{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T16:16:19Z","timestamp":1777392979086,"version":"3.51.4"},"reference-count":44,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2024,9,3]],"date-time":"2024-09-03T00:00:00Z","timestamp":1725321600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Alzheimer\u2019s Disease"],"published-print":{"date-parts":[[2024,9,24]]},"abstract":"<jats:sec specific-use=\"heading-level-1\">\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>Identifying high-risk individuals with mild cognitive impairment (MCI) who are likely to progress to Alzheimer\u2019s disease (AD) is crucial for early intervention.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec specific-use=\"heading-level-1\">\n                    <jats:title>Objective:<\/jats:title>\n                    <jats:p>This study aimed to develop and validate a novel clinical score for personalized estimation of MCI-to-AD conversion.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec specific-use=\"heading-level-1\">\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>\n                      The data from the Alzheimer\u2019s Disease Neuroimaging Initiative (ADNI) study were analyzed. Two-thirds of the MCI patients were randomly assigned to a training cohort (\n                      <jats:italic>n<\/jats:italic>\n                      \u200a=\u200a478), and the remaining one-third formed the validation cohort (\n                      <jats:italic>n<\/jats:italic>\n                      \u200a=\u200a239). Multivariable logistic regression was performed to identify factors associated with MCI-to-AD progression within 4 years. A prediction score was developed based on the regression coefficients derived from the logistic model and tested in the validation cohort.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec specific-use=\"heading-level-1\">\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>\n                      A lipidomics-signature was obtained that showed a significant association with disease progression. The MCI conversion scoring system (ranged from 0 to 14 points), consisting of the lipidomics-signature and five other significant variables (Apolipoprotein\n                      <jats:italic>\u025b<\/jats:italic>\n                      4, Rey Auditory Verbal Learning Test immediate and delayed recall, Alzheimer\u2019s Disease Assessment Scale delayed recall test, Functional Activities Questionnaire, and cortical thickness of the AD signature), was constructed. Higher conversion scores were associated with a higher proportion of patients converting to AD. The scoring system demonstrated good discrimination and calibration in both the training cohort (AUC\u200a=\u200a0.879, p of Hosmer-Lemeshow test\u200a=\u200a0.597) and the validation cohort (AUC\u200a=\u200a0.915, p of Hosmer-Lemeshow test\u200a=\u200a0.991). The risk classification achieved excellent sensitivity (0.84) and specificity (0.75).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec specific-use=\"heading-level-1\">\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>The MCI-to-AD conversion score is a reliable tool for predicting the risk of disease progression in individuals with MCI.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3233\/jad-240532","type":"journal-article","created":{"date-parts":[[2024,9,3]],"date-time":"2024-09-03T11:35:45Z","timestamp":1725363345000},"page":"923-936","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["A Novel Score to Predict Individual Risk for Future Alzheimer\u2019s Disease: A Longitudinal Study of the ADNI Cohort"],"prefix":"10.1177","volume":"101","author":[{"given":"Hongxiu","family":"Guo","sequence":"first","affiliation":[{"name":"Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shangqi","family":"Sun","sequence":"additional","affiliation":[{"name":"Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of General Medicine, Binzhou Medical University Hospital, Binzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rong","family":"Ma","sequence":"additional","affiliation":[{"name":"Department of Pharmacology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cailin","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siyi","family":"Zheng","sequence":"additional","affiliation":[{"name":"Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiufeng","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gang","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"name":"for the Alzheimer\u2019s Disease Neuroimaging Initiative","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"name":"the Alzheimer\u2019s Disease Metabolomics Consortium","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2024,9,3]]},"reference":[{"key":"e_1_3_6_2_2","doi-asserted-by":"publisher","DOI":"10.1002\/alz.12638"},{"key":"e_1_3_6_3_2","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0000000000004826"},{"key":"e_1_3_6_4_2","doi-asserted-by":"publisher","DOI":"10.1159\/000354370"},{"key":"e_1_3_6_5_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-022-00632-7"},{"key":"e_1_3_6_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jalz.2016.12.015"},{"key":"e_1_3_6_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2958943"},{"key":"e_1_3_6_8_2","doi-asserted-by":"publisher","DOI":"10.1093\/brain\/awu176"},{"key":"e_1_3_6_9_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12264-013-1410-3"},{"key":"e_1_3_6_10_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.1002482"},{"key":"e_1_3_6_11_2","doi-asserted-by":"publisher","DOI":"10.3233\/JAD-201504"},{"key":"e_1_3_6_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jsbmb.2019.03.003"},{"key":"e_1_3_6_13_2","first-page":"e12008","article-title":"Plasma lipids as biomarkers for Alzheimer\u2019s disease: a systematic review","volume":"12","author":"Agarwal M","year":"2020","unstructured":"AgarwalM and KhanS. 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