Optimising Alzheimer’s Disease Diagnosis and Treatment: Assessing Cost-Utility of Integrating Blood Biomarkers in Clinical Practice for Disease-Modifying Treatment - 21/11/24

Doi : 10.14283/jpad.2024.67 
Sandar Aye 1, , R. Handels 1, 2, B. Winblad 1, 3, L. Jönsson 1
1 Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, BioClinicum J9:20, Akademiska stråket, 171 64, Solna, Sweden 
2 Department of Psychiatry and Neuropsychology, Maastricht University; Alzheimer Centre Limburg; Faculty of Health, Medicine and Life Sciences; School for Mental Health and Neuroscience, 6200 MD, Maastricht, The Netherlands 
3 Theme Inflammation and Aging, Karolinska University Hospital, 141 86, Stockholm, Sweden 

a drentz@bwh.harvard.edu drentz@bwh.harvard.edu

Benvenuto su EM|consulte, il riferimento dei professionisti della salute.
Articolo gratuito.

Si connetta per beneficiarne

Abstract

Background

Recent developments in blood biomarkers (BBM) have shown promising results in diagnosing amyloid pathology in Alzheimer’s Disease (AD). However, information on how these BBMs can best be used in clinical settings to optimise clinical decision-making and long-term health outcomes for individuals with AD is still lacking.

Objectives

We aim to assess the potential value of BBM in AD diagnosis within the context of disease-modifying treatment (DMT).

Design

We developed a decision analytic model to evaluate the long-term health outcomes using BBM in AD diagnosis. We compared standard of care (SOC) diagnosis workflow to the integration of BBM as a (1) referral decision tool in primary health center (PHC) and (2) triaging tool for invasive CSF examination in specialist memory clinic (MC). We combined a decision tree and a Markov model to simulate the patient’s diagnostic journey, treatment decisions following diagnosis and long-term health outcomes. Input parameters for the model were identified from published literature and registry data analysis. We conducted a cost-utility analysis from the societal perspective using a one-year cycle length and a 30-year (lifetime) horizon.

Measurements

We reported the simulated outcomes in the percentage of correct diagnosis, costs (in 2022 Euros), quality-adjusted life year (QALY), and incremental cost-effectiveness ratios (ICER) associated with each diagnosis strategy.

Results

Compared to SOC, integrating BBM in PHC increased patient referrals by 8% and true positive AD diagnoses by 10.4%. The lifetime costs for individuals diagnosed with AD were € 249,685 and €250,287, and QALYs were 9.5 and 9.52 in SOC and PHC pathways, respectively. The cost increments were €603, and QALYs gained were 0.01, resulting in an ICER of €48,296. Using BBM in MC reduced the exposure to invasive CSF procedures and costs but also reduced true positive AD diagnoses and QALYs.

Conclusions

Using BBM at PHC to make referral decisions might increase initial diagnostic costs but can prevent high costs associated with disease progression, providing a cost-effective DMT is available, whereas using BBM in MC could reduce the initial evaluation cost but incur high costs associated with disease progression.

Il testo completo di questo articolo è disponibile in PDF.

Key words : Cost-utility, blood biomarker, disease-modifying treatment, Alzheimer’s disease


Mappa


© 2024  THE AUTHORS. Published by Elsevier Masson SAS on behalf of SERDI Publisher.. Pubblicato da Elsevier Masson SAS. Tutti i diritti riservati.
Aggiungere alla mia biblioteca Togliere dalla mia biblioteca Stampare
Esportazione

    Citazioni Export

  • File

  • Contenuto

Vol 11 - N° 4

P. 928-942 - Agosto 2024 Ritorno al numero
Articolo precedente Articolo precedente
  • Non-Genetic Risk Factors of Alzheimer’s Disease: An Updated Umbrella Review
  • S.-Y. He, W.-M. Su, X.-J. Wen, S.-J. Lu, B. Cao, Bo Yan, Yong-Ping Chen
| Articolo seguente Articolo seguente
  • Predicting Brain Amyloid Status Using the National Institute of Health Toolbox (NIHTB) for Assessment of Neurological and Behavioral Function
  • Y. Cheng, E. Ho, S. Weintraub, D. Rentz, R. Gershon, Sudeshna Das, Hiroko H. Dodge

Benvenuto su EM|consulte, il riferimento dei professionisti della salute.

Il mio account


Dichiarazione CNIL

EM-CONSULTE.COM è registrato presso la CNIL, dichiarazione n. 1286925.

Ai sensi della legge n. 78-17 del 6 gennaio 1978 sull'informatica, sui file e sulle libertà, Lei puo' esercitare i diritti di opposizione (art.26 della legge), di accesso (art.34 a 38 Legge), e di rettifica (art.36 della legge) per i dati che La riguardano. Lei puo' cosi chiedere che siano rettificati, compeltati, chiariti, aggiornati o cancellati i suoi dati personali inesati, incompleti, equivoci, obsoleti o la cui raccolta o di uso o di conservazione sono vietati.
Le informazioni relative ai visitatori del nostro sito, compresa la loro identità, sono confidenziali.
Il responsabile del sito si impegna sull'onore a rispettare le condizioni legali di confidenzialità applicabili in Francia e a non divulgare tali informazioni a terzi.


Tutto il contenuto di questo sito: Copyright © 2024 Elsevier, i suoi licenziatari e contributori. Tutti i diritti sono riservati. Inclusi diritti per estrazione di testo e di dati, addestramento dell’intelligenza artificiale, e tecnologie simili. Per tutto il contenuto ‘open access’ sono applicati i termini della licenza Creative Commons.