Analysis on the training effect of criteria and practical guidance for determination of brain death: evoked potentials

Chinese Journal of Contemporary Neurology and Neurosurgery

卷:15

Meng-di JIANG¹  Hong YE¹  Yun-zhou ZHANG¹  Dai-quan GAO¹  Yan ZHANG¹  Gang LIU¹  Lin-lin FAN¹  Ying-ying SU¹  Wei-bi CHEN¹  Yi-fei LIU¹ 

[1] Neurocritical Care Unit, Xuanwu Hospital, Capital Medical University, Beijing 100053, China;

关键词: Brain death;    Evoked potentials, somatosensory;    Reference standards;    Training (not in MeSH);   

DOI  :  

来源: DOAJ

【 摘 要 】

Objective To analyze the training results of short-latencysomatosensory-evoked potential (SLSEP) for brain death determination and toimprove the training program.Methods A total of 101 traineesreceived theoretical training, simulation skills training, bedside skillstraining and test analysis for SLSEP in brain death determination. Thecomposition of trainees was analyzed and the error rates of 6 knowledge pointswere calculated. Univariate and multivariate backward Logistic regressionanalyses were used to analyze the influence of factors including sex, age,specialty, professional category, professional qualification and hospital level,on the error rates.Results Among them, trainees of 30-49years old occupied 76.24% (77/101), most of them were from third grade, grade Ahospitals (98.02%, 99/101), and 78 trainees (77.23%) were from Department ofNeurology. There were 82 clinicians (81.19%), 31 (30.69%) had senior certificateand 42 (41.58%) had intermediate certificate. Total error rate of 6 knowledgepoints was 4.50% (91/2020). Of the 6 knowledge points, the error rate ofpitfalls was the highest (9.41%, 19/202), followed by result determination(5.94% , 12/202), recording techniques (4.75% , 24/505), procedures (3.96%,32/808), sequence of confirmatory tests (1.98%, 2/101) and environmentalconditions (0.99%, 2/202). Univariate and multivariate Logistic regressionanalyses showed that age (OR = 1.566, 95% CI: 1.116-2.197; P =0.009) and professional qualification (OR = 1.669, 95% CI: 1.163-2.397;P = 0.005) were independent risk factors associated with high errorrates. Conclusions The differences between brain deathdetermination and routine check of SLSEP should be paid more attention toimprove the quality of determination for brain death by SLSEP.

 

	DOI: 10.3969/j.issn.1672-6731.2015.12.007

【 授权许可】

Unknown