Residual inflammatory risk and vulnerable plaque in the carotid artery in patients with ischemic stroke.

Objective: Inflammation is a central driver of atherogenesis and eventual plaque rupture. This study aimed to evaluate the association between residual inflammatory risk (RIR) and vulnerable plaques in the carotid artery in patients with ischemic stroke. Methods: Patients with acute ischemic stroke were enrolled from January 2021 to July 2022. They were divided into four groups: RIR only (LDL-C <2.6 mmol/L and hsCRP ≥2 mg/L), residual cholesterol risk (RCR) only (LDL-C ≥2.6 mmol/L and hsCRP <2 mg/L), both risk or residual cholesterol and inflammatory risk (RCIR) (LDL-C ≥2.6 mmol/L and hsCRP ≥2 mg/L), and neither risk (LDL-C <2.6 mmol/L and hsCRP <2 mg/L). Vulnerable plaques were determined if it had a low attenuated plaque CT value of <35 Hounsfield Units (HU) and a remodeling index of >1.1, which indicated a positive remodeling. Results: Out of the 468 enrolled patients, 157 (33.5%) were detected to have vulnerable plaques. The proportion of patients with neither risk, RIR, RCR, and RCIR were 32.9%, 28.6%, 18.8%, and 19.7%, respectively. Patients with vulnerable plaques exhibited a higher prevalence of hyperlipidemia (P = 0.026), higher proportion of RIR (P = 0.015), a higher ratio of stroke subtypes of large artery atherosclerosis (P = 0.012), and high leukocyte counts (P < 0.001). The logistic regression analysis detected that RIR was associated with vulnerable plaques after adjusted for major confounding factors (OR 1.98, 95% CI 1.13-3.45, P = 0.016), especially in the large artery atherosclerosis subtype (OR 2.71, 95% CI 1.08-6.77, P = 0.034). Conclusions: In patients with ischemic stroke, RIR is associated with the vulnerability of carotid plaques, especially for those with the large artery atherosclerosis subtype. Therefore, further studies investigating the interventions to modulate inflammation in these patients may be warranted.

High Uric Acid Level Predicts Early Neurological Deterioration in Intracerebral Hemorrhage.

OBJECTIVE: Increased level of serum uric acid (UA) is often considered a risk factor for ischemic stroke. However, there are limited data on the association between UA and intracerebral hemorrhage (ICH). This study aimed to examine the connection between UA and early neurological deterioration (END) in patients with ICH. METHODS: This is a prospective observational study. Patients with ICH were enrolled from January 2017 to December 2020. END was diagnosed as the Canadian Stroke Scale (CSS) score decreased ≥1 points between admission and 48 hours. UA was measured at admission. Multivariable logistic regression analysis was performed to explore the relationship between serum UA and END. RESULTS: Of the 498 enrolled patients, 132 (26.5%) were developed with END. Patients with END had a significantly higher level of serum UA (332 vs 270 µmol/L, P < 0.001). Univariate logistic regression analysis indicated that patients with the highest quartile of UA level had an OR of 3.256 (95% CI: 1.849-5.734, P < 0.001) for END compared with those with the lowest quartile of UA level. After adjusting for major confounders, the highest UA quartile remained as an independent predictor for END (OR = 2.282, 95% CI: 1.112-4.685, P = 0.013). CONCLUSION: Higher serum UA level was independently associated with END in patients with ICH; therefore, intervention to lower UA level may be worth considering.

Elevated Neutrophil-to-Lymphocyte Ratio Predicts Depression After Intracerebral Hemorrhage.

PURPOSE: Inflammation plays a critical role in the development of depression after intracerebral hemorrhage (ICH), while neutrophil-to-lymphocyte ratio (NLR) has been identified as a novel comprehensive inflammatory indicator in recent years. The aim of this study was to examine the association between NLR and depression after ICH. PATIENTS AND METHODS: From January 2016 to December 2018, ICH patients were prospectively enrolled. NLR was measured at admission. Depression at 3 months after ICH was diagnosed according to the Hamilton Depression Scale (HAMD). RESULTS: Of the 372 enrolled patients, 107 (28.8%) were diagnosed with depression at 3 months after ICH. Patients with depression had a higher NLR (6.15 vs 3.55, P < 0.001). Logistic regression analysis detected that after adjusting for major confounders, NLR remained independently associated with depression after ICH (OR = 2.25, 95% CI: 1.45-3.49, P < 0.001). Moreover, NLR acted as the optimal variable for prediction, with the optimal predictive threshold of 4.53 in ROC analysis. CONCLUSION: Elevated NLR is associated with depression at 3 months after ICH, suggesting that NLR may be a significant biomarker to predict depression after ICH.