Evidence map›Paper›PMID 39051857›Full record

ArticleThe journal of spinal cord medicine2025

An exploratory analysis of the metabolic syndrome and cardiovascular disease risk calculations in veterans with spinal cord injury and disorders.

Khin N Chan, Jonathan Myers, David Huberman, Doug Ota, Jeffrey Jaramillo, B Jenny Kiratli

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Article in The journal of spinal cord medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Khin N ChanSpinal Cord Injury and Disorders Center, VA Palo Alto Health Care System, Palo Alto, California, USA.ORCID 0000-0002-2575-8040
Jonathan MyersCardiology Division, VA Palo Alto Health Care System, Palo Alto, California, USA.
David HubermanSpinal Cord Injury and Disorders Center, VA Palo Alto Health Care System, Palo Alto, California, USA.
Doug OtaSpinal Cord Injury and Disorders Center, VA Palo Alto Health Care System, Palo Alto, California, USA.
Jeffrey JaramilloSpinal Cord Injury and Disorders Center, VA Palo Alto Health Care System, Palo Alto, California, USA.
B Jenny KiratliSpinal Cord Injury and Disorders Center, VA Palo Alto Health Care System, Palo Alto, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectives(1) To describe and compare cardiovascular and cardiometabolic disease risk scores using three existing risk calculators: Framingham Risk Score (FRS), American Heart Association (AHA) and Metabolic Syndrome Severity Score (MSSS) in Veterans with spinal cord injury and disorders (SCI/D); (2) To examine level of agreement between risk scores derived from three different risk scoring systems; and (3) To investigate whether the agreement among these methods is different for Veterans with Tetraplegia versus Paraplegia.

designRetrospective chart review.

methodsElectronic medical records of 194 Veterans with SCI/D who were seen at the VAPAHCS SCI/D Center between August 2004 and June 2022 were reviewed. Cardiovascular disease (CVD) risk scores (FRS and AHA) along with a Metabolic Syndrome Severity Score (MSSS) were computed using web-based calculators.

resultsModerate agreement between CVD risk scores (FRS and AHA) was observed; however, the agreement was poor between MSSS and both AHA and FRS. No differences were observed between the paraplegia and tetraplegia cohorts. From the AHA risk score, more than half the study population was found to be at high risk while less than half was considered high risk from the FRS and MSSS scores.

conclusionsGiven the moderate association between AHA and FRS scores along with considerable variation in risk predictors, CVD risk prediction assessment tools should be interpreted cautiously in the SCI population. SCI-related clinical biomarkers and other clinically relevant risk factors should be taken into consideration to optimize risk estimation in persons with SCI/D.

Indexed as

Cardiovascular DiseasesMetabolic SyndromeSpinal Cord InjuriesVeteransAdultAgedFemaleHumansMaleMiddle AgedParaplegiaQuadriplegiaRetrospective StudiesRisk AssessmentAmerican Heart AssociationCardiovascular risk calculatorsFraminghamMetabolic syndromeParaplegiaRisk scoresSpinal cord injuryTetraplegia

Identifiers

PMID39051857
PMCPMC12329853

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.