Objective To explore the value of the ratio of soluble FmS-like tyrosine kinase-1(sFlt-1)to placental growth factor(PlGF)in predicting vitamin D deficiency in pregnant women with preeclampsia.Methods A total of 740 singleton pregnant women who underwent prenatal examination in Qijiang Health Center for Maternal and Child Care from January to November 2023 and were able to complete follow-up were selected as the research subjects.They were divided into the normal group(n=44)and the deficiency group(n=696)according to the vitamin D[1,25-(OH)2D3]level.Information such as age,BMI,pregnancy histo-ry,family history and medical history of each group was collected.5 mL of peripheral venous blood was drawn after fasting for 6-8 hours at 12-14 weeks of pregnancy to detect the levels of sFlt-1,PlGF and vitamin D in peripheral blood,and evaluated the predictive value of sFlt-1/PlGF for vitamin D deficiency in preeclampsia.Results There were no statistically significant differences in general conditions such as height,age,BMI,edu-cational level and occupation between the two groups(P>0.05).There were statistically significant differ-ences in the prenatal weight,vitamin D level,sFlt-1/PlGF and neonatal birth weight between the two groups(P<0.05).The results of univariate analysis showed that the prenatal weight,sFlt-1/PlGF,and neonatal birth weight were risk factors for vitamin D deficiency in patients with PE.The results of multivariate analysis showed that sFlt-1/PlGF and neonatal birth weight were factors for predicting vitamin D deficiency in patients with PE(P<0.05).All these variables are used to establish the nomogram prediction model.The receiver op-erating characteristic(ROC)curve showed that area under the curve(AUC)of the training group and the val-idation group was 0.66(95%CI:0.56-0.77)and 0.63(95%CI:0.49-0.76),respectively.Conclusion In pregnant women with preeclampsia,elevated sFlt-1/PlGF may be an early warning indicator for predicting vi-tamin D deficiency.

[Objective] To compare next generation sequencing (NGS) library construction technology between probe hybridization capture and amplicon methods, and analyze the influencing factors of HLA genotyping resolution level and its prospects in clinical applications. [Methods] A total of 207 clinical samples with known typing results and samples from the proficiency testing plan were selected. The conformity rate of HLA genotyping results, allele coverage and typing data analysis indicators were confirmed, and the effects of two library construction methods on the level of HLA genotyping discrimination were compared. [Results] The concordance rate of 207 samples with the feedback results of PT or prior well-characterized HLA genotypes was 100%. Among them, 91 samples were captured using hybridization probe capture method. Compared with the original amplicon method, the hybridization probe capture method can distinguish the alleles of DRB1 and DPB1 that cannot be determined in 13 samples. The allelic imbalance of DRB1, DPA1, and DQB1 loci in 6 samples was resolved. Three samples were found to have missed detection of alleles at the DQA1 and DQB1 loci. [Conclusion] The performance indicators of hybridization probe capture and amplicon performance confirmation meet the requirements of clinical detection of HLA genotyping, which provides an experimental method and basis for clinical application.

Under the background of increasingly severe drug-resistant bacteria infections,protracted course of chronic wounds has become clinical difficulties disturbing both patients and doctors.With the unique advantages of broad antibacterial spectrum,low drug resistance rate and high safety,polyhexanide antibacterial agent has gradu-ally become a major approach for treatment and nursing of chronic wounds.The application of polyhexamethylene biguanide(PHMB)antimicrobial agents in treatment and nursing of chronic wounds was reviewed in the article,including the antibacterial properties,comparisons with other antimicrobial agents,actual clinical practice and potential side effects,aiming to guide the further application of PHMB antimicrobial agents in treatment of chronic wounds.

Objective:To explore the diagnostic value of a clinical-radiomics model based on the T 1 mapping and apparent diffusion coefficient (ADC)-based radiomics, and the clinical indicator for renal fibrosis (RF) caused by chronic kidney disease (CKD). Methods:This cross-sectional study prospectively and consecutively enrolled 122 patients with CKD at the Second Affiliated Hospital of Soochow University from September 2021 to December 2023 who were randomly allocated to a training set ( n=85) or a validation set ( n=37) in an approximate 7∶3 ratio using simple random sampling. Patients underwent T 1 mapping and diffusion-weighted imaging scans. Renal biopsy was performed within 3 days after the MRI scans. Patients were categorized into three groups based on the degree of RF: no RF ( n=25), mild RF ( n=55), and moderate to severe RF ( n=42). To differentiate the presence of RF (no RF vs. any RF) and the severity of RF (mild RF vs. moderate to severe RF), univariate and multivariate logistic regression were used to optimize the independent clinical predictor, which constituted the clinical model. Radiomics features were extracted from regions of interest delineated within the renal parenchyma of the right kidney on T 1 mapping and ADC maps. Features were selected using least absolute shrinkage and selection operator regression to build the radiomics model. A clinical-radiomics model was subsequently constructed by integrating the independent clinical predictors with the selected radiomics features. Model diagnostic performance was evaluated using the area under the receiver operating characteristic curve (AUC). Calibration curve was plotted to assess model calibration, and decision curve analysis was performed to evaluate clinical net benefit. Results:Univariate logistic regression analysis revealed that estimated glomerular filtration rate (eGFR), serum creatinine, and blood urea nitrogen exhibited statistically significant differences ( P0.05) in distinguishing both the presence and severity of RF. Multivariate analysis identified eGFR as an independent clinical predictor for both the presence of RF ( OR=0.939, 95% CI 0.898-0.982, P=0.006) and RF severity ( OR=0.956, 95% CI 0.917-0.997, P=0.037). From the MRI images, 7 radiomics features were selected to build the radiomics model for distinguishing the presence of RF, and 8 features were selected for the model assessing RF severity. These radiomics models were then combined with eGFR to construct the clinical-radiomics models. The clinical-radiomics models demonstrated the highest diagnostic performance, with an AUC of 0.935 (95% CI 0.859-0.977) for RF presence and 0.967 (95% CI 0.891-0.995) for RF severity in the training set, and 0.914 (95% CI 0.774-0.981) and 0.908 (95% CI 0.748-0.981) in the validation set. Calibration curves and decision curve analysis confirmed that the clinical-radiomics models exhibited excellent calibration and provided the highest clinical net benefit for assessing RF in CKD patients. Conclusion:The clinical-radiomics model integrating T 1 mapping and ADC-based radiomics and eGFR can effectively improve the diagnostic performance for RF in CKD patients.

The application of single-cell RNA sequencing (scRNA-seq) technology in the pathogenesis, diagnosis and treatment of inflammatory bowel disease (IBD) has received widespread attention. scRNA-seq technology can probe into the relationships between biomolecules at the single-cell level, allowing the discovery of previously unknown cell types, which can help to deepen the understanding of complex diseases such as IBD. This article reviews the research progress of scRNA-seq in IBD, including the exploration of the pathogenesis of IBD, the revelation of the similarities and differences between different types of IBD, the prediction of efficacy and prognosis of IBD drugs, hoping to provide useful help to scholars who study IBD by using scRNA-seq technology.

Objective To analyze the research hotspots and frontiers in the field of cost management in Chinese hospitals and provide a reference for cost management research and practice in hospitals.Methods Based on the CNKI and Wanfang da-tabases,relevant literature up to May 31,2024 was retrieved and recorded,totaling 3 589 records,and then analyzed using Citespace visualization software.Results Literature reports have been seen since 1987,with a significant increase in 2000 and reaching its peak in 2010.A total of 16 core topics have been formed,including cost accounting,public hospitals,hospitals,ac-tivity-based costing,management,cost management,economic management,medical costs,hospital financial system,and medi-cal expenses.In recent years,emerging terms have been disease diagnosis related groups,operational management,medical sup-plies,refined management,cost control,and business finance integration.Conclusion External policies have promoted the pro-gress of research and practice in cost management in hospitals;disease diagnosis related groups and cost control are the latest hotspots in cost management research and practice in hospitals;and the importance of business finance integration in hospital op-erations management is gradually increasing.

Objective:To explore the diagnostic value of a clinical-radiomics model based on the T 1 mapping and apparent diffusion coefficient (ADC)-based radiomics, and the clinical indicator for renal fibrosis (RF) caused by chronic kidney disease (CKD). Methods:This cross-sectional study prospectively and consecutively enrolled 122 patients with CKD at the Second Affiliated Hospital of Soochow University from September 2021 to December 2023 who were randomly allocated to a training set ( n=85) or a validation set ( n=37) in an approximate 7∶3 ratio using simple random sampling. Patients underwent T 1 mapping and diffusion-weighted imaging scans. Renal biopsy was performed within 3 days after the MRI scans. Patients were categorized into three groups based on the degree of RF: no RF ( n=25), mild RF ( n=55), and moderate to severe RF ( n=42). To differentiate the presence of RF (no RF vs. any RF) and the severity of RF (mild RF vs. moderate to severe RF), univariate and multivariate logistic regression were used to optimize the independent clinical predictor, which constituted the clinical model. Radiomics features were extracted from regions of interest delineated within the renal parenchyma of the right kidney on T 1 mapping and ADC maps. Features were selected using least absolute shrinkage and selection operator regression to build the radiomics model. A clinical-radiomics model was subsequently constructed by integrating the independent clinical predictors with the selected radiomics features. Model diagnostic performance was evaluated using the area under the receiver operating characteristic curve (AUC). Calibration curve was plotted to assess model calibration, and decision curve analysis was performed to evaluate clinical net benefit. Results:Univariate logistic regression analysis revealed that estimated glomerular filtration rate (eGFR), serum creatinine, and blood urea nitrogen exhibited statistically significant differences ( P0.05) in distinguishing both the presence and severity of RF. Multivariate analysis identified eGFR as an independent clinical predictor for both the presence of RF ( OR=0.939, 95% CI 0.898-0.982, P=0.006) and RF severity ( OR=0.956, 95% CI 0.917-0.997, P=0.037). From the MRI images, 7 radiomics features were selected to build the radiomics model for distinguishing the presence of RF, and 8 features were selected for the model assessing RF severity. These radiomics models were then combined with eGFR to construct the clinical-radiomics models. The clinical-radiomics models demonstrated the highest diagnostic performance, with an AUC of 0.935 (95% CI 0.859-0.977) for RF presence and 0.967 (95% CI 0.891-0.995) for RF severity in the training set, and 0.914 (95% CI 0.774-0.981) and 0.908 (95% CI 0.748-0.981) in the validation set. Calibration curves and decision curve analysis confirmed that the clinical-radiomics models exhibited excellent calibration and provided the highest clinical net benefit for assessing RF in CKD patients. Conclusion:The clinical-radiomics model integrating T 1 mapping and ADC-based radiomics and eGFR can effectively improve the diagnostic performance for RF in CKD patients.

Objective:To investigate the expression of long noncoding RNA (lncRNA) BMPR1B-AS1 in ovarian cancer and its impact on prognosis, so as to evaluate its value as a potential biomarker.Methods:The TCGA, GEPIA, and UALCAN databases were used to retrospectively analyze the expression differences of BMPR1B-AS1 in gynecological tumors, and prognostic analysis was performed in combination with clinical data. The expression level of BMPR1B-AS1 in ovarian cancer tissues and cell lines was verified by real-time fluorescent quantitative reverse transcription polymerase chain reaction (RT-qPCR), and univariate and multivariate Cox regression models were used to analyze its relationship with the prognosis of ovarian cancer.Results:Database analysis showed that the expression of BMPR1B-AS1 in ovarian cancer and endometrial cancer was higher than that in the non-tumor group (all P<0.05), and high expression of BMPR1B-AS1 in ovarian cancer was associated with better prognosis ( P<0.05). Experimental verification showed that the expression of BMPR1B-AS1 in ovarian cancer tissues was significantly higher than that in benign ovarian tissues, and the expression of BMPR1B-AS1 in ovarian cancer cell lines was higher than that in normal human ovarian epithelial cells ( P<0.05). Cox regression analysis indicated that high expression of BMPR1B-AS1 was an independent protective factor for the prognosis of ovarian cancer ( P<0.05). Conclusions:The expression of BMPR1B-AS1 in ovarian cancer and endometrial cancer is higher than that in non-tumor groups, and it is an independent protective factor for good prognosis in ovarian cancer patients. It may serve as a new biomarker, providing new ideas for the diagnosis and treatment of ovarian cancer.

Objective To analyze the research hotspots and frontiers in the field of cost management in Chinese hospitals and provide a reference for cost management research and practice in hospitals.Methods Based on the CNKI and Wanfang da-tabases,relevant literature up to May 31,2024 was retrieved and recorded,totaling 3 589 records,and then analyzed using Citespace visualization software.Results Literature reports have been seen since 1987,with a significant increase in 2000 and reaching its peak in 2010.A total of 16 core topics have been formed,including cost accounting,public hospitals,hospitals,ac-tivity-based costing,management,cost management,economic management,medical costs,hospital financial system,and medi-cal expenses.In recent years,emerging terms have been disease diagnosis related groups,operational management,medical sup-plies,refined management,cost control,and business finance integration.Conclusion External policies have promoted the pro-gress of research and practice in cost management in hospitals;disease diagnosis related groups and cost control are the latest hotspots in cost management research and practice in hospitals;and the importance of business finance integration in hospital op-erations management is gradually increasing.