Objective To observe the value of T1WI deep learning models for evaluating brain injury of neonatal hyperbilirubinemia(NHB).Methods Totally 106 NHB(defined as newborns with neonatal behavioral neurological assessment≤37,NHB group)and 119 non-NHB newborns(control group)in center A,as well as 34 NHB and 18 non-NHB newborns in center B were collected.ROI was delineated based on bilateral globus pallidus on T1WI.A total of 690 slices were obtained by preprocessing data of center A and then were divided into training set(n=552)and test set(n=138)at a ratio of 8∶2.ResNet18,DenseNet121 and EfficientNetB0 models was established,respectively.External validation was performed based on data of center B.Receiver operating characteristic curves were drawn,area under the curves(AUC)were calculated to evaluate the performance of models for assessing NHB brain injuries compared with traditional visual analysis.Results The AUC of ResNet18 model for evaluating NHB brain injury was 0.910-0.990,significantly higher than that of DenseNet121 model(0.710-0.820)and EfficientNetB0 model(0.640-0.740)(all P＜0.001).The accuracy,sensitivity and precision of ResNet18 model for evaluating NHB brain injury were all higher than those of visual analysis(all P＜0.05),while no significant difference of specificity was found between the above two(P＞0.05).Conclusion T1WI ResNet18 model showed excellent performance and generalization ability for evaluating NHB brain injury.

Objective To observe the value of T1WI deep learning models for evaluating brain injury of neonatal hyperbilirubinemia(NHB).Methods Totally 106 NHB(defined as newborns with neonatal behavioral neurological assessment≤37,NHB group)and 119 non-NHB newborns(control group)in center A,as well as 34 NHB and 18 non-NHB newborns in center B were collected.ROI was delineated based on bilateral globus pallidus on T1WI.A total of 690 slices were obtained by preprocessing data of center A and then were divided into training set(n=552)and test set(n=138)at a ratio of 8∶2.ResNet18,DenseNet121 and EfficientNetB0 models was established,respectively.External validation was performed based on data of center B.Receiver operating characteristic curves were drawn,area under the curves(AUC)were calculated to evaluate the performance of models for assessing NHB brain injuries compared with traditional visual analysis.Results The AUC of ResNet18 model for evaluating NHB brain injury was 0.910-0.990,significantly higher than that of DenseNet121 model(0.710-0.820)and EfficientNetB0 model(0.640-0.740)(all P＜0.001).The accuracy,sensitivity and precision of ResNet18 model for evaluating NHB brain injury were all higher than those of visual analysis(all P＜0.05),while no significant difference of specificity was found between the above two(P＞0.05).Conclusion T1WI ResNet18 model showed excellent performance and generalization ability for evaluating NHB brain injury.

OBJECTIVE: To investigate chronic hepatitis C virus (HCV) infection's effect on gestational liver function, pregnancy and delivery complications, and neonatal development. METHODS: A total of 157 HCV antibody-positive (anti-HCV[+]) and HCV RNA(+) patients (Group C) and 121 anti-HCV(+) and HCV RNA(-) patients (Group B) were included as study participants, while 142 anti-HCV(-) and HCV RNA(-) patients (Group A) were the control group. Data on biochemical indices during pregnancy, pregnancy complications, delivery-related information, and neonatal complications were also collected. RESULTS: Elevated alanine aminotransferase (ALT) rates in Group C during early, middle, and late pregnancy were 59.87%, 43.95%, and 42.04%, respectively-significantly higher than Groups B (26.45%, 15.70%, 10.74%) and A (23.94%, 19.01%, 6.34%) ( P < 0.05). Median ALT levels in Group C were significantly higher than in Groups A and B at all pregnancy stages ( P < 0.05). No significant differences were found in neonatal malformation rates across groups ( P > 0.05). However, neonatal jaundice incidence was significantly greater in Group C (75.16%) compared to Groups A (42.25%) and B (57.02%) ( χ ² = 33.552, P < 0.001). HCV RNA positivity during pregnancy was an independent risk factor for neonatal jaundice ( OR = 2.111, 95% CI 1.242-3.588, P = 0.006). CONCLUSIONS Chronic HCV infection can affect the liver function of pregnant women, but does not increase the pregnancy or delivery complication risks. HCV RNA(+) is an independent risk factor for neonatal jaundice.
Humans ; Female ; Pregnancy ; Adult ; Pregnancy Complications, Infectious/epidemiology* ; Retrospective Studies ; Pregnancy Outcome ; Infant, Newborn ; Viremia/virology* ; Hepatitis C ; Hepacivirus/physiology* ; Hepatitis C, Chronic/virology* ; Young Adult ; Alanine Transaminase/blood*

Objective To explore the effect of management model of clinical pharmacists participating in multidisciplinary collaborative diagnosis and treatment(MDT)for new anti-tumor drugs in the national medical insurance drug negotiation(hereinafter referred to as"national negotiation"),including efficacy,safe-ty,economy and rationality.Methods The medical records of 326 cases using novel anti-tumor drugs by na-tional negotiation and conforming to the including and excluding standards in this hospital from July 2018 to June 2023 were retrospectively analyzed.The patients were divided into the MDT group(n=122)and non-MDT group(n=204).The patients diagnosed as non-small cell lung cancer(NSCLC)in the two groups were extracted and defined as the MDT-NSCLC subgroup(n=41)and non-MDT-NSCLC subgroup(n=77).The progression-free survival(PFS),overall survival(OS),disease control rate(DCR)and the indexes such as survival quality and medical quality control were compared between the groups.Results The median PFS in the two groups was 12.7 months and 8.0 months,the median OS was 75.2 months and 56.3 months,DCR was 96.72％and 81.86％respectively,and the differences were statistically significant(P＜0.05).The COX multivariate regression analysis indicated that the HR value of clinical pharmacists participating in MDT was higher than the other influencing factors.The median PFS time in the MDT-NSCLC subgroup and non-MDT-NSCLC subgroup was 10.5 months and 6.7 months,DCR was 97.30％and 75.64％respectively,and the differences were statistically significant(P＜0.05),the median OS time was 55.1 months and 40.3 months respectively,and the difference was statistically significant(P＞0.05).The COX multivariate regression anal-ysis indicated that the HR value with clinical pharmacists participating in MDT was higher than the other in-fluencing factors;The adverse reaction occurrence rate in the MDT group and non-MDT group was 45.9％and 58.3％respectively,and the difference was statistically significant(P＜0.05).The KPS score after treatment in the MDT group was higher than that in the non-MDT group,and the difference was statistically significant;in the aspect of medical quality control,the average drug proportion in the MDT group and non-MDT group was 63.93％and 64.54％respectively,the rational drug rate of comments on prescription was 98.36％and 88.73％respectively,the patient satisfaction average value was 90.69 points and 87.36 points respectively and the differences were statistically significant(P＜0.05).Conclusion Clinical pharmacists participating in MDT related to novel anti-tumor drugs by national negotiation is beneficial to improve the therapeutic effects,living quality and patient satisfaction,also benefit to management and control of off-label drug use and medical quality control indexes.

Objective:To establish a rapid quantitative model for the determination of moisture,extractives,and content in Pollen Typhae.Methods:Near-infrared spectra of 91 batches of Pollen Typhae samples were collected.Spectral preprocessing was performed using S-G,MSC,SNV,and CWT methods.Variable selection was conducted using CARS,SPA,and VIP methods,and compared with full-spectrum modeling.Partial least squares(PLS)mod-els were established for the quantitative determination of moisture,total ash,extractives,and content.The model performance was evaluated by calculating the coefficient of determination for the calibration set and validation set(R2 c,R2v),root mean square error of calibration and validation(RMSEc,RMSEv),and residual prediction devia-tion(RPD).Results:The PLS models for moisture,extractives,and content in Pollen Typhae showed R2c and R2v values greater than 0.9,RMSEc and RMSEv values approaching 0,and RPD values greater than 3.Conclusion:In this study,near-infrared spectroscopy was used to construct quantitative prediction models for moisture,extractives,typhaneoside,and isorhamnetin-3-O-neohesperidoside content in Pollen Typhae.This method enables rapid detection of the main quality control indicators of Pollen Typhae,providing strong technical support for its quality supervision.

Objective:To establish a rapid quantitative model for the determination of moisture,extractives,and content in Pollen Typhae.Methods:Near-infrared spectra of 91 batches of Pollen Typhae samples were collected.Spectral preprocessing was performed using S-G,MSC,SNV,and CWT methods.Variable selection was conducted using CARS,SPA,and VIP methods,and compared with full-spectrum modeling.Partial least squares(PLS)mod-els were established for the quantitative determination of moisture,total ash,extractives,and content.The model performance was evaluated by calculating the coefficient of determination for the calibration set and validation set(R2 c,R2v),root mean square error of calibration and validation(RMSEc,RMSEv),and residual prediction devia-tion(RPD).Results:The PLS models for moisture,extractives,and content in Pollen Typhae showed R2c and R2v values greater than 0.9,RMSEc and RMSEv values approaching 0,and RPD values greater than 3.Conclusion:In this study,near-infrared spectroscopy was used to construct quantitative prediction models for moisture,extractives,typhaneoside,and isorhamnetin-3-O-neohesperidoside content in Pollen Typhae.This method enables rapid detection of the main quality control indicators of Pollen Typhae,providing strong technical support for its quality supervision.

Objective To explore the characteristics of blood lipid metabolism indicators and risk factors of prognosis in children with systemic lupus erythematosus (SLE). Methods A total of 54 children who were diagnosed with SLE and hospitalized in Chengdu Women and Children’ s Central Hospital from January 2013 to August 2022 were selected. Clinical data of all children were collected and blood lipid metabolism indicators and biochemical indicators were detected , and binary logistic regression was used to analyze the prognosis risk factors in children with SLE. Results Among the 47 cases (87.04%) had abnormal blood lipid metabolism at admission, and is mainly manifested as elevated levels of LDL-C, TG and TC and decreased level of HDL-C. The proportion of cardiovascular system damage, hematological system damage, urinary protein positivity, and SLEDAI-2000 score in the group with good prognosis were lower than those in the group with poor prognosis, while the proportion of dsDNA positivity was higher in the group with poor prognosis. Binary Logistic regression analysis showed that the cardiovascular system damage and positive urinary protein were risk factors for poor prognosis, with statistically significant differences (P<0.05). Conclusion Abnormal blood lipid metabolism is common in children with SLE, and cardiovascular system damage and positive urinary protein may increase the risk of poor prognosis in young children.

Objective To investigate the clinical characteristics and prognosis of acute myeloid leukemia(AML)patients with PTPN11 gene mutation.Methods Total 115 adult AML patients who underwent initial diagnosis,treatment,and second-generation sequencing(NGS)detecting at hospital were recruited in this study.Clinical da-ta included disease characteristics,treatment efficacy,long-term prognosis,immune cell subpopulations,and leu-kemia stem cells were collected to analyze the clinical characteristics and prognosis of AML patients with PTPN11 gene mutation.Results PTPN11 gene mutation rate in newly diagnosed adult AML was 9.57％,and the mutation site mainly occurred in exon 3 region with all mutation type being point mutation.Compared with PTPN11 wild-type group,PTPN11 gene mutation group had a higher early mortality rate(18.18％vs 4.00％,P=0.048),a lower complete response rate(33.33％vs 67.71％,P=0.039),a higher recurrence rate(83.33％vs 42.31％,P=0.043),a shorter median overall survival time(9 months vs 20 months,P=0.026),a lower proportion of ef-fector T cells[(1.39±0.12)％vs(3.56±0.46)％,P=0.038],and a higher proportion of leukemia stem cells[(13.82±3.66)％vs(3.87±1.40)％,P=0.021].Conclusion PTPN11 gene mutation is a poor prognostic marker for AML.Those patients have a high early mortality rate,low complete remission rate,high recurrence rate,short median overall survival time,a low proportion of effector T cells,and a high proportion of leukemia stem cells.

Objective To explore the diagnostic efficacy of serum 14-3-3β protein combined with fractional exhaled nitric oxide(FeNO)and conventional ventilatory lung function parameters in diagnosing bronchial asthma(referred to as"asthma")in children.Methods A prospective study included 136 children initially diagnosed with asthma during an acute episode as the asthma group,and 85 healthy children undergoing routine health checks as the control group.The study compared the differences in serum 14-3-3β protein concentrations between the two groups,analyzed the correlation of serum 14-3-3β protein with clinical indices,and evaluated the diagnostic efficacy of combining 14-3-3β protein,FeNO,and conventional ventilatory lung function parameters for asthma in children.Results The concentration of serum 14-3-3β protein was higher in the asthma group than in the control group(P<0.001).Serum 14-3-3β protein showed a positive correlation with the percentage of neutrophils and total serum immunoglobulin E,and a negative correlation with conventional ventilatory lung function parameters(P<0.05).Cross-validation of combined indices showed that the combination of 14-3-3β protein,FeNO,and the percentage of predicted value of forced expiratory flow at 75%of lung volume had an area under the curve of 0.948 for predicting asthma,with a sensitivity and specificity of 88.9%and 93.7%,respectively,demonstrating good diagnostic efficacy(P<0.001).The model had the best extrapolation.Conclusions The combination of serum 14-3-3β protein,FeNO,and the percentage of predicted value of forced expiratory flow at 75%of lung volume can significantly improve the diagnostic efficacy for asthma in children.

Objective To understand the disease acceptance status and related factors in human immunodeficiency virus(HIV)-infected/acquired immunodeficiency syndrom(AIDS)patients,so as to guide the clinical development of intervention measures,and to provide empirical evidence for improving clinical outcomes.Methods Convenience sampling method was used to select 555 HIV-infected/AIDS patients who received treatment in the designated AIDS treatment clinic of a hospital.General data,disease acceptance,disease self-management efficacy and clinical out-comes(such as quality of life,CD4+T lymphocyte count and HIV viral load)of the studied subjects were collected.Results The average disease acceptance of HIV-infected/AIDS patients was(26.08±5.34)points.Multiple linear regression analysis showed that religious belief and self-management efficacy were related factors affecting the di-sease acceptance of patients(both P＜0.05),which could explain the 30.4％variation in disease acceptance of HIV-infected/AIDS patients,and the disease acceptance of patients was closely related to their quality of life(P＜0.001).Conclusion HIV-infected/AIDS patients have a moderate level of disease acceptance.Medical staff should fully consider patients'religious beliefs and self-management efficacy,so as to formulate targeted intervention mea-sures to improve patients'acceptance of disease,and further promote patients'quality of life.