Apurva Tomar, Prateek K Panda, Aman Elwadhi, Lokesh K Tiwari, Indar K Sharawat
{"title":"需要机械通气的儿童神经预后预测评分的开发和验证:NOPS-VC评分。","authors":"Apurva Tomar, Prateek K Panda, Aman Elwadhi, Lokesh K Tiwari, Indar K Sharawat","doi":"10.5005/jp-journals-10071-25013","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and aims: </strong>Currently, no validated scoring system exists to predict neurological outcomes in mechanically ventilated children. We aimed to develop and validate such a score in this population.</p><p><strong>Patients and methods: </strong>We developed the NOPS-VC score, comprising eight items. Each parameter is rated on a Likert scale, where a minimum score of 1 indicates no significant risk, and a maximum score of 3 represents the highest risk for poor neurological outcomes. The face and content validity of the score were assessed using the content validity index (CVI) and content validity ratio. Neurological outcomes were determined at discharge and at 6 months of follow-up. Construct validity was assessed by correlating the NOPS-VC score with the Pediatric Cerebral Performance Category score, functional status scale (FSS), intelligence quotient (IQ), Vineland Adaptive Behavior Scale, gross motor function measure (GMFM), child behavior checklist, and pediatric quality of life inventory.</p><p><strong>Results: </strong>Among 170 participants, 87 had good functional outcomes. The scale-level content validity index (S-CVI/UA) was 0.95, and S-CVI/Ave was 0.9, indicating excellent content validity. The one-factor model demonstrated a good fit, with all item loadings exceeding 0.7 [Tucker-Lewis index (TLI) = 0.95, comparative fit index (CFI) = 0.96, root mean squared error of approximation (RMSEA) = 0.067 (0.059-0.074)]. The area under the receiver operating characteristic (ROC) curve for the maximum and baseline NOPS-VC scores was 0.92 and 0.91, respectively. The optimal cutoff value for both scores was 18, with sensitivity/specificity of 82/97% for the maximum score and 80/97% for the baseline score. Construct validity showed strong correlations (<i>r</i> ≥ 0.70) with all parameters.</p><p><strong>Conclusion: </strong>The NOPS-VC score, when applied at the initiation of mechanical ventilation in critically ill children, demonstrates strong validity in predicting neurological outcomes at 6 months, with an optimal cutoff value of 18.</p><p><strong>How to cite this article: </strong>Tomar A, Panda PK, Elwadhi A, Tiwari LK, Sharawat IK. Development and Validation of a Neurological Outcome Prediction Score for Children Requiring Mechanical Ventilation: The NOPS-VC Score. Indian J Crit Care Med 2025;29(7):578-585.</p>","PeriodicalId":47664,"journal":{"name":"Indian Journal of Critical Care Medicine","volume":"29 7","pages":"578-585"},"PeriodicalIF":1.5000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12302245/pdf/","citationCount":"0","resultStr":"{\"title\":\"Development and Validation of a Neurological Outcome Prediction Score for Children Requiring Mechanical Ventilation: The NOPS-VC Score.\",\"authors\":\"Apurva Tomar, Prateek K Panda, Aman Elwadhi, Lokesh K Tiwari, Indar K Sharawat\",\"doi\":\"10.5005/jp-journals-10071-25013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background and aims: </strong>Currently, no validated scoring system exists to predict neurological outcomes in mechanically ventilated children. We aimed to develop and validate such a score in this population.</p><p><strong>Patients and methods: </strong>We developed the NOPS-VC score, comprising eight items. Each parameter is rated on a Likert scale, where a minimum score of 1 indicates no significant risk, and a maximum score of 3 represents the highest risk for poor neurological outcomes. The face and content validity of the score were assessed using the content validity index (CVI) and content validity ratio. Neurological outcomes were determined at discharge and at 6 months of follow-up. Construct validity was assessed by correlating the NOPS-VC score with the Pediatric Cerebral Performance Category score, functional status scale (FSS), intelligence quotient (IQ), Vineland Adaptive Behavior Scale, gross motor function measure (GMFM), child behavior checklist, and pediatric quality of life inventory.</p><p><strong>Results: </strong>Among 170 participants, 87 had good functional outcomes. The scale-level content validity index (S-CVI/UA) was 0.95, and S-CVI/Ave was 0.9, indicating excellent content validity. The one-factor model demonstrated a good fit, with all item loadings exceeding 0.7 [Tucker-Lewis index (TLI) = 0.95, comparative fit index (CFI) = 0.96, root mean squared error of approximation (RMSEA) = 0.067 (0.059-0.074)]. The area under the receiver operating characteristic (ROC) curve for the maximum and baseline NOPS-VC scores was 0.92 and 0.91, respectively. The optimal cutoff value for both scores was 18, with sensitivity/specificity of 82/97% for the maximum score and 80/97% for the baseline score. Construct validity showed strong correlations (<i>r</i> ≥ 0.70) with all parameters.</p><p><strong>Conclusion: </strong>The NOPS-VC score, when applied at the initiation of mechanical ventilation in critically ill children, demonstrates strong validity in predicting neurological outcomes at 6 months, with an optimal cutoff value of 18.</p><p><strong>How to cite this article: </strong>Tomar A, Panda PK, Elwadhi A, Tiwari LK, Sharawat IK. Development and Validation of a Neurological Outcome Prediction Score for Children Requiring Mechanical Ventilation: The NOPS-VC Score. Indian J Crit Care Med 2025;29(7):578-585.</p>\",\"PeriodicalId\":47664,\"journal\":{\"name\":\"Indian Journal of Critical Care Medicine\",\"volume\":\"29 7\",\"pages\":\"578-585\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2025-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12302245/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Indian Journal of Critical Care Medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5005/jp-journals-10071-25013\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/7/7 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"CRITICAL CARE MEDICINE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian Journal of Critical Care Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5005/jp-journals-10071-25013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/7/7 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"CRITICAL CARE MEDICINE","Score":null,"Total":0}
引用次数: 0
摘要
背景和目的:目前,尚无有效的评分系统来预测机械通气儿童的神经预后。我们的目标是在这一人群中开发和验证这样的评分。患者和方法:我们制定了NOPS-VC评分,包括8个项目。每个参数按李克特量表进行评分,最低分为1表示无显著风险,最高分为3表示神经预后不良的最高风险。采用内容效度指数(CVI)和内容效度比对评分的面效度和内容效度进行评估。在出院时和随访6个月时确定神经学预后。通过NOPS-VC评分与儿童脑功能分类评分、功能状态量表(FSS)、智商(IQ)、Vineland适应行为量表、大运动功能量表(GMFM)、儿童行为检查表和儿童生活质量量表的相关性来评估结构效度。结果:170例患者中,87例功能预后良好。量表级内容效度指数(S-CVI/UA)为0.95,S-CVI/Ave为0.9,表明内容效度极佳。单因素模型拟合良好,各项目负荷均超过0.7 [Tucker-Lewis指数= 0.95,比较拟合指数(CFI) = 0.96,近似均方根误差(RMSEA) = 0.067(0.059 ~ 0.074)]。受试者工作特征(ROC)曲线下NOPS-VC评分最大值和基线值分别为0.92和0.91。两种评分的最佳临界值均为18,最高评分的敏感性/特异性为82/97%,基线评分的敏感性/特异性为80/97%。构念效度与各参数呈强相关(r≥0.70)。结论:NOPS-VC评分在危重患儿机械通气开始时应用,对预测6个月时神经系统预后具有较强的有效性,最佳临界值为18。如何引用本文:Tomar A, Panda PK, Elwadhi A, Tiwari LK, Sharawat IK。需要机械通气的儿童神经预后预测评分的开发和验证:NOPS-VC评分。中华检验医学杂志;2015;29(7):578-585。
Development and Validation of a Neurological Outcome Prediction Score for Children Requiring Mechanical Ventilation: The NOPS-VC Score.
Background and aims: Currently, no validated scoring system exists to predict neurological outcomes in mechanically ventilated children. We aimed to develop and validate such a score in this population.
Patients and methods: We developed the NOPS-VC score, comprising eight items. Each parameter is rated on a Likert scale, where a minimum score of 1 indicates no significant risk, and a maximum score of 3 represents the highest risk for poor neurological outcomes. The face and content validity of the score were assessed using the content validity index (CVI) and content validity ratio. Neurological outcomes were determined at discharge and at 6 months of follow-up. Construct validity was assessed by correlating the NOPS-VC score with the Pediatric Cerebral Performance Category score, functional status scale (FSS), intelligence quotient (IQ), Vineland Adaptive Behavior Scale, gross motor function measure (GMFM), child behavior checklist, and pediatric quality of life inventory.
Results: Among 170 participants, 87 had good functional outcomes. The scale-level content validity index (S-CVI/UA) was 0.95, and S-CVI/Ave was 0.9, indicating excellent content validity. The one-factor model demonstrated a good fit, with all item loadings exceeding 0.7 [Tucker-Lewis index (TLI) = 0.95, comparative fit index (CFI) = 0.96, root mean squared error of approximation (RMSEA) = 0.067 (0.059-0.074)]. The area under the receiver operating characteristic (ROC) curve for the maximum and baseline NOPS-VC scores was 0.92 and 0.91, respectively. The optimal cutoff value for both scores was 18, with sensitivity/specificity of 82/97% for the maximum score and 80/97% for the baseline score. Construct validity showed strong correlations (r ≥ 0.70) with all parameters.
Conclusion: The NOPS-VC score, when applied at the initiation of mechanical ventilation in critically ill children, demonstrates strong validity in predicting neurological outcomes at 6 months, with an optimal cutoff value of 18.
How to cite this article: Tomar A, Panda PK, Elwadhi A, Tiwari LK, Sharawat IK. Development and Validation of a Neurological Outcome Prediction Score for Children Requiring Mechanical Ventilation: The NOPS-VC Score. Indian J Crit Care Med 2025;29(7):578-585.
期刊介绍:
Indian Journal of Critical Care Medicine (ISSN 0972-5229) is specialty periodical published under the auspices of Indian Society of Critical Care Medicine. Journal encourages research, education and dissemination of knowledge in the fields of critical and emergency medicine.