3,189
Views
6
CrossRef citations to date
0
Altmetric
Articles

Fatigue as a precursor to polymyalgia rheumatica: an explorative retrospective cohort study

, , &
Pages 219-223 | Accepted 25 Aug 2014, Published online: 04 Nov 2014
 

Abstract

Objectives: Polymyalgia rheumatica (PMR) is the commonest inflammatory disorder of older adults. Although not part of the recently published classification criteria, patients with PMR frequently complain of fatigue. We compared consultation for fatigue and sleep problems between individuals with and without PMR.

Method: Consulters receiving a Read-coded diagnosis of PMR at nine general practices between 2000 and 2009 were matched by age, gender, general practice, and year of consultation to four patients without PMR. Fatigue and sleep problems were defined using Read codes. Cox regression was used to determine the association between PMR diagnosis and consultation for a fatigue/sleep problem.

Results: In total, 549 PMR patients were identified. Their mean (SD) age was 73.9 (8.6) years and 71% of the participants were female. Prior to the index date, 33 PMR patients and 80 matched non-PMR patients consulted with fatigue (0.43 vs. 0.25 consultations per 10 000 person-years, p = 0.006). PMR was associated with significantly more multiple fatigue consultations in the 12 months before PMR diagnosis [hazard ratio (HR) 1.95, 95% confidence interval (CI) 1.23–3.08]; no significant difference was seen in rates of consultations for sleep problems between patients with and without PMR.

Conclusions: PMR patients were significantly more likely to have had multiple fatigue consultations before being diagnosed with PMR. Given the overproduction of inflammatory cytokines seen in PMR, this fatigue may represent a prodromal phase prior to consulting with more classical musculoskeletal symptoms. This suggests that clinicians should consider PMR as a potential diagnosis in older patients consulting with fatigue.

Acknowledgements

We thank E Rees and L Edge for reading a version of the manuscript and providing feedback. This work was funded by the National Institute for Health Research School for Primary Care Research (NIHR SPCR).