Background: Febrile convulsions are the most frequent type of seizures in children under 6 years of age. Significant percentage of these children will later suffer from recurrence of febrile convulsion.Objectives: To identify the main risk factors for recurrent febrile convulsions in children.Methods: we carried out a case control study involving 89 children those who experienced first attack of febrile convulsions and 92 children with recurrent attack of febrile convulsions. The study was conducted in Central Children Teaching Hospital, Baghdad during the period 2006- 2007. Results: Compared to children with first attack of febrile convulsion, children with recurrent seizures were younger at onset (4- 12m) (67% vs. 44%), mainly male (70% vs. 51%) and had more often family history (first degree relative) history of epilepsy, low degree of temperature (45% vs. 23%) and frequent febrile illnesses (83% vs. 50%). second degree family history of febrile convulsion and onset of febrile convulsion in relation to onset of fever and type of convulsion (simple vs. complex) were not significant risk factors.Conclusions: Awareness of these risk factors should lead pediatricians to suggest administration of short course of diazepam at onset of each febrile illness to prevent recurrent febrile convulsions. Also, public education on recurrent febrile convulsions is needed.
Risk Factors for Recurrent Febrile Convulsions in Children
Febrile convulsions Risk factors Recurrence
Publication Date
Wed Dec 22 2021
Journal Name
Plos One
Awareness and preparedness of healthcare workers against the first wave of the COVID-19 pandemic: A cross-sectional survey across 57 countries
Background
Methods
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Adult
COVID-19
Cross-Sectional Studies
Education
Medical
Continuing
Female
Health Knowledge
Attitudes
Practice
Humans
Male
Personnel
Hospital
Socioeconomic Factors
Surveys and Questionnaires
Since the COVID-19 pandemic began, there have been concerns related to the preparedness of healthcare workers (HCWs). This study aimed to describe the level of awareness and preparedness of hospital HCWs at the time of the first wave.
This multinational, multicenter, cross-sectional survey was conducted among hospital HCWs from February to May 2020. We used a hierarchical logistic regression multivariate analysis to adjust the influence of variables based on awareness and preparedness. We then used association rule mining to identify relationships between HCW confidence in handling suspected
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