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Updated: May 22, 2025

Evaluation of the Cognitive Performance of Hypertensive Patients with Silent Cerebrovascular Lesions
Published on: April 23, 2021
Predictive Role of Blood Cell-Derived Inflammatory Markers for the Risk of Asymptomatic Cerebral Infarction in
Qinghui Zhang1, Menglin Wang1, Huiyu Du1
1Department of Hypertension, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Insights
Blood inflammatory markers like neutrophil-to-lymphocyte ratio (NLR) can predict acute cardiovascular events (ACI) in essential hypertension (EH) patients. Higher levels of NLR, platelet-to-lymphocyte ratio (PLR), systemic immune inflammation index (SII), and systemic inflammation response index (SIRI) are associated with increased ACI risk.
Area of Science:
- Clinical Neurology and Asymptomatic cerebral infarction risk.
- Cardiovascular Medicine and Hypertension.
- Hematological Immunology and Biomarker Discovery.
Background:
Chronic elevation of arterial pressure frequently precipitates silent neurological damage before overt clinical symptoms manifest. Prior research has shown that systemic inflammation serves as a fundamental driver in the progression of vascular remodeling and atherosclerotic plaque instability. Essential Hypertension (EH) remains a primary risk factor for subclinical brain lesions, yet the specific hematological signals identifying early-stage ischemia remain poorly defined. Traditional diagnostic imaging for detecting silent strokes often requires expensive resources that are not universally accessible for routine screening. Clinicians require cost-effective, readily available biological indicators to stratify patients based on their likelihood of developing occult cerebrovascular events. This absence of evidence motivated the current investigation into how specific leukocyte-derived ratios might serve as early warning signals for neural tissue damage.
Purpose Of The Study:
This investigation evaluates the association between blood cell-derived inflammatory markers and the presence of silent brain lesions in individuals with high blood pressure. Researchers sought to determine if specific indices like the Systemic Immune Inflammation Index (SII) could accurately differentiate between hypertensive patients with and without occult strokes. The analysis focuses on quantifying the predictive capacity of the Platelet-to-Lymphocyte Ratio (PLR) and the Neutrophil-to-Lymphocyte Ratio (NLR) within this specific cohort. Determining the independent contribution of the Systemic Inflammation Response Index (SIRI) to cerebrovascular risk represents a core objective of the work. The team also intended to establish optimal diagnostic thresholds for these hematological parameters to facilitate clinical decision-making. By comparing these four distinct metrics, the study identifies which inflammatory signature provides the most robust indication of neurological compromise.
Main Methods:
The research team recruited a total of 583 participants diagnosed with Essential Hypertension (EH) from a population in Central China. Investigators partitioned the cohort into two distinct groups based on the presence or absence of Asymptomatic Cerebral Infarction (ACI) confirmed via imaging. Laboratory technicians calculated the Platelet-to-Lymphocyte Ratio (PLR) and Neutrophil-to-Lymphocyte Ratio (NLR) using standardized complete blood count data. The Systemic Immune Inflammation Index (SII) and Systemic Inflammation Response Index (SIRI) were derived through specific mathematical combinations of neutrophil, lymphocyte, monocyte, and platelet counts. Multivariate logistic regression analysis allowed the scientists to adjust for confounding variables while assessing the independent risk associated with each marker. Receiver Operating Characteristic (ROC) curve analysis provided the framework for evaluating the discriminative accuracy and Area Under the Curve (AUC) for each index.
Main Results:
Patients in the Asymptomatic Cerebral Infarction (ACI) group demonstrated significantly elevated levels of all four inflammatory markers compared to the non-infarction cohort. The Neutrophil-to-Lymphocyte Ratio (NLR) emerged as a potent independent predictor with an odds ratio of 1.573 and a 95% confidence interval of 1.225 to 2.021. Analysis of the Systemic Inflammation Response Index (SIRI) revealed an even higher odds ratio of 1.851, indicating a strong correlation with increased stroke risk. When comparing the highest and lowest quartiles, the SIRI exhibited a substantial odds ratio of 3.372, while the NLR followed closely at 3.049. The Receiver Operating Characteristic (ROC) curves identified this leukocyte ratio as having the highest discriminative ability with an Area Under the Curve (AUC) of 0.632. Specific cut-off values were established for clinical utility, including 125.834 for PLR and 532.011 for the Systemic Immune Inflammation Index (SII).
Conclusions:
These findings suggest that hematological ratios provide a valuable, non-invasive method for identifying hypertensive patients at high risk for silent neurological events. The integration of the Neutrophil-to-Lymphocyte Ratio (NLR) into routine clinical assessments could enhance early detection strategies for cerebrovascular complications. Utilizing these inflammatory indices allows for more precise risk stratification in the management of Essential Hypertension (EH). Future research should explore whether therapeutic interventions targeting these systemic inflammatory pathways can reduce the incidence of occult brain damage. The study highlights the potential for the Systemic Inflammation Response Index (SIRI) and Systemic Immune Inflammation Index (SII) to serve as screening tools in resource-limited settings. Implementing these biomarkers may ultimately improve long-term outcomes by enabling earlier preventative measures against progressive cognitive decline or future symptomatic strokes.
Objective:
This study aimed to investigate the relationship between ACI and blood cell-derived inflammatory markers including platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), systemic immune inflammation index (SII) and systemic inflammation response index (SIRI) in an essential hypertensive (EH) cohort, and assess the predictive value of these inflammatory markers for ACI risk in this population.
Methods:
A total of 583 EH patients were included and categorized into ACI (123 patients) and non-ACI (NACI) (460 patients) groups. Multivariate logistic regression analysis was performed to explore the relationship of PLR, NLR, SII and SIRI to ACI risk in EH population. We also used receiver operating characteristic curve analysis to assess the discriminative ability of four inflammatory markers in predicting ACI risk in EH population.
Results:
ACI group exhibited higher levels of inflammatory markers (PLR, NLR, SII, and SIRI) compared to NACI group (P < 0.05). PLR (odds ratio (OR): 1.006, 95% confidence interval (CI): 1.001-1.011, P = 0.023), NLR (OR: 1.573, 95% CI: 1.225-2.021, P < 0.001), SII (OR: 1.002, 95% CI: 1.001-1.003, P < 0.001) and SIRI (OR: 1.851, 95% CI: 1.290-2.656, P = 0.001) were independent factors for ACI risk in EH patients. The odds ratios of the highest versus lowest quartile of PLR, NLR, SII and SIRI were 2.090 (95% CI 1.085-4.024), 3.049 (95% CI 1.509-6.161),2.464 (95% CI 1.278-4.749) and 3.372 (95% CI 1.709-6.652), respectively. PLR, NLR, SII, SIRI were characterized by area under the curve (0.586, 0.632, 0.591, 0.617) and cut-off value (125.834, 2.468, 532.011, 0.934), respectively.
Conclusion:
The findings suggested that PLR, SII, SIRI, especially NLR were of significant value biomarkers to positively predict ACI risk in EH population.
Frequently Asked Questions
Based on this study's findings, elevated ratios of neutrophils and platelets relative to lymphocytes indicate a systemic inflammatory state that correlates with asymptomatic cerebral infarction risk. These markers reflect the vascular inflammation and immune activation that contribute to subclinical neural tissue damage in hypertensive patients.
The Neutrophil-to-Lymphocyte Ratio (NLR) showed the highest discriminative ability with an Area Under the Curve (AUC) of 0.632. The Systemic Inflammation Response Index (SIRI) also yielded a high odds ratio of 1.851, suggesting it is a potent independent factor for predicting infarction.
Researchers used ROC curve analysis to determine the diagnostic accuracy and optimal cut-off values for markers like the Systemic Immune Inflammation Index (SII). This method revealed a specific threshold of 532.011 for SII to effectively distinguish between patients with and without silent brain lesions.
The results are specifically confined to individuals with Essential Hypertension (EH) from a population-based cohort in Central China. The study focuses on predicting the risk of Asymptomatic Cerebral Infarction (ACI) rather than symptomatic strokes or other forms of hypertensive end-organ damage.
The study's authors propose that Platelet-to-Lymphocyte Ratio (PLR), SII, and SIRI, particularly NLR, are significant biomarkers for identifying high-risk hypertensive individuals. They conclude that these cost-effective tools can enhance early screening and risk stratification for silent cerebrovascular events in clinical practice.
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