314 results on '"Puddu PE"'
Search Results
2. P128Ellagic acid reduces L-type Ca2+ current and induces negative inotropy through NO-GC-cGMP pathway in rat ventricular myocytes
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Ozdemir, S, Olgar, Y, Ozturk, N, Usta, C, and Puddu, PE
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- 2014
- Full Text
- View/download PDF
3. Poster session Wednesday 11 December all day display: 11/12/2013, 09: 30–16: 00Location: Poster area
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Evangelista, A, Torromeo, C, Pandian, NG, Nardinocchi, P, Varano, V, Schiariti, M, Teresi, L, and Puddu, PE
- Published
- 2013
4. Comparison of Early Versus Delayed Oral beta Blockers in Acute Coronary Syndromes and Effect on Outcomes
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Bugiardini, R, Cenko, E, Ricci, B, Vasiljevic, Z, Dorobantu, M, Kedev, S, Vavlukis, M, Kalpak, O, Puddu, PE, Gustiene, O, Trninic, D, Knezevic, B, Milicic, D, Gale, CP, Manfrini, O, Koller, A, and Badimon, L
- Abstract
The aim of this study was to determine if earlier administration of oral blocker therapy in patients with acute coronary syndromes (ACSs) is associated with an increased short-term survival rate and improved left ventricular (LV) function. We studied 11,581 patients enrolled in the International Survey of Acute Coronary Syndromes in Transitional Countries registry from January 2010 to June 2014. Of these patients, 6,117 were excluded as they received intravenous beta blockers or remained free of any beta blocker treatment during hospital stay, 23 as timing of oral beta blocker administration was unknown, and 182 patients because they died before oral beta blockers could be given. The final study population comprised 5,259 patients. The primary outcome was the incidence of in-hospital mortality. The secondary outcome was the incidence of severe LV dysfunction defined as an ejection fraction 24 hours) during hospital stay in the remaining 3,882 patients. Early beta blocker therapy was significantly associated with reduced in-hospital mortality (odds ratio 0.41, 95% CI 0:21 to 0.80) and reduced incidence of severe LV dysfunction (odds ratio 0.57, 95% CI 0.42 to 0.78). Significant mortality benefits with early beta blocker therapy disappeared when patients with Killip class III/IV were included as dummy variables. The results were confirmed by propensity score matched analyses. In conclusion, in patients with ACSs, earlier administration of oral beta blocker therapy should be a priority with a greater probability of improving LV function and in-hospital survival rate. Patients presenting with acute pulmonary edema or cardiogenic shock should be excluded from this early treatment regimen. (C) 2016 Elsevier Inc. All rights reserved.
- Published
- 2016
5. Molecular myocardial injury biomarkers in acute stroke: prognostic significance of troponin I changes
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Lorenzano, S, Caso, P, Giannuzzi, S, Puddu, Pe, Strano, S, and Toni, D
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- 2014
6. Insight into the pathophysiological mechanisms underlying heart and brain interaction: clinical, neuroimaging, and pharmacological predictors of troponin I elevation in acute stroke
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Lorenzano, S, Caso, P, Giannuzzi, S, Puddu, Pe, Strano, S, and Toni, D
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- 2014
7. Peer Review #1 of "The impact of serum uric acid on the natural history of glomerular filtration rate: a retrospective study in the general population (v0.2)"
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Puddu, PE, additional
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- 2016
- Full Text
- View/download PDF
8. Serum uric acid for short-term prediction of cardiovascular disease incidence in the Gubbio population Study
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PUDDU PE, LANTI M, MENOTTI A, MANCINI M, ZANCHETTI A, CIRILLO, Massimo, ANGELETTI M, PANARELLI W, GUBBIO STUDY RESEARCH GROUP, Puddu, Pe, Lanti, M, Menotti, A, Mancini, M, Zanchetti, A, Cirillo, Massimo, Angeletti, M, Panarelli, W, and GUBBIO STUDY RESEARCH, Group
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Adult ,Male ,medicine.medical_specialty ,Gastroenterology ,Cohort Studies ,chemistry.chemical_compound ,Predictive Value of Tests ,Risk Factors ,Internal medicine ,Epidemiology ,medicine ,Humans ,Risk factor ,Aged ,Proportional Hazards Models ,business.industry ,Vascular disease ,Incidence ,Incidence (epidemiology) ,Serum uric acid ,General Medicine ,Middle Aged ,medicine.disease ,Italian population ,Uric Acid ,Surgery ,Italy ,chemistry ,Cardiovascular Diseases ,Population study ,Uric acid ,Female ,Cardiology and Cardiovascular Medicine ,business - Abstract
The Gubbio Study is an Italian population study measuring risk factors for and incidence of major cardiovascular diseases. This analysis investigates the association of serum uric acid with the incidence of coronary and cardiovascular events.A population sample of 2469 men and women aged 35-74 years, free from major cardiovascular diseases and in whom serum uric acid was measured in 1983 along with other standard risk factors, were followed up for 6 years and the incidence of coronary heart disease (CHD) and all cardiovascular atherosclerotic (CVD) events, both fatal and non-fatal, was computed. Proportional hazards models were used for the prediction of these events.In six years 61 CHD hard criteria, 109 CHD any criterion and 149 CVD events were recorded. Age-adjusted rates per 1000 of the 3 event categories were computed in sex-specific quintiles (Q) of serum uric acid with 428 +/- 76 (Q5) and 198 +/- 42 (Q1) micromol/l, respectively. Although higher rates were seen in Q5 as compared to Q1 for all three first event categories considered (relative risks 6.2, 3.6 and 3.7, respectively), a statistically significant trend was seen only for CVD all criteria (t = 3.63, p0.036). These trends were borderline significant for CHD any criterion (t = 2.92, p0.06) and not significant for CHD hard criteria (t = 2.23, p0.11). In multivariate models, adjusted for 8 other risk factors, serum uric acid showed a statistically significant contribution to predict CVD incidence [relative risk (RR) for 92 micromol/l difference of 1.24 with 95% confidence intervals (CI) 1.05-1.45], whereas the statistical contribution to predict CHD any criterion (RR = 1.19 with CI 0.98-1.45) and CHD hard criteria (RR = 1.20 with CI 0.93-1.55) was not significant. Diuretic treatment and blood urea, as further confounders, were positively and significantly related to event incidence (RR ranging from 1.21 to 2.00) but serum uric acid maintained its independent and statistically significant role in the prediction of CVD events (RR = 1.18 with CI 1.00-1.39). Presence of specific treatments to lower serum uric acid levels (in 1.13% of the population), tested as final confounders, was not statistically contributory.Increased serum uric acid levels are independently and significantly associated with risk of CVD events in the 6-year follow-up of the Gubbio Study. Longer follow-up is needed before the contributory role of serum uric acid can be properly assessed to explain CHD incidence.
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- 2001
9. Ultrasound Tissue Characterization Does Not Differentiate Genotype, But Indexes Ejection Fraction Deterioration in Becker Muscular Dystrophy
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Giglio, V, Puddu, Pe, Holland, Mr, Camastra, G, Ansalone, G, Ricci, Enzo, Mela, J, Sciarra, F, Di Gennaro, M., Ricci, Enzo (ORCID:0000-0003-3092-3597), Giglio, V, Puddu, Pe, Holland, Mr, Camastra, G, Ansalone, G, Ricci, Enzo, Mela, J, Sciarra, F, Di Gennaro, M., and Ricci, Enzo (ORCID:0000-0003-3092-3597)
- Abstract
The aims of the study were, first, to assess whether myocardial ultrasound tissue characterization (UTC) in Becker muscular dystrophy (BMD) can be used to differentiate between patients with deletions and those without deletions; and second, to determine whether UTC is helpful in diagnosing the evolution of left ventricular dysfunction, a precursor of dilated cardiomyopathy. Both cyclic variation of integrated backscatter and calibrated integrated backscatter (cIBS) were assessed in 87 patients with BMD and 70 controls. The average follow-up in BMD patients was 48 ± 12 mo. UTC analysis was repeated only in a subgroup of 40 BMD patients randomly selected from the larger overall group (15 with and 25 without left ventricular dysfunction). Discrimination between BMD patients with and without dystrophin gene deletion was not possible on the basis of UTC data: average cvIBS was 5.2 ± 1.2 and 5.5 ± 1.4 dB, and average cIBS was 29.9 ± 4.7 and 29.6 ± 5.8, respectively, significantly different (p < 0.001) only from controls (8.6 ± 0.5 and 24.6 ± 1.2 dB). In patients developing left ventricular dysfunction during follow-up, cIBS increased to 31.3 ± 5.4 dB, but not significantly (p = 0.08). The highest cIBS values (34.6 ± 5.3 dB, p < 0.09 vs. baseline, p < 0.01 vs BMD patients without left ventricular dysfunction) were seen in the presence of severe left ventricular dysfunction. Multivariate statistics indicated that an absolute change of 6 dB in cIBS is associated with a high probability of left ventricular dysfunction. UTC analysis does not differentiate BMD patients with or without dystrophin gene deletion, but may be useful in indexing left ventricular dysfunction during follow-up.
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- 2014
10. Patterns of late gadolinium enhancement in Duchenne muscular dystrophy carriers
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Giglio, V, Puddu, Pe, Camastra, G, Sbarbati, S, Della Sala, Sw, Ferlini, A, Gualandi, F, Ricci, Enzo, Sciarra, F, Ansalone, G, Di Gennaro, M., Ricci, Enzo (ORCID:0000-0003-3092-3597), Giglio, V, Puddu, Pe, Camastra, G, Sbarbati, S, Della Sala, Sw, Ferlini, A, Gualandi, F, Ricci, Enzo, Sciarra, F, Ansalone, G, Di Gennaro, M., and Ricci, Enzo (ORCID:0000-0003-3092-3597)
- Abstract
This study was designed to assess whether cardiovascular magnetic resonance imaging (CMR) in Duchenne muscular dystrophy carriers (DMDc) may index any cell milieu elements of LV dysfunction and whether this cardiac phenotype may be related to genotype. The null hypothesis was that myocardial fibrosis, assessed by late gadolinium enhancement (LGE), might be similarly accounted for in DMDc and gender and age-matched controls.
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- 2014
11. Handgrip increases endothelin-1 secretion in normotensive young male off-spring of hypertensive parents
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Mangieri, E, Tanzilli, G, Barilla', F, Ciavolella, M, Puddu, Pe, DE ANGELIS CLAUDIO, Dell'Italia, L, and Campa, Pp
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Settore MED/11 - Published
- 1998
12. Ultrastructure of superfused human atrial muscles before and after stimulation of contractile activity
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Pannarale, L, Puddu, Pe, Vetuschi, Antonella, and Gaudio, E.
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- 1996
13. A statistical contribution to the clinical evaluation of blood pressure monitors
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Pannarale, G, Monti, F, Collauto, F, Serafini, G, Schiariti, Michele Salvatore Maria, Puddu, Pe, and Campa, Pp
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- 1995
14. Aumento della conduttanza al potassio ed attività elettrica spontanea 'in vitro': confronto tra nicorandil e cicletanine
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Dawodu, Aa, Schiariti, Michele Salvatore Maria, Monti, F, Lanti, M, Giglio, V, Terracciano, Cmn, Puddu, Pe, and Campa, Pp
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- 1992
15. Interesse della metodica ecocardiografica nella diagnostica dell'ipertensione polmonare
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Agati, Luciano, Puddu, Pe, Penco, M, Fedele, Francesco, Giannico, S, Gagliardi, Mg, Ursino, A, Politano, D, and Santangelo, Fp
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- 1982
16. L'importanza dello studio ecocardiografico nella valutazione della cardiopatia ipertensiva
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Fedele, Francesco, Agati, Luciano, Penco, M, Pastore, Lr, Giannico, S, Puddu, Pe, and Dagianti, A.
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- 1982
17. Altre situazioni di Patologia Cardiovascolare
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Agati, Luciano, Arata, L, Benassi, A, Cipressi, F, Di Renzi, L, Fedele, Francesco, Gentile, R, Giannico, S, Jacoboni, C, Modena, Mg, Pastore, Lr, Penco, M, Petronio, As, Puddu, Pe, Tedeschi Lalli, P, Mattioli, G, and Dagianti, A.
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- 1981
18. P128 Ellagic acid reduces L-type Ca2+ current and induces negative inotropy through NO-GC-cGMP pathway in rat ventricular myocytes.
- Author
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Ozdemir, S, Olgar, Y, Ozturk, N, Usta, C, and Puddu, PE
- Subjects
HEART disease complications ,ELLAGIC acid ,CALCIUM ions ,GUANYLATE cyclase ,MUSCLE cells ,LABORATORY rats ,PATHOLOGICAL physiology - Abstract
Recent evidences have shown that phenolic structures can exert many biological functions. Ellagic acid (EA), a phenolic compound, has been suggested to have cardioprotective effects. In this study we aimed to investigate the effect of EA on cardiac Ca2+ currents and contractility in rat ventricular myocytes and to elucidate the underlying mechanisms of these changes.All records measured from the freshly isolated ventricular myocytes of rat heart at 36±1 °C by using whole-cell configuration of voltage clamp. Cell shortening was measured by detecting the length of edges with video-based system at 1 Hz frequency of field stimulation. We found that EA dose dependently reduced Ca2+ currents with EC50= 23 nM. EA decreased voltage dependent L-type Ca2+ current density (ICaL) but it didn't affect the inactivation and reactivation parameters. Inhibition of adenylate cyclase (AC) with SQ-22536 (10 μM) and using probucol (antioxidant, 5 μM) had no effect on EA modulation of ICaL. Interestingly, blockage of nitric oxide synthase (NOS) with L-NAME (500 μM) and guanylate cyclase (GC) with ODQ (1 μM) abolished inhibitory effect of EA on ICaL. Moreover, EA dose dependently blunted fractional shorthening of ventricular myocytes.In conclusion, EA affects ionic and mechanical properties of ventricular myocytes starting at nanomolar concentrations. Our findings indicated that EA suppresses ICaL and exerts negative inotropic effects through activation of NOS-GC-cGMP pathway. Accordingly, EA may be useful in pathophysiological conditions whereby these effects might be favorable such as hypertension and ischemic heart diseases. [ABSTRACT FROM PUBLISHER]
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- 2014
- Full Text
- View/download PDF
19. Poster session 5: Friday 5 December 2014, 14:00-18:00 * Location: Poster area
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Turco, A, Duchenne, J, Nuyts, J, Gheysens, O, Voigt, J-U, Claus, P, Vunckx, K, Muhtarov, K, Ozer, N, Turk, G, Sunman, H, Karakulak, U, Sahiner, L, Kaya, B, Yorgun, H, Hazirolan, T, Aytemir, K, Warita, S, Kawasaki, M, Tanaka, R, Houle, H, Yagasaki, H, Nagaya, M, Ono, K, Noda, T, Watanabe, S, Minatoguchi, S, Kyle, AS, Dauphin, C, Lusson, J R, Dragoi Galrinho, R, Rimbas, RC, Ciobanu, AO, Marinescu, B, Cinteza, M, Vinereanu, D, 28343/04.11.2013, number, Medicine, Funding Authority: University of, Davila, Pharmacy Carol, "Young Researchers" Projects – 2013, Buchar, Dragoi Galrinho, R, Ciobanu, AO, Rimbas, RC, Marinescu, B, Cinteza, M, Vinereanu, D, 159/1.5/S/138907, Grant POSDRU, Aparina, O, Stukalova, O, Butorova, E, Makeev, M, Bolotova, M, Parkhomenko, D, Golitsyn, SP, Zengin, E, Hoffmann, B A, Ramuschkat, M, Ojeda, F, Weiss, C, Willems, S, Blankenberg, S, Schnabel, R B, Sinning, C R, Schubert, U, Suhai, F I, Toth, A, Kecskes, K, Czimbalmos, CS, Csecs, I, Maurovich-Horvat, P, Simor, T, Merkely, B, Vago, H, Slawek, D, Chrzanowski, L, Krecki, R, Binkowska, A, Kasprzak, J D, Palombo, C, Morizzo, C, Kozakova, M, Biering-Sorensen, T, Mogelvang, R, Jensen, JS, Charisopoulou, DC, Koulaouzidis, GK, Rydberg, AR, Henein, MH, Kovacs, A, Olah, A, Lux, A, Matyas, C, Nemeth, BT, Kellermayer, D, Ruppert, M, Birtalan, E, Merkely, B, Radovits, T, Sengelov, M, Biering-Sorensen, T, Jorgensen, PG, Bruun, NE, Fritz-Hansen, T, Bech, J, Olsen, FJ, Sivertsen, J, Jensen, JS, Henri, C, Dulgheru, R, Magne, J, Kou, S, Davin, L, Nchimi, A, Oury, C, Pierard, L, Lancellotti, P, Sahin, S T, Cengiz, B, Yurdakul, S, Altuntas, E, Aytekin, V, Aytekin, S, Bajraktari, G, Ibrahimi, P, Bytyci, I, Ahmeti, A, Batalli, A, Elezi, S, Henein, MY, Pavlyukova, EN, Tereshenkova, EK, Karpov, RS, Barbier, P, Mirea, O, Guglielmo, M, Savioli, G, Cefalu, C, Maltagliati, MC, Tumasyan, LR, Adamyan, KG, Chilingaryan, AL, Tunyan, LG, Kowalik, E, Klisiewicz, A, Biernacka, EK, Hoffman, P, Park, CS, Yi, JEY, Cho, JSC, Ihm, SHI, Kim, HYK, Cho, EJC, Jeon, HKJ, Jung, HOJ, Youn, HJY, Mcghie, JS, Menting, ME, Vletter, WB, Roos-Hesselink, JW, Geleijnse, ML, Van Der Zwaan, H, Van Den Bosch, A, Spethmann, S, Baldenhofer, G, Stangl, V, Baumann, G, Stangl, K, Laule, M, Dreger, H, Knebel, F, Erdei, T, Edwards, J, Braim, D, Yousef, Z, Fraser, AG, Cardiff, Investigators, MEDIA, Keramida, K, Kouris, N, Kostopoulos, V, Kostakou, P, Petrogiannos, CH, Olympios, CD, Bajraktari, G, Berisha, G, Bytyci, I, Ibrahimi, P, Rexhepaj, N, Henein, MY, Wdowiak-Okrojek, K, Shim, A, Wejner-Mik, P, Szymczyk, E, Michalski, B, Kasprzak, JD, Lipiec, P, Tarr, A, Stoebe, S, Pfeiffer, D, Hagendorff, A, Haykal, M, Ryu, SK, Park, JY, Kim, SH, Choi, JW, Goh, CW, Byun, YS, Choi, JH, Sonoko, M, Onishi, T, Fujimoto, W, Yamada, S, Taniguchi, Y, Yasaka, Y, Kawai, H, Okura, H, Sakamoto, Y, Murata, E, Kanai, M, Kataoka, T, Kimura, T, Watanabe, N, Kuriyama, N, Nakama, T, Furugen, M, Sagara, S, Koiwaya, H, Ashikaga, K, Matsuyama, A, Shibata, Y, Meimoun, P, Abouth, S, Martis, S, Boulanger, J, Elmkies, F, Zemir, H, Tzvetkov, B, Luycx-Bore, A, Clerc, J, Galli, E, Oger, E, Guirette, Y, Daudin, M, Fournet, M, Donal, E, Galli, E, Guirette, Y, Mabo, P, Donal, E, Keramida, K, Kouris, N, Kostopoulos, V, Psarrou, G, Petrogiannos, CH, Hatzigiannis, P, Olympios, CD, Igual Munoz, B, Erdociain Perales, MEP, Maceira Gonzalez Alicia, AMG, Vazquez Sanchez, ALEJAN, Miro Palau, VMP, Alonso Fernandez, PAF, Donate Bertolin, LDB, Estornell Erill, JEE, Cervera, AC, Montero Argudo Anastasio, AMA, Okura, H, Koyama, T, Maehama, T, Imai, K, Yamada, R, Kume, T, Neishi, Y, Caballero Jimenez, L, Garcia-Navarro, M, Saura, D, Oliva, MJ, Gonzalez-Carrillo, J, Espinosa, MD, Valdes, M, De La Morena, G, Venkateshvaran, A, Sola, S, Dash, P K, Annappa, C, Manouras, A, Winter, R, Brodin, LA, Govind, S C, Laufer-Perl, LM, Topilsky, Y, Stugaard, M, Koriyama, H, Katsuki, K, Masuda, K, Asanuma, T, Takeda, Y, Sakata, Y, Nakatani, S, Marta, L, Abecasis, J, Reis, C, Dores, H, Cafe, H, Ribeiras, R, Andrade, MJ, Mendes, M, Goebel, B, Hamadanchi, A, Schmidt-Winter, C, Otto, S, Jung, C, Figulla, HR, Poerner, TC, Kim, D-H, Sun, BJ, Jang, JY, Choi, HN, Song, J-M, Kang, D-H, Song, J-K, Zakhama, L, Slama, I, Boussabah, E, Antit, S, Herbegue, B, Annabi, MS, Jalled, A, Ben Ameur, W, Thameur, M, Ben Youssef, S, O' Grady, H, Gilmore, M, Delassus, P, Sturmberger, T, Ebner, C, Aichinger, J, Tkalec, W, Eder, V, Nesser, HJ, Caggegi, A M, Scandura, S, Capranzano, P, Grasso, C, Mangiafico, S, Ronsivalle, G, Dipasqua, F, Arcidiacono, A, Cannata, S, Tamburino, C, Chapman, M, Henthorn, RENEE, Surikow, S, Zoontjens, J, Stocker, B, Mclean, T, Zeitz, C J, Fabregat Andres, O, Estornell-Erill, J, Ridocci-Soriano, F, De La Espriella, R, Albiach-Montanana, C, Trejo-Velasco, B, Perdomo-Londono, D, Facila, L, Morell, S, Cortijo-Gimeno, J, Kouris, N, Keramida, K, Kostopoulos, V, Psarrou, G, Kostakou, P, Olympios, CD, Kuperstein, R, Blechman, I, Freimatk, D, Arad, M, Ochoa, J P, Fernandez, A, Vaisbuj, F, Salmo, F, Fava, AM, Casabe, H, Guevara, EG, Fernandes, A, Cateano, F, Almeida, I, Silva, J, Trigo, J, Botelho, A, Sanches, C, Venancio, M, Goncalves, L, Schnell, F, Daudin, M, Oger, E, Bouillet, P, Mabo, P, Carre, F, Donal, E, Petrella, L, Fabiani, D, Paparoni, S, De Remigis, F, Tomassoni, G, Prosperi, F, Napoletano, C, Marchel, M, Serafin, A, Kochanowski, J, Steckiewicz, R, Madej-Pilarczyk, A, Filipiak, KJ, Opolski, G, Abid, L, Ben Kahla, S, Charfeddine, S, Kammoun, S, Monivas Palomero, V, Mingo Santos, S, Goirigoizarri Artaza, J, Rodriguez Gonzalez, E, Restrepo Cordoba, A, Rivero Arribas, B, Garcia Lunar, I, Gomez Bueno, M, Sayago Silva, I, Segovia Cubero, J, Zengin, E, Radunski, U K, Klusmeier, M, Ojeda, F, Rybczynski, M, Barten, M, Muellerleile, K, Reichenspurner, H, Blankenberg, S, Sinning, C R, Romano, G, Licata, P, Tuzzolino, F, Clemenza, F, Di Gesaro, G, Hernandez Baravoglia, C, Scardulla, C, Pilato, M, Hashimoto, G, Suzuki, M, Yoshikawa, H, Otsuka, T, Isekame, Y, Iijima, R, Hara, H, Nakamura, M, Sugi, K, Melnikova, MA, Krestjyaninov, MV, Ruzov, VI, Magnino, C, Omede', P, Avenatti, E, Presutti, D, Moretti, C, Ravera, A, Sabia, L, Gaita, F, Veglio, F, Milan, A, Magda, SL, Mincu, RI, Soare, A, Mihai, CM, Florescu, M, Mihalcea, D, Cinteza, M, Vinereanu, D, POSDRU/159/1.5/S/141531, Grant, 112/2011, grant CNCSIS, Chatzistamatiou, E, Mpampatseva Vagena, I, Manakos, K, Moustakas, G, Konstantinidis, D, Memo, G, Mitsakis, O, Kasakogias, A, Syros, P, Kallikazaros, I, Petroni, R, Acitelli, A, Cicconetti, M, Di Mauro, M, Altorio, SF, Romano, S, Petroni, A, Penco, M, Apostolovic, S, Stanojevic, D, Jankovic-Tomasevic, R, Salinger-Martinovic, S, Pavlovic, M, Djordjevic-Radojkovic, D, Tahirovic, E, Dungen, HD, ELD, CIBIS, Jung, I H, Byun, Y S, Goh, C W, Kim, B O, Rhee, K J, Lee, D S, Kim, M J, Seo, H S, Kim, H Y, Tsverava, M, Tsverava, D, Zaletova, T, Shamsheva, D, Parkhomenko, O, Bogdanov, A, Derbeneva, S, Leotescu, A, Tudor, I, Gurghean, A, Bruckner, I, Plaskota, KJ, Trojnarska, O, Bartczak, A, Grajek, S, Sharma, P, Sharma, D, Garg, S, Vazquez Lopez-Ibor, J, Monivas Palomero, V, Solano-Lopez, JM, Zegri Reiriz, I, Dominguez Rodriguez, F, Gonzalez Mirelis, J, Mingo Santos, S, Sayago, I, Garcia Pavia, P, Segovia Cubero, J, Konecny, T, Noseworthy, P, Kapa, S, Cooper, LT, Mulpuru, SK, Asirvatham, S, Florescu, M, Mihalcea, D, Magda, S, Radu, E, Chirca, A, Acasandrei, AM, Jinga, D, Mincu, R, Enescu, OA, Vinereanu, D, 112/2011, no., PN-II-ID-PCE-2011-3-0791, Saura Espin, D, Caballero Jimenez, L, Oliva Sandoval, MJ, Gonzalez Carrillo, J, Garcia Navarro, M, Espinosa Garcia, MD, Valdes Chavarri, M, De La Morena Valenzuela, G, Abul Fadl, AAM, Mourad, MM, team, Primary care Echocardiography, Campanale, C M, Di Maria, S, Mega, S, Nusca, A, Marullo, F, Di Sciascio, G, Pardo Gonzalez, L, Delgado, M, Ruiz, M, Rodriguez, S, Hidalgo, F, Ortega, R, Mesa, D, Suarez De Lezo Cruz Conde, J, Bengrid, T M, Zhao, Y, Henein, MY, Kenjaev, S, Alavi, AL, Kenjaev, ML, Mendes, LM, Lima, S, Dantas, C, Melo, I, Madeira, V, Balao, S, Alves, H, Baptista, E, Mendes, P, Santos, JF, Scali, MC, Mandoli, GE, Simioniuc, A, Massaro, F, Di Bello, V, Marzilli, M, Dini, FL, Cifra, B, Dragulescu, A, Friedberg, MK, Mertens, L, Scali, MC, Bayramoglu, A, Tasolar, H, Otlu, YO, Hidayet, S, Kurt, F, Dogan, A, Pekdemir, H, Stefani, L, Galanti, GG, De Luca, ADL, Toncelli, LT, Pedrizzetti, GP, Gopal, A S, Saha, SK, Toole, RS, Kiotsekoglou, A, Cao, JJ, Reichek, N, Ho, S-J, Hung, S-C, Chang, F-Y, Liao, J-N, Niu, D-M, Yu, W-C, Nemes, A, Kalapos, A, Domsik, P, Forster, T, Siarkos, M, Sammut, E, Lee, L, Jackson, T, Carr-White, G, Rajani, R, Kapetanakis, S, Jarvinen, VM, Sipola, P, Madeo, A, Piras, P, Evangelista, A, Giura, G, Dominici, T, Nardinocchi, P, Varano, V, Chialastri, C, Puddu, PE, Torromeo, C, Sanchis Ruiz, L, Montserrat, S, Obach, V, Cervera, A, Bijnens, B, Sitges, M, Charisopoulou, D, Banner, N R, Rahman-Haley, S, Kim, BJ, Kang, JG, Lee, SH, Sung, KC, Kim, BS, Kang, JH, Lee, ES, Imperadore, F, Del Greco, M, Jermendy, AL, Horcsik, DV, Horvath, T, Celeng, C, Nagy, E, Bartykowszki, A, Tarnoki, DL, Merkely, B, Maurovich-Horvat, P, Jermendy, G, Whitaker, J, Demir, OM, Walton, J, Wragg, A, Alfakih, K, Karolyi, M, Szilveszter, B, Raaijmakers, R, Giepmans, W, Horvath, T, Merkely, B, Maurovich-Horvat, P, Koulaouzidis, GK, Charisopoulou, DC, Mcarthur, TM, Jenkins, PJJ, Henein, MH, Silva, T, Ramos, R, Oliveira, M, Marques, H, Cunha, P, Silva, MN, Barbosa, C, Sofia, A, Pimenta, R, Ferreira, RC, Al-Mallah, M, and Alsaileek, A
- Abstract
Clinical PET acquisitions of the heart suffer from artefacts and drops in image quality due to the poor spatial resolution of the PET system. Moreover, cardiac PET images are further degraded by the blur caused by the breathing and beating motions, thus hampering diagnosis and evaluation of myocardial pathologies. Anatomy-enhanced PET reconstruction, using a high-resolution CT, has proven useful in brain imaging. In cardiac datasets however, due to the motion artefacts, the application of any restoring technique on datasets affected by motion blur needs to be preceded by the validation of the proposed method on realistic static datasets. In this work, the validation is performed using static cardiac ex vivo datasets obtained from a number of sacrificed sheep, scanned on a clinical PET/CT scanner. The aim of this work is to assess the effectiveness of reconstructions of the acquired datasets with different CT-based anatomical priors, in comparison to reconstructions currently applied in clinical practise. The gold standard to which all reconstructions are compared consists of images of the same hearts scanned on a small-animal PET scanner, whose high spatial resolution allows for almost artefact-free images. Encouraging results were obtained so far, with improvements in volume delineation and uniformity of activity values when anatomical information was used. Fig 1 shows the gold standard image (left) compared to a regular clinical reconstruction (middle) and to a reconstruction using the high-resolution CT as anatomical information (right).
Figure - Published
- 2014
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20. Long-term mortality prediction after operations for type A ascending aortic dissection.
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Macrina F, Puddu PE, Sciangula A, Totaro M, Trigilia F, Cassese M, Toscano M, Macrina, Francesco, Puddu, Paolo E, Sciangula, Alfonso, Totaro, Marco, Trigilia, Fausto, Cassese, Mauro, and Toscano, Michele
- Abstract
Background: There are few long-term mortality prediction studies after acute aortic dissection (AAD) Type A and none were performed using new models such as neural networks (NN) or support vector machines (SVM) which may show a higher discriminatory potency than standard multivariable models.Methods: We used 32 risk factors identified by Literature search and previously assessed in short-term outcome investigations. Models were trained (50%) and validated (50%) on 2 random samples from a consecutive 235-patient cohort. NN were run only on patients with complete data for all included variables (N = 211); SVM on the overall group. Discrimination was assessed by receiver operating characteristic area under the curve (AUC) and Gini's coefficients along with classification performance.Results: There were 84 deaths (36%) occurring at 564 +/- 48 days (95%CI from 470 to 658 days). Patients with complete variables had a slightly lower death rate (60 of 211, 28%). NN classified 44 of 60 (73%) dead patients and 147 of 151 (97%) long-term survivors using 5 covariates: immediate post-operative chronic renal failure, circulatory arrest time, the type of surgery on ascending aorta plus hemi-arch, extracorporeal circulation time and the presence of Marfan habitus. Global accuracies of training and validation NN were excellent with AUC respectively 0.871 and 0.870 but classification errors were high among patients who died. Training SVM, using a larger number of covariates, showed no false negative or false positive cases among 118 randomly selected patients (error = 0%, AUC 1.0) whereas validation SVM, among 117 patients, provided 5 false negative and 11 false positive cases (error = 22%, AUC 0.821, p < 0.01 versus NN results). An html file was produced to adopt and manipulate the selected parameters for practical predictive purposes.Conclusions: Both NN and SVM accurately selected a few operative and immediate post-operative factors and the Marfan habitus as long-term mortality predictors in AAD Type A. Although these factors were not new per se, their combination may be used in practice to index death risk post-operatively with good accuracy. [ABSTRACT FROM AUTHOR]- Published
- 2010
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21. Poster session Wednesday 11 December all day display: 11/12/2013, 09:30-16:00 * Location: Poster area
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Bertrand, PB, Grieten, L, Smeets, C, Verbrugge, FH, Mullens, W, Vrolix, M, Rivero-Ayerza, M, Verhaert, D, Vandervoort, P, Tong, L, Ramalli, A, Tortoli, P, Dhoge, J, Bajraktari, G, Lindqvist, P, Henein, MY, Obremska, M, Boratynska, MB, Kurcz, JK, Zysko, DZ, Baran, TB, Klinger, MK, Darahim, K, Mueller, H, Carballo, D, Popova, N, Vallee, J-P, Floria, M, Chistol, R, Tinica, G, Grecu, M, Rodriguez Serrano, M, Osa-Saez, A, Rueda-Soriano, J, Buendia-Fuentes, F, Domingo-Valero, D, Igual-Munoz, B, Alonso-Fernandez, P, Quesada-Carmona, A, Miro-Palau, V, Palencia-Perez, M, Bech-Hanssen, O, Polte, CL, Lagerstrand, K, Janulewicz, M, Gao, S, Erdogan, E, Akkaya, M, Bacaksiz, A, Tasal, A, Sonmez, O, Turfan, M, Kul, S, Vatankulu, MA, Uyarel, H, Goktekin, O, Mincu, RI, Magda, LS, Mihaila, S, Florescu, M, Mihalcea, D, Enescu, OE, Chiru, A, Popescu, B, Tiu, C, Vinereanu, D, 112/2011, Research grant, Broch, K, Kunszt, G, Massey, R, De Marchi, SF, Aakhus, S, Gullestad, L, Urheim, S, Yuan, L, Feng, JL, Jin, XY, Bombardini, T, Casartelli, M, Simon, D, Gaspari, MG, Procaccio, F, Hasselberg, NE, Haugaa, KH, Brunet, A, Kongsgaard, E, Donal, E, Edvardsen, T, Sahin, TAYLAN, Yurdakul, S, Cengiz, BETUL, Bozkurt, AYSEN, Aytekin, SAIDE, Cesana, F, Spano, F, Santambrogio, G, Alloni, M, Vallerio, P, Salvetti, M, Carerj, S, Gaibazzi, N, Rigo, F, Moreo, A, Group, APRES Collaborative, Wdowiak-Okrojek, K, Michalski, B, Kasprzak, JD, Shim, A, Lipiec, P, Generati, G, Pellegrino, M, Bandera, F, Donghi, V, Alfonzetti, E, Guazzi, M, Marcun, R, Stankovic, I, Farkas, J, Vlahovic-Stipac, A, Putnikovic, B, Kadivec, S, Kosnik, M, Neskovic, AN, Lainscak, M, Iliuta, L, Szymanski, P, Lipczynska, M, Klisiewicz, A, Sobieszczanska-Malek, M, Zielinski, T, Hoffman, P, Gjerdalen, G F, Hisdal, J, Solberg, EE, Andersen, TE, Radunovic, Z, Steine, K, Svanadze, A, Poteshkina, N, Krylova, N, Mogutova, P, Shim, A, Kasprzak, JD, Szymczyk, E, Wdowiak-Okrojek, K, Michalski, B, Stefanczyk, L, Lipiec, P, Benedek, T, Matei, C, Jako, B, Suciu, ZS, Benedek, I, Yaroshchuk, N A, Kochmasheva, V V, Dityatev, V P, Kerbikov, O B, Przewlocka-Kosmala, M, Orda, A, Karolko, B, Mysiak, A, Kosmala, W, Rechcinski, T, Wierzbowska-Drabik, K, Lipiec, P, Chmiela, M, Kasprzak, JD, Aziz, A, Hooper, J, Rayasamudra, S, Uppal, H, Asghar, O, Potluri, R, Zaroui, A, Mourali, MS, Rezine, Z, Mbarki, S, Jemaa, M, Aloui, H, Mechmeche, R, Farhati, A, Gripari, P, Maffessanti, F, Tamborini, G, Muratori, M, Fusini, L, Vignati, C, Bartorelli, AL, Alamanni, F, Agostoni, PG, Pepi, M, Ruiz Ortiz, M, Mesa, D, Delgado, M, Seoane, T, Carrasco, F, Martin, M, Mazuelos, F, Suarez De Lezo Herreros De Tejada, J, Romero, M, Suarez De Lezo, J, Brili, S, Stamatopoulos, I, Misailidou, M, Chrisochoou, C, Christoforatou, E, Stefanadis, C, Ruiz Ortiz, M, Mesa, D, Delgado, M, Martin, M, Seoane, T, Carrasco, F, Ojeda, S, Segura, J, Pan, M, Suarez De Lezo, J, Cammalleri, V, Ussia, GP, Muscoli, S, Marchei, M, Sergi, D, Mazzotta, E, Romeo, F, Igual Munoz, B, Bel Minguez, ABM, Perez Guillen, MPG, Maceira Gonzalez, AMG, Monmeneu Menadas, JVMM, Hernandez Acuna, CHA, Estornell Erill, JEE, Lopez Lereu, PLL, Francisco Jose Valera Martinez, FJVM, Montero Argudo, AMA, Sunbul, M, Akhundova, A, Sari, I, Erdogan, O, Mutlu, B, Cacicedo, A, Velasco Del Castillo, S, Anton Ladislao, A, Aguirre Larracoechea, U, Rodriguez Sanchez, I, Subinas Elorriaga, A, Oria Gonzalez, G, Onaindia Gandarias, J, Laraudogoitia Zaldumbide, E, Lekuona Goya, I, Ding, W, Zhao, Y, Lindqvist, P, Nilson, J, Winter, R, Holmgren, A, Ruck, A, Henein, MY, Attenhofer Jost, C H, Soyka, R, Oxenius, A, Kretschmar, O, Valsangiacomo Buechel, ER, Greutmann, M, Weber, R, Keramida, K, Kouris, N, Kostopoulos, V, Karidas, V, Damaskos, D, Makavos, G, Paraskevopoulos, K, Olympios, CD, Eskesen, K, Olsen, NT, Fritz-Hansen, T, Sogaard, P, Cameli, M, Lisi, M, Righini, FM, Curci, V, Massoni, A, Natali, B, Maccherini, M, Chiavarelli, M, Massetti, M, Mondillo, S, Mabrouk Salem Omar, A, Ahmed Abdel-Rahman, M, Khorshid, H, Rifaie, O, Santoro, C, Santoro, A, Ippolito, R, De Palma, D, De Stefano, F, Muscariiello, R, Galderisi, M, Squeri, A, Censi, S, Baldelli, M, Grattoni, C, Cremonesi, A, Bosi, S, Saura Espin, D, Gonzalez Canovas, C, Gonzalez Carrillo, J, Oliva Sandoval, MJ, Caballero Jimenez, L, Espinosa Garcia, MD, Garcia Navarro, M, Valdes Chavarri, M, De La Morena Valenzuela, G, Ryu, SK, Shin, DG, Son, JW, Choi, JH, Goh, CW, Choi, JW, Park, JY, Hong, GR, Sklyanna, O, Yuan, L, Yuan, L, Planinc, I, Bagadur, G, Ljubas, J, Baricevic, Z, Skoric, B, Velagic, V, Bijnens, B, Milicic, D, Cikes, M, Gospodinova, M, Chamova, T, Guergueltcheva, V, Ivanova, R, Tournev, I, Denchev, S, Ancona, R, Comenale Pinto, S, Caso, P, Arenga, F, Coppola, MG, Calabro, R, Neametalla, H, Boitard, S, Hamdi, H, Planat-Benard, V, Casteilla, L, Li, Z, Hagege, AA, Mericskay, M, Menasche, P, Agbulut, O, Merlo, M, Stolfo, D, Anzini, M, Negri, F, Pinamonti, B, Barbati, G, Di Lenarda, A, Sinagra, G, Stolfo, D, Merlo, M, Pinamonti, B, Gigli, M, Poli, S, Porto, A, Di Nora, C, Barbati, G, Di Lenarda, A, Sinagra, G, Coppola, C, Piscopo, G, Cipresso, C, Rea, D, Maurea, C, Esposito, E, Arra, C, Maurea, N, Nemes, A, Kalapos, A, Domsik, P, Forster, T, Voilliot, D, Huttin, O, Vaugrenard, T, Schwartz, J, Sellal, J-M, Aliot, E, Juilliere, Y, Selton-Suty, C, Sanchez Millan, P J, Cabeza Lainez, P, Castillo Ortiz, J, Chueca Gonzalez, EM, Gheorghe, L, Fernandez Garcia, P, Herruzo Rojas, MS, Del Pozo Contreras, R, Fernandez Garcia, M, Vazquez Garcia, R, Rosca, M, Popescu, BA, Botezatu, D, Calin, A, Beladan, CC, Gurzun, M, Enache, R, Ginghina, C, Farouk, H, Al-Maimoony, T, Alhadad, A, El Serafi, M, Abdel Ghany, M, Poorzand, H, Mirfeizi, SZ, Javanbakht, A, center, Preventive Cardiovascular care research, center, Lupus Research, sciences, Mashhad university of medical, Tellatin, S, Famoso, G, Dassie, F, Martini, C, Osto, E, Maffei, P, Iliceto, S, Tona, F, Radunovic, Z, Steine, KS, Jedrzejewska, I, Braksator, W, Krol, W, Swiatowiec, A, Sawicki, J, Kostarska-Srokosz, E, Dluzniewski, M, Maceira Gonzalez, A M, Cosin-Sales, J, Diago, JL, Aguilar, J, Ruvira, J, Monmeneu, J, Igual, B, Lopez-Lereu, MP, Estornell, J, Olszanecka, A, Dragan, A, Kawecka-Jaszcz, K, Czarnecka, D, Scholz, F, Gaudron, PD, Hu, K, Liu, D, Florescu, C, Herrmann, S, Bijnens, B, Ertl, G, Stoerk, S, Weidemann, F, Krestjyaninov, M, Razin, VA, Gimaev, RH, Bogdanovic, Z, Burazor, I, Deljanin Ilic, M, Peluso, D, Muraru, D, Cucchini, U, Mihaila, S, Casablanca, S, Pigatto, E, Cozzi, F, Punzi, L, Badano, LP, Iliceto, S, Zhdanova, E, Rameev, VV, Safarova, AF, Moisseyev, SV, Kobalava, ZD, Magnino, C, Omede, P, Avenatti, E, Presutti, D, Losano, I, Moretti, C, Bucca, C, Gaita, F, Veglio, F, Milan, A, Bellsham-Revell, H, Bell, AJ, Miller, OI, Simpson, JM, Hwang, YM, Kim, GH, Jung, MH, Woo, GH, Medicine, Department of Internal, Hospital, St.Vincents, Korea, The Catholic University of, Suwon, Division of Cardiology, Repu, Driessen, MMP, Leiner, T, Schoof, PH, Breur, JMPJ, Sieswerda, GT, Meijboom, FJ, Bellsham-Revell, H, Hayes, N, Anderson, D, Austin, BC, Razavi, R, Greil, GF, Simpson, JM, Bell, AJ, Zhao, XX, Xu, XD, Qin, YW, Szmigielski, C A, Styczynski, G, Sobczynska, M, Placha, G, Kuch-Wocial, A, Ikonomidis, I, Voumbourakis, A, Triantafyllidi, H, Pavlidis, G, Varoudi, M, Papadakis, I, Trivilou, P, Paraskevaidis, I, Anastasiou-Nana, M, Lekakis, I, Kong, WILL, Yip, JAMES, Ling, LH, Milan, A, Tosello, F, Leone, D, Bruno, G, Losano, I, Avenatti, E, Sabia, L, Veglio, F, Zaborska, B, Baran, J, Pilichowska-Paszkiet, E, Sikora-Frac, M, Michalowska, I, Kulakowski, P, Budaj, A, Mega, S, Bono, MC, De Francesco, V, Castiglione, I, Ranocchi, F, Casacalenda, A, Goffredo, C, Patti, G, Di Sciascio, G, Musumeci, F, Kennedy, M, Waterhouse, DF, Sheahan, R, Foley, DF, Mcadam, BF, Ancona, R, Comenale Pinto, S, Caso, P, Arenga, F, Coppola, MG, Calabro, R, Remme, E W, Smedsrud, M K, Hasselberg, N E, Smiseth, O A, Edvardsen, T, Halmai, L, Nemes, A, Kardos, A, Neubauer, S, Degiovanni, A, Baduena, L, Dellera, G, Occhetta, E, Marino, P, Hotchi, J, Yamada, H, Nishio, S, Bando, M, Hayashi, S, Hirata, Y, Amano, R, Soeki, T, Wakatsuki, T, Sata, M, Lamia, B, Molano, LC, Viacroze, C, Cuvelier, A, Muir, JF, Lipczynska, M, Piotr Szymanski, PS, Anna Klisiewicz, AK, Lukasz Mazurkiewicz, LM, Piotr Hoffman, PH, Van T Sant, J, Wijers, SC, Ter Horst, IAH, Leenders, GE, Cramer, MJ, Doevendans, PA, Meine, M, Hatam, N, Goetzenich, A, Aljalloud, A, Mischke, K, Hoffmann, R, Autschbach, R, Sikora-Frac, M, Zaborska, B, Maciejewski, P, Bednarz, B, Budaj, A, Evangelista, A, Torromeo, C, Pandian, NG, Nardinocchi, P, Varano, V, Schiariti, M, Teresi, L, Puddu, PE, Storve, S, Dalen, H, Snare, SR, Haugen, BO, Torp, H, Fehri, W, Mahfoudhi, H, Mezni, F, Annabi, MS, Taamallah, K, Dahmani, R, Haggui, A, Hajlaoui, N, Lahidheb, D, Haouala, H, Colombo, A, Carminati, MC, Maffessanti, F, Gripari, P, Pepi, M, Lang, RM, Caiani, EG, Walker, JR, Abadi, S, Agmon, Y, Carasso, S, Aronson, D, Mutlak, D, Lessick, J, Saxena, A, Ramakrishnan, S, Juneja, R, Ljubas, J, Reskovic Luksic, V, Matasic, R, Pezo Nikolic, B, Lovric, D, Separovic Hanzevacki, J, Quattrone, A, Zito, C, Alongi, G, Vizzari, G, Bitto, A, De Caridi, G, Greco, M, Tripodi, R, Pizzino, G, Carerj, S, Ibrahimi, P, Jashari, F, Johansson, E, Gronlund, C, Bajraktari, G, Wester, P, Henein, MY, Kosmala, W, Marwick, TH, Souza, J R M, Zacharias, L G T, Geloneze, B, Pareja, J C, Chaim, A, Nadruz, W JR, Coelho, O R, Apostolovic, S, Stanojevic, D, Jankovic-Tomasevic, R, Salinger-Martinovic, S, Djordjevic-Radojkovic, D, Pavlovic, M, Tahirovic, E, Musial-Bright, L, Lainscak, M, Duengen, HD, group, CIBIS ELD study, Filipiak, D, Kasprzak, JD, and Lipiec, P
- Abstract
Purpose: With the advent of percutaneous transcatheter device closures in congenital heart defects and the emergence of percutaneous left atrial appendage closure, there is an increasingly important role for echocardiographic guidance and control of device position and function. Disc occluder devices frequently present as an unexplained ‘figure-of-8’ on echocardiography. The aim of this study was to clarify this ‘figure-of-8’ display and to relate its morphology to transducer position and device type. Methods: A mathematical model was developed to resemble disc occluder geometry and to allow a numerical simulation of the echocardiographic appearance. In addition, we developed an in vitro set-up for echocardiographic analysis of various disc occluders and various transducer positions. Results: In the mathematical model of an epitrochoid curve (closely resembling disc occluder geometry) a ‘figure-of-8’ display is obtained when emphasizing points with tangent vector perpendicular to the direction of ultrasound waves. Decreasing imaging depth results in a more asymmetric ‘figure-of-8’, with small upper part and wide lower part. Clinical and in vitro data are in close agreement with these results (Figure 1). Furthermore a ‘figure-of-8’ display is only obtained in a coronal imaging position, and is similar for different commercially available disc occluder types. Conclusions: The ‘figure-of-8’ display in the ultrasound image of a disc occluder is an imaging artifact due to the specific ‘epitrochoidal’ geometry of a deployed device and its interaction with ultrasound waves. The morphology of the ‘figure-of-8’ depends on transducer position, i.e. imaging depth, and is similar for different device types.
Figure 1 Impact of imaging depth - Published
- 2013
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22. 24-Hour antihypertensive efficacy of extended release felodipine
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Pannarale, G, Puddu, PE, Monti, F, Collauto, F, Serafini, G, Schiariti, M, and Campa, PP
- Published
- 1995
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23. Major adverse cardiovascular events in non-valvular atrial fibrillation with chronic obstructive pulmonary disease: the ARAPACIS study
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Raparelli, Valeria, Pastori, Daniele, Pignataro, Serena Francesca, Vestri, Anna Rita, Pignatelli, Pasquale, Cangemi, Roberto, Proietti, Marco, Davì, Giovanni, Hiatt, William Robert, Lip, Gregory Yoke Hong, Corazza, Gino Roberto, Perticone, Francesco, Violi, Francesco, Basili, Stefania, Alessandri, C., Serviddio, G., Palange, P., Greco, E., Bruno, G., Averna, M., Giammanco, A., Sposito, P., de Cristofaro, R., Carulli, L., de Gennaro, L., Pellegrini, E., Cominacini, L., Mozzini, C., Pasini, A. F., Sprovieri, M., Spagnuolo, V., Cerqua, G., Cerasola, G., Mulé, G., Barbagallo, M., Lo Sciuto, S., Monteverde, A., Saitta, A., Lo Gullo, A., Malatino, L., Cilia, C., Terranova, V., Pisano, M., Pinto, A., Di Raimondo, D., Tuttolomondo, A., Conigliaro, R., Signorelli, S., de Palma, D., Galderisi, M., Cudemo, G., Galletti, F., Fazio, V., de Luca, N., Meccariello, A., Caputo, D., de Donato, M. T., Iannuzi, A., Bresciani, A., Giunta, R., Utili, R., Iorio, V., Adinolfi, L. E., Sellitto, C., Iuliano, N., Bellis, P., Tirelli, P., Sacerdoti, D., Vanni, D., Iuliano, L., Ciacciarelli, M., Pacelli, A., Palazzuoli, A., Cacciafesta, M., Gueli, N., Lo Iacono, C., Brusco, S., Verrusio, W., Nobili, L., Tarquinio, N., Pellegrini, F., Vincentelli, G. M., Ravallese, F., Santini, C., Letizia, C., Petramala, L., Zinnamosca, L., Minisola, S., Cilli, M., Colangelo, L., Falaschi, P., Martocchia, A., Pastore, F., Bertazzoni, G., Attalla El Halabieh, E., Paradiso, M., Lizzi, E. M., Timmi, S., Battisti, P., Cerci, S., Ciavolella, M., Di Veroli, C., Malci, F., de Ciocchis, A., Abate, D., Castellino, P., Zanoli, L., Fidone, F., Mannarino, E., Pasqualini, L., Oliverio, G., Pende, A., Artom, N., Ricchio, R., Fimognari, F. L., Alletto, M., Messina, S., Sesti, G., Arturi, F., Succurro, E., Fiorentino, T. V., Pedace, E., Scarpino, P. E., Carullo, G., Maio, R., Sciacqua, A., Frugiuele, P., Battaglia, G., Atzori, S., Delitala, G., Angelucci, E., Sestili, S., Traisci, G., de Feudis, L., Di Michele, D., Fava, A., Balsano, C., de Ciantis, P., Desideri, G., Camerota, A., Mezzetti, M., Gresele, P., Vedovati, C., Fierro, T., Puccetti, L., Bertolotti, M., Mussi, C., Boddi, M., Savino, A., Contri, S., Degl’Innocenti, G., Saller, A., Fabris, F., Pesavento, R., Filippi, L., Vedovetto, V., Puato, M., Treleani, M., de Luca, E., de Zaiacomo, F., Giantin, V., Semplicini, A., Minuz, P., Romano, S., Fantin, F., Manica, A., Stockner, I., Pattis, P., Gutmann, B., Catena, C., Colussi, G., Sechi, L. A., Annoni, G., Bruni, A. A., Castagna, A., Spinelli, D., Miceli, E., Padula, D., Schinco, G., Spreafico, S., Secchi, B., Vanoli, M., Casella, G., Pulixi, E. A., Sansone, L., Serra, M. G., Longo, S., Antonaci, S., Belfiore, A., Frualdo, M., Palasciano, G., Ricci, L., Ventrella, F., Bianco, C., Santovito, D., Cipollone, F., Nicolai, S., Salvati, F., Rini, G. B., Scozzari, F., Muiesan, M. L., Salvetti, M., Bazza, A., Picardi, A., Vespasiani-Gentilucci, U., de Vincentis, A., Cosio, P., Terzolo, M., Madaffari, B., Parasporo, B., Fenoglio, L., Bracco, C., Melchio, R., Gentili, T., Salvi, A., Nitti, C., Gabrielli, A., Martino, G. P., Capucci, A., Brambatti, M., Sparagna, A., Tirotta, D., Andreozzi, P., Ettorre, E., Viscogliosi, G., Servello, A., Musumeci, M., Delfino, M., Giorgi, A., Glorioso, N., Melis, G., Marras, G., Matta, M., Sacco, A., Stellitano, E., Scordo, A., Russo, F., Caruso, A. A., Porreca, E., Tana, M., Ferri, C., Cheli, P., Portincasa, P., Muscianisi, G., Giordani, S., Stanghellini, V., Sabbà, C., Mancuso, G., Bartone, M., Calipari, D., Arcidiacono, G., Bellanuova, I., Ferraro, M., Marigliano, G., Cozzolino, D., Lampitella, A., Acri, V., Galasso, D., Mazzei, F., Buratti, A., Galasso, S., Porta, M., Brizzi, M. F., Fattorini, A., Sampietro, F., D’Angelo, A., Manfredini, R., Pala, M., Fabbian, F., Moroni, C., Valente, L., Lopreiato, F., Parente, F., Granata, M., Moia, M., Braham, S., Rossi, M., Pesce, M., Gentile, A., Catozzo, V., Baciarello, G., Cosimati, A., Ageno, W., Rancan, E., Guasti, L., Ciccaglioni, A., Negri, S., Polselli, M., Prisco, D., Marcucci, R., Ferro, D., Perri, L., Cangemi, R., Saliola, M., Del Ben, M., Angelico, F., Baratta, F., Migliacci, R., Porciello, G., Corrao, S., Proietti, M., Raparelli, V., Napoleone, L., Talerico, G., Amoroso, D., Romiti, G. F., Ruscio, E., Toriello, F., Sperduti, N., Todisco, T., Di Tanna, G., Sacchetti, M. L., Puddu, P. E., Farcomeni, A., Anzaldi, M., Bazzini, C., Bianchi, P. I., Boari, B., Buonauro, A., Buttà, C., Buzzetti, E., Calabria, S., Capeci, W., Caradio, F., Carleo, P., Carrabba, M. D., Castorani, L., Cecchetto, L., Cicco, S., Cimini, C., Colombo, B. M., de Giorgi, A., de Vuono, S., Del Corso, L., Denegri, A., Di Giosia, P., Durante Mangoni, E., Falsetti, L., Forgione, A., Giorgini, P., Grassi, D., Grembiale, A., Hijazi, D., Iamele, L., Lorusso, G., Marchese, A., Marra, A. M., Masala, M., Miceli, G., Montebianco Abenavoli, L., Murgia, G., Naccarato, P., Pattoneri, P., Perego, F., Pesce, P., Piano, S., Pinna, M., Pinto, D., Pretti, V., Pucci, G., Salinaro, F., Salzano, A., Santilli, F., Scarpini, F., Scicali, R., Sirico, D., Suppressa, P., Talia, M., Tassone, E. J., Torres, D., Vazzana, N., Vecchio, C. R., Vidili, G., Vitale, F., Zaccone, V., ARAPACIS Study Collaborators, Raparelli, V, Pastori, D, Pignataro, S, Vestri, A, Pignatelli, P, Cangemi, R, Proietti, M, Davi, G, Hiatt, W, Lip, G, Corazza, G, Perticone, F, Violi, F, Basili, S, Alessandri, C, Serviddio, G, Palange, P, Greco, E, Bruno, G, Averna, M, Giammanco, A, Sposito, P, Decristofaro, R, Carulli, L, Degennaro, L, Pellegrini, E, Cominacini, L, Mozzini, C, Pasini, A, Sprovieri, M, Spagnuolo, V, Cerqua, G, Cerasola, G, Mule, G, Barbagallo, M, Lo Sciuto, S, Monteverde, A, Saitta, A, Lo Gullo, A, Malatino, L, Cilia, C, Terranova, V, Pisano, M, Pinto, A, Diraimondo, D, Tuttolomondo, A, Conigliaro, R, Signorelli, S, Depalma, D, Galderisi, M, Cudemo, G, Galletti, F, Fazio, V, Deluca, N, Meccariello, A, Caputo, D, Dedonato, M, Iannuzi, A, Bresciani, A, Giunta, R, Utili, R, Iorio, V, Adinolfi, L, Sellitto, C, Iuliano, N, Bellis, P, Tirelli, P, Sacerdoti, D, Vanni, D, Iuliano, L, Ciacciarelli, M, Pacelli, A, Palazzuoli, A, Cacciafesta, M, Gueli, N, Lo Iacono, C, Brusco, S, Verrusio, W, Nobili, L, Tarquinio, N, Pellegrini, F, Vincentelli, G, Ravallese, F, Santini, C, Letizia, C, Petramala, L, Zinnamosca, L, Minisola, S, Cilli, M, Colangelo, L, Falaschi, P, Martocchia, A, Pastore, F, Bertazzoni, G, Attalla El Halabieh, E, Paradiso, M, Lizzi, E, Timmi, S, Battisti, P, Cerci, S, Ciavolella, M, Diveroli, C, Malci, F, Deciocchis, A, Abate, D, Castellino, P, Zanoli, L, Fidone, F, Mannarino, E, Pasqualini, L, Oliverio, G, Pende, A, Artom, N, Ricchio, R, Fimognari, F, Alletto, M, Messina, S, Sesti, G, Arturi, F, Succurro, E, Fiorentino, T, Pedace, E, Scarpino, P, Carullo, G, Maio, R, Sciacqua, A, Frugiuele, P, Battaglia, G, Atzori, S, Delitala, G, Angelucci, E, Sestili, S, Traisci, G, Defeudis, L, Dimichele, D, Fava, A, Balsano, C, Deciantis, P, Desideri, G, Camerota, A, Mezzetti, M, Gresele, P, Vedovati, C, Fierro, T, Puccetti, L, Bertolotti, M, Mussi, C, Boddi, M, Savino, A, Contri, S, Degl'Innocenti, G, Saller, A, Fabris, F, Pesavento, R, Filippi, L, Vedovetto, V, Puato, M, Treleani, M, Deluca, E, Dezaiacomo, F, Giantin, V, Semplicini, A, Minuz, P, Romano, S, Fantin, F, Manica, A, Stockner, I, Pattis, P, Gutmann, B, Catena, C, Colussi, G, Sechi, L, Annoni, G, Bruni, A, Castagna, A, Spinelli, D, Miceli, E, Padula, D, Schinco, G, Spreafico, S, Secchi, B, Vanoli, M, Casella, G, Pulixi, E, Sansone, L, Serra, M, Longo, S, Antonaci, S, Belfiore, A, Frualdo, M, Palasciano, G, Ricci, L, Ventrella, F, Bianco, C, Santovito, D, Cipollone, F, Nicolai, S, Salvati, F, Rini, G, Scozzari, F, Muiesan, M, Salvetti, M, Bazza, A, Picardi, A, Vespasiani-Gentilucci, U, Devincentis, A, Cosio, P, Terzolo, M, Madaffari, B, Parasporo, B, Fenoglio, L, Bracco, C, Melchio, R, Gentili, T, Salvi, A, Nitti, C, Gabrielli, A, Martino, G, Capucci, A, Brambatti, M, Sparagna, A, Tirotta, D, Andreozzi, P, Ettorre, E, Viscogliosi, G, Servello, A, Musumeci, M, Delfino, M, Giorgi, A, Glorioso, N, Melis, G, Marras, G, Matta, M, Sacco, A, Stellitano, E, Scordo, A, Russo, F, Caruso, A, Porreca, E, Tana, M, Ferri, C, Cheli, P, Portincasa, P, Muscianisi, G, Giordani, S, Stanghellini, V, Sabba, C, Mancuso, G, Bartone, M, Calipari, D, Arcidiacono, G, Bellanuova, I, Ferraro, M, Marigliano, G, Cozzolino, D, Lampitella, A, Acri, V, Galasso, D, Mazzei, F, Buratti, A, Galasso, S, Porta, M, Brizzi, M, Fattorini, A, Sampietro, F, D'Angelo, A, Manfredini, R, Pala, M, Fabbian, F, Moroni, C, Valente, L, Lopreiato, F, Parente, F, Granata, M, Moia, M, Braham, S, Rossi, M, Pesce, M, Gentile, A, Catozzo, V, Baciarello, G, Cosimati, A, Ageno, W, Rancan, E, Guasti, L, Ciccaglioni, A, Negri, S, Polselli, M, Prisco, D, Marcucci, R, Ferro, D, Perri, L, Saliola, M, Delben, M, Angelico, F, Baratta, F, Migliacci, R, Porciello, G, Corrao, S, Napoleone, L, Talerico, G, Amoroso, D, Romiti, G, Ruscio, E, Toriello, F, Sperduti, N, Todisco, T, Ditanna, G, Sacchetti, M, Puddu, P, Farcomeni, A, Anzaldi, M, Bazzini, C, Bianchi, P, Boari, B, Buonauro, A, Butta, C, Buzzetti, E, Calabria, S, Capeci, W, Caradio, F, Carleo, P, Carrabba, M, Castorani, L, Cecchetto, L, Cicco, S, Cimini, C, Colombo, B, De Giorgi, A, Devuono, S, Delcorso, L, Denegri, A, Digiosia, P, Durante Mangoni, E, Falsetti, L, Forgione, A, Giorgini, P, Grassi, D, Grembiale, A, Hijazi, D, Iamele, L, Lorusso, G, Marchese, A, Marra, A, Masala, M, Miceli, G, Montebianco Abenavoli, L, Murgia, G, Naccarato, P, Pattoneri, P, Perego, F, Pesce, P, Piano, S, Pinna, M, Pinto, D, Pretti, V, Pucci, G, Salinaro, F, Salzano, A, Santilli, F, Scarpini, F, Scicali, R, Sirico, D, Suppressa, P, Talia, M, Tassone, E, Torres, D, Vazzana, N, Vecchio, C, Vidili, G, Vitale, F, Zaccone, V, Raparelli, V1, Pastori, D1, Pignataro, Sf1, Vestri, Ar2, Pignatelli, P1, Cangemi, R1, Proietti, M3, Davì, G4, Hiatt, Wr5, Lip, Gyh3, Corazza, Gr6, Perticone, F7, Violi, F8, Basili, S1, De Cristofaro, R, De Gennaro, L, Pasini, Af, Mulé, G, Di Raimondo, D, De Palma, D, De Luca, N, De Donato, Mt, Adinolfi, Le, Vincentelli, Gm, Lizzi, Em, Di Veroli, C, De Ciocchis, A, Fimognari, Fl, Fiorentino, Tv, Scarpino, Pe, De Feudis, L, Di Michele, D, De Ciantis, P, De Luca, E, De Zaiacomo, F, Sechi, La, Bruni, Aa, Pulixi, Ea, Serra, Mg, Rini, Gb, Muiesan, Ml, De Vincentis, A, Martino, Gp, Caruso, Aa, Sabbà, C, Brizzi, Mf, Del Ben, M, Romiti, Gf, Di Tanna, G, Sacchetti, Ml, Puddu, Pe, Bianchi, Pi, Buttà, C, Carrabba, Md, Colombo, Bm, De Vuono, S, Del Corso, L, Di Giosia, P, Marra, Am, Tassone, Ej, Vecchio, Cr, Zaccone, V., Pignataro, Sf, Vestri, Ar, Davì, G, Hiatt, Wr, Lip, Gyh, Corazza, Gr, Raparelli, Valeria, Pastori, Daniele, Pignataro, Serena Francesca, Vestri, Anna Rita, Pignatelli, Pasquale, Cangemi, Roberto, Proietti, Marco, Davì, Giovanni, Hiatt, William Robert, Lip, Gregory Yoke Hong, Corazza, Gino Roberto, Perticone, Francesco, Violi, Francesco, Basili, Stefania, Alessandri C., Serviddio G., Palange P., Greco E., Bruno G., Averna M., Giammanco A., Sposito P., De Cristofaro R., Carulli L., De Gennaro L., Pellegrini E. Cominacini L., Mozzini C., Pasini A.F., Sprovieri M., Spagnuolo V., Cerqua G., Cerasola G., Mulé G., Barbagallo M., Lo Sciuto S., Monteverde A., Saitta A., Lo Gullo A., Malatino L., Cilia C., Terranova V., Pisano M., Pinto A., Di Raimondo D., Tuttolomondo A., Conigliaro R., Signorelli S., De Palma D., Galderisi M., Cudemo G., Galletti F., Fazio V., De Luca N., Meccariello A., Caputo D., De Donato M. T., Iannuzi A., Bresciani A., Giunta R., Utili R., Iorio V., Adinolfi L.E., Sellitto C., Iuliano N., Bellis P., Tirelli P., Sacerdoti D., Vanni D., Iuliano L., Ciacciarelli M., Pacelli A., Palazzuoli A., Cacciafesta M., Gueli N., Lo Iacono C., Brusco S., Verrusio W., Nobili L., Tarquinio N., Pellegrini F., Vincentelli G.M., Ravallese F., Santini C., Letizia C., Petramala L., Zinnamosca L., Minisola S., Cilli M., Colangelo L., Falaschi P., Martocchia A., Pastore F., Bertazzoni G., Attalla El Halabieh E., Paradiso M., Lizzi E.M., Timmi S., Battisti P., Cerci S., Ciavolella M., Di Veroli C., Malci F., De Ciocchis A., Abate D., Castellino P., Zanoli L., Fidone F., Mannarino E., Pasqualini L., Oliverio G., Pende A., Artom N., Ricchio R., Fimognari F.L., Alletto M., Messina S., Sesti G., Arturi F., Succurro E, Fiorentino T.V., Pedace E., Scarpino P.E., Carullo G., Maio R., Sciacqua A., Frugiuele P., Spagnuolo V., Battaglia G., Atzori S., Delitala G., Angelucci E., Sestili S., Traisci G., De Feudis L., Di Michele D., Fava A., Balsano C., De Ciantis P., Desideri G., Camerota A., Mezzetti M., Gresele P., Vedovati C., Fierro T., Puccetti L., Bertolotti M., Mussi C., Boddi M., Savino A., Contri S., Degl’Innocenti G., Saller A., Fabris F., Pesavento R., Filippi L., Vedovetto V., Puato M., Fabris F., Treleani M., De Luca E., De Zaiacomo F., Giantin V., Semplicini A., Minuz P., Romano S., Fantin F., Manica A., Stockner I., Pattis P., Gutmann B., Catena C., Colussi G., Sechi L.A., Annoni G., Bruni A.A., Castagna A., Spinelli D., Miceli E., Padula D., Schinco G., Spreafico S., Secchi B., Vanoli M., Casella G., Pulixi E.A., Sansone L., Serra M.G., Longo S., Antonaci S., Belfiore A., Frualdo M., Palasciano G., Ricci L., Ventrella F., Bianco C., Santovito D., Cipollone F., Nicolai S., Salvati F., Rini G. B., Scozzari F., Muiesan M.L., Salvetti M., Bazza A., Picardi A., Vespasiani-Gentilucci U., De Vincentis A., Cosio P., Terzolo M., Madaffari B., Parasporo B., Fenoglio L., Bracco C., Melchio R., Gentili T., Salvi A., Nitti C., Gabrielli A., Martino G.P., Capucci A., Brambatti M., Sparagna A., Tirotta D., Andreozzi P., Ettorre E., Viscogliosi G., Servello A., Musumeci M., Delfino M., Giorgi A., Glorioso N., Melis G., Marras G., Matta M., Sacco A., Stellitano E., Scordo A., Russo F., Caruso A.A., Porreca E., Tana M., Ferri C., Cheli P., Portincasa P., Muscianisi G., Giordani S., Stanghellini V., Sabbà C., Mancuso G., Bartone M., Calipari D., Arcidiacono G., Bellanuova I., Ferraro M., Marigliano G., Cozzolino D., Lampitella A., Acri V., Galasso D., Mazzei F., Buratti A., Galasso S., Porta M., Brizzi M.F., Fattorini A., Sampietro F., D’Angelo A., Manfredini R., Pala M., Fabbian F., Moroni C., Valente L., Lopreiato F., Parente F., Granata M., Moia M., Braham S., Rossi M., Pesce M., Gentile A., Catozzo V., Baciarello G., Cosimati A., Ageno W., Rancan E., Guasti L., Ciccaglioni A., Negri S., Polselli M., Prisco D., Marcucci R., Ferro D., Perri L., Cangemi R., Saliola M., Del Ben M., Angelico F., Baratta F., Migliacci R., Porciello G., Corrao S. Data entry and Safety Monitoring Board: Proietti M., Raparelli V., Napoleone L., Talerico G., Amoroso D., Romiti G.F., Ruscio E., Toriello F., Sperduti N., Todisco T., Di Tanna G., Sacchetti M.L., Puddu P.E., Farcomeni A. Simi Young Internists Group: Anzaldi M., Bazzini C., Bianchi P.I., Boari B., Bracco C., Buonauro A., Buttà C., Buzzetti E., Calabria S., Capeci W., Caradio F., Carleo P., Carrabba M.D., Castorani L., Cecchetto L., Cicco S., Cimini C., Colombo B.M., De Giorgi A., De Vuono S., Del Corso L., Denegri A., Di Giosia P., Durante Mangoni E., Falsetti L., Forgione A., Giorgini P., Grassi D., Grembiale A., Hijazi D., Iamele L., Lorusso G., Marchese A., Marra A.M., Masala M., Miceli G., Montebianco Abenavoli L., Murgia G., Naccarato P., Padula D., Pattoneri P., Perego F., Pesce P., Piano S., Pinna M., Pinto D., Pretti V., Pucci G., Salinaro F., Salzano A., Santilli F., Scarpini F., Scicali R., Sirico D., Suppressa P., Talia M., Tassone E.J., Torres D., Vazzana N., Vecchio C.R., Vidili G., Vitale F., Zaccone V., Raparelli Valeria, Pastori Daniele, Pignataro Serena Francesca, Vestri Anna Rita, Pignatelli Pasquale, Cangemi Roberto, Proietti Marco, Davì Giovanni, Hiatt William Robert, Lip Gregory Yoke Hong, Corazza Gino Roberto, Perticone Francesco, Violi Francesco, Basili Stefania, Alessandri C, Serviddio G, Palange P, Greco E, Bruno G, Averna M, Giammanco A, Sposito P, De Cristofaro R, Carulli L, De Gennaro L, Pellegrini E, Cominacini L, Mozzini C, Pasini AF, Sprovieri M, Spagnuolo V, Cerqua G, Cerasola G, Mulé G, Barbagallo M, Lo Sciuto S, Monteverde A, Saitta A, Lo Gullo A, Malatino L, Cilia C, Terranova V, Pisano M, Pinto A, Di Raimondo D, Tuttolomondo A, Conigliaro R, Signorelli S, De Palma D, Galderisi M, Cudemo G, Galletti F, Fazio V, De Luca N, Meccariello A, Caputo D, De Donato MT, Iannuzi A, Bresciani A, Giunta R, Utili R, Iorio V, Adinolfi LE, Sellitto C, Iuliano N, Bellis P, Tirelli P, Sacerdoti D, Vanni D, Iuliano L, Ciacciarelli M, Pacelli A, Palazzuoli A, Cacciafesta M, Gueli N, Lo Iacono C, Brusco S, Verrusio W, Nobili L, Tarquinio N, Pellegrini F, Vincentelli GM, Ravallese F, Santini C, Letizia C, Petramala L, Zinnamosca L, Minisola S, Cilli M, Colangelo L, Falaschi P, Martocchia A, Pastore F, Bertazzoni G, Attalla El Halabieh E, Paradiso M, Lizzi EM, Timmi S, Battisti P, Cerci S, Ciavolella M, Di Veroli C, Malci F, De Ciocchis A, Abate D, Castellino P, Zanoli L, Fidone F, Mannarino E, Pasqualini L, Oliverio G, Pende A, Artom N, Ricchio R, Fimognari FL, Alletto M, Messina S, Sesti G, Arturi F, Succurro E, Fiorentino TV, Pedace E, Scarpino PE, Carullo G, Maio R, Sciacqua A, Frugiuele P, Battaglia G, Atzori S, Delitala G, Angelucci E, Sestili S, Traisci G, De Feudis L, Di Michele D, Fava A, Balsano C, De Ciantis P, Desideri G, Camerota A, Mezzetti M, Gresele P, Vedovati C, Fierro T, Puccetti L, Bertolotti M, Mussi C, Boddi M, Savino A, Contri S, Degl’Innocenti G, Saller A, Fabris F, Pesavento R, Filippi L, Vedovetto V, Puato M, Treleani M, De Luca E, De Zaiacomo F, Giantin V, Semplicini A, Minuz P, Romano S, Fantin F, Manica A, Stockner I, Pattis P, Gutmann B, Catena C, Colussi G, Sechi LA, Annoni G, Bruni AA, Castagna A, Spinelli D, Miceli E, Padula D, Schinco G, Spreafico S, Secchi B, Vanoli M, Casella G, Pulixi EA, Sansone L, Serra MG, Longo S, Antonaci S, Belfiore A, Frualdo M, Palasciano G, Ricci L, Ventrella F, Bianco C, Santovito D, Cipollone F, Nicolai S, Salvati F, Rini GB, Scozzari F, Muiesan ML, Salvetti M, Bazza A, Picardi A, Vespasiani-Gentilucci U, De Vincentis A, Cosio P, Terzolo M, Madaffari B, Parasporo B, Fenoglio L, Bracco C, Melchio R, Gentili T, Salvi A, Nitti C, Gabrielli A, Martino GP, Capucci A, Brambatti M, Sparagna A, Tirotta D, Andreozzi P, Ettorre E, Viscogliosi G, Servello A, Musumeci M, Delfino M, Giorgi A, Glorioso N, Melis G, Marras G, Matta M, Sacco A, Stellitano E, Scordo A, Russo F, Caruso AA, Porreca E, Tana M, Ferri C, Cheli P, Portincasa P, Muscianisi G, Giordani S, Stanghellini V, Sabbà C, Mancuso G, Bartone M, Calipari D, Arcidiacono G, Bellanuova I, Ferraro M, Marigliano G, Cozzolino D, Lampitella A, Acri V, Galasso D, Mazzei F, Buratti A, Galasso S, Porta M, Brizzi MF, Fattorini A, Sampietro F, D’Angelo A, Manfredini R, Pala M, Fabbian F, Moroni C, Valente L, Lopreiato F, Parente F, Granata M, Moia M, Braham S, Rossi M, Pesce M, Gentile A, Catozzo V, Baciarello G, Cosimati A, Ageno W, Rancan E, Guasti L, Ciccaglioni A, Negri S, Polselli M, Prisco D, Marcucci R, Ferro D, Perri L, Cangemi R, Saliola M, Del Ben M, Angelico F, Baratta F, Migliacci R, Porciello G, Corrao S, Proietti M, Raparelli V, Napoleone L, Talerico G, Amoroso D, Romiti GF, Ruscio E, Toriello F, Sperduti N, Todisco T, Di Tanna G, Sacchetti ML, Puddu PE, Farcomeni A, Anzaldi M, Bazzini C, Bianchi PI, Boari B, Buonauro A, Buttà C, Buzzetti E, Calabria S, Capeci W, Caradio F, Carleo P, Carrabba MD, Castorani L, Cecchetto L, Cicco S, Cimini C, Colombo BM, De Giorgi A, De Vuono S, Del Corso L, Denegri A, Di Giosia P, Durante Mangoni E, Falsetti L, Forgione A, Giorgini P, Grassi D, Grembiale A, Hijazi D, Iamele L, Lorusso G, Marchese A, Marra AM, Masala M, Miceli G, Montebianco Abenavoli L, Murgia G, Naccarato P, Pattoneri P, Perego F, Pesce P, Piano S, Pinna M, Pinto D, Pretti V, Pucci G, Salinaro F, Salzano A, Santilli F, Scarpini F, Scicali R, Sirico D, Suppressa P, Talia M, Tassone EJ, Torres D, Vazzana N, Vecchio CR, Vidili G, Vitale F, and Zaccone V
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Male ,Settore MED/09 - Medicina Interna ,030204 cardiovascular system & hematology ,Pulmonary Disease, Chronic Obstructive ,0302 clinical medicine ,Risk Factors ,Major cardiovascular event ,Cause of Death ,Risk of mortality ,Prevalence ,Medicine ,030212 general & internal medicine ,Prospective Studies ,Registries ,Prospective cohort study ,Stroke ,Cause of death ,COPD ,Chronic obstructive pulmonary disease ,Incidence ,Hazard ratio ,Atrial fibrillation ,Cardiovascular mortality ,Major cardiovascular events ,Aged ,Atrial Fibrillation ,Cardiovascular Diseases ,Endpoint Determination ,Female ,Follow-Up Studies ,Humans ,Italy ,Predictive Value of Tests ,Internal Medicine ,Emergency Medicine ,Atrial fibrillation, Cardiovascular mortality, Chronic obstructive pulmonary disease, Major cardiovascular events ,Cardiology ,Settore SECS-S/01 - Statistica ,medicine.medical_specialty ,Chronic Obstructive ,Socio-culturale ,Pulmonary Disease ,03 medical and health sciences ,Internal medicine ,cardiovascular diseases ,business.industry ,medicine.disease ,business ,Mace - Abstract
Chronic obstructive pulmonary disease (COPD) increases the risk of mortality in non-valvular atrial fibrillation (NVAF) patients. Data on the relationship of COPD to major cardiovascular events (MACE) in AF have not been defined. The aim of the study is to assess the predictive value of COPD on incident MACE in NVAF patients over a 3-year follow-up. In the Atrial Fibrillation Registry for Ankle-Brachial Index Prevalence Assessment-Collaborative Italian Study (ARAPACIS) cohort, we evaluate the impact of COPD on the following clinical endpoints: MACE (including vascular death, fatal/non-fatal MI and stroke/TIA), cardiovascular (CV) death and all-cause mortality. Among 2027 NVAF patients, patients with COPD (9%) are more commonly male, elderly and at higher thromboembolic risk. During a median 36.0months follow-up, 186 patients experienced MACE: vascular death (n = 72), MI (n = 57), stroke/TIA (n = 57). All major outcomes (including stroke/TIA, MI, vascular death, and all-cause death) are centrally adjudicated. Kaplan–Meier curves show that NVAF patients with COPD are at higher risk for MACE (p < 0.001), CV death (p < 0.001) and all-cause death (p < 0.001). On Cox proportional hazard analysis, COPD is an independent predictor of MACE (Hazard ratio [HR] 1.77, 95% Confidence Intervals [CI] 1.20–2.61; p = 0.004), CV death (HR 2.73, 95% CI 1.76–4.23; p < 0.0001) and all-cause death (HR 2.16, 95% CI 1.48–3.16; p < 0.0001). COPD is an independent predictor of MACE, CV death and all-cause death during a long-term follow-up of NVAF patients.
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- 2018
24. Measurement of coronary flow reserve in the anterior and posterior descending coronary arteries by transthoracic Doppler ultrasound.
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Voci P, Pizzuto F, Mariano E, Puddu PE, Chiavari PA, Romeo F, Voci, Paolo, Pizzuto, Francesco, Mariano, Enrica, Puddu, Paolo Emilio, Chiavari, Pier Andrea, and Romeo, Francesco
- Abstract
We describe for the first time transthoracic Doppler ultrasound assessment of coronary flow reserve (CFR) in both the posterior descending (PDA) and left anterior descending (LAD) coronary arteries. CFR (hyperemic/resting diastolic flow velocity ratio) was measured by 90-second intravenous adenosine infusion (140 microg/kg/min). Baseline PDA flow was detected in 62 of 81 subjects (76%), and the CFR was measurable in 44 of them (54%) because of adenosine-induced hyperventilation. According to angiography, these 44 subjects were divided into 3 groups: group 1 (0% to 29% stenosis), group 2 (30% to 69% stenosis), and group 3 (> or =70% stenosis). PDA CFR was 2.62 +/- 0.25 in 17 patients in group 1, 2.33 +/- 0.32 in 9 patients in group 2, and 1.40 +/- 0.54 in 18 patients in group 3 (F = 41.83, p <0.0001). LAD CFR was 3.31 +/- 0.54 in 15 patients in group 1, 2.49 +/- 0.71 in 10 patients in group 2, and 1.12 +/- 0.49 in 19 patients in group 3 (F = 65.68, p <0.0001). A cut-off of <2 identified > or =70% stenosis in both of the arteries supplying the PDA and in the LAD. Noninvasive measurement of PDA CFR is feasible and may improve with technologic advancement and the use of selective adenosine receptor agonists, thus preventing hyperventilation. [ABSTRACT FROM AUTHOR]
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- 2002
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25. Clinical value of echocardiographic assessment of coronary flow reserve after left anterior descending coronary artery stenting in an unselected population
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Enrica Mariano, Giovanni Gregorio, Rodolfo Citro, Gennaro Provenza, Paolo Voci, Francesco Pizzuto, Anton Giulio Maione, Eduardo Bossone, Paolo Emilio Puddu, Georgeos Athanassopoulos, Marco Mariano Patella, Matthew J. Feinstein, Citro, R, Voci, P, Plzzuto, F, Maione, Ag, Patella, Mm, Bossone, E, Provenza, G, Gregorioa, G, Mariano, E, Feinstein, M, Athanassopoulos, G, and Puddu, Pe
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Male ,medicine.medical_specialty ,coronary flow reserve ,medicine.medical_treatment ,Coronary Disease ,Doppler echocardiography ,Anterior Descending Coronary Artery ,Coronary Angiography ,Sensitivity and Specificity ,Coronary artery disease ,Coronary Restenosis ,Restenosis ,Heart Rate ,Internal medicine ,Angioplasty ,Coronary Circulation ,Heart rate ,Medicine ,Humans ,Myocardial infarction ,medicine.diagnostic_test ,business.industry ,Coronary flow reserve ,General Medicine ,coronary angioplasty ,Middle Aged ,medicine.disease ,Echocardiography, Doppler ,Cardiology ,Female ,Stents ,Cardiology and Cardiovascular Medicine ,business ,coronary artery disease - Abstract
BACKGROUND Transthoracic Doppler echocardiography is a valuable tool to measure coronary flow reserve (CFR) and detect in-stent restenosis (ISR) after percutaneous coronary angioplasty in selected series of patients. OBJECTIVES To assess the usefulness of coronary flow reserve measured by echocardiography in detecting significant (> or =70%) ISR of the left anterior descending coronary artery in a large unselected population. METHODS Two hundred and twenty-three patients (age 61 +/- 10 years; 168 men) treated with left anterior descending stenting underwent CFR measurement by transthoracic Doppler echocardiography and venous adenosine infusion 24-72 h before control coronary angiography. Coronary-active drugs were continued, and patients with multiple risk factors and old anterior-apical myocardial infarction were included. RESULTS Significant ISR occurred in 56 patients (25%). Patients with ISR had higher basal coronary flow velocity (27 +/- 10 cm/s vs. 24 +/- 7 cm/s; P < 0.002) and lower CFR (1.5 +/- 0.5 vs. 2.7 +/- 0.6; P < 0.0001) than those without ISR. A linear relation was found between ISR and CFR (r = -0.73; P < 0.0001) and remained significant after adjustment for blood pressure and heart rate (r = -0.74; P < 0.0001). A CFR less than two identified significant ISR (sensitivity 88%, specificity 88%, area under the curve = 0.943; P < 0.001). In a multivariate model of CFR prediction, myocardial infarction and heart rate were slightly contributory (ss = -0.19, P < 0.01; ss = -0.16, P < 0.03, respectively), whereas ISR had a large influence (ss = -0.66; P < 0.0001). The inverse correlation between ISR and CFR persisted in patients with myocardial infarction (r = -0.64; P < 0.0001) and in those treated with beta-blockers (r = -0. 71; P < 0.0001). CONCLUSION Echocardiographic measurement of CFR detects significant left anterior descending ISR in unselected patients with multiple risk factors, old anterior-apical myocardial infarction, and taking beta-blockers.
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- 2008
26. Red blood cell count in short-term prediction of cardiovascular disease incidence in the Gubbio population study
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Mariapaola Lanti, Alessandro Menotti, Massimo Cirillo, Walter Panarelli, Paolo Emilio Puddu, Alberto Zanchetti, Mario Mancini, Mario Angeletti, Puddu, Pe, Lanti, M, Menotti, A, Mancini, M, Zanchetti, A, Cirillo, Massimo, Angeletti, M, and GUBBIO STUDY RESEARCH, Group
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Adult ,Male ,medicine.medical_specialty ,Time Factors ,Population ,Coronary Disease ,Hematocrit ,Sampling Studies ,Predictive Value of Tests ,Risk Factors ,Internal medicine ,medicine ,Humans ,Risk factor ,education ,Aged ,Proportional Hazards Models ,education.field_of_study ,medicine.diagnostic_test ,Proportional hazards model ,business.industry ,Incidence (epidemiology) ,Incidence ,General Medicine ,Middle Aged ,Confidence interval ,Surgery ,Uric Acid ,Italy ,Cardiovascular Diseases ,Relative risk ,Cardiology ,Erythrocyte Count ,Population study ,Female ,Cardiology and Cardiovascular Medicine ,business ,Follow-Up Studies - Abstract
OBJECTIVE The Gubbio Study is an Italian population study measuring risk factors and incidence for major cardiovascular diseases. This analysis investigates the association between red blood cell (RBC) count, after preliminarily taking into account haematocrit, and incidence of coronary and cardiovascular events. METHODS A population sample of 2,469 men and women aged 35-74 years, free from major cardiovascular diseases and in whom RBC count and haematocrit were measured in 1983 along with other standard risk factors, were followed up for 6 years and incidence was estimated for both fatal and non-fatal coronary heart disease (CHD) and all cardiovascular atherosclerotic (CVD) events. Proportional hazards models were solved for the prediction of these events. RESULTS In six years 61 CHD hard criteria, 109 CHD any criterion and 149 CVD events were recorded. Preliminarily, both haematocrit and RBC count, two highly correlated variables, were studied to predict CVD events; however, haematocrit did not contribute multivariately, in the overall population and separately in men and women. Age-adjusted rates per 1,000 of the 3 event categories were computed in sex-specific RBC count quintiles (Q) and a difference was observed between Q5 and Q1 (with 5.21 +/- 0.31 and 4.18 +/- 0.23 x 10(6) per microl, respectively) for CHD any criterion (p < 0.07) and CVD (p < 0.05). P on trends was < 0.05 for both end-points. In multivariate models, adjusted for 7 other risk factors, RBC count contributed a weak statistical significance to predict CVD incidence [relative risk (RR) for a 0.5 x 10(6) per microl difference 1.23 with 95% confidence intervals (CI) 1.00- 1.51], whereas its contribution to predict CHD any criterion (RR = 1.19 with CI 0.93- 1.51) and CHD hard criteria (RR = 1.15 with Cl 0.83-1.58) was not statistically significant. Inclusion of blood glucose and presence of diuretics (11.33% of the population) as possible confounders had no major effect although the latter were, as expected, a significant risk factor (RR = 1.90 with Cl 1.28-2.82) which further diluted the CVD predictive role of RBC count (RR = 1.22 with CI 0.99- 1.50). CONCLUSIONS Increased RBC count is independently (yet weakly) associated with risk of CVD events in the 6-year follow-up of the Gubbio Study. Longer follow-up is needed before the contributory role of RBC count can be properly assessed to explain CHD incidence.
27. Diabetes Duration and the Reverse Impact Between Cholesterol Levels and Risk Among Individuals With Type 2 Diabetes.
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Puddu PE and Menotti A
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- 2024
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28. Marital status and long-term cardiovascular risk in general population-RIFLE project (Italy).
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Rabiaza A, Puddu PE, Menotti A, and Humbert X
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- Humans, Female, Male, Middle Aged, Italy epidemiology, Risk Factors, Adult, Coronary Disease mortality, Coronary Disease epidemiology, Aged, Incidence, Marital Status statistics & numerical data, Cardiovascular Diseases mortality, Cardiovascular Diseases epidemiology
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Background: The impact of marital status on cardiovascular disease (CVD) remains controversial in the general population., Aim: The present investigation sought to delineate the association between marital status and long-term major non-fatal and fatal CVD, along with all-cause mortality within the scope of the RIFLE project (Risk Factors and Life Expectancy)., Methods: We examined the incidences of CVD, including cerebrovascular accidents and coronary heart disease (CHD), as well as all-cause mortality. In total, 47,167 individuals (46% female, average age 50 ± 9 years) were included in the analysis. Marital status at inception was categorized into married (inclusive of married or cohabitating) versus unmarried cohorts (including widowed, separated, divorced, or single individuals)., Results: Compared to their married counterparts, unmarried subjects demonstrated a heightened risk for CVD in both females and males. Throughout a median follow-up span of 7.4 years (interquartile range from 6 to 9 years), married participants, adjusting for standard risk factors, exhibited reduced mortality rates attributed to CHD [hazard ratio (HR) 0.54 (95% confidence interval (CI) 0.33-0.86)) and all causes (HR 0.75 (95% CI 0.62-0.91)] within the aggregate population; this reduction persisted for both CHD-specific [HR 0.39 (95% CI 0.51-0.90)]and all-cause mortality [HR 0.68 (95% CI 0.51-0.90)], independent of traditional risk factors in women. No associations were evident between matrimonial status and any measured outcomes in males., Conclusions: Within primary care settings, marital status should be considered a potential correlate of long-term CHD and overall mortality risks, especially among women., (© 2024. The Author(s), under exclusive licence to Royal Academy of Medicine in Ireland.)
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- 2024
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29. Physical activity and physical fitness in prediction of all-cause mortality and age at death in European extinct cohorts of middle-aged men followed for 60 years.
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Menotti A, Puddu PE, Geleijnse JM, Kafatos A, and Tolonen H
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- Humans, Male, Middle Aged, Time Factors, Risk Assessment, Risk Factors, Age Factors, Europe epidemiology, Predictive Value of Tests, Follow-Up Studies, Prognosis, Physical Fitness, Cause of Death, Exercise
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Aims: A study of the power of physical activity (Phyac) and physical fitness (Fitscore) in predicting very long-term all-cause mortality and age at death (AD) is missing., Methods and Results: A total of 5482 middle-aged men were examined with measurement of several risk factors and followed for 60 years until the virtual extinction of cohorts. Phyac in three classes was estimated from their type of work while Fitscore was derived from the linear combinations of levels of arm circumference, heart rate, and vital capacity computed as a factor score by principal components analysis. The predictive power of these characteristics (adjusted for five traditional cardiovascular risk factors) was made by Cox models (for all-cause mortality) and multiple linear regression models (for AD). Single levels of the three indicators of fitness were highly related to the three levels of Phyac and of Fitscore. High levels of both Phyac and of Fitscore forced into the same models were associated with lower all-cause mortality and higher AD. The predictive power of Fitscore was systematically better than that of Phyac. Hazard ratios (high vs. low) for all-cause mortality were 0.85 (Phyac) and 0.70 (Fitscore). The coefficients (all significant) were 2.25 years (Phyac) and 3.79 of AD by Fitscore. Fitscore was independently and significantly predictive of all-cause mortality for both the first and second 30-year follow-up periods., Conclusion: Phyac and Fitscore are related, and both showed important predictive power for all-cause mortality and AD. The role of Fitscore was more powerful, and both characteristics seem to be expressions of health status., Competing Interests: Conflict of interest: none declared., (© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)
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- 2024
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30. Dietary atherogenicity and thrombogenicity indexes predicting cardiovascular mortality: 50-year follow-up of the Seven Countries Study.
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Menotti A, Puddu PE, Geleijnse JM, Kafatos A, and Tolonen H
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- Humans, Male, Middle Aged, Follow-Up Studies, Time Factors, Risk Assessment, Adult, Europe epidemiology, Diet adverse effects, Diet mortality, Dietary Fats adverse effects, Cause of Death, Coronary Disease mortality, Coronary Disease diagnosis, Fatty Acids adverse effects, Risk Factors, Cardiovascular Diseases mortality, Cardiovascular Diseases diagnosis, Stroke mortality, Cerebrovascular Disorders mortality, Atherosclerosis mortality, Atherosclerosis epidemiology
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Background and Aim: To study the relationships of an Atherogenicity Index (ATI) and a Thrombogenicity Index (THI), with 50-year mortality from coronary heart disease (CHD), other heart diseases of uncertain etiology (HDUE) and cerebrovascular disease or stroke (STR), in 16 international cohorts of middle-aged men., Methods and Results: Foods from a dietary survey in subsamples of men in each cohort of the Seven Countries Study (SCS) were chemically analyzed for several types of fatty acids that were converted into ATI and THI identifying each of 16 cohorts. Ecological correlations of the ATI and THI were calculated with the three fatal CVD conditions and with all-cause mortality at 25 and 50 years. Correlation coefficients (Rs) were positive and highly significant between ATI and THI versus CHD mortality, with levels ranging from 0.79 to 0.97, depending on the duration of follow-up and the choice of 10 or of 16 cohorts. This was not the case for HDUE and STR mortality for which Rs were variable and not significant. A strong direct association was also found with all-causes deaths at 25 and 50-years. ATI and THI were also directly related with dietary saturated fat and cholesterol levels and inversely with the Mediterranean Adequacy Index (a score identifying the Mediterranean diet)., Conclusion: These findings indicate that CHD has a different relationship with dietary lipids intake than HDUE and STR. This suggests that HDUE and STR have different underlying pathways or are different diseases., (Copyright © 2024 The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved.)
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- 2024
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31. Population dietary-metabolic characteristics and mortality from major cardiovascular disease subtypes: the Seven Contries Study 60-year follow-up.
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Menotti A and Puddu PE
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- Humans, Male, Middle Aged, Time Factors, Follow-Up Studies, Risk Assessment, Fatty Acids blood, Biomarkers blood, Europe epidemiology, Cause of Death, Heart Disease Risk Factors, Protective Factors, Aged, Prognosis, Risk Factors, Diet, Mediterranean, Cardiovascular Diseases mortality, Cardiovascular Diseases diagnosis, Cholesterol blood, Dietary Fats administration & dosage, Dietary Fats adverse effects, Diet, Healthy
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Background and Aim: During the last few years, the Seven Countries Study of Cardiovascular Diseases (SCS) produced some new analyses dealing with the relationships of a dietary score, the pool of dietary fatty acids and serum cholesterol with major types of cardiovascular disease (CVD) mortality in 10 cohorts of 6 countries made of middle-aged men followed-up for 60 years until extinction. This sparse evidence is condensed here to provide a coherent view., Methods and Results: The Mediterranean Adequacy Index (MAI, a dietary score whose high levels depict the characteristics of the Mediterranean Diet), was highly and significantly associated in an inverse way, at country levels, with the Atherogenicity (ATI) and the Thrombogenicity (THI) indexes that included a series of dietary fatty acids. These indexes were highly and significantly associated in a direct way with country baseline serum cholesterol levels. Countries with high serum cholesterol had largely higher death rates from coronary heart disease (CHD) and lower rates from other heart diseases of uncertain etiology and stroke. The reverse was observed in countries with low serum cholesterol., Conclusion: The chain of diet, dietary fatty acids and serum cholesterol seems to be responsible in various ways for the different distribution of major CVD mortality subtypes in extincted cohorts., Competing Interests: Declaration of competing interest The authors report no relationships that could be construed as a conflict of interest. The authors certify that they complied with the Principles of Ethical Publishing Rules., (Copyright © 2024 The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University. All rights reserved.)
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- 2024
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32. Cardiovascular Risk Factors Predicting Cardiovascular and Cancer Deaths in a Middle-Aged Population Followed-Up for 61 Years until Extinction.
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Menotti A, Puddu PE, and Piras P
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Background and Aim: To study the relationships of cardiovascular risk factors with cancer and cardiovascular mortality in a cohort of middle-aged men followed-up for 61 years., Materials and Methods: A rural cohort of 1611 cancer- and cardiovascular disease-free men aged 40-59 years was examined in 1960 within the Italian Section of the Seven Countries Study, and 28 risk factors measured at baseline were used to predict cancer ( n = 459) and cardiovascular deaths ( n = 678) that occurred during 61 years of follow-up until the extinction of the cohort with Cox proportional hazard models., Results: A model with 28 risk factors and cancer deaths as the end-point produced eight statistically significant coefficients for age, smoking habits, mother early death, corneal arcus, xanthelasma and diabetes directly related to events, and arm circumference and healthy diet inversely related. In the corresponding models for major cardiovascular diseases and their subgroups, only the coefficients of age and smoking habits were significant among those found for cancer deaths, to which healthy diet can be added if considering coronary heart disease alone. Following a competing risks analysis by the Fine-Gray method, risk factors significantly common to both conditions were only age, smoking, and xanthelasma., Conclusions: A sizeable number of traditional cardiovascular risk factors were not predictors of cancer death in a middle-aged male cohort followed-up until extinction.
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- 2024
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33. Time Changes of Survival and Cardiovascular Determinants in a Cohort of Middle-Aged Men Followed Up for 61 Years until Extinction.
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Menotti A and Puddu PE
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Objective: To study possible determinants of longevity in a cohort of middle-aged men followed for 61 years until extinction using measurements taken at baseline and at years 31 or 61 of follow-up., Material and Methods: In 1960, two rural cohorts including a total of 1712 men aged 40-59 years were enrolled within the Italian section of the Seven Countries Study of Cardiovascular Diseases, and measurements related to mainly cardiovascular risk factors, lifestyle behaviors, and chronic diseases were taken at year 0 and year 31 of follow-up (when only 390 could be examined). Multiple linear regression models were computed to relate personal characteristics with the length of survival in both dead men and survivors., Results: Baseline cardiovascular risk factors, smoking and dietary habits, and chronic diseases (taken at year 0 with men aged 40-59 years) were significant predictors of the length of survival both from year 0 to year 31 and from year 0 to year 61, but only chronic diseases were independent predictors for the period of 31 to 61 years. Significant predictors of survival using measurements taken at year 31 (age range 71 to 90 years) were only smoking and dietary habits and chronic diseases., Conclusions: During a lifetime of follow-up, the personal characteristics with continuous predictive power of survival were only lifestyle behaviors and major chronic diseases.
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- 2024
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34. [Effet blouse blanche résiduel : un outil pertinent en soins premiers?]
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Humbert X, Touze E, Le Bas J, Schonbrodt L, Couette PA, De Jaegher S S, Pithon A, Alexandre J, and Puddu PE
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- Male, Humans, Female, Cross-Sectional Studies, Blood Pressure physiology, Blood Pressure Monitoring, Ambulatory, Hypertension diagnosis, White Coat Hypertension diagnosis
- Abstract
Background: White coat effect (WCE) and white coat hypertension (WCH) are hardly both compared in primary care., Objective: To assess the usefulness of repeated measures of systolic blood pressure (SBP) to dissociate various forms of white-coat interactions., Methods: An open cross-sectional study on consecutive patients treated or not for high blood pressure was made in family physicians' offices. SBP was measured 5 times by an electronic device. Measurements were performed before (SBP1) and after (SBP5) the office visit by a lay assistant and at the beginning (SBP2), middle (SBP3) and end (SBP4) of visit, by the family physician. Home BP (HBPM) was measured from 3 consecutive days by the patient. WCE and office WCE tail (OWCET) were defined, respectively, as a 10 mmHg SBP increase or decrease between SBP2-SBP1 or SBP4-SBP2. WCH was considered when HBPM was normal (SBP < 135 mmHg) at home and high during the SBP2 office visit., Results: Two hundred five patients (134 women versus 71 men, ratio 1.9, aged 59.8±15.7 years) were recruited. In categorical terms, there were 51 patients (25%) who presented with WCE, OWCET was seen in 121 patients (62%) and 47 patients (23%) had WCH. Only 36 patients (18%) presented both OWCET and WCE and 32 (16%) had both OWCET and WCH. The receiver operating characteristic curves (ROCs) of OWCET in diagnosing WCE or WCH were respectively 0.67 (p<0.0001) and 0.53 (NS)., Conclusion: Thus, OWCET was predictive of WCE and not of WCH and it is worthwhile to be measured in the family physician office., Competing Interests: Declaration of competing interest The Authors declare that they have no conflict of interest to disclose. This work was carried out as part of a PhD thesis at the University of Caen Normandy (France)., (Copyright © 2024 Elsevier Masson SAS. All rights reserved.)
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- 2024
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35. Mortality Time-Trends of Different Cardiovascular Diseases in a Practically Extinct Cohort of Italian Middle-Aged Men Followed-Up for 61 Years: A Possible Etiological Explanation?
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Puddu PE, Piras P, and Menotti A
- Abstract
Purpose: To study a male Italian cohort (initially aged 40-59, n = 1712) during 61 years and the natural history of major CVD mortality categories including coronary heart disease (CHD), stroke and other heart diseases of uncertain etiology (HDUE), including congestive heart failure) along with their risk factor relationships., Methods and Results: Cox models were run with 12 covariates as possible predictors measured at entry to the study. About 93% of all CVD deaths were covered by the three major groups selected here (N = 751): 37.4% of them were diagnosed as CHD, 30.6% as stroke and 28.5% as HDUE. CHD declined in the last 20 years of follow-up, while a sharp increase in HDUE mortality was seen. Baseline mean levels of serum cholesterol were 209.6, 204.2 and 198.0 mg/dL, respectively, for CHD, stroke and HDUE deaths: the multivariable coefficients of serum cholesterol were positive and significant for CHD ( p < 0.0001), and stroke ( p = 0.0203) and not significant for HDUE ( p = 0.3467). In Fine-Gray models, the algebraic signs of cholesterol coefficients were opposite for CHD versus the other mortality categories (t = 3.13). The predictive performances of remaining risk factors were varied whereas that of Cox models was not very good, probably due to the attrition phenomenon and possible competing risks., Conclusion: Large differences in natural history and risk factors were found comparing the three CVD conditions, potentially indicating different etiologies and pointing to the need of not mixing them up in a grouped CVD category.
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- 2024
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36. In Search of Risk Factors: The Origin and Early Stages of Cardiovascular Epidemiology.
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Menotti A and Puddu PE
- Abstract
Based mainly on their personal experience, the authors try to describe the origin of cardiovascular disease (CVD) epidemiology and the problems and difficulties practitioners attempted to tackle and solve during the first few decades of this discipline, which started around the middle of the last century. Beyond identifying the characteristics of those who became CVD epidemiologists, a description is given of the initial structures of the involved studies, participation rates, risk factors measurements and standardization, clinical measurements and diagnostic criteria, mortality data collection and coding, data loading and analysis, plus a number of problems still unsolved at the beginning of the 2000s. Despite many obstacles, and the initial hostility of the medical-scientific establishment, CVD epidemiology represented a revolution in researching in the bio-medical field. In the end, it also affected clinical research introducing the use of the quantitative approach bound to mathematical-statistical procedures. After decades of hard work and the development of a number of innovative tools, CVD epidemiology received its deserved recognition, eventually being accepted as a reputable and independent scientific discipline. Yet, in several countries, especially those from Southern Europe, an academic recognition of CVD epidemiology is still lacking.
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- 2024
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37. Competing Risks of Coronary Heart Disease Mortality versus Other Causes of Death in 10 Cohorts of Middle-Aged Men of the Seven Countries Study Followed for 60 Years to Extinction.
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Puddu PE, Piras P, Kafatos A, Adachi H, Tolonen H, and Menotti A
- Abstract
Objectives: To assess whether competing risks help explain why regions with initially high serum cholesterol have higher mortality from coronary heart disease (CHD) and lower mortality from stroke and other major heart diseases, while the reverse is found for those with initially lower serum cholesterol., Material and Methods: Ten cohorts of men (N = 9063) initially aged 40-59 in six countries were examined and followed for fatal outcomes for 60 years. Major cardiovascular disease (CVD) groups were CHD, stroke, and other Heart Diseases of Uncertain Etiology (HDUE), or the combination of stroke and HDUE (STHD), along with all other causes of death. Fine-Gray competing risk analysis was applied with CHD versus all other causes of death or STHD (direct mode) and all other causes of death or STHD versus CHD (inverse mode), and the effects of 19 covariates (of which 3 references) on the cause-specific hazard of the outcomes were assessed, thus investigating potential etiologic roles. A systematic comparison with results obtained by running the Cox model in direct and inverse modes with the same end-point results was also performed and illustrated graphically., Results: CHD mortality is bound to different risk factor relationships when compared with all other causes of death and with STHD. The role of serum cholesterol is crucial since, in both comparisons, by Fine-Gray, its coefficients are positive and significant for CHD and negative and significant for all other causes of death and STHD. Risk factor capabilities in specific outcome types of the CVD domain (CHD versus STHD) are different depending on the outcome types considered. Risk factor coefficients are smaller in Fine-Gray modelling and larger in the Cox model. Fine-Gray detects different risk factors whose coefficients may have opposite algebraic signs., Conclusions: This is the first report whereby a large group of risk factors are investigated in connection with life-long CVD outcomes by Fine-Gray competing risk analysis, and a systematic comparison is performed with results obtained by Cox models in both direct and inverse modes. Subtypes of CVD mortality should be summed with full awareness that some risk factors vary by pathology, and they should at least be disentangled into CHD and STHD.
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- 2023
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38. Cardiac arrests associated with low plasma and tissue levels of local anaesthetics.
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Alexandre J, Humbert X, Sassier M, Cesbron A, Le Naourès C, Pottier V, Puddu PE, Milliez P, Coquerel A, and Fedrizzi S
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- 2023
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39. Relationship between lifestyle factors and hypertension: a cross-sectional analysis from the Gubbio study.
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Humbert X, Licaj I, Fedrizzi S, Alexandre J, Menotti A, Manrique A, Allouche S, Touzé E, Terradura-Vagnarelli O, and Puddu PE
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- Humans, Male, Female, Adult, Middle Aged, Cross-Sectional Studies, Blood Glucose, Blood Pressure, Risk Factors, Life Style, Uric Acid, Hypertension diagnosis, Hypertension epidemiology, Hypertension etiology
- Abstract
Background: Hypertension (HTN) is a well-established and a major risk factor for cardiovascular disease. Lifestyle behaviours for its prevention and control are recommended within worldwide guidelines. Their relationship with HTN need more investigations., Aim: We aimed to investigate the associations between lifestyle, anthropometric and biological measurements and BP in the Gubbio residential study., Methods: Cross-sectional analyses were performed using data from Gubbio study. Information concerning lifestyle factors were collected using self-reported questionnaire and were further completed with a baseline clinical examination and blood exams. Three BP measurements were performed following a standard protocol. Age-adjusted and multivariable logistic regressions were used to examine the relationships between lifestyle parameters and HTN separately for each sex. We used heterogeneity test to observe sex differences., Results: There were 3,183 persons included (48% men, 43 ± 17 years old). Mean systolic BP (SBP) was 119 ± 16 mmHg and 10.6% were hypertensives. Age [OR: 129.70 (95%CI: 18.57-905.79) in women and OR: 8.37 (95%CI: 4.01-17.48) ( p < 0.0001) in men] and BMI [OR: 2.14 (95%CI: 1.32-3.46) ( p = 0.006) in women and OR: 1.81 (95%CI: 1.05-3.12), p = 0.03 in men], were positively associated with SBP in both sexes. Serum uric acid [OR: 3.86 (95%CI: 2.03-7.26), p = 0.04] was positively associated with HTN in women while fasting blood glucose [OR: 3.04 (95%CI: 1.55-5.97), p < 0.001] were associated to HTN only in men., Discussion: In addition to age, BMI is associated with HTN in both sexes while sex differences were observed in the associations between serum uric acid, fasting blood glucose and HTN.
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- 2023
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40. Lifestyle behaviours predicting major cardiovascular diseases mortality in a practically extinct cohort of middle-aged men followed-up for 61 years.
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Menotti A, Puddu PE, and Catasta G
- Subjects
- Middle Aged, Male, Humans, Follow-Up Studies, Risk Factors, Life Style, Proportional Hazards Models, Cardiovascular Diseases, Heart Diseases etiology, Coronary Disease epidemiology, Stroke
- Abstract
To study lifetime relationships of three major lifestyle behaviours with cardiovascular mortality in a cohort of middle-aged men that reached practical extinction. In the Italian Areas of the Seven Countries Study of Cardiovascular Diseases (SCS), 1712 men were enrolled and examined in 1960, and behavioural habits were measured: smoking habits, physical activity and diet each divided into three classes. Follow-up for mortality was extended for 61 years. Three groups of major cardiovascular diseases (CVD) were used for analysis, coronary heart disease (CHD), STROKE and other Heart Diseases of Uncertain Aetiology (HDUE). Kaplan-Meier curves, death rates in classes of behaviours and Cox proportional hazard models were computed, the last ones adjusted for other major risk factors.In 61 years of follow-up, 1708 men died and 727 were cases of CVD as defined above. Clear separation of classes in Kaplan-Meier survival curves were seen only for physical activity and diet in CHD, and physical activity for STROKE. Cox proportional hazard ratios (HR, adjusted for age, blood pressure and serum cholesterol) showed the significant protective effect on CHD of Mediterranean diet (HR = 0.72), vigorous physical activity (0.55), never smoking (0.73); on STROKE of vigorous physical activity (0.67); on HDUE of never smoking (0.57). Combination of three healthy versus three unhealthy behaviours was associated for CHD to a lower mortality of 39%. This comparison was not coherent for STROKE and HDUE.Lifetime healthy behaviours are clearly beneficial versus CHD mortality but not necessarily for mortality from HDUE and STROKE that probably represent different morbid conditions.
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- 2023
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41. Focus on age at death in field epidemiology.
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Menotti A and Puddu PE
- Subjects
- Humans, Risk Factors, Longevity
- Abstract
Age at death (AD) is an old metric recently re-evaluated for the study of longevity and mainly used in demography. Developed experience using AD in field epidemiology is summarized with cohorts followed-up for variable periods of time, frequently until extinction or close to extinction, a must to correctly adopt this metric. For practical purposes, a small number of examples is reported condensing previously published results to highlight various aspects of the problem. AD became the alternative of overall death rates when comparing cohorts reaching extinction or near extinction. AD was useful to characterize different causes of death in order to describe their natural history and possible etiology. With the use of multiple linear regression, a large number of possible determinants of AD were identified and some combinations of them resulted in large estimated differences in AD of 10 years or more across individuals. AD is a powerful tool to study population samples followed-up until extinction or near extinction. It allows to compare the life-long experience of different populations, to compare the role of different causes of death and to study the determinants of AD that are conditioning longevity., (© 2023. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)
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- 2023
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42. Cardiovascular Mortality in 10 Cohorts of Middle-Aged Men Followed-Up 60 Years until Extinction: The Seven Countries Study.
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Menotti A, Puddu PE, Kafatos AG, Tolonen H, Adachi H, and Jacobs DR Jr
- Abstract
Objectives: To investigate mortalities from three major groups of cardiovascular diseases (CVDs) in a pooled cohort and followed up until extinction., Materials and Methods: Ten cohorts of men ( N = 9063) initially aged 40-59, in six countries, were examined and followed-up for 60 years. The major CVD groups were coronary heart disease (CHD), cerebrovascular diseases (STROKE) and other heart diseases of uncertain etiology (HDUE)., Results: Death rates from CHD were higher in countries with high serum cholesterol levels (USA, Finland and The Netherlands) and lower in countries with low cholesterol levels (Italy, Greece and Japan), but the opposite was observed for STROKE and HDUE, which became the most common CVD mortalities in all countries during the last 20 years of follow-up. Systolic blood pressure and smoking habits were, at an individual level, the common risk factors for the three groups of CVD conditions, while serum cholesterol level was the most common risk factor only for CHD. Overall, death rates for the pooled CVDs were 18% higher in North American and Northern European countries, while CHD rates were 57% higher in the same countries., Conclusions: Differences in lifelong CVD mortalities across different countries were smaller than expected due to the different rates of the three groups of CVD, and the indirect determinant of this seemed to be baseline serum cholesterol levels.
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- 2023
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43. Marital status and long-term cardiovascular risk in general population (Gubbio, Italy).
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Humbert X, Rabiaza A, Fedrizzi S, Alexandre J, Menotti A, Touzé E, Laurenzi M, Terradura-Vagnarelli O, and Puddu PE
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- Male, Humans, Female, Adult, Middle Aged, Aged, Risk Factors, Marital Status, Heart Disease Risk Factors, Italy epidemiology, Cardiovascular Diseases epidemiology, Coronary Disease epidemiology
- Abstract
To investigate whether marital status is associated to long-term major fatal and non-fatal cardiovascular events in men and women from the Gubbio Population Study. The incidence of cardiovascular disease (CVD), including stroke and coronary heart disease (CHD) and CVD death together with all-cause mortality were analyzed. The analysis included 2832 persons (44% men, 54 ± 11 years old). Marital status was defined at entry as married (married or living conjugally) versus unmarried subjects (widowed, separated, divorced or single). Married and unmarried subjects did not differ concerning socio-demographic, anthropometric and biological variables at baseline. Over 191 months median follow-up, the incidence of CHD was lower among married versus unmarried women [HR: 0.63 (95% CI 0.41-0.96)] only; the same was true for CHD mortality [HR: 0.43 (95% CI 0.22-0.84)] and all-cause mortality [HR: 0.75 (95% CI 0.59-0.96)] independently of traditional risk factors (age, SBP, total and HDL cholesterol, cigarette smoke and BMI). In men, marital status was not associated to any of the investigated outcomes. In primary care, marital status should be investigated as it can be associated with long-term CHD and all-cause incidence and mortality risks among women., (© 2023. The Author(s).)
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- 2023
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44. Heart Diseases of Uncertain Etiology: A New Definition of Heart Failure for Epidemiological Studies.
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Puddu PE and Menotti A
- Abstract
It has been a long time since, in the spectrum of ischemic (IHD) or coronary (CHD) heart diseases, a differentiation was performed between the forms presenting with and those without pain [...].
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- 2023
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45. Cardiovascular mortality in Northern and Southern European cohorts of the Seven Countries Study at 60-year follow-up.
- Author
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Menotti A, Puddu PE, Tolonen H, and Kafatos A
- Subjects
- Male, Humans, Follow-Up Studies, Europe epidemiology, Risk Factors, Cholesterol, Heart Diseases complications, Coronary Disease diagnosis, Cardiovascular Diseases diagnosis, Cardiovascular Diseases complications, Stroke diagnosis
- Abstract
Objectives: The aim of this study was to describe and interpret differences in major cardiovascular disease (CVD) mortality during 60 years between Northern European and Southern European cohorts of the Seven Countries Study of Cardiovascular Diseases., Material and Methods: Northern Europe included two cohorts from Finland and one from the Netherlands, and Southern Europe included two cohorts from Italy and two from Greece, for a total of 2360 and 2792 CVD-free men, respectively, at entry examination. Coronary heart disease (CHD), STROKE and other Heart Diseases of Uncertain Etiology (HDUE) deaths were the outcomes and Cox models were solved separately based on 12 risk factors., Results: In 60 years, overall death rates were 99.8% in both Northern and Southern Europe and the pooled CVD rates were 46.9% (significantly higher) and 42.2%, respectively: CHD mortality was higher in Northern Europe, whereas STROKE and HDUE mortality were higher in Southern Europe. Significant Cox coefficients for both areas (but not significantly different between areas) were age, smoking habits, SBP and serum cholesterol for CHD, and only age and SBP did so for STROKE and HDUE. Age at death was lower for CHD, intermediate for STROKE and higher for HDUE in both areas., Conclusion: The advantage for Southern Europe was small in terms of overall CVD death rates, but definitely larger in terms of expectancy of life due to the differences in age at death in the three types of CVD mortality. Mean entry levels of serum cholesterol, 50 mg/dl higher in Northern Europe than in Southern Europe are a major culprit of these outcomes., (Copyright © 2022 Italian Federation of Cardiology - I.F.C. All rights reserved.)
- Published
- 2023
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46. Cardiovascular risk factors predict age at death in 60-year follow-up of the Seven Countries Study.
- Author
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Puddu PE, Menotti A, Jacobs DR Jr, Adachi H, Kafatos A, and Tolonen H
- Subjects
- Male, Humans, Middle Aged, Follow-Up Studies, Risk Factors, Europe epidemiology, Heart Disease Risk Factors, Cardiovascular Diseases epidemiology
- Abstract
Objectives: To study age at death (AD) and its determinants in cohorts of middle-aged men followed-up until extinction., Material and Methods: A total of 9063 middle-aged men enrolled in 10 cohorts of 6 countries (USA, Finland, the Netherlands, Italy, Greece and Japan) within the Seven Countries Study were examined and then followed up for 60 years until extinction. AD was computed and a small number of risk factors were tested through multiple linear regression as possibly related to attained AD., Results: AD ranged across cohorts from 71.8 years in East Finland and 80.5 years in Crete with levels roughly lower in the USA and Northern Europe and higher elsewhere. Across cohorts, the correlation coefficients of systolic blood pressure (R = -0.58) and of CVD prevalence (R = -0.65) versus average AD were the only significant ones. At the individual level in the pool of all cohorts, a multiple linear regression model showed that age, vigorous physical activity, never and ex-smokers were favorably related to AD, while the reverse was true for systolic blood pressure, heart rate, serum cholesterol, CVD prevalence and silent ECG abnormalities. BMI had a parabolic relationship with AD. The predicting power of single risk factors, expressed in years gained or lost, was relatively small, but arbitrary combinations of several of them produced large differences in AD., Conclusions: A small number of CVD risk factors were strongly associated with AD in a life-long follow-up., (© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)
- Published
- 2023
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47. Geometry Does Impact on the Plane Strain Directions of the Human Left Ventricle, Irrespective of Disease.
- Author
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Piras P, Colorado-Cervantes I, Nardinocchi P, Gabriele S, Varano V, Esposito G, Teresi L, Torromeo C, and Puddu PE
- Abstract
The directions of primary strain lines of local deformation in Epicardial and Endocardial layers have been the subject of debate in recent years. Different methods led to different conclusions and a complete assessment of strain direction patterns in large and variable (in terms of pathology) cohorts of healthy and diseased patients is still lacking. Here, we use local deformation tensors in order to evaluate the angle of strain lines with respect to the horizontal circumferential direction in both Epi- and Endo-layers. We evaluated this on a large group of 193 subjects including 82 healthy control and 111 patients belonging to a great variety of pathological conditions. We found that Epicardial strain lines obliquely directed while those of Endocardium are almost circumferential. This result occurs irrespective of pathological condition. We propose that the geometric vinculum characterizing Endocardium and Epicardium in terms of different lever arm length and orientation of muscular fibers during contraction inescapably requires Endocardial strain lines to be circumferentially oriented and this is corroborated by experimental results. Further investigations on transmural structure of myocytes could couple results presented here in order to furnish additional experimental explanations.
- Published
- 2022
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48. Dietary habits, cardiovascular and other causes of death in a practically extinct cohort of middle-aged men followed-up for 61 years.
- Author
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Menotti A, Puddu PE, and Catasta G
- Subjects
- Cause of Death, Cohort Studies, Feeding Behavior, Follow-Up Studies, Humans, Lung, Male, Middle Aged, Proportional Hazards Models, Risk Factors, Cardiovascular Diseases diagnosis, Cardiovascular Diseases prevention & control, Diet, Mediterranean
- Abstract
Background and Aim: To test a dietary score produced from individual data of middle-aged-men enrolled in 1960 based on an a-posteriori approach and to study its association with some specific causes of death during 61 years until their practical extinction., Methods and Results: In 1960 the Italian Rural Areas of the Seven Countries of Cardiovascular Diseases were enrolled and 1712 men aged 40-59 were examined with measurement of several risk factors and the collection of dietary history. Using 18 food groups a factor score was obtained from a Principal Component Analysis, that was divided into three classes, arbitrarily called non-Mediterranean, Intermediate and Mediterranean diets. Follow-up for mortality was extended for 61 years and dietary habits were related to several causes of death. There were 1708 deaths (99.8%) and Cox proportional hazards models, adjusted for five major risk factors, showed a significant protective effect of Mediterranean diet for coronary heart disease [Hazard Ratio (HR) = 0.67], cancer other than lung (0.74) and other causes, as from an operational definition (0.71), covering overall about 60% of all deaths. HR for all-cause mortality was of 0.85. In parallel, Kaplan-Meier curves provided significant p of log rank test for the same end-points (<0.0001, 0.0002, 0.0002 and < 0.0001, respectively). On the other hand, stroke, heart diseases of uncertain etiology, lung cancer, chronic bronchitis, unknown causes were not associated to dietary habits., Conclusion: In a 61-year follow-up of middle-aged men, the Mediterranean diet was beneficial for a large part of the causes of death and for total mortality., (Copyright © 2022 The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved.)
- Published
- 2022
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49. High R wave as a risk factor for cardivoascular and all-cause mortality. A 45-year follow-up of 13 cohorts of the Seven Countries Study.
- Author
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Menotti A, Puddu PE, Tolonen H, Kafatos A, and Adachi H
- Subjects
- Cholesterol, Follow-Up Studies, Humans, Male, Middle Aged, Proportional Hazards Models, Risk Factors, Cardiovascular Diseases, Electrocardiography
- Abstract
Objectives: To study the role of high R waves predicting cardiovascular (CVD) and all-cause mortality in a male middle-aged population followed-up 45 years., Material and Methods: A total of 7985 CVD-free men aged 40-59 years were enrolled in 13 cohorts in seven countries (USA, Finland, the Netherlands, Italy, Serbia, Greece, Japan) and high R waves were classified by Minnesota Code 3.1 (as a dichotomous variable) from baseline resting otherwise normal ECG at entry examination together with other personal characteristics. Cox models were solved to detect the possible predictive role of high R waves for CVD and all-cause mortality., Results: In Cox models high R waves were predictive of 45-year major CVD deaths with a hazard ratio of 1.17 (95% confidence intervals of 1.03-1.33) after adjustment for 6 major CVD risk factors (age, systolic blood pressure, serum cholesterol, cigarette smoking, physical activity and body mass index). The predictive role of high R wave was less evident for 45-year all-cause mortality and after adjustment for the 6 covariates the HR of high R wave lost its significance. A multiple logistic model indicated that body mass index, serum cholesterol, systolic blood pressure and mainly vigorous physical activity were directly related to high R wave prevalence while heart rate, subscapular skinfold, laterality index and shoulder pelvis shape did so in an inverse way., Conclusion: High R waves seem associated with an excess CVD mortality in a 45-year follow-up of middle-aged men, while their role is diluted when the end-point is all-cause mortality., (Copyright © 2022 Elsevier Inc. All rights reserved.)
- Published
- 2022
- Full Text
- View/download PDF
50. Determinants of longevity and age at death in a practically extinct cohort of middle-aged men followed-up for 61 years.
- Author
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Menotti A, Puddu PE, and Catasta G
- Subjects
- Cause of Death, Follow-Up Studies, Humans, Male, Middle Aged, Proportional Hazards Models, Risk Factors, Cardiovascular Diseases, Longevity
- Abstract
Objectives: To explore possible determinants of longevity as a function of many personal characteristics in a cohort of middle-aged men followed-up until practical extinction., Materials and Methods: In the Italian Rural Area of the Seven Countries Study, 1712 men aged 40-59 were examined in 1960 and 35 personal characteristics were measured. The subsequent follow-up for life status was of 61 years when only 3 men survived. A Kaplan-Meier curve was computed. A Cox model was solved with all-cause mortality as end-point and 35 potential determinants as covariates. A Multiple Linear Regression (MLR) model was also solved with the same covariates and age at death (AD) as end-point., Results: After 61 years, 99.8% of men had died and median age at death was 75. Beneficial risk factors for both models (p < 0.05) were: never smoker, vigorous physical activity, prudent and Mediterranean diets, arm circumference, subscapular skinfold, and vital capacity. Adverse risk factors (p < 0.05) were: mother early death, laterality/linearity index, systolic blood pressure, serum cholesterol, corneal arcus, xanthelasma, cardiovascular diseases, cancer, diabetes, and chronic bronchitis. Some arbitrary combinations of selected risk factors were used to estimate AD as a function of coefficients of the MLR, showing large differences up to 10 years or more., Conclusions: Several personal characteristics of anthropometric, behavioral, biophysical, biochemical, and clinical nature are strongly associated with longevity when measured in middle-aged men and then followed up until extinction., (© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)
- Published
- 2022
- Full Text
- View/download PDF
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