Autor: |
Binu Susan Mathew, Sumith K. Mathew, Blessed Winston Aruldhas, Ratna Prabha, Naveen Gangadharan, Vinoi George David, Santosh Varughese, George Tharayil John |
Rok vydání: |
2022 |
Předmět: |
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Zdroj: |
Clinical Biochemistry. :25-34 |
ISSN: |
0009-9120 |
Popis: |
Serial monitoring of tacrolimus and serum creatinine after renal transplantation is of vital importance. In this study, a liquid chromatography-tandem mass spectrometry (LC-MS/MS) assay for the estimation of tacrolimus and creatinine, obtained from dried blood spots (DBS) or by volumetric absorptive microsampling (VAMS) was validated and the two sampling strategies were compared with traditional venous sampling.The LC-MS/MS assay was validated using a shared extract for the estimation of tacrolimus and creatinine from DBS and VAMS independently. The relationship between the concentrations in DBS/VAMS specimens and in venous samples was assessed using Passing-Bablok (PB) analysis and the bias between the two methods was determined by the Bland Altman (BA) analysis.The imprecision and bias of tacrolimus and creatinine estimated from DBS and VAMS samples was12% and was independent of the hematocrit (Hct). Samples were stable for five days at ambient temperature. From the PB regression analysis, correction equations were generated for the prediction of tacrolimus and creatinine values from DBS and VAMS samples. In a separate cohort of patients for validation, the corrected DBS and VAMS concentrations had a mean (95% CI) bias for tacrolimus of -0.64 (-2.98 to 1.70)% and -0.92 (-3.69 to 1.85)% respectively and for creatinine of 1.00 (-2.73 to 4.72)% and -0.71 (-3.74 to 2.32)% respectively. Using DBS and VAMS respectively, for tacrolimus, 91.8 and 89.8% of patient values and for creatinine, 69.4 and 81.6% of patient values were within the limits of clinical acceptance (within 15% agreement against the venous samples).We conclude that VAMS is the preferred single sampling option for estimating tacrolimus and creatinine in renal transplant patients. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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