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A Study on the Correlation between Serum Three Indicators Levels in Early Stroke Patients and Post-stroke Cognitive Impairment
Yi DAI, Dongkang FAN, Juanjuan HUANG
Chinese Journal of Alzheimer's Disease and Related Disorders ›› 2026, Vol. 9 ›› Issue (1) : 31-34.
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Abbreviation (ISO4): Chinese Journal of Alzheimer's Disease and Related Disorders
Editor in chief: Jun WANG
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A Study on the Correlation between Serum Three Indicators Levels in Early Stroke Patients and Post-stroke Cognitive Impairment
Objective: To retrospectively investigate the correlation between the monocyte to high-density lipoprotein cholesterol ratio(MHR), tumor necrosis factor(TNF-α), and brain-derived neurotrophic factor (BDNF) levels in the serum of early stroke patients and post-stroke cognitive impairment(PSCI), and to explore the role of early serum MHR, TNF-α, and BDNF levels in predicting and evaluating PSCI. Methods: Stroke patients who were hospitalized in the Department of Neurology of the Fourth People's Hospital of Wujiang District, Suzhou City from January 2022 to June 2025 and returned to our hospital for follow-up within 6 months were selected. The cognitive function of all patients was evaluated using the Mini-Mental State Examination(MMSE). According to the MMSE results and educational background, the patients were divided into the PSCI group and the non-PSCI group. All patients had detailed blood tests. The differences in MHR, TNF-α, and BDNF levels between the two groups were statistically analyzed. Results: A total of 60 patients were collected, with 30 patients in each group. Statistical analysis showed no significant differences in gender, age, and MHR between the two groups. There were significant differences in TNF-α and BDNF levels between the two groups(P<0.05). Pearson correlation analysis showed that TNF-α level was negatively correlated with MMSE score (rs = -0.256, P = 0.048), while BDNF level was not correlated with MMSE score (rs=0.198,P=0.129). Logistic regression analysis showed that TNF-α (P<0.05, OR=0.903, 95% CI: 0.854 - 0.956) was an independent risk factor for PSCI. The area under the ROC curve for TNF-α level in predicting PSCI was 0.819 (0.711 - 0.928), and the critical value was 36.965 ng/L when the Youden index was at its maximum value of 0.600. Conclusions: The TNF-α level in early stroke patients is significantly negatively correlated with the occurrence of PSCI. A higher TNF-α level is an independent risk factor for PSCI. The TNF-α level has certain predictive and diagnostic value for the occurrence of PSCI. A serum TNF-α level higher than 36.965 ng/L may increase the risk of PSCI.
Post-stroke cognitive impairment / Monocyte to high density lipoprotein cholesterol ratio / Tumor necrosis factor / Brain-derived neurotrophic factor
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Post-stroke dementia (PSD) or post-stroke cognitive impairment (PSCI) may affect up to one third of stroke survivors. Various definitions of PSCI and PSD have been described. We propose PSD as a label for any dementia following stroke in temporal relation. Various tools are available to screen and assess cognition, with few PSD-specific instruments. Choice will depend on purpose of assessment, with differing instruments needed for brief screening (e.g., Montreal Cognitive Assessment) or diagnostic formulation (e.g., NINDS VCI battery). A comprehensive evaluation should include assessment of pre-stroke cognition (e.g., using Informant Questionnaire for Cognitive Decline in the Elderly), mood (e.g., using Hospital Anxiety and Depression Scale), and functional consequences of cognitive impairments (e.g., using modified Rankin Scale). A large number of biomarkers for PSD, including indicators for genetic polymorphisms, biomarkers in the cerebrospinal fluid and in the serum, inflammatory mediators, and peripheral microRNA profiles have been proposed. Currently, no specific biomarkers have been proven to robustly discriminate vulnerable patients ('at risk brains') from those with better prognosis or to discriminate Alzheimer's disease dementia from PSD. Further, neuroimaging is an important diagnostic tool in PSD. The role of computerized tomography is limited to demonstrating type and location of the underlying primary lesion and indicating atrophy and severe white matter changes. Magnetic resonance imaging is the key neuroimaging modality and has high sensitivity and specificity for detecting pathological changes, including small vessel disease. Advanced multi-modal imaging includes diffusion tensor imaging for fiber tracking, by which changes in networks can be detected. Quantitative imaging of cerebral blood flow and metabolism by positron emission tomography can differentiate between vascular dementia and degenerative dementia and show the interaction between vascular and metabolic changes. Additionally, inflammatory changes after ischemia in the brain can be detected, which may play a role together with amyloid deposition in the development of PSD. Prevention of PSD can be achieved by prevention of stroke. As treatment strategies to inhibit the development and mitigate the course of PSD, lowering of blood pressure, statins, neuroprotective drugs, and anti-inflammatory agents have all been studied without convincing evidence of efficacy. Lifestyle interventions, physical activity, and cognitive training have been recently tested, but large controlled trials are still missing.
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