Effects of spot size on biomarker levels of field-collected dried blood spots: A new algorithm for exact dried blood spot size measurement.
Journal
American journal of human biology : the official journal of the Human Biology Council
ISSN: 1520-6300
Titre abrégé: Am J Hum Biol
Pays: United States
ID NLM: 8915029
Informations de publication
Date de publication:
10 2022
10 2022
Historique:
revised:
24
05
2022
received:
03
12
2021
accepted:
03
06
2022
pubmed:
25
8
2022
medline:
6
10
2022
entrez:
24
8
2022
Statut:
ppublish
Résumé
The quality of blood values analyzed from survey-collected dried blood spot (DBS) samples is affected by fieldwork conditions, particularly spot size. We offer an image-based algorithm that accurately measures the area of field-collected DBS and we investigate the impact of spot size on the analyzed blood marker values. SHARE, a pan-European study, collected 24 000 DBS samples in 12 countries in its sixth wave. Our new algorithm uses photographs of the DBS samples to calculate the number of pixels of the blood-covered area to measure the spot sizes accurately. We ran regression models to examine the association of spot size and seven DBS analytes. We then compared the application of our new spot-size measures to common spot-size estimation. Using automated spot-size measurement, we found that spot size has a significant effect on all markers. Smaller spots are associated with lower measured levels, except for HbA1c, for which we observe a negative effect. Our precisely measured spot sizes explain substantially more variance of DBS analytes compared to commonly used spot-size estimation. The new algorithm accurately measures the size of field-collected DBS in an automated way. This methodology can be applied to surveys even with very large numbers of observations. The measured spot sizes improve the accuracy of conversion formulae that translate blood marker values derived from DBS into venous blood values. The significance of the spot-size effects on biomarkers in DBS should also incentivize the improvement of fieldwork training and monitoring.
Identifiants
pubmed: 36001479
doi: 10.1002/ajhb.23777
pmc: PMC9606603
mid: NIHMS1821614
doi:
Substances chimiques
Biomarkers
0
Glycated Hemoglobin A
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
e23777Subventions
Organisme : NIA NIH HHS
ID : P01 AG005842
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG063944
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG009740
Pays : United States
Organisme : NIA NIH HHS
ID : P01 AG008291
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG012815
Pays : United States
Organisme : NIA NIH HHS
ID : HHSN271201300071C
Pays : United States
Organisme : NIA NIH HHS
ID : R21 AG025169
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG052527
Pays : United States
Informations de copyright
© 2022 The Authors. American Journal of Human Biology published by Wiley Periodicals LLC.
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