The allure of big data to improve stroke outcomes: review of current literature
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 …
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 …
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 …
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 …
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 …
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
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 …
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) …
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 …
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
Background and purpose Predicting patient recovery and discharge disposition following
mechanical thrombectomy remains a challenge in patients with ischemic stroke. Machine …
mechanical thrombectomy remains a challenge in patients with ischemic stroke. Machine …
Trends in admissions for intracranial dissections in the United States
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 …
(CeAD), and information is based on limited series with small cohorts. There are only …