{"title":"开发和验证卒中后认知障碍的特定领域临床预测模型","authors":"Andrea Kusec, Kym IE Snell, Nele Demeyere","doi":"10.1101/2024.09.06.24313196","DOIUrl":null,"url":null,"abstract":"<strong>Background</strong> Post-stroke cognitive impairment (PSCI) is highly prevalent across multiple cognitive domains. Individualised PSCI prognosis has mainly been researched using global cognitive outcomes. Here, we develop and externally validate clinical prediction models for overall and domain-specific PSCI, including language, memory, attention, executive function, numeracy, and praxis.","PeriodicalId":501367,"journal":{"name":"medRxiv - Neurology","volume":"98 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development and validation of domain-specific clinical prediction models of post-stroke cognitive impairment\",\"authors\":\"Andrea Kusec, Kym IE Snell, Nele Demeyere\",\"doi\":\"10.1101/2024.09.06.24313196\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<strong>Background</strong> Post-stroke cognitive impairment (PSCI) is highly prevalent across multiple cognitive domains. Individualised PSCI prognosis has mainly been researched using global cognitive outcomes. Here, we develop and externally validate clinical prediction models for overall and domain-specific PSCI, including language, memory, attention, executive function, numeracy, and praxis.\",\"PeriodicalId\":501367,\"journal\":{\"name\":\"medRxiv - Neurology\",\"volume\":\"98 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"medRxiv - Neurology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1101/2024.09.06.24313196\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv - Neurology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.09.06.24313196","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development and validation of domain-specific clinical prediction models of post-stroke cognitive impairment
Background Post-stroke cognitive impairment (PSCI) is highly prevalent across multiple cognitive domains. Individualised PSCI prognosis has mainly been researched using global cognitive outcomes. Here, we develop and externally validate clinical prediction models for overall and domain-specific PSCI, including language, memory, attention, executive function, numeracy, and praxis.
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