eISSN 2097-6046
ISSN 2096-7446
CN 10-1655/R
Responsible Institution：China Association for Science and Technology
Sponsor：Chinese Nursing Association
中华急危重症护理杂志

Chinese Journal of Emergency and Critical Care Nursing >

2022 , Vol. 3 >Issue 1: 24 - 29

DOI: https://doi.org/10.3761/j.issn.2096-7446.2022.01.003

Special Planning—Nursing Care of Critically Ill Children and Newborns

Construction and validation of a prediction model for iatrogenic withdrawal syndrome in critically ill children

  • HUANG Hun ,
  • CHUN Xiao ,
  • MA Jingxiang ,
  • ZHONG Yongmei ,
  • ZHAI Zhihui ,
  • LI Ming
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Received date: 2021-08-27

  Online published: 2022-01-17

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Abstract

Objective To investigate the risk factors and establish a risk prediction model for iatrogenic withdrawal syndrome in critically ill children. Methods The convenient sampling was used to enroll children with analgesic and sedative drugs in the pediatric intensive care unit of a third-level A children's specialist hospital in Guangzhou from June 2019 to February 2020. The univariate analysis and multivariate logistic regression analysis were used to analyze risk factors of iatrogenic withdrawal syndrome,and the prediction model was established. Results A total of 110 critically ill children were enrolled in this study. The incidence of iatrogenic withdrawal syndrome in critically ill children was 42.7%. Multivariate logistic regression analysis showed that the independent risk factors of iatrogenic withdrawal syndrome were daily cumulative dose of midazolam and fentanyl. The area under the ROC curve was 0.761[95%CI（0.671,0.851）],and the test result of Hosmer-Lemeshow showed that P=0.662 and the test result of Omnibus showed that P< 0.001. Conclusion The incidence of iatrogenic withdrawal syndrome in critically ill children is in high level. The children with higher daily cumulative dose of midazolam and fentanylmay have higher risk of iatrogenic withdrawal syndrome. The prediction model constructed in this study can help medical staff to identify iatrogenic withdrawal syndrome early and manage analgesia and sedation scientifically and effectively.

Key words： Intensive Care Units; Pediatric; Substance Withdrawal Syndrome; Risk Factors; Forecasting; Critical Care Nursing

Cite this article

HUANG Hun , CHUN Xiao , MA Jingxiang , ZHONG Yongmei , ZHAI Zhihui , LI Ming . Construction and validation of a prediction model for iatrogenic withdrawal syndrome in critically ill children[J]. Chinese Journal of Emergency and Critical Care Nursing, 2022 , 3(1) : 24 -29 . DOI: 10.3761/j.issn.2096-7446.2022.01.003

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