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3. Prognostic significance of serum uric acid in outpatients with chronic heart failure is complex and related to body mass index: Data from the IN-CHF Registry

Author

Baldasseroni, S, Urso, R, Maggioni, Ap, Orso, F, Fabbri, G, Marchionni, N, Tavazzi, L, the IN CHF Investigators: Mezzani, A, Bielli, M, Milanese, G, Ugliengo, G, Pozzi, R, Rabajoli, F, Bosimini, E, Begliuomini, G, Ferrari, A, Barzizza, F, Valsecchi, F, Dadda, F, Faggiano, P, Castiglioni, G, Gibelli, G, Turelli, Al, Belluschi, R, Bianchi, C, Emanuelli, C, Gramenzi, S, Foti, S, Agnelli, D, Mascioli, G, Cazzani, E, Zanelli, E, Domenighini, D, Castelli, C, Moroni, E, Gara, E, Guzzetti, S, Muzzupappa, S, Turiel, M, Cappiello, E, Sandrone, G, Recalcati, F, Valenti, D, Achilli, F, Vincenzi, A, Rusconi, F, Palvarini, M, Ghio, S, Fontana, A, Giusti, A, Scelsi, L, Sebastiani, R, Ceresa, M, Nassiacos, D, Meloni, S, Nicoli, T, Bandini, P, Pedretti, R, Paolucci, M, Amati, L, Ravetta, M, Morandi, F, Provasoli, S, Bertolini, A, Imperiale, D, Agen, W, Planca, E, Quorso, P, Ferro, A, Pedrolli, C, Russo, P, Tarantini, L, Candelpergher, G, Cannarozzo, Pp, De Cian, F, Agnoli, A, Stefanini, Mg, Cacciavillani, L, Boffa, Gm, Mario, L, Renosto, G, Stritoni, P, Varotto, L, Penzo, M, Perini, G, Giuliano, G, Barducci, E, Piazza, R, Albanese, Mc, Fresco, C, Picco, F, Venturini, P, Camerini, A, Griffo, R, Derchi, G, Delfino, L, Pizzorno, L, Mazzantini, S, Torre, F, Orlandi, S, Bertoli, D, Gentile, A, Naccarella, F, Gatti, M, Coluccini, M, Morgagni, G, Alfano, G, Reggianini, L, Sansoni, S, Serra, W, Passerini, F, Del Corso, P, Rusconi, L, Marzaloni, M, Mezzetti, M, Gambarati, Gp, Mariani, Pr, Volterrani, C, Venturi, F, Zambald, G, Casolo, G, Moschi, G, Geri Brandinelli, A, Miracapillo, G, Boni, A, Italiani, G, Vergoni, W, Paci, Am, Lattanzi, F, Reisenhofer, B, Severini, D, Taddei, T, Dalle Luche, A, Comella, A, Gasperini, U, Cocchieri, M, Alunni, G, Bosi, E, Panciarola, R, Maragoni, G, Bardelli, G, Testarmata, P, Pasetti, L, Budini, A, Gabrilelli, D, Coderoni, B, Midi, P, Romaniello, C, Del Sindaco, D, Leggio, F, Terranova, A, Pulignano, G, Pozzar, F, Ansalone, G, Magris, B, Giannantoni, P, Cacciatore, G, Bottero, G, Scaffidi, G, Valtorta, C, Salustri, A, Amadeo, F, Barbato, G, Aspromonte, N, Baldo, V, Baldo, E, Frattaroli, C, Mariani, A, Di Marco, G, Levantesi, G, Potena, Ap, Colonna, N, Montano, A, Sensale, P, Maiolica, O, Somelli, A, Napolitano, F, Provvisiero, P, Bottiglieri, P, Ciriello, N, Angelini, E, Andriulo, C, De Santis, F, Cocco, F, Zecca, A, Pennetta, A, Mariello, F, Magliari, F, De Giorgi, A, Callerame, M, Santoro, V, Pede, S, Renna, A, De Donno, O, De Lorenzi, E, Polimeni, G, Russo, Va, Mangia, R, Truncellito, L, Cariello, Fp, Affinita, M, Perticone, F, Cloro, C, Borelli, D, Matta, M, Lopresti, D, Misuraca, G, Caporale, R, Chiappetta, P, Tripodi, E, Tassone, F, Salituri, S, Errigo, C, Meringolo, G, Donnangelo, L, Canonico, G, Coco, R, Franco, M, Coglitore, A, Donato, A, Di Tano, G, Cento, Domenico, DE GREGORIO, Cesare, Mongiovı, M, Schillaci, Am, Mirto, Ij, Clemenza, F, Ingrillı, F, Cavallaro, A, Aloisi, B, Ledda, G, Rizzo, C, Porcu, M, Salis, S, Pistis, L, Pili, G, Piras, S, Maoddi, I, and Uras, F.

Subjects
Male, medicine.medical_specialty, Endocrinology, Diabetes and Metabolism, Medicine (miscellaneous), Hyperuricemia, Models, Biological, Severity of Illness Index, Body Mass Index, chemistry.chemical_compound, Thinness, Internal medicine, Severity of illness, Ambulatory Care, Humans, Medicine, Registries, Mortality, Survival analysis, Aged, Retrospective Studies, Aged, 80 and over, Heart Failure, Nutrition and Dietetics, business.industry, Hazard ratio, Middle Aged, Prognosis, medicine.disease, Survival Analysis, Confidence interval, Uric Acid, Surgery, Italy, chemistry, Heart failure, Cardiology, Uric acid, Female, Cardiology and Cardiovascular Medicine, business, Body mass index
Abstract

In the field of cardiovascular diseases, elevated levels of serum uric acid (UA) reflect a marked activation of the xanthine oxidase pathway with increase in free radicals production; it is often associated with an inflammatory state, oxygen consumption and endothelial dysfunction. All these associations have been also confirmed in heart failure (HF) but the pathophysiological role of UA in this setting is not well understood. The aim of this study was to evaluate the prognostic role of UA in outpatients enrolled in the Italian Registry of Congestive Heart Failure (IN-CHF).All patients met the European Society of Cardiology (ESC) criteria for diagnosis of HF. We considered patients with complete clinical data and UA level available at the baseline and at 1-year follow-up. The study population was composed of 877 patients aged 63 ± 12 years. One-year mortality was 10.8% and dead patients had a higher level of UA than survivors (7.1 mg dl⁻¹ vs 6.6 mg dl⁻¹, p0.0207). In multivariable full model of analysis, UA did not result in an independent predictor of death in overall population, but only in patients with low body mass index (BMI) (≤22 kg m⁻²) (hazard ratio (HR): 2.38, 95% confidence interval (CI) 1.36-4.18). In this subgroup, a statistically significant gradual relationship between UA and survival was detected starting from values higher than 8 mg dl⁻¹.Elevated level of UA is not an independent predictor of mortality in chronic HF, but it markedly worsens outcome if associated with low level of BMI. This association is likely an indicator of chronic inflammatory and catabolic state.

Published
2012
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4. Age-dependent prognostic significance of atrial fibrillation in outpatients with chronic heart failure: data from the Italian Network on Congestive Heart Failure Registry

Author

Baldasseroni, S, Orso, F, Fabbri, G, De Bernardi, A, Cirrincione, V, Gonzini, L, Fumagalli, S, Marchionni, N, Midi, P, Maggioni, Ap, Mezzani, A, Bielli, M, Milanese, U, Ugliengo, G, Pozzi, R, Rabajoli, F, Bosimini, E, Begliuomini, G, Ferrari, A, Barzizza, F, Valsecchi, Mg, Dadda, F, Faggiano, P, Castiglioni, G, Gibelli, G, Turelli, Al, Belluschi, R, Bianchi, C, Emanuelli, C, Gramenzi, S, Foti, G, Agnelli, D, Mascioli, G, Cazzani, E, Zanelli, E, Domenighini, D, Castelli, C, Moroni, E, Gara, E, Guzzetti, S, Muzzupappa, S, Turiel, M, Cappiello, E, Sandrone, G, Recalcati, F, Valenti, D, Achilli, F, Vincenzi, A, Rusconi, F, Palvarini, M, Ghio, S, Fontana, A, Giusti, A, Scelsi, L, Sebastiani, R, Ceresa, M, Nassiacos, D, Meloni, S, Nicoli, T, Bandini, P, Pedretti, R, Paolucci, M, Amati, L, Ravetta, M, Morandi, F, Provasoli, S, Bertolini, A, Imperiale, D, Agen, W, Planca, E, Quorso, P, Ferro, A, Pedrolli, C, Russo, P, Tarantini, L, Candelpergher, G, Cannarozzo, Pp, De Cian, F, Agnoli, A, Stefanini, Mg, Cacciavillani, L, Boffa, Gm, Mario, L, Renosto, G, Stritoni, P, Varotto, L, Penzo, M, Perini, G, Giuliano, G, Barducci, E, Piazza, R, Albanese, Mc, Fresco, C, Picco, F, Venturini, P, Camerini, A, Griffo, R, Derchi, G, Delfino, L, Pizzorno, L, Mazzantini, S, Torre, F, Orlandi, S, Bertoli, D, Gentile, A, Naccarella, F, Gatti, M, Coluccini, M, Morgagni, G, Alfano, G, Reggianini, L, Sansoni, S, Serra, W, Passerini, F, Del Corso, P, Rusconi, L, Marzaloni, M, Mezzetti, M, Gambarati, Gp, Mariani, Pr, Volterrani, C, Venturi, F, Zambaldi, G, Casolo, G, Moschi, G, Geri Brandinelli, A, Miracapillo, G, Boni, A, Italiani, G, Vergoni, W, Paci, Am, Lattanzi, F, Reisenhofer, B, Severini, D, Taddei, T, Dalle Luche, A, Comella, A, Gasperini, U, Cocchieri, M, Alunni, G, Bosi, E, Panciarola, R, Maragoni, G, Bardelli, G, Testarmata, P, Pasetti, L, Budini, A, Gabrilelli, D, Coderoni, B, Romaniello, C, Del Sindaco, D, Leggio, F, Terranova, A, Pulignano, G, Pozzar, F, Ansalone, G, Magris, B, Giannantoni, P, Cacciatore, G, Bottero, G, Scaffidi, G, Valtorta, C, Salustri, A, Amaddeo, F, Barbato, G, Aspromonte, N, Baldo, V, Baldo, E, Frattaroli, C, Mariani, A, Di Marco, G, Levantesi, G, Potena, Ap, Colonna, N, Montano, A, Sensale, P, Maiolica, P, Somelli, A, Napolitano, F, Provvisiero, P, Bottiglieri, P, Ciriello, N, Angelini, E, Andriulo, C, De Santis, F, Cocco, F, Zecca, A, Pennetta, A, Mariello, F, Magliari, F, De Giorgi, A, Callerame, M, Santoro, V, Pede, S, Renna, A, De Donno, O, De Lorenzi, E, Polimeni, G, Russo, Va, Mangia, R, Truncellito, L, Cariello, Fp, Affinita, M, Perticone, F, Cloro, C, Borelli, D, Matta, M, Lopresti, D, Misuraca, G, Caporale, R, Chiappetta, P, Tripodi, E, Tassone, F, Salituri, S, Errigo, C, Meringolo, G, Donnangelo, L, Canonico, G, Coco, R, Franco, M, Coglitore, A, Donato, A, Di Tano, G, Cento, D, DE GREGORIO, Cesare, Mongiovì, M, Schillaci, Am, Mirto, U, Clemenza, F, Ingrillì, F, Cavallaro, A, Aloisi, B, Ledda, G, Rizzo, C, Porcu, M, Salis, S, Pistis, L, Pili, G, Piras, S, Maoddi, I, and Uras, F.

Subjects
Male, medicine.medical_specialty, Adrenergic beta-Antagonists, Age dependent, Angiotensin-Converting Enzyme Inhibitors, VENTRICULAR SYSTOLIC DYSFUNCTION, POPULATION-BASED COHORT, Age Distribution, Older patients, Internal medicine, Atrial Fibrillation, Outpatients, medicine, Humans, Pharmacology (medical), Registries, Aged, Heart Failure, business.industry, Network on, Anticoagulants, Atrial fibrillation, Middle Aged, medicine.disease, Prognosis, Death, Sudden, Cardiac, Italy, Heart failure, Cardiology, Female, Cardiology and Cardiovascular Medicine, business, Anti-Arrhythmia Agents
Abstract

Objectives: The role of atrial fibrillation (AF) in older patients with heart failure (HF) is controversial because many variables seem to influence their outcome. We investigated the predictivity of AF in 3 age groups of outpatients with HF. Methods: We analyzed 8,178 outpatients enrolled in the Italian Network on Congestive Heart Failure Registry with HF diagnosed according to the European Society of Cardiology criteria. A trained cardiologist established the diagnosis of AF and HF at the entry visit at each center. We stratified the population into 3 age groups, as follows: group A, ≤65 years; group B, 66–75 years, and group C, >75 years. Results: Group A was composed of 4,261 patients, 683 with AF (16.0%); in group B there were 2,651 patients, 638 with AF (24.1%), and group C was composed of 1,266 patients, 412 with AF (32.5%). The 1-year mortality rate was higher in AF patients in all groups. In a multivariate model, AF remained an independent risk factor for death in groups A and B, but not in group C [group A: hazard ratio (HR) 1.42, 95% confidence interval (CI) 1.10–1.81; group B: HR 1.29, 95% CI 1.00–1.67; group C: HR 1.05, 95% CI 0.78–1.43]. Conclusion: The prevalence of AF increased with age and was associated with a higher mortality rate. However, AF independently predicted all-cause mortality only in patients aged ≤75 years.

Published
2010

5. Use of digitalis in the treatment of heart failure: data from the Italian Network on Congestive Heart Failure (IN-CHF)

Author

Camerini, A, Griffo, R, Aspromonte, N, Ingrilli', F, Lucci, D, Naccarella, F, Maggioni, Ap, IN-CHF INVESTIGATORS- Piemonte Borgomanero (M. Zanetta, A. M. Paino), Casale Monferrato (M. Ivaldi, A. Giusti), Uslenghi, Cuneo (E., Milanese, U., Deorsola), A., Greco Lucchina, Orbassano (P., Pozzi, R., Rabajoli), F., Veruno (P. Giannuzzi, E. Bosimini), Valle d’Aosta Aosta (M. De Marchi, G. Begliuomini), Richichi, Lombardia Belgioioso (I., Ferrari, A., Barzizza), F., Bergamo Riabilitazione Cardiologica (A. Gavazzi, F. Dadda), Bergamo U. O. Cardiologia Cardiovascolare (A. Gavazzi, A. Fontana), Brescia (C. Rusconi, P. Faggiano), Cogo, Cassano D’Adda (R., Castiglioni, G., Gibelli), G., Chiari (F. Bortolini, A. L. Turelli), Como (G. Ferrari, R. Jemoli), Pirelli, Cremona (S., Bianchi, C., Emanuelli), C., De Martini), Desio (M., Erba (G. Maggi, D. Agnelli), Ferrara), Esine (E., Rovelli, Garbagnate Milanese (G., Lureti, G., Cazzani), E., Giordano, Gussago (A., Zanelli, E., Domenighini), D., Legnano (S. De Servi, C. Castelli), Mariano Comense (G. Bellati, E. Moroni), Milano Fondazione Don Carlo Gnocchi IRCCS (M. Ferratini, E. Gara), Malliani, Milano Sacco (A., Muzzupappa, S., Turiel, M., Guzzetti, S., Cappiello), E., Milano Niguarda (S. Klugmann, F. Recalcati), Milano Pio Albergo Trivulzio (S. Corallo, D. Valenti), Cobelli), Montescano (F., Monza (A. Grieco, A. Vincenzi), Schweiger, Passirana-Rho (C., Rusconi, F., Palvarini), M., Ferrari, Pavia IIAARR S. Margherita (E., Carbone), M., Tavazzi, Pavia IRCCS Policlinico San Matteo (L., Campana, C., Serio), A., Croce, Saronno (A., Nassiacos, D., Meloni), S., Seriate (P. Giani, T. Nicoli), Sondalo (G. Occhi, P. Bandini), Sondrio (S. Giustiniani, M. Moizi), Tradate Fondazione S. Maugeri (R. Pedretti, M. Paolucci), Onofri, Tradate Ospedale di Circolo Galmarini (M., Amati, L., Ravetta), M., Venco, Varese Medicina Interna Azienda Ospedaliera e Universitaria (A., Bertolini, A., Saggiorato), P., Salerno Uriarte, Varese U. O. Cardiologia Azienda Ospedaliera e Universitaria (J., Morandi, F., Provasoli), S., Vizzolo Predabissi (M. Lombardo, P. Quorso), P. A. Trento Rovereto Cardiologia Ospedale Civile (G. Vergara, A. Ferro), Rovereto Medicina Ospedale Civile (M. Mattarei, C. Pedrolli), Catania, Veneto Belluno (G., Tarantini, L., Russo), P., Castelfranco Veneto (L. Celegon, G. Candelpergher), Conegliano Veneto (P. Delise, C. Marcon), Guarnerio, Feltre (M., De Cian, F., Agnoli), A., Montebelluna (G. Neri, M. G. Stefanini), Iliceto, Padova (S., Boffa, G. M., Tiso), E., Pieve di Cadore (J. Dalle Mule, A. Stefania), San Bonifacio (R. Rossi, E. Carbonieri), Treviso (P. Stritoni, G. Renosto), Fontanelli, Vicenza (A., Ottani, F., Varotto), L., Perini), Villafranca (G., Friuli Venezia Giulia Gorizia (D. Igidbashian, G. Giuliano), Monfalcone (T. Morgera, E. Barducci), San Vito al Tagliamento (M. Carone, G. Pascottini), Fioretti, Udine A. O. S. Maria della Misericordia (P., Albanese, M. C., Fresco), C., Udine Casa di Cura Città di Udine (P. Venturini, F. Picco), Liguria Arenzano (R. Griffo, A. Camerini), Chierchia, Genova Ospedali Civili (S., Mazzantini, S., Torre), F., Spirito, Genova Ospedali Galliera (P., Derchi, G., Delfino), L., Genova-Sestri Ponente (S. Domenicucci, L. Pizzorno), Località S. Caterina-Sarzana (G. Filorizzo, D. Bertoli), Rapallo (G. Gigli, S. Orlandi), Gentile), Sestri Levante (A., Emilia Romagna Bentivoglio (G. Di Pasquale, R. Vandelli), Bologna Cardiologia Tiarini-Corticella (F. Naccarella, M. Gatti), Forlì (F. Rusticali, G. Morgagni), Modena Medicina d’Urgenza Ospedale Civile S. Agostino (S. Zucchelli, M. Pradelli), Modena U. O. Cardiologia Ospedale Civile S. Agostino (G. R. Zennaro, G. Alfano), Modena, Modena Ospedale Policlinico (M. G., Reggianini, L., Coppi), F., Parma (D. Ardissino, W. Serra), Piacenza (A. Capucci, F. Passerini), Riccione (L. Rusconi, P. Del Corso), Piovaccari, Rimini (G., Bologna, F., Caccamo), L., Gambarati), Scandiano (G., Bernardi, Toscana Castelnuovo Garfagnana (D., Mariani, P. R., Volterrani), C., Cosmi), Cortona (F., Empoli (V. Mazzoni, F. Venturi), Firenze Divisione di Cardiologia A. O. Careggi (D. Antoniucci, G. Moschi), Zuppiroli, Firenze U. O. Cardiologia 3 A. O. Careggi (A., Pieri, F., Beligni), C., Firenze U. O. Cardiologia 2 A. O. Careggi (M. Ciaccheri, G. Castelli), Santoro, Firenze Nuovo Ospedale San Giovanni di Dio (G. M., Minneci, C., Sulla), A., Firenze P. O. di Camerata (F. Marchi, G. Zambaldi), Fucecchio (A. Zipoli, A. Geri Brandinelli), Grosseto (S. Severi, G. Miracapillo), Pesola, Lido di Camaiore (A., Comella, A., Magnacca), M., Lucca (E. Nannini, A. Boni), Mantini, Montevarchi (G., Bongini, M., Palmerini), L., Vergoni, Pescia (W., Italiani, G., Di Marco), S., Pisa A. O. Pisana (M. De Tommasi, A. M. Paci), Pontedera (G. Tartarini, B. Reisenhofer), Umbria Città di Castello (M. Cocchieri, D. Severini), Foligno (L. Meniconi, U. Gasperini), Ambrosio, Perugia (G., Alunni, G., Murrone), A., Spoleto (G. Maragoni, G. Bardelli), Mocchegiani, Marche Ancona Centro Cardiologia Ambulatoriale G. M. Lancisi (R., Pasetti, L., Budini), A., Ancona Divisione di Cardiologia G. M. Lancisi (G. Perna, D. Gabrielli), Russo, Ancona Geriatrico Sestilli-INRCA IRCCS (P., Testarmata, P., Antonicelli), R., Camerino (R. Amici, B. Coderoni), Lazio Albano Laziale (G. Ruggeri, P. Midi), Frascati (G. Giorgi, F. Comito), Frosinone (G. Faticanti, F. Qualandri), Grottaferrata (D. Galileo Faroni, C. Romaniello), Roma INRCA (F. Leggio, D. del Sindaco), Majid Tamiz, Roma C. Forlanini (A., Avallone, A., Suglia), F., Roma Cristo Re (V. Baldo, E. Baldo), Roma I U. O. Cardiologia San Camillo (E. Giovannini, G. Pulignano), Roma II Divisione di Cardiologia con UTIC San Camillo (S. F. Vajola, E. Picchio), Tanzi, Roma Serv. Centr. Cardiologia-PS Cardiologico San Camillo (P., Pozzar, F., Terranova), A., Santini, Roma San Filippo Neri (M., Ansalone, G., Magris), B., Boccanelli, Roma San Giovanni (A., Cacciatore, G., Bottero), G., Palamara, Roma Sandro Pertini (A., Valtorta, C., Salustri), A., Roma S. Andrea (M. Volpe, L. De Biase), Gaspardone, Roma S. Eugenio (A., Amaddeo, F., Barbato), G., Ceci, Roma Santo Spirito (V., Aspromonte, N., Chiera), A., Scabbia, Viterbo (E. V., Pontillo, D., Castellani), R., Abruzzo Popoli (C. Frattaroli, A. Mariani), De Simone, Vasto (G., Levantesi, G., Di Marco), G., Molise Larino Medicina Generale-U. O. Geriatria (F. Porfilio, A. Pasquale Potena), Staniscia, Termoli (D., Colonna, N., Montano), A., Mininni, Campania Napoli Divisione di Cardiologia A. O. V. Monaldi (N., Miceli, D., Scherillo), M., Napoli I Divisione Med-Centro Diagnosi e Cura SCC A. O. V. Monaldi (P. Sensale, O. Maiolica), Napoli Medicina Incurabili (M. Visconti, A. Costa), Napoli Cardiologia San Gennaro (P. Capogrosso, A. Somelli), Vergara, Nola U. O. Cardiologia e UTIC P. O. Maria della Pietà (G., Napolitano, F., Provvisiero), P., Oliveto Citra (G. D’Angelo, P. Bottiglieri), Puglia Bari (G. Antonelli, N. Ciriello), Ignone, Brindisi (G., Angelini, E., Andriulo), C., Casarano (G. Pettinati, F. De Santis), Francavilla Fontana (V. Cito, F. Cocco), Galatina (F. Daniele, A. Zecca), Gallipoli (F. Cavalieri, C. Picani), Lecce Vito Fazzi (F. Magliari, A. De Giorgi), Santoro), Mesagne (V., San Pietro Vernotico (S. Pede, A. Renna), Scorrano (E. De Lorenzi, O. De Donno), Baldi, Taranto S. S. Annunziata (N., Polimeni, G., Russo), V. A., Tricase (A. Galati, R. Mangia), Basilicata Policoro (B. D’Alessandro, L. Truncellito), Calabria Belvedere Marittimo (F. P. Cariello, F. Rosselli), Catanzaro U. O. Cardiologia Policlinico (G. Borrello, M. Affinita), Catanzaro U. O. Malattie Cardiovascolari Policlinico (F. Perticone, C. Cloro), Sollazzo, Cetraro (G., Matta, M., Lopresti), Venneri, Cosenza Cardiologia Annunziata (N., Misuraca, G., Caporale), R., Cosenza Medicina Annunziata (A. Noto, P. Chiappetta), Tassone), Reggio Calabria E. Morelli (F., Salituri), Rossano (S., Iannopollo, Siderno (M., Errigo, C., Marando), G., Trebisacce (L. Donnangelo, G. Meringolo), Canonico), Sicilia Avola (G., Carini, Catania Cannizzaro (V., Coco, R., Franco), M., Catania Cardiochirurgia Ferrarotto (M. Abbate, G. Leonardi), Messina Papardo (R. Grassi, G. Di Tano), Consolo), Messina Piemonte (G., Coglitore, Messina (S., Cento, D., De Gregorio), C., Palermo Casa del Sole Lanza di Trabia (V. Sperandeo, M. Mongiovì), Palermo Buccheri La Ferla FBF (A. Castello, A. M. Schillaci), Palermo Civico e Benfratelli (E. D’Antonio, U. Mirto), Di Pasquale), Palermo G. F. Ingrassia (P., Palermo V. Cervello (A. Canonico, M. Floresta), Battaglia, Palermo P. O. Villa Sofia (A., Ingrillì, F., Cirrincione), V., Piazza Armerina M. Chiello (B. Aloisi, A. Cavallaro), Braschi, Trapani (G. B., Ledda, G., Rizzo), C., Sanna, Sardegna Cagliari San Michele Brotzu (A., Porcu, M., Salis), S., Lai, Cagliari SS. Trinità (C., Pili, G., Piras), S., Iglesias (E. Spiga, G. Pes), Nuoro (G. Mureddu, I. Maoddi), and Sassari SS. Annunziata (P. Terrosu, F. Uras).

Subjects
Adult, Heart Failure, Male, Dose-Response Relationship, Drug, Digitalis Glycosides, Middle Aged, Prognosis, Risk Assessment, Severity of Illness Index, Survival Analysis, Drug Administration Schedule, Drug Utilization, Treatment Outcome, Italy, Atrial Fibrillation, Heart Function Tests, Multivariate Analysis, Ambulatory Care, Confidence Intervals, Odds Ratio, Humans, Female, Registries, Aged, Retrospective Studies
Abstract

Since the large multicenter DIG trial has shown no effects of digitalis on the all-cause mortality of patients with chronic heart failure (HF), the broad prescription of this drug in patients with HF appears to be at the very least, questionable. The aims of this study were: to analyze prescription patterns of digitalis, from 1995 to 2000, in a large group of outpatients with HF; to analyze the independent predictors of digitalis prescription and to evaluate the impact of the results of the DIG trial on the prescription rate of this drug.From 1995 to 2000, 11 070 HF outpatients (mean age 64 +/- 12 years, ejection fraction 35 +/- 12%) were enrolled in a large Italian database.Out of 11 070 patients, 7198 (65%) were treated with digitalis. At multivariate analysis, the following variables were independently associated with digitalis prescription; atrial fibrillation (odds ratio [OR] 3.3, 95% confidence interval [CI] 2.9-3.8), ejection fraction30% (OR 1.7, 95% CI 1.5-1.9), NYHA class III-IV vs II-III (OR 1.3, 95% CI 1.2-1.5), admission for HF during the previous year (OR 1.4, 95% CI 1.2-1.5). After the publication of the DIG trial, there was a significant reduction in the rate of digitalis prescription: the percentage of patients taking digitalis fell from 68% in 1996-1997 to 61% in 1998-1999 (p0.001).Over 60% of Italian outpatients with HF were treated with digitalis; as expected, patients with a low ejection fraction, atrial fibrillation and in a more advanced stage of HF are more likely to receive this drug. Finally, after the publication of the DIG trial, the rate of digitalis prescription significantly decreased.

Published
2004

6. Poincare Plots and Symbolic Dynamics Patterns of Left Ventricular Function Parameters Extracted From Echocardiographic Acoustic Quantification

Author

MILAN UNIV (ITALY), D'Addio, G., Caiani, E. G., Turiel, M., Muzzupappa, S., Porta, A., MILAN UNIV (ITALY), D'Addio, G., Caiani, E. G., Turiel, M., Muzzupappa, S., and Porta, A.

Abstract

Throughout the echocardiographic acoustic quantification technique, a non-invasive estimate of left ventricular volume (VV) is obtained and acquired in real-time. An automated algorithm is applied to extract the beat-by-beat values of ventricular function parameters. Their beat-by-beat variability has been recently studied, together with heart period (RR) variability, by spectral techniques. In this study, we propose to investigate this variability by nonlinear techniques, such as Poincare plots (PPs) and symbolic dynamics (SyD) patterns. A group of 17 normal young subjects (NY, 25 plus or minus 1 years) and a group of 12 normal old subjects (NO, 64 plus or minus 2 years) were studied to observe if this approach could be able to detect modifications in VV function connected with the aging process. Differences in RR, peak filling and peak ejection rate were evidenced by PPs indexes. SyD analysis evidenced different patterns: in RR a change from increasing/decreasing in NY to alternating pattern in NO was found, together with a change in SV pattern from random in NY to alternating in NO. Consistent alternating patterns were found in VV derivative parameters. in conclusion, PPs and SyD patterns seemed able to evidence differences between NY and NO ventricular function, otherwise not captured by linear analysis techniques., Presented at Annual International Conference of the IEEE Engineering in Medicine and Biology Society (23rd) held in Istanbul, Turkey on 25-28 Oct 2001. See also ADM001351 for entire conference on CD-ROM.

Published
2001

7. Warped-average template technique to track on a cycle-by-cycle basis the cardiac filling phases on left ventricular volume

Author

Caiani, E, Porta, A, Baselli, G, Turiel, M, Muzzupappa, S, Pieruzzi, F, Crema, C, Malliani, A, Cerutti, S, Cerutti, S., PORTA, ANDREA, PIERUZZI, FEDERICO UMBERTO EMILIO GUGLIE, Caiani, E, Porta, A, Baselli, G, Turiel, M, Muzzupappa, S, Pieruzzi, F, Crema, C, Malliani, A, Cerutti, S, Cerutti, S., PORTA, ANDREA, and PIERUZZI, FEDERICO UMBERTO EMILIO GUGLIE

Abstract

The dynamic time warping approach is utilised to obtain a template fi om the left ventricular volume signal. The technique by performing shrinking and enlarging of the temporal axes of two waveforms, indicates the best non linear alignment between them. In this application this technique is used to track on a cycle-by-cycle basis the diastasis onset and offset thus allowing us to reliably measure temporal sub-intervals of the filling period.

Published
1998

13. Diet therapy for rheumatoid arthritis. A controlled double-blind study of two different dietary regimens.

Author

Sarzi-Puttini, Piercarlo, Comi, Dario, Boccassini, Laura, Muzzupappa, Sabrina, Turiel, Maurizio, Panni, Benedetta, Salvaggio, Antonino, Sarzi-Puttini, P, Comi, D, Boccassini, L, Muzzupappa, S, Turiel, M, Panni, B, and Salvaggio, A

Subjects
DIET therapy, RHEUMATOID arthritis treatment
Abstract

Objective: To evaluate the effects of a diet therapy in patients with rheumatoid arthritis (RA).Methods: Fifty RA patients entered a 24-week double-blind, randomised, controlled-study of two different dietary regimens (an experimental diet high in unsaturated fats, low in saturated fats with hypoallergenic foods vs. a control well-balanced diet). The primary end points of the study were 20% and 50% improvement in disease activity according to composite symptoms (Paulus index) of arthritis. Other end points were the other measures of disease activity at 12 and 24 weeks of diet treatment.Results: The 2 groups were comparable at inclusion. Diet treatment was well tolerated and the rate of drop-outs was low. Percentage of patients with global 20 or 50% response didn't differ between experimental and control group after the 24-week of diet treatment. The experimental diet group did better for all the variables considered but only four variables (Ritchie's index, tender and swollen joints, and ESR) reached a statistical difference by multivariate analysis. Adjusting these data for weight variations, the number of tender joints (p=0.014) and ESR (p=0.025) were still statistically significant.Conclusions: Dietary manipulation, either by modifying food supplements or by reducing weight, may give some clinical benefit although no significant improvement can be observed assessing the results with a composite index. [ABSTRACT FROM AUTHOR]

Published
2000
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14. Clinical features and prognosis associated with a preserved left ventricular systolic function in a large cohort of congestive heart failure outpatients managed by cardiologists. Data from Italian network on congestive heart failure

Author

Tarantini, L., Faggiano, P., Senni, M., Lucci, D., Bertoli, D., Porcu, M., Opasich, C., Tavazzi, L., Maggioni, A. P., Zanetta, M., Bielli, M., Uslenghi, P. G., Milanese, G., Ugliengo, G., Lucchina, P. G., Pozzi, R., Rabajoli, F., Giannuzzi, P., Bosimini, E., Richichi, I., Ferrari, A., Barzizza, F., Mazzoleni, D., Dadda, F., Rusconi, C., Gibelli, G., Castiglioni, G., Bortolini, F., Turelli, A. L., Ferrari, G., Yemoli, R., Pirelli, S., Bianchi, C., Emanuelli, C., Martini, M., Maggi, G., Agnelli, D., Ferrara, E., Grieco, A., Cazzani, E., Giordano, A., Zanelli, E., Domenighini, D., Servi, S., Castelli, C., Bellanti, G., Moroni, E., Klugmann, S., Recalcati, F., Malliani, A., Muzzupappa, S., Turiel, M., Guzzetti, M., Cappiello, E., Corallo, S., Valenti, D., Ferrantini, M., Gara, E., Sala, L., Achilli, F., Vincenzi, A., Schweiger, C., Rusconi, F., Palvarini, M., Ani, A., Campana, C., Serio, A., Croce, A., Nassiacos, D., Meloni, S., Giani, P., Nicoli, T., Occhi, G., Bandini, P., Onofri, M., Amati, L., Ravetta, M., Pedretti, R., Paolucci, M., Salerno Uriarte, J., Morandi, F., Provasoli, S., Lombardo, M., Quorso, P., Vergara, G., Ferro, A., Mattarei, M., Carlo Pedrolli, Catania, G., Russo, P., Celegon, L., Candelpergher, G., Delise, P., Marcon, C., Buchberger, R., Stefanini, M. G., Iliceto, S., Cacciavillani, L., Boffa, G. M., and Dalle Mule, J.

22. A low pulse pressure is an independent predictor of mortality in heart failure: Data from a large nationwide cardiology database (IN-CHF registry)

Author

Schillaci, Giuseppe, Di Luzio, Silvia, Coluccini, Mario, Gonzini, Lucio, Porcu, Maurizio, Pozzar, Francesco, Maggioni, Aldo P, Investigators, Mezzani, A, Bielli, M, Milanese, U, Ugliengo, G, Pozzi, R, Rabajoli, F, Bosimini, E, Begliuomini, G, Ferrari, A, Barzizza, F, Valsecchi, Mg, Dadda, F, Faggiano, P, Castiglioni, G, Gibelli, G, Turelli, Al, Belluschi, R, Bianchi, C, Emanuelli, C, Gramenzi, S, Foti, G, Agnelli, D, Mascioli, G, Cazzani, E, Zanelli, E, Domenighini, D, Castelli, C, Moroni, E, Gara, S, Guzzetti, S, Muzzupappa, S, Turiel, M, Cappiello, E, Sandrone, G, Recalcati, F, Valenti, D, Achilli, F, Vincenzi, A, Rusconi, F, Palvarini, M, Ghio, S, Fontana, A, Giusti, A, Scelsi, L, Sebastiani, R, Ceresa, M, Nassiacos, D, Meloni, S, Nicoli, T, Bandini, P, Pedretti, R, Paolucci, M, Amati, L, Ravetta, M, Morandi, F, Provasoli, S, Bertolini, A, Imperiale, D, Agen, W, Planca, E, Quorso, P, Ferro, A, Pedrolli, C, Russo, P, Tarantini, L, Candelpergher, G, Cannarozzo, Pp, De Cian, F, Agnoli, A, Stefanini, Mg, Cacciavillani, L, Boffa, Gm, Mario, L, Renosto, G, Stritoni, P, Varotto, L, Penzo, M, Perini, G, Giuliano, G, Barducci, E, Piazza, R, Albanese, Mc, Fresco, C, Picco, F, Venturini, P, Camerini, A, Griffo, R, Derchi, G, Delfino, L, Pizzorno, L, Mazzantini, S, Torre, F, Orlandi, S, Bertoli, D, Gentile, A, Naccarella, F, Gatti, M, Coluccini, M, Morgagni, G, Alfano, G, Reggianini, L, Sansoni, S, Serra, W, Passerini, F, Del Corso, P, Rusconi, L, Marzaloni, M, Mezzetti, M, Gambarati, Gp, Mariani, Pr, Volterrani, C, Venturi, F, Zambaldi, G, Casolo, G, Moschi, G, Geri Brandinelli, G, Miracapillo, G, Boni, A, Italiani, G, Vergoni, W, Paci, Ap, Lattanzi, F, Reisenhofer, B, Severini, D, Taddei, T, Dalle Luche, A, Comella, A, Gasperini, U, Cocchieri, M, Alunni, G, Bosi, E, Panciarola, R, Maragoni, G, Bardelli, G, Testarmata, P, Pasetti, L, Budini, A, Gabrielli, D, Coderoni, B, Midi, P, Romaniello, C, Del Sindaco, D, Leggio, F, Terranova, A, Pulignano, G, Pozzar, P, Ansalone, G, Magris, B, Giannantoni, P, Cacciatore, G, Bottero, G, Scaffidi, G, Valtorta, C, Salustri, A, Amaddeo, F, Barbato, G, Aspromonte, N, Baldo, V, Baldo, E, Frattaroli, C, Mariani, A, Di Marco, G, Levantesi, G, Potena, Ap, Colonna, N, Montano, A, Sensale, P, Maiolica, O, Somelli, A, Napolitano, F, Provvisiero, P, Bottiglieri, P, Ciriello, N, Angelini, E, Andriulo, C, De Santis, F, Cocco, F, Pennetta, A, Mariello, F, Magliari, F, De Giorgi, A, Callerame, M, Santoro, V, Pede, S, Renna, A, De Donno, O, De Lorenzi, E, Polimeni, V, Russo, Va, Mangia, R, Truncellito, L, Cariello, Fp, Affinita, M, Perticone, F, Cloro, C, Borelli, D, Matta, M, Lopresti, D, Misuraca, A, Caporale, R, Chiappetta, P, Tripodi, E, Tassone, F, Salituri, S, Errigo, C, Meringolo, G, Donnangelo, L, Canonico, G, Coco, R, Franco, M, Coglitore, A, Donato, A, Di Tano, G, Cento, D, DE GREGORIO, Cesare, Mongiovì, M, Schillaci, Am, Mirto, U, Clemenza, F, Ingrillì, F, Cavallaro, A, Aloisi, B, Ledda, G, Rizzo, C, Porcu, M, Salis, S, Pistis, L, Pili, G, Piras, S, Maoddi, I, and Uras, F.

Subjects
Adult, Male, medicine.medical_specialty, Blood Pressure, Independent predictor, Low pulse pressure, Predictive Value of Tests, Internal medicine, Humans, Medicine, Aged, Female, Follow-Up Studies, Heart Failure, Italy, Middle Aged, Pulse, Registries, Stroke Volume, business.industry, medicine.disease, Heart failure, Cardiology, Cardiology and Cardiovascular Medicine, business
Abstract

A high pulse pressure (PP) predicts cardiovascular mortality in hypertension and in the elderly. We analyzed the data from the Italian Network of Congestive Heart Failure Registry to test the prognostic role of PP in patients with heart failure.A total of 8660 patients with heart failure (mean age 64 +/- 12 years, 73% male) were divided into four groups according to their PP (40, 40-49, 50-59, andor = 60 mmHg), and followed prospectively.After 1 year, 995 patients (11.5%) died. Both the mean arterial pressure and systolic blood pressure were found to be inversely associated with mortality at univariate and multivariate analyses. An inverse univariate relation was observed between PP and all-cause mortality. An excess mortality risk in the lowest PP group (odds ratio 1.40, 95% confidence interval 1.09-1.79 vs the highest PP group) was confirmed in a multivariate analysis which took into account the effect of several other variables, including mean arterial pressure. Similar findings were obtained for cardiovascular mortality. When we replaced systolic blood pressure with mean arterial pressure in the model, PP did not retain its independent prognostic role, possibly because of the high co-linearity between these two variables (r = 0.87).For any given level of mean arterial pressure, a low PP is an independent predictor of all-cause and cardiovascular death in patients with heart failure. The association may be partly related to the strong influence of low systolic blood pressure on mortality. Different pathophysiological mechanisms may underlie the opposite prognostic significance of PP in hypertension and heart failure.

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25. Five-year follow-up by transesophageal echocardiographic studies in primary antiphospholipid syndrome.

Author

Turiel M, Sarzi-Puttini P, Peretti R, Bonizzato S, Muzzupappa S, Atzeni F, Rossi E, Doria A, Turiel, Maurizio, Sarzi-Puttini, Piercarlo, Peretti, Rossana, Bonizzato, Sara, Muzzupappa, Sabrina, Atzeni, Fabiola, Rossi, Edoardo, and Doria, Andrea

Abstract

This prospective study describes valvular abnormalities assessed by transesophageal echocardiography (TEE) in patients with primary antiphospholipid syndrome (APLS) over a 5-year follow-up. Of the 56 patients with APLS evaluated at baseline, 47 (84%) had repeat TEE examinations, including 3 patients who died before the end of the follow-up. The first TEE study showed cardiac involvement (thickening or vegetations and embolic sources) in 34 subjects (61%), with mitral valve thickening, the most common abnormality, present in 30 patients (54%). Embolic sources were found in 14 patients (25%; 9 severe spontaneous echocardiographic contrast, 5 Libman-Sacks endocarditis), associated with mitral valve thickening or stenosis in 10 patients. Over the 5-year follow-up, cardiac involvement was unchanged in 30 subjects (64%). New cardiac abnormalities were observed in 17 patients (36%), 15 (88%) with high immunoglobulin-G (IgG) anticardiolipin antibody (aCL) titers and 2 (12%) with low IgG aCL titers. In conclusion, this study showed that mitral valve thickening and embolic sources are frequently observed in patients with APLS. Anticoagulant and/or antiplatelet treatment was ineffective in terms of valvular lesion regression. New appearances of cardiac involvement are significantly related to high IgG aCL titers. [ABSTRACT FROM AUTHOR]

Published
2005
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26. Quantitative evaluation of regional left ventricular wall motion using color kinesis after percutaneous transluminal myocardial revascularization.

Author

Turiel, Maurizio, Gottardi, Barbara, Casiraghi, Stefano, Muzzupappa, Sabrina, Buonamici, Valeria, Sarzi-Puttini, Piercarlo, Colombo, Alessandro, Piccaluga, Emanuela, Viecca, Maurizio, Turiel, M, Gottardi, B, Casiraghi, S, Muzzupappa, S, Buonamici, V, Sarzi-Puttini, P, Colombo, A, Piccaluga, E, and Viecca, M

Subjects
*LEFT heart ventricle, *MYOCARDIAL revascularization
Abstract

Assesses whether quantitative segmental analysis of color kinesis images can adequately identify left ventricular (LV) wall motion changes that occur after percutaneous transluminal myocardial revasculariation (PTMR). Exercise tolerance; Segmentation schemes of color-endoded images; LV ejection fraction and global fractional area change.

Published
2001
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27. Warped-average template technique to track on a cycle-by-cycle basis the cardiac filling phases on left ventricular volume

Author

C. Crema, Alberto Porta, Alberto Malliani, Enrico G. Caiani, Giuseppe Baselli, Sergio Cerutti, S. Muzzupappa, Federico Pieruzzi, Maurizio Turiel, Caiani, E, Porta, A, Baselli, G, Turiel, M, Muzzupappa, S, Pieruzzi, F, Crema, C, Malliani, A, and Cerutti, S

Subjects
Dynamic time warping, Offset (computer science), Computer science, Geometry, left ventricular volume, warped-average template, echocardiography, spectral analysis, medicine.disease, Volume measurement, Diastasis, medicine, Cycle basis, Ventricular volume, Waveform, Spectral analysis, Algorithm
Abstract

The dynamic time warping approach is utilised to obtain a template from the left ventricular volume signal. The technique, by performing shrinking and enlarging of the temporal axes of two waveforms, indicates the best non-linear alignment between them. In this application this technique is used to track on a cycle-by-cycle basis the diastasis onset and offset thus allowing one to reliably measure temporal sub-intervals of the filling period.

Published
1998

28. Noninvasive quantification of respiratory modulation on left ventricular size and stroke volume.

Author

Caiani EG, Turiel M, Muzzupappa S, Colombo LP, Porta A, and Baselli G

Subjects
Cardiomyopathy, Dilated diagnostic imaging, Cardiomyopathy, Dilated pathology, Humans, Middle Aged, Models, Cardiovascular, Ventricular Function, Left physiology, Cardiomyopathy, Dilated physiopathology, Echocardiography methods, Heart Rate physiology, Respiratory Mechanics physiology, Stroke Volume physiology
Abstract

To noninvasively explore the complex interactions between heart rate, left ventricular (LV) stroke volume (SV) and respiration, different techniques were proposed and applied to the beat-to-beat measurements of end-diastolic (ED), end-systolic (ES) volumes and SV, obtained from echocardiographic acoustic quantification LV volume signal. Data were obtained from eight patients with dilated cardiomyopathy (DCM, age 60 +/- 2, mean +/- SE), and from 11 age-matched healthy volunteers (N, age 63 +/- 2). Spectral analysis showed an increase in HF power in DCM, both in ED (in ml2, 58 +/- 18 versus 19 +/- 5 in N) and in SV (in ml2, 55 +/- 12 versus 17 +/- 5 in N), together with an increase in total power (in ml2, ED: 119 +/- 31 in DCM versus 48 +/- 9 in N; SV: 88 +/- 17 in DCM versus 31 +/- 8 in N). Folded scattergrams evidenced higher amplitude oscillations in DCM (in ml, ES: 7.93 +/- 1.29; ED: 7.94 +/- 1.59; SV: 7.27 +/- 0.91) compared to N (in ml, ES: 4.08 +/- 0.64; ED: 3.56 +/- 0.65; SV: 3.63 +/- 0.43). Moreover, the prevalent effect of increased afterload generating SV reduction during inspiration was pointed out in N, while an intersubject dispersion in the relation between respiratory phase and LV dimension changes was found in DCM. Black-box model identification summarized these mechanisms by means of a few quantitative parameters.

Published
2002
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29. A case of subannular aortic aneurysm detected by transoesophageal echocardiography.

Author

Turiel M, Gottardi B, and Muzzupappa S

Subjects
Heart Valve Prosthesis Implantation, Humans, Male, Middle Aged, Aortic Aneurysm diagnostic imaging, Echocardiography, Transesophageal
Abstract

Subvalvular aortic aneurysm is a cardiac abnormality extremely uncommon in white adult patients. Accurate diagnosis can be made by transoesophageal echocardiography which is the modality of choice for non-invasive recognition of aortic and subaortic abnormalities. In this report we describe, in a 47-year-old white man with subvalvular aortic aneurysm associated to aortic bicuspid valve, the echocardiographic diagnosis and cardiac intervention of aortic valve replacement with surgical obliteration of the orifice. A good surgical result was confirmed by an echocardiographic transthoracic examination performed after 6 months.

Published
2001
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30. Evaluation of respiratory influences on left ventricular function parameters extracted from echocardiographic acoustic quantification.

Author

Caiani EG, Turiel M, Muzzupappa S, Porta A, Baselli G, Pagani M, Cerutti S, and Malliani A

Subjects
Adult, Aged, Aging physiology, Algorithms, Biometry, Echocardiography statistics & numerical data, Female, Humans, Male, Middle Aged, Echocardiography methods, Respiration, Ventricular Function, Left
Abstract

This study was designed to assess, using the echocardiographic acoustic quantification technique, the influence of respiration on left ventricular (LV) function and its modifications connected with the ageing process, quantifying in a non-invasive way the respiratory contribution to the LV volume variability. An automated algorithm is applied to extract the beat-to-beat measurements of LV function parameters from the LV volume signal, obtained from recordings lasting a few minutes. Mean values, amount of variability and spectral content were studied in a population of 17 normal young (mean age 25 +/- 1 years) and 12 normal old (mean age 64 +/- 2 years) subjects. Mean values of the beat-to-beat measurements of LV function parameters were able to point out alterations connected with the ageing process in peak filling rate, peak atrial filling rate and peak ejection rate. Spectral analysis, applied to the extracted variability series, displayed a predominance of the high-frequency (HF) component corresponding to respiration in all LV function parameters; moreover, age related changes of HF variability were observed in peak ejection rate. The HF power spectrum component of beat to beat series extracted from the LV signal can provide a non-invasive assessment of the fluctuations in ventricular parameters associated with respiration.

Published
2000
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31. [Multiplanar transesophageal echocardiography in a case of hypernephroma].

Author

Turiel M, Crema C, Frisinghelli A, Muzzupappa S, Serrago M, Vago L, Picca M, and Pelosi G

Subjects
Aged, Carcinoma, Renal Cell complications, Carcinoma, Renal Cell pathology, Heart Atria diagnostic imaging, Heart Atria pathology, Heart Failure diagnostic imaging, Heart Failure etiology, Heart Failure pathology, Heart Neoplasms diagnostic imaging, Heart Neoplasms pathology, Heart Neoplasms secondary, Humans, Kidney Neoplasms complications, Kidney Neoplasms pathology, Male, Neoplasm Invasiveness, Vena Cava, Inferior pathology, Carcinoma, Renal Cell diagnostic imaging, Echocardiography, Transesophageal, Kidney Neoplasms diagnostic imaging
Abstract

A 78-year-old man admitted to our hospital with signs and symptoms of right ventricular failure, consisting of severe edema of the scrotum and the penis, ankle edema, hepatomegaly, and a history of asthenia associated with a recent weight loss. Two-dimensional echocardiography showed an intracavitary mass in the right atrium and a moderate pericardial effusion; the remaining structures were normal. To better define the origin of this mass, transesophageal echocardiography was performed. The mass extended from the inferior vena cava with no sites of attachment to the atrial wall. The mass was elongated, mobile, with a triangular termination near the tricuspid valve, without signs of right ventricular obstruction. An abdominal-pelvic CT scan demonstrated the origin of the mass at the superior pole of the left kidney extending through the renal vein and the inferior vena cava into the right atrium. The mass was surgically removed and the pathological examination revealed a renal cell carcinoma (hypernephroma) of the clear cells subtype. After surgery, the patient did well with the resolution of the picture of right ventricular failure.

Published
1994

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