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Young-Xu Y, Davey V, Marconi VC, Cunningham FE. VA Big Data Science: A Model for Improved National Pandemic Response Present and Future. Fed Pract 2023; 40:S39-S42. [PMID: 38577309 PMCID: PMC10988619 DOI: 10.12788/fp.0412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/06/2024]
Abstract
Background The US Department of Veterans Affairs (VA) enterprise approach to research (VA Research) has built a data-sharing framework available to all research teams within VA. Combined with robust analytic systems and tools available for investigators, VA Research has produced actionable results during the COVID-19 pandemic. Big data science techniques applied to VA's health care data demonstrate that medical research can be performed quickly and judiciously during nationwide health care emergencies. Observations We envision a common framework of data collection, management, and surveillance implemented in partnership with other health care agencies that would capture even broader, actionable, and timely observational data on populations, while providing opportunities for enhanced collaborative research across agencies. This model should be continued and expanded through the current COVID-19 and future pandemics. Conclusions Extending the achievements of VA Research in the COVID-19 pandemic to date, we advocate national goals of open science by working toward a synergistic national framework of anonymized, synchronized, shared health data that would provide researchers with potent tools to combat future public health crises.
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Affiliation(s)
- Yinong Young-Xu
- White River Junction Veterans Affairs Medical Center, Vermont
- Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
| | - Victoria Davey
- Office of Research and Development, Department of Veterans Affairs, Washington, DC
| | - Vincent C. Marconi
- Atlanta Veterans Affairs Medical Center, Decatur, Georgia
- Emory University School of Medicine, Atlanta, Georgia
| | - Francesca E. Cunningham
- Center for Medication Safety, Pharmacy Benefits Management Services, Department of Veterans Affairs, Hines, Illinois
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Tana C, Moffa L, Falasca K, Vecchiet J, Tana M, Mantini C, Ricci F, Ticinesi A, Meschi T, Cipollone F, Giamberardino MA. Approach to COVID-19 in older adults and indications for improving the outcomes. Ann Med 2023; 55:2265298. [PMID: 37839411 PMCID: PMC10578089 DOI: 10.1080/07853890.2023.2265298] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 09/26/2023] [Indexed: 10/17/2023] Open
Abstract
Background: COVID-19 continues to present challenges in the care of older adults with frailty and/or comorbidities and very old patients, who can be hospitalized with severe COVID-19 despite full vaccination. Frailty is a heterogeneous syndrome characterized by an increased aging-related vulnerability due to a reduced physiological reserve and function of systemic organs, and is associated with an impairment of activities of daily living. Frail older adults remain at elevated risk of mortality from COVID-19 compared to older adults without frailty, and some pre-existing risk factors such as malnutrition, prolonged bed rest, and the association with comorbidities can aggravate the SARS-CoV-2 infection. Furthermore, the severity of COVID-19 can impact on long-term functioning of older patients surviving from the infection. Persistent symptoms are another emerging problem of the post-vaccination phase of pandemic, as most patients suffer from chronic symptoms which can become debilitating and affect the daily routine. Aim of this review: In this complex relationship, the evaluation of COVID-19 in vulnerable categories is still a matter of high interest and personalized care plans based on a comprehensive geriatric assessment, tailored interventions; specific therapeutic algorithms among older adults are thus recommended in order to improve the outcomes.
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Affiliation(s)
- Claudio Tana
- Geriatrics Clinic, SS Annunziata Hospital of Chieti, Chieti, Italy
| | - Livia Moffa
- Infectious Disease Department and COVID-19 Unit, University Hospital of Chieti, Chieti, Italy
| | - Katia Falasca
- Infectious Disease Department and COVID-19 Unit, University Hospital of Chieti, Chieti, Italy
| | - Jacopo Vecchiet
- Infectious Disease Department and COVID-19 Unit, University Hospital of Chieti, Chieti, Italy
| | - Marco Tana
- Internal Medicine Unit, SS. Annunziata Hospital of Chieti, Chieti, Italy
| | - Cesare Mantini
- Department of Neuroscience, Imaging and Clinical Sciences, "G. D’Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Fabrizio Ricci
- Department of Neuroscience, Imaging and Clinical Sciences, "G. D’Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Andrea Ticinesi
- Department of Medicine and Surgery, University of Parma, Parma, Italy
- Italy and Geriatric-Rehabilitation Department, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Tiziana Meschi
- Department of Medicine and Surgery, University of Parma, Parma, Italy
- Italy and Geriatric-Rehabilitation Department, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Francesco Cipollone
- Medical Clinic, SS. Annunziata Hospital of Chieti, Department of Medicine and Science of Aging, "G. D’Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Maria Adele Giamberardino
- Geriatrics Clinic, SS Annunziata Hospital of Chieti, Chieti, Italy
- Department of Medicine and Science of Aging, “G. D’Annunzio” University of Chieti, Chieti, Italy
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Rodríguez-Sánchez I, Rodríguez-Mañas L. Editorial: COVID in Older People: Some Answers, New Questions. J Nutr Health Aging 2023; 27:79-80. [PMID: 36806861 PMCID: PMC9912240 DOI: 10.1007/s12603-023-1891-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Accepted: 02/05/2023] [Indexed: 02/12/2023]
Affiliation(s)
- I Rodríguez-Sánchez
- Prof. Leocadio Rodríguez Mañas, Servicio de Geriatría, Hospital Universitario de Getafe, Carretera de Toledo, Km 12.5, 28905-Getafe, Tlfno: +34 675836102 e-mail:
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Sinclair AJ. Editorial: COVID-19 Infection in Frailty - Still Plenty of Research Needed but Making Progress. J Nutr Health Aging 2023; 27:77-78. [PMID: 36806860 PMCID: PMC9900527 DOI: 10.1007/s12603-023-1890-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 01/25/2023] [Indexed: 02/09/2023]
Affiliation(s)
- A J Sinclair
- Professor A J Sinclair, Foundation for Diabetes Research in Older People and King's College, London, UK, Taplow, Bucks. SL6 0JB, United Kingdom, , Tel: 00 44 (0) 7469 178232
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