Article(id=1286995056678649960, tenantId=1146029695717560320, journalId=1285991164901855263, issueId=1286995055894315111, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1001-1242.2026.07.006, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1763568000000, receivedDateStr=2025-11-20, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1784773132723, onlineDateStr=2026-07-23, pubDate=1784044800000, pubDateStr=2026-07-15, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1784773132723, onlineIssueDateStr=2026-07-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1784773132723, creator=13701087609, updateTime=1784773132723, updator=13701087609, issue=Issue{id=1286995055894315111, tenantId=1146029695717560320, journalId=1285991164901855263, year='2026', volume='41', issue='7', pageStart='1009', pageEnd='1183', issueExtLink='null', onlineDate='null', pubDate='1784044800000', pubDateStr='2026-07-15', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1784773132536, creator='13701087609', updateTime=1784773687037, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1286997381702979733, tenantId=1146029695717560320, journalId=1285991164901855263, issueId=1286995055894315111, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1286997381702979734, tenantId=1146029695717560320, journalId=1285991164901855263, issueId=1286995055894315111, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=1056, endPage=1063, ext={EN=ArticleExt(id=1286995056917725289, articleId=1286995056678649960, tenantId=1146029695717560320, journalId=1285991164901855263, language=EN, title=Application of the PREP2 algorithm in stratifying upper limb functional prognosis among Chinese stroke patients, columnId=null, journalTitle=Chinese Journal of Rehabilitation Medicine, columnName=null, runingTitle=null, highlight=null, articleAbstract=
Objective: To investigate the value of the predict recovery potential (PREP) 2 algorithm for prognostic stratification in the acute phase of stroke and to longitudinally analyze functional recovery trajectories across different prognostic subgroups in a Chinese stroke population.
Method: In this prospective longitudinal study, 65 stroke patients admitted to the First Affiliated Hospital of Wenzhou Medical University within 3 days of onset between March 2023 and January 2024 were enrolled. The Shoulder Abduction and Finger Extension (SAFE) score was assessed within 3 days post-stroke, and transcranial magnetic stimulation-motor evoked potential (TMS-MEP) assessment was performed within 10 days (T1) for prognostic stratification. Prognostic stratification was subsequently conducted using the PREP2 algorithm. Functional assessments, including the upper limb Fugl-Meyer assessment (UE-FMA), national institutes of health stroke scale (NIHSS), and modified Barthel index (MBI), were conducted at T1, 1 month (T2), and 3 months (T3) post-stroke. All patients received standardized comprehensive rehabilitation therapy.
Result: The PREP2-predicted stratification showed agreement with the 3-month outcome levels defined by UE-FMA recovery rate (weighted Kappa=0.785, P<0.001). Repeated-measures ANOVA revealed significant main effects of time and significant time-by-stratification interaction effects for both UE-FMA and MBI scores (P<0.001), indicating distinct functional recovery trajectories among the prognostic subgroups. Multiple linear regression identified the SAFE score (β=0.407, P<0.001) and MEP status (β=0.304, P<0.001) as independent positive predictors of UE-FMA scores at T3, whereas age (β=-0.181, P<0.001) and NIHSS score at T1 (β=-0.205, P<0.001) were negative predictors.
Conclusion: Under real-world clinical conditions in China, the application of the PREP2 algorithm in the early post-stroke phase (within 10 days) enables effective stratification to distinguish patient subgroups with different recovery trends.
, authors=Fengyun YU
1, Jiancang YU
1, Suzhen YE
1, authorsList=Fengyun YU, Jiancang YU, Suzhen YE, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1286995057286824043, articleId=1286995056678649960, tenantId=1146029695717560320, journalId=1285991164901855263, language=CN, title=预测恢复潜力2算法在中国卒中患者上肢功能预后分层中的应用, columnId=1286995057014194282, journalTitle=中国康复医学杂志, columnName=临床研究, runingTitle=null, highlight=null, articleAbstract=
目的： 探讨预测恢复潜力（PREP）2算法整合至中国脑卒中临床路径后，对急性期上肢功能预后分层的价值，并纵向分析不同亚组功能恢复情况。
方法： 采用前瞻性纵向研究设计，选取2023年3月—2024年1月在温州医科大学附属第一医院住院期间发病3天内的脑卒中患者65例，在发病3天内完成SAFE评分，发病10天内（T1）进行TMS-MEP评估，根据评估结果参考PREP2算法进行预后分层。分别在T1、发病后1个月（T2）及3个月（T3）时采用上肢Fugl-Meyer评分量表（UE-FMA）、美国国立卫生研究院卒中量表（NIHSS）及改良Barthel指数（MBI）进行评估。所有患者均接受标准化的综合康复治疗。
结果： PREP2预测分层与基于UE-FMA恢复率定义的3个月结局等级具有一致性（加权Kappa=0.785，P<0.001）。重复测量方差分析显示，UE-FMA和MBI评分的时间主效应及时间×分层的交互效应均显著（P<0.001），表明不同分层组的功能恢复轨迹存在显著差异。多元线性回归显示，控制T1时UE-FMA后，SAFE评分（β=0.407，P<0.001）与MEP状态（β=0.304，P<0.001）仍是T3时UE-FMA评分的独立正向预测因子，年龄（β=-0.181，P<0.001）与T1时NI-HSS评分（β=-0.205，P<0.001）为负向预测因子。
结论： 在中国临床现实条件下，于发病早期（10天内）应用PREP2算法，其分层结果能用于有效区分不同恢复趋势的患者亚组。
, authors=俞风云
1, 余见苍
1, 叶素贞
1, 徐乐义
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