Objective:To investigate associations between cardiac biomarkers with stroke severity and short-term outcome in patients with acute ischemic stroke (AIS).Methods:Patients with AIS admitted to the Affiliated Hospital of Qingdao University from June 2018 to February 2024 whose etiological classification was large artery atherosclerosis (LAA), small vessel occlusion (SVO) or cardioembolism (CE) were included retrospectively. According to the National Institutes of Health Stroke Scale score at admission, patients were divided into mild stroke group (≤8) and moderate to severe stroke group (>8). According to the modified Rankin Scale score at discharge, patients were divided into good outcome group (≤2) and poor outcome group (>2). Multivariate logistic regression analysis was used to determine the independent correlation between cardiac biomarkers and short-term outcome. The predictive value of cardiac biomarkers for poor outcome in patients with AIS and different stroke etiology subtypes were evaluated using receiver operating characteristic (ROC) curves. Results:A total of 2 151 patients with AIS were enrolled, including 1 256 males (58.4%), aged 67.40±11.34 years. 1 079 patents were LAA type (50.2%), 679 were SVO type (31.6%), and 393 were CE type (18.3%); 1 223 were mild stroke (56.86%) and 928 (43.14%) were moderate to severe stroke; 1 357 patients (63.09%) had good short-term outcome, and 794 (36.91%) had poor short-term outcome. Multivariate logistic regression analysis showed that N-terminal pro-B type natriuretic peptide (NT-proBNP), NT-proBNP/creatine kinase (CK) isoenzyme MB (CK-MB) ratio, and CK-MB/CK ratio were independent risk factors for poor short-term outcome. ROC curve analysis shows that the CK-MB/CK ratio had a higher predictive value for short-term poor outcome in patients with AIS (the area under the curve, 0.859, 95% confidence interval 0.839-0.879). Various cardiac biomarkers had a higher predictive value for short-term outcome of CE type and LAA type, but the predictive value for short-term outcome of SVO type was lower. Conclusions:Cardiac biomarkers are associated with the severity and poor outcome of AIS. NT-proBNP/CK-MB and CK-MB/CK ratios have higher predictive value for short-term poor outcome of AIS, especially in patients with CE type.

Objective To screen items of the Clinical Aided Decision Scheme for Stroke Simultaneous Treatment of Disease,Pulse and Syndrome;To provide reference for the formulation and improvement of the scheme.Methods The Delphi method was used to distribute two rounds of questionnaires to 60 experts in cerebropathy or neurology across the country.Statistical analysis was performed on the questionnaire results of the scheme's items,including the disease names,etiology and pathogenesis,syndrome characteristics,rules and regulations,representative prescriptions,acupuncture and other therapies,and preventive care.Results Totally 42 and 50 valid questionnaires were collected.The experts reached the consensus for the importance of etiology and pathogenesis,rules and regulations,acupuncture and other therapies,and preventive care.In the section on syndrome characteristics,items with low relevance or causing ambiguity were removed.Items that were no longer used in modern times and different prescriptions with the same name were removed from the representative prescriptions.The names of syndromes,rules and regulations were unified.Conclusion The experts generally reached the consensus for the importance of the Clinical Aided Decision Scheme for Stroke Simultaneous Treatment of Disease,Pulse and Syndrome.However,there are still some limitations that require further study and discussion.

Abstract Tobacco use is not only harmful to adolescents physical and mental health, but is also closely related to future adults smoking prevalence, and interventions can delay the age at which adolescents take their first puff as much as possible. The article summarizes and analyzes the effectiveness of tobacco control interventions based on schools, communities or families, and a combination of multiple venues. It compares the characteristics of offline, online, and a combination of offline and online tobacco control interventions for adolescents,so as to provide references for the design and implementation of adolescent tobacco control interventions, and the effective, sustainable, and replicable adolescent tobacco control intervention models.

Post traumatic depression (PTD) is a serious complication after traumatic brain injury, with high incidence rate; PTD seriously affects the rehabilitation, outcome and quality of life of patients. Due to unclear pathogenesis of PTD, effective treatments have not yet been found in clinical practice. Repetitive transcranial magnetic stimulation (rTMS), as a new non-invasive neuroregulatory technique, has been used in major depression disorder (MDD). Few clinical evidence on PTD treated by rTMS is noted and optimal rTMS treatment regimen has not yet been defined.This article reviews the clinical studies of rTMS in PTD in recent years, with a view to provide references for clinical application.

Objective To study the expression levels of serum complement C1q/tumor necrosis factor-related protein 6(CTRP6)in women in early pregnancy and to explore its relationship with gestational diabetes mellitus(GDM).Methods Women at the Second Affiliated Hospital of Zhengzhou University from March 2021 to March 2022 were prospectively and consecutively selected from 10 to 13 weeks gestation for outpatient obstetric check-ups.The age,height,weight,and time of last menstruation of pregnant women were collected,and the levels of total cholesterol(TC),triglyceride(TG),high density lipoprotein(HDL),low density lipoprotein(LDL),fasting plasma glucose(FPG),glycosylated hemoglobin(HbA1c),fasting insulin(FINS)and CTRP6 were measured in early pregnancy,and the pre-pregnancy body mass index(BMI),baseline BMI,prenatal BMI,and homeostatic model assessment of insulin resistance(HOMA-IR)were calculated.All pregnant women underwent a 75g oral glucose tolerance test at 24-28 weeks of gestation and were divided into GDM group and normal glucose tolerance(NGT)group according to the test results.The clinical data and laboratory indexes of the two groups in early pregnancy were compared,and the correlation between serum CTRP6 and various indexes in early pregnancy and its relationship with GDM were analyzed.Results A total of 213 maternal cases were enrolled,and 203 cases were completed for follow-up.Among them,52 mothers were diagnosed with GDM,with a GDM prevalence rate of 25.62%.Serum CTRP6,age,pre-pregnancy BMI,baseline BMI,antenatal BMI,TC,LDL,FPG,HbA1c,FINS,and HOMA-IR were higher in GDM group compared to NGT group,with a statistically significant difference(P<0.05).CTRP6 in early pregnancy was positively correlated with age,pre-pregnancy BMI,baseline BMI,prenatal BMI,TG,LDL,FPG,HbA1c,FINS,HOMA-IR,and negatively correlated with HDL(P<0.05).After correcting for age,BMI,glycolipid metabolism index and HOMA-IR,CTRP6 in early pregnancy remained an independent factor in the development of GDM.Conclusion Elevated serum CTRP6 in early pregnancy is associated with GDM and is an independent risk factor for GDM.

Objective To explore the relationship between C1q tumor necrosis factor related protein 13(CTRP13)and gestational diabetes mellitus(GDM),and the predictive value of CTRP13 for adverse pregnancy outcomes in GDM patients.Methods A total of 163 pregnant women who underwent prenatal examination in the Second Affiliated Hospital of Zhengzhou University from January to May 2023 were enrolled in GDM group(n=83)and normal glucose tolerance(NGT)group(n=80)according to the results of oral glucose tolerance test at 24-28 weeks of gestation.Collect general information,biochemical data,and adverse pregnancy outcomes from two groups of subjects.Analyze the correlation between serum CTRP13 and glucose and lipid metabolism indicators in GDM pregnant women.The receiver operating characteristic(ROC)curve was drawn to analyze the predictive value of CTRP13 for adverse pregnancy outcomes in GDM pregnant women.Results The pre pregnancy body mass index,prenatal body mass index,triglycerides,total cholesterol,low density lipoprotein,fasting blood glucose,2-hours plasma glucose,glycosylated hemoglobin,fasting insulin,and homeostasis model assessment of insulin resistanc index in GDM group was significantly higher than those in NGT group,while CTRP13 was significantly lower than that in NGT group(P＜0.05).Serum CTRP13 was negatively correlated with total cholesterol,triglycerides,low density lipoprotein,2-hours plasma glucose,and glycosylated hemoglobin in GDM patients(P＜0.05).The incidence of adverse pregnancy outcomes such as gestational hypertension and premature rupture of membranes in GDM group were significantly higher than those in NGT group(P＜0.05).The area under the curve of serum CTRP13 for predicting adverse pregnancy outcomes in GDM pregnant women was 0.805,with sensitivity and specificity of 75.80％and 76.00％,respectively.Conclusion Serum CTRP13 is associated with glucose and lipid metabolism in GDM pregnant women,and is a potential biomarker for predicting adverse pregnancy outcomes in GDM pregnant women.

Hepatic stellate cell(HSC)activation is a key link in the development of liver fibrosis.The metabolic reprogramming of activated HSC has become a hot topic in current research,especially the change of glycolysis is an important factor in regulating HSC activation.Based on the metabolic reprogramming in the process of HSC activation,this paper expounds the mechanism of regulating HSC activation and liver fibrosis through glycolysis,and reviews the research progress of traditional Chinese medicine and its active ingredients in regulating HSC glycolysis to prevent and treat liver fibrosis.Liver fibrosis is a complex pathological process involving multiple factors and pathways.From the perspective of regulating the glycolysis of activated HSC,it can provide a new idea for the development of anti-liver fibrosis drugs.

Objective To collect data on imported malaria cases in Jiangsu Province from 2019 to 2023 after malaria elimination and to analyze the current epidemic situation and prevention and control measures of imported malaria, discussing future prevention and control strategies. Methods Malaria case information for Jiangsu Province from 2019 to 2023 was extracted and downloaded from the China Information System for Disease Control and Prevention (CISDCP) as well as the Jiangsu Provincial malaria epidemic database. Statistical analysis was conducted using Stata 12.0 and SPSS 16.0 software. Results From 2019 to 2023, a total of 534 cases of malaria were directly reported online in Jiangsu Province, with annual cases numbering 244, 90, 32, 36, and 132 respectively, all being laboratory-confirmed imported malaria cases from abroad. During the COVID-19 pandemic from 2020 to 2022, the number of imported malaria cases significantly decreased, with several months reporting zero cases. Among the 534 malaria cases, the vast majority were individuals who had traveled to countries in sub-Saharan Africa and Southeast Asia for work, business, international studies, or tourism. Over the five years, the median, minimum, and maximum days for patients from onset of illness to health-seeking were 1(0,12), 1(0,8), 0(0,6), 0(0,10), and 1(0,18) days, with a statistically significant difference in health-seeking time among patients (Fisher's exact test, P=0.03). Over the past three years of the COVID-19 pandemic, compared to outside centralized isolation stations, malaria cases within centralized isolation stations were diagnosed in a shorter time (Fisher exact test, P=0.007). A total of 24 severe malaria cases were reported, with no deaths, including 23 cases of P. falciparum and 1 case of P. ovale. Conclusions After the elimination of malaria, imported malaria cases in Jiangsu Province have sharply decreased due to the impact of the COVID-19 pandemic. Malaria cases in centralized isolation stations (CIS) for COVID-19 control of Jiangsu Province are more likely to be promptly diagnosed, and the timeliness from onset to health-seeking among malaria patients returning from high-malaria areas improved. As COVID-19 prevention and control policies adjusted, there has been a sharp increase in imported malaria cases in 2023. It's still necessary to strengthen measures for malaria prevention and control and maintain the capacity to prevent malaria re-transmission in Jiangsu Province.

OBJECTIVE: To carry out genetic analysis for a fetus with confined placental mosaicism (CPM) for trisomy 2 (T2) in conjunct with fetal uniparental disomy (UPD). METHODS: Amniocentesis and chromosomal karyotyping was carried out for a pregnant woman with a high risk for chromosome 2 anomalies indicated by non-invasive prenatal testing (NIPT). Single nucleotide polymorphism array (SNP-array) and trio-whole exome sequencing (Trio-WES) were carried out. Ultrasonography was used to closely monitor the fetal growth. Multifocal sampling of the placenta was performed after delivery for copy number variation sequencing (CNV-seq). RESULTS: The fetus was found to have a normal chromosomal karyotype. SNP-array has revealed multiple regions with loss of heterozygosity (LOH) on chromosome 2. Trio-WES confirmed the presence of maternal UPD for chromosome 2. Ultrasonography has revealed intrauterine growth restriction and oligohydramnios. Intrauterine fetal demise had occurred at 23⁺⁴ weeks of gestation. Pathological examination had failed to find salient visceral abnormality. The placenta was proved to contain complete T2 by CNV-seq. CONCLUSION T2 CPM can cause false positive result for NIPT and may be complicated with fetal UPD, leading to adverse obstetric outcomes such as intrauterine growth restriction, oligohydramnios and intrauterine fetal demise.
Female ; Humans ; Pregnancy ; Amniocentesis ; Chromosomes, Human, Pair 2/genetics* ; DNA Copy Number Variations ; Fetal Death ; Fetal Growth Retardation/genetics* ; Fetus ; Mosaicism ; Oligohydramnios ; Placenta ; Trisomy/genetics* ; Uniparental Disomy/genetics*

Objective:To develop and validate the models based on mixed enhanced computed tomography (CT) radiomics and deep learning features, and evaluate the efficacy for differentiating pancreatic adenosquamous carcinoma (PASC) from pancreatic ductal adenocarcinoma (PDAC) before surgery.Methods:The clinical data of 201 patients with surgically resected and histopathologically confirmed PASC (PASC group) and 332 patients with surgically resected histopathologically confirmed PDAC (PDAC group) who underwent enhanced CT within 1 month before surgery in the First Affiliated Hospital of Naval Medical University from January 2011 to December 2020 were retrospectively collected. The patients were chronologically divided into a training set (treated between January 2011 and January 2018, 156 patients with PASC and 241 patients with PDAC) and a validation set (treated between February 2018 and December 2020, 45 patients with PASC and 91 patients with PDAC) according to the international consensus on the predictive model. The nnU-Net model was used for pancreatic tumor automatic segmentation, the clinical and CT images were evaluated, and radiomics features and deep learning features during portal vein phase were extracted; then the features were dimensionally reduced and screened. Binary logistic analysis was performed to develop the clinical, radiomics and deep learning models in the training set. The models' performances were determined by area under the ROC curve (AUC), sensitivity, specificity, accuracy, and decision curve analysis (DCA).Results:Significant differences were observed in tumor size, ring-enhancement, upstream pancreatic parenchymal atrophy and cystic degeneration of tumor both in PASC and PDAC group in the training and validation set (all P value <0.05). The multivariable logistic regression analysis showed the tumor size, ring-enhancement, dilation of the common bile duct and upstream pancreatic parenchymal atrophy were associated with PASC significantly in the clinical model. The ring-enhancement, dilation of the common bile duct, upstream pancreatic parenchymal atrophy and radiomics score were associated with PASC significantly in the radiomics model. The ring-enhancement, upstream pancreatic parenchymal atrophy and deep learning score were associated with PASC significantly in the deep learning model. The diagnostic efficacy of the deep learning model was highest, and the AUC, sensitivity, specificity, and accuracy of the deep learning model was 0.86 (95% CI 0.82-0.90), 75.00%, 84.23%, and 80.60% and those of clinical and radiomics models were 0.81 (95% CI 0.76-0.85), 62.18%, 85.89%, 76.57% and 0.84 (95% CI 0.80-0.88), 73.08%, 82.16%, 78.59% in the training set. In the validation set, the area AUC, sensitivity, specificity, and accuracy of deep learning model were 0.78 (95% CI 0.67-0.84), 68.89%, 78.02% and 75.00%, those of clinical and radiomics were 0.72 (95% CI 0.63-0.81), 77.78%, 59.34%, 65.44% and 0.75 (95% CI 0.66-0.84), 86.67%, 56.04%, 66.18%. The DCA in the training and validation sets showed that if the threshold probabilities were >0.05 and >0.1, respectively, using the deep learning model to distinguish PASC from PDAC was more beneficial for the patients than the treat-all-patients as having PDAC scheme or the treat-all-patients as having PASC scheme. Conclusions:The deep learning model based on CT automatic image segmentation of pancreatic neoplasm could effectively differentiate PASC from PDAC, and provide a new non-invasive method for confirming PASC before surgery.