Objective To explore the application value of dual-energy computed tomography(DECT)pulmonary perfusion parameters in the evaluation of pulmonary hypertension(PH).Methods A retrospective selection was performed on 214 patients with suspec-ted PH who underwent DECT pulmonary perfusion examination,and the patients were divided into PH group(n=97)and non-PH group(n=117)according to the pulmonary artery systolic pressure measured by echocardiography.Inter-group comparison,univari-ate and multivariate logistic regression,and the receiver operating characteristic(ROC)curve were used to analyze the two-phase DECT pulmonary perfusion parameters and traditional CT anatomical parameters of the two groups of patients,so as to obtain the best parameters and models for predicting PH.Results There were statistically significant differences in DECT pulmonary perfusion parameters and traditional CT anatomical parameters between the PH group and the non-PH group(P<0.05).In DECT pulmonary perfusion parameters,the ratio of main pulmonary artery enhancement to whole lung enhancement in the pulmonary arterial phase(MPAenh1/WLenh1),the difference between the whole lung enhancement in the pulmonary venous phase and the whole lung enhancement in the pulmonary arterial phase(WLenh2-WLenh1),and in traditional CT anatomical parameters,the main pulmonary artery diam-eter(MPAD)and the ratio of right ventricular diameter to left ventricular diameter(RVD/LVD)were independent predictors of PH.The DECT pulmonary perfusion parameters model had similar diagnostic efficacy to the traditional CT anatomical parameters model for PH,and the combined model of the two parameters had the best diagnostic efficacy,with an area under the curve(AUC)of 0.955 and sensitivity and specificity of 0.866 and 0.940,respectively.Conclusion DECT pulmonary perfusion parameters can be used to evaluate PH,and the combination of traditional CT anatomical parameters and DECT pulmonary perfusion parameters can significantly improve the diagnostic efficacy of PH.

Objective This study mainly focuses on the relationship between the serum glycoprotein non-metastatic melanoma protein B(GPNMB)concentration and the degree of neurological damage and prognosis in patients with acute ischemic stroke(AIS),and screens potential biomarkers to provide a reference for clinical diagnosis and treatment.Methods A total of 105 AIS patients hospitalized in the Department of Neurology of the Hospital 2 of Nantong University from June 2023 to March 2024 were selected as the sample group.In this study,the patients were divided into mild group(n=42)and moderate to severe group(n=63)according to the National Institutes of Health Strobe Scale(NIHSS)score within 24 hours of admission.The Modified Rankin Scale(mRS)was used to evaluate the functional recovery 3 months after discharge.The samples were subdivided into good prognosis group(n=34)and poor prognosis group(n=71).The serum GPNMB protein level was detected by ELISA,and the correlation between serum GPNMB protein level and NIHSS and mRS scores was analyzed.The binary Logistic regression model was used to evaluate the predictive value and prognostic evaluation value of serum GPNMB protein level for AIS neurological function damage.Results The serum GPNMB protein concentration in patients with moderate to severe neurological impairment and poor prognosis was significantly lower than that in patients with mild and good prognosis(P<0.05).The serum GPNMB protein level was significantly negatively correlated with the NIHSS score(r=-0.196,P<0.05)and the mRS score(r=-0.334,P<0.05).Multivariate regression analysis showed that GPNMB was still a key independent risk factor for AIS(P<0.05).The evaluation results obtained based on the receiver operating characteristic curve(ROC)showed that the serum GPNMB protein level had diagnostic value in predicting neurological impairment and poor prognosis(sensitivity reached 55.6%,specificity was 81.8%,and the overall accuracy was 63.81%,P<0.05).Conclusion There is a significant positive correlation between the decrease in serum GPNMB protein concentration and the degree of neurological damage in AIS patients,and it is likely to become an important biological indicator for measuring the severity of the disease and long-term prognosis.

Objective This study mainly focuses on the relationship between the serum glycoprotein non-metastatic melanoma protein B(GPNMB)concentration and the degree of neurological damage and prognosis in patients with acute ischemic stroke(AIS),and screens potential biomarkers to provide a reference for clinical diagnosis and treatment.Methods A total of 105 AIS patients hospitalized in the Department of Neurology of the Hospital 2 of Nantong University from June 2023 to March 2024 were selected as the sample group.In this study,the patients were divided into mild group(n=42)and moderate to severe group(n=63)according to the National Institutes of Health Strobe Scale(NIHSS)score within 24 hours of admission.The Modified Rankin Scale(mRS)was used to evaluate the functional recovery 3 months after discharge.The samples were subdivided into good prognosis group(n=34)and poor prognosis group(n=71).The serum GPNMB protein level was detected by ELISA,and the correlation between serum GPNMB protein level and NIHSS and mRS scores was analyzed.The binary Logistic regression model was used to evaluate the predictive value and prognostic evaluation value of serum GPNMB protein level for AIS neurological function damage.Results The serum GPNMB protein concentration in patients with moderate to severe neurological impairment and poor prognosis was significantly lower than that in patients with mild and good prognosis(P<0.05).The serum GPNMB protein level was significantly negatively correlated with the NIHSS score(r=-0.196,P<0.05)and the mRS score(r=-0.334,P<0.05).Multivariate regression analysis showed that GPNMB was still a key independent risk factor for AIS(P<0.05).The evaluation results obtained based on the receiver operating characteristic curve(ROC)showed that the serum GPNMB protein level had diagnostic value in predicting neurological impairment and poor prognosis(sensitivity reached 55.6%,specificity was 81.8%,and the overall accuracy was 63.81%,P<0.05).Conclusion There is a significant positive correlation between the decrease in serum GPNMB protein concentration and the degree of neurological damage in AIS patients,and it is likely to become an important biological indicator for measuring the severity of the disease and long-term prognosis.

Objective To explore the application value of dual-energy computed tomography(DECT)pulmonary perfusion parameters in the evaluation of pulmonary hypertension(PH).Methods A retrospective selection was performed on 214 patients with suspec-ted PH who underwent DECT pulmonary perfusion examination,and the patients were divided into PH group(n=97)and non-PH group(n=117)according to the pulmonary artery systolic pressure measured by echocardiography.Inter-group comparison,univari-ate and multivariate logistic regression,and the receiver operating characteristic(ROC)curve were used to analyze the two-phase DECT pulmonary perfusion parameters and traditional CT anatomical parameters of the two groups of patients,so as to obtain the best parameters and models for predicting PH.Results There were statistically significant differences in DECT pulmonary perfusion parameters and traditional CT anatomical parameters between the PH group and the non-PH group(P<0.05).In DECT pulmonary perfusion parameters,the ratio of main pulmonary artery enhancement to whole lung enhancement in the pulmonary arterial phase(MPAenh1/WLenh1),the difference between the whole lung enhancement in the pulmonary venous phase and the whole lung enhancement in the pulmonary arterial phase(WLenh2-WLenh1),and in traditional CT anatomical parameters,the main pulmonary artery diam-eter(MPAD)and the ratio of right ventricular diameter to left ventricular diameter(RVD/LVD)were independent predictors of PH.The DECT pulmonary perfusion parameters model had similar diagnostic efficacy to the traditional CT anatomical parameters model for PH,and the combined model of the two parameters had the best diagnostic efficacy,with an area under the curve(AUC)of 0.955 and sensitivity and specificity of 0.866 and 0.940,respectively.Conclusion DECT pulmonary perfusion parameters can be used to evaluate PH,and the combination of traditional CT anatomical parameters and DECT pulmonary perfusion parameters can significantly improve the diagnostic efficacy of PH.

Objective To explore the value of fractional order calculus(FROC)model diffusion weighted imaging(DWI)for evaluating pathological classification and differentiation degree of cervical cancer(CCA).Methods Totally 74 CCA patients were enrolled and divided into squamous cell carcinoma(SCC)group(n=54)and adenocarcinoma(ACA)group(n=20)based on pathological classification,also low differentiation group(n=33)and medium-high differentiation group(n=41)based on differentiation degree.Conventional MR examination and DWI with 12 b-values were performed,FROC model parameters(D,β,and p value)and the apparent diffusion coefficient(ADC)of mono-exponential model were obtained via software analysis.The parameters were compared between groups,and receiver operating characteristic curve of those being significantly different between groups were drawn,the area under the curves(AUC)were calculated to evaluate the diagnostic efficacy.Results Significant differences of ADC,D,and β values were found between SCC group and ACA group(all P＜0.05),and D value had the highest AUC(0.726)for distinguishing pathological classification CCA.Meanwhile,significant differences of D,β,p values and ADC were observed between low differentiation group and medium-high differentiation group(all P＜0.05),D value also had the highest AUC(0.865).AUC of the combined model constructed based on significant variables β and p values in logistic regression was 0.926,higher than that of each parameter alone(all P＜0.05).Conclusion FROC model DWI could be used to evaluate pathological classification and differentiation degree of CCA.

This study aimed to explore the association of maternal depression with nutrient intake, growth, and development of preterm infants. A cohort study of 201 infants was conducted in Beijing. Based on the gestational age of an infant and status of the mother, the infants were divided into four groups: non-depression-fullterm (64), non-depression-preterm (70), depression-fullterm (36), and depression-preterm (31). Data on sociodemographic characteristics, nutritional intake, growth, and developmental status of children at 8 months (corrected ages) were collected using a quantitative questionnaire, a 24-Hour Dietary Recall, anthropometric measurements, and the Bayley-III scale. A multivariate analysis was used to evaluate the effects of maternal depression and preterm birth on infant growth and development. The energy, protein, and carbohydrate intake in the depression group was lower than the recommended amounts. The depression preterm groups indicated the lowest Z-scores for length and weight and the lowest Bayley-III scores. Preterm infants of depressed mothers are at high risks of poor growth and development delay.
Adult ; Anthropometry ; Beijing ; Child Development ; Cohort Studies ; Depressive Disorder ; psychology ; Feeding Behavior ; Female ; Gestational Age ; Humans ; Infant ; Infant Nutritional Physiological Phenomena ; Infant, Newborn ; Infant, Premature ; Male ; Mother-Child Relations ; Mothers ; psychology ; Multivariate Analysis ; Nutrition Assessment ; Postpartum Period

Executive function (EF) is increasingly recognized as being responsible for adverse developmental outcomes in preterm-born infants. Several perinatal factors may lead to poor EF development in infancy, and the deficits in EF can be identified in infants as young as eight months. A prospective cohort study was designed to study the EF in Chinese preterm infants and examine the relationship between EF in preterm infants and maternal factors during perinatal period. A total of 88 preterm infants and 88 full-term infants were followed from birth to eight months (corrected age). Cup Task and Planning Test was applied to assess the EF of infants, and the Bayley Scale of Infant Development (BSID-III) was used to evaluate cognitive (MDI) and motor abilities (PDI) of infants. In comparison with full-term infants, the preterm infants performed more poorly on all measures of EF including working memory, inhibition to prepotent responses, inhibition to distraction, and planning, and the differences remained after controlling the MDI and PDI. Anemia and selenium deficiency in mothers during pregnancy contributed to the differences in EF performance. However, maternal depression, hypertension, and diabetes during pregnancy were not related to the EF deficits in preterm infants. Future research should focus on the prevention of anemia and selenium deficiency during pregnancy and whether supplementing selenium in mothers during pregnancy can prevent further deterioration and the development of adverse outcomes of their offspring.
Adult ; Anemia ; physiopathology ; Child Development ; China ; Executive Function ; Female ; Humans ; Infant ; Infant, Premature ; physiology ; Linear Models ; Male ; Memory, Short-Term ; Mother-Child Relations ; Pregnancy ; Pregnancy Complications, Hematologic ; physiopathology ; Prospective Studies ; Term Birth ; physiology