ArticleFrontiers in neurology2022
High serum amyloid A predicts risk of cognitive impairment after lacunar infarction: Development and validation of a nomogram.
Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
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Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.
- Biomarkers of post-stroke cognitive impairment-a systematic literature review.Frontiers in behavioral neuroscience · 2026Pooled it
- Risk prediction models for post-stroke cognitive impairment: a systematic review and meta-analysis.Frontiers in neurology · 2026Pooled it
- The Managing Cancer and Living Meaningfully (CALM) Intervention Alleviates Chemotherapy-Related Cognitive Impairment in Patients with Breast Cancer by Modulating Pan-Immune-Inflammation Values.Integrative cancer therapiesTrial
- Mechanisms and biomarkers of poststroke cognitive impairment.Neural regeneration research · 2026Article
- Risk factors and clinical significance of neurodegenerative co-pathologies in symptomatic cerebral small vessel disease.Journal of neurology · 2025Article
- Development and Validation of a Nomogram for Predicting Lacunar Infarction in Patients with Hypertension.International journal of general medicine · 2024Article
- Machine learning in the prediction of post-stroke cognitive impairment: a systematic review and meta-analysis.Frontiers in neurology · 2023Article
- Druggable genome-wide Mendelian randomization analysis identifies potential treatment targets in vascular dementia.Alzheimer's & dementia (New York, N. Y.)Article
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Authors and funding
6 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Background: Post-stroke cognitive impairment (PSCI) after lacunar infarction was worth attention in recent years. An easy-to-use score model to predict the risk of PSCI was rare. This study aimed to explore the association between serum amyloid A (SAA) and cognitive impairment, and it also developed a nomogram for predicting the risk of PSCI in lacunar infarction patients. Methods: A total of 313 patients with lacunar infarction were enrolled in this retrospective study between January 2021 and December 2021. They were divided into a training set and a validation set at 70%:30% randomly. The Chinese version of the Mini-Mental State Examination (MMSE) was performed to identify cognitive impairment 3 months after discharge. Univariate and multivariate logistic regression analyses were used to determine the independent risk factors for PSCI in the training set. A nomogram was developed based on the five variables, and the calibration curve and the receiver operating characteristic (ROC) curve were drawn to assess the predictive ability of the nomogram between the training set and the validation set. The decision curve analysis (DCA) was also conducted in both sets. Results: In total, 52/313 (16.61%) participants were identified with PSCI. The SAA levels in patients with PSCI were significantly higher than non-PSCI patients in the training set ( Conclusion: The increased SAA is associated with PSCI in lacunar infarction patients, and the nomogram developed with SAA can increase prognostic information for the early detection of PSCI.
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