Gulati Sheffali, Aneja Satinder, Juneja Monica, Mukherjee Sharmila, Deshmukh Vaishali, Silberberg Donald, Bhutani Vinod K, Pinto Jennifer M, Durkin Maureen, Tudu Poma, Pandey Ravindra M, Nair M K C, Arora Narendra K
INCLEN TRUST International, New Delhi, India Correspondence to: Dr Narendra K Arora, Executive Director, The INCLEN Trust International, F1/5, Okhla Industrial Area Phase 1, New Delhi, India.
Indian Pediatr. 2014 Aug;51(8):613-9. doi: 10.1007/s13312-014-0463-3.
To develop and validate a diagnostic tool for use by primary care physicians for diagnosing neuro-motor impairment among 2-9 year old children in primary care settings.
Modified Delphi technique involving national (n=49) and international (n=6) experts was used for development of INDT-NMI. The tool was then validated through a cross sectional study.
Neurology specialty clinics of three tertiary care pediatric centers in New Delhi, India.
454 children aged 2-9 years [mean (SD) age: 60.4 (23.7) mo], selected through systematic random sampling, underwent assessment for identification and classification of neuromotor impairments (NMI).
All study subjects were first administered INDT-NMI (candidate test) by a trained physician followed by expert assessment for NMI and other neurodevelopment disorders (NDD) by team of two pediatric neurologists (Gold standard).
According to expert evaluation, 171 (37.8%) children had neuromotor impairments. There were four categories of subjects: NMI alone (n=66); NMI+other NDDs (n=105); Other NDDs without NMI (n=225) and 'Normal' group (n=58). Using expert evaluation as gold standard, overall sensitivity of the INDT-NMI was 75.4% and specificity was 86.8%. INDT-NMI helped graduate physicians to correctly classify 86.6% (112/129) children with NMI into different types (cerebral palsy, neuromotor diseases and other NMI). Graduate physicians assigned 40 children (8.8%) as 'indeterminate', 38 (95%) of whom had either NDD and/or NMI and thus merited referral. Misclassification of NMI occurred in those with mild changes in muscle tone, dystonia, or ataxia and associated NDDs.
Graduate primary care physicians with a structured short training can administer the new tool and diagnose NMI in 2-9 year old children with high validity. INDT-NMI requires further evaluation in actual primary care settings.
开发并验证一种供初级保健医生在初级保健环境中诊断2至9岁儿童神经运动障碍的诊断工具。
采用改良德尔菲技术,邀请国内(n = 49)和国际(n = 6)专家参与开发INDT-NMI。然后通过横断面研究对该工具进行验证。
印度新德里三家三级护理儿科中心的神经科专科诊所。
通过系统随机抽样选取454名2至9岁儿童[平均(标准差)年龄:60.4(23.7)个月],对其进行神经运动障碍(NMI)的识别和分类评估。
所有研究对象首先由一名经过培训的医生进行INDT-NMI(候选测试),随后由两名儿科神经科医生组成的团队对NMI和其他神经发育障碍(NDD)进行专家评估(金标准)。
根据专家评估,171名(37.8%)儿童存在神经运动障碍。有四类研究对象:仅患有NMI(n = 66);患有NMI + 其他NDD(n = 105);患有其他NDD但无NMI(n = 225)以及“正常”组(n = 58)。以专家评估作为金标准,INDT-NMI的总体敏感性为75.4%,特异性为86.8%。INDT-NMI帮助住院医生将86.6%(112/129)患有NMI的儿童正确分类为不同类型(脑瘫、神经运动疾病和其他NMI)。住院医生将40名儿童(8.8%)判定为“不确定”,其中38名(95%)患有NDD和/或NMI,因此值得转诊。NMI的错误分类发生在肌张力轻度改变、肌张力障碍或共济失调以及相关NDD的儿童中。
经过结构化短期培训的初级保健住院医生能够使用这种新工具,高效诊断2至9岁儿童的NMI。INDT-NMI需要在实际初级保健环境中进一步评估。