Objective To evaluate the changes of perivascular space(PVS)in patients with subacute ischemic stroke(IS),as well as the relationship between PVS and cognitive dysfunction in IS patients,and to analyze the relationship between PVS indicators and cognitive function in subacute IS patients of different ages.Methods A total of 44 healthy controls(HC)and 39 patients with subacute IS were prospectively included.Automated quantitative analysis of MRI data was conducted to determine pPVS in the white matter and subcortical regions.Differences in pPVS between patients with subacute IS and HC were compared.Correlations between age,pPVS,and cognitive dysfunction were analyzed and modeled.Results Compared with the HC,the white matter pPVS in patients with subacute IS was significantly reduced(t=-2.21,P=0.031).In patients with subacute IS,the white matter pPVS showed a significant positive correlation with lesion volume(r=0.42,P=0.030)and mini-mental state examination(MMSE)scores(r=0.44,P=0.018).Both white matter pPVS(r=-0.42,P=0.010)and MMSE scores(r=-3.82,P=0.000 7)were negatively correlated with age.When age was over 61.35 years,there was a positive correlation between the white matter pPVS and MMSE scores.Conclusion PVS are closely related to cognitive impairment in patients with subacute IS.Age is a significant modulating factor in the relationship between PVS and cognitive dysfunction.Early monitoring of PVS and targeting it for intervention may positively impact the improvement of cognitive dysfunction following IS.

Objective To evaluate the changes of perivascular space(PVS)in patients with subacute ischemic stroke(IS),as well as the relationship between PVS and cognitive dysfunction in IS patients,and to analyze the relationship between PVS indicators and cognitive function in subacute IS patients of different ages.Methods A total of 44 healthy controls(HC)and 39 patients with subacute IS were prospectively included.Automated quantitative analysis of MRI data was conducted to determine pPVS in the white matter and subcortical regions.Differences in pPVS between patients with subacute IS and HC were compared.Correlations between age,pPVS,and cognitive dysfunction were analyzed and modeled.Results Compared with the HC,the white matter pPVS in patients with subacute IS was significantly reduced(t=-2.21,P=0.031).In patients with subacute IS,the white matter pPVS showed a significant positive correlation with lesion volume(r=0.42,P=0.030)and mini-mental state examination(MMSE)scores(r=0.44,P=0.018).Both white matter pPVS(r=-0.42,P=0.010)and MMSE scores(r=-3.82,P=0.000 7)were negatively correlated with age.When age was over 61.35 years,there was a positive correlation between the white matter pPVS and MMSE scores.Conclusion PVS are closely related to cognitive impairment in patients with subacute IS.Age is a significant modulating factor in the relationship between PVS and cognitive dysfunction.Early monitoring of PVS and targeting it for intervention may positively impact the improvement of cognitive dysfunction following IS.

Background Anxiety and depression are common perinatal mental health issues that often occur together and can have serious negative effects on both maternal and infant health. Objective To examine the relationships between lifestyle factors and comorbid anxiety and depression (CAD) among pregnant women in Shanghai. Methods The study estimated the prevalence of CAD during the first, second, and third trimesters of pregnancy using the Self-rating Anxiety Scale (SAS) and Center for Epidemiological Studies-Depression (CES-D) based on data from the China National Birth Cohort (CNBC) embryonic-derived diseases with assisted reproductive technology (ART) sub-cohort. Information on demographics, sleep status, nutritional intake, and exercise during each trimester was collected through self-made questionnaires, the Pittsburgh Sleep Quality Index (PSQI), and the Food Frequency Questionnaire (FFQ). Lifestyle factors (such as sleep status, nutritional intake, and exercise during each trimester) were analyzed using logistic regression and generalized linear mixed models (GLMM) to determine their impacts on the prevalence of CAD (yes or no) among pregnant women. Results A total of 2876 pregnant women were included in this study. The prevalence of CAD was 10.6% (305), 3.6% (103), and 5.5% (159) in the first, second, and third trimesters of pregnancy, respectively. The logistic regression analysis revealed that poor sleep quality throughout the entire pregnancy were statistically associated with an increased prevalence of CAD, and the odds ratios (OR) with 95% confidence intervals (CI) were 2.817 (1.845, 4.301), 2.840 (1.855, 4.347), and 9.316 (5.835, 14.876) for the first, second, and third trimesters, respectively, when compared to good sleep quality. Additionally, compared to an intake frequency of 7 times per week, the frequency of egg intake ≤3 times per week in the first trimester (OR=2.025, 95%CI: 1.197, 3.425) and the frequency of egg intake of 4–6 times per week (OR=1.896, 95%CI: 1.117, 3.216) or ≤3 times per week (OR=1.906, 95%CI: 1.082, 3.357) in the third trimester were associated with an increased risk of CAD (P<0.05). Moreover, when compared to a frequency of exercise >3 times per week, never or almost never exercising in the second trimester (OR=2.218, 95%CI: 1.220, 4.035) was associated with an increased risk of CAD (P<0.05). The GLMM analysis also demonstrated a significant association between poor sleep quality, lower exercise frequency, or lower intake frequency of vegetables, eggs, or milk and an increased risk of CAD (P<0.05). Conclusion The prevalence of CAD among pregnant women in Shanghai follows a U-shaped distribution, with the highest rate occurring in early pregnancy and the lowest rate in mid-pregnancy. Factors such as poor sleep quality, inadequate intake of vegetables, eggs, or milk, and lack of exercise during pregnancy may increase the risk of CAD. Implementing lifestyle interventions during pregnancy could potentially reduce the risk of mental health problems and improve the overall health of both mothers and babies.

Fathers play an important role in supporting maternal breastfeeding. Father's self-efficacy in supporting breastfeeding can predict the outcome of breastfeeding. This article reviews the concept, evaluation tools, roles, status, influencing factors, and intervention measures of self-efficacy in father's support for breastfeeding, so as to provide suggestions for further promoting the formation of breastfeeding intervention plans, thereby improving marital relationships, and promoting infant health.

Objective:To retrieve, evaluate, and integrate the evidence from both domestic and international sources on the management of artificial airways in children.Methods:All evidence on the management of artificial airways in children, including clinical decisions, evidence-based guidelines, expert consensus, best clinical practice manuals, evidence summaries, systematic reviews and so on was retrieved through computer on UpToDate, Cochrane Library, Joanna Briggs Institute (JBI) Evidence-based Healthcare Center Database in Australia, Guidelines International Network, National Guideline Clearinghouse, American Association for Respiratory Care, PubMed, Medline, CINAHL, China Biomedical Medline Disc, China National Knowledge Infrastructure, WanFang Data, Medlive, and other databases and websites. The search period was from database establishment to April 30, 2022. We evaluated the quality of the included literature, extracted and integrated evidence, determined the level of evidence recommendation.Results:A total of 24 articles were included, including four clinical decisions, six evidence-based guidelines, one systematic review, six expert consensus, one evidence summary, one industry standard, four best clinical practice manuals, and one original study. Finally, 36 recommendations were summarized from five aspects, including artificial airway establishment, airbag management, airway humidification, endotracheal suction and prevention of complication.Conclusions:Artificial airway management in children is crucial for the treatment of critically ill children. The summary of the best evidence can provide a theoretical basis for the standardized management of artificial airways in children.