Objective To understand the continuous care needs and related services will of the women in puerperium, and analyze the relative factors of the continuity care of those discharged from maternity hospital.Methods A total of 207 delivery women who were discharged from a hospital in Chenghua District Maternal & Child Care Center in Chengdu city from September to December, 2014 were investigated with self-made questionnaires.Results As for newborn babies' continuity care service, what those delivery women care most were newborn babies' common disease prevention and care, and as for their own continuity care service, what they most need were maternal uterine instauration care.Enforcers for continuity of care services were more inclined to obstetricians and pediatricians, and the service forms tended to make telephone calls or do follow-up visits.Time frequency of the follow-up visits was inclined to 7 days once.Delivery women's educational degree (r=-0.216, P＜0.01), place of residence (r=0.208, P＜0.01), whether they would participate in pregnant Women school (r=0.192, P＜0.01), pregnant women school number (r=-0.382, P＜0.01),the newborn's tire(r=0.173, P＜0.05) and maternal type(r=0.161, P＜0.05) were factors that influenced the degree of maternal continued care needs.Conclusions The main factors which influence the continuity care in obstetrics are educational degrees, place of residence and the types of delivery women.As a result, different methods of continuity care service should be established to aim at different groups of people so as to promote the service quality in obstetrics in general to meet the needs of delivery women at all levels.

N-acetyl-L-cysteine (NAC) capped quantum dots (QDs) were synthesized by a hydrothermal method and coated with 2-amino-2-deoxy-D-glucose (DG), polyethylene glycol (PEG), and 9-D-arginine (9R). The optical properties, morphology and structure of 9R/DG-coated CdTe QDs were characterized by ultraviolet-visible spectrometry, fluorescence spectrum, Fourier transform infrared (FTIR), proton nuclear magnetic resonance (1H NMR), liquid chromatography-mass spectrometer (LC-MS), sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and transmission electron micrographs (TEM). Furthermore, the biocompatibility, tumor targeted ability and transmembrane action of 9R/DG-coated CdTe QDs were studied. Results indicated that 9R/DG-coated CdTe QDs was constructed successfully by ligand exchange. The 9R/DG-coated CdTe QDs with the size of 8-10 nm had good dispersity and the absorbance and fluorescence peaks of CdTe QDs after modification were red shifted from 480 nm to 510 nm and 627 nm to 659 nm, respectively. In addition, the CdTe QDs modified by PEG, DG and 9R displayed good biocompatibility, high targeted ability to the cancer cells with glucose transporter type 1 (GLUT1) receptor high expression and obvious transmembrane ability.

Objective:To develop a short-term prognostic model of spontaneous cerebral hemorrhage based on eXtreme Gradient Boosting (XGBoost) machine learning, and to compare its predictive performance with a Logistic regression model.Methods:Patients with sICH admitted to Department of Neurology, Second People's Hospital of Hefei from January 2018 to March 2022 were chosen; their general demographic characteristics, medical history, laboratory indices and cranial imaging data were retrospectively collected. The prognoses of patients 90 d after discharge were evaluated according to modified Rankin Scale (mRS) scores (good prognosis: mRS scores<3; poor prognosis: mRS scores≥3). XGboost and multiple Logistic regression models were used to screen out the factors for prognoses of patients 90 d after discharge, and area under receiver operating characteristic (ROC) curves, sensitivity, specificity and prediction accuracy of the 2 models were analyzed and compared.Results:A total of 413 patients with sICH were included; 180 patients(43.6 %) had poor prognosis and 233 (56.4%) had good prognosis 90 d after discharge. Multivariate Logistic regression results showed that age≥65 years, hemorrhage into the ventricle, hematoma volume of 20-40 mL, hematoma volume>40 mL and National Institutes of Health Stroke Scale (NIHSS) scores were independent influencing factors for short-term prognoses of sICH ( P<0.05). The variables in the XGBoost model were ranked in order of importance: NIHSS scores, systolic blood pressure at admission, Glasgow coma scale (GCS) scores, age≥65 years, hemorrhage into the ventricle, hematoma volume of 20-40 mL, and hematoma volume>40 mL. AUC of XGBoost model in predicting the prognosis was 0.895 (95% CI: 0.820-0.947), enjoying sensitivity of 68.89%, specificity of 94.83%, and prediction accuracy of 83.5%. AUC of Logistic regression model in predicting the prognosis was 0.894 (95% CI: 0.818-0.946), enjoying sensitivity of 93.33%, specificity of 70.69%, and prediction accuracy of 80.58%. Conclusion:The short-term prognostic model based on XGboost for sICH patients has high predictive efficacy, whose predictive accuracy is better than traditional Logistic regression.

BackgroundSibling relationships play a critical role in shaping anxiety symptoms in firstborn children. Anxiety symptoms often originate in early childhood and can persist into adolescence and adulthood. However， there is insufficient research on anxiety symptoms in preschool children， especially firstborn preschool children. ObjectiveTo explore the influencing factors of anxiety symptoms among firstborn preschool children， so as to provide references for the intervention of anxiety symptom for children in families with multiple children. MethodsFrom October to December 2021， a total of 8 449 children from 234 kindergartens in Longhua District of Shenzhen were included using a cluster sampling method. Sibling Inventory of Behavior （SIB） and Spence Preschool Anxiety Scale （SPAS） were used to investigate. Logistic regression analysis was used to identify influencing factors of anxiety symptoms in firstborn preschool children. ResultsA total of 8 419 （99.64%） valid questionnaires were collected. Anxiety symptoms were detected in 344（4.09%） firstborn preschool children. Statistically significant differences were observed between anxiety group and non-anxiety group in terms of household registration， monthly family income， maternal age， maternal education level， paternal education level， family living conditions and whether they are left-behind children （χ²/t=9.906， 33.490， 5.136， 13.485， 9.690， 17.332， 21.975， P<0.05 or 0.01）. Compared with non-anxiety group， children in the anxiety group scored higher on the SIB dimensions of rivalry， aggression and avoidance （t=165.322， 74.471， 286.419， P<0.01）， and lower on companionship， empathy and teaching （t=59.133， 42.417， 39.112， P<0.01）. Risk factors for anxiety symptoms in firstborn preschool children included left-behind children， as well as negative sibling relationships characterized by rivalry and avoidance （OR=1.195， 1.143， 1.260， P<0.05 or 0.01）. ConclusionFirstborn preschool children who are left-behind are more susceptible to anxiety symptoms. Negative sibling relationships， characterized by competition and avoidance， may also contribute to the emergence of anxiety symptoms in firstborn preschool children.