Validation of the International Classification of Diseases, Tenth Revision Code for the National Institutes of Health Stroke Scale Score.

IF 6.9 2区 医学
Hooman Kamel, Ava L Liberman, Alexander E Merkler, Neal S Parikh, Saad A Mir, Alan Z Segal, Cenai Zhang, Iván Díaz, Babak B Navi
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引用次数: 0

Abstract

Background: Administrative data can be useful for stroke research but have historically lacked data on stroke severity. Hospitals increasingly report the National Institutes of Health Stroke Scale (NIHSS) score using an International Classification of Diseases, Tenth Revision (ICD-10) diagnosis code, but this code's validity remains unclear.

Methods: We examined the concordance of ICD-10 NIHSS scores versus NIHSS scores recorded in CAESAR (Cornell Acute Stroke Academic Registry). We included all patients with acute ischemic stroke from October 1, 2015, when US hospitals transitioned to ICD-10, through 2018, the latest year in our registry. The NIHSS score (range, 0-42) recorded in our registry served as the reference gold standard. ICD-10 NIHSS scores were derived from hospital discharge diagnosis code R29.7xx, with the latter 2 digits representing the NIHSS score. Multiple logistic regression was used to explore factors associated with availability of ICD-10 NIHSS scores. We used ANOVA to examine the proportion of variation (R2) in the true (registry) NIHSS score that was explained by the ICD-10 NIHSS score.

Results: Among 1357 patients, 395 (29.1%) had an ICD-10 NIHSS score recorded. This proportion increased from 0% in 2015 to 46.5% in 2018. In a logistic regression model, only higher registry NIHSS score (odds ratio per point, 1.05 [95% CI, 1.03-1.07]) and cardioembolic stroke (odds ratio, 1.4 [95% CI, 1.0-2.0]) were associated with availability of the ICD-10 NIHSS score. In an ANOVA model, the ICD-10 NIHSS score explained almost all the variation in the registry NIHSS score (R2=0.88). Fewer than 10% of patients had a large discordance (≥4 points) between their ICD-10 and registry NIHSS scores.

Conclusions: When present, ICD-10 codes representing NIHSS scores had excellent agreement with NIHSS scores recorded in our stroke registry. However, ICD-10 NIHSS scores were often missing, especially in less severe strokes, limiting the reliability of these codes for risk adjustment.

验证美国国立卫生研究院中风量表评分的国际疾病分类第十次修订版代码。
背景:管理数据可用于卒中研究,但历来缺乏卒中严重程度的数据。医院越来越多地使用国际疾病分类第十版(ICD-10)诊断代码报告美国国立卫生研究院卒中量表(NIHSS)评分,但该代码的有效性仍不明确:我们研究了 ICD-10 NIHSS 评分与 CAESAR(康奈尔大学急性卒中学术登记处)记录的 NIHSS 评分的一致性。我们纳入了所有急性缺血性卒中患者,时间从 2015 年 10 月 1 日美国医院过渡到 ICD-10 到 2018 年,也就是我们注册表中最近的一年。我们登记处记录的 NIHSS 评分(范围为 0-42)作为参考金标准。ICD-10 NIHSS 评分来自医院出院诊断代码 R29.7xx,后两位数字代表 NIHSS 评分。我们采用多元逻辑回归法来探讨与ICD-10 NIHSS评分可用性相关的因素。我们使用方差分析来检验 ICD-10 NIHSS 评分所能解释的真实(登记处)NIHSS 评分的变化比例(R2):在1357名患者中,395人(29.1%)记录了ICD-10 NIHSS评分。这一比例从 2015 年的 0% 增加到 2018 年的 46.5%。在逻辑回归模型中,只有较高的登记 NIHSS 评分(每点的几率比为 1.05 [95% CI, 1.03-1.07])和心肌栓塞性卒中(几率比为 1.4 [95% CI, 1.0-2.0])与 ICD-10 NIHSS 评分的可用性相关。在方差分析模型中,ICD-10 NIHSS 评分几乎可以解释登记的 NIHSS 评分的所有变化(R2=0.88)。ICD-10和登记处NIHSS评分之间存在较大差异(≥4分)的患者不到10%:结论:代表 NIHSS 评分的 ICD-10 编码与卒中登记处记录的 NIHSS 评分非常一致。然而,ICD-10 NIHSS 评分经常缺失,尤其是在不太严重的卒中中,这限制了这些代码用于风险调整的可靠性。
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来源期刊
Circulation. Cardiovascular Quality and Outcomes
Circulation. Cardiovascular Quality and Outcomes Medicine-Cardiology and Cardiovascular Medicine
CiteScore
9.80
自引率
2.90%
发文量
357
期刊介绍: Circulation: Cardiovascular Quality and Outcomes, an American Heart Association journal, publishes articles related to improving cardiovascular health and health care. Content includes original research, reviews, and case studies relevant to clinical decision-making and healthcare policy. The online-only journal is dedicated to furthering the mission of promoting safe, effective, efficient, equitable, timely, and patient-centered care. Through its articles and contributions, the journal equips you with the knowledge you need to improve clinical care and population health, and allows you to engage in scholarly activities of consequence to the health of the public. Circulation: Cardiovascular Quality and Outcomes considers the following types of articles: Original Research Articles, Data Reports, Methods Papers, Cardiovascular Perspectives, Care Innovations, Novel Statistical Methods, Policy Briefs, Data Visualizations, and Caregiver or Patient Viewpoints.
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