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Rosero-Bixby L, Dow WH. Predicting mortality with biomarkers: a population-based prospective cohort study for elderly Costa Ricans. Popul Health Metr. 2012;10(1):11doi: 10.1186/1478-7954-10-11.
Rosero-Bixby, L., & Dow, W. H. (2012). Predicting mortality with biomarkers: a population-based prospective cohort study for elderly Costa Ricans. Population health metrics, 10(1), 11. https://doi.org/10.1186/1478-7954-10-11
Rosero-Bixby, Luis, and Dow, William H. "Predicting mortality with biomarkers: a population-based prospective cohort study for elderly Costa Ricans." Population health metrics vol. 10,1 (2012): 11. doi: https://doi.org/10.1186/1478-7954-10-11
Rosero-Bixby L, Dow WH. Predicting mortality with biomarkers: a population-based prospective cohort study for elderly Costa Ricans. Popul Health Metr. 2012 Jun 13;10(1):11. doi: 10.1186/1478-7954-10-11. PMID: 22694922; PMCID: PMC3507767.
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Popul Health Metr. 2012 Jun 13;10(1):11. doi: 10.1186/1478-7954-10-11.

Predicting mortality with biomarkers: a population-based prospective cohort study for elderly Costa Ricans.

Population health metrics

Luis Rosero-Bixby, William H Dow

Affiliations

  1. University of California at Berkeley, School of Public Health, 239 University Hall, #7360, Berkeley, CA, 94720-7360, USA. [email protected].

PMID: 22694922 PMCID: PMC3507767 DOI: 10.1186/1478-7954-10-11

Abstract

BACKGROUND: Little is known about adult health and mortality relationships outside high-income nations, partly because few datasets have contained biomarker data in representative populations. Our objective is to determine the prognostic value of biomarkers with respect to total and cardiovascular mortality in an elderly population of a middle-income country, as well as the extent to which they mediate the effects of age and sex on mortality.

METHODS: This is a prospective population-based study in a nationally representative sample of elderly Costa Ricans. Baseline interviews occurred mostly in 2005 and mortality follow-up went through December 2010. Sample size after excluding observations with missing values: 2,313 individuals and 564 deaths.

MAIN OUTCOME: prospective death rate ratios for 22 baseline biomarkers, which were estimated with hazard regression models.

RESULTS: Biomarkers significantly predict future death above and beyond demographic and self-reported health conditions. The studied biomarkers account for almost half of the effect of age on mortality. However, the sex gap in mortality became several times wider after controlling for biomarkers. The most powerful predictors were simple physical tests: handgrip strength, pulmonary peak flow, and walking speed. Three blood tests also predicted prospective mortality: C-reactive protein (CRP), glycated hemoglobin (HbA1c), and dehydroepiandrosterone sulfate (DHEAS). Strikingly, high blood pressure (BP) and high total cholesterol showed little or no predictive power. Anthropometric measures also failed to show significant mortality effects.

CONCLUSIONS: This study adds to the growing evidence that blood markers for CRP, HbA1c, and DHEAS, along with organ-specific functional reserve indicators (handgrip, walking speed, and pulmonary peak flow), are valuable tools for identifying vulnerable elderly. The results also highlight the need to better understand an anomaly noted previously in other settings: despite the continued medical focus on drugs for BP and cholesterol, high levels of BP and cholesterol have little predictive value of mortality in this elderly population.

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