Residual inflammatory risk as a predictor of cardiometabolic multi-morbidity: results from three prospective cohorts

Shihai Wang1, Xiaobin Zeng1, Jianjun Lan1

  • 1Division of Cardiology, Panzhihua Central Hospital, Panzhihua, China.

Insights

Persistent high residual inflammatory risk (RIR), indicated by elevated high-sensitivity C-reactive protein (hsCRP), significantly increases the likelihood of developing cardiometabolic multi-morbidity (CMM). Further research into anti-inflammatory strategies is warranted.

Area of Science:

  • Cardiovascular Disease Research
  • Inflammation and Immunology
  • Epidemiology

Background:

  • Inflammation dynamics are closely linked to cardiovascular diseases.
  • Residual inflammatory risk (RIR) is a key factor in disease development.
  • Understanding RIR's predictive role in cardiometabolic multi-morbidity (CMM) is crucial.

Purpose of the Study:

  • To investigate the predictive significance of RIR in the development of CMM.
  • To analyze the association between different RIR patterns and CMM incidence.
  • To evaluate RIR as a risk factor for cardiometabolic diseases.

Main Methods:

  • Utilized data from CHARLS, HRS, and Panzhihua Central Hospital cohorts.
  • Assessed inflammation using serial high-sensitivity C-reactive protein (hsCRP) measurements.
  • Employed Cox proportional hazards regression and subgroup analyses to evaluate RIR and CMM association.

Main Results:

  • Persistent high RIR was significantly associated with increased CMM risk across all cohorts (e.g., CHARLS: HR=1.81, P<0.001).
  • This association remained robust after adjusting for confounders.
  • Subgroup analyses confirmed the consistent link between persistent high RIR and CMM.

Conclusions:

  • Persistent high RIR is a significant predictor of increased CMM risk.
  • Investigating anti-inflammatory interventions targeting RIR may offer a strategy for CMM risk mitigation.
  • Further research is needed to validate these findings and explore therapeutic approaches.
Abstract

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