Elevated circulating homocysteine and high-sensitivity C-reactive protein jointly predicts post-stroke depression

Jieyun Yin1, Chongke Zhong2, Zhengbao Zhu1

  • 1Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China.

Insights

Elevated homocysteine (HCY) and high-sensitivity C-reactive protein (hs-CRP) levels in acute ischemic stroke patients are linked to a higher risk of developing post-stroke depression (PSD). This combined effect independently predicts PSD development.

Area of Science:

  • Neurology
  • Psychiatry
  • Biomarkers

Background:

  • Post-stroke depression (PSD) is a common complication following stroke.
  • Homocysteine (HCY) and high-sensitivity C-reactive protein (hs-CRP) are potential contributing factors to PSD.
  • The combined impact of HCY and hs-CRP on PSD risk remains under investigation.

Purpose of the Study:

  • To investigate the association between combined elevated levels of homocysteine (HCY) and high-sensitivity C-reactive protein (hs-CRP) and the incidence of post-stroke depression (PSD).

Main Methods:

  • A cohort of 598 acute ischemic stroke patients were analyzed.
  • PSD was assessed using the 24-item Hamilton Depression Rating Scale at 3 months post-stroke.
  • Statistical models were used to evaluate the combined effect of HCY and hs-CRP on PSD risk.

Main Results:

  • 40.30% of patients developed PSD.
  • Elevated HCY (≥14.65 μmol/l) and hs-CRP (≥1.90 mg/l) coexistence was associated with a 1.90-fold increased odds of PSD.
  • The combination of HCY and hs-CRP improved risk reclassification for PSD when added to conventional risk factors.

Conclusions:

  • The coexistence of high HCY and high hs-CRP levels during the acute phase of ischemic stroke is associated with an increased risk of subsequent PSD.
  • This association is independent of established conventional risk factors.
  • Combined HCY and hs-CRP levels may serve as valuable biomarkers for predicting PSD risk.
Abstract

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