19 results on '"Simone, G. D."'
Search Results
2. Retrieving, Classifying and Ranking Relevant Scientific Papers Using Machine Learning (ML) Algorithms
- Author
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Gulo, Carlos A S J, Rúbio, Thiago Reis Pedroso Munhos, Tabassum, Shazia, and Prado, Simone G D
- Published
- 2021
3. Specification of software requirements with support of business process ontologies.
- Author
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Jorge Luís Gregório, Hilda Carvalho de Oliveira, Lukas Riehl Figueiredo, and Simone G. D. Prado
- Published
- 2019
- Full Text
- View/download PDF
4. Mining Scientific Articles Powered by Machine Learning Techniques.
- Author
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Carlos A. S. J. Gulo, Thiago R. P. M. Rúbio, Shazia Tabassum, and Simone G. D. Prado
- Published
- 2015
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- View/download PDF
5. Specification of software requirements with support of business process ontologies
- Author
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Gregorio, Jorge Luis, primary, de Oliveira, Hilda Carvalho, additional, Figueiredo, Lukas Riehl, additional, and Prado, Simone G. D., additional
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- 2019
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6. Mining Scientific Articles Powered by Machine Learning Techniques
- Author
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Carlos A. S. J. Gulo and Thiago R. P. M. Rúbio and Shazia Tabassum and Simone G. D. Prado, Gulo, Carlos A. S. J., Rúbio, Thiago R. P. M., Tabassum, Shazia, Prado, Simone G. D., Carlos A. S. J. Gulo and Thiago R. P. M. Rúbio and Shazia Tabassum and Simone G. D. Prado, Gulo, Carlos A. S. J., Rúbio, Thiago R. P. M., Tabassum, Shazia, and Prado, Simone G. D.
- Abstract
Literature review is one of the most important phases of research. Scientists must identify the gaps and challenges about certain area and the scientific literature, as a result of the accumulation of knowledge, should provide enough information. The problem is where to find the best and most important articles that guarantees to ascertain the state of the art on that specific domain. A feasible literature review consists on locating, appraising, and synthesising the best empirical evidences in the pool of available publications, guided by one or more research questions. Nevertheless, it is not assured that searching interesting articles in electronic databases will retrieve the most relevant content. Indeed, the existent search engines try to recommend articles by only looking for the occurrences of given keywords. In fact, the relevance of a paper should depend on many other factors as adequacy to the theme, specific tools used or even the test strategy, making automatic recommendation of articles a challenging problem. Our approach allows researchers to browse huge article collections and quickly find the appropriate publications of particular interest by using machine learning techniques. The proposed solution automatically classifies and prioritises the relevance of scientific papers. Using previous samples manually classified by domain experts, we apply a Naive Bayes Classifier to get predicted articles from real world journal repositories such as IEEE Xplore or ACM Digital. Results suggest that our model can substantially recommend, classify and rank the most relevant articles of a particular scientific field of interest. In our experiments, we achieved 98.22% of accuracy in recommending articles that are present in an expert classification list, indicating a good prediction of relevance. The recommended papers worth, at least, the reading. We envisage to expand our model in order to accept user’s filters and other inputs to improve predictions.
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- 2015
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7. Mining Scientific Articles Powered by Machine Learning Techniques
- Author
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Gulo, Carlos A. S. J., Rúbio, Thiago R. P. M., Tabassum, Shazia, and Prado, Simone G. D.
- Subjects
000 Computer science, knowledge, general works ,Computer Science - Published
- 2015
- Full Text
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8. Poster session 1: Wednesday 3 December 2014, 09:00-16:00Location: Poster area
- Author
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Tong, L., Huang, C., Ramalli, A., Tortoli, P., Luo, J., D'Hooge, J., Tzemos, N., Mordi, I., Bishay, T., Negishi, T., Hristova, K., Kurosawa, K., Bansal, M., Thavendiranathan, P., Yuda, S., Popescu, B., Vinereanu, D., Penicka, M., Marwick, T., Hamed, W., Kamel, M., Yaseen, R., El Barbary, H., Nemes, A., Kis, O., Gavaller, H., Kanyo, E., Forster, T., Angelis, A., Vlachopoulos, C., Ioakimidis, N., Felekos, I., Chrysohoou, C., Aznaouridis, K., Abdelrasoul, M., Terentes, D., Ageli, K., Stefanadis, C., Kurnicka, K., Domienik Karlowicz, J., Lichodziejewska, B., Goliszek, S., Grudzka, K., Krupa, M., Dzikowska Diduch, O., Ciurzynski, M., Pruszczyk, P., Capllonch, F. G., Ayerbe, J. L., Teis, A., Ferrer, E., Vallejo, N., Junca, G., Pla, R., Bayes Genis, A., Schwaiger, J., Knight, D., Gallimore, A., Schreiber, B., Handler, C., Coghlan, J., Bruno, R. M., Giardini, G., Malacrida, S., Catuzzo, B., Armenia, S., Brustia, R., Ghiadoni, L., Cauchy, E., Pratali, L., Kim, K., Lee, K., Cho, J., Yoon, H., Ahn, Y., Jeong, M., Park, J., Cho, S., Nastase, O., Enache, R., Mateescu, A., Botezatu, D., Ginghina, C., Gu, H., Sinha, M., Simpson, J., Chowienczyk, P., Fazlinezhad, A., Behesthi, A. T., Homaei, F., Mostafavi, H., Hosseini, G., Bakaeiyan, M., Boutsikou, M., Petrou, E., Dimopoulos, A., Dritsas, A., Leontiadis, E., Karatasakis, G., Sahin, S. T., Yurdakul, S., Yilmaz, N., Cengiz, B., Cagatay, Y., Aytekin, S., Yavuz, S., Karlsen, S., Dahlslett, T., Grenne, B., Sjoli, B., Smiseth, O., Edvardsen, T., Brunvand, H., Nasr, G., Nasr, A., Eleraki, A., Elrefai, S., Sonecki, P., Gustafsson, U., Naar, J., Stahlberg, M., Cerne, A., Capotosto, L., Rosato, Edoardo, D'Angeli, I., Azzano, A., Truscelli, G., Maio, M. D., Salsano, F., Terzano, C., Mangieri, E., Vitarelli, A., Renard, S., Najih, H., Mancini, J., Jacquier, A., Haentjens, J., Gaubert, J., Habib, G., Caminiti, G., D'Antoni, V., Cardaci, V., Conti, V., Volterrani, M., Ahn, J., Kim, D., Lee, H., Iliuta, L., Kim, S., Ryu, S., Ko, C., Pyun, Y., Yoon, S., Iudice, F. L., Esposito, R., Lembo, M., Santoro, C., Ballo, P., Mondillo, S., Simone, G. D., Galderisi, M., Hwang, Y., Kim, J., Moon, K., Yoo, K., Kim, C., Tagliamonte, E., Rigo, F., Cirillo, T., Caruso, A., Astarita, C., Cice, G., Quaranta, G., Romano, C., Capuano, N., Calabro', R., Zagatina, A., Zhuravskaya, N., Guseva, O., Huttin, O., Benichou, M., Voilliot, D., Venner, C., Micard, E., Girerd, N., Sadoul, N., Moulin, F., Juilliere, Y., Selton Suty, C., Baron, T., Christersson, C., Johansson, K., Flachskampf, F., Lee, S., Lee, J., Hur, S., Yun, J., Song, S., Kim, W., Ko, J., Nyktari, E., Bilal, S., Ali, S., Izgi, C., Prasad, S., Aly, M., Kleijn, S., Kandil, H., Kamp, O., Beladan, C., Calin, A., Rosca, M., Craciun, A., Gurzun, M., Calin, C., Mornos, C., Mornos, A., Ionac, A., Cozma, D., Crisan, S., Popescu, I., Ionescu, G., Petrescu, L., Camacho, S., Chulian, S. G., Carmona, R., Diaz, E., Giraldez, A., Gutierrez, A., Toro, R., Benezet, J., Antonini Canterin, F., Vriz, O., Carrubba, S. L., Poli, S., Leiballi, E., Zito, C., Careri, S., Caruso, R., Pellegrinet, M., Nicolosi, G., Kong, W., Kyu, K., Wong, R., Tay, E., Yip, J., Yeo, T., Poh, K., Correia, M., Delgado, A., Marmelo, B., Correia, E., Abreu, L., Cabral, C., Gama, P., Santos, O., Rahman, M., Borges, I. P., Peixoto, E., Peixoto, R., Marcolla, V., Okura, H., Kanai, M., Murata, E., Kataoka, T., Stoebe, S., Tarr, A., Pfeiffer, D., Hagendorff, A., Generati, G., Bandera, F., Pellegrino, M., Alfonzetti, E., Labate, V., Guazzi, M., Kuznetsov, V., Yaroslavskaya, E., Pushkarev, G., Krinochkin, D., Zyrianov, I., Carigi, S., Baldazzi, F., Bologna, F., Amati, S., Venturi, P., Grosseto, D., Biagetti, C., Fabbri, E., Arlotti, M., Piovaccari, G., Rahbi, H., Abdulhaq, A. B., Tleyjeh, I., Costantino, M., Tarsia, G., Innelli, P., Dores, E., Esposito, G., Matera, A., Trimarco, B., Mukred, K., Ashurov, R., Tanzilli, G., Merlo, M., Gigli, M., Stolfo, D., Pinamonti, B., Canterin, F. A., Muca, M., D'Angelo, G., Scapol, S., Nucci, M. D., Sinagra, G., Behaghel, A., Feneon, D., Fournet, M., Thebault, C., Martins, R., Mabo, P., Leclercq, C., Daubert, C., Donal, E., Pal, S. D., Chand, N. P., Sanjeev, A., Rajeev, M., Ankur, D., Gopal, S. R., Mzoughi, K., Zairi, I., Jabeur, M., Moussa, F. B., Chaabene, A. B., Kamoun, S., Mrabet, K., Fennira, S., Zargouni, A., Kraiem, S., Demkina, A., Hashieva, F., Krylova, N., Kovalevskaya, E., Potehkina, N., Zaroui, A., Said, R. B., Smaali, S., Rekik, B., Hlima, M. B., Mizouni, H., Mechmeche, R., Mourali, M., Malhotra, A., Sheikh, N., Dhutia, H., Siva, A., Narain, R., Merghani, A., Millar, L., Walker, M., Sharma, S., Papadakis, M., Siam Tsieu, V., Mansencal, N., Arslan, M., Deblaise, J., Dubourg, O., Boudiche, S., Larbi, N., Tababi, N., Hannachi, S., Chalbia, T., Halima, M. B., Boussada, R., Chistyakova, M. V., Govorin, A., Radaeva, E., Lipari, P., Bonapace, S., Valbusa, F., Rossi, A., Zenari, L., Lanzoni, L., Targher, G., Canali, G., Molon, G., Barbieri, E., Novo, G., Giambanco, S., Sutera, M., Bonomo, V., Giambanco, F., Rotolo, A., Evola, S., Assennato, P., Novo, S., Budnik, M., Piatkowski, R., Kochanowski, J., Opolski, G., Chatzistamatiou, E., Vagena, I. M., Manakos, K., Moustakas, G., Konstantinidis, D., Memo, G., Mitsakis, O., Kasakogias, A., Syros, P., Kallikazaros, I., Park, S., Kim, M., Shim, W., Marketou, M., Parthenakis, F., Kalyva, N., Pontikoglou, C., Maragkoudakis, S., Zacharis, E., Patrianakos, A., Maragoudakis, F., Papadaki, H., Vardas, P., Rodrigues, A., Perandini, L. A., Souza, T., Sa Pinto, A., Borba, E., Arruda, A., Furtado, M., Carvalho, F., Bonfa, E., Andrade, J., Hlubocka, Z., Malinova, V., Palecek, T., Danzig, V., Kuchynka, P., Dostalova, G., Zeman, J., Linhart, A., Trachanas, K., Vergi, N., Feretou, A., Corut, H., Sade, L. E., Ozin, B., Atar, I., Turgay, O., Muderrisoglu, H., Ledakowicz Polak, A., Polak, L., Krauza, G., Zielinska, M., Szulik, M., Streb, W., Wozniak, A., Lenarczyk, R., Sliwinska, A., Kalarus, Z., Kukulski, T., Nogueira, M., Branco, L., Agapito, A., Galrinho, A., Borba, A., Teixeira, P., Monteiro, A., Ramos, R., Cacela, D., Ferreira, R. C., Guala, A., Camporeale, C., Tosello, F., Canuto, C., Ridolfi, L., Traxanas, K., Marinov, R., Stamenov, G., Mihova, M., Persenska, S., Racheva, A., Plaskota, K., Trojnarska, O., Bartczak, A., Grajek, S., Bejiqi, R. R., Retkoceri, R., Bejiqi, H., Beha, A., Surdulli, S., Seya, M., Sasaoka, T., Hirasawa, K., Yoshikawa, S., Maejima, Y., Ashikaga, T., Hirao, K., Isobe, M., Dreyfus, J., Durand Viel, G., Cimadevilla, C., Brochet, E., Vahanian, A., Messika Zeitoun, D., Jin, C., Fang, F., Meng, F., Kam, K., Sun, J., Tsui, G., Wong, K., Wan, S., Yu, C., Lee, A., Cho, I. J., Chung, H., Heo, R., Ha, S., Hong, G., Shim, C., Chang, H., Ha, J., Chung, N., Moral, S., Gruosso, D., Galuppo, V., Teixido, G., Rodriguez Palomares, J., Gutierrez, L., Evangelista, A., Alexopoulos, A., Dawson, D., Nihoyannopoulos, P., Zainal, H. A., Ismail, J., Arshad, K., Ibrahim, Z., Lim, C., Rahman, E. A., Kasim, S., Peteiro, J., Barrio, A., Escudero, A., Bouzas Mosquera, A., Yanez, J., Martinez, D., Castro Beiras, A., Scali, M., Simioniuc, A., Mandoli, G., Lombardo, A., Massaro, F., Bello, V. D., Marzilli, M., Dini, F., Adachi, H., Tomono, J., Oshima, S., Ortega, G. M., Bustos, D. B., Garcia, R. L., Espino, A. S., Quinones, J. M., Ikuta, I., Lopez, M. R., Serrano, F. V., Gonzalez, J. B., Recio, M. G., Romano, G., D'Ancona, G., Pilato, G., Gesaro, G. D., Clemenza, F., Raffa, G., Scardulla, C., Sciacca, S., Lancellotti, P., Pilato, M., Addetia, K., Takeuchi, M., Maffessanti, F., Weinert, L., Hamilton, J., Mor Avi, V., Lang, R., Sugano, A., Seo, Y., Watabe, H., Kakefuda, Y., Aihara, H., Nishina, H., Ishizu, T., Fumikura, Y., Noguchi, Y., Aonuma, K., Luo, X., Shang, Q., Sammut, E. C., Chabinok, R., Jackson, T., Siarkos, M., Lee, L., Carr White, G., Rajani, R., Kapetanakis, S., Byrne, D., Walsh, J., Ellis, L., Mckiernan, S., Norris, S., King, G., Murphy, R., Katova, T., Simova, I., Kostova, V., Shuie, I., Ferferieva, V., Bogdanova, V., Castelon, X., Sasi, V., Domsik, P., Kalapos, A., Lengyel, C., Orosz, A., Grapsa, J., Demir, O., Sharma, R., Senior, R., Pilichowska, E., Zaborska, B., Baran, J., Stec, S., Kulakowski, P., Budaj, A., Herrera, J. E., Palacios, I. F., Mendoza, I., Marquez, J. A., Herrera, J. A., Octavio, J. A., Dempaire, G., Rotolo, M., Kosmala, W., Kaye, G., Saito, M., Negishi, K., Maceira, A. M., Ripoll, C., Cosin Sales, J., Igual, B., Salazar, J., Belloch, V., Dulai, R. S., Taylor, A., Gupta, S., and S. U. C., None
- Published
- 2014
9. Arterial Stiffness Is Associated With Carotid Atherosclerosis in Hypertensive Patients (The Campania Salute Network)
- Author
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Casalnuovo, G., primary, Gerdts, E., additional, Simone, G. d., additional, Izzo, R., additional, Marco, M. D., additional, Giudice, R., additional, Trimarco, B., additional, and Luca, N. D., additional
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- 2012
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10. Aortic Root Dimension and Hypertension: A Chicken-Egg Dilemma
- Author
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Simone, G. d., primary and Chinali, M., additional
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- 2008
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11. In vivo left ventricular anatomy in rats with two-kidney, one clip and one-kidney, one clip renovascular hypertension
- Author
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Simone, G. D., Devereux, R. B., Camargo, M. J. F., Massimo Volpe, Wallerson, D. C., Atlas, S. A., Laragh, J. H., DE SIMONE, Giovanni, Devereux, Rb, Camargo, Mj, Volpe, M, Wallerson, Dc, Atlas, Sa, and Laragh, Jh
- Subjects
Male ,Hypertension, Renovascular ,Echocardiography ,Heart Ventricles ,Body Weight ,Renin ,Hemodynamics ,Animals ,Cardiomegaly ,Organ Size ,Adaptation, Physiological ,Ventricular Function, Left ,Rats - Abstract
To evaluate differences in left ventricular structural changes related to different hemodynamic patterns. DESIGN: One-kidney, one clip (1K1C; volume-dependent hypertension) rats were two-kidney, one clip (2K1C; high-resistance hypertension) to determine whether these two types of Goldblatt rats showed different types of left ventricular adaptation. METHODS: M-mode echocardiography was used to study 28 2K1C and 19 1K1C Wistar rats 8 weeks after surgery and 55 age-matched control animals. RESULTS: Systolic blood pressure was equally high in the two models; the 1K1C rats had a larger left ventricular chamber and normal plasma renin activity (PRA), whereas in the 2K1C rats PRA was increased and the left ventricular chamber was normal. The atrial natriuretic factor was significantly increased only in the 2K1C rats and was related to PRA. The left ventricular mass index was increased in both models, but more in the 1K1C than the 2K1C rats. CONCLUSIONS: In both models the degree of left ventricular hypertrophy was associated with the interacting effects of the hemodynamic component superimposed on the primary hemodynamic pattern (i.e. blood pressure as an expression of pressure overload in the primarily volume-dependent 1K1C rats and the left ventricular chamber size as an expression of volume overload in the high-resistance 2K1C rats). The interaction between pressure and volume increased the left ventricular wall thickness in both models, with additional chamber enlargement in the 1K1C rats. In these rats, the increase in left ventricular mass was more pronounced due to the greater volume load on the heart.
- Published
- 1992
12. Echocardiographic Measurement of Left Ventricular Mass and Volume in Normotensive and Hypertensive Rats: Necropsy Validation
- Author
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Simone, G. d., primary, Wallerson, D. C., additional, Volpe, M., additional, and Devereux, R. B., additional
- Published
- 1990
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13. γγ interactions with KLOE.
- Author
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Nguyen, Federico and Xu, KLOE collaborationF. Ambrosino, A. Antonelli, M. Antonelli, F. Archilli, P. Beltrame, G. Bencivenni, C. Bini, C. Bloise, S. Bocchetta, F. Bossi, P. Branchini, G. Capon, T. Capussela, F. Ceradini, P. Ciambrone, E. De Lucia, A. De Santis, P. De Simone, G. D
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- 2010
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14. Measurement of the pion form factor for M2ππ between 0.1 and 0.85 GeV2 with the KLOE detector.
- Author
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Müller, Stefan E. and Xu, KLOE collaborationF. Ambrosino, A. Antonelli, M. Antonelli, F. Archilli, P. Beltrame, G. Bencivenni, C. Bini, C. Bloise, S. Bocchetta, F. Bossi, P. Branchini, G. Capon, T. Capussela, F. Ceradini, P. Ciambrone, E. De Lucia, A. De Santis, P. De Simone, G. D
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- 2010
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15. The American Academy of Pediatrics hypertension guidelines identify obese youth at high cardiovascular risk among individuals non-hypertensive by the European Society of Hypertension guidelines
- Author
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Di Bonito, Procolo, Licenziati, Maria Rosaria, Baroni, Marco G., Maffeis, Claudio, Morandi, Anita, Manco, Melania, del Giudice, Emanuele Miraglia, Di Sessa, Anna, Campana, Giuseppina, Moio, Nicola, Gilardini, Luisa, Chiesa, Claudio, Pacifico, Lucia, de Simone, Giovanni, Valerio, Giuliana, Driul, D., Forziato, C., Loche, S., Tornese, G., Bonito, P. D., Licenziati, M. R., Baroni, M. G., Maffeis, C., Morandi, A., Manco, M., Miraglia del Giudice, E., Sessa, A. D., Campana, G., Moio, N., Gilardini, L., Chiesa, C., Pacifico, L., Simone, G. D., Tornese, G, and Valerio, G.
- Subjects
Male ,Pediatric Obesity ,Pediatrics ,medicine.medical_specialty ,Consensus ,hypertension ,Adolescent ,Epidemiology ,paediatric obesity ,Blood Pressure ,030204 cardiovascular system & hematology ,Left ventricular hypertrophy ,Risk Assessment ,Childhood obesity ,Decision Support Techniques ,03 medical and health sciences ,0302 clinical medicine ,Paediatric obesity ,Predictive Value of Tests ,Humans ,Medicine ,030212 general & internal medicine ,Child ,Cardiometabolic risk factor ,business.industry ,Age Factors ,medicine.disease ,cardiometabolic risk factors ,left ventricular hypertrophy ,Cross-Sectional Studies ,Italy ,Heart Disease Risk Factors ,Practice Guidelines as Topic ,Female ,Cardiology and Cardiovascular Medicine ,business - Abstract
Background Two different systems for the screening and diagnosis of hypertension (HTN) in children currently coexist, namely, the guidelines of the 2017 American Academy of Pediatrics (AAP) and the 2016 European Society for Hypertension (ESH). The two systems differ in the lowered cut-offs proposed by the AAP versus ESH. Objectives We evaluated whether the reclassification of hypertension by the AAP guidelines in young people who were defined non-hypertensive by the ESH criteria would classify differently overweight/obese youth in relation to their cardiovascular risk profile. Methods A sample of 2929 overweight/obese young people (6–16 years) defined non-hypertensive by ESH (ESH–) was analysed. Echocardiographic data were available in 438 youth. Results Using the AAP criteria, 327/2929 (11%) young people were categorized as hypertensive (ESH–/AAP+). These youth were older, exhibited higher body mass index, Homeostatic Model Assessment of Insulin Resistance (HOMA-IR), triglycerides, total cholesterol to high-density lipoprotein cholesterol (TC/HDL-C) ratio, blood pressure, left ventricular mass index and lower HDL-C (p Conclusions The reclassification of hypertension by the AAP guidelines in young people overweight/obese defined non-hypertensive by the ESH criteria identified a significant number of individuals with high blood pressure and abnormal cardiovascular risk. Our data support the need of a revision of the ESH criteria.
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- 2019
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16. Light and shade of the pulse waveform analysis
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Costantino Mancusi, Giovanni de Simone, Simone, G. D., and Mancusi, C.
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Physiology ,business.industry ,Systole ,Hemodynamics ,030204 cardiovascular system & hematology ,03 medical and health sciences ,0302 clinical medicine ,Optics ,Pulse waveform ,Diastole ,Internal Medicine ,Medicine ,Cardiology and Cardiovascular Medicine ,business ,030217 neurology & neurosurgery - Published
- 2018
17. [Cardioscintigraphic evaluation of obese subjects with or without arterial hypertension]
- Author
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S. Ferraro, M. Santomauro, G. Maddalena, V. D'Agosto, G. Mossetti, G. D. Simone, S. Turco, E. Gravina, S. Fazio, SACCA', LUIGI, S., Ferraro, M., Santomauro, G., Maddalena, V., D'Agosto, G., Mossetti, Simone, G. D., S., Turco, E., Gravina, S., Fazio, and Sacca', Luigi
- Subjects
Adult ,Male ,Hypertension ,Hemodynamics ,Humans ,Female ,Hemodynamic ,Obesity ,Middle Aged ,Radionuclide Ventriculography ,Human - Abstract
A group of normotensive obese subjects (group A), a group of hypertensive obese subjects (group B) and a group of control subjects (group C) were submitted to radionuclide ventriculography using 99mTc to investigate cardiac function and haemodynamic situation in the presence of an increased preload (group A), preload and afterload (group B). Results show a significant reduction in ejection fraction and systolic blood pressure/end systolic volume in group A. Group B shows better cardiac function probably for the presence of cardiac concentric hypertrophy. Left ventricle work either in a minute and for each beat is greatest in patients of group B. Thus the simultaneous presence of obesity and hypertension can cause a worse prognosis in such patients for cardiac ischaemia and/or sudden death.
- Published
- 1990
18. Responses of serum insulin and blood pressure to cold and handgrip in obese patients.
- Author
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Ferrara LA, Mancini M, De Simone GD, Turco S, Iovine C, Marotta T, Mainenti G, and Mancini M
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- Adult, Aged, Blood Glucose analysis, Fasting, Female, Glucose Tolerance Test, Hand physiology, Heart Rate physiology, Humans, Hypertension blood, Male, Middle Aged, Obesity blood, Stress, Physiological physiopathology, Blood Pressure physiology, Cold Temperature, Exercise, Hypertension physiopathology, Insulin blood, Obesity physiopathology, Sympathetic Nervous System physiopathology
- Abstract
A close correlation between body weight and blood pressure has been frequently observed in both clinical and epidemiological studies. The aim of this clinical trial was to evaluate whether, in obese patients, there is any relationship between blood pressure, at rest or during sympathetic stimulation, and blood glucose and serum insulin, both while fasting and during an oral glucose challenge. Twenty obese patients (age 26-65 years, body weight 97 +/- 16 kg, 11 normotensive and 9 hypertensive) entered the study. After a 4-week run-in period on an isocaloric diet with normal intake of sodium, blood pressure and heart rate were measured at rest and during sympathetic stimulation induced by cold and isometric testing. Responses of glucose and insulin to a standardized 75 g oral glucose tolerance test were also evaluated. The responses of glucose and insulin to glucose challenge were not statistically different in normotensive and hypertensive obese patients. Levels of insulin in the serum in the serum in the fasting state and during glucose load were significantly correlated with the response of blood pressure to cold and isometric exercise, but not to blood pressure at rest. The response of heart rate to cold was closely related to insulin only in the subgroup of normotensives. The present findings support the hypothesis that the sympathetic nervous system, which influences secretion of insulin and regulation of blood pressure, is involved in the pathophysiology of the association of obesity and hypertension.
- Published
- 1991
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19. [Behavior of fibrinogen, hematocrit and platelets in relation to variations in body mass index in a group of female subjects].
- Author
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Carnevale Schianca GP, Dugnani M, De Simone GD, Mizza M, Pozzoli G, and Franzini C
- Subjects
- Adult, Aged, Female, Hematocrit, Humans, Middle Aged, Obesity physiopathology, Platelet Count, Blood Platelets physiology, Blood Pressure physiology, Body Mass Index, Body Weight physiology, Erythrocytes physiology, Fibrinogen analysis, Obesity blood
- Published
- 1989
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