Results 161 to 170 of about 7,962,398 (254)

Nationwide Survey of Atopic Myelitis and Plexin D1‐Immunoglobulin G‐Related Pain

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To elucidate the features of plexin D1‐immunoglobulin (Ig)G‐associated neuropathic pain and its relationship to atopic myelitis (AM) in a nationwide Japanese survey. Methods A preliminary survey questionnaire was sent to 1574 selected departments (neurology and pediatrics/pediatric neurology) to explore the numbers of AM and plexin ...
Jun‐ichi Kira, Xu Zhang, Takayuki Fujii, Mikio Mitsuishi, Miho Ushijima, Sato Yoshidomi, Ayako Sakoda, Tomohiro Imamura, Satoshi Kuwabara, Noriko Isobe, Yuri Nakamura   +10 more
wiley   +1 more source

The prolonged impact of the COVID-19 pandemic on routine childhood vaccinations in Armenia: a time-series analysis. [PDF]

BMC Public Health
Agopian A, Sedrakyan T, Muradyan D, Sahakyan G.   +3 more
europepmc   +1 more source

Insights Into the Antigenic Repertoire of Unclassified Synaptic Antibodies

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective We sought to characterize the sixth most common finding in our neuroimmunological laboratory practice (tissue assay‐observed unclassified neural antibodies [UNAs]), combining protein microarray and phage immunoprecipitation sequencing (PhIP‐Seq). Methods Patient specimens (258; 133 serums; 125 CSF) meeting UNA criteria were profiled;
Michael Gilligan, John R. Mills, Paulina Vargas, Naveen K. Paramasivan, Connie E. Lesnick, Eati Basal, Surendra Dasari, James P. Fryer, Shannon R. Hinson, Joseph Laporta, Amy Espinal, Dennis Fitzgerald, Carolina Garcia, Anna E. Morenkova, Paola Pergami, Anna Shah, Andrew Knight, Reghann LaFrance Corey, Vanda A. Lennon, Anastasia Zekeridou, Sean J. Pittock, Divyanshu Dubey, Andrew McKeon   +22 more
wiley   +1 more source

Influence of extreme temperatures on out-of-hospital cardiac arrest cases in Hungary: a national time-series analysis. [PDF]

Resusc Plus
Nagy B, Pál-Jakab Á, Kiss B, Morvai A, Sipos B, Pápai G, Csató G, Orbán G, Boussoussou N, Merkely B, Sótonyi P, Gerencsér A, Szilágyi B, Zima E.   +13 more
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

Time-Series Analysis of Atmospheric Pollution and <i>Mycoplasma pneumoniae</i> Infections in Children. [PDF]

Can J Infect Dis Med Microbiol
Zhang H, Meimei Lai, Dong H, Yan L, Zhang L.   +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

Interrupted Time Series Analysis of Alcohol Use Disorder Treatment Utilisation During the Coronavirus Pandemic in Hamburg, Germany. [PDF]

Drug Alcohol Rev
Manthey J, Kilian C, Kraus L, Schranz A, Schulte B.   +4 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

Time series analysis of malaria in pregnancy, using wavelet and SARIMAX models. [PDF]

PLoS One
Oniyelu DO, Folorunsho O, Adewole L, Bakare EA, Okoronkwo C, Eze N, with ICAMMDA Team.   +6 more
europepmc   +1 more source