Hyperuricemia and prognosis of acute ischemic stroke in diabetic patients

Neurol Res. 2019 Mar;41(3):250-256. doi: 10.1080/01616412.2018.1553347. Epub 2018 Dec 11.

Abstract

Objectives: The relationship between hyperuricemia (HUA) and prognosis of acute ischemic stroke (AIS) is unclear. This prospective cohort study aims to evaluate potential value of HUA as a prognostic factor for AIS independent of diabetic status.

Methods: A total of 1041 consecutive patients aged from 25 to 96 with AIS were included. 340 (32.7%) had diabetes and 246 (23.6%) had HUA. Diabetic patients were stratified by gender or age. Multivariate logistic regression was used to analyse the association between HUA and prognosis of AIS.

Results: HUA independently predicted poor discharge outcome of AIS in diabetic patients [OR (95% CI): 2.061 (1.042-4.077), p < 0.05]. Among diabetics, HUA selectively predicted a poor functional outcome of AIS at discharge in patients aged ≤75 years [OR (95% CI): 2.381 (1.115-5.085), p < 0.05]. Furthermore, in patients aged ≤75 years, HUA independently predicted poor discharge outcome of AIS in male diabetics [OR (95% CI): 2.684 (1.001-7.200), p < 0.05]. No association between HUA and prognosis of AIS was observed at 3-month, 6-month and 12-month follow-up, either in diabetics or nondiabetics.

Conclusions: HUA independently predicted poor in-hospital outcome of AIS in diabetic patients, especially in patients aged ≤ 75 years.

Keywords: Acute ischemic stroke; diabetes; hyperuricemia; prognosis; uric acid.

MeSH terms

  • Adult
  • Aged
  • Biomarkers / blood
  • Brain Ischemia / complications*
  • Brain Ischemia / diagnosis*
  • Brain Ischemia / epidemiology
  • Diabetes Complications* / blood
  • Diabetes Complications* / epidemiology
  • Female
  • Follow-Up Studies
  • Humans
  • Hyperuricemia / complications*
  • Hyperuricemia / diagnosis
  • Hyperuricemia / epidemiology
  • Male
  • Middle Aged
  • Prognosis
  • Prospective Studies
  • Stroke / complications*
  • Stroke / diagnosis*
  • Stroke / epidemiology

Substances

  • Biomarkers