Preoperative coronary angiography within one day of valve surgery is not associated with postoperative acute kidney injury in patients with preserved renal function

J Card Surg. 2015 Jan;30(1):7-12. doi: 10.1111/jocs.12445. Epub 2014 Sep 5.

Abstract

Background: Acute kidney injury (AKI) is a common complication after cardiac surgery. Associations between the time interval (TI) from preoperative coronary angiography (CAG) to cardiac surgery have been investigated, although with conflicting results.

Methods: We evaluated data collected from a retrospective review of consecutive patients who underwent preoperative CAG and heart valve surgery at our institution between September 2008 and February 2013. A total of 426 patients met the study criteria. Patients were divided into two groups according to the length of time between preoperative CAG and valve surgery: within one day (group A) or longer than one day (group B). Logistic regression was applied to analyze the relationships between TI and postoperative AKI.

Results: Of 426 patients, 140 (33%) underwent CAG on preoperative day 1, while 286 (67%) underwent CAG on preoperative day 2 or sooner. AKI occurred in 19 (13.6%) patients in group A and in 35 (12.2%) patients in group B (p = 0.70). CAG on preoperative day 1 was not associated an increased risk of AKI relative to CAG on preoperative day 2 or sooner (p = 0.49; odds ratio, 1.26; 95% CI, 0.66 to 2.41).

Conclusions: Preoperative CAG within one day of elective heart valve surgery is not associated with an increase in postoperative AKI in patients with normal renal function.

MeSH terms

  • Acute Kidney Injury / epidemiology*
  • Acute Kidney Injury / etiology*
  • Aged
  • Cardiac Surgical Procedures*
  • Coronary Angiography / adverse effects*
  • Elective Surgical Procedures*
  • Female
  • Heart Valves / surgery*
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Postoperative Complications / epidemiology*
  • Postoperative Complications / etiology*
  • Preoperative Period*
  • Retrospective Studies
  • Risk
  • Time Factors