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新生儿重症监护病房意外拔管的发生率及危险因素。

Incidence and risk factors of accidental extubation in a neonatal intensive care unit.

机构信息

Department of Pediatrics, School of Medicine, Universidade Estadual de Campinas (FCM/UNICAMP), Campinas, SP, Brazil.

出版信息

J Pediatr (Rio J). 2010 May-Jun;86(3):189-95. doi: 10.2223/JPED.1999. Epub 2010 Apr 16.

DOI:10.2223/JPED.1999
PMID:20401427
Abstract

OBJECTIVE

To determine the incidence and risk factors of accidental extubation (AE) in a tertiary neonatal intensive care unit.

METHODS

A prospective cohort study was conducted to determine AE incidence density per 100 patient-days, during a 23-month period, in 222 newborns receiving assisted ventilation (AV). Logistic regression analysis was used to determine risk factors for AE. The presence of a cyclical pattern in extubation rates, according to the variables of interest, was investigated by Cosinor analysis.

RESULTS

The mean AE rate was 5.34/100 patient-days ventilated. AE-associated predictive variables were: subsequent use of the oral and nasal routes during AV [relative risk (RR) = 4.73; 95% confidence interval (95%CI) 1.92-11.60], AV duration (per day, RR = 1.03; 95%CI 1.02-1.04), and number of patient-days ventilated (RR = 1.01; 95%CI 1.01-1.02). According to the adjusted multiple regression analysis, total AV time was the only independent predictor of AE in this sample (RR = 1.02; 95%CI 1.01-1.03). AV time of 10.5 days showed an accuracy of 0.79 (95%CI 0.71-0.87) for the occurrence of AE. Cosinor analysis showed significant periodicity in overall AE rate and in the number of patient-days ventilated. There was a significant correlation between the number of patient-days ventilated and AE frequency.

CONCLUSION

Mean AE density was 5.34/100 patient-days ventilated. AV duration was the only independent predictor of AE. The best accuracy for AE occurrence was achieved at 10.5 days of AV duration.

摘要

目的

确定三级新生儿重症监护病房(NICU)中意外拔管(AE)的发生率和危险因素。

方法

对 222 名接受辅助通气(AV)的新生儿进行前瞻性队列研究,以确定 23 个月期间每 100 个患者日的 AE 发生率密度。使用逻辑回归分析确定 AE 的危险因素。通过余弦分析研究根据感兴趣的变量,拔管率的周期性模式的存在。

结果

平均 AE 发生率为 5.34/100 个患者日通气。AE 相关的预测变量为:AV 期间随后使用口腔和鼻腔途径(相对风险(RR)=4.73;95%置信区间(95%CI)1.92-11.60),AV 持续时间(每天,RR=1.03;95%CI 1.02-1.04)和通气患者天数(RR=1.01;95%CI 1.01-1.02)。根据调整后的多元回归分析,总 AV 时间是该样本中 AE 的唯一独立预测因素(RR=1.02;95%CI 1.01-1.03)。AV 时间为 10.5 天,AE 发生率的准确率为 0.79(95%CI 0.71-0.87)。余弦分析显示 AE 总发生率和通气患者天数均存在显著的周期性。通气患者天数与 AE 频率之间存在显著相关性。

结论

平均 AE 密度为 5.34/100 个患者日通气。AV 持续时间是 AE 的唯一独立预测因素。AV 持续时间为 10.5 天时 AE 发生的准确率最高。

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