| Literature DB >> 22350606 |
Kathrin Lottmann1, Xiaoyu Chen, Peter K Schädlich.
Abstract
Gout affects 1% to 2% of the population, and the prevalence is increasing due to changes in diet and the ageing of the population. Its development and risk factors have been explored frequently, and recommendations for the diagnosis and management of gout implemented. Nevertheless, there is a lack of knowledge regarding the long-term impact on gouty patients. This systematic review therefore evaluates the association between gout and all-cause as well as cardiovascular mortality. A systematic literature search was performed, and seven long-term studies were ultimately analyzed. Six of them used multivariate regressions to assess the adjusted mortality ratio in gouty patients with reference to patients without the disorder. Despite differences in study designs, study populations, and definitions of gout, the results were consistent: There was an independent association between gout and all-cause as well as cardiovascular mortality. Knowing that patients with gout are at risk emphasizes the need for adequate care.Entities:
Mesh:
Year: 2012 PMID: 22350606 PMCID: PMC3297741 DOI: 10.1007/s11926-011-0234-2
Source DB: PubMed Journal: Curr Rheumatol Rep ISSN: 1523-3774 Impact factor: 4.592
Fig. 1Flow diagram of study identification and selection. (Adapted from Khan et al. [16])
Overview of study characteristics and results on the association between gout and all-cause/cardiovascular mortality
| Study (year) | Duration, | Population | All-cause mortality: AHR or ARR (95% CI) | Cardiovascular mortality: AHR or ARR (95% CI) |
|---|---|---|---|---|
| Abbott et al. [ | ≤3 | 28,924 patients with renal transplantation | 1.26 (1.08–1.47) | NA |
| • 1,583 new-onset gout after transplantation | 1.18 (0.98–1.43) | |||
| • 1,175 new-onset gout prior to transplantation | ||||
| Choi and Curhan [ | 12 | 51,297 men (health professionals) | No CHD, 1.25 (1.13–1.38) | No CHD, 1.32 (1.09–1.60) |
| • 2,773 with gout | CHD, 1.35 (1.21–1.50) | CHD, 1.35 (1.19–1.55) | ||
| Cohen et al. [ | ≤6 | 259,209 dialysis patients with renal transplantation (48.4% men) | 1.49 (1.43–1.55); | 1.49 (1.43–1.55); |
| • 24,215 with gout (39.9% men) | ||||
| Krishnan et al. [ | 17 | 9,105 men at risk of CHD | ||
| • 655 self-reported gout and hyperuricemia | Self-reported gout and hyperuricemia, 1.22; | Self-reported gout and hyperuricemia, 1.30 (1.04–1.61); | ||
| • 974 gout-related medicine | Use of gout-related medicine, 1.23; | Use of gout-related medicine, 1.18; | ||
| Kuo et al. [ | ≤8 | 61,527 participants in a Taiwanese health-screening program | 1.46 (1.12–1.91); | 1.97 (1.08–3.59); |
| • 1,311 with gout (90.4% men) | ||||
| Thanassoulis et al. [ | ≤8 | 25,090 patients aged >66 y discharged from hospital with primary diagnosis of heart failure | 1.76 (1.08–2.86); | NA |
| • 1,053 with gout | ||||
| Singh and Strand [ | 1 | 64,553 US veterans | NA | NA |
| • 1,581 with gout (99% men) | Adjusted 1-y mortality rate: 2.63% with gout, 2.22% without gout; difference, 18.47%; | |||
AHR, adjusted hazard ratio; ARR, adjusted risk ratio; CHD, coronary heart disease; CI, confidence interval; NA, not applicable