ObjectiveBased on ultra performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS）， the combination of serum pharmacochemistry， response profile of absorbed components in serum， network pharmacology and drug-likeness prediction was used to screen the potential active ingredients of Yanghetang against breast cancer. MethodsUPLC-Q-TOF-MS/MS was used to identify the main components in different solvent extracts of Yanghetang， and serum pharmacochemistry was applied to analyze the absorbed components from the serum of female SD rats after 0.5， 1， 2 h of administration. Combined with the response characteristic values of serum drug components obtained from UNIFI 1.8.2， the absorbed prototype components and metabolites were screened to get the absorbed components of Yanghetang with a significant patterns of elimination and growth. Network pharmacology was applied to construct a drug-component-pathway-target-disease network， and molecular docking was performed between absorbed components and key targets of breast cancer， and the drug similarity was analyzed by SwissADME. ResultsForty-two compounds were identified in Yanghetang samples extracted with different solvents， of which 16 compounds were common to the three different extraction solvents（methanol， 50% methanol and water）. The results of drug-containing serum analysis showed that there were 16 absorbed components in serum， including 5 prototypes and 11 metabolites. Network pharmacology results showed that Yanghetang against breast cancer involved 15 key targets such as proto-oncogene tyrosine-protein kinase Src（SRC）， epidermal growth factor receptor（EGFR） and phosphoinositide 3 kinase catalytic alpha polypeptide（PIK3CA）. Molecular docking results showed that 16 potential active ingredients were well combined with the predicted targets. Combined with drug likenesses， 12 compounds in the absorbed components of Yanghetang were considered to have potential for anti-breast cancer activity， mainly including α-pinene and γ-eudesmol and their metabolites， of which one was from Ephedrae Herba， one was from Rehmanniae Radix， and eight were from Cinnamomi Cortex. ConclusionThe chemical components of Yanghetang mainly include polysaccharides， monoterpene glycosides and coumarins， and its prototype components mainly undergo oxidation， hydrolysis and acetylation after entering the blood. Its anti-breast cancer mechanism may be related to the regulation of signaling pathways such as the mitogen-activated protein kinase（MAPK） and phosphatidylinositol 3-kinase/protein kinase B（PI3K/Akt）. The results of this study can lay a foundation for further exploration of Yanghetang in the treatment of breast cancer.

Alzheimer's disease (AD) remains a formidable challenge in modern healthcare, necessitating innovative approaches for its early detection and intervention. This study aimed to enhance the identification of individuals with mild cognitive impairment (MCI) at risk of developing AD. Leveraging advances in computational power and the extensive availability of healthcare data, we explored the potential of deep learning models for early prediction using medical claims data. We employed a bidirectional gated recurrent unit (BiGRU) deep learning model for predictive modeling of MCI progression across various prediction intervals, extending up to five years post-initial MCI diagnosis. The performance of the BiGRU model was rigorously compared with several machine-learning model baselines to evaluate its efficacy. Using a robust cross-validation methodology, the BiGRU emerged as the top-performing model, achieving an Area Under the Receiver Operating Characteristic Curve (AUC-ROC) of 0.833 (95% CI: 0.822, 0.843), an Area Under the Precision-Recall Curve (AUC-PR) of 0.856 (95% CI: 0.845, 0.867), and an F1-Score of 0.71 (95% CI: 0.694, 0.724) for a five-year prediction interval. The results indicate that BiGRU, utilizing longitudinal claims data, reliably predicts MCI-to-AD progression over a lengthy interval following the initial MCI diagnosis, offering clinicians a valuable tool for targeted risk identification and stratification.

Objective:To analyze the comprehensive blood inflammation index of the patients with stage I pneumoconiosis complicated with pulmonary infection, and to explore its value in predicting the patients' disease.Methods:In September 2023, 83 patients with stage I pneumoconiosis who were treated in Tianjin Occupational Diseases Precaution and Therapeutic Hospital from November 2021 to August 2023 were selected and divided into non-infected group (56 cases) and infected group (27 cases) according to whether they were combined with lung infection. Workers with a history of dust exposure but diagnosed without pneumoconiosis during the same period were selected as the control group (65 cases) . By referring to medical records and collecting clinical data such as gender, age, occupational history, past medical history, hematology testing, the differences in the comprehensive blood inflammation indexes among the three groups were compared, ROC curve was drawn, and the relationship between comprehensive blood inflammation indexes and stage I pneumoconiosis and its combined lung infection was analyzed.Results:There were significtant differences in the number of neutrophils (N) , the number of lymphocytes (L) , the number of monocytes (M) , C-reactive protein (CRP) , the neutrophil to lymphocyte ratio (NLR) , the monocyte to lymphocyte ratio (MLR) , the platelet to lymphocyte ratio (PLR) , the systemic immune-inflammatory index (SII) , the systemic inflammation response index (SIRI) , the aggregate index of systemic inflammation (AISI) , the derived neutrophil to lymphocyte ratio (dNLR) , the neutrophil to lymphocyte and platelet ratio (NLPR) , and the C-reactive protein to lymphocyte ratio (CLR) ( P<0.05) . Compared with the control group, MLR, SIRI and AISI in the non-infected group were significantly increased ( P<0.05) . NLR, MLR, PLR, SII, SIRI, AISI, dNLR, NLPR, CLR were significantly increased ( P<0.05) . Compared with the non-infected group, NLR, PLR, SII, SIRI, AISI, dNLR, NLPR and CLR were significantly increased in the infected group ( P<0.05) . ROC analysis showed that NLR, MLR, PLR, SII, SIRI and AISI had a certain predictive capability for stage I pneumoconiosis ( P<0.05) , among which MLR had the highest efficacy, with an AUC of 0.791 (95% CI: 0.710-0.873) , the cut-off value was 0.18, the sensitivity was 71.4%, and the specificity was 78.5%. NLR, MLR, PLR, SII, SIRI, AISI, dNLR, NLPR and CLR all had a certain predictive capability forstage I pneumoconiosis combined lung infection ( P<0.05) , among which CLR had the highest efficacy, with an AUC of 0.904 (95% CI: 0.824~0.985) , the cut-off value was 5.33, sensitivity was 77.8%, specificity was 98.2%. Conclusion:The comprehensive blood inflammation index may be an auxiliary predictor of stage I pneumoconiosis and its combined lung infections.

Objective·To investigate the intervention effect of oral motor training combined with pediatric tui-na on feeding intolerance in preterm infants to provide new treatment options and improve the quality of care.Methods·By using a non-simultaneous controlled clinical trial method,75 eligible preterm infants from the neonatal unit of a tertiary care hospital in Jinan were selected as the experimental group to implement oral training combined with pediatric massage therapy.Another 60 preterm infants admitted in 2020 were selected as the control group,who had already received oral motor training but had not received pediatric massage.The experimental group was treated for 7 d and the efficacy of the two groups was compared.Comparisons between the two groups included signs of feeding intolerance such as vomiting,gastric remnants and other outcome indicators such as first oral feeding time,gastric tube retention time,increased milk volume at day 3 and increased milk volume at day 7,feeding initiation time,increased weight at day 3 and increased weight at day 7,recovery time of birth weight,and days of hospitalization in both groups.Results·The differences in gender,age,birth weight,and Apgar score between the two groups before treatment were not statistically significant(P>0.05)indicating comparability.After treatment,preterm infants in the experimental group showed significant improvement in feeding performance,first oral feeding time,gastric tube retention time,increased milk volume at day 3 and increased milk volume at day 7,increased weight at day 3 and increased weight at day 7,hospitalization days and other observed indexes compared with the control group,and the differences were statistically significant(P<0.05).There was no significant difference in the feeding initiation time and recovery time of birth weight between the two groups(P>0.05).Conclusion·The combined application of oral motor training and pediatric tui-na is significantly more effective than single oral motor training in the short-term treatment of feeding intolerance in preterm infants.This combination therapy helps preterm infants to increase milk intake and accelerate weight gain,helps the children to recover intestinal function,establishes early nutritional support,promotes growth and development,and reduces the risk of long-term complications.This treatment is simple,safe and efficient,and has the value of popularization.

Objective:To summarize the clinical features of primary segmental volvulus (PSV) in neonates.Methods:A retrospective analysis was conducted on the clinical data of neonates with PSV who were admitted to the Department of Neonatal Surgery, Children's Hospital Affiliated to Capital Institute of Pediatrics from May 2014 to May 2023. The clinical manifestations, auxiliary examinations, treatment and prognosis of the neonates were summarized, and descriptive statistical analysis was performed on the collected data.Results:A total of 10 neonates with PSV were included, with a mean gestational age of (34.1±3.0) weeks and birth weight of (2 291±646) g. Eight cases had an onset age of 3 d or less, and 2 cases had an onset age of more than 3 d. Abdominal distension was observed as the main manifestation in all cases, while bilious vomiting occurred in seven cases and hematochezia in five cases. Imaging examinations mainly revealed low intestinal obstruction without specific manifestations. Laboratory tests showed metabolic acidosis and varing degrees of anaemia. Nine cases underwent diagnostic abdominal puncture, of which five had bloody ascites, two had clear ascites, one had bloody mixed with fecal-like ascites, and one had chylous ascites. All the cases underwent emergency exploratory laparotomy and segmental small bowel resections with either primary intestinal anastomosis or enterostomy. All cases were successfully cured and had been followed up to the age of 4 months to 9 years with good growth and development as normal children of the same age.Conclusions:Neonatal PSV is an independent abdominal emergency characterized by non-specific clinical manifestations and difficult preoperative diagnosis, but the overall prognosis is favorable after active surgical treatment.

Objective To investigate the risk factors of in-hospital mortality and establish a risk prediction model for patients receiving venoarterial extracorporeal membrane oxygenation(VA-ECMO).Methods We retrospectively collected the data of 302 patients receiving VA-ECMO in ICU of 3 hospitals in Guangdong Province between January,2015 and January,2022 using a convenience sampling method.The patients were divided into a derivation cohort(201 cases)and a validation cohort(101 cases).Univariate and multivariate logistic regression analyses were used to analyze the risk factors for in-hospital death of these patients,based on which a risk prediction model was established in the form of a nomogram.The receiver operator characteristic(ROC)curve,calibration curve and clinical decision curve were used to evaluate the discrimination ability,calibration and clinical validity of this model.Results The in-hospital mortality risk prediction model was established based the risk factors including hypertension(OR=3.694,95%CI:1.582-8.621),continuous renal replacement therapy(OR=9.661,95%CI:4.103-22.745),elevated Na2+ level(OR=1.048,95%CI:1.003-1.095)and increased hemoglobin level(OR=0.987,95%CI:0.977-0.998).In the derivation cohort,the area under the ROC curve(AUC)of this model was 0.829(95%CI:0.770-0.889),greater than those of the 4 single factors(all AUC<0.800),APACHE Ⅱ Score(AUC=0.777,95%CI:0.714-0.840)and the SOFA Score(AUC=0.721,95%CI:0.647-0.796).The results of internal validation showed that the AUC of the model was 0.774(95%CI:0.679-0.869),and the goodness of fit test showed a good fitting of this model(χ2=4.629,P>0.05).Conclusion The risk prediction model for in-hospital mortality of patients on VA-ECMO has good differentiation,calibration and clinical effectiveness and outperforms the commonly used disease severity scoring system,and thus can be used for assessing disease severity and prognostic risk level in critically ill patients.

Objective:To analyze the comprehensive blood inflammation index of the patients with stage I pneumoconiosis complicated with pulmonary infection, and to explore its value in predicting the patients' disease.Methods:In September 2023, 83 patients with stage I pneumoconiosis who were treated in Tianjin Occupational Diseases Precaution and Therapeutic Hospital from November 2021 to August 2023 were selected and divided into non-infected group (56 cases) and infected group (27 cases) according to whether they were combined with lung infection. Workers with a history of dust exposure but diagnosed without pneumoconiosis during the same period were selected as the control group (65 cases) . By referring to medical records and collecting clinical data such as gender, age, occupational history, past medical history, hematology testing, the differences in the comprehensive blood inflammation indexes among the three groups were compared, ROC curve was drawn, and the relationship between comprehensive blood inflammation indexes and stage I pneumoconiosis and its combined lung infection was analyzed.Results:There were significtant differences in the number of neutrophils (N) , the number of lymphocytes (L) , the number of monocytes (M) , C-reactive protein (CRP) , the neutrophil to lymphocyte ratio (NLR) , the monocyte to lymphocyte ratio (MLR) , the platelet to lymphocyte ratio (PLR) , the systemic immune-inflammatory index (SII) , the systemic inflammation response index (SIRI) , the aggregate index of systemic inflammation (AISI) , the derived neutrophil to lymphocyte ratio (dNLR) , the neutrophil to lymphocyte and platelet ratio (NLPR) , and the C-reactive protein to lymphocyte ratio (CLR) ( P<0.05) . Compared with the control group, MLR, SIRI and AISI in the non-infected group were significantly increased ( P<0.05) . NLR, MLR, PLR, SII, SIRI, AISI, dNLR, NLPR, CLR were significantly increased ( P<0.05) . Compared with the non-infected group, NLR, PLR, SII, SIRI, AISI, dNLR, NLPR and CLR were significantly increased in the infected group ( P<0.05) . ROC analysis showed that NLR, MLR, PLR, SII, SIRI and AISI had a certain predictive capability for stage I pneumoconiosis ( P<0.05) , among which MLR had the highest efficacy, with an AUC of 0.791 (95% CI: 0.710-0.873) , the cut-off value was 0.18, the sensitivity was 71.4%, and the specificity was 78.5%. NLR, MLR, PLR, SII, SIRI, AISI, dNLR, NLPR and CLR all had a certain predictive capability forstage I pneumoconiosis combined lung infection ( P<0.05) , among which CLR had the highest efficacy, with an AUC of 0.904 (95% CI: 0.824~0.985) , the cut-off value was 5.33, sensitivity was 77.8%, specificity was 98.2%. Conclusion:The comprehensive blood inflammation index may be an auxiliary predictor of stage I pneumoconiosis and its combined lung infections.

Objective:To analyze the researches on nutrition for premature infants and steer future research directions.Methods:The Web of Science core collection was employed as the primary source to conduct a comprehensive search and retrieve relevant literature on nutrition for premature infants published up from 1975 to December 2023. A visualized analysis was conducted using CiteSpace.Results:After screening, a total of 2 661 publications were included. A rising trend was seen in the amount of publications. Countries with the most publications were the United States, the United Kingdom, and Italy, with the leading institutions of Baylor College of Medicine and the University of Copenhagen. Shanghai Jiao Tong University was the institution that published the most in China. Key topics that were studied frequently encompassed parenteral nutrition, breast milk utilization and necrotizing enterocolitis. Cluster analysis of keywords identified 18 representative cluster labels, revealing the research focuses on parenteral nutrition, enteral nutrition, necrotizing enterocolitis and feeding intolerance in premature infants.Conclusion:The researches on nutrition for premature infants are on the rise, and the nutritional support regimen, how to reduce complications, and nutritional care are the hot topics of future researches on nutrition for premature infants.

Objective To investigate the risk factors of in-hospital mortality and establish a risk prediction model for patients receiving venoarterial extracorporeal membrane oxygenation(VA-ECMO).Methods We retrospectively collected the data of 302 patients receiving VA-ECMO in ICU of 3 hospitals in Guangdong Province between January,2015 and January,2022 using a convenience sampling method.The patients were divided into a derivation cohort(201 cases)and a validation cohort(101 cases).Univariate and multivariate logistic regression analyses were used to analyze the risk factors for in-hospital death of these patients,based on which a risk prediction model was established in the form of a nomogram.The receiver operator characteristic(ROC)curve,calibration curve and clinical decision curve were used to evaluate the discrimination ability,calibration and clinical validity of this model.Results The in-hospital mortality risk prediction model was established based the risk factors including hypertension(OR=3.694,95%CI:1.582-8.621),continuous renal replacement therapy(OR=9.661,95%CI:4.103-22.745),elevated Na2+ level(OR=1.048,95%CI:1.003-1.095)and increased hemoglobin level(OR=0.987,95%CI:0.977-0.998).In the derivation cohort,the area under the ROC curve(AUC)of this model was 0.829(95%CI:0.770-0.889),greater than those of the 4 single factors(all AUC<0.800),APACHE Ⅱ Score(AUC=0.777,95%CI:0.714-0.840)and the SOFA Score(AUC=0.721,95%CI:0.647-0.796).The results of internal validation showed that the AUC of the model was 0.774(95%CI:0.679-0.869),and the goodness of fit test showed a good fitting of this model(χ2=4.629,P>0.05).Conclusion The risk prediction model for in-hospital mortality of patients on VA-ECMO has good differentiation,calibration and clinical effectiveness and outperforms the commonly used disease severity scoring system,and thus can be used for assessing disease severity and prognostic risk level in critically ill patients.

Transcranial magnetic stimulation (TMS) combined with electroencephalography (EEG) is a non-invasive technique for studying the excitability and connectivity of the brain cortex, which has been applied in basic scientific research and clinical disease assessment. However, the applicability of TMS-EEG is limited due to artifacts of both biological and abiotic nature induced by TMS pulse output. To address this issue, in the past decade, researchers have developed various TMS-EEG artifact removal methods from two perspectives, including online experimental design and offline data post-processing, and have achieved numerous valuable results. In this paper, the currently available TMS-EEG artifact removal methods are reviewed to facilitate the application of TMS-EEG in basic research and clinical disease diagnosis and treatment.