43 results on '"Scali, Maria Chiara"'
Search Results
2. Pulmonary Congestion During Exercise Stress Echocardiography in Ischemic and Heart Failure Patients
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Merli, Elisa, Ciampi, Quirino, Scali, Maria Chiara, Zagatina, Angela, Merlo, Pablo Martin, Arbucci, Rosina, Daros, Clarissa Borguezan, de Castro e Silva Pretto, José Luis, Amor, Miguel, Salamè, Michael F., Mosto, Hugo, Morrone, Doralisa, D’Andrea, Antonello, Reisenhofer, Barbara, Rodriguez-Zanella, Hugo, Wierzbowska-Drabik, Karina, Kasprzak, Jaroslaw D., Agoston, Gergely, Varga, Albert, Lowenstein, Jorge, Dodi, Claudio, Cortigiani, Lauro, Simova, Iana, Samardjieva, Martina, Citro, Rodolfo, Celutkiene, Jelena, Re, Federica, Monte, Ines, Gligorova, Suzana, Antonini-Canterin, Francesco, Pepi, Mauro, Carpeggiani, Clara, Pellikka, Patricia A., and Picano, Eugenio
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- 2022
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3. Functional, Anatomical, and Prognostic Correlates of Coronary Flow Velocity Reserve During Stress Echocardiography
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Ciampi, Quirino, Zagatina, Angela, Cortigiani, Lauro, Gaibazzi, Nicola, Borguezan Daros, Clarissa, Zhuravskaya, Nadezhda, Wierzbowska-Drabik, Karina, Kasprzak, Jaroslaw D., de Castro e Silva Pretto, José Luis, D'Andrea, Antonello, Djordjevic-Dikic, Ana, Monte, Ines, Simova, Iana, Boshchenko, Alla, Citro, Rodolfo, Amor, Miguel, Merlo, Pablo Martin, Dodi, Claudio, Rigo, Fausto, Gligorova, Suzana, Dekleva, Milica, Severino, Sergio, Lattanzi, Fabio, Scali, Maria Chiara, Vrublevsky, Alexander, Torres, Marco A.R., Salustri, Alessandro, Rodrìguez-Zanella, Hugo, Costantino, Fabio Marco, Varga, Albert, Bossone, Eduardo, Colonna, Paolo, De Nes, Michele, Paterni, Marco, Carpeggiani, Clara, Lowenstein, Jorge, Gregori, Dario, and Picano, Eugenio
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- 2019
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4. Quality control of regional wall motion analysis in stress Echo 2020
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Ciampi, Quirino, Picano, Eugenio, Paterni, Marco, Daros, Clarissa Borguezan, Simova, Iana, de Castro e Silva Pretto, José Luis, Scali, Maria Chiara, Gaibazzi, Nicola, Severino, Sergio, Djordjevic-Dikic, Ana, Kasprzak, Jaroslaw D., Zagatina, Angela, Varga, Albert, Lowenstein, Jorge, Merlo, Pablo Martin, Amor, Miguel, Celutkiene, Jelena, Perez, Julio E., Di Salvo, Giovanni, Galderisi, Maurizio, Mori, Fabio, Costantino, Marco Fabio, Massa, Laura, Dekleva, Milica, Chaves, Daniel Quesada, Trambaiolo, Paolo, Citro, Rodolfo, Colonna, Paolo, Rigo, Fausto, Torres, Marco A.R., Monte, Ines, Stankovic, Ivan, Neskovic, Aleksander, Cortigiani, Lauro, Re, Federica, Dodi, Claudio, D'Andrea, Antonello, Villari, Bruno, Arystan, Ayana, De Nes, Michele, and Carpeggiani, Clara
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- 2017
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5. B-lines with Lung Ultrasound: The Optimal Scan Technique at Rest and During Stress
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Picano, Eugenio, Ciampi, Quirino, Citro, Rodolfo, D'Andrea, Antonello, Scali, Maria Chiara, Cortigiani, Lauro, Olivotto, Iacopo, Mori, Fabio, Galderisi, Maurizio, Costantino, Marco Fabio, Pratali, Lorenza, di Salvo, Giovanni, Bossone, Eduardo, Ferrara, Francesco, Kasprszak, Jaroslaw D., Rigo, Fausto, Gaibazzi, Nicola, Limongelli, Giuseppe, Pacileo, Giuseppe, Severino, Sergio, Pinamonti, Bruno, Massa, Laura, Torres, Marco A.R., Miglioranza, Marcelo H., Daros, Clarissa Borguezan, Luis de Castro e Silva Pretto, José, Djordjevic-Dikic, Ana, Dekleva, Milica, Varga, Albert, Agoston, Gergely, Palinkas, Attila, Zagatina, Angela, Simova, Iana, Amor, Miguel, Lowenstein, Jorge, Merlo, Pablo, Celutkiene, Jelena, Perez, Julio E., Trambaiolo, Paolo, Gregori, Dario, Colonna, Paolo, Andreassi, Maria Grazia, De Nes, Michele, Arystan, Ayana, Paterni, Marco, Carpeggiani, Clara, Zhuravskaya, Nadezhda, and Marzilli, Mario
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- 2017
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6. Pressure-volume Relationship in the Stress-echocardiography Laboratory: Does (Left Ventricular End-diastolic) Size Matter?
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Bombardini, Tonino, Mulieri, Louis A., Salvadori, Stefano, Costantino, Marco Fabio, Scali, Maria Chiara, Marzilli, Mario, and Picano, Eugenio
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- 2017
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7. Stress echocardiography with smartphone: real-time remote reading for regional wall motion
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Scali, Maria Chiara, de Azevedo Bellagamba, Clarissa Carmona, Ciampi, Quirino, Simova, Iana, de Castro e Silva Pretto, José Luis, Djordjevic-Dikic, Ana, Dodi, Claudio, Cortigiani, Lauro, Zagatina, Angela, Trambaiolo, Paolo, Torres, Marco R., Citro, Rodolfo, Colonna, Paolo, Paterni, Marco, Picano, Eugenio, and on behalf of the Stress Echo 2020 study group of the Italian Society of Cardiovascular Echography
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- 2017
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8. Exercise‐induced B‐lines identify worse functional and prognostic stage in heart failure patients with depressed left ventricular ejection fraction
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Scali, Maria Chiara, Cortigiani, Lauro, Simionuc, Anca, Gregori, Dario, Marzilli, Mario, and Picano, Eugenio
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- 2017
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9. Prognostic value of cardiac power output to left ventricular mass in patients with left ventricular dysfunction and dobutamine stress echo negative by wall motion criteria
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Cortigiani, Lauro, Sorbo, Simone, Miccoli, Mario, Scali, Maria Chiara, Simioniuc, Anca, Morrone, Doralisa, Bovenzi, Francesco, Marzilli, Mario, and Dini, Frank Lloyd
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- 2017
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10. Stress Echo 2030: The Novel ABCDE-(FGLPR) Protocol to Define the Future of Imaging
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Picano, Eugenio, Ciampi, Quirino, Cortigiani, Lauro, Arruda-Olson, Adelaide M., Borguezan-Daros, Clarissa, Silva Pretto, José Luis de Castro, Cocchia, Rosangela, Bossone, Eduardo, Merli, Elisa, Kane, Garvan C., Varga, Albert, Agoston, Gergely, Scali, Maria Chiara, Morrone, Doralisa, Simova, Iana, Samardjieva, Martina, Boschenko, Alla, Ryabova, Tamara, Vrublevsky, Alexander, Palinkas, Attila, Palinkas, Eszter D., Sepp, Robert, Torres, Marco A.R., Villarraga, Hector R., Kovacevic Preradovic, Tamara, Citro, Rodolfo, Amor, Miguel, Mosto, Hugo, Salamè, Michael, Leeson, Paul, Mangia, Cristina, Gaibazzi, Nicola, Tuttolomondo, Domenico, Prota, Constantina, Peteiro-Vázquez, Jesús, Van de Heyning, Caroline M., D'Andrea, Antonello, Rigo, Fausto, Nikolic, Aleksandra, Ostojic, Miodrag, Lowenstein, Jorge, Arbucci, Rosina, Lowenstein Haber, Diego M., Merlo, Pablo M., Wierzbowska-Drabik, Karina, Kasprzak, Jaroslaw D., Haberka, Maciej, Camarozano, Ana Cristina, Ratanasit, Nithima, Mori, Fabio, D'Alfonso, Maria Grazia, Tassetti, Luigi, Milazzo, Alessandra, Olivotto, Iacopo, Marchi, Alberto, Rodríguez-Zanella, Hugo, Zagatina, Angela, Padang, Ratnasari, Dekleva, Milica, Djordievic-Dikic, Ana, Boskovic, Nikola, Tesic, Milorad, Giga, Vojislav, Belesin, Branko, Di Salvo, Giovanni, Lorenzoni, Valentina, Cameli, Matteo, Mandoli, Giulia Elena, Bombardini, Tonino, Caso, Pio, Celutkiene, Jelena, Barbieri, Andrea, Benfari, Giovanni, Bartolacelli, Ylenia, Malagoli, Alessandro, Bursi, Francesca, Mantovani, Francesca, Villari, Bruno, Russo, Antonello, De Nes, Michelle, Carpeggiani, Clara, Monte, Ines, Re, Federica, Cotrim, Carlos, Bilardo, Giuseppe, Saad, Ariel K., Karuzas, Arnas, Matuliauskas, Dovydas, Colonna, Paolo, Antonini-Canterin, Francesco, Pepi, Mauro, Pellikka, Patricia A., Picano, Eugenio, Ciampi, Quirino, Cortigiani, Lauro, Arruda-Olson, Adelaide M., Borguezan-Daros, Clarissa, Silva Pretto, José Luis de Castro, Cocchia, Rosangela, Bossone, Eduardo, Merli, Elisa, Kane, Garvan C., Varga, Albert, Agoston, Gergely, Scali, Maria Chiara, Morrone, Doralisa, Simova, Iana, Samardjieva, Martina, Boschenko, Alla, Ryabova, Tamara, Vrublevsky, Alexander, Palinkas, Attila, Palinkas, Eszter D., Sepp, Robert, Torres, Marco A.R., Villarraga, Hector R., Kovacevic Preradovic, Tamara, Citro, Rodolfo, Amor, Miguel, Mosto, Hugo, Salamè, Michael, Leeson, Paul, Mangia, Cristina, Gaibazzi, Nicola, Tuttolomondo, Domenico, Prota, Constantina, Peteiro-Vázquez, Jesús, Van de Heyning, Caroline M., D'Andrea, Antonello, Rigo, Fausto, Nikolic, Aleksandra, Ostojic, Miodrag, Lowenstein, Jorge, Arbucci, Rosina, Lowenstein Haber, Diego M., Merlo, Pablo M., Wierzbowska-Drabik, Karina, Kasprzak, Jaroslaw D., Haberka, Maciej, Camarozano, Ana Cristina, Ratanasit, Nithima, Mori, Fabio, D'Alfonso, Maria Grazia, Tassetti, Luigi, Milazzo, Alessandra, Olivotto, Iacopo, Marchi, Alberto, Rodríguez-Zanella, Hugo, Zagatina, Angela, Padang, Ratnasari, Dekleva, Milica, Djordievic-Dikic, Ana, Boskovic, Nikola, Tesic, Milorad, Giga, Vojislav, Belesin, Branko, Di Salvo, Giovanni, Lorenzoni, Valentina, Cameli, Matteo, Mandoli, Giulia Elena, Bombardini, Tonino, Caso, Pio, Celutkiene, Jelena, Barbieri, Andrea, Benfari, Giovanni, Bartolacelli, Ylenia, Malagoli, Alessandro, Bursi, Francesca, Mantovani, Francesca, Villari, Bruno, Russo, Antonello, De Nes, Michelle, Carpeggiani, Clara, Monte, Ines, Re, Federica, Cotrim, Carlos, Bilardo, Giuseppe, Saad, Ariel K., Karuzas, Arnas, Matuliauskas, Dovydas, Colonna, Paolo, Antonini-Canterin, Francesco, Pepi, Mauro, and Pellikka, Patricia A.
- Abstract
[Abstract] With stress echo (SE) 2020 study, a new standard of practice in stress imaging was developed and disseminated: the ABCDE protocol for functional testing within and beyond CAD. ABCDE protocol was the fruit of SE 2020, and is the seed of SE 2030, which is articulated in 12 projects: 1-SE in coronary artery disease (SECAD); 2-SE in diastolic heart failure (SEDIA); 3-SE in hypertrophic cardiomyopathy (SEHCA); 4-SE post-chest radiotherapy and chemotherapy (SERA); 5-Artificial intelligence SE evaluation (AI-SEE); 6-Environmental stress echocardiography and air pollution (ESTER); 7-SE in repaired Tetralogy of Fallot (SETOF); 8-SE in post-COVID-19 (SECOV); 9: Recovery by stress echo of conventionally unfit donor good hearts (RESURGE); 10-SE for mitral ischemic regurgitation (SEMIR); 11-SE in valvular heart disease (SEVA); 12-SE for coronary vasospasm (SESPASM). The study aims to recruit in the next 5 years (2021-2025) ≥10,000 patients followed for ≥5 years (up to 2030) from ≥20 quality-controlled laboratories from ≥10 countries. In this COVID-19 era of sustainable health care delivery, SE2030 will provide the evidence to finally recommend SE as the optimal and versatile imaging modality for functional testing anywhere, any time, and in any patient.
- Published
- 2021
11. Stress echo in Italy
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Ciampi, Quirino, Citro, Rodolfo, Severino, Sergio, Labanti, Graziana, Cortigiani, Lauro, Sicari, Rosa, Gaibazzi, Nicola, Galderisi, Maurizio, Bossone, Eduardo, Colonna, Paolo, Picano, Eugenio, D'Andrea, Antonello, Scali, Maria Chiara, Olivotto, Iacopo, Mori, Fabio, Costantino, Marco Fabio, Pratali, Lorenza, Di Salvo, Giovanni, Ferrara, Francesco, Gargani, Luna, Rigo, Fausto, Limongelli, Giuseppe, Pacileo, Giuseppe, Andreassi, Maria Grazia, Pinamonti, Bruno, Massa, Laura, Torres, Marco A. R., Miglioranza, Marcelo H., Daros, Clarissa Borguezan, De Castro E Silva Pretto, José Luis, Beleslin, Branko, Djordjevic-DIkic, Ana, Varga, Albert, Palinkas, Attila, Agoston, Gergely, Gregori, Dario, Trambaiolo, Paolo, Arystan, Ayana, Paterni, Marco, Carpeggiani, Clara, Ciampi, Quirino, Citro, Rodolfo, Severino, Sergio, Labanti, Graziana, Cortigiani, Lauro, Sicari, Rosa, Gaibazzi, Nicola, Galderisi, Maurizio, Bossone, Eduardo, Colonna, Paolo, Picano, Eugenio, D'Andrea, Antonello, Scali, Maria Chiara, Olivotto, Iacopo, Mori, Fabio, Costantino, Marco Fabio, Pratali, Lorenza, Di Salvo, Giovanni, Ferrara, Francesco, Gargani, Luna, Rigo, Fausto, Limongelli, Giuseppe, Pacileo, Giuseppe, Andreassi, Maria Grazia, Pinamonti, Bruno, Massa, Laura, Torres, Marco A. R., Miglioranza, Marcelo H., Daros, Clarissa Borguezan, De Castro E Silva Pretto, José Lui, Beleslin, Branko, Djordjevic-DIkic, Ana, Varga, Albert, Palinkas, Attila, Agoston, Gergely, Gregori, Dario, Trambaiolo, Paolo, Arystan, Ayana, Paterni, Marco, and Carpeggiani, Clara
- Subjects
medicine.medical_specialty ,business.industry ,Myocardial Ischemia ,MEDLINE ,General Medicine ,030204 cardiovascular system & hematology ,Stress ,Echocardiography, Stress ,Humans ,Italy ,Practice Guidelines as Topic ,Societies, Medical ,Cardiology and Cardiovascular Medicine ,03 medical and health sciences ,0302 clinical medicine ,Physical medicine and rehabilitation ,Echocardiography ,Stress Echo ,Medical ,Medicine ,030212 general & internal medicine ,State (computer science) ,Societies ,business - Published
- 2017
12. Lung Ultrasound and Pulmonary Congestion During Stress Echocardiography
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Scali, Maria Chiara, primary, Zagatina, Angela, additional, Ciampi, Quirino, additional, Cortigiani, Lauro, additional, D'Andrea, Antonello, additional, Daros, Clarissa Borguezan, additional, Zhuravskaya, Nadezhda, additional, Kasprzak, Jaroslaw D., additional, Wierzbowska-Drabik, Karina, additional, Luis de Castro e Silva Pretto, José, additional, Djordjevic-Dikic, Ana, additional, Beleslin, Branko, additional, Petrovic, Marija, additional, Boskovic, Nikola, additional, Tesic, Milorad, additional, Monte, Ines, additional, Simova, Iana, additional, Vladova, Martina, additional, Boshchenko, Alla, additional, Vrublevsky, Alexander, additional, Citro, Rodolfo, additional, Amor, Miguel, additional, Vargas Mieles, Paul E., additional, Arbucci, Rosina, additional, Merlo, Pablo Martin, additional, Lowenstein Haber, Diego M., additional, Dodi, Claudio, additional, Rigo, Fausto, additional, Gligorova, Suzana, additional, Dekleva, Milica, additional, Severino, Sergio, additional, Lattanzi, Fabio, additional, Morrone, Doralisa, additional, Galderisi, Maurizio, additional, Torres, Marco A.R., additional, Salustri, Alessandro, additional, Rodrìguez-Zanella, Hugo, additional, Costantino, Fabio Marco, additional, Varga, Albert, additional, Agoston, Gergely, additional, Bossone, Eduardo, additional, Ferrara, Francesco, additional, Gaibazzi, Nicola, additional, Celutkiene, Jelena, additional, Haberka, Maciej, additional, Mori, Fabio, additional, D'Alfonso, Maria Grazia, additional, Reisenhofer, Barbara, additional, Camarozano, Ana Cristina, additional, Miglioranza, Marcelo Haertel, additional, Szymczyk, Ewa, additional, Wejner-Mik, Paulina, additional, Wdowiak-Okrojek, Katarzyna, additional, Preradovic-Kovacevic, Tamara, additional, Bombardini, Tonino, additional, Ostojic, Miodrag, additional, Nikolic, Aleksandra, additional, Re, Federica, additional, Barbieri, Andrea, additional, Di Salvo, Giovanni, additional, Merli, Elisa, additional, Colonna, Paolo, additional, Lorenzoni, Valentina, additional, De Nes, Michele, additional, Paterni, Marco, additional, Carpeggiani, Clara, additional, Lowenstein, Jorge, additional, and Picano, Eugenio, additional
- Published
- 2020
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13. Myocardial ischemia: From disease to syndrome
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Marzilli, Mario, primary, Crea, Filippo, additional, Morrone, Doralisa, additional, Bonow, Robert O., additional, Brown, David L., additional, Camici, Paolo G., additional, Chilian, William M., additional, DeMaria, Anthony, additional, Guarini, Giacinta, additional, Huqi, Alda, additional, Merz, C. Noel Bairey, additional, Pepine, Carl, additional, Scali, Maria Chiara, additional, Weintraub, William S., additional, and Boden, William E., additional
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- 2020
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14. B-lines with Lung Ultrasound: The Optimal Scan Technique at Rest and During Stress
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Scali, Maria Chiara, primary, Zagatina, Angela, additional, Simova, Iana, additional, Zhuravskaya, Nadezhda, additional, Ciampi, Quirino, additional, Paterni, Marco, additional, Marzilli, Mario, additional, Carpeggiani, Clara, additional, Picano, Eugenio, additional, Citro, Rodolfo, additional, D'Andrea, Antonello, additional, Scali, Maria Chiara, additional, Cortigiani, Lauro, additional, Olivotto, Iacopo, additional, Mori, Fabio, additional, Galderisi, Maurizio, additional, Costantino, Marco Fabio, additional, Pratali, Lorenza, additional, di Salvo, Giovanni, additional, Bossone, Eduardo, additional, Ferrara, Francesco, additional, Kasprszak, Jaroslaw D., additional, Rigo, Fausto, additional, Gaibazzi, Nicola, additional, Limongelli, Giuseppe, additional, Pacileo, Giuseppe, additional, Severino, Sergio, additional, Pinamonti, Bruno, additional, Massa, Laura, additional, Torres, Marco A.R., additional, Miglioranza, Marcelo H., additional, Daros, Clarissa Borguezan, additional, Luis de Castro e Silva Pretto, José, additional, Djordjevic-Dikic, Ana, additional, Dekleva, Milica, additional, Varga, Albert, additional, Agoston, Gergely, additional, Palinkas, Attila, additional, Amor, Miguel, additional, Lowenstein, Jorge, additional, Merlo, Pablo, additional, Celutkiene, Jelena, additional, Perez, Julio E., additional, Trambaiolo, Paolo, additional, Gregori, Dario, additional, Colonna, Paolo, additional, Andreassi, Maria Grazia, additional, De Nes, Michele, additional, and Arystan, Ayana, additional
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- 2017
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15. The Functional Meaning of B-Profile During Stress Lung Ultrasound
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Scali, Maria Chiara, primary, Zagatina, Angela, additional, Ciampi, Quirino, additional, Cortigiani, Lauro, additional, D'Andrea, Antonello, additional, Djordjevic-Dikic, Ana, additional, Merlo, Pablo Martin, additional, Lattanzi, Fabio, additional, Simova, Iana, additional, Monte, Ines, additional, Dodi, Claudio, additional, Kasprzak, Jaroslaw D., additional, Galderisi, Maurizio, additional, Boshchenko, Alla, additional, Rigo, Fausto, additional, Varga, Albert, additional, Dekleva, Milica, additional, Re, Federica, additional, de Castro e Silva Pretto, José Luis, additional, Zhuravaskaya, Nadezhda, additional, Wierzbowska-Drabik, Karina, additional, Coviello, Katia, additional, Citro, Rodolfo, additional, Colonna, Paolo, additional, Carpeggiani, Clara, additional, and Picano, Eugenio, additional
- Published
- 2019
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16. Lung Ultrasound for the Cardiologist
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Picano, Eugenio, primary, Scali, Maria Chiara, additional, Ciampi, Quirino, additional, and Lichtenstein, Daniel, additional
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- 2018
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17. Predicting Heart Failure patient events by exploiting saliva and breath biomarkers information
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Tripoliti, Evanthia Eleftherios, Karanasiou, Georgia Spiridon, Kalatzis, Fanis Georgios, Fotiadis, Dimitrios Ioannis, Ghimenti, Silvia, Lomonaco, Tommaso, Bellagambi, Francesca, Fuoco, Roger, Naka, Katerina Kyriakos, Bechlioulis, Aris, Scali, Maria Chiara, Errachid, Abdelhamid, Department of Biomedical Research, University of Ioannina, Department of Chemistry and Industrial Chemistry - University of Pisa, Dept Cardiol, Azienda Osped Univ Pisana - Cardiothorac & Vasc Dept, University of Pisa - Università di Pisa, Micro & Nanobiotechnologies, Institut des Sciences Analytiques (ISA), Institut de Chimie du CNRS (INC)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), This work is supported by the HEARTEN project that has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 643694., IEEE, IEEE Comp Soc, Biol & Artificial Intelligence Soc, European Project: 643694,H2020,H2020-PHC-2014-single-stage,HEARTEN(2015), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Université de Lyon-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)
- Subjects
event prediction ,[SDV.BIO]Life Sciences [q-bio]/Biotechnology ,breath biomarkers ,heart failure ,[CHIM]Chemical Sciences ,data mining ,[SDV.IB.BIO]Life Sciences [q-bio]/Bioengineering/Biomaterials ,saliva biomarkers - Abstract
International audience; The aim of this work is to present a machine learning based method for the prediction of adverse events (mortality and relapses) in patients with heart failure (HF) by exploiting, for the first time, measurements of breath and saliva biomarkers (Tumor Necrosis Factor Alpha, Cortisol and Acetone). Data from 27 patients are used in the study and the prediction of adverse events is achieved with high accuracy (77%) using the Rotation Forest algorithm. As in the near future, biomarkers can be measured at home, together with other physiological data, the accurate prediction of adverse events on the basis of home based measurements can revolutionize HF management.
- Published
- 2017
18. Stress echo 2020 : the international stress echo study in ischemic and non-ischemic heart disease
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Picano, Eugenio, Ciampi, Quirino, Citro, Rodolfo, D'Andrea, Antonello, Scali, Maria Chiara, Cortigiani, Lauro, Olivotto, Iacopo, Mori, Fabio, Galderisi, Maurizio, Costantino, Marco Fabio, Pratali, Lorenza, Salvo, Giovanni di, Bossone, Eduardo, Ferrara, Francesco, Gargani, Luna, Rigo, Fausto, Gaibazzi, Nicola, Limongelli, Giuseppe, Pacileo, Giuseppe, Andreassi, Maria Grazia, Pinamonti, Bruno, Massa, Laura, Torres, Marco Antonio Rodrigues, Miglioranza, Marcelo H., Daros, Clarissa Borguezan, Pretto, José Luis de Castro e Silva, Beleslin, Branko, Djordjevic-Dikic, Ana, Varga, Albert, Palinkas, Attila, Agoston, Gergely, Gregori, Dario, Trambaiolo, Paolo, Severino, Sergio, Arystan, Ayana, Paterni, Marco, Carpeggiani, Clara, and Colonna, Paolo
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Ecocardiografia sob estresse ,Stress echocardiography ,Prognóstico ,Efetividade ,Diagnóstico por imagem ,Effectiveness ,Prognosis ,Imaging - Abstract
Background: Stress echocardiography (SE) has an established role in evidence-based guidelines, but recently its breadth and variety of applications have extended well beyond coronary artery disease (CAD). We lack a prospective research study of SE applications, in and beyond CAD, also considering a variety of signs in addition to regional wall motion abnormalities. Methods: In a prospective, multicenter, international, observational study design, > 100 certified high-volume SE labs (initially from Italy, Brazil, Hungary, and Serbia) will be networked with an organized system of clinical, laboratory and imaging data collection at the time of physical or pharmacological SE, with structured follow-up information. The study is endorsed by the Italian Society of Cardiovascular Echography and organized in 10 subprojects focusing on: contractile reserve for prediction of cardiac resynchronization or medical therapy response; stress B-lines in heart failure; hypertrophic cardiomyopathy; heart failure with preserved ejection fraction; mitral regurgitation after either transcatheter or surgical aortic valve replacement; outdoor SE in extreme physiology; right ventricular contractile reserve in repaired Tetralogy of Fallot; suspected or initial pulmonary arterial hypertension; coronary flow velocity, left ventricular elastance reserve and B-lines in known or suspected CAD; identification of subclinical familial disease in genotype-positive, phenotype- negative healthy relatives of inherited disease (such as hypertrophic cardiomyopathy). Results: We expect to recruit about 10,000 patients over a 5-year period (2016-2020), with sample sizes ranging from 5,000 for coronary flow velocity/ left ventricular elastance/ B-lines in CAD to around 250 for hypertrophic cardiomyopathy or repaired Tetralogy of Fallot. This data-base will allow to investigate technical questions such as feasibility and reproducibility of various SE parameters and to assess their prognostic value in different clinical scenarios. Conclusions: The study will create the cultural, informatic and scientific infrastructure connecting high-volume, accredited SE labs, sharing common criteria of indication, execution, reporting and image storage of SE to obtain original safety, feasibility, and outcome data in evidence-poor diagnostic fields, also outside the established core application of SE in CAD based on regional wall motion abnormalities. The study will standardize procedures, validate emerging signs, and integrate the new information with established knowledge, helping to build a next-generation SE lab without inner walls.
- Published
- 2017
19. Stress Echocardiography, Carotid Arteries, and More
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Picano, Eugenio, primary and Scali, Maria Chiara, additional
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- 2018
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20. Controversies in fractional flow reserve
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Scali, Maria Chiara, Morrone, Doralisa, and Marzilli, Mario
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Diagnostic tool ,Fractional flow reserve ,COURAGE trial ,Cardiology and Cardiovascular Medicine - Published
- 2016
21. Predicting Heart Failure Patient Events by Exploiting Saliva and Breath Biomarkers Information
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Tripoliti, Evanthia, primary, Karanasiou, Georgia S., additional, Kalatzis, Fanis G., additional, Goletsis, Yorgos, additional, Bechlioulis, Aris, additional, Ghimenti, Silvia, additional, Lomonaco, Tommaso, additional, Bellagambi, Francesca, additional, Fuoco, Roger, additional, Marzilli, Mario, additional, Scali, Maria Chiara, additional, Naka, Katerina K., additional, Errachid, Abdelhamid, additional, and Fotiadis, Dimitrios I., additional
- Published
- 2017
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22. A computational approach for the estimation of heart failure patients status using saliva biomarkers
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Tripoliti, Evanthia E., primary, Papadopoulos, Theofilos G., additional, Karanasiou, Georgia S., additional, Kalatzis, Fanis G., additional, Goletsis, Yorgos, additional, Bechlioulis, Aris, additional, Ghimenti, Silvia, additional, Lomonaco, Tommaso, additional, Bellagambi, Francesca, additional, Trivella, Maria Giovanna, additional, Fuoco, Roger, additional, Marzilli, Mario, additional, Scali, Maria Chiara, additional, Naka, Katerina K., additional, Errachid, Abdelhamid, additional, and Fotiadis, Dimitrios I., additional
- Published
- 2017
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23. Estimation of Heart Failure Patients Medication Adherence through the Utilization of Saliva and Breath Biomarkers and Data Mining Techniques
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Tripoliti, Evanthia E., primary, Papadopoulos, Theofilos G., additional, Karanasiou, Georgia S., additional, Kalatzis, Fanis G., additional, Goletsis, Yorgos, additional, Bechlioulis, Aris, additional, Ghimenti, Silvia, additional, Lomonaco, Tommaso, additional, Bellagambi, Francesca, additional, Fuoco, Roger, additional, Marzilli, Mario, additional, Scali, Maria Chiara, additional, Naka, Katerina K., additional, Errachid, Abdelhamid, additional, and Fotiadis, Dimitrios I., additional
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- 2017
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24. Relación presión/volumen en el laboratorio de ecocardiografía de estrés. ¿Cómo influye el tamaño del ventrículo izquierdo (dimensión diastólica del ventrículo izquierdo)?
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Bombardini, Tonino, primary, Mulieri, Louis A., additional, Salvadori, Stefano, additional, Costantino, Marco Fabio, additional, Scali, Maria Chiara, additional, Marzilli, Mario, additional, and Picano, Eugenio, additional
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- 2017
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25. Stress echo 2020: the international stress echo study in ischemic and non-ischemic heart disease
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Picano, Eugenio, primary, Ciampi, Quirino, additional, Citro, Rodolfo, additional, D’Andrea, Antonello, additional, Scali, Maria Chiara, additional, Cortigiani, Lauro, additional, Olivotto, Iacopo, additional, Mori, Fabio, additional, Galderisi, Maurizio, additional, Costantino, Marco Fabio, additional, Pratali, Lorenza, additional, Di Salvo, Giovanni, additional, Bossone, Eduardo, additional, Ferrara, Francesco, additional, Gargani, Luna, additional, Rigo, Fausto, additional, Gaibazzi, Nicola, additional, Limongelli, Giuseppe, additional, Pacileo, Giuseppe, additional, Andreassi, Maria Grazia, additional, Pinamonti, Bruno, additional, Massa, Laura, additional, Torres, Marco A. R., additional, Miglioranza, Marcelo H., additional, Daros, Clarissa Borguezan, additional, de Castro e Silva Pretto, José Luis, additional, Beleslin, Branko, additional, Djordjevic-Dikic, Ana, additional, Varga, Albert, additional, Palinkas, Attila, additional, Agoston, Gergely, additional, Gregori, Dario, additional, Trambaiolo, Paolo, additional, Severino, Sergio, additional, Arystan, Ayana, additional, Paterni, Marco, additional, Carpeggiani, Clara, additional, and Colonna, Paolo, additional
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- 2017
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26. Prognostic value of echo-derived peak cardiac power output-to-left ventricular mass compared to cardiopulmonary exercise testing in patients with chronic stable systolic heart failure
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Dini, Fl, Mandoli, Ge, Guarini, Giacinta, Scali, MARIA CHIARA, Huqi, Alda, Massaro, F, Malagrino', Laura, Vagaggini, B, DI BELLO, Vitantonio, and Marzilli, Mario
- Subjects
Prognostic value of echo-derived peak cardiac power output-to-left ventricular mass compared to cardiopulmonary exercise testing in patients with chronic stable systolic heart failure - Published
- 2014
27. Ultrasound assessment of left ventricular force-frequency relationship to risk stratify patients with advanced chronic systolic heart failure
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Dini, Fl, Guarini, Giacinta, Scali, MARIA CHIARA, Huqi, Alda, Morrone, Doralisa, Mandoli, Ge, Massaro, F, DI BELLO, Vitantonio, and Marzilli, Mario
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Ultrasound assessment of left ventricular force-frequency relationship to risk stratify patients with advanced chronic systolic heart failure - Published
- 2014
28. Prognostic value of cardiac power output to left ventricular mass in patients with left ventricular dysfunction and dobutamine stress echo negative by wall motion criteria
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Cortigiani, Lauro, primary, Sorbo, Simone, additional, Miccoli, Mario, additional, Scali, Maria Chiara, additional, Simioniuc, Anca, additional, Morrone, Doralisa, additional, Bovenzi, Francesco, additional, Marzilli, Mario, additional, and Dini, Frank Lloyd, additional
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- 2016
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29. The potential value of integrated natriuretic peptide and echo-guided heart failure management
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Scali, Maria Chiara, primary, Simioniuc, Anca, additional, Dini, Frank Lloyd, additional, and Marzilli, Mario, additional
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- 2014
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30. Real Time 3D echocardiography (RT3D) for assessment of ventricular and vascular function in hypertensive and heart failure patients
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Scali, Maria Chiara, primary, Basso, Massimiliano, additional, Gandolfo, Alfredo, additional, Bombardini, Tonino, additional, Bellotti, Paolo, additional, and Sicari, Rosa, additional
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- 2012
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31. Abstract 4726: How Reliable is Left Atrial Volume in Estimating Left Atrial Pressure in Advanced Heart Failure Patients? Three-Dimensional Echocardiographic and Catheterization Studies
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Evangelista, Antonietta, primary, Mukherjee, Jayanta, additional, Ordway, Linda, additional, Scali, Maria Chiara, additional, Caselli, Stefano, additional, Torromeo, Concetta, additional, Gaudio, Carlo, additional, DeCastro, Stefano, additional, DeNofrio, David, additional, Nesser, H. Joachim, additional, Kuvin, Jeffrey T, additional, Patel, Ayan R, additional, and Pandian, Natesa G, additional
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- 2008
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32. Quality control of B-lines analysis in stress Echo 2020.
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Scali, Maria Chiara, Ciampi, Quirino, Picano, Eugenio, Bossone, Eduardo, Ferrara, Francesco, Citro, Rodolfo, Colonna, Paolo, Costantino, Marco Fabio, Cortigiani, Lauro, Andrea, Antonello D'., Severino, Sergio, Dodi, Claudio, Gaibazzi, Nicola, Galderisi, Maurizio, Barbieri, Andrea, Monte, Ines, Mori, Fabio, Reisenhofer, Barbara, Re, Federica, and Rigo, Fausto
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- *
CORONARY disease , *STRESS echocardiography , *HYPERTROPHIC cardiomyopathy , *HEART failure , *CONGENITAL heart disease - Abstract
Background: The effectiveness trial "Stress echo (SE) 2020" evaluates novel applications of SE in and beyond coronary artery disease. The core protocol also includes 4-site simplified scan of B-lines by lung ultrasound, useful to assess pulmonary congestion.Purpose: To provide web-based upstream quality control and harmonization of B-lines reading criteria.Methods: 60 readers (all previously accredited for regional wall motion, 53 B-lines naive) from 52 centers of 16 countries of SE 2020 network read a set of 20 lung ultrasound video-clips selected by the Pisa lab serving as reference standard, after taking an obligatory web-based learning 2-h module ( http://se2020.altervista.org ). Each test clip was scored for B-lines from 0 (black lung, A-lines, no B-lines) to 10 (white lung, coalescing B-lines). The diagnostic gold standard was the concordant assessment of two experienced readers of the Pisa lab. The answer of the reader was considered correct if concordant with reference standard reading ±1 (for instance, reference standard reading of 5 B-lines; correct answer 4, 5, or 6). The a priori determined pass threshold was 18/20 (≥ 90%) with R value (intra-class correlation coefficient) between reference standard and recruiting center) > 0.90. Inter-observer agreement was assessed with intra-class correlation coefficient statistics.Results: All 60 readers were successfully accredited: 26 (43%) on first, 24 (40%) on second, and 10 (17%) on third attempt. The average diagnostic accuracy of the 60 accredited readers was 95%, with R value of 0.95 compared to reference standard reading. The 53 B-lines naive scored similarly to the 7 B-lines expert on first attempt (90 versus 95%, p = NS). Compared to the step-1 of quality control for regional wall motion abnormalities, the mean reading time per attempt was shorter (17 ± 3 vs 29 ± 12 min, p < .01), the first attempt success rate was higher (43 vs 28%, p < 0.01), and the drop-out of readers smaller (0 vs 28%, p < .01).Conclusions: Web-based learning is highly effective for teaching and harmonizing B-lines reading. Echocardiographers without previous experience with B-lines learn quickly. [ABSTRACT FROM AUTHOR]- Published
- 2018
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33. B-lines with Lung Ultrasound: The Optimal Scan Technique at Rest and During Stress
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Maria Chiara Scali, Angela Zagatina, Iana Simova, Nadezhda Zhuravskaya, Quirino Ciampi, Marco Paterni, Mario Marzilli, Clara Carpeggiani, Eugenio Picano, Rodolfo Citro, Antonello D'Andrea, Lauro Cortigiani, Iacopo Olivotto, Fabio Mori, Maurizio Galderisi, Marco Fabio Costantino, Lorenza Pratali, Giovanni di Salvo, Eduardo Bossone, Francesco Ferrara, Jaroslaw D. Kasprszak, Fausto Rigo, Nicola Gaibazzi, Giuseppe Limongelli, Giuseppe Pacileo, Sergio Severino, Bruno Pinamonti, Laura Massa, Marco A.R. Torres, Marcelo H. Miglioranza, Clarissa Borguezan Daros, José Luis de Castro e Silva Pretto, Ana Djordjevic-Dikic, Milica Dekleva, Albert Varga, Gergely Agoston, Attila Palinkas, Miguel Amor, Jorge Lowenstein, Pablo Merlo, Jelena Celutkiene, Julio E. Perez, Paolo Trambaiolo, Dario Gregori, Paolo Colonna, Maria Grazia Andreassi, Michele De Nes, Ayana Arystan, Scali, Maria Chiara, Zagatina, Angela, Simova, Iana, Zhuravskaya, Nadezhda, Ciampi, Quirino, Paterni, Marco, Marzilli, Mario, Carpeggiani, Clara, Picano, Eugenio, Citro, Rodolfo, D'Andrea, Antonello, Cortigiani, Lauro, Olivotto, Iacopo, Mori, Fabio, Galderisi, Maurizio, Costantino, Marco Fabio, Pratali, Lorenza, di Salvo, Giovanni, Bossone, Eduardo, Ferrara, Francesco, Kasprszak, Jaroslaw D., Rigo, Fausto, Gaibazzi, Nicola, Limongelli, Giuseppe, Pacileo, Giuseppe, Severino, Sergio, Pinamonti, Bruno, Massa, Laura, Torres, Marco A. R., Miglioranza, Marcelo H., Daros, Clarissa Borguezan, Luis de Castro e Silva Pretto, José, Djordjevic-Dikic, Ana, Dekleva, Milica, Varga, Albert, Agoston, Gergely, Palinkas, Attila, Amor, Miguel, Lowenstein, Jorge, Merlo, Pablo, Celutkiene, Jelena, Perez, Julio E., Trambaiolo, Paolo, Gregori, Dario, Colonna, Paolo, Andreassi, Maria Grazia, De Nes, Michele, and Arystan, Ayana
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Male ,medicine.medical_specialty ,Acoustics and Ultrasonics ,Stre ,Rest ,Physiological ,Biophysics ,030204 cardiovascular system & hematology ,Stress ,Coronary artery disease ,03 medical and health sciences ,0302 clinical medicine ,Stress, Physiological ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Prospective Studies ,030212 general & internal medicine ,Exercise ,Lung ,Rest (music) ,Ultrasonography ,Water ,Extravascular Lung Water ,Female ,Middle Aged ,Exercise Test ,Radiological and Ultrasound Technology ,business.industry ,Ultrasound ,Exercise stress ,medicine.disease ,Lung ultrasound ,Surgery ,medicine.anatomical_structure ,Lung water ,Biophysic ,Parasternal line ,business ,Nuclear medicine - Abstract
Various lung ultrasound (LUS) scanning modalities have been proposed for the detection of B-lines, also referred to as ultrasound lung comets , which are an important indication of extravascular lung water at rest and after exercise stress echo (ESE). The aim of our study was to assess the lung water spatial distribution ( comet map ) at rest and after ESE. We performed LUS at rest and immediately after semi-supine ESE in 135 patients (45 women, 90 men; age 62 ± 12 y, resting left ventricular ejection fraction = 41 ± 13%) with known or suspected heart failure or coronary artery disease. B-lines were measured by scanning 28 intercostal spaces (ISs) on the antero-lateral chest, 2nd–5th IS, along with the midaxillary (MA), anterior axillary (AA), mid-clavicular (MC) and parasternal (PS) lines. Complete 28-region, 16-region (3rd and 4th IS), 8-region (3rd IS), 4-region (3rd IS, only AA and MA) and 1-region (left 3rd IS, MA) scans were analyzed. In each space, the B-lines were counted from 0 = black lung to 10 = white lung. Interpretable images were obtained in all spaces (feasibility = 100 %). B-lines (>0 in at least 1 space) were present at ESE in 93 patients (69%) and absent in 42. More B-lines were found in the 3rd IS and along AA and MA lines. The B-line cumulative distribution was symmetric at rest (right/left = 1.10) and asymmetric with left lung predominance during stress (right/left = 0.67). The correlation of per-patient B-line number between 28-S and 16-S (R 2 = 0.9478), 8-S (R 2 = 0.9478) and 4-S scan (R 2 = 0.9146) was excellent, but only good with 1-S (R 2 = 0.8101). The average imaging and online analysis time were 5 s per space. In conclusion, during ESE, the comet map of lung water accumulation follows a predictable spatial pattern with wet spots preferentially aligned with the third IS and along the AA and MA lines. The time-saving 4-region scan is especially convenient during stress, simply dismissing dry regions and focusing on wet regions alone.
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- 2017
34. The Functional Meaning of B-Profile During Stress Lung Ultrasound
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Angela Zagatina, Antonello D'Andrea, Milica Dekleva, Fabio Lattanzi, Paolo Colonna, Maurizio Galderisi, Ana Djordjevic-Dikic, Nadezhda Zhuravaskaya, Federica Re, Alla A. Boshchenko, Quirino Ciampi, Ines Monte, Katia Coviello, Maria Chiara Scali, Pablo Merlo, Eugenio Picano, Albert Varga, Rodolfo Citro, Clara Carpeggiani, Iana Simova, Claudio Dodi, Lauro Cortigiani, Fausto Rigo, José Luis de Castro e Silva Pretto, Jarosław D. Kasprzak, Karina Wierzbowska-Drabik, Scali, Maria Chiara, Zagatina, Angela, Ciampi, Quirino, Cortigiani, Lauro, D'Andrea, Antonello, Djordjevic-Dikic, Ana, Merlo, Pablo Martin, Lattanzi, Fabio, Simova, Iana, Monte, Ine, Dodi, Claudio, Kasprzak, Jaroslaw D, Galderisi, Maurizio, Boshchenko, Alla, Rigo, Fausto, Varga, Albert, Dekleva, Milica, Re, Federica, de Castro E Silva Pretto, José Lui, Zhuravaskaya, Nadezhda, Wierzbowska-Drabik, Karina, Coviello, Katia, Citro, Rodolfo, Colonna, Paolo, Carpeggiani, Clara, and Picano, Eugenio
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Male ,medicine.medical_specialty ,Vasodilator Agents ,Myocardial Ischemia ,Pulmonary Edema ,030204 cardiovascular system & hematology ,stress echo ,030218 nuclear medicine & medical imaging ,Coronary artery disease ,B-lines ,03 medical and health sciences ,0302 clinical medicine ,Predictive Value of Tests ,Internal medicine ,Medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Prospective Studies ,Prospective cohort study ,Lung ,Aged ,business.industry ,Ultrasound ,Middle Aged ,medicine.disease ,Lung ultrasound ,Normal lung ,Heart failure ,Cardiology ,Exercise Test ,Female ,Pulmonary congestion ,Exercise stress echocardiography ,B-lines, stress echo ,Cardiology and Cardiovascular Medicine ,business ,Echocardiography, Stress - Abstract
The B-Profile of normal lung sliding with B-lines by lung ultrasound (LUS) identifies pulmonary congestion at rest and during exercise stress echocardiography (SE) in coronary artery disease (CAD) [(1)][1] or heart failure (HF) patients with either reduced [(2)][2] or preserved [(3)][3] resting
- Published
- 2018
35. Quality control of regional wall motion analysis in stress Echo 2020
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Ivan Stankovic, Bruno Villari, Jorge Lowenstein, Antonello D'Andrea, Angela Zagatina, Marco Fabio Costantino, Sergio Severino, Fausto Rigo, Maria Chiara Scali, Ayana Arystan, Marco Paterni, Clara Carpeggiani, Iana Simova, Jelena Celutkiene, Maurizio Galderisi, Albert Varga, Rodolfo Citro, Marco Antonio Rodrigues Torres, Lauro Cortigiani, Nicola Gaibazzi, Paolo Colonna, Jarosław D. Kasprzak, Eugenio Picano, Ana Djordjevic-Dikic, Giovanni Di Salvo, Daniel Quesada Chaves, Ines Monte, Quirino Ciampi, Pablo Merlo, Fabio Mori, Clarissa Borguezan Daros, Federica Re, Paolo Trambaiolo, Julio E. Pérez, Claudio Dodi, Michele De Nes, Milica Dekleva, Aleksander Neskovic, Laura Massa, Miguel Amor, José Luis de Castro e Silva Pretto, Ciampi, Quirino, Picano, Eugenio, Paterni, Marco, Daros, Clarissa Borguezan, Simova, Iana, Josã© Luis, De Castro E. Silva Pretto, Scali, Maria Chiara, Gaibazzi, Nicola, Severino, Sergio, Djordjevic dikic, Ana, Kasprzak, Jaroslaw D., Zagatina, Angela, Varga, Albert, Lowenstein, Jorge, Merlo, Pablo Martin, Amor, Miguel, Celutkiene, Jelena, Perez, Julio E., DI SALVO, Giovanni, Galderisi, Maurizio, Mori, Fabio, Costantino, Marco Fabio, Massa, Laura, Dekleva, Milica, Chaves, Daniel Quesada, Trambaiolo, Paolo, Citro, Rodolfo, Colonna, Paolo, Rigo, Fausto, Torres, Marco A. R., Monte, Ine, Stankovic, Ivan, Neskovic, Aleksander, Cortigiani, Lauro, Re, Federica, Dodi, Claudio, D'Andrea, Antonello, Villari, Bruno, Arystan, Ayana, De Nes, Michele, Carpeggiani, Clara, de Castro e Silva Pretto, José Lui, Djordjevic-Dikic, Ana, and Di Salvo, Giovanni
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Quality Control ,medicine.medical_specialty ,Certification ,Internationality ,media_common.quotation_subject ,Control (management) ,Coronary Disease ,Quality control ,Stress echocardiography ,Wall motion ,Cardiologists ,Clinical Competence ,Echocardiography, Stress ,Humans ,Reproducibility of Results ,Audit ,030204 cardiovascular system & hematology ,Stress ,Credentialing ,Session (web analytics) ,03 medical and health sciences ,0302 clinical medicine ,Reading (process) ,medicine ,Quality (business) ,Medical physics ,030212 general & internal medicine ,Set (psychology) ,media_common ,business.industry ,Cardiology and Cardiovascular Medicine ,Gold standard ,Echocardiography ,Radiology ,business - Abstract
Background: The trial "Stress Echo (SE) 2020" evaluates novel applications of SE beyond coronary artery disease. The aim of the study was control quality and harmonize reading criteria.Methods: One reader from 78 centers of the SE 2020 network asked for credentials to read a set of 20 SE videoclips selected by the core lab. All aspiring centers met the pre-requisite of high-volume and the years of experience in SE ranged from 5 to 31 years (mean value 18 years). The diagnostic gold standard was a reading by the core lab. The a priori determined pass threshold was 18/20 (>= 90%).Results: Of the initial 78 who started, 57 completed the first attempt: individual readers' score on first attempt ranged from 07/20 to 20/20 (accuracy from 35% to 100%, mean 78.7 +/- 13%) and 44 readers passed it. There was a very poor correlation between years of experience and the reader's score on first attempt (r = -0.161, p = 0.231). Of the 13 readers who failed the first attempt, 12 took it again after the web-based session and their accuracy improved (74% vs. 96%, p < 0.001). The kappa inter-observer agreement before and after web-based training was 0.59 on first attempt and rose to 0.91 on the last attempt.Conclusions: In SE reading, the volume of activity or years of experience is not synonymous with diagnostic quality. Qualitative analysis and operator-dependence can become a limiting weakness in clinical practice, in the absence of strict pathways of learning, credentialing and audit. (C) 2017 Elsevier B.V. All rights reserved.
- Published
- 2017
36. Stress Echo 2030: The Novel ABCDE-(FGLPR) Protocol to Define the Future of Imaging.
- Author
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Picano E, Ciampi Q, Cortigiani L, Arruda-Olson AM, Borguezan-Daros C, de Castro E Silva Pretto JL, Cocchia R, Bossone E, Merli E, Kane GC, Varga A, Agoston G, Scali MC, Morrone D, Simova I, Samardjieva M, Boshchenko A, Ryabova T, Vrublevsky A, Palinkas A, Palinkas ED, Sepp R, Torres MAR, Villarraga HR, Preradović TK, Citro R, Amor M, Mosto H, Salamè M, Leeson P, Mangia C, Gaibazzi N, Tuttolomondo D, Prota C, Peteiro J, Van De Heyning CM, D'Andrea A, Rigo F, Nikolic A, Ostojic M, Lowenstein J, Arbucci R, Haber DML, Merlo PM, Wierzbowska-Drabik K, Kasprzak JD, Haberka M, Camarozano AC, Ratanasit N, Mori F, D'Alfonso MG, Tassetti L, Milazzo A, Olivotto I, Marchi A, Rodriguez-Zanella H, Zagatina A, Padang R, Dekleva M, Djordievic-Dikic A, Boskovic N, Tesic M, Giga V, Beleslin B, Di Salvo G, Lorenzoni V, Cameli M, Mandoli GE, Bombardini T, Caso P, Celutkiene J, Barbieri A, Benfari G, Bartolacelli Y, Malagoli A, Bursi F, Mantovani F, Villari B, Russo A, De Nes M, Carpeggiani C, Monte I, Re F, Cotrim C, Bilardo G, Saad AK, Karuzas A, Matuliauskas D, Colonna P, Antonini-Canterin F, Pepi M, Pellikka PA, and The Stress Echo Study Group Of The Italian Society Of Echocardiography And Cardiovascular Imaging Siecvi
- Abstract
With stress echo (SE) 2020 study, a new standard of practice in stress imaging was developed and disseminated: the ABCDE protocol for functional testing within and beyond CAD. ABCDE protocol was the fruit of SE 2020, and is the seed of SE 2030, which is articulated in 12 projects: 1-SE in coronary artery disease (SECAD); 2-SE in diastolic heart failure (SEDIA); 3-SE in hypertrophic cardiomyopathy (SEHCA); 4-SE post-chest radiotherapy and chemotherapy (SERA); 5-Artificial intelligence SE evaluation (AI-SEE); 6-Environmental stress echocardiography and air pollution (ESTER); 7-SE in repaired Tetralogy of Fallot (SETOF); 8-SE in post-COVID-19 (SECOV); 9: Recovery by stress echo of conventionally unfit donor good hearts (RESURGE); 10-SE for mitral ischemic regurgitation (SEMIR); 11-SE in valvular heart disease (SEVA); 12-SE for coronary vasospasm (SESPASM). The study aims to recruit in the next 5 years (2021-2025) ≥10,000 patients followed for ≥5 years (up to 2030) from ≥20 quality-controlled laboratories from ≥10 countries. In this COVID-19 era of sustainable health care delivery, SE2030 will provide the evidence to finally recommend SE as the optimal and versatile imaging modality for functional testing anywhere, any time, and in any patient.
- Published
- 2021
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37. Hemodynamic Heterogeneity of Reduced Cardiac Reserve Unmasked by Volumetric Exercise Echocardiography.
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Bombardini T, Zagatina A, Ciampi Q, Arbucci R, Merlo PM, Haber DML, Morrone D, D'Andrea A, Djordjevic-Dikic A, Beleslin B, Tesic M, Boskovic N, Giga V, de Castro E Silva Pretto JL, Daros CB, Amor M, Mosto H, Salamè M, Monte I, Citro R, Simova I, Samardjieva M, Wierzbowska-Drabik K, Kasprzak JD, Gaibazzi N, Cortigiani L, Scali MC, Pepi M, Antonini-Canterin F, Torres MAR, Nes M, Ostojic M, Carpeggiani C, Kovačević-Preradović T, Lowenstein J, Arruda-Olson AM, Pellikka PA, Picano E, and On Behalf Of The Stress Echo Study Group Of The Italian Society Of Cardiovascular Imaging
- Abstract
Background: Two-dimensional volumetric exercise stress echocardiography (ESE) provides an integrated view of left ventricular (LV) preload reserve through end-diastolic volume (EDV) and LV contractile reserve (LVCR) through end-systolic volume (ESV) changes., Purpose: To assess the dependence of cardiac reserve upon LVCR, EDV, and heart rate (HR) during ESE., Methods: We prospectively performed semi-supine bicycle or treadmill ESE in 1344 patients (age 59.8 ± 11.4 years; ejection fraction = 63 ± 8%) referred for known or suspected coronary artery disease. All patients had negative ESE by wall motion criteria. EDV and ESV were measured by biplane Simpson rule with 2-dimensional echocardiography. Cardiac index reserve was identified by peak-rest value. LVCR was the stress-rest ratio of force (systolic blood pressure by cuff sphygmomanometer/ESV, abnormal values ≤2.0). Preload reserve was defined by an increase in EDV. Cardiac index was calculated as stroke volume index * HR (by EKG). HR reserve (stress/rest ratio) <1.85 identified chronotropic incompetence., Results: Of the 1344 patients, 448 were in the lowest tertile of cardiac index reserve with stress. Of them, 303 (67.6%) achieved HR reserve <1.85; 252 (56.3%) had an abnormal LVCR and 341 (76.1%) a reduction of preload reserve, with 446 patients (99.6%) showing ≥1 abnormality. At binary logistic regression analysis, reduced preload reserve (odds ratio [OR]: 5.610; 95% confidence intervals [CI]: 4.025 to 7.821), chronotropic incompetence (OR: 3.923, 95% CI: 2.915 to 5.279), and abnormal LVCR (OR: 1.579; 95% CI: 1.105 to 2.259) were independently associated with lowest tertile of cardiac index reserve at peak stress., Conclusions: Heart rate assessment and volumetric echocardiography during ESE identify the heterogeneity of hemodynamic phenotypes of impaired chronotropic, preload or LVCR underlying a reduced cardiac reserve.
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- 2021
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38. Feasibility and functional correlates of left atrial volume changes during stress echocardiography in chronic coronary syndromes.
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Morrone D, Arbucci R, Wierzbowska-Drabik K, Ciampi Q, Peteiro J, Agoston G, Varga A, Camarozano AC, Boshchenko A, Ryabova T, Dekleva M, Simova I, Lowenstein Haber DM, Tesic M, Boskovic N, Djordjevic-Dikic A, Beleslin B, D'Alfonso MG, Mori F, Rodrìguez-Zanella H, Kasprzak JD, Cortigiani L, Lattanzi F, Scali MC, Torres MAR, Daros CB, de Castro E Silva Pretto JL, Gaibazzi N, Zagatina A, Zhuravskaya N, Amor M, Mieles PEV, Merlo PM, Monte I, D'Andrea A, Re F, Di Salvo G, Merli E, Lorenzoni V, De Nes M, Paterni M, Limongelli G, Prota C, Citro R, Colonna P, Villari B, Antonini-Canterin F, Carpeggiani C, Lowenstein J, and Picano E
- Subjects
- Adrenergic beta-1 Receptor Agonists administration & dosage, Aged, Aged, 80 and over, Argentina, Brazil, Chronic Disease, Coronary Artery Disease physiopathology, Europe, Exercise, Feasibility Studies, Female, Heart Atria physiopathology, Humans, Italy, Male, Middle Aged, Predictive Value of Tests, Prospective Studies, Syndrome, Vasodilator Agents administration & dosage, Atrial Function, Left, Atrial Pressure, Coronary Artery Disease diagnostic imaging, Echocardiography, Doppler, Pulsed, Echocardiography, Stress, Heart Atria diagnostic imaging
- Abstract
An enlarged left atrial volume index (LAVI) at rest mirrors increased LA pressure and/or impairment of LA function. A cardiovascular stress may acutely modify left atrial volume (LAV) within minutes. Aim of this study was to assess the feasibility and functional correlates of LAV-stress echocardiography (SE) Out of 514 subjects referred to 10 quality-controlled labs, LAV-SE was completed in 490 (359 male, age 67 ± 12 years) with suspected or known chronic coronary syndromes (n = 462) or asymptomatic controls (n = 28). The utilized stress was exercise in 177, vasodilator in 167, dobutamine in 146. LAV was measured with the biplane disk summation method. SE was performed with the ABCDE protocol. The intra-observer and inter-observer LAV variability were 5% and 8%, respectively. ∆-LAVI changes (stress-rest) were negatively correlated with resting LAVI (r = - 0.271, p < 0.001) and heart rate reserve (r = -.239, p < 0.001). LAV-dilators were defined as those with stress-rest increase ≥ 6.8 ml/m
2 , a cutoff derived from a calculated reference change value above the biological, analytical and observer variability of LAVI. LAV dilation occurred in 56 patients (11%), more frequently with exercise (16%) and dipyridamole (13%) compared to dobutamine (4%, p < 0.01). At multivariable logistic regression analysis, B-lines ≥ 2 (OR: 2.586, 95% CI = 1.1293-5.169, p = 0.007) and abnormal contractile reserve (OR: 2.207, 95% CI = 1.111-4.386, p = 0.024) were associated with LAV dilation. In conclusion, LAV-SE is feasible with high success rate and low variability in patients with chronic coronary syndromes. LAV dilation is more likely with reduced left ventricular contractile reserve and pulmonary congestion.- Published
- 2021
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39. A computational approach for the estimation of heart failure patients status using saliva biomarkers.
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Tripoliti EE, Papadopoulos TG, Karanasiou GS, Kalatzis FG, Goletsis Y, Bechlioulis A, Ghimenti S, Lomonaco T, Bellagambi F, Trivella MG, Fuoco R, Marzilli M, Scali MC, Naka KK, Errachid A, and Fotiadis DI
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- Biomarkers, Hospitalization, Humans, Saliva, Heart Failure
- Abstract
The aim of this work is to present a computational approach for the estimation of the severity of heart failure (HF) in terms of New York Heart Association (NYHA) class and the characterization of the status of the HF patients, during hospitalization, as acute, progressive or stable. The proposed method employs feature selection and classification techniques. However, it is differentiated from the methods reported in the literature since it exploits information that biomarkers fetch. The method is evaluated on a dataset of 29 patients, through a 10-fold-cross-validation approach. The accuracy is 94 and 77% for the estimation of HF severity and the status of HF patients during hospitalization, respectively.
- Published
- 2017
- Full Text
- View/download PDF
40. Prognostic value of cardiac power output to left ventricular mass in patients with left ventricular dysfunction and dobutamine stress echo negative by wall motion criteria.
- Author
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Cortigiani L, Sorbo S, Miccoli M, Scali MC, Simioniuc A, Morrone D, Bovenzi F, Marzilli M, and Dini FL
- Subjects
- Aged, Cardiomyopathy, Dilated diagnostic imaging, Cardiomyopathy, Dilated physiopathology, Cause of Death, Cohort Studies, Female, Humans, Male, Middle Aged, Myocardial Ischemia diagnostic imaging, Myocardial Ischemia physiopathology, Predictive Value of Tests, Prognosis, Proportional Hazards Models, Prospective Studies, ROC Curve, Reproducibility of Results, Risk Assessment, Stroke Volume physiology, Survival Analysis, Ventricular Dysfunction, Left diagnostic imaging, Ventricular Dysfunction, Left physiopathology, Cardiac Output physiology, Cardiomyopathy, Dilated mortality, Echocardiography, Stress, Myocardial Contraction physiology, Ventricular Dysfunction, Left mortality
- Abstract
Aims: Cardiac power output to left ventricular mass (power/mass) is an index of myocardial efficiency reflecting the rate at which cardiac work is delivered with respect to the potential energy stored in the left ventricular mass. In the present study, we sought to investigate the capability of power/mass assessed at peak of dobutamine stress echocardiography to predict mortality in patients with ischaemic cardiomyopathy and no inducible ischaemia., Methods and Results: One-hundred eleven patients (95 males; age 68 ± 10 years) with 35 ± 7% mean left ventricular ejection fraction and a dobutamine stress echocardiography (up to 40 µg/kg/min) negative by wall motion criteria formed the study population. Power/mass at peak stress was obtained as the product of a constant (K = 2.22 × 10
-1 ) with cardiac output and the mean arterial pressure divided by left ventricular mass to convert the units to W/100 g. Patients were followed up for a median of 29 months (inter-quartile range 16-72 months). All-cause mortality was the only accepted clinical end point. Mean peak-stress power/mass was 0.70 ± 0.31 W/100 g. During follow-up, 29 deaths (26%) were registered. With a receiver operating characteristic analysis, a peak-stress power/mass ≤0.50 W/100 g [area under curve 0.72 (95% CI 0.63; 0.80), sensitivity 59%, specificity 80%] was the best value for predicting mortality. Univariate prognostic indicators were age, male sex, peak-stress ejection fraction, peak-stress stroke volume, peak-stress cardiac output, peak-stress cardiac power output ≤1.48 W, and peak-stress power/mass ≤0.50 W/100 g. At multivariate analysis, age (HR 1.08, 95% CI 1.04; 1.14; P = 0.004) and peak-stress power/mass ≤0.50 W/100 g (HR 4.05, 95% CI 1.36; 12.00; P = 0.01) provided independent prognostic information. Three-year mortality was 14% in patients with peak-stress power/mass >0.50 W/100 g and 47% in those with peak-stress power/mass ≤0.50 W/100 g (log-rank 20.4; P < 0.0001)., Conclusion: Power/mass assessed at peak of dobutamine stress echocardiography allows effective prognostication in patients with ischaemic cardiomyopathy and test result negative by wall motion criteria. In particular, a peak-stress power/mass ≤50 W/100 g is a strong and multivariable predictor of mortality., (Published on behalf of the European Society of Cardiology. All rights reserved. © The Author 2016. For permissions please email: journals.permissions@oup.com.)- Published
- 2017
- Full Text
- View/download PDF
41. Guest Editorial: Controversies in Fractional Flow Reserve.
- Author
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Scali MC, Morrone D, and Marzilli M
- Abstract
Fractional flow reserve (FFR) has been identified as the optimal diagnostic tool to identify significant coronary lesion. However, current evidence does not support this role. The optimal diagnostic strategy should give highly sensitive and specific results with lowest cost and accomplishing this task has been made more difficult in the era following the COURAGE trial., Competing Interests: Disclosure: The authors have no conflict of interest to declare.
- Published
- 2016
- Full Text
- View/download PDF
42. [Clinical scores in chronic heart failure: does an ideal score exist?].
- Author
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Fontanive P, Miccoli M, Scali MC, Simioniuc A, Dini FL, and Marzilli M
- Subjects
- Chronic Disease, Echocardiography, Doppler methods, Exercise Tolerance physiology, Heart Failure diagnosis, Humans, Natriuretic Peptides metabolism, Practice Guidelines as Topic, Prognosis, Ventricular Function, Left physiology, Biomarkers metabolism, Heart Failure physiopathology, Patient Outcome Assessment
- Abstract
Numerous prognostic markers have shown to be predictive of patient outcome in heart failure (HF). The recent guidelines of the European Society of Cardiology for the diagnosis and treatment of acute and chronic HF have identified as many as 57 individual markers in patients with HF, including demographic data, etiology, comorbidities, clinical, radiological, hemodynamic, echocardiographic and biochemical parameters. If more accurate risk stratification is required, several scoring systems have been proposed. This article reviews scoring systems for HF prognostication. Although most of the models include readily available clinical information, usually NYHA functional class, left ventricular ejection fraction (LVEF) and comorbidities, quite a few of them comprise Doppler echocardiographic variables, other than LVEF, and circulating levels of natriuretic peptides. In order to achieve a better prediction of the outcome, an ideal score should be based on a comprehensive Doppler echocardiographic examination, the assessment of circulating biomarkers, and a more objective evaluation of exercise tolerance.
- Published
- 2015
- Full Text
- View/download PDF
43. Effect of concomitant oral chronic dipyridamole therapy on inflammatory cytokines in heart failure patients.
- Author
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Del Ry S, Morales MA, Scali MC, Tafi A, Giustarini C, Posteraro F, Ambrosini V, Agrusta M, Picano E, and Sicari R
- Subjects
- Dipyridamole administration & dosage, Dipyridamole pharmacology, Female, Humans, Male, Middle Aged, Retrospective Studies, Cytokines metabolism, Dipyridamole therapeutic use, Heart Failure drug therapy, Inflammation Mediators metabolism
- Abstract
Background: To assess whether dipyridamole therapy exerts a significant anti-inflammatory effect in heart failure patients., Methods: We performed a retrospective analysis of the stored bio-samples of 3 groups of patients: 1) 25 normal healthy controls (N); 2) 25 heart failure patients (HF) under standard optimal therapy, including aspirin; 3) 17 HF patients with previous stroke and under clinically-driven therapy with A (Aggrenox, long-acting dipyridamole 200 mg + aspirin 25 mg, twice daily) for at least 1 month (HF-A). In all, we evaluated interleukin (IL)-6, adiponectin and C-reactive protein (CRP) as well as NT-proBNP. The same laboratory measurements were performed in the 17 HF patients with recent or previous stroke, both before and 1-month after clinically driven administration of A., Results: All laboratory inflammatory indices were significantly higher in HF patients compared to N: IL-6 (N = 0.68 (0.3 - 12.7) vs. HF = 3.10 (0.5 - 16.7) vs. HF-A = 1.24 (0.3 - 3.3) pg/mL; p < 0.001 N vs. HF, p < 0.01 N vs. HF-A, p = ns HF vs. HF-A); CRP (N = 0.12 (0.01 - 0.45) vs. HF = 0.58 (0.04 - 2.7) vs. HF-A = 0.72 (0.02 - 4.8) mg/dL; p = ns N vs. HF, p = 0.05 N vs. HF-A, p = ns HF vs. HF-A); Adiponectin (N = 8.8 (3.0 - 31.4) vs. HF = 12.16 (4.9 - 27.3) vs. HF-A = 10.0 (4.8 - 15.6) pg/mL; p < 0.05 N vs. HF, p = ns N vs. HF-A p = ns HF vs. HF-A). NT-proBNP was also increased (N = 42.2 (13 - 93) vs. HF = 1907 (18.1 - 8038) vs. HF-A = 497.9 (7.8 - 3686) pg/mL; p < 0.001 N vs. HF, p = 0.01 N vs. HF-A, p = ns HF vs. HF-A). In 17 subjects, the intra-patient assessment (before and 1-month after starting of Aggrenox therapy) did not show a decrease in inflammation markers., Conclusions: HF patients show an increase in inflammatory indices independently of underlying A therapy.
- Published
- 2013
- Full Text
- View/download PDF
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