Objective:To establish a TaqMan-MGB probe-based method for detecting the polymorphic loci C677T and A1298C of the MTHFR gene.Methods:Specific primers and TaqMan-MGB probes targeting the C677T and A1298C polymorphic loci of the MTHFR gene were designed and optimized based on the gene sequence information.A real-time quantitative PCR detection system was established.Gradient dilution experiments were conducted to determine the limit of detection,and reproducibility experiments were performed to evaluate detection consistency.Specificity was validated using wild-type and mutant plasmid templates.The method was applied to detect 56 clinical samples,and its accuracy and practicality were assessed through comparison with traditional Sanger sequencing.Results:The TaqMan-MGB probe method demonstrated high specificity for detecting the C677T and A1298C loci,with no cross-reactivity between wild-type and mutant probes,enabling accurate genotype differentiation.Sensitivity experiments revealed detection limits of 1.13 × 103 copies/μL for C677T and 8.39 × 101 copies/μL for A1298C.Reproducibility experiments showed coefficients of variation below 1％,indicating stable and reliable results.Among the 56 clinical samples,the overall detection rate for the C677T locus was 86.99％,and for the A1298C locus,it was 97.92％.The TaqMan-MGB method exhibited good concordance with Sanger sequencing results.Conclusion:The TaqMan-MGB method exhibits high specificity,sensitivity,and excellent reproducibility in detecting the polymorphic loci C677T and A1298C of the MTHFR gene,making it suitable for rapid detection in large-scale clinical samples.This method provides an effective molecular diagnostic tool for the early diagnosis and prevention of folate-related diseases.

Purpose To construct a comprehensive model of deep learning features and clinical features based on renal ultrasound for early identification of renal impairment in the pregnant women with preeclampsia.Materials and Methods The information of 279 pregnant women in the First Affiliated Hospital of Guangxi Medical University from January 2018 to June 2023 were retrospectively collected,and all pregnant women were divided the into preeclampsia group(151 cases)and normal group(128 cases).The dataset was randomly divided into a training set(195 samples)and a testing set(84 samples)at a ratio of 7∶3.Based on ultrasound images,the deep learning convolutional neural networks Resnet152 was used to extract deep learning features.The non-zero coefficient features were selected from the deep learning features by the least absolute shrinkage and selection operator,and the K-nearest neighbor algorithm was used to establish the deep learning model.Then,the same classifier model was used to construct a comprehensive model based on clinical data.The receiver operating characteristic curve was used to evaluate the prediction effect.To address the interpretability visualization of models using gradient_weighted class activation mapping and SHapley Additive exPlanations(SHAP)values.Results The area under the curve of the composite model was 0.964(95%CI 0.940-0.988)in the training cohort and 0.899(95%CI 0.835-0.963)in the test cohort.SHAP analysis showed that deep learning features contributed the highest value in the prediction model.Conclusion The comprehensive model based on deep learning combined with clinical features of renal ultrasound can be used to identify renal impairment in normal pregnancy and preeclampsia pregnant women at an early stage,which is conducive to early clinical intervention.

Objective:To establish a TaqMan-MGB probe-based method for detecting the polymorphic loci C677T and A1298C of the MTHFR gene.Methods:Specific primers and TaqMan-MGB probes targeting the C677T and A1298C polymorphic loci of the MTHFR gene were designed and optimized based on the gene sequence information.A real-time quantitative PCR detection system was established.Gradient dilution experiments were conducted to determine the limit of detection,and reproducibility experiments were performed to evaluate detection consistency.Specificity was validated using wild-type and mutant plasmid templates.The method was applied to detect 56 clinical samples,and its accuracy and practicality were assessed through comparison with traditional Sanger sequencing.Results:The TaqMan-MGB probe method demonstrated high specificity for detecting the C677T and A1298C loci,with no cross-reactivity between wild-type and mutant probes,enabling accurate genotype differentiation.Sensitivity experiments revealed detection limits of 1.13 × 103 copies/μL for C677T and 8.39 × 101 copies/μL for A1298C.Reproducibility experiments showed coefficients of variation below 1％,indicating stable and reliable results.Among the 56 clinical samples,the overall detection rate for the C677T locus was 86.99％,and for the A1298C locus,it was 97.92％.The TaqMan-MGB method exhibited good concordance with Sanger sequencing results.Conclusion:The TaqMan-MGB method exhibits high specificity,sensitivity,and excellent reproducibility in detecting the polymorphic loci C677T and A1298C of the MTHFR gene,making it suitable for rapid detection in large-scale clinical samples.This method provides an effective molecular diagnostic tool for the early diagnosis and prevention of folate-related diseases.

Creutzfeldt-Jakob disease(CJD)is a rapidly progressive and fatal neurodegenerative disorder caused by prions,with certain infectivity and iatrogenic transmission risks.With the rapid progress and application of new dia-gnostic biomarkers and detection methods,as well as the construction and improvement of surveillance and reporting systems,the detection of CJD in patients domestically and internationally has shown an increasing trend year by year.Due to its long incubation period and heterogeneity of early symptoms,early identification and diagnosis of the disease is difficult,increasing the risk of transmission within medical institutions.Currently,there is a lack of con-sensus on the infection prevention and control of CJD.In order to timely identify and diagnose CJD as well as effec-tively block its transmission in medical institutions,this consensus summarizes 15 clinical concerns and formulates 24 specific recommendations based on the latest domestic and international research findings and clinical evidence,as well as combines with clinical practice,aiming to standardize healthcare-associated infection prevention and control measures for CJD and reduce its transmission risk in medical institutions.

Creutzfeldt-Jakob disease(CJD)is a rapidly progressive and fatal neurodegenerative disorder caused by prions,with certain infectivity and iatrogenic transmission risks.With the rapid progress and application of new dia-gnostic biomarkers and detection methods,as well as the construction and improvement of surveillance and reporting systems,the detection of CJD in patients domestically and internationally has shown an increasing trend year by year.Due to its long incubation period and heterogeneity of early symptoms,early identification and diagnosis of the disease is difficult,increasing the risk of transmission within medical institutions.Currently,there is a lack of con-sensus on the infection prevention and control of CJD.In order to timely identify and diagnose CJD as well as effec-tively block its transmission in medical institutions,this consensus summarizes 15 clinical concerns and formulates 24 specific recommendations based on the latest domestic and international research findings and clinical evidence,as well as combines with clinical practice,aiming to standardize healthcare-associated infection prevention and control measures for CJD and reduce its transmission risk in medical institutions.

[Objective]To analyze the clinical characteristics,efficacy of growth hormone(GH)therapy,and follow-up of a child with Rauch-Steindl syndrome(RAUST)caused by NSD2 gene mutation,aiming to enhance pediatricians'understanding of this disorder.[Methods]We summarized the clinical features,gene test results,outcomes of GH therapy,and follow-up data of a child with RAUST syndrome caused by NSD2 mutation admitted to the Pediatric Endocrinology Department of Sun Yat-sen Memorial Hospital in April 2017,and then conducted a comparative analysis with relevant literature.[Results]The 2.9-year-old boy at initial visit was born prematurely at 36 weeks of gestation,with a birth weight of 1.7 kg and a body length of 42.0 cm.Clinical manifestations included intrauterine growth retardation,delayed language and motor development,extreme short stature(82.0 cm,-3.7 SD),emaciation,and distinctive facial features(triangular face,narrow jaw,prominent forehead,arched eyebrows,sparse eyebrows,high anterior hairline,crowded dentition),accompanied by bilateral cryptorchidism.Bone age was delayed by 1.4 years.Karyotyping and chromosomal microarray analysis were normal.GH therapy initiated at 3.8 years old yielded annual growth rates of 4.9-6.6 cm/year.When the treatment was discontinued at the age of 8.0,the boy's height was 113.7 cm(-3.0 SD),with subsequent decline in growth velocity.Whole exome sequencing in July 2024 identified a frameshift variant c.4028del(p.Pro1343Glnfs*49)in NSD2,which was confirmed as de novo pathogenic variation by parental Sanger sequencing.[Conclusions]This study reports the clinical features of RAUST syndrome caused by NSD2 mutation and explores the long-term efficacy of GH therapy.The findings contribute to a better understanding of this rare syndrome and further optimize its diagnosis and management.

[Objective]To analyze the clinical characteristics,efficacy of growth hormone(GH)therapy,and follow-up of a child with Rauch-Steindl syndrome(RAUST)caused by NSD2 gene mutation,aiming to enhance pediatricians'understanding of this disorder.[Methods]We summarized the clinical features,gene test results,outcomes of GH therapy,and follow-up data of a child with RAUST syndrome caused by NSD2 mutation admitted to the Pediatric Endocrinology Department of Sun Yat-sen Memorial Hospital in April 2017,and then conducted a comparative analysis with relevant literature.[Results]The 2.9-year-old boy at initial visit was born prematurely at 36 weeks of gestation,with a birth weight of 1.7 kg and a body length of 42.0 cm.Clinical manifestations included intrauterine growth retardation,delayed language and motor development,extreme short stature(82.0 cm,-3.7 SD),emaciation,and distinctive facial features(triangular face,narrow jaw,prominent forehead,arched eyebrows,sparse eyebrows,high anterior hairline,crowded dentition),accompanied by bilateral cryptorchidism.Bone age was delayed by 1.4 years.Karyotyping and chromosomal microarray analysis were normal.GH therapy initiated at 3.8 years old yielded annual growth rates of 4.9-6.6 cm/year.When the treatment was discontinued at the age of 8.0,the boy's height was 113.7 cm(-3.0 SD),with subsequent decline in growth velocity.Whole exome sequencing in July 2024 identified a frameshift variant c.4028del(p.Pro1343Glnfs*49)in NSD2,which was confirmed as de novo pathogenic variation by parental Sanger sequencing.[Conclusions]This study reports the clinical features of RAUST syndrome caused by NSD2 mutation and explores the long-term efficacy of GH therapy.The findings contribute to a better understanding of this rare syndrome and further optimize its diagnosis and management.

Purpose To construct a comprehensive model of deep learning features and clinical features based on renal ultrasound for early identification of renal impairment in the pregnant women with preeclampsia.Materials and Methods The information of 279 pregnant women in the First Affiliated Hospital of Guangxi Medical University from January 2018 to June 2023 were retrospectively collected,and all pregnant women were divided the into preeclampsia group(151 cases)and normal group(128 cases).The dataset was randomly divided into a training set(195 samples)and a testing set(84 samples)at a ratio of 7∶3.Based on ultrasound images,the deep learning convolutional neural networks Resnet152 was used to extract deep learning features.The non-zero coefficient features were selected from the deep learning features by the least absolute shrinkage and selection operator,and the K-nearest neighbor algorithm was used to establish the deep learning model.Then,the same classifier model was used to construct a comprehensive model based on clinical data.The receiver operating characteristic curve was used to evaluate the prediction effect.To address the interpretability visualization of models using gradient_weighted class activation mapping and SHapley Additive exPlanations(SHAP)values.Results The area under the curve of the composite model was 0.964(95%CI 0.940-0.988)in the training cohort and 0.899(95%CI 0.835-0.963)in the test cohort.SHAP analysis showed that deep learning features contributed the highest value in the prediction model.Conclusion The comprehensive model based on deep learning combined with clinical features of renal ultrasound can be used to identify renal impairment in normal pregnancy and preeclampsia pregnant women at an early stage,which is conducive to early clinical intervention.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective To explore the potential influencing factors of post-operative healthcare-associated infection(HAI)in colorectal cancer patients,as well as the mediating effect relationship between the influencing factors and the diagnosis-intervention packet(DIP)payment differentials.Methods Medical data of patients who underwent colorectal cancer surgery in a tertiary first-class cancer hospital in Guangzhou were retrospectively analyzed.According to HAI status,patients were divided into infection group and non-infection group.Baseline demographic information and differences in DIP payment differentials between two groups of patients were compared by rank sum test or chi-square test.The influence of each potential factor on the occurrence of HAI was analyzed by logistic re-gression.Mediating analysis was preformed by bootstrap method,and mediating effect of HAI and total hospitaliza-tion days on DIP payment differentials was evaluated.Results A total of 350 patients were included in analysis,50 were in the infection group and 300 in the non-infection group.The incidence of HAI was 14.29％.Logistic regres-sion analysis result showed that risk of HAI in patients with central venous catheterization ≥10.00 days was 13.558 times higher than that＜10.00 days(P＜0.001);risk of HAI in patients with urinary catheterization ≥3.00 days was 2.388 times higher than that＜3.00 days(P=0.022).There were all statistically significant differences in DIP payment differentials among patients with different ages,prognostic nutritional index(PNI),HAI status,total length of hospitalization stay,duration of surgery,central venous catheterization days,and catheterization days(all P＜0.05).The mediating analysis results showed that the occurrence of HAI resulted a change in DIP payment di-fferentials by affecting the total number of hospitalization days.The mediating effect value of total hospitalization days was 0.038,accounting for 35.68％of the total effect.Conclusion Medical institutions should pay attention to HAI resulting from prolonged central venous and urinary catheterization in patients underwent surgery for colorectal cancer,reducing the total length of hospital stay,thus reducing the overruns associated with the increased DIP pay-ment differentials.