Abstract
| Lingua originale | Inglese |
|---|---|
| pagine (da-a) | 395-402 |
| Numero di pagine | 8 |
| Rivista | Journals of Gerontology - Series A Biological Sciences and Medical Sciences |
| Volume | 72 |
| Numero di pubblicazione | 3 |
| DOI | |
| Stato di pubblicazione | Pubblicato - 2017 |
All Science Journal Classification (ASJC) codes
- Medicina Generale
Keywords
- 80 and over
- Aged
- Aging
- Aging phenotypes
- Cluster analysis
- Female
- Frail Elderly
- Frailty
- Geriatric Assessment
- Hospital Mortality
- Hospitalization
- Humans
- Internal medicine and geriatric wards
- Male
- Outcomes
- Phenotype
- Prospective Studies
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In: Journals of Gerontology - Series A Biological Sciences and Medical Sciences, Vol. 72, N. 3, 2017, pag. 395-402.
Risultato della ricerca: Contributo in rivista › Articolo
TY - JOUR
T1 - Defining aging phenotypes and related outcomes: Clues to recognize frailty in hospitalized older patients
AU - Marcucci, M.
AU - Franchi, C.
AU - Nobili, A.
AU - Mannucci, P. M.
AU - Ardoino, I.
AU - Tettamanti, M.
AU - Pasina, L.
AU - Perticone, F.
AU - Salerno, F.
AU - Corrao, S.
AU - Marengoni, A.
AU - Licata, G.
AU - Violi, F.
AU - Corazza, G. R.
AU - Eldin, T. K.
AU - Di, Blanca M. P. D.
AU - Djade, C. D.
AU - Cortesi, L.
AU - Prisco, D.
AU - Silvestri, E.
AU - Cenci, C.
AU - Emmi, G.
AU - Biolo, G.
AU - Guarnieri, G.
AU - Zanetti, M.
AU - Fernandes, G.
AU - Vanoli, M.
AU - Grignani, G.
AU - Casella, G.
AU - Bernardi, M.
AU - Bassi, S. L.
AU - Santi, L.
AU - Zaccherini, G.
AU - Mannarino, E.
AU - Lupattelli, G.
AU - Bianconi, V.
AU - Paciullo, F.
AU - Nuti, R.
AU - Valenti, R.
AU - Ruvio, M.
AU - Cappelli, S.
AU - Palazzuoli, A.
AU - Salvatore, T.
AU - Sasso, F. C.
AU - Girelli, D.
AU - Olivieri, O.
AU - Matteazzi, T.
AU - Barbagallo, M.
AU - Plances, L.
AU - Alcamo, R.
AU - Calvo, L.
AU - Valentini, M.
AU - Zoli, M.
AU - Arno, R.
AU - Pasini, F. L.
AU - Capecchi, P. L.
AU - Bicchi, M.
AU - Palasciano, G.
AU - Modeo, M. E.
AU - Peragine, M.
AU - Pappagallo, F.
AU - Pugliese, S.
AU - Di, Gennaro C.
AU - Postiglione, A.
AU - Barbella, M. R.
AU - De, Stefano F.
AU - Cappellini, M. D.
AU - Fabio, G.
AU - Seghezzi, S.
AU - De, Amicis M. M.
AU - Mari, D.
AU - Rossi, P. D.
AU - Damanti, S.
AU - Ottolini, B. B.
AU - Miceli, E.
AU - Lenti, M. V.
AU - Padula, D.
AU - Murialdo, G.
AU - Marra, A.
AU - Cattaneo, F.
AU - Secchi, M. B.
AU - Ghelfi, D.
AU - Anastasio, L.
AU - Sofia, L.
AU - Carbone, M.
AU - Davi, G.
AU - Guagnano, M. T.
AU - Sestili, S.
AU - Mancuso, G.
AU - Calipari, D.
AU - Bartone, M.
AU - Meroni, M. R.
AU - Perin, P. C.
AU - Lorenzati, B.
AU - Gruden, G.
AU - Bruno, G.
AU - Amione, C.
AU - Fornengo, P.
AU - Tassara, R.
AU - Melis, D.
AU - Rebella, L.
AU - Delitala, G.
AU - Pretti, V.
AU - Masala, M. S.
AU - Bolondi, L.
AU - Rasciti, L.
AU - Serio, I.
AU - Fanelli, F. R.
AU - Amoroso, A.
AU - Molfino, A.
AU - Petrillo, E.
AU - Zuccala', Giuseppe
AU - Franceschi, Francesco
AU - De, Marco G.
AU - Chiara, C.
AU - Marta, S.
AU - Romanelli, G.
AU - Amolini, C.
AU - Chiesa, D.
AU - Picardi, A.
AU - Gentilucci, U. V.
AU - Gallo, P.
AU - Annoni, G.
AU - Corsi, M.
AU - Zazzetta, S.
AU - Bellelli, G.
AU - Arturi, F.
AU - Succurro, E.
AU - Rubino, M.
AU - Sesti, G.
AU - Loria, P.
AU - Becchi, M. A.
AU - Martucci, G.
AU - Fantuzzi, A.
AU - Maurantonio, M.
AU - Carta, S.
AU - Atzori, S.
AU - Serra, M. G.
AU - Bleve, M. A.
AU - Gasbarrone, L.
AU - Sajeva, M. R.
AU - Brucato, A.
AU - Ghidoni, S.
AU - Di, Corato P.
AU - Agnelli, G.
AU - Marchesini, E.
AU - Fabris, F.
AU - Carlon, M.
AU - Turatto, F.
AU - Baritusso, A.
AU - Manfredini, R.
AU - Molino, C.
AU - Pala, M.
AU - Fabbian, F.
AU - Boari, B.
AU - De, Giorgi A.
AU - Paolisso, G.
AU - Rizzo, M. R.
AU - Laieta, M. T.
AU - Rini, G.
AU - Mansueto, P.
AU - Pepe, I.
AU - Borghi, C.
AU - Strocchi, E.
AU - De, Sando V.
AU - Sabba, C.
AU - Vella, F. S.
AU - Suppressa, P.
AU - Valerio, R.
AU - Capobianco, C.
AU - Fenoglio, L.
AU - Bracco, C.
AU - Giraudo, A. V.
AU - Testa, E.
AU - Serraino, C.
AU - Fargion, S.
AU - Bonara, P.
AU - Periti, G.
AU - Porzio, M.
AU - Peyvandi, F.
AU - Tedeschi, A.
AU - Rossio, R.
AU - Monzani, V.
AU - Savojardo, V.
AU - Folli, C.
AU - Magnini, M.
AU - Conca, A.
AU - Gobbo, G.
AU - Balduini, C. L.
AU - Bertolino, G.
AU - Provini, S.
AU - Quaglia, F.
AU - Dallegri, F.
AU - Ottonello, L.
AU - Liberale, L.
AU - Chin, W. S.
AU - Carassale, L.
AU - Caporotundo, S.
AU - Traisci, G.
AU - De, Feudis L.
AU - Di, Carlo S.
AU - Liberato, N. L.
AU - Buratti, A.
AU - Tognin, T.
AU - Bianchi, G. B.
AU - Giaquinto, S.
AU - Purrello, F.
AU - Di, Pino A.
AU - Piro, S.
AU - Rozzini, R.
AU - Falanga, L.
AU - Montrucchio, G.
AU - Greco, E.
AU - Tizzani, P.
AU - Petitti, P.
AU - Perciccante, A.
AU - Coralli, A.
AU - Salmi, R.
AU - Gaudenzi, P.
AU - Gamberini, S.
AU - Semplicini, A.
AU - Gottardo, L.
AU - Vendemiale, G.
AU - Serviddio, G.
AU - Forlano, R.
AU - Masala, C.
AU - Mammarella, A.
AU - Raparelli, V.
AU - Basili, S.
AU - Perri, L.
AU - Landolfi, R.
AU - Montalto, Massimo
AU - Mirijello, A.
AU - Vallone, C.
AU - Bellusci, M.
AU - Setti, D.
AU - Pedrazzoli, F.
AU - Guasti, L.
AU - Castiglioni, L.
AU - Maresca, A.
AU - Squizzato, A.
AU - Molaro, M.
AU - Bertolotti, M.
AU - Mussi, C.
AU - Libbra, M. V.
AU - Miceli, A.
AU - Pellegrini, E.
AU - Carulli, L.
AU - Sciacqua, A.
AU - Quero, M.
AU - Bagnato, C.
AU - Corinaldesi, R.
AU - De, Giorgio R.
AU - Serra, M.
AU - Grasso, V.
AU - Ruggeri, E.
AU - Salvi, A.
AU - Leonardi, R.
AU - Grassini, C.
AU - Mascherona, I.
AU - Minelli, G.
AU - Maltese, F.
AU - Gabrielli, A.
AU - Mattioli, M.
AU - Capeci, W.
AU - Martino, G. P.
AU - Messina, S.
AU - Ghio, R.
AU - Favorini, S.
AU - Dal, Col A.
AU - Minisola, S.
AU - Colangelo, L.
AU - Afeltra, A.
AU - Alemanno, P.
AU - Marigliano, B.
AU - Castellino, P.
AU - Blanco, J.
AU - Zanoli, L.
AU - Cattaneo, M.
AU - Fracasso, P.
AU - Amoruso, M. V.
AU - Saracco, V.
AU - Fogliati, M.
AU - Bussolino, C.
AU - Durante, V.
AU - Eusebi, G.
AU - Tirotta, D.
AU - Mete, F.
AU - Gino, M.
AU - Cittadini, A.
AU - Arcopinto, M.
AU - Salzano, A.
AU - Bobbio, E.
AU - Marra, A. M.
AU - Sirico, D.
AU - Moreo, G.
AU - Scopelliti, F.
AU - Gasparini, F.
AU - Cocca, M.
AU - Nieves, R. D.
AU - Alberto, M. M.
AU - Pedro, A. R.
AU - Vanessa, L. P.
AU - Lara, T.
AU - Xavier, C. V.
AU - Francesc, F.
AU - Jesus, D. M.
AU - Esperanza, B. T.
AU - Esther, D. C. B.
AU - Maria, S. P.
AU - Romero, M.
AU - Blanca, P. L.
AU - -C., Cristina L. G.
AU - Victoria, V. G. M.
AU - Saez, L.
AU - Bosco, J.
AU - Susana, S. B.
AU - Marta, A. G.
AU - Concepcion, G. B.
AU - Antonio, F. M.
AU - Hernandez, M. G.
AU - Borrego, M. P.
AU - Raquel, P. C.
AU - Florencia, P. R.
AU - Beatriz, G. O.
AU - Sara, C. G.
AU - Alfonso, G. -C. C.
AU - Marta, P. M.
AU - Alberto, R. C.
AU - Antonio, A. A.
AU - Montserrat, G. G.
AU - Angel, B. R. M.
AU - Manuel, M. J.
AU - Ignacio, N. V.
AU - Lucia, A. S.
AU - Alfonso, L.
AU - David, R. B.
AU - Iria, I. V.
AU - Monica, R. P.
PY - 2017
Y1 - 2017
N2 - Background: Because frailty is a complex phenomenon associated with poor outcomes, the identification of patient profiles with different care needs might be of greater practical help than to look for a unifying definition. This study aimed at identifying aging phenotypes and their related outcomes in order to recognize frailty in hospitalized older patients. Methods: Patients aged 65 or older enrolled in internal medicine and geriatric wards participating in the REPOSI registry. Relationships among variables associated to sociodemographic, physical, cognitive, functional, and medical status were explored using a multiple correspondence analysis. The hierarchical cluster analysis was then performed to identify possible patient profiles. Multivariable logistic regression was used to verify the association between clusters and outcomes (in-hospital mortality and 3-month postdischarge mortality and rehospitalization). Results: 2,841 patients were included in the statistical analyses. Four clusters were identified: the healthiest (I); those with multimorbidity (II); the functionally independent women with osteoporosis and arthritis (III); and the functionally dependent oldest old patients with cognitive impairment (IV). There was a significantly higher in-hospital mortality in Cluster II (odds ratio [OR] = 2.27, 95% confidence interval [CI] = 1.15-4.46) and Cluster IV (OR = 5.15, 95% CI = 2.58-10.26) and a higher 3-month mortality in Cluster II (OR = 1.66, 95% CI = 1.13-2.44) and Cluster IV (OR = 1.86, 95% CI = 1.15-3.00) than in Cluster I. Conclusions: Using alternative analytical techniques among hospitalized older patients, we could distinguish different frailty phenotypes, differently associated with adverse events. The identification of different patient profiles can help defining the best care strategy according to specific patient needs.
AB - Background: Because frailty is a complex phenomenon associated with poor outcomes, the identification of patient profiles with different care needs might be of greater practical help than to look for a unifying definition. This study aimed at identifying aging phenotypes and their related outcomes in order to recognize frailty in hospitalized older patients. Methods: Patients aged 65 or older enrolled in internal medicine and geriatric wards participating in the REPOSI registry. Relationships among variables associated to sociodemographic, physical, cognitive, functional, and medical status were explored using a multiple correspondence analysis. The hierarchical cluster analysis was then performed to identify possible patient profiles. Multivariable logistic regression was used to verify the association between clusters and outcomes (in-hospital mortality and 3-month postdischarge mortality and rehospitalization). Results: 2,841 patients were included in the statistical analyses. Four clusters were identified: the healthiest (I); those with multimorbidity (II); the functionally independent women with osteoporosis and arthritis (III); and the functionally dependent oldest old patients with cognitive impairment (IV). There was a significantly higher in-hospital mortality in Cluster II (odds ratio [OR] = 2.27, 95% confidence interval [CI] = 1.15-4.46) and Cluster IV (OR = 5.15, 95% CI = 2.58-10.26) and a higher 3-month mortality in Cluster II (OR = 1.66, 95% CI = 1.13-2.44) and Cluster IV (OR = 1.86, 95% CI = 1.15-3.00) than in Cluster I. Conclusions: Using alternative analytical techniques among hospitalized older patients, we could distinguish different frailty phenotypes, differently associated with adverse events. The identification of different patient profiles can help defining the best care strategy according to specific patient needs.
KW - 80 and over
KW - Aged
KW - Aging
KW - Aging phenotypes
KW - Cluster analysis
KW - Female
KW - Frail Elderly
KW - Frailty
KW - Geriatric Assessment
KW - Hospital Mortality
KW - Hospitalization
KW - Humans
KW - Internal medicine and geriatric wards
KW - Male
KW - Outcomes
KW - Phenotype
KW - Prospective Studies
KW - 80 and over
KW - Aged
KW - Aging
KW - Aging phenotypes
KW - Cluster analysis
KW - Female
KW - Frail Elderly
KW - Frailty
KW - Geriatric Assessment
KW - Hospital Mortality
KW - Hospitalization
KW - Humans
KW - Internal medicine and geriatric wards
KW - Male
KW - Outcomes
KW - Phenotype
KW - Prospective Studies
UR - https://publicatt.unicatt.it/handle/10807/172259
UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85016217907&origin=inward
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85016217907&origin=inward
U2 - 10.1093/gerona/glw188
DO - 10.1093/gerona/glw188
M3 - Article
SN - 1079-5006
VL - 72
SP - 395
EP - 402
JO - Journals of Gerontology - Series A Biological Sciences and Medical Sciences
JF - Journals of Gerontology - Series A Biological Sciences and Medical Sciences
IS - 3
ER -