Vehicle Control as a Measure of Real-World Driving Performance in Patients With Rheumatoid Arthritis.
Journal
Arthritis care & research
ISSN: 2151-4658
Titre abrégé: Arthritis Care Res (Hoboken)
Pays: United States
ID NLM: 101518086
Informations de publication
Date de publication:
02 2023
02 2023
Historique:
revised:
06
08
2021
received:
23
02
2021
accepted:
12
08
2021
pmc-release:
01
02
2024
pubmed:
17
8
2021
medline:
14
2
2023
entrez:
16
8
2021
Statut:
ppublish
Résumé
To quantify vehicle control as a metric of automobile driving performance in patients with rheumatoid arthritis (RA). Naturalistic driving assessments were completed in patients with active RA and controls without disease. Data were collected using in-car, sensor-based instrumentation installed in the participants' own vehicles to observe typical driving habits. RA disease status, disease activity, and functional status were associated with vehicle control (lateral [steering] and longitudinal [braking/accelerating] acceleration variability) using mixed-effect linear regression models stratified by road type (defined by roadway speed limit). Across 1,292 driving hours, RA drivers (n = 33) demonstrated differences in vehicle control compared to controls (n = 23), with evidence of significant statistical interaction between disease status and road type (P < 0.001). On residential roads, participants with RA demonstrated overall lower braking/accelerating variability than controls (P ≤ 0.004) and, when disease activity was low, lower steering variability (P = 0.03). On interstates/highways, RA was associated with increased steering variability among those with moderate/high Clinical Disease Activity Index scores (P = 0.04). In models limited to RA, increases in disease activity and physical disability over 12 weeks of observation were associated with a significant increase in braking/accelerating variability on interstate/highways (both P < 0.05). Using novel naturalistic assessments, we linked RA and worsening RA disease severity with aberrant vehicle control. These findings support the need for further research to map these observed patterns in vehicle control to metrics of driver risk and, in turn, to link patterns of real-world driving behavior to diagnosis and disease activity.
Identifiants
pubmed: 34397172
doi: 10.1002/acr.24769
pmc: PMC8847538
mid: NIHMS1733286
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
252-259Subventions
Organisme : CSRD VA
ID : IK2 CX002203
Pays : United States
Organisme : BLRD VA
ID : IS1 BX004790
Pays : United States
Organisme : NIAAA NIH HHS
ID : R25 AA020818
Pays : United States
Organisme : NIGMS NIH HHS
ID : U54 GM115458
Pays : United States
Informations de copyright
© 2021 American College of Rheumatology.
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