Frontiers in Cardiovascular Medicine (Mar 2024)

Diabetic kidney disease as an independent predictor of long-term adverse outcomes in patients with coronary artery disease and diabetic mellitus

  • Zhiyu Liu,
  • Zhiyu Liu,
  • Zhiyu Liu,
  • Rui Jiang,
  • Ruochen Xu,
  • Yunzhe Wang,
  • Yunzhe Wang,
  • Yunzhe Wang,
  • Yan Lv,
  • Yan Lv,
  • Yan Lv,
  • Chang Su,
  • Chang Su,
  • Chang Su,
  • Fengyi Yu,
  • Fengyi Yu,
  • Fengyi Yu,
  • Zhen Qin,
  • Zhen Qin,
  • Zhen Qin,
  • JunNan Tang,
  • JunNan Tang,
  • JunNan Tang,
  • JinYing Zhang,
  • JinYing Zhang,
  • JinYing Zhang

DOI
https://doi.org/10.3389/fcvm.2024.1348263
Journal volume & issue
Vol. 11

Abstract

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BackgroundDiabetic kidney disease (DKD) had been proposed as a contributor in the pathogenesis of coronary artery disease (CAD). However, the relationship of DKD and the long-term adverse outcomes in patients with CAD after percutaneous coronary intervention (PCI) was still undiscovered.MethodsApproximately 892 patients with CAD enrolled from January 2012 to December 2016. The patients were divided into two groups, the DKD group (n = 341) and the None DKD group (n = 551). The primary outcome was major adverse cardiac events (MACE) after PCI. The average follow-up time was 1,897 ± 1,276 days.ResultsBaseline data showed that some factors were significantly different between the two groups, including age, body mass index, gender (female), hypertension, smoking, stroke history, heart failure, duration of diabetic mellitus (DM), low-density lipoprotein cholesterol, urinary protein/creatinine ratio, serum creatinine, hemoglobin, platelet, antiplatelet, beta blocker, statin, antihypertensive drugs, and insulin (all p < 0.005). There were significant differences between the two groups in MACE, 40.3% vs. 52.2% (p = 0.001), and in cardiovascular death events and all-cause death events (5.6% vs. 20.5%, p < 0.001 and 4.4% vs. 13.5%, p < 0.001, respectively). In the DKD group, the risk of MACE was elevated to 141.9% [hazard ratio (HR) = 1.419, 95% confidence interval (CI): 1.164–1.730, p = 0.001] in the Cox univariable regression analyses; after adjusting co-variables, the Cox multivariable regression analyses demonstrated that DKD was an independent predictor for MACE (HR = 1.291, 95% CI: 1.027–1.624, p = 0.029) in patients with CAD after PCI, as well as in cardiovascular death events (HR = 2.148, 95% CI: 1.292–3.572, p = 0.003) and all-cause death events (HR = 2.229, 95% CI: 1.325–3.749, p = 0.003).ConclusionThis study suggests that DKD is an independent and novel predictor of long-term adverse outcomes in patients with CAD and DM who underwent PCI.

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