Comparison of Prediction Models based on Risk Factors and Retinal Characteristics Associated with Recurrence One Year after Ischemic Stroke

Zhuo, Yuanyuan; Wu, Jiaman; Qu, Yimin; Yu, Haibo; Yuan, Weiqu; Yang, Zhuoxin

doi:10.1016/j.jstrokecerebrovasdis.2019.104581

Cited by 17 publications

(13 citation statements)

References 22 publications

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“…The pediatric unit was kept open. Children have milder clinical features than adults (45,46). Those with comorbidities may need intensive care (47).…”

Section: Clinical Findings: a Glance From The Specialistsmentioning

confidence: 99%

The Many Faces of Covid-19 at a Glance: A University Hospital Multidisciplinary Account From Milan, Italy

Priori

Baisi

Banderali

et al. 2021

Front. Public Health

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In March 2020, northern Italy became the second country worldwide most affected by Covid-19 and the death toll overtook that in China. Hospital staff soon realized that Covid-19 was far more severe than expected from the few data available at that time. The Covid-19 pandemic forced hospitals to adjust to rapidly changing circumstances. We report our experience in a general teaching hospital in Milan, the capital of Lombardy, the most affected area in Italy. First, we briefly describe Lombardy's regional Covid-19-related health organizational changes as well as general hospital reorganization. We also provide a multidisciplinary report of the main clinical, radiological and pathological Covid-19 findings we observed in our patients.

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“…The pediatric unit was kept open. Children have milder clinical features than adults (45,46). Those with comorbidities may need intensive care (47).…”

Section: Clinical Findings: a Glance From The Specialistsmentioning

confidence: 99%

The Many Faces of Covid-19 at a Glance: A University Hospital Multidisciplinary Account From Milan, Italy

Priori

Baisi

Banderali

et al. 2021

Front. Public Health

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“…Since then, further studies have analysed samples from the same cohorts and have produced results that align with previous findings (Evans et al, 2016; Kaffashian et al, 2016; Windham et al, 2015). WMLs have also been found to significantly increase the risk of recurrent stroke, as demonstrated by several prospective cohort studies over the years (Appelros et al, 2005; Debette & Markus, 2010; Fu et al, 2005; Gerdes et al, 2006; Imaizumi et al, 2014; Imaizumi et al, 2015; Kim et al, 2014; Naka et al, 2006; Nam et al, 2017; Yamauchi et al, 2002; Yuanyuan et al, 2020). Table 4 outlines key findings from these studies.…”

Section: Clinical Implications Of White Matter Lesionsmentioning

confidence: 86%

“…Although the specific mechanisms of WML pathogenesis are incompletely elucidated, these lesions are primarily thought to arise from diseased cerebral small vasculature (Etherton et al, 2016). While previously thought to be an innocuous radiological finding, investigation over recent decades has established the clinical significance of WMLs, outlining their association with stroke (Huo, Chen, et al, 2020; Kaffashian et al, 2016; Yuanyuan et al, 2020), cognitive decline (Inaba et al, 2011), dementia (Kim et al, 2015), depression (Poggesi et al, 2011; Wang et al, 2014), gait (Kreisel et al, 2013), urinary abnormalities (Poggesi et al, 2008), Parkinson disease (Huang et al, 2020; Huo, Hong, et al, 2020; Laat et al, 2012; Veselý et al, 2016) and mortality (Hasan et al, 2019), to name a few. WMH plays a particularly significant role in acute ischaemic stroke, having been identified as a negative prognostic biomarker for risk of stroke (Kaffashian et al, 2016) and unfavourable post‐stroke outcomes (Huo, Chen, et al, 2020), including functional outcomes and mortality.…”

Section: Introductionmentioning

confidence: 99%

Emerging role of white matter lesions in cerebrovascular disease

Rastogi

Weissert

Bhaskar

2021

Eur J of Neuroscience

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White matter lesions have been implicated in the setting of stroke, dementia, intracerebral haemorrhage, several other cerebrovascular conditions, migraine, various neuroimmunological diseases like multiple sclerosis, disorders of metabolism, mitochondrial diseases and others. While much is understood vis a vis neuroimmunological conditions, our knowledge of the pathophysiology of these lesions, and their role in, and implications to, management of cerebrovascular diseases or stroke, especially in the elderly, are limited. Several clinical assessment tools are available for delineating white matter lesions in clinical practice. However, their incorporation into clinical decision‐making and specifically prognosis and management of patients is suboptimal for use in standards of care. This article sought to provide an overview of the current knowledge and recent advances on pathophysiology, as well as clinical and radiological assessment, of white matter lesions with a focus on its development, progression and clinical implications in cerebrovascular diseases. Key indications for clinical practice and recommendations on future areas of research are also discussed. Finally, a conceptual proposal on putative mechanisms underlying pathogenesis of white matter lesions in cerebrovascular disease has been presented. Understanding of pathophysiology of white matter lesions and how they mediate outcomes is important to develop therapeutic strategies.

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“…Other imaging tests, such as CT and angiography, help in identifying the location hours after strokes, but one of the problems using CT is the high radiation dose. Since the changes in retinal vessels can re ect some abnormalities in the cerebrovascular system, retinal characteristics might also provide information for diagnosis and treatment of brain diseases [27][28][29]. To our knowledge, no study has investigated the association between retinal characteristics and stroke sides.…”

Section: Discussionmentioning

confidence: 99%

Stroke Side Identification in the Brain by Retinal Image Analysis

Zhuo

Lin

Yang

et al. 2021

Preprint

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Purpose To establish a prediction model for stroke side identification.Methods A total of 168 patients (89 left-sided stroke patients and 79 right-sided stroke patients) were recruited from the Shenzhen Traditional Chinese Medicine Hospital in the study. Retinal characteristics were analyzed using an automated retinal image analysis (ARIA) system. Multivariable logistic regression was used to identify and develop predictive models. Results Each unit increase in the right eye bifurcation coefficient of arterioles increased the risk of right-side stroke by 7.523 times (95% CI, 1.823-31.044). Additionally, an elevated bifurcation coefficient of venules in the right eye also increased the risk of stroke in the right side of the brain, with an odds ratio (OR) of 7.377 (95% CI, 1.771-30.724). A complex retinal composite score was also associated with a higher risk of right-side stroke (OR, 4.955; 95% CI, 3.061-8.022). Conclusion This study demonstrated that retinal image analysis can provide useful information for stroke side identification and the specific retinal characteristics may help in predicting stroke occurrence.

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Comparison of Prediction Models based on Risk Factors and Retinal Characteristics Associated with Recurrence One Year after Ischemic Stroke

Cited by 17 publications

References 22 publications

The Many Faces of Covid-19 at a Glance: A University Hospital Multidisciplinary Account From Milan, Italy

The Many Faces of Covid-19 at a Glance: A University Hospital Multidisciplinary Account From Milan, Italy

Emerging role of white matter lesions in cerebrovascular disease

Stroke Side Identification in the Brain by Retinal Image Analysis

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