“Association of blood cell indices and anemia with risk of incident dementia”: Missing important covariates in MRI analysis may be misleading
Xinjie Zhang, Wenwu Zhou

Abstract
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TopicsAdvanced Neuroimaging Techniques and Applications · Acute Ischemic Stroke Management · Neurological and metabolic disorders
This letter is in response to “Associations of blood cell indices and anemia with risk of incident dementia: A prospective cohort study of 313,448 participants” by Qiang and colleagues.1
Brain magnetic resonance imaging (MRI) is an important tool for understanding brain structure, offering an opportunity to evaluate the possible mechanisms underlying dementia progression.2, 3 In their recent article, Qiang and colleagues assessed associations of blood cell indices and anemia with the risk of dementia and brain MRI measures. However, two crucial questions were not well addressed in the MRI data analysis. First, the presence of chronic brain disorders (including stroke, Parkinson's disease, cerebral hemorrhage, etc.) could significantly affect brain structure and function,4, 5 and the authors did not adequately account for chronic brain disorders in their analysis. Simply adjusting for the history of stroke at baseline was insufficient, and given that the MRI of UKB was measured about 9 years after baseline, the estimated associations of blood cell indices and anemia with MRI measures should be more accurate if adjusted for or excluded for chronic brain disorders (ie, before MRI assessment). Second, according to the official UKB MRI documentation, the exact location of the head and the radio‐frequency receive coil in the scanner can (including the X‐position of center‐of‐gravity of brain mask in scanner co‐ordinates, Y‐position of back of brain mask in scanner co‐ordinates, Z‐position of center‐of‐gravity of brain mask in scanner co‐ordinates, and Z‐position of table/coil in scanner co‐ordinates) affect data quality and imaging‐derived phenotypes and can be used as “confounding variables.”6, 7 To the best of our knowledge, controlling these confounds may have a large impact on the estimations or even reverse the results, as they are directly relevant to the quality of the MRI data.
If the authors further consider these important confounders, it is believed that their conclusions will be more reliable.
CONFLICT OF INTEREST STATEMENT
The authors declare no conflicts of interest. Author disclosures are available in the supporting information.
Supporting information
Supporting Information
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1Qiang YX , Deng YT , Zhang YR , et al. Associations of blood cell indices and anemia with risk of incident dementia: a prospective cohort study of 313,448 participants. Alzheimers Dement. 2023.10.1002/alz.1308837102212 · doi ↗ · pubmed ↗
- 2Zheng Y , Guo H , Zhang L , Wu J , Li Q , FJ Fi N Lv . Machine learning‐based framework for differential diagnosis between vascular dementia and Alzheimer's disease using structural MRI features. Front Neurol. 2019:1097.10.3389/fneur.2019.01097 PMC 682322731708854 · doi ↗ · pubmed ↗
- 3Frisoni GB , Fox NC , Jack CR , Scheltens P , Thompson PM . The clinical use of structural MRI in Alzheimer disease. Nat Rev Neurol. 2010;6(2):67‐77.20139996 10.1038/nrneurol.2009.215PMC 2938772 · doi ↗ · pubmed ↗
- 4Lyall DM , Celis‐Morales CA , Anderson J , et al. Associations between single and multiple cardiometabolic diseases and cognitive abilities in 474 129 UK Biobank participants. Eur Heart J. 2017;38(8):577‐583.28363219 10.1093/eurheartj/ehw 528PMC 5381595 · doi ↗ · pubmed ↗
- 5Newby D , Winchester L , Sproviero W , et al. Associations between brain volumes and cognitive tests with hypertensive burden in UK Biobank. J Alzheimers Dis. 2021;84(3):1373‐1389.34690138 10.3233/JAD-210512 PMC 8673518 · doi ↗ · pubmed ↗
- 6Miller KL , Alfaro‐Almagro F , Bangerter NK , et al. Multimodal population brain imaging in the UK Biobank prospective epidemiological study. Nat Neurosci. 2016;19(11):1523‐1536.27643430 10.1038/nn.4393 PMC 5086094 · doi ↗ · pubmed ↗
- 7Smith S , Almagro FA , Miller K , UK Biobank Brain Imaging Documentation. 2020.12; Accessed April 14, 2022 https://biobank.ndph.ox.ac.uk/showcase/ukb/docs/brain_mri.pdf
