2026-10-07T04:06:41Z https://api.figshare.com/v2/oai

oai:figshare.com:article/32399646 2026-09-22T22:23:51Z category_24892 category_24175 category_24439 category_24463 category_24472 category_24427 item_type_3 month_year_09_2026

Dataset for 'Refining cardiac pressure-volume metrics using real-time aortic flowmetry improves data accuracy and reduces animal burden in rat studies' [Lab Animal] Oliver H. Wearing (12196517) Christopher R. West (7240553) Other biomedical and clinical sciences not elsewhere classified Systems biology Vertebrate biology Cardiology (incl. cardiovascular diseases) Cardiovascular medicine and haematology not elsewhere classified Animal physiology - systems contractility load-independent rodent flow probe PV loop systolic function LV left ventricle left ventricular cardiology preload-recruitable stroke work PRSW <p dir="ltr">Intraventricular pressure-volume (PV) catheters are a powerful tool for in vivo assessment of cardiac function, unique in their ability to provide instantaneous PV data and therefore load-independent indices of systolic and diastolic function. Thus, they can provide critical insights to basic, preclinical and clinical cardiology studies. However, the accuracy of PV indices is prone to dynamic perturbations in the calibration of the volume signal, particularly in small animals such as rodents. Current calibration methods are not ideal to account for this. Here, we aimed to: 1) assess how well PV catheters track changes in stroke volume (SV) detected by gold-standard transit-time flowmetry, and 2) test a novel method for beat-by-beat calibration of PV-catheter volume data using real-time flowmetry (‘RTF’) data. We anesthetized and instrumented 10 male Wistar rats with a left-ventricular PV catheter and a perivascular flow probe around the ascending aorta, and manipulated cardiovascular function via several anesthetic and cardioautonomic blockade treatments. We found a non-linear relationship between catheter- and flowmetry-derived SV across wide loading ranges needed to obtain load-independent indices. We also found that SV data from the catheter was generally more variable than that measured by flowmetry, limiting the ability to detect changes in SV. However, post hoc application of our<i> </i>RTF method to catheter data reduced technical variability in volume-based metrics, and facilitated better detection of functional changes using fewer animals. This refinement has the potential to vastly reduce animal burdens while improving accuracy and reproducibility of rodent PV studies.</p> 2026-09-22T22:23:51Z Dataset Dataset 10.6084/m9.figshare.32399646.v1 https://figshare.com/articles/dataset/Dataset_for_Refining_cardiac_pressure-volume_metrics_using_real-time_aortic_flowmetry_improves_data_accuracy_and_reduces_animal_burden_in_rat_studies_Lab_Animal_/32399646 CC BY 4.0