在头痛发作6 h内行CT扫描对蛛网膜下腔出血的诊断敏感性:前瞻性队列研究

Sensitivity of computed tomography performed within six hours of onset of headache for diagnosis of subarachnoid haemorrhage: prospective cohort study
作者:Perry Stiell Sivilotti 【View at publisher】 【全球专家评论】
期刊: BMJ2012年1月期卷 专家评级:★★★ 循证评级:A

Objective:To measure the sensitivity of modern third generation computed tomography in emergency patients being evaluated for possible subarachnoid haemorrhage, especially when carried out within six hours of headache onset. Design:Prospective cohort study. Setting:11 tertiary care emergency departments across Canada, 2000-9. Participants:Neurologically intact adults with a new acute headache peaking in intensity within one hour of onset in whom a computed tomography was ordered by the treating physician to rule out subarachnoid haemorrhage. Main Outcome Measures:Subarachnoid haemorrhage was defined by any of subarachnoid blood on computed tomography, xanthochromia in cerebrospinal fluid, or any red blood cells in final tube of cerebrospinal fluid collected with positive results on cerebral angiography. Results:Of the 3132 patients enrolled (mean age 45.1, 2571 (82.1%) with worst headache ever), 240 had subarachnoid haemorrhage (7.7%). The sensitivity of computed tomography overall for subarachnoid haemorrhage was 92.9% (95% confidence interval 89.0% to 95.5%), the specificity was 100% (99.9% to 100%), the negative predictive value was 99.4% (99.1% to 99.6%), and the positive predictive value was 100% (98.3% to 100%). For the 953 patients scanned within six hours of headache onset, all 121 patients with subarachnoid haemorrhage were identified by computed tomography, yielding a sensitivity of 100% (97.0% to 100.0%), specificity of 100% (99.5% to 100%), negative predictive value of 100% (99.5% to 100%), and positive predictive value of 100% (96.9% to 100%). Conclusion:Modern third generation computed tomography is extremely sensitive in identifying subarachnoid haemorrhage when it is carried out within six hours of headache onset and interpreted by a qualified radiologist.

学科代码:神经病学 麻醉与疼痛治疗   关键词:
来源: 国际医学期刊
国际医学期刊介绍:信息来自于Pubmed,包括超过2100万出处生物医学文献来自Medline、生命科学期刊、在线书籍。引用内容链接到全文内容、公共医学中心和出版商的网站。 马上访问国际医学期刊网站http://www.pubmed.com/
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