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1.400014 重庆,重庆医科大学附属儿童医院,国家儿童健康与疾病临床医学研究中心,儿童发育疾病研究教育部重点实验室,儿童神经发育与认知障碍重庆市重点实验室:麻醉科
2.400014 重庆,重庆医科大学附属儿童医院,国家儿童健康与疾病临床医学研究中心,儿童发育疾病研究教育部重点实验室,儿童神经发育与认知障碍重庆市重点实验室:儿童医疗健康大数据中心
[徐颖,E-mail:xuyingxy3066@126.comXU Ying, E-mail: xuyingxy3066@126.com
收稿:2024-05-11,
修回:2024-06-19,
纸质出版:2024-07-30
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曹一凡, 丁梦微, 熊玲, 等. 癫痫患儿镇静苏醒时间延长的危险因素分析[J]. 陆军军医大学学报, 2024,46(14):1653-1657.
Yifan CAO, Mengwei DING, Ling XIONG, et al. Risk factors for prolonged sedation recovery time in children with epilepsy[J]. Journal of Army Medical University, 2024, 46(14): 1653-1657.
曹一凡, 丁梦微, 熊玲, 等. 癫痫患儿镇静苏醒时间延长的危险因素分析[J]. 陆军军医大学学报, 2024,46(14):1653-1657. DOI: 10.16016/j.2097-0927.202405042.
Yifan CAO, Mengwei DING, Ling XIONG, et al. Risk factors for prolonged sedation recovery time in children with epilepsy[J]. Journal of Army Medical University, 2024, 46(14): 1653-1657. DOI: 10.16016/j.2097-0927.202405042.
目的
2
探讨癫痫患儿镇静苏醒时间延长的危险因素。
方法
2
采用病例-对照研究设计方案,筛选2019年11月至2022年12月在重庆医科大学附属儿童医院接受右美托咪啶联合水合氯醛镇静下行脑电图(electroencephalography
EEG)检查的癫痫患儿,收集患儿的基本信息、镇静资料、用药资料。将超过第75百分位的苏醒时间定义苏醒时间延长,故分为镇静苏醒时间≤1 h组和>1 h组,采用单因素分析和多因素Logistic回归分析,分析右美托咪啶联合水合氯醛镇静下行脑电图检查的癫痫患儿苏醒时间延长的危险因素。
结果
2
共纳入1 346例患儿,其中男性805例,女性541例,中位年龄6.03(4.42
8.56)岁。其中苏醒≤1 h组有986例,苏醒>1 h组有360例。单因素分析显示苏醒≤1 h组与苏醒>1 h组在年龄<1岁(0.8%
vs
2.2%
P
=0.046)、镇静次数≥3次(35.8%
vs
42.2%,
P
=0.031)、多种抗癫痫药(antiepileptic drugs,AEDs)治疗(25.5%
vs
36.9%,
P
<0.001)等指标上差异具有统计学意义。多因素Logistic回归分析显示,年龄<1岁(
OR
=2.943,95%
CI
:1.063~8.142
P
=0.034)
、镇静次数≥3次(
OR
=1.287,95%
CI
: 1.003~1.649
P
=0.047)和多种AEDs治疗(
OR
=1.718,95%
CI
: 1.325~2.223
P
<0.001)是苏醒时间延长的危险因素。
结论
2
年龄<1岁、镇静次数≥3次、接受多种AEDs治疗是癫痫患儿镇静苏醒时间延长的危险因素。
Objective
2
To analyze the risk factors for prolonged sedation recovery time in epileptic children.
Methods
2
A cross-sectional trial was conducted on the epileptic children who underwent electroencephalography (EEG) with oral administration of chloral hydrate and nasal dexmedetomidine for sedation in our hospital from November 2019 to December 2022. Their general information and sedation and medication data were collected. Prolonged sedation recovery time was defined as beyond the 75th percentile of awaking time
and then the children were divided into recovery time ≤1 h group and >1 h group. Univariate and multivariable logistic regression analyses were used to identify the risk factors for recovery time in these children.
Results
2
A total of 1 346 children were enrolled
including 805 males and 541 females
with a median age of 6.03 (4.42
8.56) years. There were 986 children assigned into recovery time ≤1 h group and 360 ones into recovery time
>
1 h group. Univariate analysis showed that significant differences were observed in the proportions of age
<
1 year (0.8%
vs
2.2%
P
=0.046)
sedation more than 3 times (35.8%
vs
42.2%
P
=0.031)
and treated with multiple antiepileptic drugs (AEDs) (25.5%
vs
36.9%
P
<
0.001) between the 2 groups. Multivariable logistic regression analysis indicated that age
<
1 year (
OR
=2.943
95%
CI
: 1.063~8.142
P
=0.034)
sedation times ≥3 (
OR
=1.287
95%
CI
: 1.003~1.649
P
=0.047) and multiple use of AEDs (
OR
=1.718
95%
CI
: 1.325~2.223
P
<
0.001) were risk factors for prolonged recovery time.
Conclusion
2
Age < 1 year
sedation times ≥3 and multiple use of AEDs are risk factors for prolonged sedation recovery time in epileptic children undergoing EEG after oral chloral hydrate and nasal dexmedetomidine.
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