Association between echocardiographic structural parameters and body weight in Wistar rats

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2017-01-01

Autores

Oliveira-Junior, Silvio A.
Martinez, Paula F.
Fan, William Y.C. [UNESP]
Nakatani, Bruno T. [UNESP]
Pagan, Luana U. [UNESP]
Padovani, Carlos R. [UNESP]
Cicogna, Antonio C. [UNESP]
Okoshi, Marina P. [UNESP]
Okoshi, Katashi [UNESP]

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Resumo

Background: The association between echocardiographic structural parameters and body weight (BW) during rat development has been poorly addressed. We evaluated echocardiographic variables: left ventricular (LV) end-diastolic (LVDD) and end-systolic (LVSD) diameters, LV diastolic posterior wall thickness (PWT), left atrial diameter (LA), and aortic diameter (AO) in function of BW during development. Results/Materials and Methods: Male Wistar rats (n = 328, BW: 302-702 g) were retrospectively used to construct regression models and 95% confidence intervals relating to cardiac structural parameters and BW. Adjusted indexes were significant to all relationships; the regression model for predicting LVDD (R2 = 0.678; p < 0.001) and AO (R2 = 0.567; p < 0.001) had the highest prediction coefficients and LA function the lowest prediction coefficient (R2 = 0.274; p < 0.01). These relationships underwent validation by performing echocardiograms on additional rats (n = 43, BW: 300-600 g) and testing whether results were within confidence intervals of our regressions. Prediction models for AO and LA correctly allocated 38 (88.4%) and 39 rats (90.7%), respectively, within the 95% confidence intervals. Regression models for LVDD, LVSD, and PWT included 27 (62.7%), 30 (69.8%), and 19 (44.2%) animals, respectively, within the 95% confidence intervals. Conclusions: Increase in cardiac structures is associated with BW gain during rat growth. LA and AO can be correctly predicted using regression models; prediction of PWT and LV diameters is not accurate.

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Cardiac structures, Development, Echocardiogram, Physiological cardiac remodeling, Rat

Como citar

Oncotarget, v. 8, n. 16, p. 26100-26105, 2017.