Association between glucocorticoid therapy and incidence of diabetes mellitus in polymyalgia rheumatica and giant cell arteritis: a systematic review and meta-analysis. Issue 1 (28th February 2018)

• Record Type: Journal Article
• Authors: Lai, Lana Yin Hui; Harris, Emma; West, Robert M; Mackie, Sarah Louise
• Is Part Of: RMD open. Volume 4:Issue 1(2018)
• Publication Date: 2018-02-28
• Subjects: polymyalgia rheumatica -- giant cell arteritis -- treatment -- epidemiology -- corticosteroids; Musculoskeletal system -- Diseases -- Periodicals; Rheumatism -- Periodicals; 616.7005
• DOI: 10.1136/rmdopen-2017-000521
• Languages: English
• ISSNs: 2056-5933

Abstract

Abstract : Background: Polymyalgia rheumatica (PMR) and giant cell arteritis (GCA) are almost always treated with glucocorticoids (GCs), but long-term GC use is associated with diabetes mellitus (DM). The absolute incidence of this complication in this patient group remains unclear. Objective: To quantify the absolute risk of GC-induced DM in PMR and GCA from published literature. Methods: We identified literature from inception to February 2017 reporting diabetes following exposure to oral GC in patients with PMR and/or GCA without pre-existing diabetes. A random-effects meta-analysis was performed to summarise the findings. Results: 25 eligible publications were identified. In studies of patients with GCA, mean cumulative GC dose was almost 1.5 times higher than in studies of PMR (8.2 g vs 5.6 g), with slightly longer treatment duration and longer duration of follow-up (6.4 years vs 4.4 years). The incidence proportion (cumulative incidence) of patients who developed new-onset DM was 6% (95% CI 3% to 9%) for PMR and 13% (95% CI 9% to 17%) for GCA. Based on UK data on incidence rate of DM in the general population, the expected background incidence rate of DM over 4.4 years in patients with PMR and 6.4 years in patients with GCA (follow-up duration) would be 4.8% and 7.0%, respectively. Heterogeneity between studies was high (I 2 =79.1%), as there were differences in study designs, patient population, geographical locations and treatment. Little information on predictors of DM was found. Conclusion: Our meta-analysis produced plausible estimates of DM incidence in patients with PMR and GCA, but there is insufficient published data to allow precise quantification of DM risk.