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Mortality Outcomes in a Large Population with and without Covert Cerebrovascular Disease.
Clancy, Úna; Puttock, Eric J; Chen, Wansu; Whiteley, William; Vickery, Ellen M; Leung, Lester Y; Luetmer, Patrick H; Kallmes, David F; Fu, Sunyang; Zheng, Chengyi; Liu, Hongfang; Kent, David M.
Afiliación
  • Clancy Ú; Centre for Clinical Brain Sciences, Edinburgh Imaging, and UK Dementia Research Institute, University of Edinburgh, Edinburgh EH16 4SB, United Kingdom.
  • Puttock EJ; Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA.
  • Chen W; Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA.
  • Whiteley W; Centre for Clinical Brain Sciences, Edinburgh Imaging, and UK Dementia Research Institute, University of Edinburgh, Edinburgh EH16 4SB, United Kingdom.
  • Vickery EM; Predictive Analytics and Comparative Effectiveness Center, Tufts Medical Center, Boston, Massachusetts, USA.
  • Leung LY; Department of Neurology, Tufts Medical Center, Boston, Massachusetts, USA.
  • Luetmer PH; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Kallmes DF; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Fu S; Center for Translational AI Excellence and Applications in Medicine, University of Texas Health Science Center, Houston, Texas, USA.
  • Zheng C; Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA.
  • Liu H; Center for Translational AI Excellence and Applications in Medicine, University of Texas Health Science Center, Houston, Texas, USA.
  • Kent DM; Predictive Analytics and Comparative Effectiveness Center, Tufts Medical Center, Boston, Massachusetts, USA.
Aging Dis ; 2024 Feb 19.
Article en En | MEDLINE | ID: mdl-38421836
ABSTRACT
Covert cerebrovascular disease (CCD) is frequently reported on neuroimaging and associates with increased dementia and stroke risk. We aimed to determine how incidentally-discovered CCD during clinical neuroimaging in a large population associates with mortality. We screened CT and MRI reports of adults aged ≥50 in the Kaiser Permanente Southern California health system who underwent neuroimaging for a non-stroke clinical indication from 2009-2019. Natural language processing identified incidental covert brain infarcts (CBI) and/or white matter hyperintensities (WMH), grading WMH as mild/moderate/severe. Models adjusted for age, sex, ethnicity, multimorbidity, vascular risks, depression, exercise, and imaging modality. Of n=241,028, the mean age was 64.9 (SD=10.4); mean follow-up 4.46 years; 178,554 (74.1%) had CT; 62,474 (25.9%) had MRI; 11,328 (4.7%) had CBI; and 69,927 (29.0%) had WMH. The mortality rate per 1,000 person-years with CBI was 59.0 (95%CI 57.0-61.1); with WMH=46.5 (45.7-47.2); with neither=17.4 (17.1-17.7). In adjusted models, mortality risk associated with CBI was modified by age, e.g. HR 1.34 [1.21-1.48] at age 56.1 years vs HR 1.22 [1.17-1.28] at age 72 years. Mortality associated with WMH was modified by both age and imaging modality e.g., WMH on MRI at age 56.1 HR = 1.26 [1.18-1.35]; WMH on MRI at age 72 HR 1.15 [1.09-1.21]; WMH on CT at age 56.1 HR 1.41 [1.33-1.50]; WMH on CT at age 72 HR 1.28 [1.24-1.32], vs. patients without CBI or without WMH, respectively. Increasing WMH severity associated with higher mortality, e.g. mild WMH on MRI had adjusted HR=1.13 [1.06-1.20] while severe WMH on CT had HR=1.45 [1.33-1.59]. Incidentally-detected CBI and WMH on population-based clinical neuroimaging can predict higher mortality rates. We need treatments and healthcare planning for individuals with CCD.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Aging Dis Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Aging Dis Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido