Jie-Qiong Li1, Lan Tan2, Hui-Fu Wang3, Meng-Shan Tan4, Lin Tan4, Wei Xu1, Qing-Fei Zhao1, Jun Wang1, Teng Jiang3, Jin-Tai Yu5. 1. Department of Neurology, Qingdao Municipal Hospital, School of Medicine, Qingdao University, Qingdao, China. 2. Department of Neurology, Qingdao Municipal Hospital, School of Medicine, Qingdao University, Qingdao, China Department of Neurology, Qingdao Municipal Hospital, Nanjing Medical University, Qingdao, China College of Medicine and Pharmaceutics, Ocean University of China, Qingdao, China. 3. Department of Neurology, Qingdao Municipal Hospital, Nanjing Medical University, Qingdao, China. 4. College of Medicine and Pharmaceutics, Ocean University of China, Qingdao, China. 5. Department of Neurology, Qingdao Municipal Hospital, School of Medicine, Qingdao University, Qingdao, China Department of Neurology, Qingdao Municipal Hospital, Nanjing Medical University, Qingdao, China College of Medicine and Pharmaceutics, Ocean University of China, Qingdao, China Department of Neurology, Memory and Aging Center, University of California, San Francisco, California, USA.
Abstract
OBJECTIVE: We sought to identify the risk factors for predicting the progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD). METHODS: We searched 6 electronic databases for cohort studies published from January 1966 to March 2015. Eligible studies were required to be relevant to the subject and provide sufficient data for our needs. RESULTS: 60 cohort studies with 14,821 participants from 16 countries were included in the meta-analysis. The strongest positive associations between risk factors and the progression from MCI to AD were found for abnormal cerebrospinal fluid (CSF), phosphorylated τ (p-τ) (relative risk (RR)=2.43, 95% CI=1.70 to 3.48), abnormal CSF τ/Aβ1-42 (RR=3.77, 95% CI=2.34 to 6.09), hippocampal atrophy (RR=2.59, 95% CI=1.95 to 3.44), medial temporal lobe atrophy (RR=2.11, 95% CI=1.70 to 2.63) and entorhinal atrophy (RR=2.03, 95% CI=1.57 to 2.62). Further positive associations were found for the presence of apolipoprotein E (APOE)ε4ε4 and at least 1 APOEε4 allele, CSF total-τ (t-τ), white matter hyperintensity volume, depression, diabetes, hypertension, older age, female gender, lower mini-mental state examination (MMSE) score and higher AD assessment scale cognitive subscale (ADAS-cog) score. Negative associations were found for high body mass index (RR=0.85, 95% CI=0.76 to 0.96) and higher auditory verbal learning test delay score (RR=0.86, 95% CI=0.77 to 0.96). CONCLUSIONS: Patients with MCI with APOEε4, abnormal CSF τ level, hippocampal and medial temporal lobe atrophy, entorhinal atrophy, depression, diabetes, hypertension, older age, female gender, lower MMSE score and higher ADAS-cog score, had a high risk for the progression to AD. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/
OBJECTIVE: We sought to identify the risk factors for predicting the progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD). METHODS: We searched 6 electronic databases for cohort studies published from January 1966 to March 2015. Eligible studies were required to be relevant to the subject and provide sufficient data for our needs. RESULTS: 60 cohort studies with 14,821 participants from 16 countries were included in the meta-analysis. The strongest positive associations between risk factors and the progression from MCI to AD were found for abnormal cerebrospinal fluid (CSF), phosphorylated τ (p-τ) (relative risk (RR)=2.43, 95% CI=1.70 to 3.48), abnormal CSF τ/Aβ1-42 (RR=3.77, 95% CI=2.34 to 6.09), hippocampal atrophy (RR=2.59, 95% CI=1.95 to 3.44), medial temporal lobe atrophy (RR=2.11, 95% CI=1.70 to 2.63) and entorhinal atrophy (RR=2.03, 95% CI=1.57 to 2.62). Further positive associations were found for the presence of apolipoprotein E (APOE)ε4ε4 and at least 1 APOEε4 allele, CSF total-τ (t-τ), white matter hyperintensity volume, depression, diabetes, hypertension, older age, female gender, lower mini-mental state examination (MMSE) score and higher AD assessment scale cognitive subscale (ADAS-cog) score. Negative associations were found for high body mass index (RR=0.85, 95% CI=0.76 to 0.96) and higher auditory verbal learning test delay score (RR=0.86, 95% CI=0.77 to 0.96). CONCLUSIONS:Patients with MCI with APOEε4, abnormal CSF τ level, hippocampal and medial temporal lobe atrophy, entorhinal atrophy, depression, diabetes, hypertension, older age, female gender, lower MMSE score and higher ADAS-cog score, had a high risk for the progression to AD. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/
Authors: Costantino Iadecola; Kristine Yaffe; José Biller; Lisa C Bratzke; Frank M Faraci; Philip B Gorelick; Martha Gulati; Hooman Kamel; David S Knopman; Lenore J Launer; Jane S Saczynski; Sudha Seshadri; Adina Zeki Al Hazzouri Journal: Hypertension Date: 2016-10-10 Impact factor: 10.190
Authors: Patrick J Lao; José Gutierrez; David Keator; Batool Rizvi; Arit Banerjee; Kay C Igwe; Krystal K Laing; Mithra Sathishkumar; Fahmida Moni; Howard Andrews; Sharon Krinsky-McHale; Elizabeth Head; Joseph H Lee; Florence Lai; Michael A Yassa; H Diana Rosas; Wayne Silverman; Ira T Lott; Nicole Schupf; Adam M Brickman Journal: Ann Neurol Date: 2020-10-09 Impact factor: 10.422
Authors: Matthew A Clem; Ryan P Holliday; Seema Pandya; Linda S Hynan; Laura H Lacritz; Fu L Woon Journal: Cogn Behav Neurol Date: 2017-03 Impact factor: 1.600
Authors: Julija Stelmokas; Lance Yassay; Bruno Giordani; Hiroko H Dodge; Ivo D Dinov; Arijit Bhaumik; K Sathian; Benjamin M Hampstead Journal: J Alzheimers Dis Date: 2017 Impact factor: 4.472