Chen Patrick M, Meyer Dawn M, Claycomb Robert, Agrawal Kunal, Meyer Brett C
Department of Neurosciences, Stroke Center, University of California San Diego, San Diego, CA, USA.
Desert Regional Medical Center, Palm Springs, CA, USA.
Neurol Res Int. 2019 Feb 11;2019:2105670. doi: 10.1155/2019/2105670. eCollection 2019.
Stroke codes prompted by isolated encephalopathy often result in nonstroke final diagnoses but require intensive stroke center resources. We assessed the likelihood of "Encephalopathy only Stroke Codes (EoSC)" resulting in a true stroke (EoSC CVA+) final diagnosis. 3860 patients were analyzed in a prospective stroke code registry from 2004 to 2016. EoSC was defined using a standard and an exploratory definition. Definition 1 included EoSC patients as stroke codes where NIHSS was nonzero for LOC questions (questions la, 1b, and lc) but remainder of the NIHSS was zero. Definition 2 included the same definition but allowed symmetric pairings on motor questions (5a/5b, 6a/6b, or Question 4 scoring a 3). Groups were assessed for final diagnosis of stoke (EoSC CVA+) or not stroke (EoSC CVA-). EoSC accounted for 60/3860 (1.55%) of total stroke codes. EoSC CVA+ was found in 5/3860 (0.13%) of all stroke codes, 5/60 (8.33%) of EoSC stroke codes, and 5/1514 (0.33%) of all strokes. For Definition 2, EoSC accounted for 96/3860 (2.5%) of total stroke codes. EoSC CVA+ was found in 9/3860 (0.23%) of all stroke codes, 9/96 (9.38%) of EoSC stroke codes, and 9/1514 (0.59%) of all strokes. On multivariable logistic regression analysis, diabetes was the highest predictor of stroke (p=0.05). Encephalopathy only Stroke Codes only rarely result in cases with a true final diagnosis of stroke (EoSC CVA+), accounting for 0.1-0.2% of all stroke codes and 8-9% of EoSC stroke codes. This may have important significance for mobilization of limited acute stroke code resources in the future.
由孤立性脑病引发的卒中代码常常导致最终诊断并非卒中,但却需要卒中中心的大量资源。我们评估了“仅脑病卒中代码(EoSC)”导致真正卒中(EoSC CVA+)最终诊断的可能性。对2004年至2016年前瞻性卒中代码登记处的3860例患者进行了分析。EoSC使用标准定义和探索性定义来界定。定义1将EoSC患者定义为卒中代码,即美国国立卫生研究院卒中量表(NIHSS)中关于意识水平的问题(问题1a、1b和1c)得分不为零,但NIHSS其余部分得分为零。定义2包括相同定义,但允许运动问题的对称配对(5a/5b、6a/6b或问题4得分为3)。对各组进行卒中最终诊断(EoSC CVA+)或非卒中(EoSC CVA-)评估。EoSC占所有卒中代码的60/3860(1.55%)。在所有卒中代码中,5/3860(0.13%)为EoSC CVA+,在EoSC卒中代码中5/60(8.33%)为EoSC CVA+,在所有卒中中5/1514(0.33%)为EoSC CVA+。对于定义2,EoSC占所有卒中代码的96/3860(2.5%)。在所有卒中代码中,9/3860(0.23%)为EoSC CVA+,在EoSC卒中代码中9/96(9.38%)为EoSC CVA+,在所有卒中中9/1514(0.59%)为EoSC CVA+。多变量逻辑回归分析显示,糖尿病是卒中的最强预测因素(p=0.05)。仅脑病卒中代码很少导致真正的卒中最终诊断(EoSC CVA+),占所有卒中代码的0.1 - 0.2%,占EoSC卒中代码的8 - 9%。这可能对未来有限的急性卒中代码资源的调配具有重要意义。