Hooman Kamel, Ava L Liberman, Alexander E Merkler, Neal S Parikh, Saad A Mir, Alan Z Segal, Cenai Zhang, Iván Díaz, Babak B Navi
{"title":"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。","authors":"Hooman Kamel, Ava L Liberman, Alexander E Merkler, Neal S Parikh, Saad A Mir, Alan Z Segal, Cenai Zhang, Iván Díaz, Babak B Navi","doi":"10.1161/CIRCOUTCOMES.122.009215","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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 <i>International Classification of Diseases</i>, <i>Tenth Revision</i> (<i>ICD-10</i>) diagnosis code, but this code's validity remains unclear.</p><p><strong>Methods: </strong>We examined the concordance of <i>ICD-10</i> 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 <i>ICD-10</i>, through 2018, the latest year in our registry. The NIHSS score (range, 0-42) recorded in our registry served as the reference gold standard. <i>ICD-10</i> 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 <i>ICD-10</i> NIHSS scores. We used ANOVA to examine the proportion of variation (<i>R<sup>2</sup></i>) in the true (registry) NIHSS score that was explained by the <i>ICD-10</i> NIHSS score.</p><p><strong>Results: </strong>Among 1357 patients, 395 (29.1%) had an <i>ICD-10</i> 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 <i>ICD-10</i> NIHSS score. In an ANOVA model, the <i>ICD-10</i> NIHSS score explained almost all the variation in the registry NIHSS score (<i>R</i><sup>2</sup>=0.88). Fewer than 10% of patients had a large discordance (≥4 points) between their <i>ICD-10</i> and registry NIHSS scores.</p><p><strong>Conclusions: </strong>When present, <i>ICD-10</i> codes representing NIHSS scores had excellent agreement with NIHSS scores recorded in our stroke registry. However, <i>ICD-10</i> NIHSS scores were often missing, especially in less severe strokes, limiting the reliability of these codes for risk adjustment.</p>","PeriodicalId":10301,"journal":{"name":"Circulation. Cardiovascular Quality and Outcomes","volume":"16 3","pages":"e009215"},"PeriodicalIF":6.9000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10237010/pdf/","citationCount":"0","resultStr":"{\"title\":\"Validation of the <i>International Classification of Diseases, Tenth Revision</i> Code for the National Institutes of Health Stroke Scale Score.\",\"authors\":\"Hooman Kamel, Ava L Liberman, Alexander E Merkler, Neal S Parikh, Saad A Mir, Alan Z Segal, Cenai Zhang, Iván Díaz, Babak B Navi\",\"doi\":\"10.1161/CIRCOUTCOMES.122.009215\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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 <i>International Classification of Diseases</i>, <i>Tenth Revision</i> (<i>ICD-10</i>) diagnosis code, but this code's validity remains unclear.</p><p><strong>Methods: </strong>We examined the concordance of <i>ICD-10</i> 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 <i>ICD-10</i>, through 2018, the latest year in our registry. The NIHSS score (range, 0-42) recorded in our registry served as the reference gold standard. <i>ICD-10</i> 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 <i>ICD-10</i> NIHSS scores. We used ANOVA to examine the proportion of variation (<i>R<sup>2</sup></i>) in the true (registry) NIHSS score that was explained by the <i>ICD-10</i> NIHSS score.</p><p><strong>Results: </strong>Among 1357 patients, 395 (29.1%) had an <i>ICD-10</i> 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 <i>ICD-10</i> NIHSS score. In an ANOVA model, the <i>ICD-10</i> NIHSS score explained almost all the variation in the registry NIHSS score (<i>R</i><sup>2</sup>=0.88). Fewer than 10% of patients had a large discordance (≥4 points) between their <i>ICD-10</i> and registry NIHSS scores.</p><p><strong>Conclusions: </strong>When present, <i>ICD-10</i> codes representing NIHSS scores had excellent agreement with NIHSS scores recorded in our stroke registry. However, <i>ICD-10</i> NIHSS scores were often missing, especially in less severe strokes, limiting the reliability of these codes for risk adjustment.</p>\",\"PeriodicalId\":10301,\"journal\":{\"name\":\"Circulation. Cardiovascular Quality and Outcomes\",\"volume\":\"16 3\",\"pages\":\"e009215\"},\"PeriodicalIF\":6.9000,\"publicationDate\":\"2023-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10237010/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Circulation. Cardiovascular Quality and Outcomes\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1161/CIRCOUTCOMES.122.009215\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/3/2 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Circulation. Cardiovascular Quality and Outcomes","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1161/CIRCOUTCOMES.122.009215","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/3/2 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
Validation of the International Classification of Diseases, Tenth Revision Code for the National Institutes of Health Stroke Scale Score.
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.
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.