尼日利亚北部与癫痫儿童发作严重程度相关的因素。

Q3 Medicine
Idris A Adedeji, Adamu S Adamu, Faruk M Bashir
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引用次数: 1

摘要

目的:描述癫痫儿童发作严重程度可能受到某些社会人口统计学和临床变量的影响。设计:横断面研究。地点:尼日利亚包奇阿布巴卡尔塔法瓦巴莱瓦大学教学医院。参与者:60名儿童和青少年,他们在儿童神经病学诊所接受癫痫发作障碍的随访。干预:通过问卷调查获得社会人口学特征信息,从参与者的记录中提取神经系统合并症的详细信息,并使用国家医院癫痫发作严重程度评分3工具评估癫痫发作严重程度。主要结局测量:用卡方检验建立分类变量之间的关系,用独立t检验描述均值之间的差异。计算简单线性回归来评估癫痫发作严重程度的可预测性。结果:年龄中位数为10岁(IQR = 6 ~ 13岁),男性占多数(1.5:1)。癫痫发作严重程度评分(SSS)范围为3 ~ 24个单位,平均为12.22±4.29个单位。双变量分析中唯一与SSS有显著关联的特征是“共病的存在”(p=0.019)。简单的线性回归显示,神经系统合并症的存在预测SSS增加2.67个单位。[R2 = 0.091, F (1,58)= 5.837, p = 0.019]。β = 2.67, t= 2.42, p= 0.019。结论:本研究表明神经系统合并症预示着癫痫发作严重程度的恶化。这一知识可能会影响预后和治疗轨迹的绘制。资金:无外部资金。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Factors associated with seizure severity among children with epilepsy in Northern Nigeria.

Factors associated with seizure severity among children with epilepsy in Northern Nigeria.

Factors associated with seizure severity among children with epilepsy in Northern Nigeria.

Objective: To describe how seizure severity in children with epilepsy may be affected by certain socio-demographic and clinical variables.

Design: A cross-sectional study.

Setting: At the Abubakar Tafawa Balewa University Teaching Hospital, Bauchi, Nigeria.

Participants: Sixty children and adolescents who were being followed up for seizure disorder at the child neurology clinic.

Intervention: Information on socio-demographic characteristics was obtained with a questionnaire, details of neurological co-morbidities were extracted from the participants' records, and seizure severity was assessed with the National Hospital Seizure Severity Score 3 tool.

Main outcome measure: Chi-square test was used to establish the relationship between categorical variables, while the Independent t-test was used in describing the differences between means. Simple linear regression was calculated to assess the predictability of seizure severity.

Result: The median age was ten years (IQR = 6-13 years), with a male dominance (1.5:1). The Seizure Severity Score (SSS) ranged between 3 and 24 units, with a mean of 12.22 ± 4.29 units. The only characteristic that had a significant association with SSS on bivariate analysis was the "presence of co-morbidities" (p=0.019). A simple linear regression revealed that the presence of a neurological co-morbidity predicted an increase in the SSS by 2.67 units. [R2 = 0.091, F (1, 58)= 5.837, p = 0.019. β = 2.67, t= 2.42, p= 0.019.].

Conclusion: This study shows that neurological co-morbidities predict worsening seizure severity. This knowledge may influence prognostication and the charting of a treatment trajectory.

Funding: No external funding.

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来源期刊
Ghana Medical Journal
Ghana Medical Journal Medicine-Medicine (all)
CiteScore
1.10
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20 weeks
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