Literature DB >> 35694178

Clinical validation of a liquid chromatography-tandem mass spectrometry method for the quantification of calcineurin and mTOR inhibitors in dried matrix on paper discs.

Ignacio Guillermo Bressán1,2, María Isabel Giménez1,3, Susana Francisca Llesuy2.   

Abstract

Introduction: Advances in liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) have enabled the quantification of immunosuppressants using microsampling techniques. In this context, dried matrix on paper discs (DMPD) could be a useful alternative to conventional venipuncture. Although analytical validation is necessary to establish the suitability of method performance, it is not sufficient to proceed with its implementation into routine clinical practice. Also necessary is that equivalence between sampling methods be demonstrated in a clinical validation study. Objetives: To clinically validate a LC-MS/MS method for the quantification of tacrolimus, sirolimus, everolimus and cyclosporin A using DMPD.
Methods: According to the recommendations of international guidelines, at least 40 whole blood (WB) and DMPD paired samples for each analyte were collected by skilled technicians and analyzed using LC-MS/MS. Results were evaluated in terms of statistical agreement and bias values at medical decision points.
Results: For all analytes, Passing-Bablok regression analysis revealed that confidence intervals (CIs) for slopes and intercepts included 1 and 0, respectively. It also showed that biases at medical decision points were not clinically relevant. No statistically significant differences between DMPD and WB were found using difference plots and agreement analysis. In this regard, CIs for bias estimators included 0, and more than 95% of the results fell within the limits of agreement.
Conclusion: The feasibility of the clinical application of simultaneous quantification of tacrolimus, sirolimus, everolimus and cyclosporin A in DMPD was demonstrated. Results showed that this microsampling technique is interchangeable with conventional WB sampling when specimens are collected by trained personnel.
© 2022 THE AUTHORS.

Entities:  

Keywords:  Clinical validation; Dried matrix on paper discs (DMPD); Immunosuppressants; Liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS); Method comparison

Year:  2022        PMID: 35694178      PMCID: PMC9184858          DOI: 10.1016/j.jmsacl.2022.06.002

Source DB:  PubMed          Journal:  J Mass Spectrom Adv Clin Lab        ISSN: 2667-145X


Area under the concentration time curve Pre-dose trough concentration 2-hour post-dose concentration 95 % confidence intervals 95 % confidence interval for the intercept 95 % confidence interval for the slope Clinical Laboratory Standards Institute Dried blood spots Dried matrix on paper discs Evaluation Protocol Hematocrit Dipotassium ethylenediaminetetraacetic acid International Association of Therapeutic Drug Monitoring and Clinical Toxicology Liquid chromatography coupled to tandem mass spectrometry Limits of agreement Limited sampling strategy Multiple reaction monitoring Mammalian target of Rapamycin Determination coefficient Volumetric absorptive microsampling Whole blood

Introduction

In the field of solid organ transplantation, calcineurin (tacrolimus and cyclosporin A) and mTOR (sirolimus and everolimus) inhibitors are two of the most widely prescribed groups of immunosuppressive agents. These drugs are long-life administrated to attenuate the recipient’s immune response to the donor organ or tissue. Therefore, they play a central role in the prevention and treatment of acute and chronic allograft rejection [1]. Due to their high between-subject pharmacokinetic variability and narrow therapeutic windows, therapeutic monitoring of immunosuppressants is highly recommended. The measurement of these drugs in biological samples is an essential tool to individualize dose regimens, obtain the best clinical outcome and avoid adverse effects [[2], [3]]. One of the most distinctive characteristics of immunosuppressive drugs is their extensive binding to erythrocytes. Tacrolimus, sirolimus, everolimus and cyclosporin A are mainly distributed via red blood cells (75 %, 94.5 %, 75 % and 58 %, respectively) [4]. For this reason, whole blood (WB) is the gold standard matrix for patient monitoring. In this regard, pre-dose trough concentration (C0) is most generally used to adjust dosage in transplant patients. In addition, therapeutic ranges for these drugs are generally based on C0 values [[5], [6], [7], [8], [9], [10]]. Nevertheless, either 2-hour post-dose concentration (C2) for cyclosporin A or abbreviated area under the concentration time curve (AUC) obtained by limited sampling strategy (LSS) is better in predicting response compared to C0 [[2], [11], [12], [13]]. However, these approaches still face financial and logistical issues that make them difficult to implement in clinical practice [14]. Regardless of the number of samples and their time of collection, venipuncture is the standard procedure to obtain WB specimens. This is an invasive technique that must be performed by skilled technicians in a clinical setting. In addition, analytes are usually poorly stable in this matrix at room temperature. Therefore, samples should be rapidly delivered to the clinical laboratory to prevent degradation, which is generally a time-consuming and costly process [15]. Advances in liquid chromatography coupled to tandem mass spectrometry (LC–MS/MS) have enabled the quantification of immunosuppressive drugs in small sample volumes with adequate selectivity and sensitivity [16]. In this context, microsampling techniques have increasingly emerged as useful alternatives to venipuncture. These strategies refer to procedures for collecting small volumes of blood (usually <100 µL) in a non-invasive manner. Microsampling procedures allow home sampling by minimally trained persons (patients themselves or caregivers). Besides, most analytes present improved stabilities in microsampling devices versus frozen samples, which enables their shipment to the laboratory via standard post [[15], [17]]. It should be noted that while this action may be feasible in temperate climates with adequate mail services, in regions where the daily temperature rises above 40 °C, the temperature in the mailbox may reach values over 60 °C [18]; for that reason, temperature conditions need to be properly validated. In the field of therapeutic monitoring of immunosuppressants, dried blood spots (DBS) is the most used microsampling technique [19]. This method of sample collection consists of applying a drop of capillary blood onto a sampling paper. After drying and transportation, a sample disc is punched and analytes are extracted and analyzed. Nevertheless, DBS shows limitations that strongly affect the applicability of the analytical results. These include the volume of blood spotted, the chromatographic effect (homogeneity), and the hematocrit (Ht). The latter is undoubtedly the most widely discussed DBS-related problem [[19], [20], [21], [22], [23]]. The viscosity of blood is directly proportional to the Ht, which affects the flux and diffusion properties of the matrix on the paper. Moreover, a linear inverse relationship between DBS area and Ht has been well-established. Hence, partial punches taken from DBS prepared from blood with different Ht values will contain different amounts of blood and analytes [[20], [24]]. Considering that calcineurin and mTOR inhibitors are extensively bound to erythrocytes, this phenomenon is highly significant. One approach to avoid the Ht effect is the volumetric absorptive microsampling method (VAMS). This is a fixed volume sampling strategy used to obtain dried blood specimens via a porous hydrophilic tip attached to a plastic handle. Compared with DBS, VAMS allows accurate volume collection without beinginfluenced by the Ht [25]. Although this procedure has shown promising results, only a few studies have been performed to assess its feasibility as sampling strategy in therapeutic monitoring of immunosuppressive drugs [[26], [27], [28], [29], [30]]. The analysis of whole-cut DBS discs is a simple and practical way to overcome the Ht problem, because it guarantees the same physical blood spot size at each Ht level [31]. In this approach an accurate and precise volumetric application of the blood onto the filter paper is mandatory. This can be accomplished by using capillary tubes or micro-collection pipettes. Thus, the influence the spot volume and the chromatographic effects can be assumed as negligible [20]. When pre-cut paper discs are placed in a special support prior to the volumetric application of the matrix, the method is called “dried matrix on paper discs” (DMPD). This microsampling technique has been successfully applied for the quantification of nevirapine and acetaminophen in human samples and seems to be promising for therapeutic monitoring of calcineurin and mTOR inhibitors [[31], [32]]. However, an analytical method validation step is not sufficient to assure the quality of the results and implement the procedure as part of routine clinical practice. Therefore, a clinical validation study is necessary to demonstrate the interchangeability between the results obtained from DMPD and WB [33]. In a clinical validation study, paired DMPD and venous blood samples are obtained and analyzed. Then, the analytical results are compared and statistically evaluated to demonstrate the interchangeability between methodologies [33]. In a previous work, we fully validated a simple LC-MS/MS method for the simultaneous quantification of tacrolimus, sirolimus, everolimus and cyclosporin A in DMPD. We also showed that the Ht had no clinical impact on the analytical results [34]. The aim of this study is to clinically validate our method and assess its potential use for routine analysis.

Materials and methods

Clinical validation study

The study was designed, planned and performed according to the recommendations of the Clinical Laboratory Standards Institute (CLSI) Evaluation Protocol (EP) guidelines EP-09-A3, “Method Comparison and Bias Estimation Using Patient Samples” [35]. Briefly, at least 40 paired samples (WB and DMPD) for each analyte were collected and analyzed. Results were evaluated in terms of statistical agreement and bias values at medical decision points.

Patients and paired sample collection

Paired samples were collected from pediatric and adult transplant patients on single or multiple drug maintenance therapy during their routine clinical follow-ups at the Hospital Italiano de Buenos Aires. Specimens were collected from September through December of 2018. Both WB and DMPD samples were taken by trained phlebotomists. To obtain trough concentrations, collection was coordinated prior to dose administration (30–60 min). Fingerpick blood samples were collected within 10 min of the venous sample. The study was approved by the Institutional Review Board (IRB00010193). All participating patients or legal guardians gave their written consent after receiving information about the study.

Whole blood samples

K2EDTA was used as anticoagulant. Specimens were analyzed within a day as they were part of routine care.

DMPD samples

After warming of the hands, patients’ ring fingertip was disinfected using alcohol 70 % v/v and dried. Capillary samples were collected using Microtainer Contact-Rosa Lancets (Becton, Dickinson and Company, Franklin Lakes, NJ, USA). The first drop was discarded and 10 µL of the second drop were collected using a fixed-volume capillary micropipette (Rock Town Technologies & Services, Libertyville, IL, USA) and spotted in a 5-mm pre-punched Whatman 903TM paper disc (Sigma Aldrich, St. Louis, MO, USA) that was previously placed in a DMPD cartridge (Rock Town Technologies & Services, Libertyville, IL, USA). DMPD samples were left to dry for at least for 6 h at room temperature (24 °C), and then packed in zip lock plastic mini bags with a desiccant prior to analysis, as previously described [34]. All DMPD specimens were analyzed on the day of sample collection.

Analytical procedures

The reference procedure was the measurement of tacrolimus, sirolimus, everolimus and cyclosporin A in WB obtained by conventional venous sampling. The analysis of these samples was performed using the MassTrak Immunosuppressants XE Kit (Waters Corporation, Milford, MA, USA) on an Acquity UPLC Classic System, equipped with Acquity UPLC Binary Sample Manager, an Acquity UPLC Sample Manager and a column heater (Waters Corporation, Milford, MA, USA). The chromatographic system was coupled to a Xevo TQ MS triple quadrupole mass spectrometer (Waters Corporation, Milford, MA, USA) as previously described [34]. The quantification of calcineurin and mTOR inhibitors in DMPD was performed according to our previously validated method, using the previously referenced instrument [34]. Linear ranges were (1.1–30.8) ng/mL, (1.0–27.5) ng/mL, (1.0–33.4) ng/mL and (27.7–1483) ng/mL for tacrolimus, sirolimus, everolimus and cyclosporin A, respectively. Ascomycin was the internal standard for tacrolimus and sirolimus, [13C22H4]-everolimus for everolimus and [2H12]-cyclosporin for cyclosporin A. The ionization was operated in positive electrospray (ESI+) mode. The mass spectrometer parameters for the quantification of immunosuppressants in WB and DMPD were as follows: capillary voltage, 2.80 kV; cone voltage, 20 V; desolvation temperature, 550 °C; desolvation gas (N2), 800 L/h; cone gas (N2), 50 L/h; and collision gas (Ar), 0.15 mL/min. Multiple reaction monitoring (MRM) transitions for ammoniated adducts of each analyte and internal standard were the same as previously described [34]. The MassLynx™ software (Version 4.1, Waters Corporation, Milford, MA, USA) was used for instrument control, data acquisition and processing. A summary of the chromatographic conditions used in both WB and DMPD measurements is described in Table 1.
Table 1

Chromatographic conditions.

Time(min)Flow(mL/min)Mobile Phase A(%)Mobile Phase B(%)
0.00.45050
0.60.4050
1.20.450100
2.00.45050

Mobile phase A: 2 mmol/L ammonium acetate in water, 0.1 % formic acid.

Mobile phase B: 2 mmol/L ammonium acetate in methanol, 0.1 % formic acid.

Column: MassTrak™ TDM C18 column (2.1 × 10 mm 3.5 µm) (Waters Corporation, Milford, MA, USA).

Chromatographic conditions. Mobile phase A: 2 mmol/L ammonium acetate in water, 0.1 % formic acid. Mobile phase B: 2 mmol/L ammonium acetate in methanol, 0.1 % formic acid. Column: MassTrak™ TDM C18 column (2.1 × 10 mm 3.5 µm) (Waters Corporation, Milford, MA, USA). Ht of WB samples was measured using a UniCel DxH-800 analyzer (Beckman Coulter Inc.; Brea, CA, USA). This measurement was performed as part of each patients’ regular checkups as requested by their physicians and was not specifically performed for this work.

Statistical analysis

Statistical analysis was performed using the Analyse-it® software version 5.01 (Leeds, United Kingdom). First, the assessment of constant or proportional errors between WB and DMPD concentrations was performed by non-parametric Passing-Bablok regression analysis. Intercepts and slopes were estimated with their 95 % confidence intervals (CIs). Significant constant or proportional bias was considered when the CIs of intercept and slope did not include 0 and 1, respectively. In addition, the clinical significance between sampling methods was determined by evaluating the overall bias and its CI calculated from the regression equation at medical decision points (lower and higher values of each analytes therapeutic range established at pre-dose trough concentrations) [[10], [34], [36]]. Secondly, the global bias between methods for each analyte was assembled by a graphical concordance analysis using difference plots. The selection of the best bias estimator (median or average) was made assessing the normality of the differences between methodologies by a Shapiro-Wilks test. Then, the limits of agreement (LoA) were calculated. The equivalence between the methods was concluded when CIs for the bias estimator contained the value 0 and the LoA were included within a previously defined tolerable range of ±15.0 % [36]. This range was established by a multidisciplinary team from our hospital, according to the recommendations of the International Association of Therapeutic Drug Monitoring and Clinical Toxicology (IATDMCT) [33].

Results

Demographic characteristics

A total of 160 paired samples collected from 125 transplant patients (58 (46.4 %) females; 67 (53.6 %) males) were analyzed. Median age was 50.5 years (range: 15 to 85 years; median of samples per patient: 1, range: 1 to 5). In 43 samples (26.9 %), more than one drug was quantified. Regarding the types of patients, 14 (11.2 %) were inpatients and 111 (88.8 %) were outpatients. In this study 63 kidney (50.4 %), 32 liver (25.6 %), 14 reno-pancreas (11.2 %), 10 heart (8.0 %), 2 bone marrow (1.6 %), 2 liver-kidney (1.6 %), 1 heart–lung (0.8 %), 1 lung (0.8 %) transplant patients were included. The median Ht value for analyzed samples was 35.4 % (range: 16.6–58.1 %). Demographic characteristics for each immunosuppressive drug are summarized in Table 2.
Table 2

Demographic characteristics for tacrolimus, sirolimus, everolimus and cyclosporin A.

VariableImmunosuppressant
TacrolimusSirolimusEverolimusCyclosporin A
Number of samples89434243
Number of patients71302935
Sexn (%)
Female36 (50.7)14 (46.7)10 (34.5)18 (51.4)
Male35 (49.3)16 (53.3)19 (65.5)17 (48.6)
Age(years)(median; range)46 (15, 57)48 (17, 85)60 (23, 79)48 (19, 77)
Type of patientn (%)
Outpatients64 (90.1)25 (83.3)25 (86.2)31 (88.6)
Inpatients7 (9.9)5 (16.7)4 (13.8)4 (11.4)
Hematocrit (%)*(median; range)35.2 (20.3, 58.1)35.9 (20.3, 56.8)35.4 (16.6, 45.5)35.0 (16.6, 51.4)
Whole bloodconcentration range(ng/mL)(1.1, 14.7)(1.3, 16.5)(1.0, 16.6)(28.0, 384)
Type of transplantn (%)
Heart5 (7.1)0 (0.0)4 (13.8)1 (2.9)
Heart-lung1 (1.4)0 (0,0)0 (0,0)0 (0,0)
Liver14 (19.7)5 (16.1)11 (37.9)12 (34.3)
Liver-kidney1 (1.4)0 (0.0)1 (3.4)1 (2.9)
Bone marrow2 (2.8)0 (0.0)0 (0.0)0 (0.0)
Lung1 (1.4)0 (0.0)0 (0.0)0 (0.0)
Kidney38 (53.5)17 (56.7)12 (41.4)19 (54.3)
Reno-pancreas9 (12.7)8 (26.7)1 (3.4)2 (5.7)

Median and ranges for Ht values (%) per transplant type: heart: 35.0 (32.2, 42.8); heart–lung: 44.0; liver: 36.1 (26.8, 45.2); liver-kidney: 31.9 (30.3, 33.5); bone marrow: 35.4 (31.3, 39.5); lung: 27.7 (25.5, 30.1); kidney: 35.4 (16.6, 58.1); reno-pancreas: 38.2 (31.0, 56.8).

Demographic characteristics for tacrolimus, sirolimus, everolimus and cyclosporin A. Median and ranges for Ht values (%) per transplant type: heart: 35.0 (32.2, 42.8); heart–lung: 44.0; liver: 36.1 (26.8, 45.2); liver-kidney: 31.9 (30.3, 33.5); bone marrow: 35.4 (31.3, 39.5); lung: 27.7 (25.5, 30.1); kidney: 35.4 (16.6, 58.1); reno-pancreas: 38.2 (31.0, 56.8). A significant relationship between DMPD and venous WB was found by Passing-Bablok analysis. Determination coefficient (r2) values for all the studied drugs were greater than 0.990, and CIs for the slopes and intercepts included 1 and 0, respectively. Hence, no proportional or constant biases were detected (Fig. 1 and Table 3). In addition, bias values at medical decision points were all within the defined acceptance criteria (Table 3).
Fig. 1

Passing-Bablok regression lines for tacrolimus (A), sirolimus (B), everolimus (C) and cyclosporin A (D). Dotted lines are the identity lines and continuous lines are the regression lines.

Table 3

Results of the Passing-Bablok regression analysis.

Analyter2SlopeCImInterceptCIbMedical decision points(ng/mL)Calculated BIAS(ng/mL, (%))ICs(ng/mL)
Tacrolimus0.9950.980(0.957, 1.006)0.022(−0.100, 0.121)Lower: 5.0−0.08 (−1.56)(−0.15, 0.01)
Upper: 20.0−0.38 (−1.89)(−0.79, 0.00)
Sirolimus0.9960.970(0.9437, 1.002)0.112(−0.146, 0.285)Lower: 5.0−0.04 (−0.73)(−0.18, 0.10)
Upper: 15.0−0.33 (−2.22)(−0.66, 0.11)
Everolimus0.9951.000(0.956, 1.045)−0.100(−0.289, 0.141)Lower: 3.0−0.10 (−3.33)(−0.20, 0.10)
Upper: 8.0−0.10 (−1.25)(−0.30, 0.14)
Cyclosporin A0.9960.960(0.931, 1.012)3.120(−1.000, 5.581)Lower: 100−0.88 (−0.88)(−4.01, 2.00)
Uppler: 400−12.88 (−3.22)(–22.25, 4.09)
Passing-Bablok regression lines for tacrolimus (A), sirolimus (B), everolimus (C) and cyclosporin A (D). Dotted lines are the identity lines and continuous lines are the regression lines. Results of the Passing-Bablok regression analysis. For all immunosuppressants, the variability of the differences between DMPD and WB changed with increasing concentrations (data not shown). For that reason, the percent difference between measurement procedures was plotted on the y-axis in the difference plots (Fig. 2). Lack of normality for the differences was found via the Shapiro-Wilks test for tacrolimus and sirolimus (p values obtained were 0.048 and 0.011, respectively). Thus, the median value was selected as the bias estimator for these two analytes and the limits of agreement were calculated using a non-parametric method, considering both 2.5 and 97.5 percentiles. Regarding everolimus and cyclosporin A, the differences were found to be normal using the same statistical test (p values obtained were 0.9261 and 0.0897). As a consequence, the mean value was selected as the bias estimator and the limits of agreements were calculated as the mean of the relative differences ±1.96 standard deviations.
Fig. 2

Difference plots for tacrolimus (A), sirolimus (B), everolimus (C) and cyclosporin A (D). Mean or median bias values for each analyte are presented as a solid black line. Dotted grey lines represent lower and upper limits of agreement. Dotted light grey lines are lower and upper limits of clinical relevance, set at ± 15.0 %. Obtained values were as follows: (A): median bias: −1.39 %, CI: (−3.13, 0.00)%, LoA (−9.40, 9.30)%; (B): median bias: −1.01 %, CI: (−3.45, 3.51)%, LoA (−9.80 7.64)%; (C): mean bias: −1.48 %, CI: (−3.43, 0.46)%, LoA (−13.70, 10.74)%; (D): mean bias: −0.63 %, CI: (−2.33, 1.07)%, LoA (−11.45, 10.20)%.

Difference plots for tacrolimus (A), sirolimus (B), everolimus (C) and cyclosporin A (D). Mean or median bias values for each analyte are presented as a solid black line. Dotted grey lines represent lower and upper limits of agreement. Dotted light grey lines are lower and upper limits of clinical relevance, set at ± 15.0 %. Obtained values were as follows: (A): median bias: −1.39 %, CI: (−3.13, 0.00)%, LoA (−9.40, 9.30)%; (B): median bias: −1.01 %, CI: (−3.45, 3.51)%, LoA (−9.80 7.64)%; (C): mean bias: −1.48 %, CI: (−3.43, 0.46)%, LoA (−13.70, 10.74)%; (D): mean bias: −0.63 %, CI: (−2.33, 1.07)%, LoA (−11.45, 10.20)%. In all the cases, more than 95.0 % of the results fell within the limits of agreement (96.6, 97.7, 96.4 and 100 % for tacrolimus, sirolimus, everolimus, and cyclosporin A, respectively). Results outside these limits were included in the previously defined tolerable range of ±15.0 %. As plotted in Fig. 2, neither of the studied drugs showed significant bias between methodologies because the 95 % confidence intervals for the means or medians contained the value 0. In addition, the limits of agreement were tighter than the previously selected tolerable range. Finally, confidence intervals for bias at medical decision points for each analyte included zero. Thus, it can be stated with 95 % certainty that the measurement error was not clinically relevant and dosage change was not advised.

Discussion

Clinical validation is concerned with patients receiving the right medical treatment based on laboratory test results. This procedure is intended to take a method that has undergone the bioanalytical validation step and evaluate whether it can be used for a specific clinical purpose before its implementation in the laboratory routine [[36], [37]]. For this reason, the equivalence between DMPD-based results and those obtained in WB should be demonstrated by a method comparison procedure [33]. In this work, we assessed the feasibility of DMPD for therapeutic monitoring of four immunosuppressive drugs. One of the most important points that must be considered when planning and performing a comparison between two methods is the number of paired samples to be included. In this regard, both the IATDMCT and the CLSI guidelines recommend that at least 40 specimens should be analyzed. In addition, the range of values should ideally span the entire analytical measurement range [[33], [36], [38]]. The first requirement was well accomplished in this work (89, 43, 42 and 43 paired samples were analyzed for tacrolimus, sirolimus, everolimus and cyclosporin A, respectively). Nevertheless, any analyte completely covered the measurement range, especially at high concentration values. These results were comparable to those obtained in other published clinical validation studies on DBS [[26], [39], [40], [41], [42], [43], [44], [45]] and VAMS [[26], [27], [28], [29]] In our opinion, this could be attributed to the fact that all patients were under maintenance therapies, most of them were outpatients and all samples were taken prior to dose administration (C0) (Table 2). Passing-Bablok regression analysis revealed the absence of statistically significant constant or proportional errors between DMPD and WB concentration for each analyte. In all cases, confidence intervals for intercepts and slopes contained the values 0 and 1, respectively. In addition, a strong linear relationship between DMPD and WB concentrations was obtained for all immunosuppressive drugs (Table 3). These results were similar to other previously published works on DBS [[26], [41], [43], [44], [45]] and VAMS [[26], [27], [28], [29]]. The regression line for each analyte was used to estimate the bias value at medical decision points, which was a distinctive feature of our study. Medical decision points are concentrations commonly used as thresholds for making clinical statements [36]. In the field of therapeutic drug monitoring, lower and the higher values of therapeutic ranges are used as clinical decision limits [[46], [47]]. In this work, the CIs for bias at each medical decision point included 0. Hence, it was stated with 95 % certainty that the measurement error was not clinically relevant (Table 3). The assessment of clinical significance at medical decision points is generally not informed in most clinical validation studies [[26], [27], [28], [39], [40], [42], [43], [44], [45]]. At present, only one work performed on WB and DBS samples from allogeneic stem cell transplant patients has published bias and CIs values for cyclosporin A [41]. At five medical decision points (60, 140, 225, 300 and 60 ng/mL), CIs included 0 and, consequently, no clinically relevant error was reported. Difference plots and concordance analysis were used to evaluate whether the global bias between DMPD and WB met the acceptance criteria for interchangeability. In this regard, the 95 % confidence interval for the bias estimator of each analyte should contain the value 0 and the limits of agreement should be included within a previously defined allowable bias range [36]. According to IATDMCT, it should be defined by a multidisciplinary team of experts in each health center on the basis of clinical and analytical characteristics [36]. In this work, the acceptable bias range was established at ±15.0 %, which was similar to other previously published studies [[26], [44]]. Values outside this range would lead to different dosing advice. For all analytes, lower concentrations in DMPD compared with WB were measured (−1.39, −1.01, −1.48 and −0.63 % for tacrolimus, sirolimus, everolimus and cyclosporin A, respectively) (Fig. 2). These results were reasonable considering the bias assessment on medical decision points (Table 3), and comparable to other previously published works on DBS [[40], [41], [42], [44]] and VAMS [28]. Blood from skin puncture is a mixture of blood from arterioles, veins and capillaries and contains some interstitial and intracellular fluids [48]. Although during the sample collection procedure the first drop of capillary blood was discarded, it is possible that interstitial and intracellular fluids residuals resulted in a slight sample dilution that could be detected because of the high sensitivity of the instrument. In our previous work, we proved that the recovery of the analytical method was near 100 % for all the analytes [34]. For that reason, lower concentrations in DMPD were not attributed to recovery issues. Nevertheless, as the CIs for the bias estimator of each analyte contained the value 0 and the limits of agreement were tighter than ±15.0 %, it was concluded that both sampling methods were interchangeable. Therapeutic ranges for immunosuppressants depend on several factors, including therapeutic approaches, the moment of sample collection and the transplant type. These aspects should be carefully considered before the formulation of analytical goals and the implementation of the method in the clinical laboratory [[49], [50]]. The Hospital Italiano de Buenos Aires is one of the largest transplant centers for pediatric and adult patients in Latin America. Hence, quantification of calcineurin and mTOR inhibitors in blood samples collected from different transplant patient types is performed as part of the laboratory routine. C0 levels are regularly requested by physicians, because C2 and abbreviated AUC monitoring are not feasible for clinical practice. For this reason, in and out transplant patients from different age ranges on single or multiple drug maintenance therapy were selected in this study. In addition, a wide range of Ht values were included (Table 2). These values were comparable to others previously reported in clinical validation studies on VAMS [28] and DBS [[28], [42], [45]] in which various types of transplant patients were also selected. In our work, results were reliable and met the clinical needs for different transplant type patients, proving their potential applicability to routine care. According to the IATDMCT, if a method of sample collection was designed for home sampling, patients should ideally perform the finger-prick themselves [33]. In this regard, this might be a limitation of our work. In most clinical validation studies, collection by trained personnel is the selected strategy. Thus, the variability due to inexperienced sampling by patients can be avoided [[26], [39], [40], [41], [42], [44], [45]]. In our study, this approach was selected because resources were limited and blood collection at patients' homes was not considered. Nevertheless, the next step is to perform a clinical validation study to assess the interchangeability between DMPD self- and trained personnel-sampling. In addition, patient satisfaction will be evaluated. This second study will be essential to assess the possibility of remote self-sampling and help patients to be more autonomous. At the present time, we have demonstrated that DMPD specimens collected by skilled technicians are suitable for therapeutic drug monitoring of calcineurin and mTOR inhibitors.

Conclusion

We have demonstrated the feasibility of the clinical application of simultaneous quantification of tacrolimus, sirolimus, everolimus and cyclosporin A in DMPD. Our results show that this microsampling technique is interchangeable with traditional WB sampling when specimens are collected by trained personnel. For this reason, implementation of DMPD immunosuppressant monitoring in clinical routine could be a helpful tool to attain target trough levels, reduce patient burden and decrease cost for patients and medical providers.

Declaration of Competing Interests

The authors declare that they have no known competing financial interests or personal relationships that could affect the work described in this article.
  42 in total

1.  The effect of hematocrit on assay bias when using DBS samples for the quantitative bioanalysis of drugs.

Authors:  Philip Denniff; Neil Spooner
Journal:  Bioanalysis       Date:  2010-08       Impact factor: 2.681

Review 2.  Preanalytical considerations in therapeutic drug monitoring of immunosuppressants with dried blood spots.

Authors:  Adrian Klak; Steven Pauwels; Pieter Vermeersch
Journal:  Diagnosis (Berl)       Date:  2019-03-26

Review 3.  Assuring the Proper Analytical Performance of Measurement Procedures for Immunosuppressive Drug Concentrations in Clinical Practice: Recommendations of the International Association of Therapeutic Drug Monitoring and Clinical Toxicology Immunosuppressive Drug Scientific Committee.

Authors:  Christoph Seger; Maria Shipkova; Uwe Christians; Elaine M Billaud; Ping Wang; David W Holt; Mercè Brunet; Paweł K Kunicki; Thomasz Pawiński; Loralie J Langman; Pierre Marquet; Michael Oellerich; Eberhard Wieland; Pierre Wallemacq
Journal:  Ther Drug Monit       Date:  2016-04       Impact factor: 3.681

4.  Volumetric Microsampling of Capillary Blood Spot vs Whole Blood Sampling for Therapeutic Drug Monitoring of Tacrolimus and Cyclosporin A: Accuracy and Patient Satisfaction.

Authors:  Michael M Mbughuni; Maria A Stevens; Loralie J Langman; Yogish C Kudva; William Sanchez; Patrick G Dean; Paul J Jannetto
Journal:  J Appl Lab Med       Date:  2020-05-01

5.  Clinical Validation of Simultaneous Analysis of Tacrolimus, Cyclosporine A, and Creatinine in Dried Blood Spots in Kidney Transplant Patients.

Authors:  Herman Veenhof; Remco A Koster; Jan-Willem C Alffenaar; Stefan P Berger; Stephan J L Bakker; Daan J Touw
Journal:  Transplantation       Date:  2017-07       Impact factor: 4.939

6.  Comparison of conventional dried blood spots and volumetric absorptive microsampling for tacrolimus and mycophenolic acid determination.

Authors:  Lucía Paniagua-González; Elena Lendoiro; Esteban Otero-Antón; Manuel López-Rivadulla; Ana de-Castro-Ríos; Angelines Cruz
Journal:  J Pharm Biomed Anal       Date:  2021-10-26       Impact factor: 3.935

7.  Therapeutic drug monitoring of ciclosporin A and tacrolimus in heart lung transplant patients using dried blood spots.

Authors:  Edward Hinchliffe; Joanne Adaway; James Fildes; Anna Rowan; Brian G Keevil
Journal:  Ann Clin Biochem       Date:  2013-08-12       Impact factor: 2.057

Review 8.  Therapeutic drug monitoring by dried blood spot: progress to date and future directions.

Authors:  Abraham J Wilhelm; Jeroen C G den Burger; Eleonora L Swart
Journal:  Clin Pharmacokinet       Date:  2014-11       Impact factor: 6.447

9.  Tacrolimus Can Be Reliably Measured With Volumetric Absorptive Capillary Microsampling Throughout the Dose Interval in Renal Transplant Recipients.

Authors:  Nils T Vethe; Marte T Gustavsen; Karsten Midtvedt; May E Lauritsen; Anders M Andersen; Anders Åsberg; Stein Bergan
Journal:  Ther Drug Monit       Date:  2019-10       Impact factor: 3.681

Review 10.  Verification, analytical validation, and clinical validation (V3): the foundation of determining fit-for-purpose for Biometric Monitoring Technologies (BioMeTs).

Authors:  Jennifer C Goldsack; Andrea Coravos; Jessie P Bakker; Brinnae Bent; Ariel V Dowling; Cheryl Fitzer-Attas; Alan Godfrey; Job G Godino; Ninad Gujar; Elena Izmailova; Christine Manta; Barry Peterson; Benjamin Vandendriessche; William A Wood; Ke Will Wang; Jessilyn Dunn
Journal:  NPJ Digit Med       Date:  2020-04-14
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