Automated Author ProfileOliveira, Adriana Camargo
Oliveira, Adriana Camargo
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 4.0 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Abstract Background The SAGE score was developed to detect individuals at risk for increased pulse wave velocity (PWV). So far, studies have been focused on hypertensive patients. Objective To assess the ability of the score to detect non-hypertensive and pre-hypertensive patients at risk for increased PWV. Methods Retrospective cross-sectional study of analysis of central blood pressure data and calculation of the SAGE score of non-hypertensive and pre-hypertensive patients. Each score point was analyzed for sensitivity, specificity, positive and negative predictive values, using the cut-off point for positive diagnosis a PVW ≥ 10m/s, ≥9.08 m/s (75thpercentile) and ≥7.30 m/s (50thpercentile). A p<0.05 was considered statistically significant. Results The sample was composed of 100 normotensive and pre-hypertensive individuals, with mean age of 52.64 ± 14.94 years and median PWV of 7.30 m/s (6.03 – 9.08). The SAGE score was correlated with age (r=0.938, p<0.001), glycemia (r=0.366, p<0.001) and glomerular filtration rate (r=-0.658, p<0.001). The area under the ROC curve was 0.968 (p<0.001) for PWV ≥ 10 m/s, 0.977 (p<0.001) for PWV ≥ 9.08 m/s and 0.967 (p<0.001) for PWV ≥ 7.30 m/s. The score 7 showed a specificity of 95.40% and sensitivity of 100% for PWV≥10 m/s. The cut-off point would be of five for a PWV≥9.08 m/s (sensitivity =96.00%, specificity = 94.70%), and two for a PWV ≥ 7.30 m/s. Conclusion The SAGE score could identify individuals at higher risk of arterial stiffness, using different PWV cutoff points. However, the development of a specific score for normotensive and pre-hypertensive subjects is needed.
Authors
- Rigonatto, Rayne Ramos Fagundes ;
- Vitorino, Priscila Valverde Oliveira ;
- Oliveira, Adriana Camargo ;
- Sousa, Ana Luiza Lima ;
- Jardim, Paulo César Brandão Veiga ;
- Cunha, Pedro Miguel Guimarães Marques ;
- Barbosa, Eduardo Costa Duarte ;
- Xaplanteris, Panagiotis ;
- Vlachopoulos, Charalambos ;
- Barroso, Weimar Kunz Sebba
Abstract Background The SAGE score was developed to detect individuals at risk for increased pulse wave velocity (PWV). So far, studies have been focused on hypertensive patients. Objective To assess the ability of the score to detect non-hypertensive and pre-hypertensive patients at risk for increased PWV. Methods Retrospective cross-sectional study of analysis of central blood pressure data and calculation of the SAGE score of non-hypertensive and pre-hypertensive patients. Each score point was analyzed for sensitivity, specificity, positive and negative predictive values, using the cut-off point for positive diagnosis a PVW ≥ 10m/s, ≥9.08 m/s (75thpercentile) and ≥7.30 m/s (50thpercentile). A p<0.05 was considered statistically significant. Results The sample was composed of 100 normotensive and pre-hypertensive individuals, with mean age of 52.64 ± 14.94 years and median PWV of 7.30 m/s (6.03 – 9.08). The SAGE score was correlated with age (r=0.938, p<0.001), glycemia (r=0.366, p<0.001) and glomerular filtration rate (r=-0.658, p<0.001). The area under the ROC curve was 0.968 (p<0.001) for PWV ≥ 10 m/s, 0.977 (p<0.001) for PWV ≥ 9.08 m/s and 0.967 (p<0.001) for PWV ≥ 7.30 m/s. The score 7 showed a specificity of 95.40% and sensitivity of 100% for PWV≥10 m/s. The cut-off point would be of five for a PWV≥9.08 m/s (sensitivity =96.00%, specificity = 94.70%), and two for a PWV ≥ 7.30 m/s. Conclusion The SAGE score could identify individuals at higher risk of arterial stiffness, using different PWV cutoff points. However, the development of a specific score for normotensive and pre-hypertensive subjects is needed.
Authors
- Rigonatto, Rayne Ramos Fagundes ;
- Vitorino, Priscila Valverde Oliveira ;
- Oliveira, Adriana Camargo ;
- Sousa, Ana Luiza Lima ;
- Jardim, Paulo César Brandão Veiga ;
- Cunha, Pedro Miguel Guimarães Marques ;
- Barbosa, Eduardo Costa Duarte ;
- Xaplanteris, Panagiotis ;
- Vlachopoulos, Charalambos ;
- Barroso, Weimar Kunz Sebba
Abstract Biological aging occurs as a result of the interaction between genetics, chronological age and external factors. It is the basis for new concepts of vascular aging, whose progression is determined by the difference between biological and chronological age. From the structural point of view, the effects of vascular aging are more evident in the tunica media of large elastic arteries, marked by increased arterial stiffness, lumen dilation and wall thickness. These effects are described in the continuum of cardiovascular aging (proposed by Dzau in 2010), in which the progressive steps of microvasculature lesions of the heart, kidney and brain are initiated from the aging process. The increase of arterial stiffness can be detected by several non-invasive methods. Cardiovascular events have been traditionally described using scores that combine conventional risk factors for atherosclerosis. In the classic cardiovascular continuum (Dzau, 2006), to determine the exact contribution of each risk factor is challenging; however, since arterial stiffness reflects both early and cumulative damage of these cardiovascular risk factors, it is an indicator of the actual damage to the arterial wall. This article provides a general overview of pathophysiological mechanisms, arterial structural changes, and hemodynamic consequences of arterial stiffness; non-invasive methods for the assessment of arterial stiffness and of central blood pressure; the cardiovascular aging continuum, and the application of arterial stiffness in cardiovascular risk stratification.
Authors
- Oliveira, Adriana Camargo ;
- Cunha, Pedro Miguel Guimarães Marques ;
- Vitorino, Priscila Valverde de Oliveria ;
- Souza, Ana Luiza Lima ;
- Deus, Gilcimar Divino ;
- Feitosa, Audes ;
- Barbosa, Eduardo Costa Duarte ;
- Gomes, Marco Mota ;
- Jardim, Paulo Cesar B. Veiga ;
- Barroso, Weimar Kunz Sebba
Abstract Biological aging occurs as a result of the interaction between genetics, chronological age and external factors. It is the basis for new concepts of vascular aging, whose progression is determined by the difference between biological and chronological age. From the structural point of view, the effects of vascular aging are more evident in the tunica media of large elastic arteries, marked by increased arterial stiffness, lumen dilation and wall thickness. These effects are described in the continuum of cardiovascular aging (proposed by Dzau in 2010), in which the progressive steps of microvasculature lesions of the heart, kidney and brain are initiated from the aging process. The increase of arterial stiffness can be detected by several non-invasive methods. Cardiovascular events have been traditionally described using scores that combine conventional risk factors for atherosclerosis. In the classic cardiovascular continuum (Dzau, 2006), to determine the exact contribution of each risk factor is challenging; however, since arterial stiffness reflects both early and cumulative damage of these cardiovascular risk factors, it is an indicator of the actual damage to the arterial wall. This article provides a general overview of pathophysiological mechanisms, arterial structural changes, and hemodynamic consequences of arterial stiffness; non-invasive methods for the assessment of arterial stiffness and of central blood pressure; the cardiovascular aging continuum, and the application of arterial stiffness in cardiovascular risk stratification.
Authors
- Oliveira, Adriana Camargo ;
- Cunha, Pedro Miguel Guimarães Marques ;
- Vitorino, Priscila Valverde de Oliveria ;
- Souza, Ana Luiza Lima ;
- Deus, Gilcimar Divino ;
- Feitosa, Audes ;
- Barbosa, Eduardo Costa Duarte ;
- Gomes, Marco Mota ;
- Jardim, Paulo Cesar B. Veiga ;
- Barroso, Weimar Kunz Sebba