Toxicology and Forensic Medicine

Open journal

ISSN 2474-8978

Fingerstick Plasma Drug Testing of Chronic Pain Patients: Comparison of Paired Fingerstick Plasma and Urine Specimens

MP George*, Roza George and Jessica Almonds

MP George, MS

Chief Executive Officer, Firstox Laboratories, Irving, Texas 75063, USA; E-mail: m.p.george@firstox.com

INTRODUCTION

Opiates, opioids, and other pain medications are widely prescribed for acute and chronic pain. Physicians try to minimize the risk of misuse, diversion, and addition. While clinical observations and patient’s self-report are valuable clinical tools, toxicology tests provide objective diagnostic data for the recent use of prescribed and illicit drugs.1 Urine drug testing is predominantly used to access the use and misuse of the prescribed drugs and the use of illicit drugs.2 Oral fluid has been proven to be another biological metric in pain management drug monitoring.3,4  Blood specimens are used by medical examiners to determine the cause of drug-related overdose death and the concentration of drug(s) and its metabolites provide the relevant information on therapeutic and toxic levels.5 Serum and plasma have been used for the last fifty years to monitor the therapeutic level for anticonvulsants, antidepressants, cardiac and other prescription drugs. The committee on the “Laboratory Medicine Practice Guideline” for pain management drug monitoring recommended urine as the gold standard for prescription and illicit drug monitoring. However, the same journal6 called for further research in using serum or plasma to monitor pain management drugs since pharmacokinetic (PK) studies on the opiates, opioids, and benzodiazepines are documented with serum or plasma.

Blood collection from the vein is an invasive collection protocol, requiring many pain clinics to staff a phlebotomist. Fingerstick blood has been used for monitoring drug levels.7 Fingerstick blood collection is minimally invasive, and it is an observed collection. As a result, fingerstick blood collection eliminates the specimen adulteration concern with urine specimens.

This study compared plasma from fingerstick blood tests to the urine drug tests on patients undergoing chronic pain treatment and patients utilizing medication-assisted opioid treatment. The specimens were analyzed for 35 drugs and/or metabolites by highly sensitive liquid chromatography-tandem mass spectrometry (LC-MS-MS) procedures.

MATERIALS AND METHODS

Patient and Specimen Collection

The study collected 634 paired fingerstick blood and urine specimens from patients from three pain clinics in three different states (TX, OH, MA of USA), and one suboxone clinic (WV) during the period of March 2017 to November 2017. The patients signed an informed consent form and agreed to participate in the study. Institutional review board approval was obtained from Western IRB (WIRB20180276).

Two to three drops of fingerstick blood was collected in an FDA 510K cleared microtube with heparin as an anticoagulant. Subsequently, a urine specimen was collected within 30 min of the fingerstick blood collection. Both fingerstick blood and the urine specimens were shipped to Firstox laboratories (Irving, Texas, USA).

Laboratory Analysis

Fingerstick blood specimens were centrifuged to separate the plasma and 10 ul of plasma was used for the analysis. Deuterium labeled internal standards were added to the specimen. Drugs and metabolites were extracted using solid-phase extraction followed by protein precipitation using cold acetonitrile. The extract was placed in an evaporator for 20 to 30-minutes at 45 °C to remove the solvent. The residue was dissolved in the mobile phase and 20 ul of the extract was injected into the LC-MS-MS.

Urine was diluted to 1 to 50 ul for analysis. Deuterated internal standards were used for qualification. Ten (10) ul of the extract was injected to the LC-MS-MS.

LC-MS-MS analyses were performed with Sciex 6500 Plus and two Agilent 1290 Infinity pumps. The mobile phase was 0.1% formic acid in water and 0.1% formic acid in methanol. The High-performance liquid chromatography (HPLC) column was Agilent phenyl-hexane 4.6×50 mm.

Data Analyses

Cohen’s Kapa values were calculated for each drug and metabolites (Table 1). Cohen’s Kappa value is interpreted according to Landis and Koch as follows: less than 0 as poor, 0.00 to 0.2 as slight, 0.21-0.40 as fair, 0.41-0.60 as moderate, 0.61-0.80 as substantial, and 0.81-1.00 as an almost perfect agreement. In addition, mean, standard error of the mean (SEM), median, and lowest concentrations and highest concentrations for each drug and metabolites were tabulated Table 2.8,9,10

 

Table 1. Expanded Agreement Chart
Analyte Serum and Urine Negative Serum and Urine Positive Serum Only Positive Urine Only Positive Observed Proportionate Agreement (p0) Probability of

Random

Agreement (pe)

Cohen’s Kappa (K) Strength of Agreement
Oxycodone 462 159 10 1 0.98 0.61 0.95 “Almost Perfect”
Hydrocodone 570 56 5 1 0.99 0.83 0.94 “Almost Perfect”
Fentanyl 598 32 1 1 1.00 0.90 0.97 “Almost Perfect”
Tramadol 607 23 2 0 1.00 0.93 0.96 “Almost Perfect”
Methadone 624 8 0 0 1.00 0.98 1.00 “Almost Perfect”
Buprenorphine 261 371 0 0 1.00 0.52 1.00 “Almost Perfect”
Naloxone 277 338 9 8 0.97 0.50 0.95 “Almost Perfect”
Morphine 573 56 3 0 1.00 0.83 0.97 “Almost Perfect”
Hydromorphone 550 72 3 7 0.98 0.79 0.93 “Almost Perfect”
Codeine 624 6 1 1 1.00 0.98 0.86 “Almost Perfect”
Diazepam 575 54 3 0 1.00 0.84 0.97 “Almost Perfect”
Clonazepam 580 47 3 2 0.99 0.86 0.95 “Almost Perfect”
Alprazolam 590 40 1 1 1.00 0.88 0.97 “Almost Perfect”
Lorazepam 613 19 0 0 1.00 0.94 1.00 “Almost Perfect”
Amphetamine 529 83 17 3 0.97 0.75 0.87 “Almost Perfect”
Methamphetamine 582 42 8 0 0.99 0.86 0.91 “Almost Perfect”
Benzoylecgonine 604 14 14 0 0.98 0.94 0.66 “Substantial”
Gabapentin 330 295 2 5 0.99 0.50 0.98 “Almost Perfect”
Pregabalin 586 43 3 0 1.00 0.87 0.96 “Almost Perfect”
Carisoprodol 628 4 0 0 1.00 0.99 1.00 “Almost Perfect”
Tapentadol 628 4 0 0 1.00 0.99 1.00 “Almost Perfect”
Ketamine 628 4 0 0 1.00 0.99 1.00 “Almost Perfect”
Overall 11836 1771 88 33 0.99 0.77 0.96 “Almost Perfect”

 

 

Table 2. Summary of Drug and Metabolite Concentrations in Plasma and Urine Specimens
Serum Urine
Analyte N Mean±SEM (ng/mL) Minimum (ng/mL) Maximum (ng/mL) N

Mean±SEM

(ng/mL)

Median (ng/mL) Minimum (ng/mL) Maximum (ng/mL)
Oxycodone 165 42.17±6.91 0.18 661.70 151 2092.73±188.09 1378.50 1.10 10373.50
Noroxycodone 164 31.79±2.79 0.22 268.70 158 4499.66±436.89 2180.40 12.10 29295.40
Oxymorphone 167 19.42±2.96 0.03 355.00 157 1357.47±154.92 619.20 1.20 12871.20
Hydrocodone 61 45.45±13.91 1.12 774.00 57 1214.46±166.54 706.05 1.30 4659.10
Norhydrocodone 61 9.28±1.46 0.40 77.70 56 1642.99±266.35 1046.60 11.60 9760.00
Fentanyl 33 17.57±9.19 0.10 255.70 33 48.55±13.41 24.90 1.60 353.80
Norfentanyl 31 1.28±0.48 0.02 13.70 34 296.16±90.85 131.00 2.00 2977.40
Tramadol 25 252.15±86.93 9.00 2160.00 23 8950.96±2335.73 5000.00 2.20 42819.60
O-Desmethyltramadol 25 165.99±78.66 0.53 1972.00 21 10012.65±2819.15 4226.90 33.40 46723.50
Methadone 8 96.73±26.19 6.00 242.40 8 1441.56±310.16 1054.90 181.00 2956.60
EDDP 8 18.11±5.93 2.10 46.60 8 3250.71±1347.12 1956.35 129.00 12692.20
Buprenorphine 369 14.69±3.25 0.10 971.00 369 317.56±27.06 166.05 2.10 6705.30
Norbuprenorphine 369 8.80±0.53 0.04 137.80 370 1014.23±407.08 383.00 3.00 146139.30
Naloxone 347 8.76±1.28 0.02 223.60 346 438.12±32.32 284.30 1.30 7373.90
Morphine 59 266.05±41.57 0.10 1953.10 56 13035.63±2249.51 8137.20 3.80 93875.80
Hydromorphone 80 16.91±4.81 0.03 342.10 79 1266.06±262.78 287.70 3.00 14630.50
Codeine 7 150.12±73.22 0.23 597.90 7 13341.09±6128.58 5317.00 88.20 43464.00
Diazepam 54 288.70±63.75 0.17 2547.90
Nordiazepam 58 384.55±69.80 0.03 2587.60 53 775.59±185.24 172.10 1.70 5000.00
Oxazepam 56 55.28±12.77 0.20 444.70 57 1362.69±257.81 433.00 5.00 8971.40
Temazepam 53 92.73±20.23 0.10 740.00 51 1171.03±231.31 434.00 1.10 8395.00
Clonazepam 47 11.22±1.24 0.77 44.30
7-Aminoclonazepam 50 15.96±1.75 1.09 60.80 49 374.43±62.72 271.90 32.70 2307.90
Alprazolam 39 26.54±5.09 0.58 149.30
Alpha-Hydroxyalprazolam 32 3.06±0.63 0.10 19.00 41 350.83±72.42 179.80 1.60 2102.30
Lorazepam 19 47.63±11.40 1.90 177.20 19 748.12±244.64 490.70 17.20 4966.20
Amphetamine 100 80.60±17.96 0.71 1538.70 86 6013.54±951.91 2150.55 15.20 44126.20
Methamphetamine 50 352.09±138.43 2.40 6395.70 42 9996.97±3337.52 817.80 5.50 99112.10
Benzoylecgonine 28 73.85±21.79 2.40 563.20 14 21668.63±9862.92 8506.45 0.60 142434.80
Gabapentin 297 1357.14±78.76 1.29 13712.00 300 43418.92±3871.90 10152.00 9.20 533675.20
Pregabalin 46 2419.56±366.37 2.50 10790.00 43 68364.87±9744.12 57794.80 33.60 280906.20
Carisoprodol 4 1079.26±472.11 3.73 2140.20 3 591.93±223.62 775.60 53.20 947.00
Meprobamate 3 3215.00±258.18 2610.00 3677.00 3 27443.9±11443.46 14684.00 12209.60 55438.10
Tapentadol 4 374.98±120.36 114.90 668.50 4 17749.40±11041.31 5000.00 5000.00 55997.60
N-desmethyltapentadol 4 119.35±66.58 11.20 340.40 4 3985.23±1189.89 3639.30 1292.10 7370.20
Ketamine 4 152.40±74.29 108.95 8.70 383.00
Norketamine 4 15.93±4.09 2.50 24.30 4 95.45±14.05 83.20 72.00 143.40
Butalbital 12 921.98±222.48 61.10 2787.70 6 1061.15±413.15 683.50 239.40 3256.70

  

RESULTS

Agreement Between Plasma and Urine

Comparison of LC-MS/MS results for fingerstick plasma with those of the corresponding urine specimen is shown in Table 3. Cutoff values showing the limit of quantitation used for the Cohen’s Kapa calculations are shown in Table 4. Benzoylecgonine, a cocaine metabolite, was observed more frequently in plasma versus urine at the established cutoff values. The cutoff for benzoylecgonine was 50 ng/ml in urine and 2 ng/ml in plasma. More frequent positive results were observed in plasma specimens for methamphetamine with the limit of quantitation (LOQ) of 50 ng/ml in urine and 2 ng/ml in plasma. Few specimen pairs had a positive result in urine specimen without any detection in the corresponding plasma specimen (Table 5). Examining these results, it was observed that six pairs were gabapentin positive with a very low urine concentration around 50 to 100 ng/ml, and eight pairs were naloxone positive at very low concentrations in urine. In seven specimens, hydromorphone was detected in urine as a metabolite of hydrocodone or morphine, and the corresponding plasma specimens did not detect any hydromorphone. Clinically, none of the hydromorphone positives in which hydromorphone was detected as a metabolite of morphine or hydrocodone were signification for patient compliance with the drug. Overall, the agreement with a Cohen’s Kappa value of 0.96 between fingerstick plasma specimens and the urine specimens is an excellent agreement.

 

Table 3. Agreement Between Plasma and Urine Drug Detection by Individual Metabolite
Analyte Total Positives Serum Only Positive Urine Only Positive Serum and Urine Positive
Oxycodone 168 17 10.1% 3 1.8% 148 88.1%
Noroxycodone 167 9 5.4% 3 1.8% 155 92.8%
Oxymorphone 169 12 7.1% 2 1.2% 155 91.7%
Hydrocodone 62 5 8.1% 1 1.6% 56 90.3%
Norhydrocodone 61 5 8.2% 0 0.0% 56 91.8%
Fentanyl 34 1 2.9% 1 2.9% 32 94.1%
Norfentanyl 34 0 0.0% 3 8.8% 31 91.2%
Tramadol 25 2 8.0% 0 0.0% 23 92.0%
O-Desmethyltramadol 25 4 16.0% 0 0.0% 21 84.0%
Methadone 8 0 0.0% 0 0.0% 8 100.0%
EDDP 8 0 0.0% 0 0.0% 8 100.0%
Buprenorphine 370 1 0.3% 1 0.3% 368 99.5%
Norbuprenorphine 371 1 0.3% 2 0.5% 368 99.2%
Naloxone 355 9 2.5% 8 2.3% 338 95.2%
Morphine 59 3 5.1% 0 0.0% 56 94.9%
Hydromorphone 87 8 9.2% 7 8.0% 72 82.8%
Codeine 8 1 12.5% 1 12.5% 6 75.0%
Nordiazepam 58 5 8.6% 0 0.0% 53 91.4%
Oxazepam 58 1 1.7% 2 3.4% 55 94.8%
Temazepam 55 4 7.3% 2 3.6% 49 89.1%
Clonazepam^ 52 3 5.8% 2 3.8% 47 90.4%
7-Aminoclonazepam
Alprazolam^ 42 1 2.4% 1 2.4% 40 95.2%
Alpha-Hydroxyalprazolam
Lorazepam 19 0 0.0% 0 0.0% 19 100.0%
Amphetamine 103 17 16.5% 3 2.9% 83 80.6%
Methamphetamine 50 8 16.0% 0 0.0% 42 84.0%
Benzoylecgonine 28 14 50.0% 0 0.0% 14 50.0%
Gabapentin 302 2 0.7% 5 1.7% 295 97.7%
Pregabalin 46 3 6.5% 0 0.0% 43 93.5%
Carisoprodol 4 1 25.0% 0 0.0% 3 75.0%
Meprobamate 3 0 0.0% 0 0.0% 3 100.0%
Tapentadol 4 0 0.0% 0 0.0% 4 100.0%
N-desmethyltapentadol 4 0 0.0% 0 0.0% 4 100.0%
Norketamine 4 0 0.0% 0 0.0% 4 100.0%
^For Clonazepam and Alprazolam, the specimen was considered positive in plasma if either parent drug or metabolite was positive.

 

Table 4. LOQ for Drugs/Metabolites in Plasma and Urine
Drug/Metabolite Serum          

LC-MS/MS  

LOQ (ng/mL)

Urine

LC-MS/MS LOQ (ng/mL)

Drug/Metabolite

Serum

LC-MS/MS LOQ (ng/mL)

Urine

LC-MS/MS LOQ (ng/mL)

Oxycodone 2 50 Diazepam 2 N/A
Noroxycodone 2 50 Nordiazepam 2 50
Oxymorphone 2 50 Oxazepam 2 50
Hydrocodone 2 50 Temazepam 2 50
Norhydrocodone 2 50 Clonazepam 2 N/A
Fentanyl 0.1 2.5 7-Aminoclonazepam 2 50
Norfentanyl 0.2 2.5 Alprazolam 2 N/A
Tramadol 2 50 Alpha-Hydroxyalprazolam 2 50
O-Desmethyltramadol 2 50 Amphetamine 2 50
Methadone 2 50 Methamphetamine 2 50
EDDP 2 50 Benzoylecgonine 2 50
Buprenorphine 0.1 2.5 Gabapentin 50 100
Norbuprenorphine 0.2 2.5 Pregabalin 5 50
Naloxone 0.2 2.5 Carisoprodol 5 50
Morphine 2 50 Meprobamate 5 50
Hydromorphone 2 50 Tapentadol 2 50
Codeine 2 50 N-desmethyltapentadol 2 50
Lorazepam 2 50 Norketamine 2 50

 

Table 5. Summary of Plasma and Urine Agreement
Total Number of Specimen Pairs 632
Specimen Pairs with Plasma/Urine Positive Agreement 553 89.1%
Specimen Pairs with Plasma Only Positives 55 8.7%
Specimen Pairs with Urine Only Positives 14 2.2%
*Note: Drug/Metabolite combinations were considered one drug. Individual metabolites were not counted as multiple positives. For example: Oxycodone, Oxymorphone, and Noroxycodone were considered one drug.

 

DISCUSSION

Fingerstick plasma specimens were evaluated to be used as an alternative to urine for compliance monitoring of pain patients’ prescription and illicit drug use. LC-MS/MS was used to analyze both fingerstick plasma and urine. Typically, pain testing toxicology labs screen urine by immunoassay and confirm by LC-MS/MS. This work compared both fingerstick plasma and urine specimens using the same high sensitivity LC-MS/MS methods. As a result, this protocol eliminated false-negative results in urine due to the high immunoassay cutoff and low cross-reactivity with some opiates, opioids, and benzodiazepines.11

Adulteration and substitution are great concerns with urine drug testing.12 Fingerstick blood collection is directly observedand eliminates adulteration and substitution. Pharmacokinetic studies for all prescription drugs have been submitted for Food and Drug Administration (FDA) approval, and the drug concentrations are documented in serum or plasma. In addition, all the pain management drugs have established therapeutic and toxic levels in published literature. Furthermore, serum or plasma has established steady-state levels while there is no reliable relationship between urine drug concentration and dose of drug that was ingested or administered.1 Therefore, the concentrations of drugs in plasma have much more pharmacological meaning than the drug concentrations in urine. Drugs like gabapentin and pregabalin are detected in very high concentrations for the prescription doses. Typical toxicology labs report the concentration as greater than 10000 ng/ml, which does not provide any information beyond a qualitative result. The fingerstick plasma result report provides therapeutic and toxic ranges for the prescribed drugs.13

It has been reported that many pain management physicians were charged and convicted if a pain patient died. Documentation of the blood concentrations reduces the physician’s liability in case of adverse events with the patients.14

CONCLUSION

Fingerstick plasma drug testing provides a clinically effective way to monitor patients currently prescribed pain medications or undergoing medication-assisted opioid treatment for both prescription and illicit substances. Compared to UDT, fingerstick plasma drug testing produces nearly identical positive results, and can detect lower concentrations of drugs, providing physicians with a reliable means of medication monitoring and detection of illicit substances.

CONFLICTS OF INTEREST

The authors declare that they have no conflicts of interest.

1. Heit HA. Addiction, physical dependence, and tolerance: Precise definitions to help clinicians evaluate and treat chronic pain patients. J Pain Palliat Care Pharmacother. 2003; 17(1): 15-29. doi: 10.1080/j354v17n01_03

2. AACC Academy. Laboratory Medicine Practice Guidelines. aacc.org Web site. https://www.aacc.org/science-and-practice/practice-guidelines. Accessed , 2020.

3. Heltsley R, DePriest A, Black DL, Robert T, Marshall L, Meadows VM, et al. Oral fluid drug testing of chronic pain patients. I. positive prevalence rates of licit and illicit drugs. J Anal Toxicol. 2011; 35: 529-540. doi: 10.1093/anatox/35.8.529

4. Verstraete AG. Detection times of drugs of abuse in blood, urine, and oral fluid. Ther Drug Monit. 2004; 26: 200-205. doi: 10.1097/00007691-200404000-00020

5. Olson KN, Luckenbill K, Thompson J, Middleton O, Geiselhart R, Mills KM, et al. Postmortem redistribution of fentanyl in blood. Am J Clin Pathol. 2010; 133(3): 447-453. doi: 10.1309/AJCP4X5VHFSOERFT

6. Wu AHB. AACC Academy’s Pain Management LMPG: Verification of drug dosing with quantitative urine drug testing? The Journal of Applied Laboratory Medicine. 2018; 2(4): 475-477. doi: 10.1373/jalm.2017.025361

7. Rowland M, Emmons GT. Use of dried blood spots in drug development: pharmokinetic considerations. AAPS J. 2010; 12(3): 290-293. doi: 10.1208/s12248-010-9188-y

8. Poklis A, Backer R. Urine concentrations of fentanyl and norfentanyl during application of duragesic transdermal patches. J Anal Toxicol. 2004; 28: 422-425. doi: 10.1093/jat/28.6.422

9. Couto JE, Webster L, Romney MC, Leider HL, Linden A. Use of an algorithm applied to urine drug screening to assess adherence to a hydrocodone regimen. J Clin Pharm Thera. 2011; 36: 200-207. doi: 10.1111/j.1365-2710.2010.01236.x

10. Elder NM, Atayee RS, Best BM, Ma JD. Observations of urinary oxycodone and metabolite distributions in pain patients. J Anal Toxicol. 2014; 38: 129-134. doi: 10.1093/jat/bku007

11. Melanson SEF, Ptolemy AS, Wasan AD. Optimizing urine drug testing for monitoring medication compliance in pain management. Pain Medicine. 2013; 14(12): 1813-1820. doi: 10.1111/pme.12207

12. Mahajan G. Role of urine drug testing in the current opioid epidemic. Anesth A bvnalg. 2017; 125: 2094-2104. doi: 10.1213/ANE.0000000000002565

13. Regenthal R, Krueger M, Koeppel C, Preiss R. Drug levels: Therapeutic and toxic serum/plasma concentrations of common drugs. J Clin Monit Comput. 1999; 15: 529-544. doi: 10.1023/a:1009935116877

14. Rich BA, Webster LR. A review of forensic implications of opioid prescribing with examples from malpractice cases involving opioid-related overdose. Pain Medicine. 2011; 12(suppl_2): S59-S65. doi: 10.1111/j.1526-4637.2011.01129.x

LATEST ARTICLES

Unraveling the Mysteries of Type-A Aortic Dissection Using POCUS/Echocardiography

Syeda Rukh*, Sathyanarayana Machani and Milind Awale

doi.

Blood Sample from the Patient

Hypertriglyceridemia-Induced Pancreatitis: A Case Report and Literature Review

Maarten Bulterys, Melvin Willems* and Agnes Meersman

doi.

From Neck Pain to a Life-Threatening Condition: A Case Report

Floris Vandewoude* and Sören Verstraete

doi.

LATEST ARTICLES