The DOI matches its Crossref record; 52 of the 53 references it cites were found in a registry or an index.
Coagulation and activation of inflammatory pathways in the development of functional decline and mortality in the elderly
Abstract
Purpose This study was performed to determine the effects of markers of inflammation (interleukin 6) and coagulation (D-dimer) on mortality and functional status in older persons.Methods Subjects were selected for the Duke Established Populations for Epidemiologic Studies of the Elderly. In 1992, 2569 subjects (age >71 years) were interviewed, of whom 1,723 had interleukin-6 and D-dimer measurements. Values of interleukin 6 and D-dimer were categorized into quartiles. Outcomes were mortality (through 5 years) and functional status (through 4 years). Relative risks were estimated with proportional hazards models that adjusted for potential confounders.Results The relative risk of mortality was 1.28 (95% confidence interval [CI]: 0.98 to 1.69; P = 0.06) for those with only interleukin-6 levels in the highest quartile, 1.53 (95% CI: 1.18 to 1.97; P = 0.001) for subjects with only D-dimer levels in the highest quartile, and 2.00 (95% CI: 1.53 to 2.62; P = 0.0001) for those with levels of both in the highest quartile, as compared with those who were not in either of the highest quartiles. Those with high interleukin-6 and high D-dimer levels had the greatest declines in all measures of function.Conclusion Activation of the coagulation and inflammatory pathways is associated with mortality and decline in function, and may be part of the explanation for the development of a frailty phenotype in the elderly.
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“In particular, an increase in the basal production of proinflammatory cytokines, observed in different cell types, could be a major contributor to the age-related increase of the levels of such molecules observed in several cohorts of elderly subjects [19, 67, 68].”
From Aging of the immune system: Focus on inflammation and vaccination (2016) · cites this paper as [68]
Citations
Cites
Regression Models and Life-Tables
Cox, D. R. (1972) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1972.tb00899.x · Cited by 39,793
Regression Models and Life-Tables
Cox, D. R. (1992) · Springer Series in Statistics · doi:10.1007/978-1-4612-4380-9_37 · Cited by 26,297
Atherosclerosis--an inflammatory disease
Ross, R. (1999) · New England Journal of Medicine · doi:10.1056/nejm199901143400207 · Cited by 21,725
Acute-Phase Proteins and Other Systemic Responses to Inflammation
Gabay, C., & Kushner, I. (1999) · New England Journal of Medicine · doi:10.1056/nejm199902113400607 · Cited by 6,734
Protective and Damaging Effects of Stress Mediators
McEwen, B. S. (1998) · New England Journal of Medicine · doi:10.1056/nejm199801153380307 · Cited by 6,733
Efficacy and Safety of Recombinant Human Activated Protein C for Severe Sepsis
Bernard, G. R., Vincent, J., Laterre, P., LaRosa, S. P., Dhainaut, J.-F., Lopez-Rodriguez, A., Steingrub, J. S., Garber, G. E., Helterbrand, J. D., Ely, E. W., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200103083441001 · Cited by 6,124
Ridker, P. M., Hennekens, C. H., Buring, J. E., & Rifai, N. (2000) · New England Journal of Medicine · doi:10.1056/nejm200003233421202 · Cited by 5,850
Hemodynamic shear stress and its role in atherosclerosis
Malek, A. M. (1999) · JAMA · doi:10.1001/jama.282.21.2035 · Cited by 3,650
Quality of life and pharmacoeconomics in clinical trials
Pater, J. L. (1996) · Controlled Clinical Trials · doi:10.1016/s0197-2456(97)82191-5 · Cited by 2,410
Danesh, J., Collins, R., Appleby, P. N., & Peto, R. (1998) · JAMA · doi:10.1001/jama.279.18.1477 · Cited by 2,027
Research works printed but not linked: 2
- 1990, Vol. 2
- Sorensen, 2001, A review of the immune system, 55
Cited by
Sorted by citations
Items 301–326 of 326
Recarey-Rodríguez, A. E. (2021) · Academica-e (Universidad Pública de Navarra) · doi:10.48035/tesis/2454/39685
Definições de fragilidade em idosos
Teixeira, I. N. D. O. (2006) · doi:10.47749/t/unicamp.2006.385981
Lustosa, L. P., Pereira, L. S. M., Batista, P. P., Pereira, D. A. G., Dias, J. M. D., & Parentoni, A. N. (2016) · Journal of Aging Research and Lifestyle · doi:10.14283/jarcp.2016.113
Herz-Kreislauf-Erkrankungen und Störungen von Blutgerinnungs- und Fibrinolysevorgängen
Haustein, K.-O. (2008) · Springer eBooks · doi:10.1007/978-3-540-73309-6_7
Serum levels of D-dimer and fibrinogen/fibrin degradation products correlate with BP severityPreprint
Lu, M., Wang, X., Xiao, T., Wang, S., Fang, M., Cheng, C., Xia, Y., & Liu, Y. (2020) · doi:10.21203/rs.3.rs-24302/v1
Role of Immunosenescence in Infections and Sepsis in the Elderly
Lesur, O., Fülöp, T., Castle, S. C., Larbi, A., Fortin, C. F., & Pawelec, G. (2017) · Springer eBooks · doi:10.1007/978-3-319-64597-1_48-1
: Authors' Response to Commentaries
Robine, J., & Michel, J. (2004) · The Journals of Gerontology Series A · doi:10.1093/gerona/59.6.m616
“Yes, we equate frailty with increased risk of disability (42) and death (43,44).”
BackgroundHazzard, W. R. (2005) · Humana Press eBooks · doi:10.1385/1-59259-941-9:051
Biomarkers of Aging (With a Clinical Potential in Oncology)
Hubbard, J. M. (2018) · Springer eBooks · doi:10.1007/978-3-319-44870-1_62-1
Research Methods: Translational Research in Geriatric Oncology
Williams, G. R., Muss, H. B., & Shachar, S. S. (2020) · Springer eBooks · doi:10.1007/978-3-319-57415-8_3
Girard, T. D. (2009) · Humana Press eBooks · doi:10.1007/978-1-60327-534-7_6
Balducci, L. (2007) · Elsevier eBooks · doi:10.1016/b978-1-4160-2261-9.50036-7
Rosko, A. E., Presley, C. J., Williams, G. R., & Olin, R. L. (2022) · Wiley eBooks · doi:10.1002/9781119000822.hfcm074.pub2
Effects of aging on the evolution of Apical Periodontitis lesions in rats
Roma, L. G., Andrade, R. H. T. D. L. R., Brasil, S. D. C., Moreno, A. M., Orsini, M. A., Ferreira, D. D. C., Almeida, B. M., dos Santos, R. M. M., & Armada, L. (2022) · Research Society and Development · doi:10.33448/rsd-v11i13.35505 · Cited by 1
“In general, studies in elderly rats (more than 24 months old) (Chelvarajan et al., 2005; Singh et al., 2008) and in humans over 65 years old (Franceschi et al., 2000; Cohen et al., 2003) show that activation of the aged innate immune system results in deregulated inflammation.”
BackgroundInterpretation of Laboratory Test Results in the Elderly
Bae, S. Y. (2022) · 대한임상노인의학회지 · doi:10.15656/kjcg.2022.23.2.73
Sandoval-Valdez, D. A., & Aguilar-Navarro, S. G. (2023) · Gaceta Médica de México · doi:10.24875/gmm.23000203
Aging and cancer: Clinical role of tumor markers in the geriatric population (Review)
Sundaresan, S., Rajapriya, P., & Lavanya, S. (2024) · Medicine International · doi:10.3892/mi.2024.145 · Cited by 1
“Those identified at risk by the screening test need to be further evaluated with a full CGA, and the results used may help inform specific healthcare strategies to improve cancer outcomes in older adults (61).”
Ren, Z.-F., Huang, J.-J., Yang, Z.-J., Xin, K., Li, D.-Z., Chen, Y., Guan, Y.-H., Liu, Z., Yao, Y.-M., & Wu, M. T. (2024) · Research Square · doi:10.21203/rs.3.rs-4575145/v1
Hasan, A. (2025) · Springer eBooks · doi:10.1007/978-981-96-7810-5_62
Balducci, L. (2011) · Springer eBooks · doi:10.1007/978-88-470-1806-8_21
Liu, P., Pan, Y., Song, Y., Zhou, Y., Zhang, W., Li, X., Li, J., Li, Y., & Ma, L. (2024) · Figshare · doi:10.6084/m9.figshare.26565935
Xu, C., Annapureddy, H., Carson, L., Khurana, V., Sivanandham, R., Sivanandham, S., He, T., Raehtz, K. D., Kim, J., Biber, C., et al. (2026) · JCI Insight · doi:10.1172/jci.insight.202434
“Apixaban fulfilled our selection criterion, as it acts high in the coagulation cascade, close to the site of action of the tissue factor (21).”
Synergistic effects of physical and psychological distress on immunesenescence
Duggal, N. A. (2014) · University of Birmingham Institutional Research Archive (University of Birmingham)
Biological Screening and Impact in Elderly Cancer Patients
Braud, A., & Extermann, M. (2006) · Kluwer Academic Publishers eBooks · doi:10.1007/0-387-23962-6_8
Metadata
- Authors
- Cohen, H. J., Harris, T., & Pieper, C. F.
- Affiliations
- Duke University (US)
- National Institutes of Health (US)
- Corresponding author
- Cohen, Harvey Jay
- Venue
- The American Journal of Medicine
- Publisher
- Elsevier BV
- Published
- 2003-02
- Volume
- 114
- Issue
- 3
- Pages
- 180-187
- ISSN
- 0002-9343 (ISSN-L)
- OpenAlex
- W1994696327
- Cited by
- 327
- References
- 53
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 6 · 2023: 6 · 2022: 14 · 2021: 7 · 2020: 9 · 2019: 6 · 2018: 7 · 2017: 13 · 2016: 19 · 2015: 14 · 2014: 18 · 2013: 19 · 2012: 19
- FWCI
- 10.99
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The American Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (n01ag012102-011)
- National Institute on Aging (R01AG012765, N01‐AG12102, P60AG011268)
- Topics
- Health Sciences › Medicine › Geriatrics and Gerontology › Frailty in Older Adults
- Health Sciences › Medicine › Oncology › Inflammatory Biomarkers in Disease Prognosis
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Aging, Health, and Disability
- Keywords
- interleukin-6, D-dimer, coagulation, inflammation, mortality, functional decline, frailty, older adults, inflammatory markers
- MeSH terms
- Activities of Daily Living, Aged, Aged, 80 and over, Black or African American, Blood Coagulation, Cardiovascular Diseases, Cause of Death, Diabetes Mellitus, Female, Fibrin Fibrinogen Degradation Products, Humans, Inflammation, Longitudinal Studies, Male, Neoplasms, North Carolina, Smoking, Biomarkers, Interleukin-6, Multivariate Analysis, Frail Elderly, Sex Distribution, Pulmonary Disease, Chronic Obstructive, Black People, White People
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