Objective:To establish a nomograph prediction model of early critical changes in children with febrile convulsion, and to provide guidance for the prevention and nursing of children with febrile convulsion.Methods:Convenient sampling method was adopted to select 384 children with febrile convulsion in Anhui Children ′s Hospital from January 2018 to April 2021 as the research objects. Based on pews, the children with febrile convulsion were divided into 334 cases of non risk group and 50 cases of risk group. Binary Logistic regression analysis were used to determine the independent risk factors affecting the early critical changes of children with febrile convulsion. A nomogram was drawn based on the independent risk factors. The discrimination and consistency of the model were verified by model ROC curve and Hosmer Lemeshow goodness of fit.The external validation of model prediction efficiency were verified by validation data. Results:Binary Logistic regression analysis showed that age, respiratory rhythm disorder, unconsciousness, breath rate, heart rate, neutrophil-to-lymphocyte ratio (NLR), red blood cell distribution width (RDW), duration of first convulsion and mean body temperature after first convulsion were influence factors for early critical changes in children with febrile convulsion ( P<0.05). The C-index of the model was 0.974 (95% CI 0.954-0.993), and the C-index of the external validation of the model was 0.922 (95% CI 0.880-0.966). The results of H-L fitting test showed that the difference was not statistically significant( χ2=0.29, P>0.05). Conclusions:The early critical changes of children with febrile convulsion may be affected by respiratory rhythm disorder, confusion of consciousness, breath rate, heart rate, NLR, RDW, duration of the first convulsion, mean temperature after the first convulsion and other factors. Pediatric emergency department should collect corresponding intervention measures for children with febrile convulsion according to the establishment of prediction model to prevent their early deterioration.

Objective:To explore the mediation effects of perceived social support and work-family conflict on clinical nurses′ self-efficacy and parenting stress, and to provide theoretical basis for formulating intervention programs for parenting stress.Methods:A total of 631 clinical nurses from 8 grade A hospitals in Anhui Province were selected by convenience sampling method from August to October 2023. A cross-sectional survey was conducted with the general data questionnaire, the Chinese version of Work-Family Behavioral Role Conflict Scale, the Parenting Stress Scale for Clinical Nurses, the Perceptived Social Support Evaluation Scale and the General Self Efficacy Scale to analyze the relationship between perceptive social support, work-family conflict, self-efficacy and parenting stress and the mediating effect.Results:A total of 603 clinical nurses were included, including 9 males and 594 females, aged (35.16 ± 4.59) years. The total scores of work-family conflict, parenting stress, understanding of social support and self-efficacy were (87.10 ± 14.38), (51.00 ± 9.51), (59.91 ± 11.57) and (26.68 ± 6.27) points. The total effect of self-efficacy on parenting stress was - 0.385. The mediating paths of self-efficacy on parenting stress included: self-efficacy→perceived social support→parenting stress; self-efficacy→work-family conflict→parenting stress; self-efficacy→perceived social support→work-family conflict→parenting stress. The three indirect effects accounted for 18.69%, 53.72% and 16.87% of the total effect.Conclusions:Social support and work-family conflict have a chain mediation effect between clinical nurses′self-efficacy and parenting stress. Nursing managers can improve the self-efficacy of clinical nurses and enhance the understanding of social support to help reduce work-family conflict, so as to effectively alleviate the level of child-rearing stress of clinical nurses.