scholarly journals S477 The Esophageal Response to Distension on FLIP Panometry Is Minimally Changed by Moderate Sedation in Healthy, Asymptomatic Volunteers

2021 ◽  
Vol 116 (1) ◽  
pp. S210-S211
Author(s):  
Aditi Simlote ◽  
Melina Masihi ◽  
Jacqueline E. Prescott ◽  
John E. Pandolfino ◽  
Dustin Carlson
Diagnostics ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 402
Author(s):  
Miriam Frenken ◽  
Sven Nebelung ◽  
Christoph Schleich ◽  
Anja Müller-Lutz ◽  
Karl Ludger Radke ◽  
...  

Using glycosaminoglycan Chemical Exchange Saturation Transfer (gagCEST) magnetic resonance imaging (MRI), this study comparatively evaluated the GAG contents of lumbar intervertebral disks (IVDs) of patients with non-specific low back pain (nsLBP), radiculopathy, and asymptomatic volunteers to elucidate the association of clinical manifestation and compositional correlate. A total of 18 patients (mean age 57.5 ± 22.5 years) with radiculopathy, 16 age-matched patients with chronic nsLBP and 20 age-matched volunteers underwent standard morphologic and compositional gagCEST MRI on a 3T scanner. In all cohorts, GAG contents of lumbar IVDs were determined using gagCEST MRI. An assessment of morphologic IVD degeneration based on the Pfirrmann classification and T2-weighted sequences served as a reference. A linear mixed model adjusted for multiple confounders was used for statistical evaluation. IVDs of patients with nsLBP showed lower gagCEST values than those of volunteers (nsLBP: 1.3% [99% confidence intervals (CI): 1.0; 1.6] vs. volunteers: 1.9% [99% CI: 1.6; 2.2]). Yet, IVDs of patients with radiculopathy (1.8% [99% CI: 1.4; 2.1]) were not different from patients with nsLBP or volunteers. In patients with radiculopathy, IVDs directly adjacent to IVD extrusions demonstrated lower gagCEST values than distant IVDs (adjacent: 0.9% [99% CI: 0.3; 1.5], distant: 2.1% [99% CI: 1.7; 2.5]). Advanced GAG depletion in nsLBP and directly adjacent to IVD extrusions in radiculopathy indicates close interrelatedness of clinical pathology and compositional degeneration.


2021 ◽  
pp. 251660852110112
Author(s):  
Kiran Buddharaju ◽  
Mahendra Javali ◽  
Anish Mehta ◽  
R Srinivasa ◽  
Purushottam Acharya

Background: Stroke is a major cause of neurological disability, which can be often predicted with serological markers. Glial-derived S100β protein is a potential biomarker for cerebral ischemia and may be helpful in predicting the severity, outcome, and recovery of stroke. Aim: This study aimed to study the role of S100β glial protein as a serological marker in predicting the severity of acute ischemic stroke (AIS), outcome, and functional recovery after 1 month. Methods: A hospital-based prospective case control study included 43 consecutive patients, >18 years old, who were admitted with acute middle cerebral artery (MCA) territory infarcts within 72 h of onset of neurological deficits. Control group comprised of 43 age-matched asymptomatic volunteers. Independent t-test and chi square test were used to compare the means and evaluate the association between protein level and various parameters. P ≤ .05 was statistically significant. Results: S100β protein level in AIS patients was significantly higher compared to controls ( P < .05). Elevated serum S100β protein level was found to be associated with larger infarct volumes, higher National Institute Health Stroke Scale scores, and higher modified Rankin Scale scores at admission ( P < .05). Patients with higher S100β protein levels at admission had poor recovery at 1 month compared to patients having normal S100β protein levels. Conclusion: S100β protein levels at admission after an acute MCA territory infarct may be used as a reliable serological tool in predicting the severity, outcome, and functional recovery in stroke.


2012 ◽  
Vol 22 (1) ◽  
pp. 214-218 ◽  
Author(s):  
Tobias J. Dietrich ◽  
Michael Betz ◽  
Christian W. A. Pfirrmann ◽  
Peter P. Koch ◽  
Sandro F. Fucentese

2017 ◽  
Vol Volume 12 ◽  
pp. 177-187 ◽  
Author(s):  
Peter Grendelmeier ◽  
Michael Tamm ◽  
Kathleen Jahn ◽  
Eric Pflimlin ◽  
Daiana Stolz

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