Statistical distance as a measure of physiological dysregulation is largely robust to variation in its biomarker composition

PLoS ONE

Volumn 10, Issue 4, 2015, Pages

  Cohen, Alan A ^a   Li, Qing ^a   Milot, Emmanuel ^b   Leroux, Maxime ^c   Faucher, Samuel ^a   Morissette Thomas, Vincent ^a   Legault, Véronique ^a   Fried, Linda P ^d   Ferrucci, Luigi ^e  

^a UNIVERSITÉ DE SHERBROOKE   (Canada)

^b UNIVERSITÉ DU QUÉBEC À TROIS RIVIÈRES   (Canada)

^c UNIVERSITÉ DU QUÉBEC À MONTRÉAL   (Canada)

^d Mailman School of Public Health Columbia University ^*  (United States)

^e HARBOR HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALANINE AMINOTRANSFERASE; ALBUMIN; ALKALINE PHOSPHATASE; ASPARTATE AMINOTRANSFERASE; BIOLOGICAL MARKER; C REACTIVE PROTEIN; CALCIUM; CHLORIDE; CHOLESTEROL; CREATININE; CYANOCOBALAMIN; ESTRADIOL; FERRITIN; FOLIC ACID; GLUCOSE; HEMOGLOBIN; HIGH DENSITY LIPOPROTEIN; INTERLEUKIN 6; IRON; LACTATE DEHYDROGENASE; MAGNESIUM; POTASSIUM; PRASTERONE SULFATE; SODIUM; THYROTROPIN; THYROXINE; TRIACYLGLYCEROL; URIC ACID;

AGE; ARTICLE; BASOPHIL; BLOOD LEVEL; CALCULATION; COHORT ANALYSIS; CROSS-SECTIONAL STUDY; EOSINOPHIL; ERYTHROCYTE COUNT; ETHNICITY; GENDER; LEUKOCYTE COUNT; LONGITUDINAL STUDY; LYMPHOCYTE COUNT; MEAN CORPUSCULAR HEMOGLOBIN; MEASUREMENT; MONOCYTE; NEUTROPHIL COUNT; PHYSICAL DISEASE BY BODY FUNCTION; PHYSIOLOGICAL DYSREGULATION; QUANTITATIVE ANALYSIS; REFERENCE VALUE; SAMPLE SIZE; SENSITIVITY ANALYSIS; STATISTICAL ANALYSIS; STATISTICAL DISTANCE; ADULT; AGED; BIOLOGY; CHRONIC DISEASE; COMPUTER GRAPHICS; FEMALE; HUMAN; MALE; MIDDLE AGED; PREDICTIVE VALUE; PROCEDURES; PROSPECTIVE STUDY; SOFTWARE; VALIDATION STUDY; VERY ELDERLY; YOUNG ADULT;

ADULT; AGE FACTORS; AGED; AGED, 80 AND OVER; BIOMARKERS; CHRONIC DISEASE; COMPUTATIONAL BIOLOGY; COMPUTER GRAPHICS; CROSS-SECTIONAL STUDIES; DATA INTERPRETATION, STATISTICAL; FEMALE; HUMANS; LONGITUDINAL STUDIES; MALE; MIDDLE AGED; PREDICTIVE VALUE OF TESTS; PROSPECTIVE STUDIES; SOFTWARE; YOUNG ADULT;

EID: 84928795150     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0122541     Document Type: Article

References (40)

1. Kirkwood TBL. Understanding the Odd Science of Aging. Cell. 2005; 120: 437-447. PMID: 15734677
2. Medvedev ZA. An attempt at a rational classification of theories of ageing. Biological Reviews. 1990; 65: 375-398. PMID: 2205304
3. Cohen AA, Martin LB, Wingfield JC, McWilliams SR, Dunne JA. Physiological regulatory networks: ecological roles and evolutionary constraints. Trends in Ecology & Evolution. 2012; 27: 428-435.
4. Ferrucci L, Windham BG, Fried LP. Frailty in older persons. Genus. 2005; 61: 39-53.
5. Fried LP, Hadley EC, Walston JD, Newman AB, Guralnik JM, Studenski S, et al. From Bedside to Bench: Research Agenda for Frailty. Sci Aging Knowl Environ. 2005; 2005: pe24-.
6. McEwen BS, Wingfield JC. The concept of allostasis in biology and biomedicine. Hormones and Behavior. 2003; 43: 2-15. PMID: 12614627
7. Singer BH, Ryff CD, Seeman T. Operationalizing allostatic load. In: Schuli J, editor. Allostasis, Homeostasis, and the Costs of Physiological Adaptation. Cambridge, UK: Cambridge University Press; 2004. pp. 113-149.
8. Arbeev KG, Ukraintseva SV, Akushevich I, Kulminski AM, Arbeeva LS, Akushevich L, et al. Age trajectories of physiological indices in relation to healthy life course. Mechanisms of Ageing and Development. 2011; 132: 93-102. doi: 10.1016/j.mad.2011.01.001 PMID: 21262255
9. Gruenewald TL, Seeman TE, Karlamangla AS, Sarkisian CA. Allostatic Load and Frailty in Older Adults. Journal of the American Geriatrics Society. 2009; 57: 1525-1531. doi: 10.1111/j.1532-5415.2009.02389.x PMID: 19682116
10. Karlamangla AS, Singer BH, McEwen BS, Rowe JW, Seeman TE. Allostatic load as a predictor of functional decline: MacArthur studies of successful aging. Journal of Clinical Epidemiology. 2002; 55: 696-710. PMID: 12160918
11. Seplaki CL, Goldman N, Weinstein M, Lin Y-H. Measurement of Cumulative Physiological Dysregulation in an Older Population. Demography. 2006; 43: 165-183. PMID: 16579213
12. Yashin AI, Arbeev KG, Akushevich I, Kulminski A, Akushevich L, Ukraintseva SV. Stochastic model for analysis of longitudinal data on aging and mortality. Mathematical Biosciences. 2007; 208: 538-551. PMID: 17300818
13. Cohen AA, Milot E, Yong J, Seplaki CL, Fülöp T, Bandeen-Roche K, et al. A novel statistical approach shows evidence for multi-system physiological dysregulation during aging. Mechanisms of Ageing and Development. 2013; 134: 110-117. doi: 10.1016/j.mad.2013.01.004 PMID: 23376244
14. Cohen AA, Milot E, Li Q, Legault V, Fried LP, Ferrucci L. Cross-population validation of statistical distance as a measure of physiological dysregulation during aging. Experimental Gerontology. 2014; 57: 203-210. doi: 10.1016/j.exger.2014.04.016 PMID: 24802990
15. Milot E, Morissette-Thomas V, Li Q, Fried LP, Ferrucci L, Cohen AA. Trajectories of physiological dysregulation predicts mortality and health outcomes in a consistent manner across three populations. Mechanisms of Ageing and Development. 2014; 141-142: 56-63.
16. Mahalanobis PC. Mahalanobis distance. Proceedings National Institute of Science of India. 1936; 49: 234-256.
17. Saltelli A, Ratto M, Andres T, Campolongo F, Cariboni J, Gatelli D, et al. Global Sensitivity Analysis: The Primer; Sons JW, editor; 2008.
18. Ferrucci L, Bandinelli S, Benvenuti E, Di Iorio A, Macchi C, Harris TB, et al. Subsystems contributing to the decline in ability to walk: bridging the gap between epidemiology and geriatric practice in the InCHIANTI study. Journal of the American Geriatric Society. 2000; 48: 1618-1625. PMID: 11129752
19. Fried LP, Kasper KD, Guralnik JM, Simonsick EM. The Women's Health and Aging Study: an introduction. In: Guralnik JM, Fried LP, Simonsick EM, Kasper KD, Lafferty ME, editors. The Women's Health and Aging Study: health and social characteristics of old women with disability. Bethesda: National Institute on Aging; 1995. pp.
20. Fried LP, Bandeen-Roche K, Chaves PH, Johnson BA. Preclinical mobility disability predicts incident mobility disabilityin older women. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences. 2000; 55: M43-M52.
21. Ferrucci L. The Baltimore Longitudinal Study on Aging: a 50 year long journey and plans for the future. Giornale di Gerontologia. 2009; 57: 3-8.
22. Centers for Disease Control and Prevention. National Healthand Nutrition Examination Survey: Plan and Operations, 1999-2010. U.S. Department of Health and Human Services. PMID: 25078429
23. Fried LP, Tangen CM, Walston J, Newman AB, Hirsch C, Gottdiener J, et al. Frailty in Older Adults: Evidence for a Phenotype Journal of gerontology Series A, Biological sciences and medical sciences. 2001; 56: M146-M157. PMID: 11253156
24. Seplaki CL, Goldman N, Glei D, Weinstein M A. comparative analysis of measurement approaches for physiological dysregulation in an older population. Exp Gerontol. 2005; 40: 438-449. PMID: 15919596
25. Vaillant N, Wolff FC. On the reliability of self-reported health: evidence from Albanian data. J Epidemiol Glob Health. 2012; 2: 83-98. doi: 10.1016/j.jegh.2012.04.003 PMID: 23856424
26. Meijer E, Kapteyn A, Andreyeva T. Internationally comparable health indices. Health Econ. 2011; 20: 600-619. doi: 10.1002/hec.1620 PMID: 20572201
27. Bound J. Self-reported versus objective measures of health in retirement models. Journal of Human Resources. 1991; 26: 106-138.
28. Li Q. Identifiability of mean-reverting measurement error with instrumental variable. Statistica Neerlandica. 2014; 68: 118-129.
29. Levine ME. Modeling the rate of senescence: can estimated biological age predict mortality more accurately than chronological age? J Gerontol A Biol Sci Med Sci. 2013; 68: 667-674. doi: 10.1093/gerona/gls233 PMID: 23213031
30. Milot E, Cohen AA, Vézina F, Buehler DM, Matson KD, Piersma T. A novel integrative method for measuring body condition in ecological studies based on physiological dysregulation. Methods in Ecology and Evolution. 2014; 5: 146-155.
31. Hill GE. Condition-dependent traits as signals of the functionality of vital cellular processes. Ecology Letters. 2011; 14: 625-634. doi: 10.1111/j.1461-0248.2011.01622.x PMID: 21518211
32. Crimmins EM, Johnston M, Hayward M, Seeman T. Age differences in allostatic load: an index of physiological dysregulation. Experimental Gerontology. 2003; 38: 731-734. PMID: 12855278
33. Glei DA, Goldman N, Chuang Y-L, Weinstein M. Do Chronic Stressors Lead to Physiological Dysregulation? Testing the Theory of Allostatic Load. Psychosom Med. 2007; 69: 769-776. PMID: 17942833
34. Seeman TE, McEwen BS, Rowe JW, Singer BH. Allostatic load as a marker of cumulative biological risk: MacArthur studies of successful aging. Proceedings of the National Academy of Sciences of the United States of America. 2001; 98: 4770-4775. PMID: 11287659
35. Szanton SL, Allen JK, Seplaki CL, Bandeen-Roche K, Fried LP. Allostatic Load and Frailty in the Women's Health and Aging Studies. Biological Research For Nursing. 2009; 10: 248-256. doi: 10.1177/1099800408323452 PMID: 18829589
36. Mitnitski A, Bao L, Rockwood K. Going from bad to worse: A stochastic model of transitions in deficit accumulation, in relation to mortality. Mechanisms of Ageing and Development. 2006; 127: 490-493. PMID: 16519921
37. Rockwood K, Song X, MacKnight C, Bergman H, Hogan DB, McDowell I, et al. A global clinical measure of fitness and frailty in elderly people. Canadian Medical Association Journal. 2005; 173: 489-495. PMID: 16129869
38. Searle S, Mitnitski A, Gahbauer E, Gill T, Rockwood K. A standard procedure for creating a frailty index. BMC Geriatrics. 2008; 8: 24. doi: 10.1186/1471-2318-8-24 PMID: 18826625
39. Rockwood K, Mitnitski A, Song X, Steen B, Skoog I. Long-Term Risks of Death and Institutionalization of Elderly People in Relation to Deficit Accumulation at Age 70. Journal of the American Geriatrics Society. 2006; 54: 975-979. PMID: 16776795
40. Howlett SE, Rockwood MR, Mitnitski A, Rockwood K. Standard laboratory tests to identify older adults at increased risk of death. BMC medicine. 2014; 12: 171. doi: 10.1186/s12916-014-0171-9 PMID: 25288274