18 results on '"Codato G"'
Search Results
2. Numerical Investigation of the Coastal Atmosphere and Ocean at Meaípe
- Author
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Ribeiro, F. N. D., additional, Codato, G., additional, and Soares, J., additional
- Published
- 2019
- Full Text
- View/download PDF
3. Investigation of the surface-atmosphere interaction on the coastal region of the monazite sands of Meaípe, Guarapari (ES) - preliminary results
- Author
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Soares, J., additional, Ribeiro, F. N. D., additional, and Codato, G., additional
- Published
- 2019
- Full Text
- View/download PDF
4. Observational Campaign of the FluTuES project - Torre Meaípe
- Author
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Codato, G., additional and Soares, J., additional
- Published
- 2019
- Full Text
- View/download PDF
5. A influência da frente térmica da ressurgência costeira de Cabo Frio na perda do sinal acústica: um estudo numérico
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Codato, G. A. S., Watanabe, W. B., Calado, L., Martins, N., Ramos, A. E. A., Codato, G. A. S.., Watanabe, Wandrey de Bortoli., Calado, Leandro., Ramos, A. E. A.., and Simpósio sobre Ondas, Marés, Engenharia Oceânica e Oceanografia por Satélite (9.:2011:Arraial do Cabo)
- Subjects
Acústica submarina ,Acústica submarina-Cabo Frio (RJ) ,Ressurgência costeira ,Perdas na propagação ,Perda-Cabo Frio (RJ) ,Oceanografia ,Cabo Frio (RJ) ,Modelagem numérica hidrodinâmica ,Ressurgência - Abstract
Este trabalho avaliou a perda do sinal acústico na presença do gradiente térmico formado pela ressurgência costeira de Cabo Frio – RJ. Para tanto, utilizou-se de um modelo numérico hidrodinâmico para construir a estrutura termohalina da ressurgência. Essa estrutura foi implementada como parâmetro de entrada em um modelo acústico e utilizada como base de propagação do som. Após este procedimento, foram simulados sinais acústicos em dois cenários distintos, um deles representando uma situação de ressurgência intensa, e outro na qual a ascenção da água de fundo não ocorria. A comparação entre esses dois cenários mostrou que a pluma de ressurgência atua como uma barreira à propagação do som, visto que no cenário sem ressurgência um mesmo sinal acústico alcançou distâncias maiores. Neste sentido, especula-se que o gradiente térmico promovido pela ressurgência costeira possa prejudicar a detecção de alvos submarinos.
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- 2011
6. [Quality of life, depression and cognitive functions 1. Operational protocol and its implementation]
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Rete Infermieri GISSI HF, Di Giulio P, Pera C, Scarano M, Ferri B, Lepore V, Miani D, Tognoni G, Rosson V, Serafini C, Zumino T, Partemi L, Falleroni ML, Moretti L, Porta L, Santorsola A, Tenerelli T, Bertoncelli B, Mengoli G, Stagnitto M, Puddu GM, Masini E, Pasini A, Boni S, Valsesia E, Cornacini G, Melis D, Mulina A, Giurlanda A, Fava M, Bellini P, Vallucci S, Cuomo A, Campanale S, Monatti G, Bianco T, Milli V, Antonelli L, Fanin L, Faiola L, Stefanizzi R, Mariani M, Rossi A, Regnani T, Loreni F, Cianfrocca R, Pisani A, Faraolfi V, Ponzalli P, Savli T, Cresci M, Guardalben S, Belluzzo B, Ruberti R, Zizzi M, Tonda C, Cadrobbi MG, Gilardi R, Mondì A, Costa A, Milan S, Zottarelli A, Parodi B, Sartorio N, Rossin B, Santi A, Cagnan P, Maradei E, Cauteruccio A, Carpino C, Addeo R, Izzo A, Amendola G, Prizzitano AM, Piluso GM, Iadevaio AL, Cinà MT, Cirrincione V, Gumina S, Codato G, Raimondo F, Capiello MG, Creta F, Barbieri M, Chiarella L, Abbondio L, Piccin M, Spillone V, Cutrupi G, Ruggeri A, Sicilia G, Provengano A, Marcari P, Ricci S, Pazzagli E, La Grotteria M, Orsini R, Leandri L, Vetere NA, Braggion E, Giordanino S, Armando S, Zampieri E, Danese MC, Valentini A, Ferrante MG, Santacroce C, Crocetti I, Macchi F, Bernacchi M, Pini D, Varì M, Lucente M, Scaramastra F, Reichardt S, Gabasio S, Zocchi C, Studhika M, Budzowska E, Cescon M, Lazzari D, Prizzon A, Di Biaggio P, Buda C, Mastrangelo V, Avigliano M, Dell'Aquila L, Bonanomi E, Mezzani A, Porcini F, Girardi G., PERRONE FILARDI, PASQUALE, Rete Infermieri GISSI, Hf, Di Giulio, P, Pera, C, Scarano, M, Ferri, B, Lepore, V, Miani, D, Tognoni, G, Rosson, V, Serafini, C, Zumino, T, Partemi, L, Falleroni, Ml, Moretti, L, Porta, L, Santorsola, A, Tenerelli, T, Bertoncelli, B, Mengoli, G, Stagnitto, M, Puddu, Gm, Masini, E, Pasini, A, Boni, S, Valsesia, E, Cornacini, G, Melis, D, Mulina, A, Giurlanda, A, Fava, M, Bellini, P, Vallucci, S, Cuomo, A, Campanale, S, Monatti, G, Bianco, T, Milli, V, Antonelli, L, Fanin, L, Faiola, L, Stefanizzi, R, Mariani, M, Rossi, A, Regnani, T, Loreni, F, Cianfrocca, R, Pisani, A, Faraolfi, V, Ponzalli, P, Savli, T, Cresci, M, Guardalben, S, Belluzzo, B, Ruberti, R, Zizzi, M, Tonda, C, Cadrobbi, Mg, Gilardi, R, Mondì, A, Costa, A, Milan, S, Zottarelli, A, Parodi, B, Sartorio, N, Rossin, B, Santi, A, Cagnan, P, Maradei, E, Cauteruccio, A, Carpino, C, Addeo, R, Izzo, A, Amendola, G, PERRONE FILARDI, Pasquale, Prizzitano, Am, Piluso, Gm, Iadevaio, Al, Cinà, Mt, Cirrincione, V, Gumina, S, Codato, G, Raimondo, F, Capiello, Mg, Creta, F, Barbieri, M, Chiarella, L, Abbondio, L, Piccin, M, Spillone, V, Cutrupi, G, Ruggeri, A, Sicilia, G, Provengano, A, Marcari, P, Ricci, S, Pazzagli, E, La Grotteria, M, Orsini, R, Leandri, L, Vetere, Na, Braggion, E, Giordanino, S, Armando, S, Zampieri, E, Danese, Mc, Valentini, A, Ferrante, Mg, Santacroce, C, Crocetti, I, Macchi, F, Bernacchi, M, Pini, D, Varì, M, Lucente, M, Scaramastra, F, Reichardt, S, Gabasio, S, Zocchi, C, Studhika, M, Budzowska, E, Cescon, M, Lazzari, D, Prizzon, A, Di Biaggio, P, Buda, C, Mastrangelo, V, Avigliano, M, Dell'Aquila, L, Bonanomi, E, Mezzani, A, Porcini, F, and Girardi, G.
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Time Factors ,Depression ,Cardiology ,Prognosis ,Nursing Research ,Cognition ,Clinical Protocols ,Italy ,Data Interpretation, Statistical ,Surveys and Questionnaires ,Quality of Life ,Humans ,Cardiomyopathies ,Geriatric Assessment ,Aged ,Randomized Controlled Trials as Topic - Abstract
The QDF (Quality of life, Depression and cognitive Function) is a project elaborated and implemented by a Research Network of the nursing personnel of the cardiological services which promoted and run the GISSI-HF trial. It is a "companion study" which included up to 1/3 of all the GISSI-HF centres.To describe the distribution and evaluation of QDF variables measured with standardised instruments (Kansas City Cardiomiopathy Quality of Life questionnaire, KCCQ; Geriaric Depression scale GDS, Mini Mental State Examination MMSE), to verify whether and how far their knowledge could influence clinical decisions; to assess the prognostic impact of QDF values measured at entrance on mortality and morbidity. The study protocol included also a comprehensive evaluation of QDF variables independent from the questionnaires, by the nurses in charge of the study patients (the results of this part of the protocol are not included in this report).The QDF data were collected at baseline, 6 months, 1, 2 and 3 years through two self administered questionnaires (KCCQ, GDS), while the MMSE only for patients70 years. The questionnaires were administered to the patients who accepted to participate. A specific goal of the project focuses on the degree of independence between the results of the questionnaires and the judgement of the nurses. This contribution presents the operational implementation of the study protocol and general framework.
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- 2009
7. [Quality of life, depression and cognitive functions 2. Methodological aspects and data quality]
- Author
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Rete Infermieri GISSI HF, Di Giulio P, Pera C, Scarano M, Ferri B, Lepore V, Miani D, Tognoni G, Rosson V, Serafini C, Zumino MT, Partemi L, Falleroni ML, Moretti L, Porta L, Santorsola A, Tenerelli T, Bertoncelli B, Mengoli G, Stagnitto M, Puddu GM, Masini E, Pasini A, Boni S, Valsesia E, Cornacini G, Melis D, Mulina A, Giurlanda A, Fava M, Bellini P, Vallucci S, Cuomo A, Campanale S, Monatti G, Bianco T, Milli V, Antonelli L, Fanin L, Faiola L, Stefanizzi R, Mariani M, Rossi A, Regnani ST, Loreni F, Cianfrocca R, Pisani A, Faraolfi V, Ponzalli P, Savli T, Cresci M, Guardalben S, Belluzzo B, Ruberti R, Zizzi M, Tonda C, Cadrobbi MG, Gilardi R, Mondì A, Costa A, Milan S, Zottarelli A, Parodi B, Sartorio N, Rossin B, Santi A, Cagnan P, Maradei E, Cauteruccio A, Carpino C, Addeo R, Izzo A, Amendola G, Prizzitano AM, Piluso GM, Iadevaio AL, Cinà MT, Cirrincione V, Gumina S, Codato G, Raimondo F, Capiello MG, Creta F, Barbieri M, Chiarella L, Abbondio L, Piccin M, Spillone V, Cutrupi G, Ruggeri A, Sicilia G, Provengano A, Marcari P, Ricci S, Pazzagli E, La Grotteria M, Orsini R, Leandri L, Vetere NA, Braggion E, Giordanino S, Armando S, Zampieri E, Danese MC, Valentini A, Ferrante MG, Santacroce C, Crocetti I, Macchi F, Bernacchi M, Pini D, Varì M, Lucente M, Scaramastra F, Reichardt S, Gabasio S, Zocchi C, Studhika M, Budzowska E, Cescon M, Lazzari D, Prizzon A, Di Biaggio P, Buda C, Mastrangelo V, Avigliano M, Dell'Aquila L, Bonanomi E, Mezzani A, Porcini F, Girardi G., PERRONE FILARDI, PASQUALE, Rete Infermieri GISSI, Hf, Di Giulio, P, Pera, C, Scarano, M, Ferri, B, Lepore, V, Miani, D, Tognoni, G, Rosson, V, Serafini, C, Zumino, Mt, Partemi, L, Falleroni, Ml, Moretti, L, Porta, L, Santorsola, A, Tenerelli, T, Bertoncelli, B, Mengoli, G, Stagnitto, M, Puddu, Gm, Masini, E, Pasini, A, Boni, S, Valsesia, E, Cornacini, G, Melis, D, Mulina, A, Giurlanda, A, Fava, M, Bellini, P, Vallucci, S, Cuomo, A, Campanale, S, Monatti, G, Bianco, T, Milli, V, Antonelli, L, Fanin, L, Faiola, L, Stefanizzi, R, Mariani, M, Rossi, A, Regnani, St, Loreni, F, Cianfrocca, R, Pisani, A, Faraolfi, V, Ponzalli, P, Savli, T, Cresci, M, Guardalben, S, Belluzzo, B, Ruberti, R, Zizzi, M, Tonda, C, Cadrobbi, Mg, Gilardi, R, Mondì, A, Costa, A, Milan, S, Zottarelli, A, Parodi, B, Sartorio, N, Rossin, B, Santi, A, Cagnan, P, Maradei, E, Cauteruccio, A, Carpino, C, Addeo, R, Izzo, A, Amendola, G, PERRONE FILARDI, Pasquale, Prizzitano, Am, Piluso, Gm, Iadevaio, Al, Cinà, Mt, Cirrincione, V, Gumina, S, Codato, G, Raimondo, F, Capiello, Mg, Creta, F, Barbieri, M, Chiarella, L, Abbondio, L, Piccin, M, Spillone, V, Cutrupi, G, Ruggeri, A, Sicilia, G, Provengano, A, Marcari, P, Ricci, S, Pazzagli, E, La Grotteria, M, Orsini, R, Leandri, L, Vetere, Na, Braggion, E, Giordanino, S, Armando, S, Zampieri, E, Danese, Mc, Valentini, A, Ferrante, Mg, Santacroce, C, Crocetti, I, Macchi, F, Bernacchi, M, Pini, D, Varì, M, Lucente, M, Scaramastra, F, Reichardt, S, Gabasio, S, Zocchi, C, Studhika, M, Budzowska, E, Cescon, M, Lazzari, D, Prizzon, A, Di Biaggio, P, Buda, C, Mastrangelo, V, Avigliano, M, Dell'Aquila, L, Bonanomi, E, Mezzani, A, Porcini, F, and Girardi, G.
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Depression ,Patient Selection ,Cardiology ,Middle Aged ,Prognosis ,Nursing Research ,Cognition ,Italy ,Surveys and Questionnaires ,Quality of Life ,Humans ,Multicenter Studies as Topic ,Cardiomyopathies ,Geriatric Assessment ,Aged ,Randomized Controlled Trials as Topic - Abstract
To document the degree of reliability of validated and mainly qualitative questionnaires most often used in research settings and/or projects, in a broad network of unselected cardiological centres; to assess whether the quality of data could be compatible with their use not only as descriptive but also in prognostic scores including mainly "hard" clinical variables.Eighty-three patients were included. Compliance with the self-administration of the Kansas City Cardiomiopathy Questionnaire (KCCQ) and the Geriatric Depression Scale (GDS) was very high throughout the study (KCCQ 97.7% baseline and 85.8% at three years). As expected more difficulties were encountered with the Mini Mental State Examination (administered to 80.6% patients baseline and to 54.3% at three years). Main reasons for not administering questionnaires was ascribed to organizational and patients problems.It is worth noticing that the study was conducted by nurses without economical incentives. The questionnaires were well completed with minimal missing data. If questionnaires are well presented to patients, a routine assessment of quality of life and depression could be feasible in everyday care.
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- 2009
8. [Quality of life, depression and cognitive functions 4. Quality of life]
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Rete Infermieri GISSI HF, Di Giulio P, Pera C, Scarano M, Ferri B, Lepore V, Miani D, Tognoni G, Rosson V, Serafini C, Zumino MT, Partemi L, Falleroni ML, Moretti L, Porta L, Santorsola A, Tenerelli T, Bertoncelli B, Mengoli G, Stagnitto M, Puddu GM, Masini E, Pasini A, Boni S, Valsesia E, Cornacini G, Melis D, Mulina A, Giurlanda A, Fava M, Bellini P, Vallucci S, Cuomo A, Campanale S, Monatti G, Bianco T, Milli V, Antonelli L, Fanin L, Faiola L, Stefanizzi R, Mariani M, Rossi A, Regnani ST, Loreni F, Cianfrocca R, Pisani A, Faraolfi V, Ponzalli P, Savli T, Cresci M, Guardalben S, Belluzzo B, Ruberti R, Zizzi M, Tonda C, Cadrobbi MG, Gilardi R, Mondì A, Costa A, Milan S, Zottarelli A, Parodi B, Sartorio N, Rossin B, Santi A, Cagnan P, Maradei E, Cauteruccio A, Carpino C, Addeo R, Izzo A, Amendola G, Prizzitano AM, Piluso GM, Iadevaio AL, Cinà MT, Cirrincione V, Gumina S, Codato G, Raimondo F, Capiello MG, Creta F, Barbieri M, Chiarella L, Abbondio L, Piccin M, Spillone V, Cutrupi G, Ruggeri A, Sicilia G, Provengano A, Marcari P, Ricci S, Pazzagli E, La Grotteria M, Orsini R, Leandri L, Vetere NA, Braggion E, Giordanino S, Armando S, Zampieri E, Danese MC, Valentini A, Ferrante MG, Santacroce C, Crocetti I, Macchi F, Bernacchi M, Pini D, Varì M, Lucente M, Scaramastra F, Reichardt S, Gabasio S, Zocchi C, Studhika M, Budzowska E, Cescon M, Lazzari D, Prizzon A, Di Baggio P, Buda C, Mastrangelo V, Avigliano M, Dell'Aquila L, Bonanomi E, Mezzani A, Porcini F, Girardi G., PERRONE FILARDI, PASQUALE, Rete Infermieri GISSI, Hf, Di Giulio, P, Pera, C, Scarano, M, Ferri, B, Lepore, V, Miani, D, Tognoni, G, Rosson, V, Serafini, C, Zumino, Mt, Partemi, L, Falleroni, Ml, Moretti, L, Porta, L, Santorsola, A, Tenerelli, T, Bertoncelli, B, Mengoli, G, Stagnitto, M, Puddu, Gm, Masini, E, Pasini, A, Boni, S, Valsesia, E, Cornacini, G, Melis, D, Mulina, A, Giurlanda, A, Fava, M, Bellini, P, Vallucci, S, Cuomo, A, Campanale, S, Monatti, G, Bianco, T, Milli, V, Antonelli, L, Fanin, L, Faiola, L, Stefanizzi, R, Mariani, M, Rossi, A, Regnani, St, Loreni, F, Cianfrocca, R, Pisani, A, Faraolfi, V, Ponzalli, P, Savli, T, Cresci, M, Guardalben, S, Belluzzo, B, Ruberti, R, Zizzi, M, Tonda, C, Cadrobbi, Mg, Gilardi, R, Mondì, A, Costa, A, Milan, S, Zottarelli, A, Parodi, B, Sartorio, N, Rossin, B, Santi, A, Cagnan, P, Maradei, E, Cauteruccio, A, Carpino, C, Addeo, R, Izzo, A, Amendola, G, PERRONE FILARDI, Pasquale, Prizzitano, Am, Piluso, Gm, Iadevaio, Al, Cinà, Mt, Cirrincione, V, Gumina, S, Codato, G, Raimondo, F, Capiello, Mg, Creta, F, Barbieri, M, Chiarella, L, Abbondio, L, Piccin, M, Spillone, V, Cutrupi, G, Ruggeri, A, Sicilia, G, Provengano, A, Marcari, P, Ricci, S, Pazzagli, E, La Grotteria, M, Orsini, R, Leandri, L, Vetere, Na, Braggion, E, Giordanino, S, Armando, S, Zampieri, E, Danese, Mc, Valentini, A, Ferrante, Mg, Santacroce, C, Crocetti, I, Macchi, F, Bernacchi, M, Pini, D, Varì, M, Lucente, M, Scaramastra, F, Reichardt, S, Gabasio, S, Zocchi, C, Studhika, M, Budzowska, E, Cescon, M, Lazzari, D, Prizzon, A, Di Baggio, P, Buda, C, Mastrangelo, V, Avigliano, M, Dell'Aquila, L, Bonanomi, E, Mezzani, A, Porcini, F, and Girardi, G.
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Male ,Depression ,Cardiology ,Prognosis ,Hospitalization ,Nursing Research ,Cognition ,Italy ,Risk Factors ,Data Interpretation, Statistical ,Surveys and Questionnaires ,Quality of Life ,Humans ,Female ,Mortality ,Cardiomyopathies ,Aged ,Randomized Controlled Trials as Topic - Abstract
Aim of this paper is to explore and quanti-quantitatively assess whether QoL as measured with the Kansas City Cardiomiopathy Questionnaire (KCCQ) summary score could be considered as an independent relevant component of clinical prognostic score of morbidity and mortality and identify patients at risk for death or admissions.Sixty-three per cent NYHA II and 39.4% NYHA III-IV patients experience a good Qol (score75). Risk factors for "not good" (75) QoL are age, NYHA class III-IV, diabetes, COPD and previous hospitalizations. NYHA II and III-IV patients with not good QoL experience an higher mortality than patients with a good QoL in the same classes. NYHA II patients with not good QoL experience the same 1 year readmission rates as NYHA III-IV patients with good QoL.Quality of life scores identify patients with different risk of mortality and readmissions within the same NYHA class. The prognostic value of KCCQ summary scores could identify candidates for disease management in whom better targeted care strategies may reduce hospitalizations and prevent deaths.
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- 2009
9. [Quality of life, depression and cognitive functions 3. The main characteristics of the QDF study population]
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Rete Infermieri GISSI HF, Di Giulio P, Pera C, Scarano M, Ferri B, Lepore V, Miani D, Tognoni G, Rosson V, Serafini C, Zumino MT, Partemi L, Falleroni ML, Moretti L, Porta L, Santorsola A, Tenerelli T, Bertoncelli B, Mengoli G, Stagnitto M, Puddu GM, Masini E, Pasini A, Boni S, Valsesia E, Cornacini G, Melis D, Mulina A, Giurlanda A, Fava M, Bellini P, Vallucci S, Cuomo A, Campanale S, Monatti G, Bianco T, Milli V, Antonelli L, Fanin L, Faiola L, Stefanizzi R, Mariani M, Rossi A, Regnani ST, Loreni F, Cianfrocca R, Pisani A, Faraolfi V, Ponzalli P, Savli T, Cresci M, Guardalben S, Belluzzo B, Ruberti R, Zizzi M, Tonda C, Cadrobbi MG, Gilardi R, Mondì A, Costa A, Milan S, Zottarelli A, Parodi B, Sartorio N, Rossin B, Santi A, Cagnan P, Maradei E, Cauteruccio A, Carpino C, Addeo R, Izzo A, Amendola G, Prizzitano AM, Piluso GM, Iadevaio AL, Cinà MT, Cirrincione V, Gumina S, Codato G, Raimondo F, Cappiello MG, Creta F, Barbieri M, Chiarella L, Abbondio L, Piccin M, Spillone V, Cutrupi G, Ruggeri A, Sicilia G, Provengano A, Marcari P, Ricci S, Pazzagli E, La Grotteria M, Orsini R, Leandri L, Vetere NA, Braggion E, Giordanino S, Armando S, Zampieri E, Danese MC, Valentini A, Ferrante MG, Santacroce C, Crocetti I, Macchi F, Bernacchi M, Pini D, Varì M, Lucente M, Scaramastra F, Reichardt S, Gabasio S, Zocchi C, Studhika M, Budzowska E, Cescon M, Lazzari D, Prizzon A, Di Biaggio P, Buda C, Mastrangelo V, Avigliano M, Dell'Aquila L, Bonanomi E, Mezzani A, Porcini F, Girardi G., PERRONE FILARDI, PASQUALE, Rete Infermieri GISSI, Hf, Di Giulio, P, Pera, C, Scarano, M, Ferri, B, Lepore, V, Miani, D, Tognoni, G, Rosson, V, Serafini, C, Zumino, Mt, Partemi, L, Falleroni, Ml, Moretti, L, Porta, L, Santorsola, A, Tenerelli, T, Bertoncelli, B, Mengoli, G, Stagnitto, M, Puddu, Gm, Masini, E, Pasini, A, Boni, S, Valsesia, E, Cornacini, G, Melis, D, Mulina, A, Giurlanda, A, Fava, M, Bellini, P, Vallucci, S, Cuomo, A, Campanale, S, Monatti, G, Bianco, T, Milli, V, Antonelli, L, Fanin, L, Faiola, L, Stefanizzi, R, Mariani, M, Rossi, A, Regnani, St, Loreni, F, Cianfrocca, R, Pisani, A, Faraolfi, V, Ponzalli, P, Savli, T, Cresci, M, Guardalben, S, Belluzzo, B, Ruberti, R, Zizzi, M, Tonda, C, Cadrobbi, Mg, Gilardi, R, Mondì, A, Costa, A, Milan, S, Zottarelli, A, Parodi, B, Sartorio, N, Rossin, B, Santi, A, Cagnan, P, Maradei, E, Cauteruccio, A, Carpino, C, Addeo, R, Izzo, A, Amendola, G, PERRONE FILARDI, Pasquale, Prizzitano, Am, Piluso, Gm, Iadevaio, Al, Cinà, Mt, Cirrincione, V, Gumina, S, Codato, G, Raimondo, F, Cappiello, Mg, Creta, F, Barbieri, M, Chiarella, L, Abbondio, L, Piccin, M, Spillone, V, Cutrupi, G, Ruggeri, A, Sicilia, G, Provengano, A, Marcari, P, Ricci, S, Pazzagli, E, La Grotteria, M, Orsini, R, Leandri, L, Vetere, Na, Braggion, E, Giordanino, S, Armando, S, Zampieri, E, Danese, Mc, Valentini, A, Ferrante, Mg, Santacroce, C, Crocetti, I, Macchi, F, Bernacchi, M, Pini, D, Varì, M, Lucente, M, Scaramastra, F, Reichardt, S, Gabasio, S, Zocchi, C, Studhika, M, Budzowska, E, Cescon, M, Lazzari, D, Prizzon, A, Di Biaggio, P, Buda, C, Mastrangelo, V, Avigliano, M, Dell'Aquila, L, Bonanomi, E, Mezzani, A, Porcini, F, and Girardi, G.
- Subjects
Aged, 80 and over ,Male ,Depression ,Age Factors ,Cardiology ,Prognosis ,Education ,Nursing Research ,Cognition ,Sex Factors ,Italy ,Surveys and Questionnaires ,Quality of Life ,Humans ,Female ,Cardiomyopathies ,Aged ,Randomized Controlled Trials as Topic - Abstract
This contribution describes the patients included for the QDF (Quality of life, Depression and Cognitive functions) study and explores the distribution and time trends of scores of the three dimensions.The large majority of patients are males (78.3%), and mean age is 67.2 +/- 10.7 years (9.2%80 years). Patients in NYHA class III-IV experience more depression and a worse QoL as compared to the less severly clinically affected counterparts in NYHA class. Although QoL and depression are influenced by the same variables, not all patients with bad QoL are depressed and viceversa. Mean scores of cognitive functioning are not influenced by the same variables that influence QoL and depression.The regular measurement of QoL, depression and cognitive function is recommended by some authors. It seems to be confirmed that the three dimensions need to be explored to disentangle the specific informative value that each of them could add to clinical measures.
- Published
- 2009
10. [Quality of life, depression and cognitive functions 6. Cognitive functions]
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Rete Infermieri GISSI HF, Di Giulio P, Pera C, Scarano M, Ferri B, Lepore V, Miani D, Tognoni G, Rosson V, Serafini C, Zumino MT, Partemi L, Falleroni ML, Moretti L, Porta L, Santorsola A, Tenerelli T, Bertoncelli B, Mengoli G, Stagnitto M, Puddu GM, Masini E, Pasini A, Boni S, Valsesia E, Cornacini G, Melis D, Mulina A, Giurlanda A, Fava M, Bellini P, Vallucci S, Cuomo A, Campanale S, Monatti G, Bianco T, Milli V, Antonelli L, Fanin L, Faiola L, Stefanizzi R, Mariani M, Rossi A, Regnani ST, Loreni F, Cianfrocca R, Pisani A, Faraolfi V, Ponzalli P, Savli T, Cresci M, Guardalben S, Belluzzo B, Ruberti R, Zizzi M, Tonda C, Cadrobbi MG, Gilardi R, Mondì A, Costa A, Milan S, Zottarelli A, Parodi B, Sartorio N, Rossin B, Santi A, Cagnan P, Maradei E, Cauteruccio A, Carpino C, Addeo R, Izzo A, Amendola G, Prizzitano AM, Piluso GM, Iadevaio AL, Cinà MT, Cirrincione V, Gumina S, Codato G, Raimondo F, Cappiello MG, Creta F, Barbieri M, Chiarella L, Abbondio L, Piccin M, Spillone V, Cutrupi G, Ruggeri A, Sicilia G, Provengano A, Marcari P, Ricci S, Pazzagli E, La Grotteria M, Orsini R, Leandri L, Vetere NA, Braggion E, Giordanino S, Armando S, Zampieri E, Danese MC, Valentini A, Ferrante MG, Santacroce C, Crocetti I, Macchi F, Bernacchi M, Pini D, Varì M, Lucente M, Scaramastra F, Reichardt S, Gabasio S, Zocchi C, Studhika M, Budzowska E, Cescon M, Lazzari D, Prizzon A, Di Biaggio P, Buda C, Mastrangelo V, Avigliano M, Dell'Aquila L, Bonanomi E, Mezzani A, Porcini F, Girardi G., PERRONE FILARDI, PASQUALE, Rete Infermieri GISSI, Hf, Di Giulio, P, Pera, C, Scarano, M, Ferri, B, Lepore, V, Miani, D, Tognoni, G, Rosson, V, Serafini, C, Zumino, Mt, Partemi, L, Falleroni, Ml, Moretti, L, Porta, L, Santorsola, A, Tenerelli, T, Bertoncelli, B, Mengoli, G, Stagnitto, M, Puddu, Gm, Masini, E, Pasini, A, Boni, S, Valsesia, E, Cornacini, G, Melis, D, Mulina, A, Giurlanda, A, Fava, M, Bellini, P, Vallucci, S, Cuomo, A, Campanale, S, Monatti, G, Bianco, T, Milli, V, Antonelli, L, Fanin, L, Faiola, L, Stefanizzi, R, Mariani, M, Rossi, A, Regnani, St, Loreni, F, Cianfrocca, R, Pisani, A, Faraolfi, V, Ponzalli, P, Savli, T, Cresci, M, Guardalben, S, Belluzzo, B, Ruberti, R, Zizzi, M, Tonda, C, Cadrobbi, Mg, Gilardi, R, Mondì, A, Costa, A, Milan, S, Zottarelli, A, Parodi, B, Sartorio, N, Rossin, B, Santi, A, Cagnan, P, Maradei, E, Cauteruccio, A, Carpino, C, Addeo, R, Izzo, A, Amendola, G, PERRONE FILARDI, Pasquale, Prizzitano, Am, Piluso, Gm, Iadevaio, Al, Cinà, Mt, Cirrincione, V, Gumina, S, Codato, G, Raimondo, F, Cappiello, Mg, Creta, F, Barbieri, M, Chiarella, L, Abbondio, L, Piccin, M, Spillone, V, Cutrupi, G, Ruggeri, A, Sicilia, G, Provengano, A, Marcari, P, Ricci, S, Pazzagli, E, La Grotteria, M, Orsini, R, Leandri, L, Vetere, Na, Braggion, E, Giordanino, S, Armando, S, Zampieri, E, Danese, Mc, Valentini, A, Ferrante, Mg, Santacroce, C, Crocetti, I, Macchi, F, Bernacchi, M, Pini, D, Varì, M, Lucente, M, Scaramastra, F, Reichardt, S, Gabasio, S, Zocchi, C, Studhika, M, Budzowska, E, Cescon, M, Lazzari, D, Prizzon, A, Di Biaggio, P, Buda, C, Mastrangelo, V, Avigliano, M, Dell'Aquila, L, Bonanomi, E, Mezzani, A, Porcini, F, and Girardi, G.
- Subjects
Aged, 80 and over ,Heart Failure ,Male ,Time Factors ,Depression ,Cardiology ,Prognosis ,Education ,Hospitalization ,Nursing Research ,Sex Factors ,Italy ,Risk Factors ,Prevalence ,Quality of Life ,Humans ,Female ,Mortality ,Cognition Disorders ,Aged ,Randomized Controlled Trials as Topic - Abstract
The prevalence of cognitive impairment (CI) is reported to be higher in heart failure patients than in the general population.To describe the prevalence of CI and to assess its prognostic value on the increased risk of hospitalizations and death over the medium term (3 years).MMSE was administered to 620/745 heart failure patients70 years. Up to 35% of the tested population were classified as mild CI and 12% as moderate. The severity of baseline clinical conditions, as expressed as NYHA classes, do not appear to be associated to different degrees of CI. The subgroup of patients with moderate CI includes higher proportion of people with the lowest educational level, of feminine gender, of higher age (80). Even in a population closely monitored as the one included in the GISSI-HLF trial, it is worth to be underlined that the presence of moderate CI appears to be strongly prognostic of an increased burden of care (hospitalizations), and of death over the whole observation period of the study (3 years).The presence of even mild or moderate CI is prognostic for increased mortality and readmissions for patients of the same NYHA class. In the absence of effective intervention strategies, research should concentrate on the yield, if any, of a systematic screening for CI in heart failure patients.
- Published
- 2009
11. [Quality of life, depression and cognitive functions 5. Depression]
- Author
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Rete Infermieri GISSI HF, Di Giulio P, Pera C, Scarano M, Ferri B, Lepore V, Miani D, Tognoni G, Rosson V, Serafini C, Zumino MT, Partemi L, Falleroni ML, Moretti L, Porta L, Santorsola A, Tenerelli T, Bertoncelli B, Mengoli G, Stagnitto M, Puddu GM, Masini E, Pasini A, Boni S, Valsesia E, Cornacini G, Melis D, Mulina A, Giurlanda A, Fava M, Bellini P, Vallucci S, Cuomo A, Campanale S, Monatti G, Bianco T, Milli V, Antonelli L, Fanin L, Faiola L, Stefanizzi R, Mariani M, Rossi A, Regnani ST, Loreni F, Cianfrocca R, Pisani A, Faraolfi V, Ponzalli P, Savli T, Cresci M, Guardalben S, Belluzzo B, Ruberti R, Zizzi M, Tonda C, Cadrobbi MG, Gilardi R, Mondì A, Costa A, Milan S, Zottarelli A, Parodi B, Sartorio N, Rossin B, Santi A, Cagnan P, Maradei E, Cauteruccio A, Carpino C, Addeo R, Izzo A, Amendola G, Prizzitano AM, Piluso GM, Iadevaio AL, Cinà MT, Cirrincione V, Gumina S, Codato G, Raimondo F, Cappiello MG, Creta F, Barbieri M, Chiarella L, Abbondio L, Piccin M, Spillone V, Cutrupi G, Ruggeri A, Sicilia G, Provengano A, Marcari P, Ricci S, Pazzagli E, La Grotteria M, Orsini R, Leandri L, Vetere NA, Braggion E, Giordanino S, Armando S, Zampieri E, Danese MC, Valentini A, Ferrante MG, Santacroce C, Crocetti I, Macchi F, Bernacchi M, Pini D, Varì M, Lucente M, Scaramastra F, Reichardt S, Gabasio S, Zocchi C, Studhika M, Budzowska E, Cescon M, Lazzari D, Prizzon A, Di Biaggio P, Buda C, Mastrangelo V, Avigliano M, Dell'Aquila L, Bonanomi E, Mezzani A, Porcini F, Girardi G., PERRONE FILARDI, PASQUALE, Rete Infermieri GISSI, Hf, Di Giulio, P, Pera, C, Scarano, M, Ferri, B, Lepore, V, Miani, D, Tognoni, G, Rosson, V, Serafini, C, Zumino, Mt, Partemi, L, Falleroni, Ml, Moretti, L, Porta, L, Santorsola, A, Tenerelli, T, Bertoncelli, B, Mengoli, G, Stagnitto, M, Puddu, Gm, Masini, E, Pasini, A, Boni, S, Valsesia, E, Cornacini, G, Melis, D, Mulina, A, Giurlanda, A, Fava, M, Bellini, P, Vallucci, S, Cuomo, A, Campanale, S, Monatti, G, Bianco, T, Milli, V, Antonelli, L, Fanin, L, Faiola, L, Stefanizzi, R, Mariani, M, Rossi, A, Regnani, St, Loreni, F, Cianfrocca, R, Pisani, A, Faraolfi, V, Ponzalli, P, Savli, T, Cresci, M, Guardalben, S, Belluzzo, B, Ruberti, R, Zizzi, M, Tonda, C, Cadrobbi, Mg, Gilardi, R, Mondì, A, Costa, A, Milan, S, Zottarelli, A, Parodi, B, Sartorio, N, Rossin, B, Santi, A, Cagnan, P, Maradei, E, Cauteruccio, A, Carpino, C, Addeo, R, Izzo, A, Amendola, G, PERRONE FILARDI, Pasquale, Prizzitano, Am, Piluso, Gm, Iadevaio, Al, Cinà, Mt, Cirrincione, V, Gumina, S, Codato, G, Raimondo, F, Cappiello, Mg, Creta, F, Barbieri, M, Chiarella, L, Abbondio, L, Piccin, M, Spillone, V, Cutrupi, G, Ruggeri, A, Sicilia, G, Provengano, A, Marcari, P, Ricci, S, Pazzagli, E, La Grotteria, M, Orsini, R, Leandri, L, Vetere, Na, Braggion, E, Giordanino, S, Armando, S, Zampieri, E, Danese, Mc, Valentini, A, Ferrante, Mg, Santacroce, C, Crocetti, I, Macchi, F, Bernacchi, M, Pini, D, Varì, M, Lucente, M, Scaramastra, F, Reichardt, S, Gabasio, S, Zocchi, C, Studhika, M, Budzowska, E, Cescon, M, Lazzari, D, Prizzon, A, Di Biaggio, P, Buda, C, Mastrangelo, V, Avigliano, M, Dell'Aquila, L, Bonanomi, E, Mezzani, A, Porcini, F, and Girardi, G.
- Subjects
Male ,Time Factors ,Depression ,Health Status ,Cardiology ,Patient Readmission ,Hospitalization ,Nursing Research ,Cognition ,Sex Factors ,Italy ,Risk Factors ,Data Interpretation, Statistical ,Prevalence ,Quality of Life ,Humans ,Female ,Mortality ,Geriatric Assessment ,Aged ,Randomized Controlled Trials as Topic - Abstract
Depression is common in patients with heart failure but its causal and/or prognostic role with respect to the cardiac condition in still a matter of research.To describe the prevalence of depression and to assess its specific prognostic value in terms of increased risk of hospitalizations or death.Overall, 27.5% of 1495 patients experience symptoms of depression. Risk factors for depression are female sex, age70, higher NYHA class, previous hospitalizations and comorbidities. Depressed patients of the same NYHA class are at higher risk for 1 and 3 years mortality and all causes hospital admissions.Depression, assessed with a simple and easy to administer instrument, can add information to clinical variables in the identification of patients at increased risk of mortality and readmissions within the same NYHA class.
- Published
- 2009
12. La gestione strategica del centro città: una proposta di metodo e un confronto tra esperienze internazionali
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Napolitano, M. R., Riviezzo, A., and Codato, G.
- Published
- 2011
13. Observational Characterization of the Downward Atmospheric Longwave Radiation at the Surface in the City of São Paulo
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Wilde Barbaro, E., Oliveira, A.P., Soares, J., Codato, G., Ferreira, M.J., Mlakar, P., Boznar, M.Z., Escobedo, J., Wilde Barbaro, E., Oliveira, A.P., Soares, J., Codato, G., Ferreira, M.J., Mlakar, P., Boznar, M.Z., and Escobedo, J.
- Abstract
This work describes the seasonal and diurnal variations of downward longwave atmospheric irradiance (LW) at the surface in São Paulo, Brazil, using 5-min-averaged values of LW, air temperature, relative humidity, and solar radiation observed continuously and simultaneously from 1997 to 2006 on a micrometeorological platform, located at the top of a 4-story building. An objective procedure, including 2-step filtering and dome emission effect correction, was used to evaluate the quality of the 9-yr-long LW dataset. The comparison between LW values observed and yielded by the Surface Radiation Budget project shows spatial and temporal agreement, indicating that monthly and annual average values of LW observed in one point of São Paulo can be used as representative of the entire metropolitan region of São Paulo. The maximum monthly averaged value of the LW is observed during summer (389 ± 14 W m-2; January), and the minimum is observed during winter (332 ± 12 W m-2; July). The effective emissivity follows the LW and shows a maximum in summer (0.907 ± 0.032; January) and a minimum in winter (0.818 ± 0.029; June). The mean cloud effect, identified objectively by comparing the monthly averaged values of the LW during clear-sky days and all-sky conditions, intensified the monthly average LW by about 32.0 ± 3.5 W m-2 and the atmospheric effective emissivity by about 0.088 ± 0.024. In August, the driest month of the year in São Paulo, the diurnal evolution of the LW shows a minimum (325 ± 11 W m-2) at 0900 LT and a maximum (345 ± 12 W m-2) at 1800 LT, which lags behind (by 4 h) the maximum diurnal variation of the screen temperature. The diurnal evolution of effective emissivity shows a minimum (0.781 ± 0.027) during daytime and a maximum (0.842 ± 0.030) during nighttime. The diurnal evolution of all-sky condition and clear-sky day differences in the effective emissivity remain relatively constant (7% ± 1%), indicating that clouds do not change the emissivity diurnal pattern.
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- 2010
14. Evolução Diurna do Balanço de Radiação na Superfície da Cidade de São Paulo, Brasil
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Ferreira, M.J., Oliveira, A.P., Soares, J., Barbaro, E.W., Codato, G., Fonseca, F.L.A., da Silva, M., Ferreira, M.J., Oliveira, A.P., Soares, J., Barbaro, E.W., Codato, G., Fonseca, F.L.A., and da Silva, M.
- Abstract
Este trabalho tem como objetivo descrever a evolução temporal das componentes do balanço de radiação na superfície da região metropolitana da cidade de São Paulo durante o ano de 2004. E avaliar a possibilidade de utilizar estimativas de satélite para representar os padrões espaciais das componentes do balanço de radiação na superfície da região metropolitana da cidade de São Paulo. As observações na plataforma micrometeorológica do Instituto de Astronomia, Geofísica e Ciências Atmosféricas são comparadas com estimativas de radiação solar global, onda longa da atmosfera e onda longa emitida pela superfície do Projeto SRB. A excelente concordância entre os valores médios mensais de radiação solar global e de onda longa emitida pela atmosfera, observados e estimados pelo satélite indica que este último pode ser considerado como representativo de toda região metropolitana da cidade de São Paulo. A evolução diurna dos valores médios mensais de radiação solar incidente e refletida pela superfície indica que o albedo da região da cidade de São Paulo varia de 0,10 a 0,12 durante o ano. A evolução diurna dos valores médios mensais de radiação de onda longa emitida pela atmosfera e pela superfície indica que a emissividade média da região urbana de São Paulo é da ordem de 0.96 e a emissividade da atmosfera é da ordem de 0,82 estando compatíveis com as estimativas de satélite. A evolução diurna dos valores médios mensais de radiação liquida indicam que a nebulosidade reduz a amplitude da radiação líquida, principalmente durante o período noturno nos meses de verão na cidade de São Paulo
- Published
- 2007
15. Global and diffuse solar irradiances in urban and rural areas in southeast Brazil
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Codato, G., primary, Oliveira, A. P., additional, Soares, J., additional, Escobedo, J. F., additional, Gomes, E. N., additional, and Pai, A. D., additional
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- 2007
- Full Text
- View/download PDF
16. Large Eddy simulation of carbon monoxide in the city of São Paulo
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Codato, G., Oliveira, A. P., Edson P. Marques Filho, and Rizza, U.
17. Meteorological and surface radiation data observed at the Brazilian Antarctic station on King George Island.
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Soares J, Alves M, Dutra Ribeiro FN, and Codato G
- Abstract
The observational data described here was collected between 28 February 2011 and 30 November 2015. The data analysis and interpretation were published in the article "Surface radiation balance and weather conditions on a non-glaciated coastal area in the Antarctic region" [1]. An instrumented tower located on the non-glaciated coastal area of the of the Brazilian Antarctic Comandante Ferraz Station, at King George Island, Antarctic Peninsula was used. It was collected data of air temperature and relative humidity, wind speed and direction, barometric pressure, incident and reflected shortwave radiation, longwave radiation emitted by atmosphere and by surface, and net radiation with a sampling frequency of 0.1 Hz. The data was stored as 5-min averages and automatically transmitted to the Air-Sea Interaction Laboratory, at the University of São Paulo, Brazil. The dataset is hosted in the Mendeley repository.
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- 2019
- Full Text
- View/download PDF
18. Upwelling regime off the Cabo Frio region in Brazil and impact on acoustic propagation.
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Calado L, Camargo Rodríguez O, Codato G, and Contrera Xavier F
- Abstract
This work introduces a description of the complex upwelling regime off the Cabo Frio region in Brazil and shows that ocean modeling, based on the feature-oriented regional modeling system (FORMS) technique, can produce reliable predictions of sound speed fields for the corresponding shallow water environment. This work also shows, through the development of simulations, that the upwelling regime can be responsible for the creation of shadow coastal zones, in which the detection probability is too low for an acoustic source to be detected. The development of the FORMS technique and its validation with real data, for the particular region of coastal upwelling off Cabo Frio, reveals the possibility of a sustainable and reliable forecast system for the corresponding (variable in space and time) underwater acoustic environment.
- Published
- 2018
- Full Text
- View/download PDF
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