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Ungerman E, Hunter OC, Jayaraman AL, Khoche S, Bartels S, Owen RM, Smart K, Hayanga HK, Patel B, Whyte AM, Knight J, Jones TE, Roberts SM, Ball R, Hoyler M, Gelzinis TA. The Year in Cardiothoracic Transplant Anesthesia: Selected Highlights From 2022 Part II: Cardiac Transplantation. J Cardiothorac Vasc Anesth 2025; 39:364-397. [PMID: 39551696 DOI: 10.1053/j.jvca.2024.10.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2024] [Accepted: 10/13/2024] [Indexed: 11/19/2024]
Abstract
These highlights focus on research published in the year 2022 and is divided into preoperative, intraoperative, and postoperative sections. The preoperative section includes research on the assessment and optimization of candidates for heart transplantation; donor optimization and the use of extended donors; organ protection systems; donation after circulatory death allografts; recipient factors including cannabis use, sex, race, and comorbidities such as obesity, diabetes mellitus, and peripartum cardiomyopathy; the effects of the 2018 heart allocation policy change on waitlist and postoperative mortality; updates on heart transplantation in patients with coronavirus disease 2019; in pediatric patients; and those who require a bridge to transplant. The intraoperative section includes the use of a multidisciplinary team, a proposed transfusion algorithm, bench surgery on the allograft, and size matching. The postoperative section focuses on the research on the development and management of tricuspid regurgitation, echocardiography, arrhythmia management, and, finally, xenotransplantation.
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Affiliation(s)
- Elizabeth Ungerman
- Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, PA
| | | | - Arun L Jayaraman
- Department of Anesthesiology and Perioperative Medicine, Department of Critical Care Medicine, Mayo Clinic, Pheonix, AZ
| | | | | | - Robert M Owen
- Case Western Reserve School of Medicine, Cleveland, OH
| | - Klint Smart
- West Virginia University, University Avenue, Morgantown, WV
| | | | - Bhoumesh Patel
- Department of Anesthesiology, Yale School of Medicine, New Haven, CT
| | - Alice M Whyte
- Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Joshua Knight
- Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, PA
| | - T Everett Jones
- Department of Anesthesiology, University of Florida, Gainesville, FL
| | - S Michael Roberts
- Department of Anesthesiology and Perioperative Medicine, Penn State University, Philadelphia, PA
| | - Ryan Ball
- Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, PA
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Jutras G, Lai JC. The Liver Frailty Index: a model for establishing organ-specific frailty metrics across all solid organ transplantation. Curr Opin Organ Transplant 2024; 29:266-270. [PMID: 38836426 DOI: 10.1097/mot.0000000000001157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2024]
Abstract
PURPOSE OF REVIEW In this review, we discuss the development of the Liver Frailty Index (LFI) and how it may serve as a model for developing other organ-specific frailty indices. RECENT FINDINGS As the demand for solid organ transplants continues to increase, the transplantation community is enhancing its strategies for organ allocation to gain deeper insights into patient risk profiles and anticipated outcomes. Frailty has emerged as a critical concept in transplant care, offering valuable insights into adverse health outcomes. Standardizing frailty assessment across transplant programs could enhance prognostic accuracy and inform pretransplant interventions.The LFI comprises of three performance-based tests that each represents essential components of the multidimensional frailty construct. This composite metric provides insights beyond liver function and considers nonhepatic comorbid factors. Identifying common frailty principles among all transplant candidates and adopting the LFI methodology, which assesses fundamental frailty principles using liver-specific tools, could establish a foundational pool of shared core frailty principles. From this pool, organ-specific frailty indices could be derived, each equipped with the clinically relevant organ-specific tools to evaluate common core principles. SUMMARY Creating a standardized framework across all solid-organ transplants, with common principles and organ-specific measurements, would facilitate consistent frailty assessment, standardize the integration of the frailty construct into transplant decision-making, and enable center-level interventions to improve outcomes for patients with end-stage organ disease.
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Affiliation(s)
- Gabrielle Jutras
- Department of Medicine, Division of Hepatology, Centre Hospitalier de l'Université de Montréal (CHUM), University of Montreal, Montreal, Quebec, Canada
| | - Jennifer C Lai
- Department of Medicine, Division of Gastroenterology and Hepatology, University of California - San Francisco, California, USA
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Hasse JM, van Zyl JS, Felius J, Lima B, Jamil AK, Alam A. Bioimpedance Spectroscopy in Heart Transplantation: Posttransplant Changes in Body Composition and Effects in Outcomes. Transplantation 2023; 107:e305-e317. [PMID: 37291721 DOI: 10.1097/tp.0000000000004678] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
BACKGROUND Bioimpedance spectroscopy yields measurements of fat-free mass, fat mass, phase angle, and other measures. Bioimpedance spectroscopy has been validated as a preoperative assessment tool in cardiac surgical studies, in which low phase angle predicted morbidity and mortality. No studies have evaluated bioimpedance spectroscopy following heart transplantation. METHODS We evaluated body composition, nutrition status (Subjective Global Assessment, body mass index, midarm muscle circumference, and triceps skinfolds), and functional status (handgrip strength and 6-min walk test) in 60 adults. Body composition measurements via a 256-frequency bioimpedance spectroscopy device included fat and fat-free mass as well as phase angle calculated at 50 kHz. Testing was completed at baseline and 1, 3, 6, and 12 mo following heart transplantation. Mortality and hospital readmissions were analyzed. RESULTS Phase angle and fat mass increased while fat-free mass decreased; grip strength and 6-min walk test improved after transplantation (all P < 0.001). Improvement in phase angle in the first month postoperatively was associated with reduced risk of readmission. Low perioperative and 1-mo phase angles were associated with prolonged posttransplant length of stay (median: 13 versus 10 d, P = 0.03), increased infection-related readmissions (40% versus 5%, P = 0.001), and increased 4-y mortality (30% versus 5%, P = 0.01). CONCLUSIONS Phase angle, grip strength, and 6-min walk test distance improved after heart transplantation. Low phase angle appears to be associated with suboptimal outcomes and may be a feasible and affordable method to predict outcomes. Further research should ascertain whether preoperative phase angle can predict outcomes.
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Affiliation(s)
- Jeanette M Hasse
- Baylor Simmons Transplant Institute, Baylor University Medical Center, Dallas, TX
| | - Johanna S van Zyl
- Baylor Scott and White Research Institute, Baylor Scott and White Health, Dallas, TX
| | - Joost Felius
- Baylor Scott and White Research Institute, Baylor Scott and White Health, Dallas, TX
- Texas A&M University Health Science Center, Dallas, TX
| | | | - Aayla K Jamil
- Baylor Scott and White Research Institute, Baylor Scott and White Health, Dallas, TX
| | - Amit Alam
- Texas A&M University Health Science Center, Dallas, TX
- Center for Advanced Heart and Lung Disease, Baylor University Medical Center, Dallas, TX
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Solfrizzi V, Scafato E, Custodero C, Piazzolla G, Capogna L, Procaccio A, Gandin C, Galluzzo L, Ghirini S, Matone A, Dibello V, Sardone R, Daniele A, Lozupone M, Panza F. Biopsychosocial frailty and mild cognitive impairment subtypes: Findings from the Italian project on the epidemiology of Alzheimer's disease (IPREA). Alzheimers Dement 2023; 19:3306-3315. [PMID: 36757048 DOI: 10.1002/alz.12944] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 12/16/2022] [Accepted: 12/22/2022] [Indexed: 02/10/2023]
Abstract
INTRODUCTION Frailty is a critical intermediate status of the aging process including physical, cognitive, and psychosocial phenotypes. We operationalized a biopsychosocial frailty construct, estimating its association with mild cognitive impairment (MCI) and its subtypes. METHODS In 1980, older individuals from the population-based Italian PRoject on the Epidemiology of Alzheimer's disease (IPREA), we investigated cross-sectional associations among biopsychosocial frailty, MCI, and its subtypes. RESULTS Participants with biopsychosocial frailty showed an increased odds ratio (OR) of MCI [OR: 4.36; 95% confidence interval (CI): 2.60-7.29; Fisher's exact p < 0.01], particularly for nonamnestic MCI single domain (naMCI-SD, OR:3.28; 95% CI: 1.35-7.97; Fisher's exact p = 0.02) and for nonamnestic MCI multiple domain (naMCI-MD, OR:6.92; 95% CI: 3.37-14.21; Fisher's exact p < 0.01). No statistically significant associations between amnestic MCI single or multiple domain and biopsychosocial frailty were observed. DISCUSSION In a large, older Italian cohort, a biopsychosocial frailty phenotype was associated with MCI, in particular, could be associated with some of its subtypes, that is, naMCI-SD, and naMCI-MD.
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Affiliation(s)
- Vincenzo Solfrizzi
- "Cesare Frugoni" Internal and Geriatric Medicine and Memory Unit, University of Bari "Aldo Moro", Bari, Italy
| | - Emanuele Scafato
- Osservatorio Nazionale Alcol, Centro Nazionale Dipendenze e Doping, Istituto Superiore di Sanità, Rome, Italy
| | - Carlo Custodero
- "Cesare Frugoni" Internal and Geriatric Medicine and Memory Unit, University of Bari "Aldo Moro", Bari, Italy
| | - Giuseppina Piazzolla
- "Cesare Frugoni" Internal and Geriatric Medicine and Memory Unit, University of Bari "Aldo Moro", Bari, Italy
| | - Lavinia Capogna
- "Cesare Frugoni" Internal and Geriatric Medicine and Memory Unit, University of Bari "Aldo Moro", Bari, Italy
| | - Annagrazia Procaccio
- "Cesare Frugoni" Internal and Geriatric Medicine and Memory Unit, University of Bari "Aldo Moro", Bari, Italy
| | - Claudia Gandin
- Osservatorio Nazionale Alcol, Centro Nazionale Dipendenze e Doping, Istituto Superiore di Sanità, Rome, Italy
| | - Lucia Galluzzo
- Department of Cardiovascular, Endocrine-Metabolic Diseases, and Aging, Istituto Superiore di Sanità (ISS), Rome, Italy
| | - Silvia Ghirini
- Osservatorio Nazionale Alcol, Centro Nazionale Dipendenze e Doping, Istituto Superiore di Sanità, Rome, Italy
| | - Alice Matone
- Osservatorio Nazionale Alcol, Centro Nazionale Dipendenze e Doping, Istituto Superiore di Sanità, Rome, Italy
| | - Vittorio Dibello
- Department of Orofacial Pain and Dysfunction, Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Rodolfo Sardone
- Unit of Research Methodology and Data Sciences for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Bari, Italy
| | - Antonio Daniele
- Department of Neuroscience, Catholic University of Sacred Heart, Rome, Italy
- Neurology Unit, IRCCS Fondazione Policlinico Universitario A. Gemelli, Rome, Italy
| | - Madia Lozupone
- Department of Translational Biomedicine and Neuroscience "DiBrain", University of Bari Aldo Moro, Bari, Italy
| | - Francesco Panza
- Unit of Research Methodology and Data Sciences for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Bari, Italy
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Lorenz EC, Hickson LJ, Khairallah P, Najafi B, Kennedy CC. Cellular Senescence and Frailty in Transplantation. CURRENT TRANSPLANTATION REPORTS 2023; 10:51-59. [PMID: 37576589 PMCID: PMC10414789 DOI: 10.1007/s40472-023-00393-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/16/2023] [Indexed: 03/28/2023]
Abstract
Purpose of review To summarizes the literature on cellular senescence and frailty in solid-organ transplantation and highlight the emerging role of senotherapeutics as a treatment for cellular senescence. Recent findings Solid-organ transplant patients are aging. Many factors contribute to aging acceleration in this population, including cellular senescence. Senescent cells accumulate in tissues and secrete proinflammatory and profibrotic proteins which result in tissue damage. Cellular senescence contributes to age-related diseases and frailty. Our understanding of the role cellular senescence plays in transplant-specific complications such as allograft immunogenicity and infections is expanding. Promising treatments, including senolytics, senomorphics, cell-based regenerative therapies, and behavioral interventions, may reduce cellular senescence abundance and frailty in patients with solid-organ transplants. Summary Cellular senescence and frailty contribute to adverse outcomes in solid-organ transplantation. Continued pursuit of understanding the role cellular senescence plays in transplantation may lead to improved senotherapeutic approaches and better graft and patient outcomes.
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Affiliation(s)
| | - LaTonya J. Hickson
- Division of Nephrology and Hypertension, Mayo Clinic, Jacksonville, Florida
| | | | - Bijan Najafi
- Division of Vascular Surgery and Endovascular Therapy, Baylor College of Medicine, Houston, Texas
| | - Cassie C. Kennedy
- Division of Pulmonary, Critical Care, and Sleep Medicine, Mayo Clinic, Rochester, Minnesota
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Scafato E, Solfrizzi V, Custodero C, Casieri G, Falco C, Maggipinto R, Gandin C, Galluzzo L, Ghirini S, Matone A, Dibello V, Sardone R, Daniele A, Lozupone M, Panza F. Associations of a biopsychosocial frailty phenotype with all-cause dementia, Alzheimer's disease, vascular dementia, and other dementias: the Italian PRoject on the Epidemiology of Alzheimer's disease (IPREA). GeroScience 2023:10.1007/s11357-023-00781-x. [PMID: 37014539 PMCID: PMC10400737 DOI: 10.1007/s11357-023-00781-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 03/23/2023] [Indexed: 04/05/2023] Open
Abstract
Frailty is a critical intermediate status of the aging process including physical, cognitive, and psychosocial domains/phenotypes. We operationalized a new biopsychosocial frailty construct, estimating its impact on the odds of all-cause dementia, Alzheimer's disease (AD), vascular dementia (VaD), and other dementias in 2838 older individuals from the population-based Italian PRoject on the Epidemiology of Alzheimer's disease (IPREA). Biopsychosocial frailty operationalization was based on the results of a previous comprehensive geriatric assessment and the presence of physical frailty. In this cross-sectional study, participants with biopsychosocial frailty showed an increased odds ratio of all-cause dementia [odds ratio (OR): 5.55, 95% confidence interval (CI): 3.72-8.28, p < 0.001], in particular for probable AD (OR: 3.62, 95% CI: 1.55-8.45, p < 0.001), probable VaD (OR: 10.05, 95% CI: 5.05-19.97, p < 0.001), and possible VaD (OR: 17.61, 95% CI: 6.42-48.32, p < 0.001). No statistically significant association was found between this biopsychosocial frailty phenotype and possible AD (OR: 2.84, 95% CI: 0.81-9.97, p = 0.09) or other dementias (OR: 1.77, 95% CI: 0.75-0.21, p = 0.19). In conclusion, in a large cohort of Italian older individuals, a biopsychosocial frailty model was associated to all-cause dementia, probable AD, and probable and possible VaD. In the next future, other large and prospective population-based studies evaluating the association between the biopsychosocial frailty phenotype and incident all-cause dementia, AD, and VaD are needed, addressing also potential bias and confounding sources.
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Affiliation(s)
- Emanuele Scafato
- Osservatorio Nazionale Alcol, Centro Nazionale Dipendenze e Doping, Istituto Superiore di Sanità, Rome, Italy
| | - Vincenzo Solfrizzi
- "Cesare Frugoni" Internal and Geriatric Medicine and Memory Unit, University of Bari "Aldo Moro", Bari, Italy.
| | - Carlo Custodero
- "Cesare Frugoni" Internal and Geriatric Medicine and Memory Unit, University of Bari "Aldo Moro", Bari, Italy
| | - Giovanna Casieri
- "Cesare Frugoni" Internal and Geriatric Medicine and Memory Unit, University of Bari "Aldo Moro", Bari, Italy
| | - Claudia Falco
- "Cesare Frugoni" Internal and Geriatric Medicine and Memory Unit, University of Bari "Aldo Moro", Bari, Italy
| | - Rosselia Maggipinto
- "Cesare Frugoni" Internal and Geriatric Medicine and Memory Unit, University of Bari "Aldo Moro", Bari, Italy
| | - Claudia Gandin
- Osservatorio Nazionale Alcol, Centro Nazionale Dipendenze e Doping, Istituto Superiore di Sanità, Rome, Italy
| | - Lucia Galluzzo
- Department of Cardiovascular, Endocrine-Metabolic Diseases, and Aging, Istituto Superiore di Sanità (ISS), Rome, Italy
| | - Silvia Ghirini
- Osservatorio Nazionale Alcol, Centro Nazionale Dipendenze e Doping, Istituto Superiore di Sanità, Rome, Italy
| | - Alice Matone
- Osservatorio Nazionale Alcol, Centro Nazionale Dipendenze e Doping, Istituto Superiore di Sanità, Rome, Italy
| | - Vittorio Dibello
- Department of Orofacial Pain and Dysfunction, Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Rodolfo Sardone
- Unit of Research Methodology and Data Sciences for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy
| | - Antonio Daniele
- Department of Neuroscience, Catholic University of Sacred Heart, Rome, Italy
- Neurology Unit, IRCCS Fondazione Policlinico Universitario A. Gemelli, Rome, Italy
| | - Madia Lozupone
- Department of Translational Biomedicine and Neuroscience "DiBraiN", University of Bari Aldo Moro, Bari, Italy
| | - Francesco Panza
- Unit of Research Methodology and Data Sciences for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy.
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Kao J, Reid N, Hubbard RE, Homes R, Hanjani LS, Pearson E, Logan B, King S, Fox S, Gordon EH. Frailty and solid-organ transplant candidates: a scoping review. BMC Geriatr 2022; 22:864. [PMID: 36384461 PMCID: PMC9667636 DOI: 10.1186/s12877-022-03485-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Accepted: 09/14/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND There is currently no consensus as to a standardized tool for frailty measurement in any patient population. In the solid-organ transplantation population, routinely identifying and quantifying frailty in potential transplant candidates would support patients and the multidisciplinary team to make well-informed, individualized, management decisions. The aim of this scoping review was to synthesise the literature regarding frailty measurement in solid-organ transplant (SOT) candidates. METHODS A search of four databases (Cochrane, Pubmed, EMBASE and CINAHL) yielded 3124 studies. 101 studies (including heart, kidney, liver, and lung transplant candidate populations) met the inclusion criteria. RESULTS We found that studies used a wide range of frailty tools (N = 22), including four 'established' frailty tools. The most commonly used tools were the Fried Frailty Phenotype and the Liver Frailty Index. Frailty prevalence estimates for this middle-aged, predominantly male, population varied between 2.7% and 100%. In the SOT candidate population, frailty was found to be associated with a range of adverse outcomes, with most evidence for increased mortality (including post-transplant and wait-list mortality), post-operative complications and prolonged hospitalisation. There is currently insufficient data to compare the predictive validity of frailty tools in the SOT population. CONCLUSION Overall, there is great variability in the approach to frailty measurement in this population. Preferably, a validated frailty measurement tool would be incorporated into SOT eligibility assessments internationally with a view to facilitating comparisons between patient sub-groups and national and international transplant services with the ultimate goal of improved patient care.
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Affiliation(s)
- Jonathan Kao
- Princess Alexandra Hospital, Metro South Hospital and Health Service, Queensland, Australia.
- Geriatrics and Rehabilitation Unit, Building 7 Princess Alexandra Hospital, 199 Ipswich Road, Woolloongabba, QLD, 4102, Australia.
| | - Natasha Reid
- Centre for Health Services Research, The University of Queensland, Queensland, Australia
| | - Ruth E Hubbard
- Princess Alexandra Hospital, Metro South Hospital and Health Service, Queensland, Australia
- Centre for Health Services Research, The University of Queensland, Queensland, Australia
| | - Ryan Homes
- School of Biomedical Science, The University of Queensland, Queensland, Australia
| | - Leila Shafiee Hanjani
- Centre for Health Services Research, The University of Queensland, Queensland, Australia
| | - Ella Pearson
- School of Biomedical Science, The University of Queensland, Queensland, Australia
| | - Benignus Logan
- Centre for Health Services Research, The University of Queensland, Queensland, Australia
| | - Shannon King
- North Metropolitan Health Service, WA Health, Western Australia, Australia
| | - Sarah Fox
- Centre for Health Services Research, The University of Queensland, Queensland, Australia
- The Prince Charles Hospital, Metro North Hospital and Health Service, Queensland, Australia
| | - Emily H Gordon
- Princess Alexandra Hospital, Metro South Hospital and Health Service, Queensland, Australia
- Centre for Health Services Research, The University of Queensland, Queensland, Australia
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