Komplikationen bei der Ergometrie

Berent, Robert; Auer, Johann; Duvillard, Serge P. von; Sinzinger, H.; Schmid, Philipp

doi:10.1007/s00059-011-3449-0

Cited by 4 publications

(2 citation statements)

References 64 publications

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“… 184 Outras avaliações encontraram prevalência variando de 100 a 700 por 100 mil escolares. 185 Mais recentemente (2022), um estudo da Bacia Amazônica Brasileira encontrou prevalência de 39 por 1.000, indicando a necessidade de programas de triagem em áreas remotas e de reconhecida alta prevalência. 186 Critérios ecocardiográficos simplificados podem aumentar a triagem em áreas com suspeita de alta prevalência.…”

Section: Prevalênciaunclassified

“… 184 Other evaluations have found a prevalence ranging from 100 to 700 per 100 000 schoolchildren. 185 More recently (2022), a study from the Brazilian Amazon Basin has found a prevalence of 39 per 1000, indicating the need for screening programs in both remote and known high-prevalence areas. 186 Simplified echocardiographic criteria may increase the screening in suspected high-prevalence areas.…”

Section: Chapter 5 – Valvular Heart Diseasementioning

confidence: 99%

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Estatística Cardiovascular – Brasil 2023

Oliveira,

Brant,

Polanczyk

et al. 2024

Arquivos Brasileiros De Cardiologia

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Section: Prevalênciaunclassified

Section: Chapter 5 – Valvular Heart Diseasementioning

confidence: 99%

Estatística Cardiovascular – Brasil 2023

Oliveira,

Brant,

Polanczyk

et al. 2024

Arquivos Brasileiros De Cardiologia

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A new scoring system for evaluating coronary artery disease by using blood pressure variability

Zhu

Qiu

et al. 2017

Australas Phys Eng Sci Med

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The aim of this study was to develop a new scoring system using ambulatory blood pressure monitoring (ABPM) to assist in the evaluation of coronary artery disease (CAD). One hundred twenty-five subjects (53.1 ± 9.6 years of age) were included. Pearson's tests were first performed to identify the parameters that correlated with Duke Treadmill Score (DTS). Blood test parameters and blood pressure variability (BPV) measures that were extracted from the ABPM were included. Next, a multiple linear regression analysis was performed to train a new scoring system in the 84 patients from the 125 patients. Then, a correlation analysis was conducted to validate the correlation between the new scoring system and DTS in the remaining 41 subjects. A further correlation analysis was used to verify the clinical value of the new scoring system using ultrasonic cardiogram (UCG) and brachial-ankle pulse wave velocity (baPWV). Our new scoring system, which had a 24.096 - 0.083 × residual standard deviation of night systolic blood pressure (SBP) - 0.130 × age - 0.206 × average real variability of night SBP, was correlated with DTS (r = 0.312, P = 0.047). Moreover, our new scoring system was also correlated with various markers of cardiac function (r = -0.290, P = 0.001; r = -0.262, P = 0.004; r = -0.303, P = 0.001; r = -0.306, P = 0.001, respectively) measured by UCG and with baPWV (r = 0.529, P = 0.001). Furthermore, the r-values for the BPV Score versus the markers were closer to -1 than the corresponding r-values for the Duke Score vs the same parameters. And the differences in r-values between Duke Score and BPV Score were statistically significant (P = 0.022). In conclusion, the new scoring system based on ABPM has potential as a non-invasive tool for evaluating CAD.

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