ArticleBMC neurology2020
Early prediction of cerebral-cardiac syndrome after ischemic stroke: the PANSCAN scale.
Article in BMC neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 14 citations in OpenAlex.
- Insights into the pathophysiology of stroke-heart syndrome: a review of recent literature and clinical trials to illuminate promising therapeutic strategies.Annals of medicine and surgery (2012) · 2026Article
- Predictive value of lipopolysaccharide for cerebral-cardiac syndrome, stroke-associated pneumonia, and prognosis in acute ischemic stroke.Biomarker research · 2026Article
- Diagnostic value of cardiovascular biomarkers for cerebral-cardiac syndrome risk in acute ischemic stroke.Frontiers in medicine · 2026Article
- Machine learning-based prediction model for post-stroke cerebral-cardiac syndrome: a risk stratification study.Scientific reports · 2025Article
- Early Risk Prediction Model for Stroke-Heart Syndrome Following Endovascular Therapy.Aging and disease · 2025Article
- Unravelling the role of electrocardiogram changes and ejection fraction in ischaemic stroke outcomes.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2025Review
- The predictive value of optic nerve sheath diameter measurement via ultrasound for intracerebral hemorrhage complicated by cerebral-cardiac syndrome.BMC neurology · 2025Article
- Stroke-heart syndrome: current progress and future outlook.Journal of neurology · 2024Review
- Post-Ischemic Stroke Cardiovascular Risk Prevention and Management.Healthcare (Basel, Switzerland) · 2024Review
- Ischemic stroke prediction using machine learning in elderly Chinese population: The Rugao Longitudinal Ageing Study.Brain and behavior · 2023Article
- Relationship between serum HIF-1α and VEGF levels and prognosis in patients with acute cerebral infarction combined with cerebral-cardiac syndrome.Translational neuroscience · 2023Article
- A Novel Approach to Assessing the Severity of Acute Stroke and Neurological Deficits in Patients with Acute Ischemic Stroke Using Myocardial Work Echocardiography.Anatolian journal of cardiology · 2022Article
- Integrated care for optimizing the management of stroke and associated heart disease: a position paper of the European Society of Cardiology Council on Stroke.European heart journal · 2022Article
- Perfect storm along the neuro-cardiac axis: stroke complicated by acute biventricular dysfunction-Takotsubo syndrome or neurogenic stress cardiomyopathy?BMJ case reports · 2021Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundCerebral-cardiac syndrome, newly developed cardiac damage manifestations subsequent to cerebral injuries, is a common complication of stroke and leads to increased morbidity and mortality. The current study is aimed to develop a risk prediction scale to stratify high-risk population of CCS among ischemic stroke patients.
methodsThe study included 410 cases from four tertiary medical centers from June 2018 to April 2019. The risk prediction model was established via logistic regression from the derivation cohort including 250 cases admitted between June 2018 and December 2018. Another 160 cases admitted from January 2019 to April 2019 were included as the validation cohort for external validation. The performance of the model was determined by the area under curve of the receiver operating characteristic curve. A rating scale was developed based on the magnitude of the logistic regression coefficient.
resultsThe prevalence of CCS was 55.2% in our study. The predictive model derived from the derivation cohort showed good calibration by Hosmer-Lemeshow test (P = 0.492), and showed sensitivity of 0.935, specificity of 0.720, and Youden index of 0.655. The C-statistic for derivation and validation cohort were 0.888 and 0.813, respectively. Our PANSCAN score (0 to 10 points) was then established, which consists of the following independent risk factors: PT(12 s-14 s = 0; otherwise = 1), APTT(30s-45s = 0, otherwise = 1), Neutrophils(50-70% = 0; otherwise = 1), Sex(female = 1), Carotid artery stenosis(normal or mild = 0; moderate to severe = 2), Age(≥65 years = 1), NIHSS score(1 to 4 = 2; ≥5 = 3). Patients scored 3 or more points were stratified as high risk.
conclusionThe risk prediction model showed satisfactory prediction effects. The PANSCAN scale provides convenient reference for preventative treatment and early management for high-risk patients.
trial registrationThe study was retrospectively registered in Chinese Trial Registry. The date of registration is April 17, 2019. TRIAL REGISTRATION NUMBER: ChiCTR1900022587 .
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