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Your search keyword '"Abbruzzese, R."' showing total 26 results
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26 results on '"Abbruzzese, R."'

9. Collective physician perspectives on non-oral medication approaches for the management of clinically relevant unresolved issues in Parkinson's disease: Consensus from an international survey and discussion program

Author

Odin, P., Ray, Chaudhuri, Slevin, K., Volkmann, J. T., Dietrichs, J., Martinez Martin, E., Krauss, P., Henriksen, J. K., Katzenschlager, T., Antonini, Angelo, Rascol, A., Poewe, O., Brücke, W., Pirker, T., Ransmayr, W., Schwingenschuh, G., Tomantschger, P., Volc, V., Jespersen, D., Kamal, H., Karlsborg, A., Oppel, M., Pedersen, L., Avikainen, S., Kaasinen, S., Pekkonen, V., Ruottinen, E., Azulay, H., Corvol, J. P., Courbon, J. C., Defebvre, C. B., Durif, L., Houeto, F., Krack, J. L., Tison, P., Andrich, F., Ehret, J., Klostermann, R., Krüger, F., Lingor, R., Liszka, P., Schwarz, R., Timmermann, J., Warnecke, L., Bostantjopoulou, T., Konitsiotis, S., Papageorgiou, S., Stathishens, S., Stefanis, P., Zikos, L., Browne, P., Healy, P., Lynch, D., O'Riordan, T., O'Sullivan, S., Walsh, S., Abbruzzese, R., Lopiano, G., Modugno, L., Tamma, N., Holmberg, F., Linder, B., Nyholm, J., Pålhagen, D., Matías Arbelo, S., Bana, J., Castrillo, R. Y., Castro, J. C. M., e. Garcia Ruiz Espiga, A., Kulisevsky, P. J., Lezcano, J., Luquin, E., Mir, R., Puente, P., Valldeoriola, V., Burn, F., Clarke, D., Foltynie, C., Grosset, T., Hindle, D., Leake, J., Lees, A., Morris, A., Stewart, H., Walker, D., Worth, R., AbbVie, and Karlsborg, Merete

Subjects
medicine.medical_specialty, Parkinson's disease, Neurology, Consensus, Disease duration, Clinical Neurology, Non-motor symptoms, Disease, Surveys and Questionnaires, medicine, Humans, Device-aided therapies, Dyskinesias, Motor fluctuations, Orthopedic Equipment, Parkinson Disease, Medicine (all), Geriatrics and Gerontology, Neurology (clinical), Psychiatry, Cognitive impairment, Depression (differential diagnoses), business.industry, International survey, medicine.disease, Family medicine, business, Educational program
Abstract

Navigate PD was an educational program established to supplement existing guidelines and provide recommendations on the management of Parkinson's disease (PD) refractory to oral/transdermal therapies. It involved 103 experts from 13 countries overseen by an International Steering Committee (ISC) of 13 movement disorder specialists. The ISC identified 71 clinical questions important for device-aided management of PD. Fifty-six experts responded to a web-based survey, rating 15 questions as 'critically important;' these were refined to 10 questions by the ISC to be addressed through available evidence and expert opinion. Draft guidance was presented at international/national meetings and revised based on feedback. Key take-home points are: • Patients requiring levodopa >5 times daily who have severe, troublesome 'off' periods (>1-2 h/day) despite optimal oral/transdermal levodopa or non-levodopa-based therapies should be referred for specialist assessment even if disease duration is 70 years who have mild or moderate cognitive impairment, severe depression or other contraindications to DBS. Medical writing support was provided by Emma East and Lindy van den Berghe at Lucid Group and funded by AbbVie. Sí

Published
2015

23. La valutazione del bullismo negli insegnanti

Author

BACCHINI, Dario, AMODEO A., VITELLI R., ABBRUZZESE R., CIARDI A., Bacchini, Dario, Abbruzzese, M. R., Amodeo, ANNA LISA, Ciardi, A., Vitelli, Roberto, Abbruzzese, R., Ciardi, A. L., Amodeo, A., and Vitelli, R.

Published
1999

24. HyCASTLE: A Hybrid ClAssification System based on Typicality, Labels and Entropy

Author

Michele Delli Veneri, Stefano Cavuoti, Roberto Abbruzzese, Massimo Brescia, Giancarlo Sperlì, Vincenzo Moscato, Giuseppe Longo, Delli Veneri, M., Cavuoti, S., Abbruzzese, R., Brescia, M., Sperli, G., Moscato, V., and Longo, G.

Subjects
Machine learning, Hybrid models, Multi-class classification, Supervised classification, Clustering, Information Systems and Management, Artificial Intelligence, Software, Hybrid model, Management Information Systems
Abstract

Traditional supervised classification models aim to approximate the functional mapping between instance attributes and their class labels. These models, however, do not consider the interdependence between instances and global characteristics of data and thus often they lead to poor classification results. In this work, we present a novel hybrid classification model – named HyCASTLE – designed to solve the main shortcomings of hybrid models that employ topological information through clustering in order to improve classifiers performances: they make hypotheses on the underlying data distribution and do not consider the effect of noise. HyCASTLE utilises a non-parametric estimator to capture the underlying data distribution and creates entirely data-driven shape-free clusters. HyCASTLE then refines this cluster configuration using both data topology and available labels through an iterative cluster aggregation and separation process. We evaluated HyCASTLE performance on 37 datasets and compare it with both traditional and hybrid classification models. Our results show that HyCASTLE has comparable or better performance than the other models and results to be more resilient to class noise.

Published
2022

25. The needs of professionals in the palliative care of children and adolescents.

Author

Bergstraesser E, Inglin S, Abbruzzese R, Marfurt-Russenberger K, Hošek M, and Hornung R

Subjects
Adolescent, Child, Humans, Qualitative Research, Surveys and Questionnaires, Switzerland, Workforce, Adolescent Health Services, Child Care, Health Services Needs and Demand, Palliative Care
Abstract

Unlabelled: The main objectives of this qualitative study were to describe the perceptions and needs of pediatric health care professionals (HCPs) taking care of children with palliative care needs and to develop a concept for the first Center of Competence for Pediatric Palliative Care (PPC) in Switzerland. Within two parts of the study, 76 HCPs were interviewed. The main interview topics were: (1) definition of and attitude toward PPC; (2) current provision of PPC; (3) the support needs of HCPs in the provision of PPC; and (4) the role of specialized PPC teams. HCPs expressed openness to PPC and reported distinctive needs for support in the care of these patients. The main tasks of specialized PPC teams in Switzerland would encompass the coaching of attending teams, coordination of care, symptom control, and direct support of affected families during and beyond the illness of their child., Conclusion: This study indicates the need for specialized PPC in Switzerland both inside and outside of centers providing top quality medical care (Spitzenmedizin). Specialized PPC teams could have a significant impact on the care of children and families with PPC needs. Whether hospices are an option in Switzerland remains unanswered; however, a place to meet other families with similar destinies was emphasized.

Published
2013
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26. Social support and long-term mortality in the elderly: role of comorbidity.

Author

Mazzella F, Cacciatore F, Galizia G, Della-Morte D, Rossetti M, Abbruzzese R, Langellotto A, Avolio D, Gargiulo G, Ferrara N, Rengo F, and Abete P

Subjects
Aged, Aged, 80 and over, Analysis of Variance, Chi-Square Distribution, Disability Evaluation, Female, Geriatric Assessment, Humans, Italy epidemiology, Male, Proportional Hazards Models, Risk Factors, Surveys and Questionnaires, Survival Analysis, Chronic Disease mortality, Comorbidity, Mortality trends, Social Support
Abstract

Several studies have demonstrated a global increase in morbidity and mortality in elderly subjects with low social support or high comorbidity. However, the relationship between social support and comorbidity on long-term mortality in elderly people is not yet known. Thus, the present study was performed to evaluate the relationship between social support and comorbidity on 12-year mortality of elderly people. A random sample of 1288 subjects aged 65-95 years interviewed in 1992 was studied. Comorbidity by Charlson Comorbidity Index (CCI) score and Social Support by a scale in which total score ranges from 0 to 17, assigning to lowest social support the highest score, were evaluated. At 12-year follow-up, mortality progressively increase with low social support and comorbidity increasing (from 41.5% to 66.7% and from 41.2% to 68.3%, respectively; p<0.001). Moreover, low social support progressively increases with comorbidity increasing (and 12.4±2.5 to 14.3±2.6; p<0.001). Accordingly, multivariate analysis shows an increased mortality risk of 23% for each increase of tertile of social support scale (Hazard ratio=HR=1.23; 95% CI=1.01-1.51; p=0.045). Moreover, when the analysis was performed considering different degrees of comorbidity we found that social support level was predictive of mortality only in subjects with the highest comorbidity (HR=1.39; 95% CI=1.082-1.78; p=0.01). Thus, low social support is predictive of long-term mortality in the elderly. Moreover, the effect of social support on mortality increases in subjects with the highest comorbidity., (Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.)

Published
2010
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