Background: Proper scaling of cardiac dimensions is of paramount importance in making correct decisions in clinical cardiology. The usual normalization of cardiac dimensions to overall body size assumes an isometric relationship. We sought to investigate these relationships to obtain the best allometric coefficient (AC) for scaling.
Methods: Ninety-seven healthy volunteers were included. The dimensions to be scaled were the left atrial volume, the end-diastolic and end-systolic left ventricular volumes, and the diameter of the tricuspid annulus. A Bayesian statistical analysis was applied with isometric coefficients as priors.
Results: The linear correlations between cardiac dimensions and body size were modest, ranging from 0.12 (-0.10-0.32) for the left atrial volume and height to 0.70 (0.58-0.80) for the end-diastolic volume and height. The ACs varied across the different cardiac dimensions and body size measurements. For the best linear relationships, the isometric coefficients were outside the 95% highest density interval of the posterior distribution for the left atrial volume-weight (AC: 0.7; 0.4-0.9) and end-diastolic volume-height (AC: 2.3; 1.7-2.9), whereas they were different from 1 for the left atrial volume-weight, end-diastolic volume, and diameter of the tricuspid annulus-body surface area (AC: 0.6; 0.3-0.8). Not scaling the cardiac dimensions to their corresponding ACs can lead to important errors in size estimations of cardiac structure.
Conclusions: The ACs found in this study are somewhat different from the corresponding isometric coefficients and often different from 1. This finding should be considered when normalizing cardiac structures to body size when making clinical decisions.
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http://dx.doi.org/10.4250/jcvi.2019.0056 | DOI Listing |
We report on the design and fabrication of a novel circular pillar array as an interfacial barrier for microfluidic microphysiological systems (MPS). Traditional barrier interfaces, such as porous membranes and microchannel arrays, present limitations due to inconsistent pore size, complex fabrication and device assembly, and lack of tunability using a scalable design. Our pillar array overcomes these limitations by providing precise control over pore size, porosity, and hydraulic resistance through simple modifications of pillar dimensions.
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Nat Comput Sci
January 2025
Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
How complex phenotypes emerge from intricate gene expression patterns is a fundamental question in biology. Integrating high-content genotyping approaches such as single-cell RNA sequencing and advanced learning methods such as language models offers an opportunity for dissecting this complex relationship. Here we present a computational integrated genetics framework designed to analyze and interpret the high-dimensional landscape of genotypes and their associated phenotypes simultaneously.
View Article and Find Full Text PDFClin Oral Investig
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Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Zonguldak Bulent Ecevıt University, Zonguldak, Turkey.
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Eur J Cardiothorac Surg
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Department of Cardiac Surgery, University Hospital Quironsalud Madrid, Spain.
Objectives: The Ross procedure for aortic regurgitation (AR) and abnormal aortic valve morphologies is associated with an increased risk of autograft dilatation. Autograft support may ameliorate this problem. We analyzed the results for all haemodynamic lesions and the effect of autograft support.
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