Multiple linear regression model was constructed based on the influencing factors of vancomycin trough concentration

Abstract

Objective: To evaluate the influencing factors of Vancomycin trough concentration in blood, construct an individualized Vancomycin administration model for rational use of Vancomycin. Methods: The clinical data of Vancomycin trough concentration in blood from June 2020 to December 2022 in our hospital were analyzed retrospectively. The effects of age, sex, Vancomycin administration and cumulative dose, albumin, total bilirubin, alanine aminotransferase, Creatinine (CR), urea (Bun), Creatinine clearance rate (Ccr), and time of blood sample collection on Vancomycin trough concentration were analyzed. A linear regression equation for the influencing factors of Vancomycin trough concentration in blood was constructed. Results: Sixty-six patients (82.5%) were treated with Vancomycin by intravenous drip. Significant differences existed in the influence of patients’ age, Vancomycin administration, CR, Bun and Ccr on Vancomycin trough concentration ( P < 0.05). Vancomycin trough concentration in blood showed negative correlated with Ccr ( P < 0.05). The regression model of Vancomycin trough concentration in blood was y = 40.911 - 10.971 × method of administration - 1.715 × collection time + 1.018 × cumulative dose - 0.178 × Ccr, the model could predict 41.30% Vancomycin trough concentration in blood. Conclusion: The influencing factors of Vancomycin trough concentration in blood were complex. The constructed regression model of Vancomycin concentration in plasma may provide a scientific reference for individualized administration of Vancomycin in clinical practice.