Purpose: The effect of total volume perfused on outflow resistance (the reciprocal of outflow facility) and the effect of age on the rate of change in resistance as a function of total volume were determined in rhesus and cynomolgus monkeys.
Methods: Outflow facility was measured under general anesthesia by two-level constant pressure perfusion in one eye of 22 rhesus and 17 cynomolgus monkeys (ranging in age, respectively, from 4 to 25 and from 3 to 12 years). Total volume perfused was calculated from data obtained during the perfusion.
Results: Resistance decreased in both cynomolgus and rhesus monkeys as total volume perfused increased (-0.085 ± 0.021 and -0.022 ± 0.011 mm Hg/μL/min/μL(tot); P = 0.001 and P = 0.047, respectively). Rate of change in resistance significantly increased in cynomolgus monkeys as total volume perfused increased (0.0018 ± 0.0.0007 mm Hg/μL/min/μL(tot), P = 0.033); however, this was not the case in rhesus monkeys. After accounting for total volume perfused, the rate of change in resistance significantly decreased with increasing age in rhesus monkeys (-0.0068 ± 0.0026 [mm Hg/μL/min]/μL(tot)/y, P = 0.017). There was no significant difference in rate of change in resistance with age, after accounting for total volume, in the cynomolgus monkeys.
Conclusions: The present study supports previous findings indicating that total washout is largely dependent on perfusion volume. However, in populations with old/elderly animals, such as our rhesus group, we found that age does play a significant role in rate of change in resistance, and may be an even more important factor to consider in the rate of resistance change than volume perfused in aged animals.
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http://dx.doi.org/10.1167/iovs.11-7811 | DOI Listing |
Adv Sci (Weinh)
January 2025
Computational Science Research Center, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea.
Efficiently extracting data from tables in the scientific literature is pivotal for building large-scale databases. However, the tables reported in materials science papers exist in highly diverse forms; thus, rule-based extractions are an ineffective approach. To overcome this challenge, the study presents MaTableGPT, which is a GPT-based table data extractor from the materials science literature.
View Article and Find Full Text PDFOrthod Craniofac Res
January 2025
Sleep Unit, Department of Stomatology, Faculty of Medicine and Dentistry, University of Valencia, Valencia, Spain.
Objectives: This non-randomised clinical study aimed to identify the phenotypic characteristics that distinguish responders from non-responders. Additionally, it sought to establish a predictive model for treatment response to obstructive sleep apnoea (OSA) using mandibular advancement devices (MAD), based on the analysed phenotypic characteristics.
Material And Methods: This study, registered under identifier NCT05596825, prospectively analysed MAD treatment over 6 years using two-piece adjustable appliances according to a standardised protocol.
J Cardiovasc Electrophysiol
January 2025
Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Background: Pulsed-field ablation (PFA) is an innovative non-thermal method for arrhythmia treatment. The efficacy of various PFA configurations in relation to contact force (CF) has not been well-studied in vivo.
Objectives: This study evaluated the effect of CF on acute bipolar PFA lesions in both a vegetal and an in vivo porcine heart model.
Dimens Crit Care Nurs
January 2025
Background: Enteral feeding intolerance (EFI) occurs in more than one-third of mechanically ventilated patients, yet the cause of this gastrointestinal dysfunction remains unclear. Assessment and diagnostic criteria are often vague and subjective leading to inaccurate recognition or diagnosis of EFI. Nurses are often unsure or unaware of appropriate assessment methods.
View Article and Find Full Text PDFJ Rural Health
January 2025
North Carolina Rural Health Research Program, Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Purpose: To provide a new approach for defining rural hospital markets.
Methods: First, we estimated models of hospital choice. We defined hospitals in the choice set using nationwide hospital data from the Healthcare Cost Report Information System (HCRIS).
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