Cited by 45Clinical Laboratory Practices and Quality ControlDiabetes, Cardiovascular Risks, and LipoproteinsDiabetes Management and Research

Cardiometabolic Risk Factors Assessed by a Finger Stick Dried Blood Spot Method

Open access
Kapur, Sanjay, Kapur, Sonia, Zava, David·2008·Journal of Diabetes Science and Technology

Abstract

Background: Cardiovascular and metabolic risk factors are gaining attention as potential indicators for intervention in the prevention and treatment of cardiovascular disease (CVD) and type 2 diabetes mellitus (T2DM). Blood spot technology offers an efficient, convenient method to measure these risk factors in an at-risk population. Simple and convenient methods to assess cardiometabolic risk factors will allow clinicians to formulate treatment strategies for effective prevention and management of these conditions. Method: Insulin and high sensitivity C-reactive protein (hs-CRP) were measured in dried blood spot and corresponding serum samples using conventional commercial serum kits based on a direct sandwich ELISA technique. The triglyceride assay involved enzymatic hydrolysis of triglycerides by lipase to glycerol and free fatty acids. The glycerol produced was then measured by coupled enzyme reactions. Blood spot assays were modified from previously published methods to give improved accuracy and turnaround time. Results: Blood spot levels correlated well with serum levels of hs-CRP ( r = 0.99), triglycerides (fasting, r = 0.95; nonfasting, r = 0.94), and insulin (fasting, r = 0.93; nonfasting, r = 0.97). Conclusion: Blood spot testing for insulin, hs-CRP, and triglycerides may be helpful in the cardiometabolic screening or monitoring of patients at risk of developing CVD, T2DM, or metabolic syndrome.

Integrity signals

Registry

Crossref · 10.1177/193229680800200210

Cites

19 of 19 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Kapur, S., Kapur, S., & Zava, D.
Affiliations
ZRT Laboratory (US)
Corresponding author
Kapur, Sanjay
Venue
Journal of Diabetes Science and Technology
Published
2008-03
Volume
2
Issue
2
Pages
236-241
ISSN
1932-2968 (ISSN-L)
OpenAlex
W2148186130
Cited by
45
References
19
Citations by year
2026: 2 · 2025: 3 · 2024: 4 · 2023: 1 · 2022: 3 · 2021: 3 · 2019: 1 · 2018: 5 · 2017: 1 · 2016: 4 · 2015: 3 · 2014: 5 · 2013: 1 · 2012: 2
FWCI
1.58
Type
journal article
Language
en
Open access
Locations
  • Journal of Diabetes Science and Technology (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Physiology › Clinical Laboratory Practices and Quality Control
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
Keywords
dried blood spots, cardiometabolic risk factors, insulin, high-sensitivity C-reactive protein, triglycerides, cardiovascular disease, type 2 diabetes, metabolic syndrome, cardiovascular risk screening, assay validation

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review