Caregiver burden among parents of school-age children with asthma: a cross-sectional study.

Objective: To investigate the caregiver burden of parents of school-age children with asthma and analyze the factors influencing their caregiver burden. Methods: A convenience sampling method was used to select 366 parents of school-age children with asthma who visited the outpatient departments of three tertiary hospitals in Sichuan Province, China, from January 2021 to July 2021. A general information questionnaire and the Caregiver Burden Inventory (CBI) were used to assess the current caregiver burden and analyze the influencing factors. Results: The caregiver burden score of parents of school-age children with asthma was 27 (17, 39), with 40.43% of parents experiencing moderate to high levels of burden. Detailed results of univariate analysis showed that there were significant differences in caregiver burden scores based on parents' gender, highest education level, number of children, occupation, family history of asthma, monthly family income, annual medical expenses for the child, child's gender, whether the child had undergone lung function tests, number of emergency visits due to asthma exacerbation in the past 3 months, and whether the child had missed school due to asthma exacerbation in the past 3 months (p < 0.1). Detailed results of multivariate analysis showed that parents' gender, occupation, family history of asthma, monthly family income, annual medical expenses for the child, number of emergency visits due to asthma exacerbation in the past 3 months, and whether the child had missed school due to asthma exacerbation in the past 3 months were independent risk factors for caregiver burden in parents of school-age children with asthma (p < 0.05). Conclusion: Parents of school-age children with asthma experience a certain level of caregiver burden, with over one-third of parents experiencing moderate to high levels of burden. Being a mother, being a worker, having no family history of asthma, having low monthly family income, having high annual medical expenses for the child, having frequent emergency visits due to asthma exacerbation in the past 3 months, and having missed school due to asthma exacerbation in the past 3 months are independent risk factors for caregiver burden in parents of school-age children with asthma, healthcare providers should develop feasible coping strategies, such as paying attention to caregivers' psychological condition to reduce the burden of caring for parents of school-age children with asthma. The entire society should also make efforts in improving social support and strengthening healthcare coverage in order to achieve the aforementioned goals.

Negative Lymph Node Is an Independent Prognostic Factor for Stage III Gastric Cancer Patients After Curative Gastrectomy: A Surveillance, Epidemiology, and End Results-Based Study.

BACKGROUND: Negative lymph node (NLN)' s prognostic impact on stage III gastric cancer (GC) patients after curative gastrectomy has not been rigorously studied. We aimed to explore the relationship between NLNs count and outcomes of stage III GC patients. METHODS: We retrospectively investigated stage III gastric cancer cases between 2008 and 2018 from Surveillance, Epidemiology, and End Results (SEER) database. Variables were compared by chi2 test. Kaplan-Meier methods and COX proportional hazard models were used to ascertain independent prognostic factors. Survival differences among the subgroups were analyzed to assess the effects of NLN count on overall survival (OS) in stage III GC patients. RESULTS: 2373 patients with curative gastrectomy for stage III GC were identified. Univariate analysis demonstrated that NLNs count >14 was associated better 5-year OS (43.7% VS 23.1%, P< .001) comparing with the NLNs count ≤ 14. Subgroup analysis showed that the NLNs count could predict survival in both node-negative and node-positive patients. Multivariate analysis revealed NLNs count is an independent prognostic factor. CONCLUSIONS: The NLNs count is an independent prognostic factor for survival in stage III gastric cancer patients after curative gastrectomy and should be recommended for clinical applications.

Effects of white matter hyperintensity on cognitive function in PD patients: a meta-analysis.

Background: Parkinson's disease (PD) is often accompanied by cognitive dysfunction, which imposes a heavy burden on patients, their families, and society. Early identification and intervention are particularly important, but reliable biomarkers for identifying PD-related cognitive impairment at an early stage are currently lacking. Although numerous clinical studies have investigated the association between brain white matter hyperintensity (WMH) and cognitive decline, the findings regarding the relationships between WMH and cognitive dysfunction in PD patients have been inconsistent. Therefore, this study aims to conduct a meta-analysis of the effect of WMH on PD cognitive function. Methods: This study was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Meta-Analysis of Observational Studies in Epidemiology (MOOSE) guidelines. We systematically searched relevant literature from databases such as PubMed, Web of Science, EMBASE, CNKI, and CBM. The retrieval time was limited to database records created up until December 31, 2022. Additionally, we manually retrieved references for full-text reading. Statistical data analysis was performed using RevMan 5.3 and Stata 15.0 software. Results: This study encompassed 23 individual studies and involved 2,429 patients with PD. The group of PD with mild cognitive impairment (PD-MCI) exhibited a significantly higher overall level of WMH than the group of PD with normal cognitive function (PD-NC) (SMD = 0.37, 95% CI: 0.21-0.52, p < 0.01). This finding was consistent across subgroup analyses based on different ethnicities (Asian or Caucasian), WMH assessment methods (visual rating scale or volumetry), and age matching. In addition to the overall differences in WMH load between the PD-MCI and PD-NC groups, the study found that specific brain regions, including periventricular white matter hyperintensity (PVH) and deep white matter hyperintensity (DWMH), had significantly higher WMH load in the PD-MCI group compared to the PD-NC group. The study also conducted a meta-analysis of WMH load data for PD with dementia (PDD) and PD without dementia (PDND), revealing that the overall WMH load in the PDD group was significantly higher than that in the PDND group (SMD = 0.98, 95% CI: 0.56-1.41, p < 0.01). This finding was consistent across subgroup analyses based on different ethnicities and age matching. Moreover, regarding specific brain regions (PVH or DWMH), the study found that the PDD group had significantly higher WMH load than the PDND group (p < 0.01). Conclusion: WMH was associated with PD cognitive dysfunction. The early appearance of WMH may indicate PD with MCI.