Prognostic value of complementary biomarkers of neurodegeneration in a mixed memory clinic cohort

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Prognostic value of complementary biomarkers of neurodegeneration in a mixed memory clinic cohort. / Gramkow, Mathias Holsey; Gjerum, Le; Koikkalainen, Juha; Lötjönen, Jyrki; Law, Ian; Hasselbalch, Steen Gregers; Waldemar, Gunhild; Frederiksen, Kristian Steen.

I: PeerJ, Bind 2020, Nr. 7, e9498, 2020.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Gramkow, MH, Gjerum, L, Koikkalainen, J, Lötjönen, J, Law, I, Hasselbalch, SG, Waldemar, G & Frederiksen, KS 2020, 'Prognostic value of complementary biomarkers of neurodegeneration in a mixed memory clinic cohort', PeerJ, bind 2020, nr. 7, e9498. https://doi.org/10.7717/peerj.9498

APA

Gramkow, M. H., Gjerum, L., Koikkalainen, J., Lötjönen, J., Law, I., Hasselbalch, S. G., Waldemar, G., & Frederiksen, K. S. (2020). Prognostic value of complementary biomarkers of neurodegeneration in a mixed memory clinic cohort. PeerJ, 2020(7), [e9498]. https://doi.org/10.7717/peerj.9498

Vancouver

Gramkow MH, Gjerum L, Koikkalainen J, Lötjönen J, Law I, Hasselbalch SG o.a. Prognostic value of complementary biomarkers of neurodegeneration in a mixed memory clinic cohort. PeerJ. 2020;2020(7). e9498. https://doi.org/10.7717/peerj.9498

Author

Gramkow, Mathias Holsey ; Gjerum, Le ; Koikkalainen, Juha ; Lötjönen, Jyrki ; Law, Ian ; Hasselbalch, Steen Gregers ; Waldemar, Gunhild ; Frederiksen, Kristian Steen. / Prognostic value of complementary biomarkers of neurodegeneration in a mixed memory clinic cohort. I: PeerJ. 2020 ; Bind 2020, Nr. 7.

Bibtex

@article{c5783058b9ee43cbb3dba02125f530b3,
title = "Prognostic value of complementary biomarkers of neurodegeneration in a mixed memory clinic cohort",
abstract = "Background. Biomarkers of neurodegeneration, e.g. MRI brain atrophy and [18F]FDG-PET hypometabolism, are often evaluated in patients suspected of neurodegenerative disease. Objective. Our primary objective was to investigate prognostic properties of atrophy and hypometabolism. Methods. From March 2015-June 2016, 149 patients referred to a university hospital memory clinic were included. The primary outcome was progression/stable disease course as assessed by a clinician at 12 months follow-up. Intracohort defined z-scores of baseline MRI automatic quantified volume and [18F]FDG-PET standardized uptake value ratios were calculated for all unilaterally defined brain lobes and dichotomized as pronounced atrophy (+A)/ pronounced hypometabolism (+H) at z-score <0. A logistic regression model with progression status as the outcome was carried out with number of lobes with the patterns +A/-H, -A/+H, +A/+H respectively as predictors. The model was mutually adjusted along with adjustment for age and sex. A sensitivity analysis with a z-score dichotomization at −0.1 and −0.5 and dichotomization regarding number of lobes affected at one and three lobes was done. Results. Median follow-up time was 420 days [IQR: 387-461 days] and 50 patients progressed. Patients with two or more lobes affected by the pattern +A/+H compared to patients with 0–1 lobes affected had a statistically significant increased risk of progression (odds ratio, 95 % confidence interval: 4.33, 1.90–9.86) in a multivariable model. The model was partially robust to the applied sensitivity analysis. Conclusion. Combined atrophy and hypometabolism as assessed by MRI and [18F]FDG-PET in patients under suspicion of neurodegenerative disease predicts progression over 1 year.",
keywords = "Biomarkers, Magnetic resonance imaging, Neurodegenerative disease, Neuroimaging, Positron-emission tomography, Prognosis, Tau",
author = "Gramkow, {Mathias Holsey} and Le Gjerum and Juha Koikkalainen and Jyrki L{\"o}tj{\"o}nen and Ian Law and Hasselbalch, {Steen Gregers} and Gunhild Waldemar and Frederiksen, {Kristian Steen}",
year = "2020",
doi = "10.7717/peerj.9498",
language = "English",
volume = "2020",
journal = "PeerJ",
issn = "2167-8359",
publisher = "PeerJ",
number = "7",

}

RIS

TY - JOUR

T1 - Prognostic value of complementary biomarkers of neurodegeneration in a mixed memory clinic cohort

AU - Gramkow, Mathias Holsey

AU - Gjerum, Le

AU - Koikkalainen, Juha

AU - Lötjönen, Jyrki

AU - Law, Ian

AU - Hasselbalch, Steen Gregers

AU - Waldemar, Gunhild

AU - Frederiksen, Kristian Steen

PY - 2020

Y1 - 2020

N2 - Background. Biomarkers of neurodegeneration, e.g. MRI brain atrophy and [18F]FDG-PET hypometabolism, are often evaluated in patients suspected of neurodegenerative disease. Objective. Our primary objective was to investigate prognostic properties of atrophy and hypometabolism. Methods. From March 2015-June 2016, 149 patients referred to a university hospital memory clinic were included. The primary outcome was progression/stable disease course as assessed by a clinician at 12 months follow-up. Intracohort defined z-scores of baseline MRI automatic quantified volume and [18F]FDG-PET standardized uptake value ratios were calculated for all unilaterally defined brain lobes and dichotomized as pronounced atrophy (+A)/ pronounced hypometabolism (+H) at z-score <0. A logistic regression model with progression status as the outcome was carried out with number of lobes with the patterns +A/-H, -A/+H, +A/+H respectively as predictors. The model was mutually adjusted along with adjustment for age and sex. A sensitivity analysis with a z-score dichotomization at −0.1 and −0.5 and dichotomization regarding number of lobes affected at one and three lobes was done. Results. Median follow-up time was 420 days [IQR: 387-461 days] and 50 patients progressed. Patients with two or more lobes affected by the pattern +A/+H compared to patients with 0–1 lobes affected had a statistically significant increased risk of progression (odds ratio, 95 % confidence interval: 4.33, 1.90–9.86) in a multivariable model. The model was partially robust to the applied sensitivity analysis. Conclusion. Combined atrophy and hypometabolism as assessed by MRI and [18F]FDG-PET in patients under suspicion of neurodegenerative disease predicts progression over 1 year.

AB - Background. Biomarkers of neurodegeneration, e.g. MRI brain atrophy and [18F]FDG-PET hypometabolism, are often evaluated in patients suspected of neurodegenerative disease. Objective. Our primary objective was to investigate prognostic properties of atrophy and hypometabolism. Methods. From March 2015-June 2016, 149 patients referred to a university hospital memory clinic were included. The primary outcome was progression/stable disease course as assessed by a clinician at 12 months follow-up. Intracohort defined z-scores of baseline MRI automatic quantified volume and [18F]FDG-PET standardized uptake value ratios were calculated for all unilaterally defined brain lobes and dichotomized as pronounced atrophy (+A)/ pronounced hypometabolism (+H) at z-score <0. A logistic regression model with progression status as the outcome was carried out with number of lobes with the patterns +A/-H, -A/+H, +A/+H respectively as predictors. The model was mutually adjusted along with adjustment for age and sex. A sensitivity analysis with a z-score dichotomization at −0.1 and −0.5 and dichotomization regarding number of lobes affected at one and three lobes was done. Results. Median follow-up time was 420 days [IQR: 387-461 days] and 50 patients progressed. Patients with two or more lobes affected by the pattern +A/+H compared to patients with 0–1 lobes affected had a statistically significant increased risk of progression (odds ratio, 95 % confidence interval: 4.33, 1.90–9.86) in a multivariable model. The model was partially robust to the applied sensitivity analysis. Conclusion. Combined atrophy and hypometabolism as assessed by MRI and [18F]FDG-PET in patients under suspicion of neurodegenerative disease predicts progression over 1 year.

KW - Biomarkers

KW - Magnetic resonance imaging

KW - Neurodegenerative disease

KW - Neuroimaging

KW - Positron-emission tomography

KW - Prognosis

KW - Tau

U2 - 10.7717/peerj.9498

DO - 10.7717/peerj.9498

M3 - Journal article

C2 - 32714664

AN - SCOPUS:85091344535

VL - 2020

JO - PeerJ

JF - PeerJ

SN - 2167-8359

IS - 7

M1 - e9498

ER -

ID: 256219383