Objective:To investigate the current status of maternal body image during pregnancy, mother-infant attachment and postpartum depression and explore the mediating effect of mother-infant attachment on maternal body image during pregnancy and postpartum depression, in order to effectively reduce the incidence of postpartum depression and provide reference and guidance for alleviating depressive symptoms.Methods:A total of 362 pregnant women admitted to obstetric wards in Women′s Hospital of Nanjing Medical University were selected for a cross-sectional investigation by applying the Edinburgh Postnatal Depression Scale, the Body Image in Pregnancy Scale and the Maternal Postnatal Attachment Scale by convenient sampling from July to September 2022. Model 4 in the SPSS macro program PROCESS was used to test the mediating effect of maternal infant attachment between body image and postpartum depression.Results:Totally 362 valid questionnaires were retrieved including 194 individuals aged ≤30 years old and 168 individuals aged >30 years old. The scores of maternal body image during pregnancy, mother-infant attachment and postpartum depression were (89.24 ± 15.56), (71.40 ± 8.05), 7.50 (4.00, 11.00) points.Conclusions:Body image during pregnancy can not only directly predict postpartum depression, but also indirectly predict postpartum depression through the mediating effect of mother-infant attachment. In order to prevent or reduce the occurrence of postpartum depression, nursing staff should carry out intervention research based on influencing the path of postpartum depression from the perspective of positive psychology.

Background: Twenty-four-hour urinary free cortisol (UFC) measurement is the initial diagnostic test for Cushing’s syndrome (CS). We compared UFC determination by both direct and extraction immunoassays using Abbott Architect, Siemens Atellica Solution, and Beckman DxI800 with liquid chromatography-tandem mass spectrometry (LC-MS/MS). In addition, we evaluated the value of 24-hr UFC measured by six methods for diagnosing CS. Methods: Residual 24-hr urine samples of 94 CS and 246 non-CS patients were collected.A laboratory-developed LC-MS/MS method was used as reference. UFC was measured by direct assays (D) using Abbott, Siemens, and Beckman platforms and by extraction assays (E) using Siemens and Beckman platforms. Method was compared using Passing–Bablok regression and Bland–Altman plot analyses. Cut-off values for the six assays and corresponding sensitivities and specificities were calculated by ROC analysis. Results: Abbott-D, Beckman-E, Siemens-E, and Siemens-D showed strong correlations with LC-MS/MS (Spearman coefficient r = 0.965, 0.922, 0.922, and 0.897, respectively), while Beckman-D showed weaker correlation (r = 0.755). All immunoassays showed proportionally positive bias. The areas under the curve were 0.975 for Abbott-D, 0.972 for LCMS/MS, 0.966 for Siemens-E, 0.948 for Siemens-D, 0.955 for Beckman-E, and 0.877 for Beckman-D. The cut-off values varied significantly (154.8–1,321.5 nmol/24 hrs). Assay sensitivity and specificity ranged from 76.1% to 93.2% and from 93.0% to 97.1%, respectively. Conclusions Commercially available immunoassays for measuring UFC show different levels of analytical consistency compared to LC-MS/MS. Abbott-D, Siemens-E, and Beckman-E have high diagnostic accuracy for CS.

OBJECTIVE To study the difference of Huangqin decoction combined with Paeoniae Radix Alba(BS) and Paeoniae Radix Rubra(CS)'s effect on ulcerative colitis(UC) based on network pharmacological analysis and animal experiment. METHODS The active constituents of BS and CS were retrieved from TCMSP database and literature, and the potential target was predicted by Swiss Target Prediction. Ulcerative Colitis was used as key words to search disease targets in DisGenet, OMIM, and Genecard databases. The intersection target was obtained by Venny 2.1.0. Cytoscape 3.7.2 software was used to construct network of drug-consumption targets. The STRING platform was used for protein-protein interaction(PPI) network analysis, and Metascape database was applied for GO/WIKI analysis. A dextran sulfate sodium(DSS) induced UC mouse model was established to compare the anti-UC effects of Huangqing decoction combined with BS(HQT-BS) and CS(HQT-CS), respectively. RESULTS There were 7 active components of HQT-BS and 11 active components of HQT-CS in the treatment of ulcerative colitis, respectively, 5 of which were the same. There were 146 and 157 targets respectively, 106 of which were the same. The core targets of HQT-BS were SRC, HSP90AA1, and PIK3R1, while the core targets of HQT-CS were SRC, HSP90AA1, and STAT3. WIKI enrichment analysis showed that several signaling pathways were shared by both BS and CS, such as EGFR tyrosine kinase inhibitor resistance, Notch signaling pathway. EGF/EGFR signaling pathway was the specific pathway related to BS, while Nuclear receptors meta-pathway and Kit receptor signaling pathway were the specific pathways related to CS, respectively. Animal experiments showed that both HQT-BS and HQT-CS could significantly improve colon shortening and tissue pathological alternation induced by DSS. However, HQT-CS was more effective in reducing the expression of interleukin-6 and neurogenic locus notch homolog protein1. CONCLUSION Both HQT-BS and HQT-CS have anti-UC effect, and HQT-CS is the better one.

With the deepening of the reform of the medical and health system and the continuous optimization of the medical order,it is especially important to organize the development of admission and discharge standards and improve the service of preparing patients for discharge.In recent years,the research and application of machine learning technology in the medical field has been intensifying,and it has unique advantages in processing data and risk prediction research.Therefore,this paper reviews the development process,types of machine leaming,the content and effects of its application in patient discharge preparation services,and the current problems,in order to provide references for healthcare professionals to implement the best clinical decisions and further improve the patient discharge preparation service model.

Parkinson's disease and sarcopenia are both age-related diseases that seriously affect the quality of life of the elderly.Studies have suggested that Parkinson's disease is related to sarcopenia.Exploring the correlation between them can provide evidence for early identification and prevention of Parkinson's disease patients with sarcopenia.This review summarized the correlation between Parkinson's disease and sarcopenia and possible shared pathways of pathogenesis.

ObjectiveTo determine the syndrome of a rat model of follicular dysplasia induced by Tripterygium glycosides based on prescriptions and investigate the mechanism of traditional Chinese medicine intervention via the adenosine monophosphate-activated protein kinase （AMPK）/mammalian target of rapamycin （mTOR）/hypoxia-inducible factor-1 （HIF-1）/vascular endothelial growth factor （VEGF） pathway. MethodForty-eight rats with regular estrous cycles were randomly assigned into a normal group （n=8） and a modeling group （n=40）. The rats in the modeling group were administrated with Tripterygium glycoside suspension （75 mL·kg^-1） by gavage for 30 days. The modeled rats were assigned into model， Siwutang （3.69 g·kg^-1）， Youguiyin （3.11 g·kg^-1）， Zuoguiyin （7.29 g·kg^-1）， and Guishenwan （10.35 g·kg^-1） groups， with 8 rats in each group. The drug intervention lasted for 14 days. The changes of estrous cycle were detected by Pap staining， and a stereoscope was used to observe the morphology of the ovarian tissue. Hematoxylin-eosin staining was employed to observe the pathological changes and follicle count in the ovarian tissue. Enzyme-related immunosorbent assay （ELISA） was used to measure the levels of follicle-stimulating hormone （FSH）， luteinizing hormone （LH）， and estradiol （E₂） in the serum. Real-time fluorescence quantitative polymerase chain reaction and Western blot were employed to determine the mRNA and protein levels， respectively， of AMPK， mTOR， HIF-1， and VEGF in the ovarian tissue. ResultCompared with the normal group， the model group had a disordered estrous cycle， reduced secondary and mature follicles， increased atretic follicles， elevated FSH and LH levels， lowered E₂ level， up-regulated mRNA and protein levels of AMPK， and down-regulated mRNA and protein levels of mTOR， HIF-1， and VEGF （P<0.01）. Compared with the model group， Guishenwan increased secondary and mature follicles， decreased atretic follicles， lowered the FSH and LH levels， elevated the E₂ level， down-regulated the mRNA and protein levels of AMPK， and up-regulated the mRNA and protein levels of mTOR， HIF-1， and VEGF （P<0.01）. Compared with Guishenwan group， Siwutang， Youguiyin， and Zuoguiyin decreased mature follicles， increased atretic follicles （P<0.01）， elevated the LH （P<0.01） and FSH （P<0.05） levels， and lowered the E₂ level （P<0.05）. In addition， Youguiyin up-regulated the protein level of AMPK （P<0.05） and down-regulated the mRNA levels of mTOR and HIF-1 （P<0.01） as well as the mRNA and protein levels of VEGF （P<0.01）. Siwutang down-regulated the mRNA levels of mTOR and HIF-1 as well as the mRNA and protein levels of VEGF （P<0.05）. Zuoguiyin down-regulated the mRNA level of mTOR and the protein and mRNA levels of VEGF （P<0.05）. ConclusionGuishenwan may improve the ovarian function and promote follicle maturation in a rat model of follicular dysplasia by inhibiting the AMPK/mTOR/HIF-1/VEGF pathway， with the therapeutic effect superior to Zuoguiyin， Youguiyin， and Siwutang. It was hypothesized that this model presented the syndrome of kidney-essence deficiency.

ObjectiveTo explore the recognition of oral breath odor map of chronic atrophic gastritis （CAG） patients with dampness-heat syndrome by electronic nose technique. MethodsPatients with chronic gastritis were recruited， including 60 cases in CAG group of dampness-heat syndrome， 50 cases in CAG group of non-dampness-heat syndrome， 60 cases in chronic non-atrophic gastritis （CNAG） group of dampness-heat syndrome， 50 cases in CNAG group of non-dampness-heat syndrome， and 30 cases of healthy volunteers were selected to set up the health control group. Ten cases in the CAG dampness-heat group and 50 cases in the CAG non-dampness-heat group were selected to form the CAG group， and 10 cases in CNAG dampness-heat group and 50 cases in CNAG non-dampness-heat group were selected to form the CNAG group. In addition to the health control group， the remaining patients were tested for Helicobacter pylori （Hp）； the electronic nose （GISXM-MQWA01） was used to collect the oral breath odor of all the participants to draw the mapping， and amplitudes and slopes of each curve （including curves A， B， C， D， E， F， G， H， I， J） of the oral odor mapping of health control group， CAG group， CNAG group， CAG dampness-heat group， CAG non-dampness-heat group， and CNAG dampness-heat group was compared. The modified transformer model was used to classify the odor mapping characteristics， and the confusion matrix method was used to evaluate the classification model， with metrics including accuracy and area under ROC curve （AUC）. ResultsThe Hp positivity rate in CAG dampness-heat group was 80.00% （48/60）， CAG non-dampness-heat group was 62.00% （31/50）， CNAG dampness-heat group was 46.67% （28/60）， and CNAG non-dampness-heat group was 42.00% （21/50）； the difference in Hp positivity rate between CAG dampness-heat group and CAG non-dampness-heat group was statistically significant （P＜0.05）. The amplitudes of response curves A， B， C， D， F， G， and I， and slopes of A and F in the odor mapping of the CAG group were lower than those in health control group， while the amplitude and slope of curve E were higher than those in the health control group and CNAG group （P＜0.05 or P＜0.01）； The amplitude of the response curves A， B， C， D， F， G， and I， and slopes of A， D， and F in the CNAG group were lower than those in the health control group （P＜0.05 or P＜0.01）. The amplitude of response curve D and slope of response curve J in the odor mapping of the CAG dampness-heat group were higher than those in CNAG dampness-heat group， the amplitude of curve F was lower than that in CAG non-dampness-heat group， and the amplitude of curve H and slopes of curve A， H， and J were higher than those in CAG non-dampness-heat group （P＜0.05）. The recognition accuracy of CAG group and health control group reached 77.78%， AUC = 0.88； the recognition accuracy of CAG group and CNAG group was 69.44%， AUC = 0.61； the recognition accuracy of CAG dampness-heat group and CAG non-dampness-heat group reached 75.8%， AUC=0.70. ConclusionElectronic nose technology can make a more accurate identification of the oral breath odor in CAG patients with dampness-heat syndrome， with a decrease in the amplitude of the curve F and an increase in the amplitude of the curve H and in the slopes of the curves A， H， and J may as the characteristics of their odor mapping.

Objective To systematically evaluate the prognostic prediction model for chronic heart failure patients in China, and provide reference for the construction, application, and promotion of related prognostic prediction models. Methods A comprehensive search was conducted on the studies related to prognostic prediction model for Chinese patients with chronic heart failure published in The Cochrane Library, PubMed, EMbase, Web of Science, CNKI, VIP, Wanfang, and the China Biological Medicine databases from inception to March 31, 2023. Two researchers strictly followed the inclusion and exclusion criteria to independently screen literature and extract data, and used the prediction model risk of bias assessment tool (PROBAST) to evaluate the quality of the models. Results A total of 25 studies were enrolled, including 123 prognostic prediction models for chronic heart failure patients. The area under the receiver operating characteristic curve (AUC) of the models ranged from 0.690 to 0.959. Twenty-two studies mostly used random splitting and Bootstrap for internal model validation, with an AUC range of 0.620-0.932. Seven studies conducted external validation of the model, with an AUC range of 0.720-0.874. The overall bias risk of all models was high, and the overall applicability was low. The main predictive factors included in the models were the N-terminal pro-brain natriuretic peptide, age, left ventricular ejection fraction, New York Heart Association heart function grading, and body mass index. Conclusion The quality of modeling methodology for predicting the prognosis of chronic heart failure patients in China is poor, and the predictive performance of different models varies greatly. For developed models, external validation and clinical application research should be vigorously carried out. For model development research, it is necessary to comprehensively consider various predictive factors related to disease prognosis before modeling. During modeling, large sample and prospective studies should be conducted strictly in accordance with the PROBAST standard, and the research results should be comprehensively reported using multivariate prediction model reporting guidelines to develop high-quality predictive models with strong scalability.

Objective:To investigate the clinical phenotype and genotype characteristics of lipoyltransferase 1 deficiency (LIPT1D).Methods:A retrospective analysis of the clinical data was conducted for one case of LIPT1D, admitted to the Department of Neonatology at Shanghai Children's Hospital on May 7, 2023. Key terms "lipoyltransferase 1 deficiency", " LIPT1", and "lipoic acid" were used to search national databases including CNKI, Wanfang Data, VIP, and Yiigle; and international databases PubMed, Embase, and Web of Science until September 15, 2023, to summarize the clinical presentations, biochemical phenotypes, and genotypic characteristics of LIPT1D. Descriptive statistical analysis was employed. Results:(1) The case concerned: At 1.5 h after birth, the infant exhibited cyanosis and poor responsiveness, presenting with uncorrectable metabolic acidosis (blood pH value 6.9, base excess -27 mmol/L, bicarbonate 5.7 mmol/L), and hyperlactatemia (the highest was 24 mmol/L). The condition progressed rapidly, and the infant died 9 h after birth. Whole exome sequencing performed 6 h postnatally identified compound heterozygous variants in the LIPT1 gene (NM_001204830.1) in the infant. Variants c.986C>A (p.Ser329*) from the mother and c.405_406del (p.Arg135Serfs*18) from the father were detected, both suspected to be pathogenic. (2) Literature review: A review of the literature identified seven cases of LIPT1D caused by LIPT1 gene mutations, totaling eight cases including the current one. The main presentations of LIPT1D in these infants were hyperlactatemia, metabolic acidosis, neurodevelopmental delay, and epilepsy, with four cases presenting in the neonatal period and resulting in death. Conclusions:The primary clinical manifestations of LIPT1D are severe hyperlactatemia, metabolic acidosis, and neurological involvement, potentially leading to early neonatal death. Whole-exome sequencing is instrumental in diagnosing this condition.

Purpose/Significance To achieve safe and efficient open sharing of health and medical data,and to stimulate the value of health and medical data elements.Method/Process Aiming at the current situation and problems of open sharing of health and medical data,an open sharing system of health and medical data is designed based on data integration governance,data asset management,data product supermarket,data sampling analysis and online sandbox analysis.Result/Conclusion The practice has proved that the system can effectively realize the collection,analysis,management and utilization of health and medical data.