Analysis of predictive factors of thrombosis in autogenous arteriovenous fistula

Yu-Meng Zhang1, Wen Chen1, Hai-Lang Wei1

  • 1Department of Nephrology, The first Affiliated Hospital, Gannan Medical University, Ganzhou, Jiangxi, China.

Insights

Platelet count (PLT), platelet distribution width (PDW), platelet-large cell ratio (P-LCR), mean platelet volume (MPV), and homocysteine (HCY) predict autogenous arteriovenous fistula (aAVF) thrombosis. Combining these markers offers superior early detection compared to individual indicators.

Area of Science:

  • Vascular Surgery
  • Nephrology
  • Hematology

Background:

  • Autogenous arteriovenous fistula (aAVF) is crucial for hemodialysis access.
  • Thrombosis remains a primary cause of aAVF failure, necessitating early detection strategies.

Purpose of the Study:

  • To identify predictors for the early diagnosis of thrombosis in autogenous arteriovenous fistulas (aAVF).

Main Methods:

  • Patients were categorized into thrombus and control groups.
  • Collected data included demographics and biochemical markers: Platelets (PLT), P-LCR, PDW, MPV, and homocysteine (HCY).
  • Statistical analyses involved t-tests, logistic regression, and ROC curve analysis to evaluate predictor efficacy.

Main Results:

  • PLT, PDW, P-LCR, MPV, and HCY levels significantly differed between groups and were positively correlated with thrombogenesis.
  • Logistic regression identified these five markers as significant predictors of aAVF thrombosis.
  • A combined predictor model demonstrated high diagnostic accuracy (87%), sensitivity (92.4%), and specificity (81.2%) with an AUC of 0.933.

Conclusions:

  • PLT, PDW, P-LCR, MPV, and HCY are valuable predictors for aAVF thrombus.
  • The combination of these five indicators provides a more robust and accurate method for early aAVF thrombosis prediction than single markers.
Abstract

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