The allure of big data to improve stroke outcomes: review of current literature

MT Olaiya, N Sodhi-Berry, LL Dalli, K Bam… - Current neurology and …, 2022 - Springer
Abstract Purpose of Review To critically appraise literature on recent advances and methods
using “big data” to evaluate stroke outcomes and associated factors. Recent Findings …

Updated trends, disparities, and clinical impact of neuroimaging utilization in ischemic stroke in the Medicare population: 2012 to 2019

JJ Wang, CE Pelzl, A Boltyenkov, JM Katz… - Journal of the American …, 2022 - Elsevier
Objective The purpose of this study was to update trends, investigate sociodemographic
disparities, and evaluate the impact on mortality of stroke neuroimaging across the United …

Drivers of ischemic stroke hospital cost trends among older adults in the United States

EW Christensen, CE Pelzl, J Hemingway… - Journal of the American …, 2023 - Elsevier
Purpose The increased use of neuroimaging and innovations in ischemic stroke (IS)
treatment have improved outcomes, but the impact on median hospital costs is not well …

The Neiman Imaging Comorbidity Index: Development and Validation in a National Commercial Claims Database

CE Pelzl, AB Rosenkrantz, EY Rula… - Journal of the American …, 2024 - Elsevier
Abstract Objective To build the Neiman Imaging Comorbidity Index (NICI), based on
variables available in claims datasets, which provides good discrimination of an individual's …

Predictive Model and Mortality Risk Score during Admission for Ischaemic Stroke with Conservative Treatment

MC Lea-Pereira, L Amaya-Pascasio… - International Journal of …, 2022 - mdpi.com
Background: Stroke is the second cause of mortality worldwide and the first in women. The
aim of this study is to develop a predictive model to estimate the risk of mortality in the …

Endovascular thrombectomy for posterior cerebral artery strokes in the national inpatient sample (EaT PeCANpIeS) study

A Brake, L Fry, C Heskett… - Interventional …, 2024 - journals.sagepub.com
Background Posterior cerebral arteries with acute ischemic strokes (PCA-AISs) comprise
around 2% of all acute ischemic strokes and may result in significant long-term deficits …

[HTML][HTML] A double-hit: end-stage renal disease patients suffer worse outcomes in intracerebral hemorrhage

AK Lui, F Lin, A Uddin, B Nolan, K Clare… - Brain …, 2023 - journals.lww.com
BACKGROUND: Intracerebral hemorrhage (ICH) carries significant morbidity and mortality.
Previous single-center retrospective analysis suggests that end-stage renal disease (ESRD) …

External Validation and Recalibration of a Mortality Prediction Model for Patients with Ischaemic Stroke

JM García-Torrecillas, MC Lea-Pereira… - Journal of Clinical …, 2023 - mdpi.com
Background: Stroke is a highly prevalent disease that can provoke severe disability. We
evaluate a predictive model based on the Minimum Basic Data Set (MBDS) compiled by the …

Machine learning prediction of hospital discharge disposition for inpatients with acute ischemic stroke following mechanical thrombectomy in the United States

MS Jabal, W Wahood, MK Ibrahim, H Kobeissi… - Journal of Stroke and …, 2024 - Elsevier
Background and purpose Predicting patient recovery and discharge disposition following
mechanical thrombectomy remains a challenge in patients with ischemic stroke. Machine …

Trends in admissions for intracranial dissections in the United States

W Wahood, G Lanzino, Z Keser - Journal of Stroke and Cerebrovascular …, 2022 - Elsevier
Introduction Intracranial artery dissection (IAD) is rarer than cervical artery dissections
(CeAD), and information is based on limited series with small cohorts. There are only …