Publications by authors named "Joonnyung Heo"

Background: Intensive blood pressure (BP) management within 24 h after successful reperfusion following endovascular thrombectomy (EVT) is associated with worse functional outcomes than conventional BP management in Asian randomized controlled trials. Given the high prevalence of intracranial atherosclerotic stenosis (ICAS) in Asia, ICAS may influence these outcomes.

Aims: We aimed to assess whether ICAS affects the outcomes of intensive BP management after successful EVT.

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Background And Purpose: Rescue stent (RS) is an accepted rescue option after failed mechanical thrombectomy (MT) for acute ischemic stroke due to intracranial atherosclerotic stenosis (ICAS)-related large vessel occlusion (LVO). However, the long-term outcomes (≥ 12 months) of RS have not yet been elucidated.

Materials And Methods: We retrospectively analyzed the data of 154 patients with RS for ICAS-related LVO, which were identified from prospectively maintained multicenter database of RS after MT failure, to assess good outcome (mRS 0-2), mortality, stroke recurrence, symptomatic intracranial hemorrhage (SICH) and stent patency.

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The association between arterial stiffness and outcome after endovascular treatment (EVT) is unknown. This study investigated whether arterial stiffness predicts post-EVT outcome in patients with acute ischemic stroke. This retrospective and observational cohort study included consecutive patients treated with EVT for acute ischemic stroke from June 2020 to November 2022.

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Background: Multiple attempts of thrombectomy have been linked to a higher risk of intracerebral hemorrhage and worsened functional outcomes, potentially influenced by blood pressure (BP) management strategies. Nonetheless, the impact of intensive BP management following successful recanalization through multiple attempts remains uncertain.

Aims: This study aimed to investigate whether conventional and intensive BP managements differentially affect outcomes according to multiple-attempt recanalization (MAR) and first-attempt recanalization (FAR) groups.

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Vascular aging phenotype may be useful in predicting stroke prognosis. In the present study, the relationship between vascular aging phenotypes and outcomes after acute ischemic stroke was investigated. The study included consecutive patients with acute ischemic stroke who had brachial-ankle pulse wave velocity (baPWV) measured to assess vascular aging phenotype.

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The prognosis of patients with embolic stroke of undetermined source (ESUS) may vary according to the underlying cause. Therefore, we aimed to divide ESUS into subtypes and assess the long-term outcomes. Consecutive patients with acute ischemic stroke who underwent a comprehensive workup, including transesophageal echocardiography and prolonged electrocardiography monitoring, were enrolled.

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Importance: The associations between blood pressure (BP) decreases induced by medication and functional outcomes in patients with successful endovascular thrombectomy remain uncertain.

Objective: To evaluate whether BP reductions induced by intravenous BP medications are associated with poor functional outcomes at 3 months.

Design, Setting, And Participants: This cohort study was a post hoc analysis of the Outcome in Patients Treated With Intra-Arterial Thrombectomy-Optimal Blood Pressure Control trial, a comparison of intensive and conventional BP management during the 24 hours after successful recanalization from June 18, 2020, to November 28, 2022.

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Background: The effectiveness of endovascular treatment for in-hospital stroke remains debatable. We aimed to compare the outcomes between patients with in-hospital stroke and community-onset stroke who received endovascular treatment.

Methods: This prospective registry-based cohort study included consecutive patients who underwent endovascular treatment from January 2013 to December 2022 and were registered in the Selection Criteria in Endovascular Thrombectomy and Thrombolytic Therapy study and Yonsei Stroke Cohort.

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Objectives: This study explores whether textural features from initial non-contrast CT scans of infarcted brain tissue are linked to hemorrhagic transformation susceptibility.

Materials And Methods: Stroke patients undergoing thrombolysis or thrombectomy from Jan 2012 to Jan 2022 were analyzed retrospectively. Hemorrhagic transformation was defined using follow-up magnetic resonance imaging.

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This study aimed to investigate whether there was a difference in one-year outcome after stroke between patients treated with antiplatelet and anticoagulation (OAC + antiplatelet) and those with anticoagulation only (OAC), when comorbid atherosclerotic disease was present with non-valvular atrial fibrillation (NVAF). This was a retrospective study using a prospective cohort of consecutive patients with ischemic stroke. Patients with NVAF and comorbid atherosclerotic disease were assigned to the OAC + antiplatelet or OAC group based on discharge medication.

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Objectives: To develop and validate a deep learning model for predicting hemorrhagic transformation after endovascular thrombectomy using dual-energy computed tomography (CT).

Materials And Methods: This was a retrospective study from a prospective registry of acute ischemic stroke. Patients admitted between May 2019 and February 2023 who underwent endovascular thrombectomy for acute anterior circulation occlusions were enrolled.

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Importance: Optimal blood pressure (BP) control after successful reperfusion with endovascular thrombectomy (EVT) for patients with acute ischemic stroke is unclear.

Objective: To determine whether intensive BP management during the first 24 hours after successful reperfusion leads to better clinical outcomes than conventional BP management in patients who underwent EVT.

Design, Setting, And Participants: Multicenter, randomized, open-label trial with a blinded end-point evaluation, conducted across 19 stroke centers in South Korea from June 2020 to November 2022 (final follow-up, March 8, 2023).

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Article Synopsis
  • The study developed and validated machine learning models to diagnose ischemic stroke patients with cancer by analyzing histopathologic images of thrombi from endovascular thrombectomy.
  • Researchers conducted a retrospective analysis on a large patient registry from South Korea, including data from 182 patients across 6 hospitals between 2017 and 2021, using advanced imaging techniques and algorithms.
  • Results showed that the machine learning models, particularly the platelet model, achieved high accuracy in identifying cancer-related causes in stroke patients, even in those with undiagnosed cancer, indicating its potential for clinical use.
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We investigated the prognostic impact of central blood pressure (BP) on outcomes in patients with embolic stroke of undetermined source (ESUS). The prognostic value of central BP according to ESUS subtype was also evaluated. We recruited patients with ESUS and data on their central BP parameters (central systolic BP [SBP], central diastolic BP [DBP], central pulse pressure [PP], augmentation pressure [AP], and augmentation index [AIx]) during admission.

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Objectives: This study investigated the clinical and radiological features of antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) patients with acute brain infarction, using a cohort of Korean patients with AAV.

Methods: This study included 263 patients with AAV. Acute brain infarction was defined as infarction that occurred within 7 days or less.

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Background And Purpose: Left atrial or left atrial appendage (LA/LAA) thrombi are frequently observed during cardioembolic evaluation in patients with ischemic stroke. This study aimed to investigate stroke outcomes in patients with LA/LAA thrombus.

Methods: This retrospective study included patients admitted to a single tertiary center in Korea between January 2012 and December 2020.

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Article Synopsis
  • The study investigates the relationship between stroke risk scores (CHADS2, CHA2DS2-VASc, ATRIA, Essen) and outcomes in patients who underwent endovascular thrombectomy (EVT).
  • Data from a nationwide registry revealed that 52.7% of the 404 patients had unfavorable outcomes, with higher scores in those cases compared to favorable outcomes.
  • The findings suggest that CHADS2 and ATRIA scores are significantly linked to poor outcomes after EVT and can help predict these unfavorable outcomes in patients.
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Background: Understanding the factors related to early neurologic deterioration (END) is crucial in the management of patients with lacunar infarction. Blood viscosity is a significant factor for microvascular perfusion. We investigated the association between blood viscosity and occurrence of END in lacunar infarction.

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Background: Patients with ischemic stroke are at high risk for post-stroke depression (PSD). There are limited data regarding the clinical impact of early PSD, assessed in hospitalized patients with acute ischemic stroke.

Methods: This hospital-based observational cohort study included consecutive patients with acute ischemic stroke or transient ischemic attack between July 2019 and June 2021.

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We investigated the association of low ankle-brachial index (ABI < 0.9) with major adverse cardiovascular events (MACE) and all-cause mortality in patients with embolic stroke of undetermined source (ESUS) as well as whether the association differed by ESUS subtype. This retrospective single-center study included ESUS patients who underwent transesophageal echocardiography and ABI during hospitalization.

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Purpose: We previously developed learning models for predicting the need for intensive care and oxygen among patients with coronavirus disease (COVID-19). Here, we aimed to prospectively validate the accuracy of these models.

Materials And Methods: Probabilities of the need for intensive care [intensive care unit (ICU) score] and oxygen (oxygen score) were calculated from information provided by hospitalized COVID-19 patients (n=44) via a web-based application.

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Background And Objectives: A machine learning technique for identifying hidden coronary artery disease (CAD) might be useful. We developed and validated machine learning models to predict patients with hidden CAD and to assess long-term outcomes in patients with acute ischemic stroke.

Methods: Multidetector coronary CT was performed for patients without a known history of CAD.

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