Multifactorial stratified analysis of two novel metabolism-related indices for predicting stroke in mild cognitive impairment - Summary - MDSpire

Multifactorial stratified analysis of two novel metabolism-related indices for predicting stroke in mild cognitive impairment

  • By

  • Boyuan Qiu

  • Hongliang Tang

  • Liangyuan Tan

  • Peng Yang

  • Wenhui Wang

  • Peipei Yang

  • Kailong Wang

  • July 13, 2026

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Objective:

To evaluate the predictive value of the C-reactive protein-triglyceride glucose index (CTI) and the Body Roundness Index (BRI) for new-onset stroke in patients with mild cognitive impairment (MCI).

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Key Findings:
  • 81 participants (8.93%) experienced a stroke during the follow-up period.
  • Each one-unit increase in CTI was associated with a 34% higher risk of stroke (OR: 1.34, 95% CI: 1.04–1.72, p < 0.05), demonstrating a significant increasing trend (P for trend < 0.05).
  • BRI showed no significant correlation with stroke occurrence (OR: 1.12, 95% CI: 0.97–1.30, p > 0.05).
  • Among MCI patients who smoked, each unit increase in CTI below 9.91 was significantly associated with elevated stroke risk (OR: 1.81, 95% CI: 1.09–3.01, p < 0.05).
  • CTI predictive performance showed no significant heterogeneity across populations (AUCs ranged from 0.55 to 0.61).
  • Optimal CTI cutoff values ranged from 8.20 to 9.28 across subgroups.
Interpretation:

CTI predicts stroke risk better than BRI among middle-aged and elderly Chinese patients with MCI.

Conclusion:

CTI is a significant predictor of stroke risk in MCI patients, highlighting its potential utility in clinical strategies for stroke prevention.

Original Source(s)

Multifactorial stratified analysis of two novel metabolism-related indices for predicting stroke in mild cognitive impairment

  • by Boyuan Qiu, Hongliang Tang, Liangyuan Tan, Peng Yang, Wenhui Wang, Peipei Yang, Kailong Wang

  • July 13, 2026

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