Virtual Compared With In-Person Neurologic Examination Study.

IF 2.3 Q3 CLINICAL NEUROLOGY Neurology. Clinical practice Pub Date : 2024-12-01 Epub Date: 2024-08-16 DOI:10.1212/CPJ.0000000000200339
Lauren Hophing, Tiffany Tse, Nicole Naimer, Mario Masellis, Saira S Mirza, Aaron Izenberg, Houman Khosravani, Charles D Kassardjian, Sara B Mitchell
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Abstract

Background and objectives: The COVID-19 pandemic forced a shift to virtual care in several neurologic care settings. Little is known about the validity of the virtual neurologic examination (VNE) for clinical decision making when compared with the in-person neurologic examination (IPNE). The objective of this study was to investigate the utility of the VNE in arriving at an accurate localization and diagnosis in comparison with the traditional IPNE in an ambulatory outpatient setting.

Methods: A retrospective chart review of patients examined virtually and in-person within 4 months at outpatient general neurology and neuromuscular clinics from 2 tertiary academic care centers during the COVID-19 pandemic was conducted. The Cohen kappa coefficient was calculated to test agreement between virtual and in-person assessment results, and descriptive statistical methods were used to compare accuracy, localization, and diagnosis.

Results: A total of 81 patients met the inclusion criteria. Overall, there was fair agreement between VNE and IPNE (64% agreement, p = 0.003). Substantial agreement between VNE and IPNE was observed for gait abnormalities; moderate agreement for extraocular movements, facial weakness, dysarthria, fasciculation, and lower limb weakness; and fair agreement for bulk, upper limb weakness, and sensation. No agreement between VNE and IPNE was seen for hypokinetic or hyperkinetic movements and cerebellar signs. Compared with the IPNE, specificity of the VNE was 86% and sensitivity was 56%. Some cases demonstrated a consistent localization (44%) and diagnosis (57%) after virtual and in-person assessments. The localization was changed in 15% and refined in 41% of cases between visits. The diagnosis was changed in 14% and refined in 30% of cases.

Discussion: The high rates of agreement in detecting an abnormality on the VNE and IPNE for some maneuvers and resultant clinical impressions may support the validity of the VNE for initial consultation depending on the clinical scenario. The VNE seems to be a good surrogate evaluation compared with the IPNE for certain chief complaints. The low sensitivity suggests that a normal VNE should warrant further in-person clinical correlation, especially in the context of a highly concerning history. The IPNE is more sensitive in detecting subtle abnormalities on examination, and a low threshold should be used to bring a patient in for an IPNE if the VNE is normal in certain clinical contexts.

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虚拟与亲自神经系统检查对比研究
背景和目标:COVID-19 大流行迫使一些神经病学医疗机构转向虚拟医疗。人们对虚拟神经系统检查(VNE)与亲自神经系统检查(IPNE)相比在临床决策中的有效性知之甚少。本研究旨在调查在非住院门诊环境中,与传统的 IPNE 相比,VNE 在准确定位和诊断方面的效用:方法: 在 COVID-19 大流行期间,对两家三级学术护理中心的普通神经科和神经肌肉科门诊 4 个月内接受虚拟和面对面检查的患者进行了回顾性病历审查。计算科恩卡帕系数以检验虚拟评估结果与现场评估结果之间的一致性,并使用描述性统计方法比较准确性、定位和诊断:共有 81 名患者符合纳入标准。总体而言,虚拟神经网络与 IPNE 的一致性尚可(64% 的一致性,p = 0.003)。在步态异常方面,VNE 和 IPNE 的结果基本一致;在眼球外运动、面部无力、构音障碍、筋膜痉挛和下肢无力方面,二者的结果基本一致;在体积、上肢无力和感觉方面,二者的结果基本一致。VNE 和 IPNE 在运动过少或运动过多以及小脑体征方面不一致。与 IPNE 相比,VNE 的特异性为 86%,灵敏度为 56%。一些病例在经过虚拟和面对面评估后,其定位(44%)和诊断(57%)一致。15%的病例的定位发生了变化,41%的病例的定位得到了改进。有 14% 的病例改变了诊断,有 30% 的病例改进了诊断:讨论:VNE 和 IPNE 对某些操作的异常检测以及由此产生的临床印象的一致率很高,这可能支持根据临床情况将 VNE 用于初步会诊的有效性。就某些主诉而言,与 IPNE 相比,VNE 似乎是一种很好的替代评估方法。其灵敏度较低,这表明如果 VNE 正常,则应进一步进行面诊,尤其是在病史非常可疑的情况下。IPNE 在检测细微异常方面更为敏感,在某些临床情况下,如果 VNE 正常,则应使用较低的阈值让患者接受 IPNE 检查。
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来源期刊
Neurology. Clinical practice
Neurology. Clinical practice CLINICAL NEUROLOGY-
CiteScore
4.00
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发文量
77
期刊介绍: Neurology® Genetics is an online open access journal publishing peer-reviewed reports in the field of neurogenetics. The journal publishes original articles in all areas of neurogenetics including rare and common genetic variations, genotype-phenotype correlations, outlier phenotypes as a result of mutations in known disease genes, and genetic variations with a putative link to diseases. Articles include studies reporting on genetic disease risk, pharmacogenomics, and results of gene-based clinical trials (viral, ASO, etc.). Genetically engineered model systems are not a primary focus of Neurology® Genetics, but studies using model systems for treatment trials, including well-powered studies reporting negative results, are welcome.
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