Platelet-leukocyte aggregates - a predictor for acute kidney injury after cardiac surgery

Ren Fail. 2021 Dec;43(1):1155-1162. doi: 10.1080/0886022X.2021.1948864.

Abstract

Background: Acute kidney injury (AKI) is one of the most common complications after cardiac surgery. However, effective biomarker used for early diagnosis of AKI has not been identified. Platelet-leukocyte aggregates (PLAs) participate in inflammation and coagulation, leading to vascular lesions and tissue destruction. We designed a prospective study to assess whether PLAs can serve as a good biomarker for early diagnosis of AKI after cardiac surgery.

Methods: Patients with rheumatic heart disease scheduled to undergo valve replacement surgery were enrolled. Blood samples were collected at five timepoints as follows: (a) At baseline. (b) At the end of extracorporeal circulation. (c) Arrival at intensive care unit (ICU). (d) Four-hours after the admission to ICU. (e) Twenty hours after the admission to ICU. After collection, the samples were immediately used for PLAs measurement by flow cytometry.

Results: A total of 244 patients were registered, and 15 of them were diagnosed with AKI according to the serum creatinine of KDIGO guidelines. The PLAs levels in AKI group were significantly increased 20 h after surgery (two-way repeated measure analysis of variance, p < 0.01) compared with that at baseline. Patients whose preoperative PLAs were higher than 6.8% showed increased risk of developing AKI (multivariate logistic regression; p = 0.01; adjusted odds ratio, 1.05; 95% confidence interval, 1.01-1.09).

Conclusion: PLAs is an independent risk factor for AKI after valve replacement among patients with rheumatic heart disease.

Keywords: Acute kidney injury; cardiac surgery; platelets-leukocyte aggregates.

MeSH terms

  • Acute Kidney Injury / blood
  • Acute Kidney Injury / diagnosis*
  • Acute Kidney Injury / etiology*
  • Adult
  • Biomarkers / blood
  • Cardiac Surgical Procedures / adverse effects*
  • Creatinine / blood*
  • Early Diagnosis
  • Female
  • Humans
  • Intensive Care Units
  • Leukocytes
  • Logistic Models
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Platelet Aggregation
  • Prospective Studies
  • Rheumatic Heart Disease / surgery*
  • Risk Factors
  • Time Factors

Substances

  • Biomarkers
  • Creatinine

Grants and funding

This work was supported by the National Natural Science Foundation of China [81570374, 81371878 and 81902126] and Sichuan Science and Technology Program [2020YFS0254].