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Association between Phenotypic Age and Mortality in Patients with Multivessel Coronary Artery Disease

  • Qiong Ma
  • , Bo Lin Li
  • , Lei Yang
  • , Miao Zhang
  • , Xin Xin Feng
  • , Qian Li
  • , Hui Liu
  • , Ya Jie Gao
  • , Wen Zhuo Ma
  • , Rui Juan Shi
  • , Yan Bo Xue
  • , Xiao Pu Zheng
  • , Ke Gao
  • , Jian Jun Mu
  • The First Affiliated Hospital of Xi’an Jiaotong University
  • Key Laboratory of Smart Grid of Shaanxi Province
  • The Second Affiliated Hospital of Xi'an Jiaotong University
  • University of Rhode Island

Research output: Contribution to journalArticlepeer-review

33 Scopus citations

Abstract

Background. Chronological age (CA) is not a perfect proxy for the true biological aging status of the body. A new biological aging measure, phenotypic age (PhenoAge), has been shown to capture morbidity and mortality risk in the general US population and diverse subpopulations. This study was aimed at evaluating the association between PhenoAge and long-term outcome of patients with multivessel coronary artery disease (CAD). Methods. A total of 609 multivessel CAD patients who received PCI attempt and with follow-up were enrolled. The clinical outcome was all-cause mortality on follow-up. PhenoAge was calculated using an equation constructed from CA and 9 clinical biomarkers. Cox proportional hazards regression models and receiver operating characteristic (ROC) curves were performed to evaluate the association between PhenoAge and mortality. Results. Overall, patients with more diseases had older PhenoAge and phenotypic age acceleration (PhenoAgeAccel). After a median follow-up of 33.5 months, those with positive PhenoAgeAccel had a significantly higher incidence of all-cause mortality (P=0.001). After adjusting for CA, Cox proportional hazards models showed that both PhenoAge and PhenoAgeAccel were significantly associated with all-cause mortality. Even after further adjusting for confounding factors, each 10-year increase in PhenoAge was also associated with a 51% increased mortality risk. ROC curves revealed that PhenoAge, with an area under the curve of 0.705, significantly outperformed CA, the individual clinical chemistry measure, and other risk factors. When reexamining the ROC curves using various combinations of variables, we found that PhenoAge provides additional predictive power to all models. Conclusions. In conclusion, PhenoAge was strongly associated with all-cause mortality even after adjusting for CA. Our findings suggest that PhenoAge measure may be complementary in predicting mortality risk for patients with multivessel CAD.

Original languageEnglish
Article number4524032
JournalDisease Markers
Volume2022
DOIs
StatePublished - 2022
Externally publishedYes

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