.898°， 34.642°， 27.496°， 46.048°， 40.697° and 21.973°. In the FTIR profiles， 4 wavenumber ranges（399.193-403.050， 1 186.010-1 471.420， 1 801.190-2 620.790， 3 612.020-3 997.710 cm^-1） and 12 characteristic wavenumbers（1 428.994， 1 430.922， 1 432.851， 1 434.779， 1 436.708， 1 438.636， 1 440.565， 1 442.493， 1 444.422， 1 446.350， 1 448.279， 1 450.207 cm^-1） were identified. In the TG-DTA profiles， there were characteristic decomposition peaks of ammonium ion and mass reduction features near 555.34 ℃ for A. alum. These characteristics could serve as important criteria for distinguishing the authenticity of Alumen. ConclusionXRD， FTIR and TG-DTA can be used to rapidly detect Alumen and A. alum， and combined with the discriminant features selected through chemometrics， the rapid and accurate identification of Alumen and A. alum can be achieved. The research findings provide new approaches for the rapid identification of Alumen.

ObjectiveTo establish the multi-technique characteristic profiles of Alumen by X-ray diffraction（XRD）， Fourier-transform infrared spectroscopy（FTIR） and thermogravimetric-differential thermal analysis（TG-DTA）， and to explore the spectral characteristics for rapid identification of Alumen and its potential adulterant， Ammonium alum. MethodsA total of 27 batches of Alumen samples from 8 production regions were collected for preliminary identification based on visual characteristics. The PDF standard cards of XRD were used to differentiate Alumen from A. alum， and the XRD characteristic profiles of Alumen were established， and then the common peaks were screened. Based on hierarchical clustering analysis（HCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）， the characteristic information that could be used for identification of Alumen was selected with variable importance in the projection（VIP） value>1. FTIR characteristic profiles of Alumen were established， and key wavenumbers for identification were screened by HCA and OPLS-DA with VIP value>1. Meanwhile， the thermogravimetric differences between Alumen and A. alum were analyzed by TG-DTA， and the thermogravimetric traits that could be used for identification were screened. ResultsAlumen and A. alum could not be effectively distinguished by traits alone. However， by comparing the PDF standard cards of XRD， 15 batches of Alumen and 12 batches of A. alum could be distinguished. In the XRD profiles， 10 characteristic peaks were confirmed， corresponding to diffraction angles of 14.560°， 24.316°， 12.620°， 32.122°， 17.898°， 34.642°， 27.496°， 46.048°， 40.697° and 21.973°. In the FTIR profiles， 4 wavenumber ranges（399.193-403.050， 1 186.010-1 471.420， 1 801.190-2 620.790， 3 612.020-3 997.710 cm^-1） and 12 characteristic wavenumbers（1 428.994， 1 430.922， 1 432.851， 1 434.779， 1 436.708， 1 438.636， 1 440.565， 1 442.493， 1 444.422， 1 446.350， 1 448.279， 1 450.207 cm^-1） were identified. In the TG-DTA profiles， there were characteristic decomposition peaks of ammonium ion and mass reduction features near 555.34 ℃ for A. alum. These characteristics could serve as important criteria for distinguishing the authenticity of Alumen. ConclusionXRD， FTIR and TG-DTA can be used to rapidly detect Alumen and A. alum， and combined with the discriminant features selected through chemometrics， the rapid and accurate identification of Alumen and A. alum can be achieved. The research findings provide new approaches for the rapid identification of Alumen.

Objective To explore the value of transvaginal ultrasound five-view method for diagnosing fetal congenital heart disease(CHD)in early pregnancy of high-risk pregnancy.Methods Totally 428 singleton fetuses at 11-13+6 weeks of gestation in high-risk pregnancies were prospectively enrolled.Fetal cardiac examinations were performed using two-dimensional grey scale imaging combined with CDFI via transabdominal ultrasound method,transvaginal ultrasound five-view method(upper abdominal transverse view,four-chamber view,three-vessel and trachea[3VT]view,ventricular outflow tract view and bilateral subclavian artery view)and transvaginal ultrasound two-view method(four-chamber view and 3VT view).Taken results of pregnant metaphase or late pregnancy fetal echocardiography,post-abortion pathology or postnatal neonatal echocardiography as gold standards,the diagnostic performances of the above 3 methods for diagnosing fetal CHD in early pregnancy were compared.Results CHD was diagnosed in 120(120/428,28.04％)fetuses.Transvaginal ultrasound five-view method made 11 false positives and 19 false negatives,with sensitivity,specificity,positive predictive value and negative predictive values for diagnosing fetal CHD in the first trimester of high-risk pregnancy of 84.17％,96.43％,90.18％and 93.99％,respectively,which were all significantly higher than of transvaginal ultrasound two-view method(70.83％,91.88％,77.27％and 88.99％)and transabdominal ultrasound method(72.50％,91.23％,76.32％and 89.49％;all P＜0.05).Conclusion Transvaginal ultrasound five-view method could be used to effectively diagnose fetal CHD in the first trimester of high-risk pregnancy.

Objective To investigate the mechanism of Astragali Complanati Semen in the prevention and treatment of hyperlipidemia;To provide theoretical basis for its clinical application.Methods The active components of Astragali Complanati Semen were retrieved and screened through TCMSP,TCMID and TDT databases to obtain the action targets of the active components.Hyperlipidemia targets were obtained through GeneCards,DisGeNET,and TTD databases,and the drug active component targets were intersected with hyperlipidemia targets.Cytoscape 3.9.1 software and STRING database were used to construct active component-target network and protein-protein interaction network,screening for major active components and core targets.GO and KEGG pathway enrichment analysis was performed using the DAVID database,and the CB-Dock platform was used for molecular docking.HepG2 cells were induced to construct a high-fat cell model using oleic acid and palmitic acid,and intervened with Astragali Complanati Semen freeze-dried powder solution.The mRNA expression of the core target was detected by RT-qPCR.Results A total of 10 active components of Astragali Complanati Semen and 67 potential action targets of hyperlipidemia were identified,involving signaling pathways such as AGE-RAGE,lipid metabolism,HIF-1,etc.Experimental results showed that intervention with Astragali Complanati Semen could reduce lipid accumulation in the high-lipid cell model,with an optimal intervention concentration of 500 μg/mL;RT-qPCR revealed significant down-regulation of TNFα,IL6,AKT1,PPARG,and other genes after intervention with Astragali Complanati Semen.Conclusion Astragali Complanati Semen exerts lipid-regulating effects through multiple targets and pathways,providing a basis for its application in the prevention and treatment of hyperlipidemia.

Objective:To systematically evaluate predictive models for stress urinary incontinence (SUI) in pregnant and postpartum women, providing a reference for model development, application, and promotion.Methods:A comprehensive literature search was conducted in PubMed, Embase, Web of Science, Cochrane Library, China National Knowledge Infrastructure, Wanfang Database, and China Biology Medicine disc for studies on SUI predictive models in pregnant and postpartum women. The search period was from database inception to September 30, 2024. Two researchers independently screened the literature and extracted data according to inclusion and exclusion criteria. The risk of bias in the predictive models was assessed using the prediction model risk of bias assessment tool.Results:A total of 23 studies were included, covering 31 predictive models for SUI, with a combined sample size of 14 473 women. Among them, six models focused on predicting SUI in pregnant women, while 25 models were developed for postpartum SUI. The predictive factors identified in these models were categorized into nine groups, including: general information for pregnant and postpartum women, delivery data, neonatal data, past history, abortion history, lifestyle data, pelvic floor muscle screening results, 2D and 3D ultrasound data, and serological indicators. Among these, age, mode of delivery, parity, body mass index, history of SUI, and neonatal weight were widely recognized as key predictive factors. External validation was performed in five studies. Five studies showed good applicability and low bias risk, except for one study that had limitations in both bias risk and applicability, and the remaining studies exhibited a high risk of bias but demonstrated good applicability.Conclusions:The methodological quality of SUI predictive models for pregnant and postpartum women needs further improvement. External validation remains insufficient. Future model development should be based on large-sample, prospective studies, incorporating appropriate predictive factors and stratifying SUI risk in different populations to enhance clinical applicability.

Objective To explore the value of transvaginal ultrasound five-view method for diagnosing fetal congenital heart disease(CHD)in early pregnancy of high-risk pregnancy.Methods Totally 428 singleton fetuses at 11-13+6 weeks of gestation in high-risk pregnancies were prospectively enrolled.Fetal cardiac examinations were performed using two-dimensional grey scale imaging combined with CDFI via transabdominal ultrasound method,transvaginal ultrasound five-view method(upper abdominal transverse view,four-chamber view,three-vessel and trachea[3VT]view,ventricular outflow tract view and bilateral subclavian artery view)and transvaginal ultrasound two-view method(four-chamber view and 3VT view).Taken results of pregnant metaphase or late pregnancy fetal echocardiography,post-abortion pathology or postnatal neonatal echocardiography as gold standards,the diagnostic performances of the above 3 methods for diagnosing fetal CHD in early pregnancy were compared.Results CHD was diagnosed in 120(120/428,28.04％)fetuses.Transvaginal ultrasound five-view method made 11 false positives and 19 false negatives,with sensitivity,specificity,positive predictive value and negative predictive values for diagnosing fetal CHD in the first trimester of high-risk pregnancy of 84.17％,96.43％,90.18％and 93.99％,respectively,which were all significantly higher than of transvaginal ultrasound two-view method(70.83％,91.88％,77.27％and 88.99％)and transabdominal ultrasound method(72.50％,91.23％,76.32％and 89.49％;all P＜0.05).Conclusion Transvaginal ultrasound five-view method could be used to effectively diagnose fetal CHD in the first trimester of high-risk pregnancy.

Objective To investigate the mechanism of Astragali Complanati Semen in the prevention and treatment of hyperlipidemia;To provide theoretical basis for its clinical application.Methods The active components of Astragali Complanati Semen were retrieved and screened through TCMSP,TCMID and TDT databases to obtain the action targets of the active components.Hyperlipidemia targets were obtained through GeneCards,DisGeNET,and TTD databases,and the drug active component targets were intersected with hyperlipidemia targets.Cytoscape 3.9.1 software and STRING database were used to construct active component-target network and protein-protein interaction network,screening for major active components and core targets.GO and KEGG pathway enrichment analysis was performed using the DAVID database,and the CB-Dock platform was used for molecular docking.HepG2 cells were induced to construct a high-fat cell model using oleic acid and palmitic acid,and intervened with Astragali Complanati Semen freeze-dried powder solution.The mRNA expression of the core target was detected by RT-qPCR.Results A total of 10 active components of Astragali Complanati Semen and 67 potential action targets of hyperlipidemia were identified,involving signaling pathways such as AGE-RAGE,lipid metabolism,HIF-1,etc.Experimental results showed that intervention with Astragali Complanati Semen could reduce lipid accumulation in the high-lipid cell model,with an optimal intervention concentration of 500 μg/mL;RT-qPCR revealed significant down-regulation of TNFα,IL6,AKT1,PPARG,and other genes after intervention with Astragali Complanati Semen.Conclusion Astragali Complanati Semen exerts lipid-regulating effects through multiple targets and pathways,providing a basis for its application in the prevention and treatment of hyperlipidemia.