Babak Haji, Quanwu Zhang, Amir Abbas Tahami Monfared
{"title":"弥合差距:阿尔茨海默病和相关痴呆的CDR-SB和MoCA评分转换框架","authors":"Babak Haji, Quanwu Zhang, Amir Abbas Tahami Monfared","doi":"10.1016/j.tjpad.2025.100226","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Accurate assessment of cognitive impairment is essential to effective Alzheimer's disease (AD) management and research. However, the absence of validated methods to translate scores between widely used instruments-such as the Clinical Dementia Rating Scale Sum of Boxes (CDR-SB) in trials and the Montreal Cognitive Assessment (MoCA) in clinical practice-poses a significant barrier. This limits data harmonization, impedes cross-study comparability, and complicates the integration of clinical and research evidence. Bridging this gap is critical for consistent staging, longitudinal monitoring, and data-driven decision-making in AD and related dementias.</p><p><strong>Objectives: </strong>To develop and validate bidirectional score conversion tables between CDR-SB and MoCA using a large, diverse cohort spanning the full spectrum of cognitive function.</p><p><strong>Design: </strong>Retrospective, cross-sectional analysis using equipercentile equating with log-linear smoothing. Optimal smoothing parameters were selected by minimizing mean squared error, Akaike Information Criterion, and Bayesian Information Criterion. Concordance was assessed using Spearman's rank correlation and Bland-Altman plots.</p><p><strong>Setting: </strong>National Alzheimer's Coordinating Center (NACC), aggregating standardized assessments from 35 U.S.-based Alzheimer's Disease Research Centers.</p><p><strong>Participants: </strong>23,717 individuals (59,871 visits) with same-day CDR-SB and MoCA assessments from January 2015 to September 2024, spanning normal cognition, mild cognitive impairment (MCI), and dementia.</p><p><strong>Intervention: </strong>None; this was a secondary analysis of existing data.</p><p><strong>Measurements: </strong>Primary measures included CDR-SB (0-18; higher = greater impairment) and MoCA (0-30; higher = better cognition). Bidirectional crosswalk tables were derived using equipercentile equating.</p><p><strong>Results: </strong>CDR-SB and MoCA scores showed strong inverse correlation (Spearman's ρ = -0.68; p < 0.001). Crosswalk tables demonstrated good agreement across the cognitive spectrum and performed consistently in the full cohort and an AD-specific subgroup.</p><p><strong>Conclusions: </strong>This study provides the first validated, bidirectional CDR-SB-MoCA crosswalk, supporting data harmonization and consistent interpretation of cognitive severity across research and clinical settings.</p>","PeriodicalId":22711,"journal":{"name":"The Journal of Prevention of Alzheimer's Disease","volume":" ","pages":"100226"},"PeriodicalIF":4.3000,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bridging the gap: A conversion framework for CDR-SB and MoCA scores in Alzheimer's disease and related dementia.\",\"authors\":\"Babak Haji, Quanwu Zhang, Amir Abbas Tahami Monfared\",\"doi\":\"10.1016/j.tjpad.2025.100226\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Accurate assessment of cognitive impairment is essential to effective Alzheimer's disease (AD) management and research. However, the absence of validated methods to translate scores between widely used instruments-such as the Clinical Dementia Rating Scale Sum of Boxes (CDR-SB) in trials and the Montreal Cognitive Assessment (MoCA) in clinical practice-poses a significant barrier. This limits data harmonization, impedes cross-study comparability, and complicates the integration of clinical and research evidence. Bridging this gap is critical for consistent staging, longitudinal monitoring, and data-driven decision-making in AD and related dementias.</p><p><strong>Objectives: </strong>To develop and validate bidirectional score conversion tables between CDR-SB and MoCA using a large, diverse cohort spanning the full spectrum of cognitive function.</p><p><strong>Design: </strong>Retrospective, cross-sectional analysis using equipercentile equating with log-linear smoothing. Optimal smoothing parameters were selected by minimizing mean squared error, Akaike Information Criterion, and Bayesian Information Criterion. Concordance was assessed using Spearman's rank correlation and Bland-Altman plots.</p><p><strong>Setting: </strong>National Alzheimer's Coordinating Center (NACC), aggregating standardized assessments from 35 U.S.-based Alzheimer's Disease Research Centers.</p><p><strong>Participants: </strong>23,717 individuals (59,871 visits) with same-day CDR-SB and MoCA assessments from January 2015 to September 2024, spanning normal cognition, mild cognitive impairment (MCI), and dementia.</p><p><strong>Intervention: </strong>None; this was a secondary analysis of existing data.</p><p><strong>Measurements: </strong>Primary measures included CDR-SB (0-18; higher = greater impairment) and MoCA (0-30; higher = better cognition). Bidirectional crosswalk tables were derived using equipercentile equating.</p><p><strong>Results: </strong>CDR-SB and MoCA scores showed strong inverse correlation (Spearman's ρ = -0.68; p < 0.001). Crosswalk tables demonstrated good agreement across the cognitive spectrum and performed consistently in the full cohort and an AD-specific subgroup.</p><p><strong>Conclusions: </strong>This study provides the first validated, bidirectional CDR-SB-MoCA crosswalk, supporting data harmonization and consistent interpretation of cognitive severity across research and clinical settings.</p>\",\"PeriodicalId\":22711,\"journal\":{\"name\":\"The Journal of Prevention of Alzheimer's Disease\",\"volume\":\" \",\"pages\":\"100226\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Journal of Prevention of Alzheimer's Disease\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.tjpad.2025.100226\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Prevention of Alzheimer's Disease","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.tjpad.2025.100226","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
Bridging the gap: A conversion framework for CDR-SB and MoCA scores in Alzheimer's disease and related dementia.
Background: Accurate assessment of cognitive impairment is essential to effective Alzheimer's disease (AD) management and research. However, the absence of validated methods to translate scores between widely used instruments-such as the Clinical Dementia Rating Scale Sum of Boxes (CDR-SB) in trials and the Montreal Cognitive Assessment (MoCA) in clinical practice-poses a significant barrier. This limits data harmonization, impedes cross-study comparability, and complicates the integration of clinical and research evidence. Bridging this gap is critical for consistent staging, longitudinal monitoring, and data-driven decision-making in AD and related dementias.
Objectives: To develop and validate bidirectional score conversion tables between CDR-SB and MoCA using a large, diverse cohort spanning the full spectrum of cognitive function.
Design: Retrospective, cross-sectional analysis using equipercentile equating with log-linear smoothing. Optimal smoothing parameters were selected by minimizing mean squared error, Akaike Information Criterion, and Bayesian Information Criterion. Concordance was assessed using Spearman's rank correlation and Bland-Altman plots.
Setting: National Alzheimer's Coordinating Center (NACC), aggregating standardized assessments from 35 U.S.-based Alzheimer's Disease Research Centers.
Participants: 23,717 individuals (59,871 visits) with same-day CDR-SB and MoCA assessments from January 2015 to September 2024, spanning normal cognition, mild cognitive impairment (MCI), and dementia.
Intervention: None; this was a secondary analysis of existing data.
Measurements: Primary measures included CDR-SB (0-18; higher = greater impairment) and MoCA (0-30; higher = better cognition). Bidirectional crosswalk tables were derived using equipercentile equating.
Results: CDR-SB and MoCA scores showed strong inverse correlation (Spearman's ρ = -0.68; p < 0.001). Crosswalk tables demonstrated good agreement across the cognitive spectrum and performed consistently in the full cohort and an AD-specific subgroup.
Conclusions: This study provides the first validated, bidirectional CDR-SB-MoCA crosswalk, supporting data harmonization and consistent interpretation of cognitive severity across research and clinical settings.
期刊介绍:
The JPAD Journal of Prevention of Alzheimer’Disease will publish reviews, original research articles and short reports to improve our knowledge in the field of Alzheimer prevention including: neurosciences, biomarkers, imaging, epidemiology, public health, physical cognitive exercise, nutrition, risk and protective factors, drug development, trials design, and heath economic outcomes.JPAD will publish also the meeting abstracts from Clinical Trial on Alzheimer Disease (CTAD) and will be distributed both in paper and online version worldwide.We hope that JPAD with your contribution will play a role in the development of Alzheimer prevention.