Biomarkers of inflammation and malnutrition associated with early death in healthy elderly people.
OBJECTIVE
To determine whether malnutrition and biomarkers of inflammation predict all-cause, cancer, and cardiovascular mortality in healthy elderly subjects.


METHODS
Population-based study, prospective cohort.


METHODS
Sète, on the French Mediterranean coast.


METHODS
Five hundred and fifty-three men and 888 women aged 60 and older from the Pathologies Oculaires Liées à l'Age cohort free of known comorbidities.


METHODS
Plasma levels of cholesterol, albumin, transthyretin (TTR), C-reactive protein (CRP), and alpha 1-acid glycoprotein (AAG) were measured at baseline. To investigate the risks of 5-year (early) and 5- to 9-year (late) mortality, hazard ratios (HR) were evaluated using Cox models.


RESULTS
In men, early death was associated with high CRP and AAG and low albumin and TTR. In women, early death was associated with high AAG, low TTR and low cholesterol. For late death, the only significant association was with CRP in men. A synergistic effect was observed between biomarkers of inflammation and malnutrition. In men, the adjusted HR of early death was 4.98 (95% confidence interval (CI)=2.25-11.01) for both CRP in the highest quartile and albumin in the lowest. In men, this risk was greatest for both AAG in the highest quartile and TTR in the lowest (HR=6.86, 95% CI=3.20-14.71). In women, this risk was greatest for both AAG in the highest quartile and TTR in the lowest (HR=4.64, 95% CI=1.79-12.05). Cancer mortality was greater for high CRP and AAG and for low albumin and TTR in men but not in women.


CONCLUSIONS
Biomarkers of inflammation and malnutrition together predict early mortality. In healthy elderly subjects, TTR and AAG could be helpful in identifying elderly subjects at higher risk of death.
Carriere
Isabelle
I
Inserm, U888, Montpellier, France. carriere@montp.inserm.fr
Dupuy
Anne-Marie
AM
Lacroux
Annie
A
Cristol
Jean-Paul
JP
Delcourt
Cécile
C
D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D002097:C-Reactive Protein / Q000378:metabolism; D002318:Cardiovascular Diseases / Q000276:immunology / Q000401:mortality; D002423:Cause of Death; D002784:Cholesterol / Q000097:blood; D005260:Female; D005500:Follow-Up Studies; D005602:France; D006306:Health Surveys; D006801:Humans; D018836:Inflammation Mediators / Q000097:blood*; D008297:Male; D008875:Middle Aged; D009369:Neoplasms / Q000276:immunology / Q000401:mortality; D009961:Orosomucoid / Q000378:metabolism; D011228:Prealbumin / Q000378:metabolism; D016016:Proportional Hazards Models; D011446:Prospective Studies; D011502:Protein-Energy Malnutrition / Q000175:diagnosis / Q000276:immunology* / Q000401:mortality*; D012016:Reference Values; D018570:Risk Assessment; D012709:Serum Albumin / Q000378:metabolism; D012737:Sex Factors
D018836:Inflammation Mediators; D009961:Orosomucoid; D011228:Prealbumin; D012709:Serum Albumin; D002097:C-Reactive Protein; D002784:Cholesterol