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Background: The purpose of this prospective study was to evaluate the association of systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI), with PSCI in patients with acute ischemic stroke (AIS)., Methods: First-onset AIS patients were consecutively included from January 1, 2022 to March 1, 2023. The baseline information was collected at admission. Fasting blood was drawn the next morning. Cognitive function was assessed by the Montreal Cognitive Assessment (MoCA) 3 months after onset. Logistic regression analysis was performed to explore the correlation between SII, SIRI, and PSCI. Receiver operating characteristic (ROC) was conducted to evaluate the predictive ability of SII., Results: 332 participants were recruited, and 193 developed PSCI. Compared with patients without PSCI, the patients with PSCI had higher SII (587.75 (337.42, 988.95) vs. 345.66 (248.44, 572.89), P <0.001) and SIRI (1.59 (0.95, 2.84) vs. 1.02 (0.63, 1.55), P =0.007). SII and SIRI negatively correlated with MoCA scores (both P<0.05). The multivariable logistic regression analysis indicated that SII was independently associated with PSCI ( P <0.001), while SIRI was not. The optimal cutoff for SII to predict PSCI was 676.83×109/L., Conclusions: A higher level of SII upon admission was independently correlated to PSCI three months later in AIS patients.

Background: Post-stroke cognitive impairment (PSCI) is a very common complication of ischemic stroke (IS). Triglyceride-glucose (TyG) index was an effective alternative marker of insulin resistance (IR). This prospective study was designed to explore the correlation between TyG index and PSCI., Methods: Between January 1 2021 to June 30 2022, consecutive patients with first onset IS were enrolled prospectively. Baseline information was collected at admission and fasting blood was drawn the next morning. Montreal Cognitive Assessment (MoCA) was used to evaluate cognitive function at three months after stroke. Multiple regression analysis was used to explore the correlation between PSCI and TyG. Receiver operating characteristic (ROC) was performed to evaluate the predictive ability., Results: Ultimately, 313 patients were enrolled in this study. The TyG index was higher in patients with PSCI than those without PSCI (8.99 (8.55, 9.54) vs. 8.61(8.25, 8.87), P<0.001). The spearman correlation analysis indicated that TyG index was negatively correlated with MoCA score (r=-0.272, P<0.001). The multivariate logistic regression analysis demonstrated that TyG index was correlated with PSCI independently (P<0.001) regardless of whether the patients had diabetes or not. The area under curve (AUC) of the ROC was 0.684 (95%CI=0.635-0.768, P<0.001). The optimal cutoff value of TyG index for predicting PSCI was 8.81, with a sensitivity of 61.7% and a specificity of 73.6%., Conclusion: A higher TyG index level at admission was independently correlated with increased risk of PSCI three months later and could be used as a predictor., Competing Interests: Declaration of Competing Interest The authors declare no conflict of interest., (Copyright © 2023. Published by Elsevier Inc.)

Background: The ratio of triglycerides (TG) to high-density lipoprotein cholesterol (HDL-C) bears a relation with poor outcomes of acute ischemic stroke (AIS), but the impact of serum TG/HDL-C level on post-stroke cognitive impairment (PSCI) remains unknown. We conducted this prospective study to explore the association between TG/HDL-C and PSCI., Methods: Consecutive AIS patients from the Stroke Units of our hospital were prospectively enrolled between July 1, 2020, and June 30, 2021. Blood samples were collected within 24 h after admission. Cognition function was evaluated by the Montreal Cognitive Assessment (MoCA) at 3 months after stroke. We used logistic regression analyses to explore the relationship between TG/HDL-C and PSCI, and then used a receiver operating characteristic (ROC) analysis to assess the ability of acute TG/HDL-C for predicting PSCI., Results: A total of 227 AIS patients were recruited. Compared with patients without PSCI, those with PSCI had a higher level of TG/HDL-C at admission (P < 0.01). The multivariate logistic regression analyses showed that TG/HDL-C level was independently associated with PSCI (P < 0.01). The area under the curve of the ROC for TG/HDL-C as predictor of PSCI was 0.701 (95%CI 0.635-0.768). The optimal cutoff value of TG/HDL-C to indicate PSCI was 1.564, which gave a sensitivity of 55.2% and specificity of 80.6%., Conclusions: Our study demonstrated that a higher level of TG/HDL-C at the acute phase of ischemic stroke predicted the presence of PSCI at 3 months after stroke., (© 2022. Fondazione Società Italiana di Neurologia.)