Automated Author ProfileFerriani M.P.L.
Ferriani M.P.L.
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: 0.6 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Introduction: Prevention of attacks is a major goal in management of patients with hereditary angioedema (HAE). We aimed to investigate the effects of a systematic intervention for HAE patients. Methods: Thirty-three patients with HAE with C1-inhibitor deficiency, belonging to a single family, participated in a management program coordinated by an allergist/immunologist. Angioedema attacks before intervention were ascertained by interviews and emergency room charts and recorded prospectively by patients or caregivers after enrollment. Mean number of attacks/month was compared at 12 months preintervention and 8 and 14 months within intervention. Patient-reported outcome instruments were used to assess quality of life, including HAE Quality of Life (HAE-QoL) questionnaire, psychological conditions, and work impairment, at baseline and 8 and 14 months within intervention. Data were stored in REDCap platform and analyzed by adjusted Bayesian models of double Poisson regression. Results: Mean number of attacks/month significantly decreased (95% credible interval [CrI] excluding 0) from 1.15 preintervention to 0.25 and 0.23, 8 and 14 months within intervention, with mean decreases of −0.89 (95% CrI: −1.21 to −0.58) and −0.92 (95% CrI: −1.22 to −0.60), respectively. HAE-QoL scores showed mean total increases of 15.2 (95% CrI: 1.23–29.77) and 26 (95% CrI: 14.56–39.02) at 8 and 14 months within the study, as compared to baseline, revealing marked improvement in quality of life. Significant increase in role-emotional and reduction of depression, stress, and anxiety were observed at 14 months. Conclusion: A systematic approach integrating HAE-specific care with effective handling of psychological issues decreased the number of attacks and improved quality of life, targets for best practice in HAE.
Authors
- Nunes, F.L. ;
- Ferriani M.P.L. ;
- Moreno, A.S. ;
- Langer, S.S. ;
- L.S.M., Maia ;
- Ferraro, M.F. ;
- Sarti, W. ;
- BessaJunior, J. ;
- Cunha, D. ;
- Suffritti, C. ;
- Dias, M.M. ;
- Januário, Y.C. ;
- DaSilva L.L.P. ;
- Aragon, D.C. ;
- Caballero, T. ;
- Arruda, L.K.
Introduction: Prevention of attacks is a major goal in management of patients with hereditary angioedema (HAE). We aimed to investigate the effects of a systematic intervention for HAE patients. Methods: Thirty-three patients with HAE with C1-inhibitor deficiency, belonging to a single family, participated in a management program coordinated by an allergist/immunologist. Angioedema attacks before intervention were ascertained by interviews and emergency room charts and recorded prospectively by patients or caregivers after enrollment. Mean number of attacks/month was compared at 12 months preintervention and 8 and 14 months within intervention. Patient-reported outcome instruments were used to assess quality of life, including HAE Quality of Life (HAE-QoL) questionnaire, psychological conditions, and work impairment, at baseline and 8 and 14 months within intervention. Data were stored in REDCap platform and analyzed by adjusted Bayesian models of double Poisson regression. Results: Mean number of attacks/month significantly decreased (95% credible interval [CrI] excluding 0) from 1.15 preintervention to 0.25 and 0.23, 8 and 14 months within intervention, with mean decreases of −0.89 (95% CrI: −1.21 to −0.58) and −0.92 (95% CrI: −1.22 to −0.60), respectively. HAE-QoL scores showed mean total increases of 15.2 (95% CrI: 1.23–29.77) and 26 (95% CrI: 14.56–39.02) at 8 and 14 months within the study, as compared to baseline, revealing marked improvement in quality of life. Significant increase in role-emotional and reduction of depression, stress, and anxiety were observed at 14 months. Conclusion: A systematic approach integrating HAE-specific care with effective handling of psychological issues decreased the number of attacks and improved quality of life, targets for best practice in HAE.
Authors
- Nunes, F.L. ;
- Ferriani M.P.L. ;
- Moreno, A.S. ;
- Langer, S.S. ;
- L.S.M., Maia ;
- Ferraro, M.F. ;
- Sarti, W. ;
- BessaJunior, J. ;
- Cunha, D. ;
- Suffritti, C. ;
- Dias, M.M. ;
- Januário, Y.C. ;
- DaSilva L.L.P. ;
- Aragon, D.C. ;
- Caballero, T. ;
- Arruda, L.K.