Shanshan Diao

Dr. Shanshan Diao


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
5 August 2022 in Frontiers in Neurology
Verified
Journal Article
Open access
JHJianian Hua
Jianian Hua
YZYixiu Zhou
Yixiu Zhou
LCLicong Chen
Licong Chen
XTXiang Tang
Xiang Tang
SDShanshan Diao
Shanshan Diao
QFqi Fang
qi Fang
Objectives: Cognitive impairment may affect one-third of stroke survivors. Cardiovascular risk factors and stroke severity were known to be associated with cognitive function after stroke. However, it is unclear whether cardiovascular risk factors directly affect cognition after stroke, indirectly affect cognition by changing stroke severity, or both. Moreover, the effect of a combination of hypertension and diabetes mellitus was conflicting. We aimed to investigate the multiple direct and indirect associations and inspire potential intervention strategies.Materials and methods: From February 2020 to January 2021, 350 individuals received cognitive tests within 7 days after incident stroke. Cognitive tests were performed using the Chinese version of the Mini-Mental State Examination (MMSE). A moderated mediation model was constructed to test the indirect associations between cardiovascular and demographic risk factors and cognition mediated through stroke severity, the direct associations between risk factors and cognition, and the moderating effects of hypertension and diabetes.Results: Age (estimate, −0.112), atrial fibrillation (estimate, −4.092), and stroke severity (estimate, −1.994) were directly associated with lower cognitive function after stroke. Vascular disease (estimate, 1.951) and male sex (estimate, 2.502) were directly associated with better cognition after stroke. Higher education level was associated with better cognition directly (estimate, 1.341) and indirectly (estimate, 0.227) through stroke severity. The combination of hypertension decreased the magnitude of the negative association between atrial fibrillation and cognition (estimate, from −4.092 to −3.580).Conclusion: This is the first Chinese study exploring the moderated and mediating associations between cardiovascular risk factors, stroke severity, and cognitive function after stroke. Age, female sex, and atrial fibrillation were directly associated with lower cognition after stroke. The combination of hypertension might have a positive effect on cognition.

16 October 2020 in Frontiers in Neurology
Verified
Journal Article
Open access
PDF file
YQYiren Qin
Yiren Qin
XQXiaoyan Qian
Xiaoyan Qian
XLXue Luo
Xue Luo
YLYuanfang Li
Yuanfang Li
DWDapeng Wang
Dapeng Wang
HZHongru Zhao
Hongru Zhao
Background: Plasma lipoprotein-associated phospholipase A2 (Lp-PLA2) has emerged as a novel biomarker for coronary atherosclerosis. However, the association between Lp-PLA2 and plaque vulnerability in atherosclerosis of cervicocerebral arteries remains poorly defined, especially for intracranial atherosclerotic stenosis (ICAS). We aimed to investigate the association between Lp-PLA2 and plaque vulnerability in transient ischemic attack (TIA) patients with unilateral middle cerebral artery stenoses (MCAs). Methods: In this study, a total of 207 patients were enrolled from April 2017 to April 2020. Clinical data were collected, and MCA plaques were examined with high-resolution magnetic resonance imaging (HRMRI). Baseline characteristics of patients were collected during hospitalization. Statistical comparisons were performed using Pearson's chi-squared test, Mann–Whitney U test, and the Breslow–Day/Tarone's test for the determination of heterogeneity in different age strata. Multivariate binary logistic analysis was used to investigate the potential independent predictors that were highly correlated to plaque vulnerability. Results: The results showed that a high Lp-PLA2 level (>221 ng/ml) was associated with plaque vulnerability in TIA patients with unilateral MCAs. High Lp-PLA2 was independently associated with plaque vulnerability in patients ≤ 60 years old [multivariate adjusted odds ratio (OR) = 9.854; 95% CI, 2.458–39.501] but not in patients >60 years old (multivariate adjusted OR = 1.901; 95% CI, 0.640–5.650). Predictors of plaque vulnerability in different age strata were also different. Conclusion: Lp-PLA2 levels may be correlated to plaque vulnerability in TIA patients with unilateral MCAs and might be a diagnostic biomarker for plaque vulnerability in this kind of patients, especially for ones aged ≤ 60 years old.

3 June 2022 in European Journal of Medical Research
Verified
Journal Article
Open access
PDF file
TLTan Li
Tan Li
QYQiannan Yu
Qiannan Yu
YWYiqing Wang
Yiqing Wang
XCXiuying Cai
Xiuying Cai
YKYan Kong
Yan Kong
QFQi Fang
Qi Fang
Background: C-reactive protein (CRP) is an important biomarker of inflammation and plays a pivotal role in predicting the clinical prognosis of cardiovascular and cerebrovascular diseases. However, the mechanism of inflammation influencing the outcome of patients with ischemic stroke are unknown. Aims: We aim to investigate the association between hsCRP and mRS in 194 eligible patients by therapy-stratified analyses. Methods: The modification effects of antiplatelet therapy on the association between mRS and different exposure variables were analyzed. The retained variables were analyzed in the receiver operating characteristic (ROC) curve to discriminate patients with poor outcome. Results: hsCRP was positively correlated with mRS in therapy-stratified analyses. There was a statistical modification effect of antiplatelet therapy on the association of hsCRP and mRS (P for interaction = 0.0101). The discriminative effect of poor outcome was further verified by ROC curve analyses (AUCwith from 0.758 to 0.872, AUCwithout from 0.709 to 0.713). Conclusions: hsCRP is correlated with the clinical outcome of patients treated with IVrt-PA, and may be a better predictor of post-thrombolytic functional outcome in patients with previous antiplatelet therapy than in non-used patients.

7 July 2021 in medRxiv
Verified
Preprint
Open access
PDF file
JHJianian Hua
Jianian Hua
YZYixiu Zhou
Yixiu Zhou
LCLicong Chen
Licong Chen
SDShanshan Diao
Shanshan Diao
QFqi Fang
qi Fang
Introduction Cognitive impairment may affect one third of the stroke survivors. Cardiovascular risk factors have been described to be risk factors for lower cognition after stroke. However, most previous studies only used multivariate regression models to learn the association. The aim of our study was to investigate whether the effect of cardiovascular risk factors on cognition after stroke was mediated by stroke severity, the estimated effect of direct and indirect pathways, and the moderated association. Method In this incident cross-sectional study, 300 stroke patients received cognitive test within seven days after stroke. Cognitive tested was performed by the Chinese version of Mini-Mental State Examination (MMSE). A second stage dual moderated mediation model was used the select moderation variables. Finally, we constructed a structural equation model to test the indirect effects of cardiovascular and demographic factors on cognition stroke severity, the direct effects of predictors on cognition, and the moderated effects of hypertension. Results Age (estimate, -0.114; 95% bias-corrected CI, -0.205, -0.032; P<0.001), female (estimate, -2.196; 95% bias-corrected CI, -4.359, -0.204; P=0.009), lower education (estimate, -0.893; 95% bias-corrected CI, -1.662, --0.160; P<0.001), stroke severity (estimate, -1.531; 95% bias-corrected CI, -3.015, -0.095), hypertension (estimate, -2.242; 95% bias-corrected CI, -4.436, -0.242; P=0.003) and atrial fibrillation (estimate, -4.930; 95% bias-corrected CI, -12.864, -0.126; P=0.048) were directly associated with lower cognitive function after stroke. We found no evidence that cardiovascular risk factors indirectly correlated cognitive function through stroke severity. The combination of hypertension could alleviate the negative effect of atrial fibrillation on cognition (estimate, -3.928; 95% bias-corrected CI, -7.954, 0.029; P=0.009). Conclusions We explored the complex relationship between cardiovascular risk factors, stroke severity, and cognitive function after stroke. Using our method, researchers using other dataset could repeat the analysis and achieve a better understanding of the relationship. Future researchers are needed to find whether the moderated associations were casual or modifiable.