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7 results on '"Soranna, D"'

1. Impact of severe secondary tricuspid regurgitation on rest and exercise hemodynamics of patients with heart failure and a preserved left ventricular ejection fraction

Author

Baratto, C, Caravita, S, Corbetta, G, Soranna, D, Zambon, A, Dewachter, C, Gavazzoni, M, Heilbron, F, Tomaselli, M, Radu, N, Perelli, F, Perego, G, Vachiery, J, Parati, G, Badano, L, Muraru, D, Baratto C., Caravita S., Corbetta G., Soranna D., Zambon A., Dewachter C., Gavazzoni M., Heilbron F., Tomaselli M., Radu N., Perelli F. P., Perego G. B., Vachiery J. -L., Parati G., Badano L., Muraru D., Baratto, C, Caravita, S, Corbetta, G, Soranna, D, Zambon, A, Dewachter, C, Gavazzoni, M, Heilbron, F, Tomaselli, M, Radu, N, Perelli, F, Perego, G, Vachiery, J, Parati, G, Badano, L, Muraru, D, Baratto C., Caravita S., Corbetta G., Soranna D., Zambon A., Dewachter C., Gavazzoni M., Heilbron F., Tomaselli M., Radu N., Perelli F. P., Perego G. B., Vachiery J. -L., Parati G., Badano L., and Muraru D.

Abstract

Background: Both secondary tricuspid regurgitation (STR) and heart failure with preserved ejection fraction (HFpEF) are relevant public health problems in the elderly population, presenting with potential overlaps and sharing similar risk factors. However, the impact of severe STR on hemodynamics and cardiorespiratory adaptation to exercise in HFpEF remains to be clarified. Aim: To explore the impact of STR on exercise hemodynamics and cardiorespiratory adaptation in HFpEF. Methods: We analyzed invasive hemodynamics and gas-exchange data obtained at rest and during exercise from HFpEF patients with severe STR (HFpEF-STR), compared with 1:1 age-, sex-, and body mass index (BMI)- matched HFpEF patients with mild or no STR (HFpEF-controls). Results: Twelve HFpEF with atrial-STR (mean age 72 years, 92% females, BMI 28 Kg/m2) and 12 HFpEF-controls patients were analyzed. HFpEF-STR had higher (p < 0.01) right atrial pressure than HFpEF-controls both at rest (10 ± 1 vs. 5 ± 1 mmHg) and during exercise (23 ± 2 vs. 14 ± 2 mmHg). Despite higher pulmonary artery wedge pressure (PAWP) at rest in HFpEF-STR than in HFpEF-controls (17 ± 2 vs. 11 ± 2, p = 0.04), PAWP at peak exercise was no more different (28 ± 2 vs. 29 ± 2). Left ventricular transmural pressure and cardiac output (CO) increased less in HFpEF-STR than in HFpEF-controls (interaction p-value < 0.05). This latter was due to lower stroke volume (SV) values both at rest (48 ± 9 vs. 77 ± 9 mL, p < 0.05) and at peak exercise (54 ± 10 vs. 93 ± 10 mL, p < 0.05). Despite these differences, the two groups of patients laid on the same oxygen consumption isophlets because of the increased peripheral oxygen extraction in HFpEF-STR (p < 0.01). We found an inverse relationship between pulmonary vascular resistance and SV, both at rest and at peak exercise (R2 = 0.12 and 0.19, respectively). Conclusions: Severe STR complicating HFpEF impairs SV and CO reserve, leading to pulmonary vascular de-recruitment and relative

Published
2023

2. Vitamin D Status and SARS-CoV-2 Infection and COVID-19 Clinical Outcomes

Author

Chiodini, I, Gatti, D, Soranna, D, Merlotti, D, Mingiano, C, Fassio, A, Adami, G, Falchetti, A, Eller-Vainicher, C, Rossini, M, Persani, L, Zambon, A, Gennari, L, Chiodini I., Gatti D., Soranna D., Merlotti D., Mingiano C., Fassio A., Adami G., Falchetti A., Eller-Vainicher C., Rossini M., Persani L., Zambon A., Gennari L., Chiodini, I, Gatti, D, Soranna, D, Merlotti, D, Mingiano, C, Fassio, A, Adami, G, Falchetti, A, Eller-Vainicher, C, Rossini, M, Persani, L, Zambon, A, Gennari, L, Chiodini I., Gatti D., Soranna D., Merlotti D., Mingiano C., Fassio A., Adami G., Falchetti A., Eller-Vainicher C., Rossini M., Persani L., Zambon A., and Gennari L.

Abstract

Background: Several studies suggest an association between serum 25-hydroxyvitamin D (25OHD) and the outcomes of Severe Acute Respiratory Syndrome Corona-Virus-2 (SARS-CoV-2) infection, in particular Coronavirus Disease-2019 (COVID-19) related severity and mortality. The aim of the present meta-analysis was to investigate whether vitamin D status is associated with the COVID-19 severity, defined as ARDS requiring admission to intensive care unit (ICU) or mortality (primary endpoints) and with the susceptibility to SARS-CoV-2 and COVID-19-related hospitalization (secondary endpoints). Methods: A search in PubMed, ScienceDirect, Web of Science, Google Scholar, Scopus, and preprints repositories was performed until March 31th 2021 to identify all original observational studies reporting association measures, or enough data to calculate them, between Vitamin D status (insufficiency <75, deficiency <50, or severe deficiency <25 nmol/L) and risk of SARS-CoV-2 infection, COVID-19 hospitalization, ICU admission, or death during COVID-19 hospitalization. Findings: Fifty-four studies (49 as fully-printed and 5 as pre-print publications) were included for a total of 1,403,715 individuals. The association between vitamin D status and SARS-CoV2 infection, COVID-19 related hospitalization, COVID-19 related ICU admission, and COVID-19 related mortality was reported in 17, 9, 27, and 35 studies, respectively. Severe deficiency, deficiency and insufficiency of vitamin D were all associated with ICU admission (odds ratio [OR], 95% confidence intervals [95%CIs]: 2.63, 1.45–4.77; 2.16, 1.43–3.26; 2.83, 1.74–4.61, respectively), mortality (OR, 95%CIs: 2.60, 1.93–3.49; 1.84, 1.26–2.69; 4.15, 1.76–9.77, respectively), SARS-CoV-2 infection (OR, 95%CIs: 1.68, 1.32–2.13; 1.83, 1.43–2.33; 1.49, 1.16–1.91, respectively) and COVID-19 hospitalization (OR, 95%CIs 2.51, 1.63–3.85; 2.38, 1.56–3.63; 1.82, 1.43–2.33). Considering specific subgroups (i.e., Caucasian patients, high quality stu

Published
2021

3. Comorbidities, cardiovascular therapies, and COVID-19 mortality: A nationwide, italian observational study (ItaliCO)

Author

Polverino, F, Stern, D, Ruocco, G, Balestro, E, Bassetti, M, Candelli, M, Cirillo, B, Contoli, M, Corsico, A, D'Amico, F, D'Elia, E, Falco, G, Gasparini, S, Guerra, S, Harari, S, Kraft, M, Mennella, L, Papi, A, Parrella, R, Pelosi, P, Poletti, V, Polverino, M, Tana, C, Terribile, R, Woods, J, Di Marco, F, Martinez, F, Zhang, S, Geelhoed, B, Sinning, C, Agarossi, A, Agati, S, Agosteo, E, Ando', F, Andreoni, M, Angelillo, I, Arcoleo, G, Arena, C, Baiamonte, P, Ball, L, Banfi, P, Bartoletti, G, Bartolotta, R, Battaglini, D, Bellan, M, Benzoni, I, Bertolini, R, Bevilacqua, M, Bezzi, M, Bianco, A, Bisbano, A, Bobbio, F, Bocchialini, G, Bonetti, F, Boni, F, Bonifazi, M, Borgonovo, G, Borre', S, Bosio, M, Brachini, G, Brunetti, I, Calagna, L, Calo, F, Capuozzo, A, Carr, T, Castellani, A, Catalano, F, Catania, G, Catena, E, Cattaneo, M, Cattelan, A, Ceruti, V, Chiumiento, F, Cicchitto, G, Confalonieri, M, Confalonieri, P, Coppola, N, Cosentina, R, Costantino, R, Crimi, C, Curra, A, D'Abbraccio, M, Dalbeni, A, Daleffe, F, Davide, R, Del Donno, M, Di Pastena, F, Di Perna, F, Di Rosa, Z, Di Sabatino, A, Elesbani, O, Elia, D, Esposito, V, Fabiani, L, Falo, G, Fanelli, C, Fantin, A, Ferrigno, F, Fiorentino, G, Franceschi, F, Fronza, M, Gardenghi, G, Giacobbe, D, Giannotti, C, Giannotti, G, Gidari, A, Giovanardi, F, Gnerre, P, Gonnelli, F, Graziano, M, Greco, S, Grosso, A, Guarino, S, Iannarelli, A, Imitazione, P, Inglese, F, Iodice, V, Izzo, A, La Greca, C, Lax, A, Legittimo, F, Leo, A, Leone, S, Lepidini, V, Leto, M, Licata, F, Locati, F, Lorini, L, Lucchetti, B, Maida, I, Macera, M, Manzillo, E, March, A, Mascheroni, D, Mastroianni, A, Mauro, I, Mazzitelli, M, Mazzuca, E, Micheletto, C, Mingoli, A, Minuz, P, Moioli, M, Monti, L, Morgagni, R, Mucci, L, Muselli, M, Negri, S, Nobile, C, Oldani, S, Olivieri, C, Parati, G, Parodi, L, Pastorelli, E, Patruno, V, Pellegrino, F, Pengo, M, Pepe, D, Perotti, A, Petrino, R, Petrucci, M, Piane, R, Pignataro, G, Pino, M, Pirisi, M, Porru, F, Pugliese, F, Punzi, R, Ramaroli, D, Robba, C, Rostagno, R, Sabatini, U, Sainaghi, P, Salton, F, Salzano, C, Sanduzzi, A, Zamparelli, S, Sangiovanni, V, Santopuoli, D, Sapienza, P, Sarmati, L, Schiaroli, E, Scienza, F, Senni, M, Serchisu, L, Sgherzi, S, Soddu, D, Soranna, D, Sorino, C, Spadaro, S, Stirpe, E, Tardivo, S, Tartaglia, S, Teopompi, E, Tomchaney, M, Torelli, E, Torlasco, C, Torti, C, Tupputi, E, Ugolinelli, C, Vatrella, A, Versace, A, Villani, M, Vincenzo, L, Volta, C, Voraphani, N, Zekaj, E, Zoppellari, R, Polverino F., Stern D. A., Ruocco G., Balestro E., Bassetti M., Candelli M., Cirillo B., Contoli M., Corsico A., D'Amico F., D'Elia E., Falco G., Gasparini S., Guerra S., Harari S., Kraft M., Mennella L., Papi A., Parrella R., Pelosi P., Poletti V., Polverino M., Tana C., Terribile R., Woods J. C., Di Marco F., Martinez F. D., Zhang S., Geelhoed B., Sinning C., Agarossi A., Agati S., Agosteo E., Ando' F., Andreoni M., Angelillo I. F., Arcoleo G., Arena C., Baiamonte P., Ball L., Banfi P., Bartoletti G., Bartolotta R., Battaglini D., Bellan M., Benzoni I., Bertolini R., Bevilacqua M., Bezzi M., Bianco A., Bisbano A., Bobbio F., Bocchialini G., Bonetti F., Boni F., Bonifazi M., Borgonovo G., Borre' S., Bosio M., Brachini G., Brunetti I., Calagna L., Calo F., Capuozzo A., Carr T., Castellani A., Catalano F., Catania G., Catena E., Cattaneo M., Cattelan A., Ceruti V., Chiumiento F., Cicchitto G., Confalonieri M., Confalonieri P., Coppola N., Cosentina R., Costantino R., Crimi C., Curra A., D'Abbraccio M., Dalbeni A., Daleffe F., Davide R., Del Donno M., Di Pastena F., Di Perna F., Di Rosa Z., Di Sabatino A., Elesbani O., Elia D., Esposito V., Fabiani L., Falo G., Fanelli C., Fantin A., Ferrigno F., Fiorentino G., Franceschi F., Fronza M., Gardenghi G. G., Giacobbe D. R., Giannotti C., Giannotti G., Gidari A., Giovanardi F., Gnerre P., Gonnelli F., Graziano M., Greco S., Grosso A., Guarino S., Iannarelli A., Imitazione P., Inglese F., Iodice V., Izzo A., La Greca C., Lax A., Legittimo F., Leo A., Leone S., Lepidini V., Leto M., Licata F., Locati F., Lorini L., Lucchetti B., Maida I., Macera M., Manzillo E., March A., Mascheroni D., Mastroianni A., Mauro I., Mazzitelli M., Mazzuca E., Micheletto C., Mingoli A., Minuz P., Moioli M., Monti L., Morgagni R., Mucci L., Muselli M., Negri S., Nobile C. G. A., Oldani S., Olivieri C., Parati G., Parodi L., Pastorelli E., Patruno V., Pellegrino F., Pengo M. F., Pepe D., Perotti A., Petrino R., Petrucci M., Piane R. M., Pignataro G., Pino M., Pirisi M., Porru F., Pugliese F., Punzi R., Ramaroli D. A., Robba C., Rostagno R., Sabatini U., Sainaghi P. P., Salton F., Salzano C., Sanduzzi A., Zamparelli S. S., Sangiovanni V., Santopuoli D., Sapienza P., Sarmati L., Schiaroli E., Scienza F., Senni M., Serchisu L., Sgherzi S., Soddu D., Soranna D., Sorino C., Spadaro S., Stirpe E., Tardivo S., Tartaglia S., Teopompi E., Tomchaney M., Torelli E., Torlasco C., Torti C., Tupputi E., Ugolinelli C., Vatrella A., Versace A. G., Villani M., Vincenzo L., Volta C. A., Voraphani N., Zekaj E., Zoppellari R., Polverino, F, Stern, D, Ruocco, G, Balestro, E, Bassetti, M, Candelli, M, Cirillo, B, Contoli, M, Corsico, A, D'Amico, F, D'Elia, E, Falco, G, Gasparini, S, Guerra, S, Harari, S, Kraft, M, Mennella, L, Papi, A, Parrella, R, Pelosi, P, Poletti, V, Polverino, M, Tana, C, Terribile, R, Woods, J, Di Marco, F, Martinez, F, Zhang, S, Geelhoed, B, Sinning, C, Agarossi, A, Agati, S, Agosteo, E, Ando', F, Andreoni, M, Angelillo, I, Arcoleo, G, Arena, C, Baiamonte, P, Ball, L, Banfi, P, Bartoletti, G, Bartolotta, R, Battaglini, D, Bellan, M, Benzoni, I, Bertolini, R, Bevilacqua, M, Bezzi, M, Bianco, A, Bisbano, A, Bobbio, F, Bocchialini, G, Bonetti, F, Boni, F, Bonifazi, M, Borgonovo, G, Borre', S, Bosio, M, Brachini, G, Brunetti, I, Calagna, L, Calo, F, Capuozzo, A, Carr, T, Castellani, A, Catalano, F, Catania, G, Catena, E, Cattaneo, M, Cattelan, A, Ceruti, V, Chiumiento, F, Cicchitto, G, Confalonieri, M, Confalonieri, P, Coppola, N, Cosentina, R, Costantino, R, Crimi, C, Curra, A, D'Abbraccio, M, Dalbeni, A, Daleffe, F, Davide, R, Del Donno, M, Di Pastena, F, Di Perna, F, Di Rosa, Z, Di Sabatino, A, Elesbani, O, Elia, D, Esposito, V, Fabiani, L, Falo, G, Fanelli, C, Fantin, A, Ferrigno, F, Fiorentino, G, Franceschi, F, Fronza, M, Gardenghi, G, Giacobbe, D, Giannotti, C, Giannotti, G, Gidari, A, Giovanardi, F, Gnerre, P, Gonnelli, F, Graziano, M, Greco, S, Grosso, A, Guarino, S, Iannarelli, A, Imitazione, P, Inglese, F, Iodice, V, Izzo, A, La Greca, C, Lax, A, Legittimo, F, Leo, A, Leone, S, Lepidini, V, Leto, M, Licata, F, Locati, F, Lorini, L, Lucchetti, B, Maida, I, Macera, M, Manzillo, E, March, A, Mascheroni, D, Mastroianni, A, Mauro, I, Mazzitelli, M, Mazzuca, E, Micheletto, C, Mingoli, A, Minuz, P, Moioli, M, Monti, L, Morgagni, R, Mucci, L, Muselli, M, Negri, S, Nobile, C, Oldani, S, Olivieri, C, Parati, G, Parodi, L, Pastorelli, E, Patruno, V, Pellegrino, F, Pengo, M, Pepe, D, Perotti, A, Petrino, R, Petrucci, M, Piane, R, Pignataro, G, Pino, M, Pirisi, M, Porru, F, Pugliese, F, Punzi, R, Ramaroli, D, Robba, C, Rostagno, R, Sabatini, U, Sainaghi, P, Salton, F, Salzano, C, Sanduzzi, A, Zamparelli, S, Sangiovanni, V, Santopuoli, D, Sapienza, P, Sarmati, L, Schiaroli, E, Scienza, F, Senni, M, Serchisu, L, Sgherzi, S, Soddu, D, Soranna, D, Sorino, C, Spadaro, S, Stirpe, E, Tardivo, S, Tartaglia, S, Teopompi, E, Tomchaney, M, Torelli, E, Torlasco, C, Torti, C, Tupputi, E, Ugolinelli, C, Vatrella, A, Versace, A, Villani, M, Vincenzo, L, Volta, C, Voraphani, N, Zekaj, E, Zoppellari, R, Polverino F., Stern D. A., Ruocco G., Balestro E., Bassetti M., Candelli M., Cirillo B., Contoli M., Corsico A., D'Amico F., D'Elia E., Falco G., Gasparini S., Guerra S., Harari S., Kraft M., Mennella L., Papi A., Parrella R., Pelosi P., Poletti V., Polverino M., Tana C., Terribile R., Woods J. C., Di Marco F., Martinez F. D., Zhang S., Geelhoed B., Sinning C., Agarossi A., Agati S., Agosteo E., Ando' F., Andreoni M., Angelillo I. F., Arcoleo G., Arena C., Baiamonte P., Ball L., Banfi P., Bartoletti G., Bartolotta R., Battaglini D., Bellan M., Benzoni I., Bertolini R., Bevilacqua M., Bezzi M., Bianco A., Bisbano A., Bobbio F., Bocchialini G., Bonetti F., Boni F., Bonifazi M., Borgonovo G., Borre' S., Bosio M., Brachini G., Brunetti I., Calagna L., Calo F., Capuozzo A., Carr T., Castellani A., Catalano F., Catania G., Catena E., Cattaneo M., Cattelan A., Ceruti V., Chiumiento F., Cicchitto G., Confalonieri M., Confalonieri P., Coppola N., Cosentina R., Costantino R., Crimi C., Curra A., D'Abbraccio M., Dalbeni A., Daleffe F., Davide R., Del Donno M., Di Pastena F., Di Perna F., Di Rosa Z., Di Sabatino A., Elesbani O., Elia D., Esposito V., Fabiani L., Falo G., Fanelli C., Fantin A., Ferrigno F., Fiorentino G., Franceschi F., Fronza M., Gardenghi G. G., Giacobbe D. R., Giannotti C., Giannotti G., Gidari A., Giovanardi F., Gnerre P., Gonnelli F., Graziano M., Greco S., Grosso A., Guarino S., Iannarelli A., Imitazione P., Inglese F., Iodice V., Izzo A., La Greca C., Lax A., Legittimo F., Leo A., Leone S., Lepidini V., Leto M., Licata F., Locati F., Lorini L., Lucchetti B., Maida I., Macera M., Manzillo E., March A., Mascheroni D., Mastroianni A., Mauro I., Mazzitelli M., Mazzuca E., Micheletto C., Mingoli A., Minuz P., Moioli M., Monti L., Morgagni R., Mucci L., Muselli M., Negri S., Nobile C. G. A., Oldani S., Olivieri C., Parati G., Parodi L., Pastorelli E., Patruno V., Pellegrino F., Pengo M. F., Pepe D., Perotti A., Petrino R., Petrucci M., Piane R. M., Pignataro G., Pino M., Pirisi M., Porru F., Pugliese F., Punzi R., Ramaroli D. A., Robba C., Rostagno R., Sabatini U., Sainaghi P. P., Salton F., Salzano C., Sanduzzi A., Zamparelli S. S., Sangiovanni V., Santopuoli D., Sapienza P., Sarmati L., Schiaroli E., Scienza F., Senni M., Serchisu L., Sgherzi S., Soddu D., Soranna D., Sorino C., Spadaro S., Stirpe E., Tardivo S., Tartaglia S., Teopompi E., Tomchaney M., Torelli E., Torlasco C., Torti C., Tupputi E., Ugolinelli C., Vatrella A., Versace A. G., Villani M., Vincenzo L., Volta C. A., Voraphani N., Zekaj E., and Zoppellari R.

Abstract

Background: Italy has one of the world’s oldest populations, and suffered one the highest death tolls from Coronavirus disease 2019 (COVID-19) worldwide. Older people with cardiovascular diseases (CVDs), and in particular hypertension, are at higher risk of hospitalization and death for COVID-19. Whether hypertensionmedicationsmay increase the risk for death in older COVID 19 inpatients at the highest risk for the disease is currently unknown. Methods: Data from 5,625 COVID-19 inpatients were manually extracted from medical charts from 61 hospitals across Italy. From the initial 5,625 patients, 3,179 were included in the study as they were either discharged or deceased at the time of the data analysis. Primary outcome was inpatient death or recovery. Mixed effects logistic regression models were adjusted for sex, age, and number of comorbidities, with a random effect for site. Results: A large proportion of participating inpatients were ≥65 years old (58%), male (68%), non-smokers (93%) with comorbidities (66%). Each additional comorbidity increased the risk of death by 35% [adjOR = 1.35 (1.2, 1.5) p < 0.001]. Use of ACE inhibitors, ARBs, beta-blockers or Ca-antagonists was not associated with significantly increased risk of death. There was a marginal negative association between ARB use and death, and a marginal positive association between diuretic use and death. Conclusions: This Italian nationwide observational study of COVID-19 inpatients, the majority of which ≥65 years old, indicates that there is a linear direct relationship between the number of comorbidities and the risk of death. Among CVDs, hypertension and pre-existing cardiomyopathy were significantly associated with risk of death. The use of hypertension medications reported to be safe in younger cohorts, do not contribute significantly to increased COVID-19 related deaths in an older population that suffered one of the highest death tolls worldwide.

Published
2020

4. Comorbidities, cardiovascular therapies, and COVID-19 mortality: A nationwide, italian observational study (ItaliCO)

Author

Polverino, F., Phd, Md, Stern, D., Polverino, M., D'Amico, F., D'Elia, E., Agarossi, A., Agati, S., Agosteo, E., Ando', F., Andreoni, M., Angelillo, If., Dds, Mph, Arcoleo, G., Arena, C., Baiamonte, P., Balestro, E., Ball, L., Banfi, P., Bartoletti, G., Bartolotta, R., Bassetti, M., Battaglini, D., Bellan, M., Benzoni, I., Bertolini, R., Bevilacqua, M., Bezzi, M., Bianco, A., Bisbano, A., Bobbio, F., Bocchialini, G., Bonetti, F., Boni, F., Bonifazi, M., Borgonovo, G., Borre', S., Bosio, M., Brachini, G., Brunetti, I., Calagna, L., Calò, F., Candelli, M., Capuozzo, A., Carr, T., Castellani, A., Catalano, F., Catania, G., Catena, E., Cattaneo, M., Cattelan, A., Ceruti, V., Chiumiento, F., Cicchitto, G., Cirillo, B., Confalonieri, M., Confalonieri, P., Contoli, M., Coppola, N., Corsico, A., Cosentina, R., Costantino, R., Crimi, C., Currà, A., D'Abbraccio, M., Dalbeni, A., Daleffe, F., Davide, R., Del Donno, M., Di Marco, F., Di Pastena, F., Di Perna, F., Di Rosa, Z., Di Sabatino, A., Elesbani, O., Elia, D., Esposito, V., Fabiani, L., Falco, G., Falo, G., Fanelli, C., Fantin, A., Ferrigno, F., Fiorentino, G., Franceschi, F., Fronza, M., Gardini Gardenghi, G., Gasparini, S., Giacobbe, D. R., Giannotti, C., Giannotti, G., Gidari, A., Giovanardi, F., Gnerre, P., Gonnelli, F., Graziano, M., Greco, S., Grosso, A., Phd, Guarino, S., Guerra, S., Harari, S., Iannarelli, A., Imitazione, P., Inglese, F., Iodice, V., Izzo, A., La Greca, C., Kraft, M., Lax, A., Legittimo, F., Leo, A., Leone, S., Lepidini, V., Leto, M., Licata, F., Locati, F., Lorini, L., Lucchetti, B., Maida, I., Macera, M., Manzillo, E., March, A., Mascheroni, D., Mastroianni, A., Mauro, I., Mazzitelli, M., Mazzuca, E., Mennella, L., Micheletto, C., Mingoli, A., Minuz, P., Moioli, M., Monti, L., Morgagni, R., Mucci, L., Muselli, M., Negri, S., Nobile, C. G. A., Oldani, S., Olivieri, C., Papi, A., Parati, G., Parodi, L., Parrella, R., Pastorelli, E., Patruno, V., Pellegrino, F., Pelosi, P., Fers, Md, Pengo, M. F., Pepe, D., Perotti, A., Petrino, R., Petrucci, M., Piane, R. M., Pignataro, G., Pino, M., Pirisi, M., Poletti, V., Porru, F., Pugliese, F., Punzi, R., Ramaroli, D. A., Robba, C., Rostagno, R., Ruocco, G., Sabatini, U., Sainaghi, P. P., Salton, F., Salzano, C., Sanduzzi, A., Sanduzzi Zamparelli, S., Sangiovanni, V., Santopuoli, D., Sapienza, P., Sarmati, L., Schiaroli, E., Scienza, F., Senni, M., Serchisu, L., Sgherzi, S., Soddu, D., Soranna, D., Sorino, C., Spadaro, S., Stirpe, E., Tana, C., Tardivo, S., Tartaglia, S., Teopompi, E., Terribile, R., Tomchaney, M., Torelli, E., Torlasco, C., Torti, C., Tupputi, E., Ugolinelli, C., Vatrella, A., Versace, A. G., Villani, M., Vincenzo, L., Volta, C. A., Voraphani, N., Woods, J. C., Zekaj, E., Zoppellari, R., Martinez, and F. D., Polverino, Francesca, Stern, Debra A, Ruocco, Gaetano, Balestro, Elisabetta, Bassetti, Matteo, Candelli, Marcello, Cirillo, Bruno, Contoli, Marco, Corsico, Angelo, D'Amico, Filippo, D'Elia, Emilia, Falco, Giuseppe, Gasparini, Stefano, Guerra, Stefano, Harari, Sergio, Kraft, Monica, Mennella, Luigi, Papi, Alberto, Parrella, Roberto, Pelosi, Paolo, Poletti, Venerino, Polverino, Mario, Tana, Claudio, Terribile, Roberta, Woods, Jason C, Di Marco, Fabiano, Martinez, Fernando D, Angelillo, Italo Francesco, Stern, Debra A., C Woods, Jason, Martinez, Fernando D., Polverino, F., Stern, D., Polverino, M., D'Amico, F., D'Elia, E., Agarossi, A., Agati, S., Agosteo, E., Ando', F., Andreoni, M., Angelillo, If., Arcoleo, G., Arena, C., Baiamonte, P., Balestro, E., Ball, L., Banfi, P., Bartoletti, G., Bartolotta, R., Bassetti, M., Battaglini, D., Bellan, M., Benzoni, I., Bertolini, R., Bevilacqua, M., Bezzi, M., Bianco, A., Bisbano, A., Bobbio, F., Bocchialini, G., Bonetti, F., Boni, F., Bonifazi, M., Borgonovo, G., Borre', S., Bosio, M., Brachini, G., Brunetti, I., Calagna, L., Calò, F., Candelli, M., Capuozzo, A., Carr, T., Castellani, A., Catalano, F., Catania, G., Catena, E., Cattaneo, M., Cattelan, A., Ceruti, V., Chiumiento, F., Cicchitto, G., Cirillo, B., Confalonieri, M., Confalonieri, P., Contoli, M., Coppola, N., Corsico, A., Cosentina, R., Costantino, R., Crimi, C., Currà, A., D'Abbraccio, M., Dalbeni, A., Daleffe, F., Davide, R., Del Donno, M., Di Marco, F., Di Pastena, F., Di Perna, F., Di Rosa, Z., Di Sabatino, A., Elesbani, O., Elia, D., Esposito, V., Fabiani, L., Falco, G., Falo, G., Fanelli, C., Fantin, A., Ferrigno, F., Fiorentino, G., Franceschi, F., Fronza, M., Gardini Gardenghi, G., Gasparini, S., Giacobbe, D. R., Giannotti, C., Giannotti, G., Gidari, A., Giovanardi, F., Gnerre, P., Gonnelli, F., Graziano, M., Greco, S., Grosso, A., Guarino, S., Guerra, S., Harari, S., Iannarelli, A., Imitazione, P., Inglese, F., Iodice, V., Izzo, A., La Greca, C., Kraft, M., Lax, A., Legittimo, F., Leo, A., Leone, S., Lepidini, V., Leto, M., Licata, F., Locati, F., Lorini, L., Lucchetti, B., Maida, I., Macera, M., Manzillo, E., March, A., Mascheroni, D., Mastroianni, A., Mauro, I., Mazzitelli, M., Mazzuca, E., Mennella, L., Micheletto, C., Mingoli, A., Minuz, P., Moioli, M., Monti, L., Morgagni, R., Mucci, L., Muselli, M., Negri, S., Nobile, C. G. A., Oldani, S., Olivieri, C., Papi, A., Parati, G., Parodi, L., Parrella, R., Pastorelli, E., Patruno, V., Pellegrino, F., Pelosi, P., Pengo, M. F., Pepe, D., Perotti, A., Petrino, R., Petrucci, M., Piane, R. M., Pignataro, G., Pino, M., Pirisi, M., Poletti, V., Porru, F., Pugliese, F., Punzi, R., Ramaroli, D. A., Robba, C., Rostagno, R., Ruocco, G., Sabatini, U., Sainaghi, P. P., Salton, F., Salzano, C., Sanduzzi, A., Sanduzzi Zamparelli, S., Sangiovanni, V., Santopuoli, D., Sapienza, P., Sarmati, L., Schiaroli, E., Scienza, F., Senni, M., Serchisu, L., Sgherzi, S., Soddu, D., Soranna, D., Sorino, C., Spadaro, S., Stirpe, E., Tana, C., Tardivo, S., Tartaglia, S., Teopompi, E., Terribile, R., Tomchaney, M., Torelli, E., Torlasco, C., Torti, C., Tupputi, E., Ugolinelli, C., Vatrella, A., Versace, A. G., Villani, M., Vincenzo, L., Volta, C. A., Voraphani, N., Woods, J. C., Zekaj, E., Zoppellari, R., Martinez, F. D., Public Health, Polverino, F, Stern, D, Ruocco, G, Balestro, E, Bassetti, M, Candelli, M, Cirillo, B, Contoli, M, Corsico, A, D'Amico, F, D'Elia, E, Falco, G, Gasparini, S, Guerra, S, Harari, S, Kraft, M, Mennella, L, Papi, A, Parrella, R, Pelosi, P, Poletti, V, Polverino, M, Tana, C, Terribile, R, Woods, J, Di Marco, F, Martinez, F, Zhang, S, Geelhoed, B, Sinning, C, Agarossi, A, Agati, S, Agosteo, E, Ando', F, Andreoni, M, Angelillo, I, Arcoleo, G, Arena, C, Baiamonte, P, Ball, L, Banfi, P, Bartoletti, G, Bartolotta, R, Battaglini, D, Bellan, M, Benzoni, I, Bertolini, R, Bevilacqua, M, Bezzi, M, Bianco, A, Bisbano, A, Bobbio, F, Bocchialini, G, Bonetti, F, Boni, F, Bonifazi, M, Borgonovo, G, Borre', S, Bosio, M, Brachini, G, Brunetti, I, Calagna, L, Calo, F, Capuozzo, A, Carr, T, Castellani, A, Catalano, F, Catania, G, Catena, E, Cattaneo, M, Cattelan, A, Ceruti, V, Chiumiento, F, Cicchitto, G, Confalonieri, M, Confalonieri, P, Coppola, N, Cosentina, R, Costantino, R, Crimi, C, Curra, A, D'Abbraccio, M, Dalbeni, A, Daleffe, F, Davide, R, Del Donno, M, Di Pastena, F, Di Perna, F, Di Rosa, Z, Di Sabatino, A, Elesbani, O, Elia, D, Esposito, V, Fabiani, L, Falo, G, Fanelli, C, Fantin, A, Ferrigno, F, Fiorentino, G, Franceschi, F, Fronza, M, Gardenghi, G, Giacobbe, D, Giannotti, C, Giannotti, G, Gidari, A, Giovanardi, F, Gnerre, P, Gonnelli, F, Graziano, M, Greco, S, Grosso, A, Guarino, S, Iannarelli, A, Imitazione, P, Inglese, F, Iodice, V, Izzo, A, La Greca, C, Lax, A, Legittimo, F, Leo, A, Leone, S, Lepidini, V, Leto, M, Licata, F, Locati, F, Lorini, L, Lucchetti, B, Maida, I, Macera, M, Manzillo, E, March, A, Mascheroni, D, Mastroianni, A, Mauro, I, Mazzitelli, M, Mazzuca, E, Micheletto, C, Mingoli, A, Minuz, P, Moioli, M, Monti, L, Morgagni, R, Mucci, L, Muselli, M, Negri, S, Nobile, C, Oldani, S, Olivieri, C, Parati, G, Parodi, L, Pastorelli, E, Patruno, V, Pellegrino, F, Pengo, M, Pepe, D, Perotti, A, Petrino, R, Petrucci, M, Piane, R, Pignataro, G, Pino, M, Pirisi, M, Porru, F, Pugliese, F, Punzi, R, Ramaroli, D, Robba, C, Rostagno, R, Sabatini, U, Sainaghi, P, Salton, F, Salzano, C, Sanduzzi, A, Zamparelli, S, Sangiovanni, V, Santopuoli, D, Sapienza, P, Sarmati, L, Schiaroli, E, Scienza, F, Senni, M, Serchisu, L, Sgherzi, S, Soddu, D, Soranna, D, Sorino, C, Spadaro, S, Stirpe, E, Tardivo, S, Tartaglia, S, Teopompi, E, Tomchaney, M, Torelli, E, Torlasco, C, Torti, C, Tupputi, E, Ugolinelli, C, Vatrella, A, Versace, A, Villani, M, Vincenzo, L, Volta, C, Voraphani, N, Zekaj, E, and Zoppellari, R

Subjects
0301 basic medicine, COVID-19, comorbidities, ACE inhibitors, mortality, cohort study, medicine.medical_specialty, comorbiditie, lcsh:Diseases of the circulatory (Cardiovascular) system, ACE inhibitors, Coronavirus disease 2019 (COVID-19), COVID-19, cohort study, comorbidities, mortality, Cardiomyopathy, Socio-culturale, Disease, 030204 cardiovascular system & hematology, Cardiovascular Medicine, Logistic regression, Older population, Comorbidities, 03 medical and health sciences, 0302 clinical medicine, SDG 3 - Good Health and Well-being, Internal medicine, ACE inhibitor, medicine, Mortality, Original Research, business.industry, Cohort study, medicine.disease, Comorbidity, 030104 developmental biology, lcsh:RC666-701, Observational study, Erratum, Cardiology and Cardiovascular Medicine, business
Abstract

Background: Italy has one of the world’s oldest populations, and suffered one the highest death tolls from Coronavirus disease 2019 (COVID-19) worldwide. Older people with cardiovascular diseases (CVDs), and in particular hypertension, are at higher risk of hospitalization and death for COVID-19. Whether hypertensionmedicationsmay increase the risk for death in older COVID 19 inpatients at the highest risk for the disease is currently unknown. Methods: Data from 5,625 COVID-19 inpatients were manually extracted from medical charts from 61 hospitals across Italy. From the initial 5,625 patients, 3,179 were included in the study as they were either discharged or deceased at the time of the data analysis. Primary outcome was inpatient death or recovery. Mixed effects logistic regression models were adjusted for sex, age, and number of comorbidities, with a random effect for site. Results: A large proportion of participating inpatients were ≥65 years old (58%), male (68%), non-smokers (93%) with comorbidities (66%). Each additional comorbidity increased the risk of death by 35% [adjOR = 1.35 (1.2, 1.5) p < 0.001]. Use of ACE inhibitors, ARBs, beta-blockers or Ca-antagonists was not associated with significantly increased risk of death. There was a marginal negative association between ARB use and death, and a marginal positive association between diuretic use and death. Conclusions: This Italian nationwide observational study of COVID-19 inpatients, the majority of which ≥65 years old, indicates that there is a linear direct relationship between the number of comorbidities and the risk of death. Among CVDs, hypertension and pre-existing cardiomyopathy were significantly associated with risk of death. The use of hypertension medications reported to be safe in younger cohorts, do not contribute significantly to increased COVID-19 related deaths in an older population that suffered one of the highest death tolls worldwide.

Published
2020

5. Analysis of predictive equations for estimating resting energy expenditure in a large cohort of morbidly obese patients

Author

Cancello, R, Soranna, D, Brunani, A, Scacchi, M, Tagliaferri, A, Mai, S, Marzullo, P, Zambon, A, Invitti, C, Cancello, Raffaella, Soranna, Davide, Brunani, Amelia, Scacchi, Massimo, Tagliaferri, Antonella, Mai, Stefania, Marzullo, Paolo, Zambon, Antonella, Invitti, Cecilia, Cancello, R, Soranna, D, Brunani, A, Scacchi, M, Tagliaferri, A, Mai, S, Marzullo, P, Zambon, A, Invitti, C, Cancello, Raffaella, Soranna, Davide, Brunani, Amelia, Scacchi, Massimo, Tagliaferri, Antonella, Mai, Stefania, Marzullo, Paolo, Zambon, Antonella, and Invitti, Cecilia

Abstract

The treatment of obesity requires creating an energy deficit through caloric restriction and physical activity. Energy needs are estimated assessing the resting energy expenditure (REE) that in the clinical practice is estimated using predictive equations. In the present cross sectional study, we compared, in a large cohort of morbidly obese patients, the accuracy of REE predictive equations recommended by current obesity guidelines [Harris-Benedict, WHO/FAO/ONU and Mifflin-St Jeor (MJ)] and/or developed for obese patients (Muller, Muller BC, Lazzer, Lazzer BC), focusing on the effect of comorbidities on the accuracy of the equations. Data on REE measured by indirect calorimetry and body composition were collected in 4,247 obese patients (69% women, mean age 48 ± 19 years, mean BMI 44 ± 7 Kg/m2) admitted to the Istituto Auxologico Italiano from 1999 to 2014. The performance of the equations was assessed in the whole cohort, in 4 groups with 0, 1, 2, or =≥3 comorbidities and in a subgroup of 1,598 patients with 1 comorbidity (47.1% hypertension, 16.7% psychiatric disorders, 13.3% binge eating disorders, 6.1% endocrine disorders, 6.4% type 2 diabetes, 3.5% sleep apnoea, 3.1% dyslipidemia, 2.5% coronary disease). In the whole cohort of obese patients, as well as in each stratum of comorbidity number, the MJ equation had the highest performance for agreement measures and bias. The MJ equation had the best performance in obese patients with ≥3 comorbidities (accuracy of 61.1%, bias of -89.87) and in patients with type 2 diabetes and sleep apnoea (accuracy/bias 69%/-19.17 and 66%/-21.67 respectively), who also have the highest levels of measured REE. In conclusion, MJ equation should be preferred to other equations to estimate the energy needs of Caucasian morbidly obese patients when measurement of the REE cannot be performed. As even MJ equation does not precisely predict REE, it should be better to plan the diet intervention by measuring rather than estimating REE. Fut

Published
2018

6. Impact of severe secondary tricuspid regurgitation on rest and exercise hemodynamics of patients with heart failure and a preserved left ventricular ejection fraction

Author

Claudia Baratto, Sergio Caravita, Giorgia Corbetta, Davide Soranna, Antonella Zambon, Céline Dewachter, Mara Gavazzoni, Francesca Heilbron, Michele Tomaselli, Noela Radu, Francesco Paolo Perelli, Giovanni Battista Perego, Jean-Luc Vachiéry, Gianfranco Parati, Luigi P. Badano, Denisa Muraru, Baratto, C, Caravita, S, Corbetta, G, Soranna, D, Zambon, A, Dewachter, C, Gavazzoni, M, Heilbron, F, Tomaselli, M, Radu, N, Perelli, F, Perego, G, Vachiery, J, Parati, G, Badano, L, and Muraru, D

Subjects
exercise, hemodynamic, right heart catheterization, MED/11 - MALATTIE DELL'APPARATO CARDIOVASCOLARE, Cardiology and Cardiovascular Medicine, heart failure with preserved ejection faction, oxygen consumption, tricuspid regurgitation
Abstract

BackgroundBoth secondary tricuspid regurgitation (STR) and heart failure with preserved ejection fraction (HFpEF) are relevant public health problems in the elderly population, presenting with potential overlaps and sharing similar risk factors. However, the impact of severe STR on hemodynamics and cardiorespiratory adaptation to exercise in HFpEF remains to be clarified.AimTo explore the impact of STR on exercise hemodynamics and cardiorespiratory adaptation in HFpEF.MethodsWe analyzed invasive hemodynamics and gas-exchange data obtained at rest and during exercise from HFpEF patients with severe STR (HFpEF-STR), compared with 1:1 age-, sex-, and body mass index (BMI)- matched HFpEF patients with mild or no STR (HFpEF-controls).ResultsTwelve HFpEF with atrial-STR (mean age 72 years, 92% females, BMI 28 Kg/m2) and 12 HFpEF-controls patients were analyzed. HFpEF-STR had higher (p < 0.01) right atrial pressure than HFpEF-controls both at rest (10 ± 1 vs. 5 ± 1 mmHg) and during exercise (23 ± 2 vs. 14 ± 2 mmHg). Despite higher pulmonary artery wedge pressure (PAWP) at rest in HFpEF-STR than in HFpEF-controls (17 ± 2 vs. 11 ± 2, p = 0.04), PAWP at peak exercise was no more different (28 ± 2 vs. 29 ± 2). Left ventricular transmural pressure and cardiac output (CO) increased less in HFpEF-STR than in HFpEF-controls (interaction p-value < 0.05). This latter was due to lower stroke volume (SV) values both at rest (48 ± 9 vs. 77 ± 9 mL, p < 0.05) and at peak exercise (54 ± 10 vs. 93 ± 10 mL, p < 0.05). Despite these differences, the two groups of patients laid on the same oxygen consumption isophlets because of the increased peripheral oxygen extraction in HFpEF-STR (p < 0.01). We found an inverse relationship between pulmonary vascular resistance and SV, both at rest and at peak exercise (R2 = 0.12 and 0.19, respectively).ConclusionsSevere STR complicating HFpEF impairs SV and CO reserve, leading to pulmonary vascular de-recruitment and relative left heart underfilling, undermining the typical HFpEF pathophysiology.

Published
2023

7. Analysis of predictive equations for estimating resting energy expenditure in a large cohort of morbidly obese patients

Author

Raffaella Cancello, Davide Soranna, Amelia Brunani, Massimo Scacchi, Antonella Tagliaferri, Stefania Mai, Paolo Marzullo, Antonella Zambon, Cecilia Invitti, Cancello, R, Soranna, D, Brunani, A, Scacchi, M, Tagliaferri, A, Mai, S, Marzullo, P, Zambon, A, and Invitti, C

Subjects
0301 basic medicine, Pediatrics, medicine.medical_specialty, Cross-sectional study, Endocrinology, Diabetes and Metabolism, 030209 endocrinology & metabolism, Type 2 diabetes, Indirect calorimetry, comorbidities, lcsh:Diseases of the endocrine glands. Clinical endocrinology, REE predictive equations, 03 medical and health sciences, 0302 clinical medicine, Endocrinology, medicine, Resting energy expenditure, Obesity, Original Research, lcsh:RC648-665, 030109 nutrition & dietetics, Binge eating, business.industry, medicine.disease, Comorbidity, REE predictive equation, Cohort, Comorbiditie, medicine.symptom, business, Dyslipidemia
Abstract

The treatment of obesity requires creating an energy deficit through caloric restriction and physical activity. Energy needs are estimated assessing the resting energy expenditure (REE) that in the clinical practice is estimated using predictive equations. In the present cross sectional study, we compared, in a large cohort of morbidly obese patients, the accuracy of REE predictive equations recommended by current obesity guidelines [Harris-Benedict, WHO/FAO/ONU and Mifflin-St Jeor (MJ)] and/or developed for obese patients (Muller, Muller BC, Lazzer, Lazzer BC), focusing on the effect of comorbidities on the accuracy of the equations. Data on REE measured by indirect calorimetry and body composition were collected in 4,247 obese patients (69% women, mean age 48 ± 19 years, mean BMI 44 ± 7 Kg/m2) admitted to the Istituto Auxologico Italiano from 1999 to 2014. The performance of the equations was assessed in the whole cohort, in 4 groups with 0, 1, 2, or ≥ 3 comorbidities and in a subgroup of 1,598 patients with 1 comorbidity (47.1% hypertension, 16.7% psychiatric disorders, 13.3% binge eating disorders, 6.1% endocrine disorders, 6.4% type 2 diabetes, 3.5% sleep apnoea, 3.1% dyslipidemia, 2.5% coronary disease). In the whole cohort of obese patients, as well as in each stratum of comorbidity number, the MJ equation had the highest performance for agreement measures and bias. The MJ equation had the best performance in obese patients with ≥3 comorbidities (accuracy of 61.1%, bias of −89.87) and in patients with type 2 diabetes and sleep apnoea (accuracy/bias 69%/−19.17 and 66%/−21.67 respectively), who also have the highest levels of measured REE. In conclusion, MJ equation should be preferred to other equations to estimate the energy needs of Caucasian morbidly obese patients when measurement of the REE cannot be performed. As even MJ equation does not precisely predict REE, it should be better to plan the diet intervention by measuring rather than estimating REE. Future studies focusing on the clinical differences that determine the high inter-individual variability of the precision of the REE predictive equations (e.g., on the organ-tissue metabolic rate), could help to develop predictive equations with a better performance.

Published
2018

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