TTE definition
Examples of TTE in a sentence
By using the definition of measurement accuracy for sPAP (variation up to 10mmHg) and RAP (variation up to 5mmHg) in the TTE compared to the RHC, only 55.1% of the estimates of RAP and 33.4% of the estimates of sPAP were accurate (Fig.
The technical improvement of diagnostic services may contribute to the earlier recognition of this condition by TTE.
Other two studies have reported similar results with the bias ranging from 2.2mmHg to 8mmHg in the estimation of sPAP by TTE (range of 95% agreement: -34.2 to 38.6mmHg and − 28.4 to 44.4mmHg) as compared to the RHC measures [6, 7].
As a conclusion, the initial echocardiographic evaluation of patients with suspected of PH in the context of clinical practice showed a high discriminatory power for diagnosis of PH and the disagreements between sPAP and RAP measurements reinforces TTE as a valid screening tool and the need of RHC measurements to confirm the diagnosis.
They found a mean sPAP of 45.3 ± 15.5mmHg by TTE and 47.4 ± 16.4mmHg by RHC, showing a strong correlation between measurements of sPAP (r = 0.87; p < 0.0001) and RAP (r = 0.82; p < 0.0001).
It includes all 18-year-old or older patients, who were evaluated in an ambulatory basis, and had a clinical and laboratory suspicion of pulmonary arterial hypertension (PAH) or chronic thromboembolic pulmonary hypertension (CTEPH), a high or intermediate probability by TTE of pulmonary hypertension and who underwent RHC to confirm diagnosis.
Three meta-analysis and a systematic review evaluated the accuracy of the estimation of sPAP by TTE [29–32].
The technical improvement of these procedures and a better interaction among the professionals involved in the evaluation of these patients may contribute to an even better accuracy of the TTE for an earlier recognition of this condition.
Additionally, in present study the TTE underestimated the sPAP values and overestimated the RAP values with higher frequency (sPAP: 41.5% versus 25.1%; RAP: 33.7% versus 11.2%) and magnitude (sPAP: -30.4 ± 10.2 versus 15.2 ± 8.9mmHg; RAP: 11.3 ± 4.8 versus-8.4 ± 3.7mmHg), with disagreeing values higher than 10mmHg and 5mmHg, respectively.
The CV is a dispersion measurement that describes the amount of data variability related to the mean, and it has been calculated by the formula: CV = SD of the average difference of the measurements made by TTE and by RHC / mean of the averages of these measurements multiplied by 100 [13].