1.Analysis of clinical phenotypes and genotypic characteristics in children with epilepsy
Yanli JIANG ; Lulu YAN ; Bin FU ; Dongli CAI ; Min XIE ; Xinhua SHAO ; Changshui CHEN ; Shanshan WU ; Haibo LI
Chinese Journal of Medical Genetics 2025;42(9):1045-1052
Objective:To investigate the clinical phenotypes and genetic variant characteristics in children with epilepsy.Methods:A total of 91 children with epilepsy admitted to the Women′s and Children′s Hospital Affiliated to Ningbo University from July 2021 to October 2022 were selected as the study subjects. Peripheral blood samples were collected from the children for whole exome sequencing. Candidate genetic variants were validated by Sanger sequencing and copy number variation sequencing (CNV-seq). The clinical phenotypes and treatment outcomes of the children with epilepsy were followed up, and an analysis of the relationship between genotype and phenotype was conducted. This study was approved by the Women′s and Children′s Hospital Affiliated to Ningbo University (Ethics No.: EC2020-048).Results:Among the 91 children with epilepsy, 21 cases (23.08%, 21/91) were found to carry pathogenic or likely pathogenic variants. Of these, 18 cases had involved single base variant or insertional deletion, while 3 cases involved copy number variations. The gene with the highest detection rate was PRRT2 (38.10%, 8/21). Among the children with genetic variants, 47.62% (10/21) had onset during infancy, with 8 diagnosed with Benign familial infantile epilepsy (BFIE), 8 with Developmental epileptic encephalopathy (DEE), and 3 with Epileptic encephalopathy (EE). One case of Dravet syndrome (DS) and one case of Infantile spasms (IS) were also noted. The clinical manifestations of children were diverse and primarily included generalized tonic-clonic seizures and focal seizures. Among them, 52.38% (11/21) had exhibited cluster seizures, 23.81% (5/21) showed fever sensitivity, and 14.29% (3/21) experienced status epilepticus. After pharmacological treatment, 42.86% (9/21) of children had achieved complete seizure control, while 61.90% (13/21) had intellectual disability and 19.05% (4/21) had co-morbid autism spectrum disorder. Conclusion:Pathogenic or likely pathogenic variants were identified in 23.08% of the pediatric epilepsy cases, with the PRRT2 gene being the most frequently involved. Among children carrying genetic variants, 47.62% had seizure onset during infancy. Genetic factors are an important cause of epilepsy, and early genetic testing may facilitate precise diagnosis, treatment, and prognostic evaluation.
2.Analysis of clinical phenotypes and genotypic characteristics in children with epilepsy.
Yanli JIANG ; Lulu YAN ; Bin FU ; Dongli CAI ; Min XIE ; Xinhua SHAO ; Changshui CHEN ; Shanshan WU ; Haibo LI
Chinese Journal of Medical Genetics 2025;42(9):1045-1052
OBJECTIVE:
To investigate the clinical phenotypes and genetic variant characteristics in children with epilepsy.
METHODS:
A total of 91 children with epilepsy admitted to the Women's and Children's Hospital Affiliated to Ningbo University from July 2021 to October 2022 were selected as the study subjects. Peripheral blood samples were collected from the children for whole exome sequencing. Candidate genetic variants were validated by Sanger sequencing and copy number variation sequencing (CNV-seq). The clinical phenotypes and treatment outcomes of the children with epilepsy were followed up, and an analysis of the relationship between genotype and phenotype was conducted. This study was approved by the Women's and Children's Hospital Affiliated to Ningbo University (Ethics No.: EC2020-048).
RESULTS:
Among the 91 children with epilepsy, 21 cases (23.08%, 21/91) were found to carry pathogenic or likely pathogenic variants. Of these, 18 cases had involved single base variant or insertional deletion, while 3 cases involved copy number variations. The gene with the highest detection rate was PRRT2 (38.10%, 8/21). Among the children with genetic variants, 47.62% (10/21) had onset during infancy, with 8 diagnosed with Benign familial infantile epilepsy (BFIE), 8 with Developmental epileptic encephalopathy (DEE), and 3 with Epileptic encephalopathy (EE). One case of Dravet syndrome (DS) and one case of Infantile spasms (IS) were also noted. The clinical manifestations of children were diverse and primarily included generalized tonic-clonic seizures and focal seizures. Among them, 52.38% (11/21) had exhibited cluster seizures, 23.81% (5/21) showed fever sensitivity, and 14.29% (3/21) experienced status epilepticus. After pharmacological treatment, 42.86% (9/21) of children had achieved complete seizure control, while 61.90% (13/21) had intellectual disability and 19.05% (4/21) had co-morbid autism spectrum disorder.
CONCLUSION
Pathogenic or likely pathogenic variants were identified in 23.08% of the pediatric epilepsy cases, with the PRRT2 gene being the most frequently involved. Among children carrying genetic variants, 47.62% had seizure onset during infancy. Genetic factors are an important cause of epilepsy, and early genetic testing may facilitate precise diagnosis, treatment, and prognostic evaluation.
Humans
;
Female
;
Male
;
Epilepsy/genetics*
;
Child, Preschool
;
Child
;
Phenotype
;
Genotype
;
DNA Copy Number Variations/genetics*
;
Infant
;
Membrane Proteins/genetics*
;
Nerve Tissue Proteins/genetics*
;
Adolescent
;
Exome Sequencing
3.Analysis of clinical applicability and implementation of expert consensus on the implementation and removal of protective restraints in psychiatry
Jianing GU ; Dongmei XU ; Jing SHAO ; Jing GAO ; Zhuang CAI ; Yanhua QU ; Xiaolu YE ; Mengqian ZHANG ; Dongli MEI ; Yanhong ZHANG ; Bo YANG ; Gen CHENG ; Lina WANG ; Junrong YE ; Ruiyue LIN ; Yongling ZHOU ; Runjuan MA
Chinese Journal of Nursing 2025;60(11):1359-1365
Objective To understand the clinical applicability and implementation of expert consensus on the implementation and removal of protective restraints in psychiatry,and to provide references for promoting the standardized practice of psychiatric protective restraints and updating the consensus.Methods By the convenience sampling method,a questionnaire survey was conducted among nurses from 480 hospitals in 30 provinces from June 15 to July 15,2024.The survey was conducted using the instrument for evaluating clinical applicability of guide-lines(version 2.0)and a self-compiled questionnaire on the clinical implementation of the restraint consensus.Results A total of 7,844 valid questionnaires were collected,with a valid questionnaire recovery rate of 93.78%.The results of clinical applicability scoring showed that the consensus had the lowest availability score(64.72%)and the highest acceptability score(76.74%).The results showed that nurses' receiving training and the level of their hospitals were the main influencing factors for scores in various dimensions(P<0.05).4,774 participants(87.42%)believed that the application of consensus could enhance the standardization of nurses' restraint operations.The safety rate of the restraint consensus was 79.51%,and the economic ratio was 76.87%.Among the evaluators,1,739(22.17%)believed that there were implementation obstacles in the consensus.Conclusion The clinical applicability of the consensus is relatively good,and the application of the consensus helps to improve the standardization of clinical operations.In the future,efforts should be made to strengthen the promotion and training of the consensus,develop hierarchical promotion strategies according to the characteristics of medical institutions,and improve the quality of evidence for the consensus,so as to further enhance the clinical application effect of the consensus.
4.Construction and validation of a predictive model for antibiotic-associated diarrhea after surgery in chil-dren with congenital heart disease
Dongli LIU ; Zilin QUAN ; Lingxiu ZHONG ; Qiqi CHEN ; Wenqiao CAI ; Senpei ZHUANG ; Ying WEI ; Huiyi PAN ; Yawen LIN
The Journal of Practical Medicine 2025;41(5):683-690
Objective To investigate the influencing factors of antibiotic-associated diarrhea(AAD)following congenital heart disease(CHD)surgery in pediatric patients,develop a nomogram-based predictive model,and validate its efficacy.Methods A retrospective analysis was conducted on the clinical data of pediatric patients who underwent CHD surgery in the Pediatric Intensive Care Unit(PICU)of a tertiary hospital in Guang-dong Province from July 2022 to July 2024.Patients were categorized into an AAD group and a non-AAD group.Univariate and multivariate logistic regression analyses were performed to identify risk factors for AAD occurrence following CHD surgery.A risk prediction model was developed,and a nomogram was constructed.The predictive performance of the model was evaluated using the Receiver Operating Characteristic(ROC)curve to calculate the area under the curve(AUC),the Hosmer-Lemeshow goodness-of-fit test,calibration curves,and clinical decision curve analysis.External validation of the model was conducted using data from patients in the Surgical Intensive Care Unit(SICU).Results The incidence of AAD following CHD surgery was 48.52%(229 out of 472 cases).Risk factors for AAD included the combined use of antibiotics,mechanical ventilation,elevated C-reactive protein levels,prolonged surgical duration,and extended antibiotic usage time(all with OR>1,P<0.05).Conversely,probiotic administration was identified as a protective factor(OR<1,P<0.05).The predictive model demon-strated excellent discrimination,as evidenced by the ROC curve areas:0.922(95%CI:0.894~0.951)in the modeling group,0.886(95%CI:0.838~0.915)in the internal validation group,and 0.862(95%CI:0.784~0.941)in the external validation group.Additionally,the model exhibited satisfactory calibration,as indicated by the Hosmer-Lemeshow test results:χ2=7.96,P=0.538 in the modeling group;χ2=4.24,P=0.895 in the inter-nal validation group;and χ2=9.923,P=0.270 in the external validation group.Furthermore,the model provided significant clinical utility.Conclusions Combined antibiotic use,duration of antibiotic therapy,mechanical ventilation,surgical duration,C-reactive protein(CRP)levels,and probiotic administration are key factors influ-encing the occurrence of AAD.The risk prediction model developed based on these variables demonstrates robust predictive performance and can serve as a valuable reference for the development and implementation of preventive and therapeutic strategies in clinical practice.
5.Construction and validation of a predictive model for antibiotic-associated diarrhea after surgery in chil-dren with congenital heart disease
Dongli LIU ; Zilin QUAN ; Lingxiu ZHONG ; Qiqi CHEN ; Wenqiao CAI ; Senpei ZHUANG ; Ying WEI ; Huiyi PAN ; Yawen LIN
The Journal of Practical Medicine 2025;41(5):683-690
Objective To investigate the influencing factors of antibiotic-associated diarrhea(AAD)following congenital heart disease(CHD)surgery in pediatric patients,develop a nomogram-based predictive model,and validate its efficacy.Methods A retrospective analysis was conducted on the clinical data of pediatric patients who underwent CHD surgery in the Pediatric Intensive Care Unit(PICU)of a tertiary hospital in Guang-dong Province from July 2022 to July 2024.Patients were categorized into an AAD group and a non-AAD group.Univariate and multivariate logistic regression analyses were performed to identify risk factors for AAD occurrence following CHD surgery.A risk prediction model was developed,and a nomogram was constructed.The predictive performance of the model was evaluated using the Receiver Operating Characteristic(ROC)curve to calculate the area under the curve(AUC),the Hosmer-Lemeshow goodness-of-fit test,calibration curves,and clinical decision curve analysis.External validation of the model was conducted using data from patients in the Surgical Intensive Care Unit(SICU).Results The incidence of AAD following CHD surgery was 48.52%(229 out of 472 cases).Risk factors for AAD included the combined use of antibiotics,mechanical ventilation,elevated C-reactive protein levels,prolonged surgical duration,and extended antibiotic usage time(all with OR>1,P<0.05).Conversely,probiotic administration was identified as a protective factor(OR<1,P<0.05).The predictive model demon-strated excellent discrimination,as evidenced by the ROC curve areas:0.922(95%CI:0.894~0.951)in the modeling group,0.886(95%CI:0.838~0.915)in the internal validation group,and 0.862(95%CI:0.784~0.941)in the external validation group.Additionally,the model exhibited satisfactory calibration,as indicated by the Hosmer-Lemeshow test results:χ2=7.96,P=0.538 in the modeling group;χ2=4.24,P=0.895 in the inter-nal validation group;and χ2=9.923,P=0.270 in the external validation group.Furthermore,the model provided significant clinical utility.Conclusions Combined antibiotic use,duration of antibiotic therapy,mechanical ventilation,surgical duration,C-reactive protein(CRP)levels,and probiotic administration are key factors influ-encing the occurrence of AAD.The risk prediction model developed based on these variables demonstrates robust predictive performance and can serve as a valuable reference for the development and implementation of preventive and therapeutic strategies in clinical practice.
6.Analysis of clinical applicability and implementation of expert consensus on the implementation and removal of protective restraints in psychiatry
Jianing GU ; Dongmei XU ; Jing SHAO ; Jing GAO ; Zhuang CAI ; Yanhua QU ; Xiaolu YE ; Mengqian ZHANG ; Dongli MEI ; Yanhong ZHANG ; Bo YANG ; Gen CHENG ; Lina WANG ; Junrong YE ; Ruiyue LIN ; Yongling ZHOU ; Runjuan MA
Chinese Journal of Nursing 2025;60(11):1359-1365
Objective To understand the clinical applicability and implementation of expert consensus on the implementation and removal of protective restraints in psychiatry,and to provide references for promoting the standardized practice of psychiatric protective restraints and updating the consensus.Methods By the convenience sampling method,a questionnaire survey was conducted among nurses from 480 hospitals in 30 provinces from June 15 to July 15,2024.The survey was conducted using the instrument for evaluating clinical applicability of guide-lines(version 2.0)and a self-compiled questionnaire on the clinical implementation of the restraint consensus.Results A total of 7,844 valid questionnaires were collected,with a valid questionnaire recovery rate of 93.78%.The results of clinical applicability scoring showed that the consensus had the lowest availability score(64.72%)and the highest acceptability score(76.74%).The results showed that nurses' receiving training and the level of their hospitals were the main influencing factors for scores in various dimensions(P<0.05).4,774 participants(87.42%)believed that the application of consensus could enhance the standardization of nurses' restraint operations.The safety rate of the restraint consensus was 79.51%,and the economic ratio was 76.87%.Among the evaluators,1,739(22.17%)believed that there were implementation obstacles in the consensus.Conclusion The clinical applicability of the consensus is relatively good,and the application of the consensus helps to improve the standardization of clinical operations.In the future,efforts should be made to strengthen the promotion and training of the consensus,develop hierarchical promotion strategies according to the characteristics of medical institutions,and improve the quality of evidence for the consensus,so as to further enhance the clinical application effect of the consensus.
7.Analysis of clinical phenotypes and genotypic characteristics in children with epilepsy
Yanli JIANG ; Lulu YAN ; Bin FU ; Dongli CAI ; Min XIE ; Xinhua SHAO ; Changshui CHEN ; Shanshan WU ; Haibo LI
Chinese Journal of Medical Genetics 2025;42(9):1045-1052
Objective:To investigate the clinical phenotypes and genetic variant characteristics in children with epilepsy.Methods:A total of 91 children with epilepsy admitted to the Women′s and Children′s Hospital Affiliated to Ningbo University from July 2021 to October 2022 were selected as the study subjects. Peripheral blood samples were collected from the children for whole exome sequencing. Candidate genetic variants were validated by Sanger sequencing and copy number variation sequencing (CNV-seq). The clinical phenotypes and treatment outcomes of the children with epilepsy were followed up, and an analysis of the relationship between genotype and phenotype was conducted. This study was approved by the Women′s and Children′s Hospital Affiliated to Ningbo University (Ethics No.: EC2020-048).Results:Among the 91 children with epilepsy, 21 cases (23.08%, 21/91) were found to carry pathogenic or likely pathogenic variants. Of these, 18 cases had involved single base variant or insertional deletion, while 3 cases involved copy number variations. The gene with the highest detection rate was PRRT2 (38.10%, 8/21). Among the children with genetic variants, 47.62% (10/21) had onset during infancy, with 8 diagnosed with Benign familial infantile epilepsy (BFIE), 8 with Developmental epileptic encephalopathy (DEE), and 3 with Epileptic encephalopathy (EE). One case of Dravet syndrome (DS) and one case of Infantile spasms (IS) were also noted. The clinical manifestations of children were diverse and primarily included generalized tonic-clonic seizures and focal seizures. Among them, 52.38% (11/21) had exhibited cluster seizures, 23.81% (5/21) showed fever sensitivity, and 14.29% (3/21) experienced status epilepticus. After pharmacological treatment, 42.86% (9/21) of children had achieved complete seizure control, while 61.90% (13/21) had intellectual disability and 19.05% (4/21) had co-morbid autism spectrum disorder. Conclusion:Pathogenic or likely pathogenic variants were identified in 23.08% of the pediatric epilepsy cases, with the PRRT2 gene being the most frequently involved. Among children carrying genetic variants, 47.62% had seizure onset during infancy. Genetic factors are an important cause of epilepsy, and early genetic testing may facilitate precise diagnosis, treatment, and prognostic evaluation.
8.Enterovirus nucleic acid detection and analysis on epidemiologic characteristics of hand-foot-month disease in Shenzhen area during 2015-2016
Chunqing ZHU ; Dongli MA ; Defeng CAI ; Xiaorong LIU ; Shan ZHONG
Journal of Chinese Physician 2018;20(5):693-696,700
Objective This study was to analysis the epidemiologic characteristics of hand-foot-month (HFMD) in Shenzhen during 2015-2016,to provide reference for the prevention and treatment of HFMD.Methods 7 758 statistical data from Shenzhen children's hospital clinical lab during 2015-2016 was included.We used real time fluorescent reverse transcription polymerase chain reaction (RT-PCR) to detect enterovirus general (EV),enterovirus 71 (EV71) and coxsackievirus A group 16 (CoxA16),and analyzed the age,sex and epidemic time of the patients.Results In 2015 and 2016,the positive rate of EV was 67.19% (2679/3987) and 52.61% (1 984/3 771) respectively,with statistically significant difference (x2 =71.84,P < 0.05).The radio of male to female children was 1.91∶1 (1 757/922) and 1.83∶1 (l 283/701) in 2015 and 2016,with statistically significant difference (P < 0.05).The age of the children was < 5 years old,accounting for more than 90% of the total number of patients.April to July and September were the two peaks of HFMD.The enterovirus of hand foot and mouth disease in Shenzhen was dominated by other enteroviruses (more than 82% of the total number of patients).With the increase of age,the proportion of EV71 in children with severe hand and foot was increasing,and the proportion of other enteroviruses was decreasing.Conclusions Vaccination is one of the important measures of HFMD control.It's beneficial for the diagnosis and treatment of HFMD to collected epidemiologic characteristics data about HFMD in Shenzhen.
9.Genotype analysis of α-thalassemia and β-thalassemia in child patients of Shenzhen region
Zhenmin REN ; Defeng CAI ; Weiwei XIAO ; Gang XU ; Yongqiu LIU ; Dongli MA
Chinese Journal of Clinical Laboratory Science 2017;35(8):605-608,636
Objective To investigate the genotype and mutation frequency of thalassemia in child patients of Shenzhen region so as to provide evidences for the gene diagnosis and genetic counseling of thalassemia.Methods A total of 1 206 child patients suspected with thalassemia were retrospectively analyzed.The gene deletion of α-thalassemia was detected by Gap-PCR.The point mutations of α-thalassemia and β-thalassemia were determined by reverse dot blot(RDB)-PCR.The specimens suspected with HKαα and rare gene mutations were determined with nested PCR and gene sequencing,respectively.Results The detection rate of thalassemia was 76.9% (927/ 1 206).Among them,α-thalassemia accounted for 40.5% (489/1 206),and--SEA/αα was the most common gene mutation(75.1%);β-thalassemia accounted for 33.7% (406/1 206),and the main IVS-2-654 (C→T) and CDM1-42 (-TCTT) heterozygous mutations accounted for 35% and 32.5%,respectively.In addition,there were 32(2.7%) β-thalassemia patients with α-thalassemia mutation,1 patient with HKαα/ααQS,1 α-thalassemia patient with CD61 (AAG→TAG)/--SEA and 1 β-thalassemia patient with CD5 (CCT→C).Conclusion The are complicated gene mutation types and rare gene mutations of thalassemia in child patients of Shenzhen region.
10.Exploration of high-throughput sequencing method in severe pneumonia pathogens detection
Xiaorong LIU ; Dongli MA ; Hanfang JIANG ; Hongyu CHEN ; Defeng CAI ; Chunqing ZHU ; Yuejie ZHENG ; Dongfang LI ; Zhenyu YANG ; Yanhong LIU
Chinese Journal of Laboratory Medicine 2017;40(8):609-613
Objective To establish the pipeline and evaluate the feasibility of high-throughput sequencing method used in the detection of severe pneumonia pathogens.Methods Clinical control study was used.Bronchi alveolar lavage fluids (BALF) samples from 76 patients with severe pneumonia (treatment group) and 18 patients with tracheal malacia (control group) and without clinical detected pathogens were collected during March 2015 to December 2016 in Shenzhen Children′s Hospital.The pathogens in the samples were detected using clinical tests and high-throughput sequencing respectively.The results of high-throughput sequencing were confirmed by real-time quantitative PCR and the high-throughput sequencing method used in the detection of severe pneumonia pathogens was evaluated.The χ2 test was used to analyze the correlation of detection rate between the high-throughput sequencing group and the non high-throughput sequencing group.Results The pipeline and method of high-throughput sequencing used in the severe pneumonia pathogens detection was established.The pipeline included sample collection, DNA extraction, library construction, sequencing, and bioinformatic analysis.In 76 cases of patients with severe pneumonia, the results of high-throughput sequencing in 66 cases of bronchoalveolar lavage fluid specimens were positive.The sensitivity was 86.84%, which was significantly higher than the total sensitivity of traditional clinical detection methods including bacterial culture, immunofluorescence and quantitative PCR(68.42%,52/76),χ2=7.426,P<0.001.A total of 13 pathogens were detected in 66 positive samples of high-throughput sequencing, including Mycoplasma pneumoniae, Streptococcus pneumoniae, Haemophilus influenzae and adenovirus, etc.Nine kinds of pathogens were detected in these samples through non-high-throughput sequencing.In the experimental group, the results obtained by clinical test and high-throughput (80.26%) were entirely consistent in 61 samples and not completely consistent in 15 samples (19.74%) specimens.These inconsistent results were mainly concentrated in the detection of adenovirus, Streptococcus pneumoniae and Haemophilus influenzae through high-throughput sequencing, whereas clinical cultures and immunofluorescence methods were not able to detect these pathogens.PCR validation showed that there was no significant difference between the results of high-throughput sequencing and the PCR tests (χ2=0.517,P=0.472), and the difference between the results of high-throughput sequencing and traditional clinical detection methods was statistically significant (χ2=11.671,P<0.001).Conclusion The method for the detection of severe pneumonia pathogens based on high-throughput sequencing is highly sensitive and can detect unknown pathogens, which is superior to those used in traditional clinical detection.

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