Type 2 & other diabetes

Circulating palmitoyl sphingomyelin levels predict the 10-year increased risk of cardiovascular disease death in Chinese adults: findings from the Da Qing Diabetes Study

Cardiovasc DiabetolPublished Prospective cohort study

Main finding · CVD death incidence by PSM tertileResult — go to the resultHazard ratio 2.73 95% CI 1.20–6.22

Authors' conclusion

Elevated PSM levels are significantly associated with a higher 10-year risk of CVD death, but not non-CVD death, in Chinese adults with diabetes. These findings suggest that PSM is a potentially useful long-term predictor of CVD death in individuals with diabetes.

Study context

Population
Chinese adults with or without diabetes from the original Da Qing Diabetes Study; baseline blood samples 2009286 with and 219 without DM · Chinese adults with 286 · or without 219
Exposure
Highest vs lowest palmitoyl sphingomyelin (PSM) tertile
Outcome
CVD death
Follow-up
2009 to 2020
Methodological detailsfollow-up of the Da Qing Diabetes Study
  • Follow-up of the Da Qing Diabetes Study

Main finding

CVD death incidence by PSM tertile

Hazard ratio

2.73

95% CI 1.20–6.22

Highest PSM tertilevs Lowest PSM tertile
HR 2.73 (95% CI 1.20–6.22)

As reported in the abstract

Linear association of baseline PSM (log-2) with cardiovascular disease (CVD) death, all participants, adjusted
P < 0.001
CVD death incidence, highest tertile vs comparator, with DM (per 1000 person-years)
41.5 vs. 14.7
CVD death incidence, highest tertile vs comparator, without DM (per 1000 person-years)
22.2 vs. 2.9

Observational data: associations, not effects.

Further findings

All-cause and non-CVD death · 2009 to 2020

Linear association of PSM with all-cause death
P < 0.001
No association with non-CVD death
P > 0.05
Deaths during follow-up
178, including 87 due to CVD

Original publication

Circulating palmitoyl sphingomyelin levels predict the 10-year increased risk of cardiovascular disease death in Chinese adults: findings from the Da Qing Diabetes Study. Cardiovasc Diabetol. Published 20 January 2024. doi:10.1186/s12933-023-02116-8

Composed by AI from the published abstract and checked against it. How Briefs are made →

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