The dose-response association between estimated glomerular filtration rate and prognosis of patients with ST-segment elevation myocardial infarction from rural areas of China's Liaoning province.

Journal: Medicine
PMID: 29384954

Abstract

We aimed to investigate the dose-response associations between chronic kidney disease (CKD), and short and long-term cardiovascular outcomes, to characterize these associations by drawing dose-response curves based on a Chinese rural ST-segment elevation myocardial infarction (STEMI) population.In all, 1067 patients with STEMI were consecutively enrolled from 12 secondary hospitals of China's Liaoning province (from June 2009 to June 2010 and January 2015 to December 2015). The follow-up was regularly performed by telephone. Patients were grouped by estimated glomerular filter rate (eGFR): normal, eGFR ≥90 mL/min/1.73 m; mild CKD, 60 to 90 mL/min/1.73 m; CKD, <60 mL/min/1.73 m. Adjusted logistic or Cox regression models were employed to compare short and long-term cardiovascular outcomes across different eGFR groups. Dose-response curves were plotted using restricted cubic spline functions.About 18.46% of the STEMI patients had CKD. Patients with CKD were more likely to suffer from other comorbidities, but less likely to receive evidence-based therapies. CKD was independently associated with in-hospital mortality and major adverse cardiac events (MACE) as compared with patients with normal renal function (for in-hospital mortality, adjusted odds ratio [OR] 2.39, 95% confidence interval [CI] 1.18-4.85, P = .02; for in-hospital MACE, adjusted OR 2.01, 95% CI 1.09-3.70, P < .01). Likewise, CKD was significantly associated with long-term mortality as well (CKD vs normal, adjusted hazard ratio 2.55, 95% CI 1.17-5.57, P = .02). The dose-response associations between eGFR, and short and long-term cardiovascular outcomes were found to be linear (all with P values for nonlinear associations >.05).CKD is an independent predictor of worse in-hospital and long-term clinical outcomes. The assessment of eGFR is essential to enable risk stratification, tailored therapy, and early and aggressive management.

Authors

  • Guangxiao Li
    Department of Clinical Epidemiology, Institute of Cardiovascular Diseases Department of Geriatric Cardiology Department of Cardiology, First Affiliated Hospital, Dalian Medical University, Dalian Department of Cardiology, Dandong Center Hospital, Dandong Department of Experiment Teaching Center, School of Public Health, China Medical University, Shenyang, China.
  • Guoxian Qi
  • Bo Zhang
    Department of Clinical Pharmacology, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, PR China.
  • Bo Zhou
    Department of Neurology, The Third People's Hospital of Yibin, Yibin, China.
  • Bing Ma
  • Daming Jiang
  • Qiao He
  • Cong Ai
  • Huixu Dai
  • Ying Li
    School of Information Engineering, Chang'an University, Xi'an 710010, China.
  • Jingpu Shi

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