Results 131 to 140 of about 761,301 (258)

Basilar Artery Occlusion Stroke Managed With Tenecteplase Versus Alteplase Before Endovascular Treatment (BAO‐TNK)

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To compare the effectiveness and safety of tenecteplase (TNK) versus alteplase (TPA) in patients with basilar artery occlusion prior to endovascular treatment (EVT). Methods In this retrospective multicenter study (BAO‐TNK), we analyzed consecutive BAO patients from 14 U.S.
Rahul R. Karamchandani, Dylan N. Wolman, Tyler M. Bielinski, Nitin Goyal, Jeremy B. Rhoten, Mahesh V. Jayaraman, Christian T. Sidebottom, Bradley A. Gross, Alhamza R. Al‐Bayati, Mohamed F. Doheim, Matthew K. Tobin, Anoop Chinthala, Avi Gajjar, Justin Mascitelli, Matthew R. Webb, Jan‐Karl Burkhardt, Kyle W. Scott, Visish Srinivasan, Daniel Tonetti, Manisha Koneru, David J. Altschul, Dhrumhil Vaishnav, Sumeet Multani, Thana Theofanis, William J. Ares, Je Yeong Sone, Ramin Zand, Sasan Bahrami, Jiang Li, Gary Defilipp, Dale Strong, Radmehr Torabi, Krisztina Moldovan, Kelsey E. Kline, Clemens M. Schirmer, Raul G. Nogueira, Alexandra R. Paul, Bradley N. Bohnstedt, Philipp Hendrix   +38 more
wiley   +1 more source

GIVE statistic for goodness of fit in instrumental variables models with application to COVID data. [PDF]

Sci Rep, 2022
Dhar SS, Shalabh.
europepmc   +1 more source

Network Localization of Fatigue in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo, Jaakko Kungshamn, Albert Bellmunt‐Gil, Silvia Tommasin, Abhineet Ojha, Matias Viitala, Juho Aaltonen, Jyrki Lötjönen, Juha Koikkalainen, Pauli Ylikotila, Patrizia Pantano, Merja Soilu‐Hänninen, Juho Joutsa   +12 more
wiley   +1 more source

Frailty Exacerbates Disability in Progressive Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background To evaluate frailty in severe progressive multiple sclerosis (PMS) and to investigate the underlying mechanisms. Methods This prospective, cross‐sectional, multicenter study enrolled a late severe PMS group requiring skilled nursing (n = 53) and an age, sex, and disease duration‐matched control PMS group (n = 53).
Taylor R. Wicks, Anna Wolska, Diala Ghazal, Dejan Jakimovski, Bianca Weinstock‐Guttman, Alexander Burnham, Niels Bergsland, Michael G. Dwyer, Alan T. Remaley, Robert Zivadinov, Murali Ramanathan   +10 more
wiley   +1 more source

Goodness-of-fit two-phase sampling designs for time-to-event outcomes: a simulation study based on New York University Women's Health Study for breast cancer. [PDF]

BMC Med Res Methodol, 2023
Lee M, Chen J, Zeleniuch-Jacquotte A, Liu M.   +3 more
europepmc   +1 more source

Fibrinogen Changes Before and After Intravenous Thrombolysis as Predictors of Cerebral Injury and Clinical Outcomes in Acute Ischemic Stroke: A Multicenter Prospective Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Plasma fibrinogen is essential in thrombosis and fibrinolysis, yet its dynamic changes pre‐ and post‐intravenous thrombolysis (IVT) for predicting brain injury severity and prognosis in acute ischemic stroke (AIS) patients remain unclear.
Wenhai Zhai, Yang Qu, Reziya Abuduxukuer, Kejia Zhang, Peng Zhang, Xin Tang, Huaimei Zhang, Lijuan Wang, Lichong Yang, Shuangxu Tan, Zhimei Yuan, Ce Han, Lili He, Yuping Zheng, Fenglan Zhao, Lijie Guo, Ligang Jiang, Jinfeng Li, Yongfei Jiang, Xuexia Zou, Dan Xu, Han Xu, Xiaojia Wang, Yingbin Qi, Xuefeng Hu, Yu Zhang, Zhen‐Ni Guo, Hang Jin, on behalf of the Biomarkers of Brain Injury Investigator Study Group   +28 more
wiley   +1 more source

Modulation of the goodness of fit in hydrological modelling based on inner balance errors. [PDF]

PLoS One, 2021
Pellicer-Martínez F, Gomariz-Castillo F, Portela MM, Martínez-Alcalá IM, Martínez-Paz JM.   +4 more
europepmc   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

Nonparametric goodness-of-fit testing for parametric covariate models in pharmacometric analyses. [PDF]

CPT Pharmacometrics Syst Pharmacol, 2021
Hartung N, Wahl M, Rastogi A, Huisinga W.   +3 more
europepmc   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source