1
|
Rivasi G, Ceolin L, Turrin G, Tortù V, D'Andria MF, Capacci M, Testa GD, Montali S, Tonarelli F, Brunetti E, Bo M, Romero-Ortuno R, Mossello E, Ungar A. Comparison of different frailty instruments for prediction of functional decline in older hypertensive outpatients (HYPER-FRAIL pilot study 2). Eur J Intern Med 2024:S0953-6205(24)00216-4. [PMID: 38763848 DOI: 10.1016/j.ejim.2024.05.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 05/02/2024] [Accepted: 05/13/2024] [Indexed: 05/21/2024]
Abstract
BACKGROUND AND AIMS Few studies have evaluated frailty in older hypertensive individuals and the most appropriate tools to identify frailty in this population have yet to be identified. This study compared the performance of six frailty instruments in the prediction of 1-year functional decline in older hypertensive outpatients. METHODS The HYPERtension and FRAILty in Older Adults (HYPER-FRAIL) longitudinal pilot study involved hypertensive participants ≥75 years from two geriatric outpatient clinics at Careggi Hospital, Florence, Italy, undergoing identification of frailty with four frailty scales (Fried Frailty Phenotype, Frailty Index [FI], Clinical Frailty Scale [CFS], Frailty Postal Score) and two physical performance tests (Short Physical Performance Battery [SPPB] and gait speed). Prediction of 1-year functional decline (i.e. a ≥ 10-point Barthel Index decrease between baseline and follow-up) was examined based on ROC curve analysis and multivariable logistic regression. RESULTS Among 116 participants, 24 % reported functional decline. In the ROC curve analyses, FI (AUC=0.76), CFS (AUC=0.77), gait speed (AUC=0.73) and the SPPB (AUC=0.77) achieved the best predictive performance, with FI ≥0.21 and CFS ≥4 showing the highest sensitivity (82 %) and negative predictive value (91 %). Frailty identified with FI, CFS or physical performance tests was associated with an increased risk of 1-year functional decline, independently of baseline functional status and comorbidity burden. CONCLUSIONS FI, CFS and physical performance tests showed similar predictive ability for functional decline in hypertensive outpatients. The CFS and gait speed might be more suitable for clinical use and may be useful to identify non-frail individuals at lower risk of functional decline.
Collapse
Affiliation(s)
- Giulia Rivasi
- Division of Geriatric and Intensive Care Medicine, Careggi Hospital and University of Florence, Largo Brambilla 3, Florence 50139, Italy.
| | - Ludovica Ceolin
- Division of Geriatric and Intensive Care Medicine, Careggi Hospital and University of Florence, Largo Brambilla 3, Florence 50139, Italy
| | - Giada Turrin
- Division of Geriatric and Intensive Care Medicine, Careggi Hospital and University of Florence, Largo Brambilla 3, Florence 50139, Italy
| | - Virginia Tortù
- Division of Geriatric and Intensive Care Medicine, Careggi Hospital and University of Florence, Largo Brambilla 3, Florence 50139, Italy
| | - Maria Flora D'Andria
- Division of Geriatric and Intensive Care Medicine, Careggi Hospital and University of Florence, Largo Brambilla 3, Florence 50139, Italy
| | - Marco Capacci
- Division of Geriatric and Intensive Care Medicine, Careggi Hospital and University of Florence, Largo Brambilla 3, Florence 50139, Italy
| | - Giuseppe Dario Testa
- Division of Geriatric and Intensive Care Medicine, Careggi Hospital and University of Florence, Largo Brambilla 3, Florence 50139, Italy
| | - Sara Montali
- Division of Geriatric and Intensive Care Medicine, Careggi Hospital and University of Florence, Largo Brambilla 3, Florence 50139, Italy
| | - Francesco Tonarelli
- Division of Geriatric and Intensive Care Medicine, Careggi Hospital and University of Florence, Largo Brambilla 3, Florence 50139, Italy
| | - Enrico Brunetti
- Section of Geriatrics, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza, Molinette, Turin, Italy
| | - Mario Bo
- Section of Geriatrics, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza, Molinette, Turin, Italy
| | - Roman Romero-Ortuno
- Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, Dublin, Ireland, and Falls and Syncope Unit, Mercer's Institute for Successful Ageing, St. James's Hospital, Dublin, Ireland
| | - Enrico Mossello
- Division of Geriatric and Intensive Care Medicine, Careggi Hospital and University of Florence, Largo Brambilla 3, Florence 50139, Italy
| | - Andrea Ungar
- Division of Geriatric and Intensive Care Medicine, Careggi Hospital and University of Florence, Largo Brambilla 3, Florence 50139, Italy
| |
Collapse
|
2
|
Bari MD, Giordano A, Giannini I, Balzi D, Tonarelli F, Benvenuti E, Ruggiano G, Landini G, Williamson JD, Brooten JK, Carreras G. Effects of the implementation of the dynamic silver code in the emergency department. Eur J Intern Med 2024; 120:80-84. [PMID: 37839972 DOI: 10.1016/j.ejim.2023.10.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Revised: 08/21/2023] [Accepted: 10/05/2023] [Indexed: 10/17/2023]
Abstract
BACKGROUND Older persons accessing the Emergency Department (ED) spend more time and are at increased risk of poor outcomes. The Dynamic Silver Code (DSC), based on administrative data, predicts mortality of 75+ subjects visiting the ED. OBJECTIVE To evaluate the effects of the implementation of the DSC in the ED. METHODS A pre-post comparison was conducted in the ED of a community hospital in Florence, Italy before and after the DSC was fully implemented. In the post-DSC phase, a clinical decision tree was applied: patients at low-mild risk (DSC class I and II) were assigned to Internal Medicine, those at moderate risk (class III) to Geriatrics, and those at high risk (class IV) required geriatric consultation before assignment. Outcome measures were ED length of stay (LOS) and, in patients admitted to Geriatrics, weight of the Diagnosis Related Groups (DRG), hospital LOS, and mortality. RESULTS 7,270 patients were enrolled in the pre-DSC and 4,725 in the post-DSC phase. ED LOS decreased from a median of 380 [206, 958] in the pre-DSC to 318 [178, 655] min in the post-DSC period (p<0.001). Class III represented the largest share of admissions to Geriatrics in the post-DSC period (57.7 % vs. 38.3 %; p<0.001). In patients admitted to Geriatrics, hospital LOS decreased by one day (p = 0.006) between the two study periods, with greater DRG weight and comparable mortality. CONCLUSIONS Application of the DSC seemed to ease patient flow and to reduce LOS of older patients in the ED and increased appropriateness of admissions to Geriatrics.
Collapse
Affiliation(s)
- Mauro Di Bari
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy; Unit of Geriatrics, Department of Medicine and Geriatrics, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy.
| | - Antonella Giordano
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy; Agenzia per la Continuità Ospedale-Territorio, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Ilaria Giannini
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Daniela Balzi
- Department of Epidemiology, Azienda USL Toscana Centro, Florence, Italy
| | - Francesco Tonarelli
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Enrico Benvenuti
- Unit of Geriatrics, Department of Internal Medicine, Azienda USL Toscana Centro, Florence, Italy
| | - Germana Ruggiano
- Department of Emergency Medicine, Azienda USL Toscana Centro, Florence, Italy
| | - Giancarlo Landini
- Department of Internal Medicine, Azienda USL Toscana Centro, Florence, Italy
| | - Jeff D Williamson
- Sticht Centre on Healthy Aging and Alzheimer's Prevention, Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Justin K Brooten
- Sticht Centre on Healthy Aging and Alzheimer's Prevention, Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, United States; Department of Emergency Medicine, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Giulia Carreras
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| |
Collapse
|
3
|
Rivasi G, Ceolin L, Turrin G, Tortu’ V, D’Andria MF, Testa GD, Montali S, Tonarelli F, Brunetti E, Bo M, Romero-Ortuno R, Mossello E, Ungar A. Prevalence and correlates of frailty in older hypertensive outpatients according to different tools: the HYPER-FRAIL pilot study. J Hypertens 2024; 42:86-94. [PMID: 37698894 PMCID: PMC10713004 DOI: 10.1097/hjh.0000000000003559] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 07/15/2023] [Accepted: 08/23/2023] [Indexed: 09/13/2023]
Abstract
OBJECTIVES To date, few studies have investigated frailty in hypertensive individuals. This study aimed at identifying the prevalence of frailty in a sample of hypertensive older outpatients using six different identification tools. Clinical correlates of frailty and agreement between different frailty definitions were also investigated. METHODS The HYPER-FRAIL pilot study recruited hypertensive patients aged at least 75 years from two geriatric outpatient clinics of Careggi Hospital, Florence, Italy. Four frailty scales [Fried Frailty Phenotype, Frailty Index, Clinical Frailty Scale (CFS), Frailty Postal Score] and two physical performance tests [Short Physical Performance Battery (SPPB) and usual gait speed] were applied. The Cohen's kappa coefficient was calculated to assess agreement between measures. Multiple logistic regression was used to identify clinical features independently associated with frailty. RESULTS Among 121 participants (mean age 81, 60% women), frailty prevalence varied between 33 and 50% according to the tool used. Moderate agreement was observed between Fried Frailty Phenotype, Frailty Index and SPPB, and between Frailty Index and CFS. Agreement was minimal or weak between the remaining measures (K < 0.60). Use of walking aids and depressive symptoms were independently associated with frailty, regardless of the definition used. Frailty correlates also included dementia, disability and comorbidity burden, but not office and 24-h blood pressure values. CONCLUSION Frailty is highly prevalent among older hypertensive outpatients, but agreement between different frailty tools was moderate-to-weak. Longitudinal studies are needed to assess the prognostic role of different frailty tools and their clinical utility in the choice of antihypertensive treatment.
Collapse
Affiliation(s)
- Giulia Rivasi
- Division of Geriatric and Intensive Care Medicine, Careggi Hospital and University of Florence, Florence
| | - Ludovica Ceolin
- Division of Geriatric and Intensive Care Medicine, Careggi Hospital and University of Florence, Florence
| | - Giada Turrin
- Division of Geriatric and Intensive Care Medicine, Careggi Hospital and University of Florence, Florence
| | - Virginia Tortu’
- Division of Geriatric and Intensive Care Medicine, Careggi Hospital and University of Florence, Florence
| | - Maria Flora D’Andria
- Division of Geriatric and Intensive Care Medicine, Careggi Hospital and University of Florence, Florence
| | - Giuseppe Dario Testa
- Division of Geriatric and Intensive Care Medicine, Careggi Hospital and University of Florence, Florence
| | - Sara Montali
- Division of Geriatric and Intensive Care Medicine, Careggi Hospital and University of Florence, Florence
| | - Francesco Tonarelli
- Division of Geriatric and Intensive Care Medicine, Careggi Hospital and University of Florence, Florence
| | - Enrico Brunetti
- Section of Geriatrics, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza, Molinette, Turin, Italy
| | - Mario Bo
- Section of Geriatrics, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza, Molinette, Turin, Italy
| | - Roman Romero-Ortuno
- Discipline of Medical Gerontology and Falls and Syncope Unit, Mercer's Institute for Successful Ageing, St. James's Hospital, Dublin, Ireland
| | - Enrico Mossello
- Division of Geriatric and Intensive Care Medicine, Careggi Hospital and University of Florence, Florence
| | - Andrea Ungar
- Division of Geriatric and Intensive Care Medicine, Careggi Hospital and University of Florence, Florence
| |
Collapse
|
4
|
Trevisan C, Tonarelli F, Zucchelli A, Parrotta I, Calvani R, Malara A, Monzani F, Gareri P, Zia G, Antonelli Incalzi R. Health trajectories in older patients hospitalized for COVID-19: Results from the GeroCovid multicenter study. Respir Med 2023; 206:107088. [PMID: 36549026 PMCID: PMC9733961 DOI: 10.1016/j.rmed.2022.107088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 12/03/2022] [Accepted: 12/06/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND COVID-19 has disproportionately affected older adults. Yet, healthcare trajectories experienced by older persons hospitalized for COVID-19 have not been investigated. This study aimed at estimating the probabilities of transitions between severity states in older adults admitted in COVID-19 acute wards and at identifying the factors associated with such dynamics. METHODS COVID-19 patients aged ≥60 years hospitalized between March and December 2020 were involved in the multicentre GeroCovid project-acute wards substudy. Sociodemographic and health data were obtained from medical records. Clinical states during hospitalization were categorized on a seven-category scale, ranging from hospital discharge to death. Based on the transitions between these states, first, we defined patients' clinical course as positive (only improvements), negative (only worsening), or fluctuating (both improvements and worsening). Second, we focused on the single transitions between clinical states and estimated their probability (through multistage Markov modeling) and associated factors (with proportional intensity models). RESULTS Of the 1024 included patients (mean age 78.1 years, 51.1% women), 637 (62.2%) had a positive, 66 (6.4%) had a fluctuating, and 321 (31.3%) had a negative clinical course. Patients with a fluctuating clinical course were younger, had better mobility and cognitive levels, fewer diseases, but a higher prevalence of cardiovascular disease and obesity. Considering the single transitions, the probability that older COVID-19 patients experienced clinical changes was higher within a 10-day timeframe, especially for milder clinical states. Older age, male sex, lower mobility level, multimorbidity, and hospitalization during the COVID-19 first wave (compared with the second one) were associated with an increased probability of progressing towards worse clinical states or with a lower recovery. CONCLUSION COVID-19 in older inpatients has a complex and dynamic clinical course. Identifying individuals more likely to experience a fluctuating clinical course and sudden worsening may help organize healthcare resources and clinical management across settings at different care intensity levels.
Collapse
Affiliation(s)
- Caterina Trevisan
- Department of Medical Science, University of Ferrara, Ferrara, Italy,Geriatrics Division, Department of Medicine (DIMED), University of Padua, Italy
| | - Francesco Tonarelli
- Geriatric Intensive Care Unit, Department of Experimental and Clinical Medicine, University of Florence, Italy
| | - Alberto Zucchelli
- Department of Information Engineering, University of Brescia, Brescia, Italy
| | - Ilaria Parrotta
- Movement Control and Neuroplasticity Research Group, Tervuursevest 101, 3001, Leuven, Belgium,Corresponding author
| | - Riccardo Calvani
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Alba Malara
- Presidente Fondazione ANASTE-HUMANITAS, Responsabile Scientifico European Confederation of Care-Home Organisations (E.C.H.O.), Associazione Nazionale Strutture Territoriali (ANASTE) Calabria A full list of the working group members is provided in Supplementary material – Appendix 1, Italy
| | - Fabio Monzani
- Scuola di Specializzazione in Geriatria e Gerontologia Università di Pisa UOC Geriatria, Universitaria Azienda Ospedaliero-Universitaria Pisana, Italy
| | | | | | - Raffaele Antonelli Incalzi
- Unit of Geriatrics, Department of Medicine, Campus Bio-Medico University and Teaching Hospital, Rome, Italy
| | | |
Collapse
|
5
|
Di Bari M, Tonarelli F, Balzi D, Giordano A, Ungar A, Baldasseroni S, Onder G, Mechi MT, Carreras G. COVID-19, Vulnerability, and Long-Term Mortality in Hospitalized and Nonhospitalized Older Persons. J Am Med Dir Assoc 2021; 23:414-420.e1. [PMID: 34990587 PMCID: PMC8673732 DOI: 10.1016/j.jamda.2021.12.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 11/24/2021] [Accepted: 12/09/2021] [Indexed: 02/09/2023]
Abstract
Objective Studies suggesting that vulnerability increased short-term mortality in older patients with COVID-19 enrolled hospitalized patients and lacked COVID-negative comparators. Aim of this study was to examine the relationship between frailty and 1-year mortality in older patients with and without COVID-19, hospitalized and nonhospitalized. Design Cohort study. Setting and Participants Patients over 75 years old accessing the emergency departments (ED) were identified from the ED archives in Florence, Italy. Methods Vulnerability status was estimated with the Dynamic Silver Code (DSC). COVID-19 hospital discharges (HC+) were compared with non-COVID-19 discharges (HC-). Linkage with a national COVID-19 registry identified nonhospitalized ED visitors with (NHC+) or without COVID-19 (NHC-). Results In 1 year, 48.4% and 33.9% of 1745 HC+ and 15,846 HC- participants died (P < .001). Mortality increased from 27.5% to 64.0% in HC+ and from 19.9% to 51.1% in HC- across DSC classes I to IV, with HC+ vs HC- hazard ratios between 1.6 and 2.2. Out of 1039 NHC+ and 18,722 NHC- participants, 18% and 8.7% died (P < .001). Mortality increased from 14.2% to 46.7% in NHC+ and from 2.9% to 26% in NHC- across DSC; NHC+ vs NHC- hazard ratios decreased from 5.3 in class I to 2.0 in class IV. Conclusions and Implications In hospitalized older patients, mortality increases with vulnerability similarly in the presence and in the absence of COVID-19. In nonhospitalized patients, vulnerability-associated excess mortality is milder in individuals with than in those without COVID-19. The disease reduces survival even when background risk is low. Thus, apparently uncomplicated patients deserve closer clinical monitoring than commonly applied.
Collapse
Affiliation(s)
- Mauro Di Bari
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy; Unit of Geriatrics, Department of Medicine and Geriatrics, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy.
| | - Francesco Tonarelli
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Daniela Balzi
- Department of Epidemiology, Azienda USL Toscana Centro, Florence, Italy
| | - Antonella Giordano
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Andrea Ungar
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy; Unit of Geriatrics, Department of Medicine and Geriatrics, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Samuele Baldasseroni
- Unit of Geriatrics, Department of Medicine and Geriatrics, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Graziano Onder
- Department of Cardiovascular, Endocrine-Metabolic Diseases and Aging, Istituto Superiore di Sanità, Italy
| | - M Teresa Mechi
- Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Giulia Carreras
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| |
Collapse
|
6
|
Balzi D, Carreras G, Tonarelli F, Degli Esposti L, Michelozzi P, Ungar A, Gabbani L, Benvenuti E, Landini G, Bernabei R, Marchionni N, Di Bari M. Real-time utilisation of administrative data in the ED to identify older patients at risk: development and validation of the Dynamic Silver Code. BMJ Open 2019; 9:e033374. [PMID: 31871260 PMCID: PMC6937117 DOI: 10.1136/bmjopen-2019-033374] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
OBJECTIVE Identification of older patients at risk, among those accessing the emergency department (ED), may support clinical decision-making. To this purpose, we developed and validated the Dynamic Silver Code (DSC), a score based on real-time linkage of administrative data. DESIGN AND SETTING The 'Silver Code National Project (SCNP)', a non-concurrent cohort study, was used for retrospective development and internal validation of the DSC. External validation was obtained in the 'Anziani in DEA (AIDEA)' concurrent cohort study, where the DSC was generated by the software routinely used in the ED. PARTICIPANTS The SCNP contained 281 321 records of 180 079 residents aged 75+ years from Tuscany and Lazio, Italy, admitted via the ED to Internal Medicine or Geriatrics units. The AIDEA study enrolled 4425 subjects aged 75+ years (5217 records) accessing two EDs in the area of Florence, Italy. INTERVENTIONS None. OUTCOME MEASURES Primary outcome: 1-year mortality. SECONDARY OUTCOMES 7 and 30-day mortality and 1-year recurrent ED visits. RESULTS Advancing age, male gender, previous hospital admission, discharge diagnosis, time from discharge and polypharmacy predicted 1-year mortality and contributed to the DSC in the development subsample of the SCNP cohort. Based on score quartiles, participants were classified into low, medium, high and very high-risk classes. In the SCNP validation sample, mortality increased progressively from 144 to 367 per 1000 person-years, across DSC classes, with HR (95% CI) of 1.92 (1.85 to 1.99), 2.71 (2.61 to 2.81) and 5.40 (5.21 to 5.59) in class II, III and IV, respectively versus class I (p<0.001). Findings were similar in AIDEA, where the DSC predicted also recurrent ED visits in 1 year. In both databases, the DSC predicted 7 and 30-day mortality. CONCLUSIONS The DSC, based on administrative data available in real time, predicts prognosis of older patients and might improve their management in the ED.
Collapse
Affiliation(s)
- Daniela Balzi
- Epidemiology, Azienda USL Toscana Centro, Firenze, Italy
| | - Giulia Carreras
- Research Unit of Medicine of Aging, Department of Clinical and Experimental Medicine, University of Florence, Firenze, Italy
| | - Francesco Tonarelli
- Research Unit of Medicine of Aging, Department of Clinical and Experimental Medicine, University of Florence, Firenze, Italy
| | | | | | - Andrea Ungar
- Research Unit of Medicine of Aging, Department of Clinical and Experimental Medicine, University of Florence, Firenze, Italy
- Unit of Geriatrics - Geriatrics Intensive Care Unit, Department of Medicine and Geriatrics, Careggi Hospital, Firenze, Italy
| | - Luciano Gabbani
- Unit of Geriatrics, Department of Medicine and Geriatrics, Careggi Hospital, Firenze, Italy
| | - Enrico Benvenuti
- Unit of Geriatrics, Department of Internal Medicine, Azienda USL Toscana Centro, Firenze, Italy
| | - Giancarlo Landini
- Unit of Internal Medicine, Department of Internal Medicine, Azienda USL Toscana Centro, Firenze, Italy
| | | | - Niccolò Marchionni
- Research Unit of Medicine of Aging, Department of Clinical and Experimental Medicine, University of Florence, Firenze, Italy
- Cardiothoracic and Vascular Department, Careggi Hospital, Firenze, Italy
| | - Mauro Di Bari
- Research Unit of Medicine of Aging, Department of Clinical and Experimental Medicine, University of Florence, Firenze, Italy
- Unit of Geriatrics - Geriatrics Intensive Care Unit, Department of Medicine and Geriatrics, Careggi Hospital, Firenze, Italy
| |
Collapse
|