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Telomere length, comorbidity, functional, nutritional and cognitive status as predictors of 5 years post hospital discharge survival in the oldest old

  • JNHA: Clinical Neurosciences
  • Published:
The journal of nutrition, health & aging

Abstract

Background

Telomere length has been considered in many cross-sectional studies as a biomarker of aging. However the association between shorter telomeres with lower survival at advanced ages remains a controversial issue. This association could reflect the impact of other health conditions than a direct biological effect.

Objective

To test whether leukocyte telomere length is associated with 5-year survival beyond the impact of other risk factors of mortality like comorbidity, functional, nutritional and cognitive status.

Design

Prospective study.

Setting and participants

A population representative sample of 444 patients (mean age 85 years; 74% female) discharged from the acute geriatric hospital of Geneva University Hospitals (January–December 2004), since then 263 (59.2%) had died (December 2009).

Measurements

Telomere length in leukocytes by flow cytometry.

Results

In univariate model, telomere length at baseline and cognitive status were not significantly associated with mortality even when adjusting for age (R2=9.5%) and gender (R2=1.9%). The best prognostic predictor was the geriatric index of comorbidity (GIC) (R2=8.8%; HR=3.85) followed by more dependence in instrumental (R2=5.9%; HR=3.85) and based (R2=2.3%; HR=0.84) activities of daily living and lower albumin levels (R2=1.5%; HR=0.97). Obesity (BMI>30: R2=1.6%; HR=0.55) was significantly associated with a two-fold decrease in the risk of mortality compared to BMI between 20–25. When all independent variables were entered in a full multiple Cox regression model (R2=21.4%), the GIC was the strongest risk predictor followed by the nutritional and functional variables.

Conclusion

Neither telomeres length nor the presence of dementia are predictors of survival whereas the weight of multiple comorbidity conditions, nutritional and functional impairment are significantly associated with 5-year mortality in the oldest old.

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References

  1. Wong JM, Collins K. Telomere maintenance and disease. Lancet 2001; 362:983–988.

    Article  Google Scholar 

  2. Harley CB, Futcher AB, Greider CW. Telomeres shorten during ageing of human fibroblasts. Nature 1990; 345:458–460.

    Article  PubMed  CAS  Google Scholar 

  3. Slagboom PE, Droog S, Boomsma DI. Genetic determination of telomere size in humans: a twin study of three age groups. Am J Hum Genet 1994; 55: 876–882.

    PubMed  CAS  Google Scholar 

  4. Martens UM, Brass V, Sedlacek L. Telomere maintenance in human B lymphocytes. Br J Haematol 2002; 119:810–818.

    Article  PubMed  CAS  Google Scholar 

  5. Allsopp RC, Vaziri H, Patterson C, Goldstein S, Younglai EV, Futcher AB et al. Telomere length predicts replicative capacity of human fibroblasts. Proc Natl Acad Sci USA 1992; 89:10114–10118.

    Article  PubMed  CAS  Google Scholar 

  6. Lindsey J, McGill NI, Lindsey LA, Green DK, Cooke HJ. In vivo loss of telomeric repeats with age in humans. Mutat Res 1991; 256:45–48.

    PubMed  CAS  Google Scholar 

  7. Houben JM, Moonen HJ, van Schooten FJ, Hageman GJ. Telomere length assessment: biomarker of chronic oxidative stress? Free Radic Biol Med 2008; 44:235–246.

    Article  PubMed  CAS  Google Scholar 

  8. Njajou OT, Cawthon RM, Damcott CM, Wu SH, Ott S, Garant MJ et al. Telomere length is paternally inherited and is associated with parental lifespan. Proc Natl Acad Sci USA 2007; 104:12135–12139.

    Article  PubMed  CAS  Google Scholar 

  9. Cawthon RM, Smith KR, O’Brien E, Sivatchenko A, Kerber RA. Association between telomere length in blood and mortality in people aged 60 years or older. Lancet 2003; 361:393–395.

    Article  PubMed  CAS  Google Scholar 

  10. Bischoff C, Graakjaer J, Petersen HC, Hjelmborg JB, Vaupel JW, Bohr V et al. The heritability of telomere length among the elderly and oldest-old. Twin Res Hum Genet 2005; 8:433–439.

    Article  PubMed  Google Scholar 

  11. Bischoff C, Petersen HC, Graakjaer J, Andersen-Ranberg K, Vaupel JW, Bohr VA et al. No association between telomere length and survival among the elderly and oldest old. Epidemiology 2006; 17:190–194.

    Article  PubMed  Google Scholar 

  12. Martin-Ruiz CM, Gussekloo J, van Heemst D, von Zglinicki T, Westendorp RG. Telomere length in white blood cells is not associated with morbidity or mortality in the oldest old: A population-based study. Aging Cell 2005; 4:287–290.

    Article  PubMed  CAS  Google Scholar 

  13. Njajou OT, Hsueh WC, Blackburn EH, Newman AB, Wu SH, Li R et al. Association between telomere length, specific causes of death, and years of healthy life in health, aging, and body composition, a population-based cohort study. J Gerontol A Biol Sci Med Sci 2009; 8:860–864.

    Article  Google Scholar 

  14. Zekry D, Herrmann FR, Grandjean R, Meynet MP, Michel JP, Gold G, Krause KH. Demented versus non-demented very old inpatients: the same comorbidities but poorer functional and nutritional status. Age Ageing 2008; 37:83–89.

    Article  PubMed  Google Scholar 

  15. Zekry D, Herrmann FR, Grandjean R, Vitale AM, De Pinho MF, Michel JP et al. Does dementia predict adverse hospitalization outcomes? A prospective study in aged inpatients. Int J Geriatr Psychiatry 2009; 24:283–291.

    Article  PubMed  Google Scholar 

  16. Zekry D, Herrmann FR, Irminger-Finger I, Ortolan L, Genet C, Vitale AM et al. Telomere length is not predictive of dementia or MCI conversion in the oldest old. Neurobiol Aging 2010; 31:719–20.

    Article  PubMed  CAS  Google Scholar 

  17. Hultdin M, Grönlund E, Norrback K, Eriksson-Lindström E, Just T, Roos G. Telomere analysis by fluorescence in situ hybridization and flow cytometry. Nucleic Acids Res 1998; 26:3651–3656.

    Article  PubMed  CAS  Google Scholar 

  18. Rubenstein LZ, Harker JO, Salva A, Guigoz Y, Vellas B. Screening for undernutrition in geriatric practice: developing the short-form mini-nutritional assessment (MNA-SF). J Gerontol A Biol Sci Med Sci 2001; 56:366–372.

    Article  Google Scholar 

  19. Katz S, Ford AB, Moskowitz RW, Jackson BA, Jaffe MW. Studies of illness in the aged. The index of ADL: a standardized measure of biological and psychological function. JAMA 1963; 185:914–919.

    Article  PubMed  CAS  Google Scholar 

  20. Lawton MP, Brody EM. Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist 1969; 9:179–186.

    Article  PubMed  CAS  Google Scholar 

  21. Zekry D, Hermont Loures Valle B, Esposito F, Michel JP, Gold G, Krause KH, Herrmann FR. Prospective comparison of six comorbidity indices as predictors of 5 years post hospital discharge survival in the elderly. Rej Res 2010; Sept 6, PMID:20818930.

  22. Rozzini R, Frisoni GB, Ferrucci L, Barbisoni P, Sabatini T, Ranieri P et al. Geriatric Index of Comorbidity: validation and comparison with other measures of comorbidity. Age Ageing 2002; 31:277–285.

    Article  PubMed  Google Scholar 

  23. Folstein MF, Folstein SE, MacHugh PR. Mini Mental State: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 1975; 12:189–198.

    Article  PubMed  CAS  Google Scholar 

  24. Solomon PR, Hirschoff A, Kelly B, Relin M, Brush M, DeVeaux RD, Pendlebury WW. A 7 minute neurocognitive screening battery highly sensitive to Alzheimer’s disease. Arch Neurol 1998; 55:349–355.

    Article  PubMed  CAS  Google Scholar 

  25. Robert PH, Schuck S, Dubois B, Olié JP, Lépine JP, Gallarda T et al. Screening for Alzheimer’s Disease with the Short Cognitive Evaluation Battery. Dement Geriatr Cogn Disord 2003; 15: 92–98.

    Article  PubMed  Google Scholar 

  26. American Psychiatric Association. 2000. Diagnostic and Statistical Manual of Mental Disorders, 4th Ed Text Revision (DSM IV-TR). American Psychiatric Association: Washington, DC.

    Google Scholar 

  27. McKahnn G, Drachman D, Folstein M, Katzman R, Price D, Stadlan EM. Clinical diagnosis of Alzheimer’s disease: report of the NINCDS-ADRDA Work Group under the auspices of the Department of Health and Human Services Task Force on Alzheimer’s Disease. Neurology 1984; 34:939–944.

    Google Scholar 

  28. Roman GC, Tatemichi TK, Erkinjuntti T, Cummings JL, Masdeu JC, Garcia JH et al. Vascular dementia: diagnostic criteria for research studies: report of the NINDSAIREN International Workshop. Neurology 1993; 43:250–260.

    PubMed  CAS  Google Scholar 

  29. Royston P. Explained variation for survival models. The Stata Journal 2006; 6:83–96.

    Google Scholar 

  30. Bakaysa SL, Mucci LA, Slagboom PE, Boomsma DI, McClearn GE, Johansson B, Pedersen NL. Telomere length predicts survival independent of genetic influences. Aging Cell 2007; 6:769–774.

    Article  PubMed  CAS  Google Scholar 

  31. Terry DF, Nolan VG, Andersen SL, Perls TT, Cawthon R. Association of longer telomeres with better health in centenarians. J Gerontol A Biol Sci Med Sci 2008; 63:809–812.

    Article  PubMed  Google Scholar 

  32. Covinsky KE, Justice AM, Rosenthal GE, Palmer R, Landefeld CS. Measuring prognosis and case mix in hospitalized elders: the importance of functional status. J Gen Intern Med 1997; 12:203–208.

    PubMed  CAS  Google Scholar 

  33. Inouye SK, Peduzzi PN, Robison JT, Hughes JS, Horwitz RI, Concato J. Importance of functional measures in predicting mortality among older hospitalized patients. JAMA 1998; 279:1187–1193.

    Article  PubMed  CAS  Google Scholar 

  34. Espaulella J, Arnau A, Cubí D, Amblàs J, Yánez A. Time-dependent prognostic factors of 6-month mortality in frail elderly patients admitted to post-acute care. Age Ageing 2007; 36:407–413.

    Article  PubMed  Google Scholar 

  35. Drame M, Jovenin N, Novella JL, Lang PO, Somme D, Laniece I et al. Predicting early mortality among elderly patients hospitalised in medical wards via emergency department: the SAFES cohort study. J Nutr Health Aging 2008; 12:599–604.

    Article  PubMed  CAS  Google Scholar 

  36. Tschanz JT, Corcoran C, Skoog I, Khachaturian AS, Herrick J, Hayden KM et al. Dementia: the leading predictor of death in a defined elderly population: the Cache County Study. Neurology 2004; 62:1156–1162.

    PubMed  CAS  Google Scholar 

  37. Ganguli M, Dodge HH, Shen C, Pandav RS, DeKosky ST. Alzheimer disease and mortality: a 15-year epidemiological study. Arch Neurol 2005; 62:779–784.

    Article  PubMed  Google Scholar 

  38. Andersen K, Lolk A, Martinussen T, Kragh-Sørensen P. Very mild to severe dementia and mortality: A 14-year follow-up — The Odense study. Dement Geriatr Cogn Disord 2010; 29:61–67.

    Article  PubMed  Google Scholar 

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Zekry, D., Krause, K.H., Irminger-Finger, I. et al. Telomere length, comorbidity, functional, nutritional and cognitive status as predictors of 5 years post hospital discharge survival in the oldest old. J Nutr Health Aging 16, 225–230 (2012). https://doi.org/10.1007/s12603-011-0138-x

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  • DOI: https://doi.org/10.1007/s12603-011-0138-x

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