Hematometabolic Index as a New Discriminator of Cardiometabolic Risk in Middle-Aged Men with Polycythemia and High

Ichiro Wakabayashi1, Takashi Daimon2

  • 1Department of Environmental and Preventive Medicine, School of Medicine, Hyogo Medical University, Nishinomiya, Japan.

Insights

Polycythemia and high leukocyte count together increase cardiometabolic risk. A new hematometabolic index (HMI) may help identify individuals at higher risk, particularly younger men.

Area of Science:

  • Cardiovascular Medicine
  • Hematology
  • Metabolic Health

Background:

  • Polycythemia and elevated leukocyte counts are individually linked to cardiovascular disease risk.
  • The synergistic effect of these hematological parameters on cardiometabolic risk remains unclear.

Purpose of the Study:

  • To investigate the combined impact of hemoglobin concentration and leukocyte count on cardiometabolic risk.
  • To develop and validate a novel index, the hematometabolic index (HMI), for assessing cardiometabolic risk.

Main Methods:

  • Analysis of a cohort of 11,140 middle-aged men undergoing health check-ups.
  • Stratification by tertiles of hemoglobin and leukocyte counts to assess cardiometabolic index (CMI) and metabolic syndrome prevalence.
  • Development of HMI: (hemoglobin - 13.0) * (leukocyte count - 3000).
  • Receiver-operating characteristic (ROC) analysis to evaluate HMI's discriminatory power.

Main Results:

  • The highest risk for high CMI and metabolic syndrome was observed in individuals in the highest tertiles for both hemoglobin and leukocyte counts.
  • HMI demonstrated significant area under the ROC curve (AUC) values for predicting high CMI and metabolic syndrome.
  • HMI's predictive ability decreased with increasing age, with a notable AUC of 0.707 for metabolic syndrome in the 30-39 age group.

Conclusions:

  • Combined high hemoglobin and leukocyte counts present the greatest cardiometabolic risk.
  • The hematometabolic index (HMI) shows promise as a novel biomarker for identifying individuals at risk of cardiometabolic disorders.
  • HMI's effectiveness may be age-dependent, suggesting tailored risk assessment strategies.

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