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Grant RK, Brindle WM, Taylor CL, Rycroft EJ, Oyewole O, Morgan SC, Watson EF, Anand A, McAvoy NC, Penman ID, Church NI, Trimble KC, Noble CL, Plevris JN, Masterton GSM, Kalla R. Tailoring follow-up endoscopy in patients with severe oesophagitis. Frontline Gastroenterol 2024; 15:117-123. [PMID: 38486669 PMCID: PMC10935538 DOI: 10.1136/flgastro-2023-102485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 10/10/2023] [Indexed: 03/17/2024] Open
Abstract
Objective We aimed to investigate the clinical utility of follow-up oesophagogastroduodenoscopy (OGD2) in patients with severe oesophagitis (Los Angeles grades C or D) through evaluating the yield of Barrett's oesophagus (BO), cancer, dysplasia and strictures. Second, we aimed to determine if the Clinical Frailty Scale (CFS) may be used to identify patients to undergo OGD2s. Design/method Patients in NHS Lothian with an index OGD (OGD1) diagnosis of severe oesophagitis between 1 January 2014 and 31 December 2015 were identified. Univariate analysis identified factors associated with grade. Patients were stratified by frailty and a diagnosis of stricture, cancer, dysplasia and BO. Results In total 964 patients were diagnosed with severe oesophagitis, 61.7% grade C and 38.3% grade D. The diagnostic yield of new pathology at OGD2 was 13.2% (n=51), new strictures (2.3%), dysplasia (0.5%), cancer (0.3%) and BO (10.1%). A total of 140 patients had clinical frailty (CFS score ≥5), 88.6% of which were deceased at review (median of 76 months). In total 16.4% of frail patients underwent OGD2s and five new pathologies were diagnosed, none of which were significantly associated with grade. Among non-frail patients at OGD2, BO was the only pathology more common (p=0.010) in patients with grade D. Rates of cancer, dysplasia and strictures did not vary significantly between grades. Conclusion Our data demonstrate that OGD2s in patients with severe oesophagitis may be tailored according to clinical frailty and only be offered to non-frail patients. In non-frail patients OGD2s have similar pick-up rates of sinister pathology in both grades of severe oesophagitis.
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Affiliation(s)
- Rebecca K Grant
- The Centre for Liver and Digestive Disorders, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - William M Brindle
- The Centre for Liver and Digestive Disorders, Royal Infirmary of Edinburgh, Edinburgh, UK
- Victoria Hospital, Department of Gastroenterology, NHS Fife, Kirkcaldy, Fife, UK
| | - Caitlyn L Taylor
- The Centre for Liver and Digestive Disorders, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Edward J Rycroft
- The Centre for Liver and Digestive Disorders, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Oluwadara Oyewole
- The Centre for Liver and Digestive Disorders, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Sarah C Morgan
- The Centre for Liver and Digestive Disorders, Royal Infirmary of Edinburgh, Edinburgh, UK
| | | | - Atul Anand
- Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK
| | - Norma C McAvoy
- The Centre for Liver and Digestive Disorders, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Ian D Penman
- The Centre for Liver and Digestive Disorders, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Nicholas I Church
- The Centre for Liver and Digestive Disorders, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Kenneth C Trimble
- The Centre for Liver and Digestive Disorders, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Colin L Noble
- The Edinburgh IBD Unit, Western General Hospital, Edinburgh, UK
| | - John N Plevris
- The Centre for Liver and Digestive Disorders, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Gail S M Masterton
- The Centre for Liver and Digestive Disorders, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Rahul Kalla
- The Centre for Liver and Digestive Disorders, Royal Infirmary of Edinburgh, Edinburgh, UK
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Bunch PM, Rigdon J, Niazi MKK, Barnard RT, Boutin RD, Houston DK, Lenchik L. Association of CT-Derived Skeletal Muscle and Adipose Tissue Metrics with Frailty in Older Adults. Acad Radiol 2024; 31:596-604. [PMID: 37479618 PMCID: PMC10796847 DOI: 10.1016/j.acra.2023.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Revised: 05/18/2023] [Accepted: 06/02/2023] [Indexed: 07/23/2023]
Abstract
RATIONALE AND OBJECTIVES Tools are needed for frailty screening of older adults. Opportunistic analysis of body composition could play a role. We aim to determine whether computed tomography (CT)-derived measurements of muscle and adipose tissue are associated with frailty. MATERIALS AND METHODS Outpatients aged ≥ 55 years consecutively imaged with contrast-enhanced abdominopelvic CT over a 3-month interval were included. Frailty was determined from the electronic health record using a previously validated electronic frailty index (eFI). CT images at the level of the L3 vertebra were automatically segmented to derive muscle metrics (skeletal muscle area [SMA], skeletal muscle density [SMD], intermuscular adipose tissue [IMAT]) and adipose tissue metrics (visceral adipose tissue [VAT], subcutaneous adipose tissue [SAT]). Distributions of demographic and CT-derived variables were compared between sexes. Sex-specific associations of muscle and adipose tissue metrics with eFI were characterized by linear regressions adjusted for age, race, ethnicity, duration between imaging and eFI measurements, and imaging parameters. RESULTS The cohort comprised 886 patients (449 women, 437 men, mean age 67.9 years), of whom 382 (43%) met the criteria for pre-frailty (ie, 0.10 < eFI ≤ 0.21) and 138 (16%) for frailty (eFI > 0.21). In men, 1 standard deviation changes in SMD (β = -0.01, 95% confidence interval [CI], -0.02 to -0.001, P = .02) and VAT area (β = 0.008, 95% CI, 0.0005-0.02, P = .04), but not SMA, IMAT, or SAT, were associated with higher frailty. In women, none of the CT-derived muscle or adipose tissue metrics were associated with frailty. CONCLUSION We observed a positive association between frailty and CT-derived biomarkers of myosteatosis and visceral adiposity in a sex-dependent manner.
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Affiliation(s)
- Paul M Bunch
- Department of Radiology, Wake Forest University School of Medicine, Medical Center Boulevard,Winston-Salem, NC 27157 (P.M.B., L.L.).
| | - Joseph Rigdon
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Medical Center Boulevard,Winston-Salem, North Carolina (J.R., R.T.B.)
| | - Muhammad Khalid Khan Niazi
- Center for Biomedical Informatics, Wake Forest University School of Medicine, Medical Center Boulevard,Winston-Salem, North Carolina (M.K.K.N.)
| | - Ryan T Barnard
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Medical Center Boulevard,Winston-Salem, North Carolina (J.R., R.T.B.)
| | - Robert D Boutin
- Department of Radiology, Stanford University School of Medicine, Stanford, California (R.D.B.)
| | - Denise K Houston
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Medical Center Boulevard,Winston-Salem, North Carolina (D.K.H.)
| | - Leon Lenchik
- Department of Radiology, Wake Forest University School of Medicine, Medical Center Boulevard,Winston-Salem, NC 27157 (P.M.B., L.L.)
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Dent E, Hanlon P, Sim M, Jylhävä J, Liu Z, Vetrano DL, Stolz E, Pérez-Zepeda MU, Crabtree DR, Nicholson C, Job J, Ambagtsheer RC, Ward PR, Shi SM, Huynh Q, Hoogendijk EO. Recent developments in frailty identification, management, risk factors and prevention: A narrative review of leading journals in geriatrics and gerontology. Ageing Res Rev 2023; 91:102082. [PMID: 37797723 DOI: 10.1016/j.arr.2023.102082] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 09/29/2023] [Accepted: 10/01/2023] [Indexed: 10/07/2023]
Abstract
Frailty is an age-related clinical condition characterised by an increased susceptibility to stressors and an elevated risk of adverse outcomes such as mortality. In the light of global population ageing, the prevalence of frailty is expected to soar in coming decades. This narrative review provides critical insights into recent developments and emerging practices in frailty research regarding identification, management, risk factors, and prevention. We searched journals in the top two quartiles of geriatrics and gerontology (from Clarivate Journal Citation Reports) for articles published between 01 January 2018 and 20 December 2022. Several recent developments were identified, including new biomarkers and biomarker panels for frailty screening and diagnosis, using artificial intelligence to identify frailty, and investigating the altered response to medications by older adults with frailty. Other areas with novel developments included exercise (including technology-based exercise), multidimensional interventions, person-centred and integrated care, assistive technologies, analysis of frailty transitions, risk-factors, clinical guidelines, COVID-19, and potential future treatments. This review identified a strong need for the implementation and evaluation of cost-effective, community-based interventions to manage and prevent frailty. Our findings highlight the need to better identify and support older adults with frailty and involve those with frailty in shared decision-making regarding their care.
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Affiliation(s)
- Elsa Dent
- Research Centre for Public Health, Equity and Human Flourishing, Torrens University Australia, Adelaide, Australia
| | - Peter Hanlon
- School of Health and Wellbeing, University of Glasgow, Scotland, UK
| | - Marc Sim
- Nutrition and Health Innovation Research Institute, School of Health and Medical Sciences, Edith Cowan University, Perth, Western Australia, Australia; Medical School, The University of Western Australia, Perth, Western Australia, Australia
| | - Juulia Jylhävä
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Faculty of Social Sciences, Unit of Health Sciences and Gerontology Research Center, University of Tampere, Tampere, Finland
| | - Zuyun Liu
- Second Affiliated Hospital and School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China
| | - Davide L Vetrano
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Erwin Stolz
- Institute of Social Medicine and Epidemiology, Medical University of Graz, Graz, Austria
| | - Mario Ulises Pérez-Zepeda
- Instituto Nacional de Geriatría, Dirección de Investigación, ciudad de México, Mexico; Centro de Investigación en Ciencias de la Salud (CICSA), FCS, Universidad Anáhuac México Campus Norte, Huixquilucan Edo. de México
| | | | - Caroline Nicholson
- Centre for Health System Reform & Integration, Mater Research Institute-University of Queensland, Brisbane, Australia
| | - Jenny Job
- Centre for Health System Reform & Integration, Mater Research Institute-University of Queensland, Brisbane, Australia
| | - Rachel C Ambagtsheer
- Research Centre for Public Health, Equity and Human Flourishing, Torrens University Australia, Adelaide, Australia
| | - Paul R Ward
- Research Centre for Public Health, Equity and Human Flourishing, Torrens University Australia, Adelaide, Australia
| | - Sandra M Shi
- Hinda and Arthur Marcus Institute for Aging, Hebrew Senior Life, Boston, Massachusetts, USA; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Quan Huynh
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Emiel O Hoogendijk
- Department of Epidemiology & Data Science and Department of General Practice, Amsterdam UMC, Location VU University Medical Center, Amsterdam, Netherlands; Amsterdam Public Health research institute, Ageing & Later Life Research Program, Amsterdam UMC, Amsterdam, the Netherlands.
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Renedo D, Acosta JN, Koo AB, Rivier C, Sujijantarat N, de Havenon A, Sharma R, Gill TM, Sheth KN, Falcone GJ, Matouk CC. Higher Hospital Frailty Risk Score Is Associated With Increased Risk of Stroke: Observational and Genetic Analyses. Stroke 2023; 54:1538-1547. [PMID: 37216451 PMCID: PMC10212531 DOI: 10.1161/strokeaha.122.041891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 04/14/2023] [Indexed: 05/24/2023]
Abstract
BACKGROUND Frailty is a prevalent state associated with several aging-related traits and conditions. The relationship between frailty and stroke remains understudied. Here we aim to investigate whether the hospital frailty risk score (HFRS) is associated with the risk of stroke and determine whether a significant association between genetically determined frailty and stroke exists. DESIGN Observational study using data from All of Us research program and Mendelian Randomization analyses. METHODS Participants from All of Us with available electronic health records were selected for analysis. All of Us began national enrollment in 2018 and is expected to continue for at least 10 years. All of Us is recruiting members of groups that have traditionally been underrepresented in research. All participants provided informed consent at the time of enrollment, and the date of consent was recorded for each participant. Incident stroke was defined as stroke event happening on or after the date of consent to the All of Us study HFRS was measured with a 3-year look-back period before the date of consent for stroke risk. The HFRS was stratified into 4 categories: no-frailty (HFRS=0), low (HFRS ≥1 and <5), intermediate (≥5 and <15), and high (HFRS ≥15). Last, we implemented Mendelian Randomization analyses to evaluate whether genetically determined frailty is associated with stroke risk. RESULTS Two hundred fifty-three thousand two hundred twenty-six participants were at risk of stroke. In multivariable analyses, frailty status was significantly associated with risk of any (ischemic or hemorrhagic) stroke following a dose-response way: not-frail versus low HFRS (HR, 4.9 [CI, 3.5-6.8]; P<0.001), not-frail versus intermediate HFRS (HR, 11.4 [CI, 8.3-15.7]; P<0.001) and not-frail versus high HFRS (HR, 42.8 [CI, 31.2-58.6]; P<0.001). We found similar associations when evaluating ischemic and hemorrhagic stroke separately (P value for all comparisons <0.05). Mendelian Randomization confirmed this association by indicating that genetically determined frailty was independently associated with risk of any stroke (OR, 1.45 [95% CI, 1.15-1.84]; P=0.002). CONCLUSIONS Frailty, based on the HFRS was associated with higher risk of any stroke. Mendelian Randomization analyses confirmed this association providing evidence to support a causal relationship.
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Affiliation(s)
- Daniela Renedo
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT, USA
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Julián N. Acosta
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Andrew B. Koo
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT, USA
| | - Cyprien Rivier
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | | | - Adam de Havenon
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Richa Sharma
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Thomas M. Gill
- Department of Internal Medicine, Division of Geriatric Medicine, School of Medicine, Yale University, New Haven, CT, USA
| | - Kevin N. Sheth
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Guido J. Falcone
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Charles C. Matouk
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT, USA
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Frailty assessment using routine clinical data: An integrative review. Arch Gerontol Geriatr 2021; 99:104612. [PMID: 34986459 DOI: 10.1016/j.archger.2021.104612] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 12/08/2021] [Accepted: 12/15/2021] [Indexed: 12/21/2022]
Abstract
BACKGROUND Frailty is a common but complex problem in older adults. Frailty assessment using routine clinical data has been suggested as a pragmatic approach based on electronic health records from primary care center or hospital settings. PURPOSE We aimed to explore the tools and outcome variables used in the published studies on frailty assessment using routine clinical data. METHODS An integrative literature review was conducted using the method of Whittemore and Knafl. A literature search was conducted in PubMed, EMBASE, and CINAHL from January 2010 to October 2021. RESULTS A total of 45 studies and thirteen frailty assessment tools were analyzed. The assessment items were generally biased toward frailty's risk factors rather than the mechanisms or phenotypes of frailty. Similar to using conventional tools, routine clinical data-based frailty was associated with adverse health outcomes. CONCLUSIONS Frailty assessment based on routine clinical data could efficiently evaluate frailty using electronic health records from primary care centers or hospitals. However, they need refinement to consider the risk factors, mechanisms, and frailty phenotypes.
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