Interactions between C-reactive protein and traditional risk factors in predicting mortality of older adults

Henrik Rudolf1, Naemi Wall1, Renate Klaassen-Mielke1

  • 11 Ruhr-University Bochum, Bochum, Germany.

Insights

High C-reactive protein (CRP) levels increase mortality risk in older adults. This risk is modified by age, sex, and hypertension, but not by body mass index or diabetes.

Area of Science:

  • Gerontology
  • Cardiovascular Medicine
  • Biomarkers

Background:

  • Elevated C-reactive protein (CRP) is linked to cardiovascular (CV) morbidity and mortality in the elderly.
  • The association between CRP and CV outcomes shows heterogeneity across different individual subgroups.
  • Understanding these interactions is crucial for refining risk prediction models in older populations.

Purpose of the Study:

  • To investigate the interaction effects of CRP with traditional CV risk factors on all-cause mortality.
  • To assess these interactions in unselected elderly men and women aged 65 years and older.
  • To determine if age, sex, body mass index, diabetes, or hypertension modify the CRP-mortality association.

Main Methods:

  • The study enrolled 6,817 participants aged 65+ from the getABI study in Germany.
  • Baseline CRP levels were measured, and all-cause mortality was tracked over seven years.
  • Cox regression analyses, including univariable and multivariable models, were employed.

Main Results:

  • High CRP levels (> 3 mg/L) were associated with increased all-cause mortality (adjusted HR 1.34).
  • Significant interactions were observed between CRP and sex (HR 1.38), age (HR 0.75), and systolic blood pressure (HR 0.64).
  • Interactions between CRP and body mass index or diabetes were not statistically significant.

Conclusions:

  • In older German adults, CRP's predictive value for all-cause mortality is modified by age, sex, and arterial hypertension.
  • These findings highlight the importance of considering individual risk factor profiles when interpreting CRP levels.
  • Effect modification by these factors suggests personalized risk assessment strategies may be beneficial.
Abstract

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