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Thompson HM, Thanik E, Sabra A, Ko F, Hung WW, Colicino E, Lucchini RG, Bello G, Crane M, Teitelbaum SL, Ornstein KA. A pilot study to identify factors associated with frailty within the World Trade Center general responder cohort. Am J Ind Med 2024; 67:582-591. [PMID: 38735862 DOI: 10.1002/ajim.23590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 04/23/2024] [Accepted: 04/24/2024] [Indexed: 05/14/2024]
Abstract
BACKGROUND Given the significant exposures experienced by the World Trade Center (WTC) general responders, there is increasing interest in understanding the effect of these exposures on aging in this population. We aim to identify factors that may be associated with frailty, a clinical syndrome characterized by a decrease in one's reserve that has been linked to poor health outcomes. METHODS WTC general responders enrolled in the WTC Health Program aged 50 and older provided informed consent. Validated frailty assessments, the Frailty Phenotype (with the Johns Hopkins Frailty Assessment Calculator) along with the FRAIL scale, categorized nonfrail from prefrail/frail. Fall risk, functional status, and cognition were also assessed. WTC variables, including an identified WTC-certified condition, were utilized. The risk of frailty was estimated using log binomial regression analysis. A 95% confidence interval (CI) was used to estimate the prevalence ratio (PR). RESULTS One hundred and six participants were included; 38 (35.8%) were classified as pre-frail or frail. More of the pre-frail/frail group were obese (57.9% vs. 25%; p = 0.004) and had a WTC-certified condition (78.9% vs. 58.8%; p = 0.036). Obesity (PR = 2.43, 95% CI = 1.31, 4.53), a WTC-certified condition (PR = 1.77, 95% CI = 1.09, 2.89), and risk of falling (PR = 1.97, 95% CI = 1.01, 3.84) were independently associated with frailty. CONCLUSIONS Obesity and having a WTC-certified condition were found to be risk factors for frailty in our pilot study. Future work may focus on further identifying risk factors for frailty in the larger WTC general responder population.
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Affiliation(s)
- Hannah M Thompson
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Erin Thanik
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Ahmad Sabra
- General Responder Data Center, Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Fred Ko
- Brookdale Department of Geriatrics and Palliative Medicine, Geriatric, Research, Education and Clinical Center, Icahn School of Medicine at Mount Sinai, James J Peters VA Medical Center, New York, New York, USA
| | - William W Hung
- Brookdale Department of Geriatrics and Palliative Medicine, Geriatric, Research, Education and Clinical Center, Icahn School of Medicine at Mount Sinai, James J Peters VA Medical Center, New York, New York, USA
| | - Elena Colicino
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Roberto G Lucchini
- Department of Environmental Health Sciences, School of Public Health, Florida International University, Miami, Florida, USA
| | - Ghalib Bello
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Michael Crane
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Susan L Teitelbaum
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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O’Donovan MR, Devleesschauwer B, Sezgin D, Liew A, Kabir Z, O’Caoimh R. Comparing frailty prevalence between countries: validation of the Global Burden of Disease study Frailty Index (GBD-FI) in the survey of health, ageing and retirement in Europe. Age Ageing 2023; 52:afad214. [PMID: 38029517 PMCID: PMC11004790 DOI: 10.1093/ageing/afad214] [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: 04/26/2023] [Indexed: 12/01/2023] Open
Abstract
BACKGROUND Accurate comparable prevalence proportions are required to better understand the epidemiology of frailty. Estimates in many countries are missing or incomparable. The Global Burden of Disease Frailty Index (GBD-FI) applies the deficit accumulation model to generate frailty scores from items available in the Global Burden of Disease study. OBJECTIVE To externally validate the GBD-FI. METHODS Data were obtained from the Survey of Health Ageing and Retirement in Europe (SHARE). A 20-item modified GBD-FI was compared with established frailty measures: a 70-item frailty index (FI-70), the Clinical Frailty Scale (CFS), Frailty Phenotype (FP) and SHARE-FI. Area under receiver operating characteristic curves (AUC) were fitted to examine diagnostic accuracy for frailty and predictive validity for 2-year mortality. RESULTS In total, 31,624 participants aged ≥50 years from 15 countries were included. Frailty prevalence was 22% using the GBD-FI (ranging from 8% in Switzerland to 41% in Poland). The GBD-FI had good to excellent diagnostic accuracy for frailty, irrespective of approach; the AUC ranged from 0.86 (95% confidence interval: 0.85-0.87) measuring frailty using the CFS to 0.94 (0.93-0.94) with the FI-70. The GBD-FI had similar accuracy for 2-year mortality (AUC 0.71, 0.69-0.74) compared with the CFS (0.73; P = 0.186), FP (0.73; P = 0.392) and SHARE-FI (0.70; P = 0.255) but lower than the FI-70 (0.76; P < 0.001). CONCLUSION The GBD-FI demonstrated concurrent and predictive validity, suggesting it is a valid measure of frailty. It has the potential to be an efficient, replicable and consistent approach to comparing frailty between countries and regions across time using GBD data.
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Affiliation(s)
- Mark R O’Donovan
- Health Research Board Clinical Research Facility, University College Cork, Mercy University Hospital, Cork City, Ireland
| | - Brecht Devleesschauwer
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
- Department of Translational Physiology, Infectiology and Public Health, Ghent University, Merelbeke, Belgium
| | - Duygu Sezgin
- School of Nursing and Midwifery, College of Medicine, Nursing and Health Sciences, University of Galway, Galway, Ireland
| | - Aaron Liew
- School of Nursing and Midwifery, College of Medicine, Nursing and Health Sciences, University of Galway, Galway, Ireland
- Department of Endocrinology, Portiuncula University Hospital, Ballinasloe, Ireland
| | - Zubair Kabir
- Department of Epidemiology & Public Health, School of Public Health, University College Cork, Cork City, Ireland
| | - Rónán O’Caoimh
- Health Research Board Clinical Research Facility, University College Cork, Mercy University Hospital, Cork City, Ireland
- Department of Geriatric Medicine, Mercy University Hospital, Cork City, Ireland
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3
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Sapp DG, Cormier BM, Rockwood K, Howlett SE, Heinze SS. The frailty index based on laboratory test data as a tool to investigate the impact of frailty on health outcomes: a systematic review and meta-analysis. Age Ageing 2023; 52:afac309. [PMID: 36626319 PMCID: PMC9831271 DOI: 10.1093/ageing/afac309] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Indexed: 01/11/2023] Open
Abstract
The frailty index (FI) quantifies frailty as deficit accumulation. It has been adapted to employ laboratory test data (FI-Lab). Our objective was to systematically review and meta-analyse the FI-Lab's ability to predict mortality. Secondary objectives were to review the FI-Lab's association with adverse health outcomes and whether FI-Lab scores differed between the sexes. A systematic literature search was carried out using six online databases to identify studies that measured the FI-Lab in humans. Hazard ratios (HRs) were combined in a meta-analysis to create a pooled risk estimate for mortality. Of the 1,201 papers identified, spanning January 2010 until 11 July 2022, 38 were included. FI-Lab scores per 0.01 unit increase predicted mortality overall (HR = 1.04; 95% confidence interval (CI) = 1.03-1.05) and for studies with a mean age of 81+ years (HR = 1.04; 95% CI = 1.03-1.05). The quality of evidence for these meta-analyses are moderate and high, respectively. Further, higher FI-Lab scores were associated with more frequent adverse health outcomes. Sex differences in FI-Lab scores varied, with no consistent indication of a sex effect. The FI-Lab is associated with mortality and with a variety of adverse health outcomes. No consistent sex differences in FI-Lab scores were observed, with several studies in disagreement. Notably, these conclusions were most relevant to older (65+ years old) individuals; further evidence in younger people is needed in both clinical and population representative studies.
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Affiliation(s)
- David G Sapp
- Department of Pathology, Dalhousie University, Halifax, Nova Scotia B3H 4R2, Canada
| | - Brianna M Cormier
- Department of Pharmacology, Dalhousie University, Halifax, Nova Scotia B3H 4R2, Canada
| | - Kenneth Rockwood
- Department of Medicine (Geriatric Medicine), Dalhousie University, Halifax, Nova Scotia B3H 4R2, Canada
| | - Susan E Howlett
- Department of Pharmacology, Dalhousie University, Halifax, Nova Scotia B3H 4R2, Canada
- Department of Medicine (Geriatric Medicine), Dalhousie University, Halifax, Nova Scotia B3H 4R2, Canada
| | - Stefan S Heinze
- Department of Pharmacology, Dalhousie University, Halifax, Nova Scotia B3H 4R2, Canada
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4
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Kim Y, Song K, Kang CM, Lee H. Impact of preoperative laboratory frailty index on mortality and clinical outcomes in older surgical patients with cancer. Sci Rep 2022; 12:9200. [PMID: 35654943 PMCID: PMC9163125 DOI: 10.1038/s41598-022-13426-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Accepted: 05/05/2022] [Indexed: 11/09/2022] Open
Abstract
Frailty in older patients is associated with poor postoperative outcomes. The use of uncomplicated frailty measurement tools is preferred in busy clinical settings. Therefore, we validated the frailty index using routine laboratory data and the surgical outcomes of older patients with cancer who underwent cancer resection. We retrospectively analyzed 9015 patients aged 65 years and older who underwent cancer resection at a single tertiary hospital. Based on electronic-medical-record data regarding preoperative blood test results and vital signs, Laboratory Frailty Index (FI-Lab) scores were generated to measure preoperative frailty. The associations of FI-Lab with postoperative length of stay (LOS), readmission within 30 days, intensive care unit (ICU) admission within 30 days, and mortality were evaluated. The mean FI-Lab score of the 9015 patients was 0.20 ± 0.10. Increased FI-Lab scores (0.25–0.4; > 0.4) were associated with longer LOS, increased readmission within 30 days of surgery, ICU admission, and increased mortality, compared with FI-Lab scores < 0.25. The FI-Lab score, as a frailty indicator, was able to predict the risk of poor postoperative outcomes. Therefore, the FI-Lab is a potentially useful tool for assessing preoperative frailty in older patients with cancer in acute clinical setting.
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Affiliation(s)
- Yoonjoo Kim
- Department of Nursing, Graduate School, Yonsei University, Seoul, South Korea.,Department of Nursing, College of Healthcare Sciences, Far East University, Eumseong-gun, Chungcheongbuk-do, South Korea
| | - Kijun Song
- Mo-Im Kim Nursing Research Institute, College of Nursing, Yonsei University, Seoul, South Korea
| | - Chang Moo Kang
- Division of HBP Surgery, Department of Surgery, Yonsei University College of Medicine, Seoul, South Korea.,Pancreatobiliary Cancer Center, Yonsei Cancer Center, Severance Hospital, Seoul, South Korea
| | - Hyangkyu Lee
- Mo-Im Kim Nursing Research Institute, College of Nursing, Yonsei University, Seoul, South Korea.
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5
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Blodgett JM, Pérez-Zepeda MU, Godin J, Kehler DS, Andrew MK, Kirkland S, Rockwood K, Theou O. Frailty indices based on self-report, blood-based biomarkers and examination-based data in the Canadian Longitudinal Study on Aging. Age Ageing 2022; 51:6581611. [PMID: 35524747 PMCID: PMC9078045 DOI: 10.1093/ageing/afac075] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Frailty can be operationalised using the deficit accumulation approach, which considers health deficits across multiple domains. We aimed to develop, validate and compare three different frailty indices (FI) constructed from self-reported health measures (FI-Self Report), blood-based biomarkers (FI-Blood) and examination-based assessments (FI-Examination). METHODS Up to 30,027 participants aged 45-85 years from the baseline (2011-2015) comprehensive cohort of the Canadian Longitudinal Study on Aging were included in the analyses. Following standard criteria, three FIs were created: a 48-item FI-Self Report, a 23-item FI-Blood and a 47-item FI-Examination. In addition a 118-item FI-Combined was constructed. Mortality status was ascertained in July 2019. RESULTS FI-Blood and FI-Examination demonstrated broader distributions than FI-Self Report. FI-Self Report and FI-Blood scores were higher in females, whereas FI-Examination scores were higher in males. All FI scores increased nonlinearly with age and were highest at lower education levels. In sex and age-adjusted models, a 0.01 increase in FI score was associated with a 1.08 [95% confidence interval (CI): 1.07,1.10], 1.05 (1.04,1.06), 1.07 (1.05,1.08) and a 1.13 (1.11,1.16) increased odds of mortality for FI-Self Report, FI-Blood, FI-Examination and FI-Combined, respectively. Inclusion of the three distinct FI types in a single model yielded the best prognostic accuracy and model fit, even compared to the FI-Combined, with all FIs remaining independently associated with mortality. CONCLUSION Characteristics of all FIs were largely consistent with previously established FIs. To adequately capture frailty levels and to improve our understanding of the heterogeneity of ageing, FIs should consider multiple types of deficits including self-reported, blood and examination-based measures.
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Affiliation(s)
- Joanna M Blodgett
- Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Mario U Pérez-Zepeda
- Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada,Instituto Nacional de Geriatria, Mexico City, Mexico,Centro de Investigacion en Ciencias de la Salud (CICSA), FCS, Universidad Anáhuac Mexico Campus Norte, Huixquilucan Mexico
| | - Judith Godin
- Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
| | - D Scott Kehler
- Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada,School of Physiotherapy, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Melissa K Andrew
- Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Susan Kirkland
- Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada,Department of Community Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Kenneth Rockwood
- Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Olga Theou
- Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada,School of Physiotherapy, Dalhousie University, Halifax, Nova Scotia, Canada,Address correspondence to: Olga Theou, School of Physiotherapy and Department of Medicine, Dalhousie University and Nova Scotia Health, Halifax, Nova Scotia, Canada. Tel: 902-473-4846; Fax: 902-473-1050.
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6
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Clouston SAP, Hall CB, Kritikos M, Bennett DA, DeKosky S, Edwards J, Finch C, Kreisl WC, Mielke M, Peskind ER, Raskind M, Richards M, Sloan RP, Spiro A, Vasdev N, Brackbill R, Farfel M, Horton M, Lowe S, Lucchini RG, Prezant D, Reibman J, Rosen R, Seil K, Zeig-Owens R, Deri Y, Diminich ED, Fausto BA, Gandy S, Sano M, Bromet EJ, Luft BJ. Cognitive impairment and World Trade Centre-related exposures. Nat Rev Neurol 2022; 18:103-116. [PMID: 34795448 PMCID: PMC8938977 DOI: 10.1038/s41582-021-00576-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/29/2021] [Indexed: 02/03/2023]
Abstract
On 11 September 2001 the World Trade Center (WTC) in New York was attacked by terrorists, causing the collapse of multiple buildings including the iconic 110-story 'Twin Towers'. Thousands of people died that day from the collapse of the buildings, fires, falling from the buildings, falling debris, or other related accidents. Survivors of the attacks, those who worked in search and rescue during and after the buildings collapsed, and those working in recovery and clean-up operations were exposed to severe psychological stressors. Concurrently, these 'WTC-affected' individuals breathed and ingested a mixture of organic and particulate neurotoxins and pro-inflammogens generated as a result of the attack and building collapse. Twenty years later, researchers have documented neurocognitive and motor dysfunctions that resemble the typical features of neurodegenerative disease in some WTC responders at midlife. Cortical atrophy, which usually manifests later in life, has also been observed in this population. Evidence indicates that neurocognitive symptoms and corresponding brain atrophy are associated with both physical exposures at the WTC and chronic post-traumatic stress disorder, including regularly re-experiencing traumatic memories of the events while awake or during sleep. Despite these findings, little is understood about the long-term effects of these physical and mental exposures on the brain health of WTC-affected individuals, and the potential for neurocognitive disorders. Here, we review the existing evidence concerning neurological outcomes in WTC-affected individuals, with the aim of contextualizing this research for policymakers, researchers and clinicians and educating WTC-affected individuals and their friends and families. We conclude by providing a rationale and recommendations for monitoring the neurological health of WTC-affected individuals.
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Affiliation(s)
- Sean A P Clouston
- Program in Public Health, Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.
| | - Charles B Hall
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Minos Kritikos
- Program in Public Health, Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Department of Neurological Sciences, Rush Medical College, Rush University, Chicago, IL, USA
| | - Steven DeKosky
- Evelyn F. and William L. McKnight Brain Institute and Florida Alzheimer's Disease Research Center, Department of Neurology and Neuroscience, University of Florida, Gainesville, FL, USA
| | - Jerri Edwards
- Department of Psychiatry and Behavioral Neuroscience, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Caleb Finch
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - William C Kreisl
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University, New York, NY, USA
| | - Michelle Mielke
- Specialized Center of Research Excellence on Sex Differences, Department of Neurology, Department of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Elaine R Peskind
- Veteran's Association VISN 20 Northwest Mental Illness Research, Education, and Clinical Center, Veteran's Affairs Puget Sound Health Care System, Seattle, WA, USA
- Alzheimer's Disease Research Center, Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Murray Raskind
- Veteran's Association VISN 20 Northwest Mental Illness Research, Education, and Clinical Center, Veteran's Affairs Puget Sound Health Care System, Seattle, WA, USA
- Alzheimer's Disease Research Center, Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Marcus Richards
- Medical Research Council Unit for Lifelong Health and Ageing, Population Health Sciences, University College London, London, UK
| | - Richard P Sloan
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Avron Spiro
- Department of Epidemiology, School of Public Health, Boston University, Boston, MA, USA
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), Department of Veterans Affairs Boston Healthcare System, Boston, MA, USA
| | - Neil Vasdev
- Azrieli Centre for Neuro-Radiochemistry, Brain Health Imaging Center, Center for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Robert Brackbill
- World Trade Center Health Registry, New York Department of Health and Mental Hygiene, New York, NY, USA
| | - Mark Farfel
- World Trade Center Health Registry, New York Department of Health and Mental Hygiene, New York, NY, USA
| | - Megan Horton
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sandra Lowe
- The World Trade Center Mental Health Program, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Roberto G Lucchini
- Department of Environmental Health Sciences, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, FL, USA
| | - David Prezant
- World Trade Center Health Program, Fire Department of the City of New York, Brooklyn, NY, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Joan Reibman
- Department of Environmental Medicine, New York University Langone Health, New York, NY, USA
| | - Rebecca Rosen
- World Trade Center Environmental Health Center, Department of Psychiatry, New York University, New York, NY, USA
| | - Kacie Seil
- World Trade Center Health Registry, New York Department of Health and Mental Hygiene, New York, NY, USA
| | - Rachel Zeig-Owens
- World Trade Center Health Program, Fire Department of the City of New York, Brooklyn, NY, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Yael Deri
- Department of Medicine, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA
- Department of Psychiatry, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA
| | - Erica D Diminich
- Program in Public Health, Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Bernadette A Fausto
- Center for Molecular & Behavioral Neuroscience, Rutgers, The State University of New Jersey, Newark, NJ, USA
| | - Sam Gandy
- Research and Development Service, James J. Peters Department of Veterans Affairs Medical Center, Bronx, NY, USA
- Mount Sinai Alzheimer's Disease Research Center and Ronald M. Loeb Center for Alzheimer's Disease, Department of Psychiatry, Icahn School of Medicine, Mount Sinai, New York, NY, USA
| | - Mary Sano
- Research and Development Service, James J. Peters Department of Veterans Affairs Medical Center, Bronx, NY, USA
- Mount Sinai Alzheimer's Disease Research Center and Ronald M. Loeb Center for Alzheimer's Disease, Department of Psychiatry, Icahn School of Medicine, Mount Sinai, New York, NY, USA
| | - Evelyn J Bromet
- Department of Psychiatry, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA
| | - Benjamin J Luft
- Department of Medicine, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA
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Bello GA, Ornstein KA, Lucchini RG, Hung WW, Ko FC, Colicino E, Taioli E, Crane MA, Todd AC. Development and Validation of a Clinical Frailty Index for the World Trade Center General Responder Cohort. J Aging Health 2021; 33:531-544. [PMID: 33706594 DOI: 10.1177/0898264321997675] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Objectives: To develop and validate a clinical frailty index to characterize aging among responders to the 9/11 World Trade Center (WTC) attacks. Methods: This study was conducted on health monitoring data on a sample of 6197 responders. A clinical frailty index, WTC FI-Clinical, was developed according to the cumulative deficit model of frailty. The validity of the resulting index was assessed using all-cause mortality as an endpoint. Its association with various cohort characteristics was evaluated. Results: The sample's median age was 51 years. Thirty items were selected for inclusion in the index. It showed a strong correlation with age, as well as significant adjusted associations with mortality, 9/11 exposure severity, sex, race, pre-9/11 occupation, education, and smoking status. Discussion: The WTC FI-Clinical highlights effects of certain risk factors on aging within the 9/11 responder cohort. It will serve as a useful instrument for monitoring and tracking frailty within this cohort.
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Affiliation(s)
- Ghalib A Bello
- Department of Environmental Medicine and Public Health, World Trade Center Health Program General Responder Data Center, 5925Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Katherine A Ornstein
- Brookdale Department of Geriatrics and Palliative Medicine, 5925Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Roberto G Lucchini
- Department of Environmental Medicine and Public Health, World Trade Center Health Program General Responder Data Center, 5925Icahn School of Medicine at Mount Sinai, New York, NY, USA.,5450Florida International University, School of Public Health, Miami, FL, USA.,University of Brescia, Brescia, Italy
| | - William W Hung
- Brookdale Department of Geriatrics and Palliative Medicine, 5925Icahn School of Medicine at Mount Sinai, New York, NY, USA.,James J. Peters VA Medical Center, New York, NY, USA
| | - Fred C Ko
- Brookdale Department of Geriatrics and Palliative Medicine, 5925Icahn School of Medicine at Mount Sinai, New York, NY, USA.,James J. Peters VA Medical Center, New York, NY, USA
| | - Elena Colicino
- Department of Environmental Medicine and Public Health, 5925Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Emanuela Taioli
- Institute for Translational Epidemiology, 5925Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Population Health Science and Policy, 5925Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Thoracic Surgery, 5925Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Michael A Crane
- Department of Environmental Medicine and Public Health, World Trade Center Health Program Clinical Center of Excellence at Mount Sinai, 5925Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Andrew C Todd
- Department of Environmental Medicine and Public Health, World Trade Center Health Program General Responder Data Center, 5925Icahn School of Medicine at Mount Sinai, New York, NY, USA
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8
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Ellis HL, Wan B, Yeung M, Rather A, Mannan I, Bond C, Harvey C, Raja N, Dutey-Magni P, Rockwood K, Davis D, Searle SD. Complementing chronic frailty assessment at hospital admission with an electronic frailty index (FI-Laboratory) comprising routine blood test results. CMAJ 2020; 192:E3-E8. [PMID: 31907228 DOI: 10.1503/cmaj.190952] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/08/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Acutely ill and frail older adults have complex social and health care needs. It is important to understand how this complexity affects acute outcomes for admission to hospital. We validated a frailty index using routine admission laboratory tests with outcomes after patients were admitted to hospital. METHODS In a prospective cohort of older adults admitted to a large tertiary hospital in the United Kingdom, we created a frailty index from routine admission laboratory investigations (FI-Laboratory) linked to data comprising hospital outcomes. We evaluated the association between the FI-Laboratory and total days spent in hospital, discharge to a higher level of care, readmission and mortality. RESULTS Of 2552 admissions among 1750 older adults, we were able to generate FI-Laboratory values for 2254 admissions (88.3% of the cohort). More than half of admitted patients were women (55.3%) and the mean age was 84.6 (SD 14.0) years. We found that the FI-Laboratory correlated weakly with the Clinical Frailty Scale (CFS; r 2 = 0.09). An increase in the CFS and the equivalent of 3 additional abnormal laboratory test results in the FI-Laboratory, respectively, were associated with an increased proportion of inpatient days (rate ratios [RRs] 1.43, 95% confidence interval [CI] 1.35-1.52; and 1.47, 95% CI 1.41-1.54), discharge to a higher level of care (odd ratios [ORs] 1.39, 95% CI 1.27-1.52; and 1.30, 95% CI 1.16-1.47) and increased readmission rate (hazard ratios [HRs] 1.26, 95% CI 1.17-1.37; and 1.18, 95% CI 1.11-1.26). Increases in the CFS and FI-Laboratory were associated with increased mortality HRs of 1.39 (95% CI 1.28-1.51) and 1.45 (95% CI 1.37-1.54), respectively. INTERPRETATION We determined that FI-Laboratory, distinct from baseline frailty, could be used to predict risk of many adverse outcomes. The score is therefore a useful way to quantify the degree of acute illness in frail older adults.
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Affiliation(s)
- Hugh Logan Ellis
- University College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS
| | - Bettina Wan
- University College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS
| | - Michael Yeung
- University College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS
| | - Arshad Rather
- University College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS
| | - Imran Mannan
- University College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS
| | - Catherine Bond
- University College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS
| | - Catherine Harvey
- University College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS
| | - Nadia Raja
- University College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS
| | - Peter Dutey-Magni
- University College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS
| | - Kenneth Rockwood
- University College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS
| | - Daniel Davis
- University College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS
| | - Samuel D Searle
- University College London Hospitals NHS Foundation Trust (Logan Ellis, Wan, Yeung, Rather, Mannan, Bond, Harvey, Raja, Davis); Institute of Health Informatics (Dutey-Magni), UCL; MRC Unit for Lifelong Health and Ageing at UCL (Davis, Searle), London, UK; Division of Geriatric Medicine, Department of Medicine (Rockwood, Searle), Dalhousie University, Halifax, NS
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9
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Brackbill RM, Alper HE, Frazier P, Gargano LM, Jacobson MH, Solomon A. An Assessment of Long-Term Physical and Emotional Quality of Life of Persons Injured on 9/11/2001. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:E1054. [PMID: 30909548 PMCID: PMC6466210 DOI: 10.3390/ijerph16061054] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Revised: 03/20/2019] [Accepted: 03/21/2019] [Indexed: 12/15/2022]
Abstract
Fifteen years after the disaster, the World Trade Center Health Registry (Registry) conducted The Health and Quality of Life Survey (HQoL) assessing physical and mental health status among those who reported sustaining an injury on 11 September 2001 compared with non-injured persons. Summary scores derived from the Short Form-12 served as study outcomes. United States (US) population estimates on the Physical Component Score (PCS-12) and Mental Component Score (MCS-12) were compared with scores from the HQoL and were stratified by Post-traumatic Stress Disorder (PTSD) and injury status. Linear regression models were used to estimate the association between both injury severity and PTSD and PCS-12 and MCS-12 scores. Level of injury severity and PTSD history significantly predicted poorer physical health (mean PCS-12). There was no significant difference between injury severity level and mental health (mean MCS-12). Controlling for other factors, having PTSD symptoms after 9/11 predicted a nearly 10-point difference in mean MCS-12 compared with never having PTSD. Injury severity and PTSD showed additive effects on physical and mental health status. Injury on 9/11 and a PTSD history were each associated with long-term decrements in physical health status. Injury did not predict long-term decrements in one's mental health status. Although it is unknown whether physical wounds of the injury healed, our results suggest that traumatic injuries appear to have a lasting negative effect on perceived physical functioning.
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Affiliation(s)
- Robert M Brackbill
- World Trade Center Registry, New York Department of Health and Mental Hygiene, New York, NY 10013, USA.
| | - Howard E Alper
- World Trade Center Registry, New York Department of Health and Mental Hygiene, New York, NY 10013, USA.
| | - Patricia Frazier
- Department of Psychology, University of Minnesota, Minneapolis, MN 55455, USA.
| | - Lisa M Gargano
- World Trade Center Registry, New York Department of Health and Mental Hygiene, New York, NY 10013, USA.
| | - Melanie H Jacobson
- World Trade Center Registry, New York Department of Health and Mental Hygiene, New York, NY 10013, USA.
| | - Adrienne Solomon
- World Trade Center Registry, New York Department of Health and Mental Hygiene, New York, NY 10013, USA.
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