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Fulinara CP, Huynh A, Goldwater D, Abdalla B, Schaenman J. Frailty and Age-Associated Assessments Associated with Chronic Kidney Disease and Transplantation Outcomes. J Transplant 2023; 2023:1510259. [PMID: 37038595 PMCID: PMC10082678 DOI: 10.1155/2023/1510259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 01/03/2023] [Accepted: 02/06/2023] [Indexed: 04/04/2023] Open
Abstract
Background. Frailty is often defined as a decrease in physiological reserve and has been shown to be correlated with adverse health outcomes and mortality in the general population. This condition is highly prevalent in the chronic kidney disease (CKD) patient population as well as in kidney transplant (KT) recipients. Other age-associated changes include sarcopenia, nutrition, cognition, and depression. In assessing the contributions of these components to patient outcomes and their prevalence in the CKD and KT patient population, it can be determined how such variables may be associated with frailty and the extent to which they may impact the adverse outcomes an individual may experience. Objectives. We sought to perform a systematic literature review to review published data on frailty and associated age-associated syndromes in CKD and KT patients. Results. Over 80 references pertinent to frailty, sarcopenia, nutrition, cognition, or depression in patients with CKD or KT were identified. Systematic review was performed to evaluate the data supporting the use of the following approaches: Fried Frailty, Short Physical Performance Battery, Frailty Index, Sarcopenia Index, CT scan quantification of muscle mass, health-related quality of life, and assessment tools for nutrition, cognition, and depression. Conclusion. This report represents a comprehensive review of previously published research articles on this topic. The intersectionality between all these components in contributing to the patient’s clinical status suggests a need for a multifaceted approach to developing comprehensive care and treatment for the CKD and KT population to improve outcomes before and after transplantation.
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Affiliation(s)
- Christian P. Fulinara
- Division of Infectious Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
| | - Alina Huynh
- Division of Infectious Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
| | - Deena Goldwater
- Divisions of Geriatrics and Cardiology, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
| | - Basmah Abdalla
- Division of Nephrology, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
| | - Joanna Schaenman
- Division of Infectious Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
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Stampf S, Mueller NJ, van Delden C, Pascual M, Manuel O, Banz V, Binet I, De Geest S, Bochud PY, Leichtle A, Schaub S, Steiger J, Koller M. Cohort profile: The Swiss Transplant Cohort Study (STCS): A nationwide longitudinal cohort study of all solid organ recipients in Switzerland. BMJ Open 2021; 11:e051176. [PMID: 34911712 PMCID: PMC8679072 DOI: 10.1136/bmjopen-2021-051176] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
PURPOSE The Swiss Transplant Cohort Study (STCS) is a prospective multicentre cohort study which started to actively enrol study participants in May 2008. It takes advantage of combining data from all transplant programmes in one unique system to perform comprehensive nationwide reporting and to promote translational and clinical post-transplant outcome research in the framework of Swiss transplantation medicine. PARTICIPANTS Over 5500 solid organ transplant recipients have been enrolled in all six Swiss transplant centres by end of 2019, around three-quarter of them for kidney and liver transplants. Ninety-three per cent of all transplanted recipients have consented to study participation, almost all of them (99%) contributed to bio-sampling. The STCS genomic data set includes around 3000 patients. FINDINGS TO DATE Detailed clinical and laboratory data in high granularity as well as patient-reported outcomes from transplant recipients and activities in Switzerland are available in the last decade. Interdisciplinary contributions in diverse fields of transplantation medicine such as infectious diseases, genomics, oncology, immunology and psychosocial science have resulted in approximately 70 scientific papers getting published in peer-review journals so far. FUTURE PLANS The STCS will deepen its efforts in personalised medicine and digital epidemiology, and will also focus on allocation research and the use of causal inference methods to make complex matters in transplant medicine more understandable and transparent.
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Affiliation(s)
- Susanne Stampf
- Clinic for Transplantation Immunology and Nephrology, University Hospital Basel, Basel, Switzerland
| | - Nicolas J Mueller
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland
| | - Christian van Delden
- Transplant Infectious Diseases Unit, University Hospitals Geneva and Faculty of Medicine, Geneva, Switzerland
| | - Manuel Pascual
- Transplantation Center, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Oriol Manuel
- Transplantation Center, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Service of Infectious Diseases, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Vanessa Banz
- Department for Visceral Surgery and Medicine, Inselspital, University Hospital Bern and Bern University, Bern, Switzerland
| | - Isabelle Binet
- Nephrology and Transplantation Medicine, Kantonsspital St Gallen, Sankt Gallen, Switzerland
| | - Sabina De Geest
- Department of Public Health, Institute of Nursing Science, University of Basel, Basel, Switzerland
| | - Pierre-Yves Bochud
- Service of Infectious Diseases, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Alexander Leichtle
- Center for Laboratory Medicine, University Institute of Clinical Chemistry, Inselspital University Hospital Bern, Bern, Switzerland
| | - Stefan Schaub
- Clinic for Transplantation Immunology and Nephrology, University Hospital Basel, Basel, Switzerland
| | - Jürg Steiger
- Clinic for Transplantation Immunology and Nephrology, University Hospital Basel, Basel, Switzerland
| | - Michael Koller
- Clinic for Transplantation Immunology and Nephrology, University Hospital Basel, Basel, Switzerland
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Mayer KP, Henning AN, Gaines KM, Cassity EP, Morris PE, Villasante Tezanos AG, Johnson CA, Lee JT, Baz M, Dupont-Versteegden EE. Physical Function Measured Prior to Lung Transplantation Is Associated With Posttransplant Patient Outcomes. Transplant Proc 2020; 53:288-295. [PMID: 32950260 DOI: 10.1016/j.transproceed.2020.07.022] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 06/15/2020] [Accepted: 07/11/2020] [Indexed: 11/24/2022]
Abstract
INTRODUCTION The primary objective of this study was to determine whether pretransplant physical function is correlated with posttransplantation outcomes. METHODS We performed a retrospective study of patients that participated in pretransplantation screening and subsequently underwent lung transplantation. Pretransplant variables of interest included demographics, muscle mass, body composition, physical function, and physical frailty. Correlation tests were performed to assess relationships with significance set at 0.05. RESULTS Twenty-five patients with a mean age of 57 ± 13 years (68% male) with pretransplant lung allocation score of 45 ± 14 were included. This cohort had a 3-year mortality rate of 32% (n = 8). Pretransplant 4-m gait speed was significantly related to performance on the Short Physical Performance Battery (r = 0.74, P = .02) and distance ambulated on the 6-minute walk test (r = 0.62, P = .07) at hospital discharge. Older age was associated with slower gait speed and worse performance on sit-to-stand testing at hospital discharge (r = -0.76, P = .01 and r = -0.75, P = .01, respectively). Statistically, only diagnosis of cystic fibrosis was associated with 3-year mortality. DISCUSSION Our study demonstrates that demographic, clinical, and physical function assessed prior to lung transplantation may be indicators of functional recovery.
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Affiliation(s)
- Kirby P Mayer
- Department of Physical Therapy, College of Health Sciences, University of Kentucky, Lexington, Kentucky.
| | - Angela N Henning
- Inpatient Rehabilitation Department, Chandler Medical Center, University of Kentucky, Lexington, Kentucky
| | - Kathryn M Gaines
- Inpatient Rehabilitation Department, Chandler Medical Center, University of Kentucky, Lexington, Kentucky
| | - Evan P Cassity
- Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of Kentucky, Lexington, Kentucky
| | - Peter E Morris
- Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of Kentucky, Lexington, Kentucky
| | | | - Carrie A Johnson
- Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of Kentucky, Lexington, Kentucky
| | - James T Lee
- Department of Radiology, University of Kentucky, Lexington, Kentucky
| | - Maher Baz
- Cardiovascular and Thoracic Surgery, Lung Transplant, University of Kentucky, Lexington, Kentucky
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Harhay MN, Rao MK, Woodside KJ, Johansen KL, Lentine KL, Tullius SG, Parsons RF, Alhamad T, Berger J, Cheng XS, Lappin J, Lynch R, Parajuli S, Tan JC, Segev DL, Kaplan B, Kobashigawa J, Dadhania DM, McAdams-DeMarco MA. An overview of frailty in kidney transplantation: measurement, management and future considerations. Nephrol Dial Transplant 2020; 35:1099-1112. [PMID: 32191296 PMCID: PMC7417002 DOI: 10.1093/ndt/gfaa016] [Citation(s) in RCA: 84] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Indexed: 02/07/2023] Open
Abstract
The construct of frailty was first developed in gerontology to help identify older adults with increased vulnerability when confronted with a health stressor. This article is a review of studies in which frailty has been applied to pre- and post-kidney transplantation (KT) populations. Although KT is the optimal treatment for end-stage kidney disease (ESKD), KT candidates often must overcome numerous health challenges associated with ESKD before receiving KT. After KT, the impacts of surgery and immunosuppression represent additional health stressors that disproportionately impact individuals with frailty. Frailty metrics could improve the ability to identify KT candidates and recipients at risk for adverse health outcomes and those who could potentially benefit from interventions to improve their frail status. The Physical Frailty Phenotype (PFP) is the most commonly used frailty metric in ESKD research, and KT recipients who are frail at KT (~20% of recipients) are twice as likely to die as nonfrail recipients. In addition to the PFP, many other metrics are currently used to assess pre- and post-KT vulnerability in research and clinical practice, underscoring the need for a disease-specific frailty metric that can be used to monitor KT candidates and recipients. Although frailty is an independent risk factor for post-transplant adverse outcomes, it is not factored into the current transplant program risk-adjustment equations. Future studies are needed to explore pre- and post-KT interventions to improve or prevent frailty.
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Affiliation(s)
- Meera N Harhay
- Department of Medicine, Division of Nephrology, Drexel University College of Medicine, Philadelphia, PA, USA
- Department of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA, USA
- Tower Health Transplant Institute, Tower Health System, West Reading, PA, USA
| | - Maya K Rao
- Division of Nephrology, Columbia University Vagelos College of Physicians & Surgeons, New York, NY, USA
| | | | | | - Krista L Lentine
- Center for Abdominal Transplantation, St Louis University School of Medicine, St Louis, MO, USA
| | - Stefan G Tullius
- Department of Surgery, Division of Transplant Surgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Ronald F Parsons
- Department of Surgery, Emory University School of Medicine, Atlanta, GA, USA
| | - Tarek Alhamad
- Division of Nephrology, Washington University School of Medicine, St Louis, MO, USA
| | - Joseph Berger
- Department of Internal Medicine, Division of Nephrology, UT Southwestern Medical Center, Dallas, TX, USA
| | - XingXing S Cheng
- Department of Medicine, Division of Nephrology, Stanford University School of Medicine, Palo Alto, CA, USA
| | | | - Raymond Lynch
- Department of Surgery, Emory University School of Medicine, Atlanta, GA, USA
| | - Sandesh Parajuli
- Department of Medicine, Division of Nephrology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Jane C Tan
- Department of Medicine, Division of Nephrology, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Dorry L Segev
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Bruce Kaplan
- Vice President System Office, Baylor Scott and White Health, Temple, TX, USA
| | - Jon Kobashigawa
- Comprehensive Transplant Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Darshana M Dadhania
- Department of Transplantation Medicine, New York Presbyterian Hospital - Weill Cornell Medical Center, New York, NY, USA
| | - Mara A McAdams-DeMarco
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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Song DY, Wang XW, Wang S, Ge SQ, Ding GY, Chen XY, Chen YR, Liu HM, Xie XM, Xing WJ, Li D, Zhou Y. Jidong cognitive impairment cohort study: objectives, design, and baseline screening. Neural Regen Res 2020; 15:1111-1119. [PMID: 31823892 PMCID: PMC7034269 DOI: 10.4103/1673-5374.266070] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
The risk of dementia increases in patients with cognitive impairment. However, it is not clear what factors contribute to the onset of dementia in those with cognitive impairment. In this prospective cohort study, we will investigate the every-five-year incidence of cognitive impairment and prognostic factors for cognitive impairment. The Jidong cognitive impairment cohort was established from April 2012 to August 2015, during which we recruited 5854 healthy participants (55.1% male) older than 45 years (mean, 57 years). Participants received a health examination in the Staff Hospital, Jidong Oilfield Branch, China National Petroleum Corporation. Baseline data and blood samples were collected. Cognitive impairment was evaluated using the Mini-Mental State Examination, and was defined as a Mini-Mental State Examination score of less than 24. Dementia was assessed using the criteria of Diagnostic and Statistical Manual of Mental Disorders (Fourth edition), the International Working Group criteria, and the Mini-Mental State Examination score. The follow-up will continue until December 2024, during which a prognostic model will be constructed. The primary outcome is the presence/absence of dementia and the secondary outcome is quality of life. Baseline screening results showed the following: (1) Cognitive impairment was apparent in 320 participants (5.5%). These participants will be excluded from the Jidong cohort study, and the remaining participants will be followed up. (2) Of the 320 participants with cognitive impairment, there was a significantly higher prevalence of illiteracy than other education levels (35.9%, P < 0.05). Age, arterial hypertension, alcohol consumption, and passive smoking differed significantly between the cognitive impairment and healthy groups (P < 0.05). Multivariate logistic regression models showed that age (odds ratio [OR] = 1.059, 95% confidence interval [CI]: 1.044–1.074) and arterial hypertension (OR = 1.665, 95% CI: 1.143–2.427) were risk factors for mild cognitive impairment. With the increase of educational level (illiteracy, primary school, junior high school, high school, university, and above), cognitive impairment gradually decreased (OR < 1, P < 0.05). (3) This cohort study has initially screened for several risk factors for cognitive impairment at baseline, and subsequent prospective data will further describe, validate, and evaluate the effects of these risk factors on cognitive impairment and dementia. These results can provide clinical evidence for the early prevention of cognitive impairment and dementia. The study was approved by the Ethics Committee of Kailuan General Hospital of Tangshan City and the Medical Ethics Committee, Staff Hospital, Jidong Oilfield Branch, China National Petroleum Corporation on July 12, 2013 (approval No. 2013 YILUNZI 1).
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Affiliation(s)
- Dai-Yu Song
- School of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China; School of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Xian-Wei Wang
- School of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Sa Wang
- Department of Neurology, The Affiliated Wenling Hospital of Wenzhou Medical University, Wenling, Zhejiang Province, China
| | - Si-Qi Ge
- Department of Neuroepidemiology, Beijing Neurosurgical Institute; Capital Medical University, Beijing, China
| | - Guo-Yong Ding
- School of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China
| | - Xue-Yu Chen
- School of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China
| | - Yan-Ru Chen
- School of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China
| | - Hua-Min Liu
- School of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China
| | - Xiao-Mei Xie
- Staff hospital of jidong oilfield, Caofeidian district, Tangshan, Hebei Province, China
| | - Wei-Jia Xing
- School of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China
| | - Dong Li
- School of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China
| | - Yong Zhou
- School of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang Province, China
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