15 research outputs found
Impact of early valve surgery on outcome of Staphylococcus aureus prosthetic valve infective endocarditis: analysis in the International Collaboration of Endocarditis-Prospective Cohort Study.
Analysis of in situ diversity and population structure in Ethiopian cultivated Sorghum bicolor (L.) landraces using phenotypic traits and SSR markers
Echocardiographic predictors of outcome after isolated tricuspid valvular surgery
Abstract
Funding Acknowledgements
Type of funding sources: None.
Background
Right ventricular (RV) function is one factor influencing outcome after isolated tricuspid valve surgery (ITVS). As it is highly load dependant, its echocardiographic assessment requires a multiparametric analysis.
Purpose
To assess prognostic value of RV echocardiographic parameters among patients undergoing ITVS.
Methods
Preoperative echocardiograms were retrospectively reviewed in 75 patients (mean age 54 ± 17 years) who underwent ITVS between 2007 and 2020. We assessed classical parameters of RV load, morphology and function, and calculated a load-remodeling-function index (LRFI) combining load (using tricuspid regurgitation time-velocity integral), remodeling (using ratio of RV diameter / length) and function (using strain rate (SR)). Those parameters were compared between alive and dead patients at 1-year follow-up.
Results
Mortality rate was 17.3% at 1 year and 22.7% at 5 years. Among standard RV function parameters, only S’ and SR were significantly lower in dead than in alive patients at 1 year.
LRFI was significantly higher in dead patients at 1-year. By analysis of ROC curve, LRFI (AUC 0.823 [0.678-0.968]; p = 0.002) was the best predictor of death at 1 year.
When associating a clinical variable (pre-existing right heart failure (RHF)) and LRFI, Kaplan Meier curves showed significantly higher mortality in patients with both RHF and altered LRFI.
Conclusion
Global RV analysis using a parameter combining load, remodeling and function may help in the prognostic assessment of patients undergoing ITVS, in addition to the presence of RHF.
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Noninvasive assessment of age-related stiffness of crystalline lenses in a rabbit model using ultrasound elastography
Identification of genetic markers linked to anthracnose resistance in sorghum using association analysis
Regional Neuroplastic Brain Changes in Patients with Chronic Inflammatory and Non-Inflammatory Visceral Pain
Chronic pain in children: structural and resting-state functional brain imaging within a developmental perspective
Brain imaging tests for chronic pain: medical, legal and ethical issues and recommendations
Chronic pain is the greatest source of disability globally and claims related to chronic pain feature in many insurance and medico-legal cases. Brain imaging (for example, functional MRI, PET, EEG and magnetoencephalography) is widely considered to have potential for diagnosis, prognostication, and prediction of treatment outcome in patients with chronic pain. In this Consensus Statement, a presidential task force of the International Association for the Study of Pain examines the capabilities of brain imaging in the diagnosis of chronic pain, and the ethical and legal implications of its use in this way. The task force emphasizes that the use of brain imaging in this context is in a discovery phase, but has the potential to increase our understanding of the neural underpinnings of chronic pain, inform the development of therapeutic agents, and predict treatment outcomes for use in personalized pain management. The task force proposes standards of evidence that must be satisfied before any brain imaging measure can be considered suitable for clinical or legal purposes. The admissibility of such evidence in legal cases also strongly depends on laws that vary between jurisdictions. For these reasons, the task force concludes that the use of brain imaging findings to support or dispute a claim of chronic pain - effectively as a pain lie detector - is not warranted, but that imaging should be used to further our understanding of the mechanisms underlying pain
