Analysis of Electronic Health Records Reveals Medication-Related Interference on Point-of-Care Urine Drug Screening Assays.

Point-of-care (POC) urine drug screening (UDS) assays provide immediate information for patient management. However, POC UDS assays can produce false-positive results, which may not be recognized until confirmatory testing is completed several days later. To minimize the potential for patient harm, it is critical to identify sources of interference. Here, we applied an approach based on statistical analysis of electronic health record (EHR) data to identify medications that may cause false positives on POC UDS assays. From our institution's EHR data, we extracted 120,670 POC UDS and confirmation results, covering 12 classes of target drugs, along with each individual's prior medication exposures. Our approach is based on the idea that exposure to an interfering medication will increase the odds of a false-positive UDS result. For a given assay-medication pair, we quantified the association between medication exposures and UDS results as an odds ratio from logistic regression. We evaluated interference experimentally by spiking compounds into drug-free urine and testing the spiked samples on the POC device. Our dataset included 446 false-positive UDS results (presumptive positive screen followed by negative confirmation). We quantified the odds ratio of false positives for 528 assay-medication pairs. Of the six assay-medication pairs we evaluated experimentally, two showed interference capable of producing a presumptive positive: labetalol on the 3,4-methylenedioxymethamphetamine (MDMA) assay (at 200 µg/mL) and ranitidine on the methamphetamine assay (at 50 µg/mL). Ranitidine also produced a presumptive positive for opiates at 1,600 µg/mL and for propoxyphene at 800 µg/mL. These findings highlight the generalizability and the limits of our approach to use EHR data to identify medications that interfere with clinical immunoassays.

A Computational Approach to Identify Interfering Medications on Urine Drug Screening Assays without Data from Confirmatory Testing.

Urine drug screening (UDS) assays can rapidly and sensitively detect drugs of abuse but can also produce spurious results due to interfering substances. We previously developed an approach to identify interfering medications using electronic health record (EHR) data, but the approach was limited to UDS assays for which presumptive positives were confirmed using more specific methods. Here we adapted the approach to search for medications that cause false positives on UDS assays lacking confirmation data. From our institution's EHR data, we used our previous dataset of 698,651 UDS and confirmation results. We also collected 211,108 UDS results for acetaminophen, ethanol and salicylates. Both datasets included individuals' prior medication exposures. We hypothesized that the odds of a presumptive positive would increase following exposure to an interfering medication independently of exposure to the assay's target drug(s). For a given assay-medication pair, we quantified potential interference as an odds ratio from logistic regression. We evaluated interference of selected compounds in spiking experiments. Compared to the approach requiring confirmation data, our adapted approach showed only modestly diminished ability to detect interfering medications. Applying our approach to the new data, we discovered and validated multiple compounds that can cause presumptive positives on the UDS assay for acetaminophen. Our approach can reveal interfering medications using EHR data from institutions at which UDS results are not routinely confirmed.

Use of a Procalcitonin-guided Antibiotic Treatment Algorithm in the Pediatric Intensive Care Unit.

BACKGROUND: The utility of procalcitonin testing in the pediatric intensive care unit (PICU) is not known. We sought to determine the impact of a procalcitonin-guided antibiotic treatment algorithm implemented with antibiotic stewardship (AS) guidance vs. usual care on antibiotic use in critically ill children. METHODS: Single center, pragmatic, randomized prospective clinical trial of critically ill children admitted to an ICU setting and started on intravenous antibiotics from February 15, 2018, to April 11, 2019. Patients were assigned on a monthly basis to either the procalcitonin or usual care arm. The procalcitonin arm had procalcitonin testing on hospital days 0, 1, 2, and 4 and stewardship assistance with algorithm result interpretation. Both arms had routine AS audit and feedback. The primary outcome was median antibiotic days of therapy per patient in the first 14-days after enrollment. RESULTS: Among 270 patients, 137 were in the procalcitonin arm and 133 in the usual care arm. Antibiotic days of therapy (DOT) were not significantly different between the procalcitonin arm (6.6, IQR: 3.1-10.9) and the usual care arm (7.6, IQR: 3-11.8; P = 0.37). More AS recommendations were made in the procalcitonin vs. control arm (54 vs. 37; P = 0.03). Adherence with algorithm-based antibiotic recommendations was high in the procalcitonin arm (70%). CONCLUSIONS: We found no difference in antibiotic DOT between study arms. This trial was underpowered but demonstrates feasibility of using a procalcitonin-guided antibiotic treatment algorithm with AS audit and feedback in the PICU.

Targeted Strategy to Analyze Antiepileptic Drugs in Human Serum by LC-MS/MS and LC-Ion Mobility-MS.

Routine small-molecule analysis is challenging owing to the need for high selectivity and/or low limits of quantification. This work reports a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method to quantify 14 antiepileptic drugs (AEDs) in human serum. For the optimized LC-MS/MS method described herein, we applied the guidelines outlined in the Clinical and Laboratory Standards Institute (CLSI) LC-MS C62-A document and the U.S. Food and Drug Administration (FDA) Bioanalytical Method Validation Guidance for Industry to evaluate the quality of the assay. In these studies, AED linearity, analyte recovery, matrix effects, precision, and accuracy were assessed. Using liquid chromatography-drift tube ion mobility-mass spectrometry (LC-DTIM-MS), a qualitative method was also used to increase confidence in AED identification using accurate mass and collision cross section (CCS) measurements. The LC-DTIM-MS method was also used to assess the ability of drift tube CCS measurements to aid in the separation and identification of AED structural isomers and other AEDs. These data show that another dimension of information, namely CCS measurements, provides an orthogonal dimension of structural information needed for AED analysis. Multiplexed AED measurements using LC-MS/MS and LC-DTIM-MS have the potential to enable better optimization of dosing owing to the high precision capabilities available in these types of analytical studies. Taken together, these data also show the ability to increase confidence in small-molecule identification and quantification using these analytical technologies.

Unrecognized Hemoglobin Variants in the Donor Blood Supply Are Detectable in the Transfused Population.

OBJECTIVES: The US Food and Drug Administration requires donated blood to be tested for various infectious diseases to ensure safety and purity. However, testing for hemoglobin variants is not required, despite reported occurrences of hemoglobin variant transfusion and concerns about the safety of such transfusions. This study aimed to investigate the frequency of hemoglobin variants within the blood supply. METHODS: We performed a 2-part study. First, we tested all RBC units in our blood bank by high-performance liquid chromatography for the presence of hemoglobin variants. Second, we performed a retrospective analysis of hemoglobin variant testing completed for routine management of sickle cell disease patients at our institution over a 5-month period to identify cases of hemoglobin variant transfusion. RESULTS: We found that 2 of 476 (0.4%) RBC units in our blood bank contained a hemoglobin variant, and 5 of 563 (0.9%) sickle cell patients seen at our institution in a 5-month period were transfused with RBCs containing a hemoglobin variant. CONCLUSIONS: We confirmed that hemoglobin variants are present within the blood supply, and the frequency of hemoglobin variant transfusion is elevated for patients with sickle cell disease given the increased prevalence of hemoglobin variants in the population of matched donors.

Voxelotor Treatment Interferes With Quantitative and Qualitative Hemoglobin Variant Analysis in Multiple Sickle Cell Disease Genotypes.

OBJECTIVES: Voxelotor was recently approved for use in the United States as a treatment for sickle cell disease (SCD) and has been shown to interfere with the quantitation of hemoglobin (Hb) S percentage. This study aimed to determine the effect of voxelotor on the quantitation of hemoglobin variant levels in patients with multiple SCD genotypes. METHODS: In vitro experiments were performed to assess the impact of voxelotor treatment on hemoglobin variant testing. Whole blood samples were incubated with voxelotor and then analyzed by routinely used quantitative and qualitative clinical laboratory methods (high-performance liquid chromatography [HPLC], capillary zone electrophoresis [CZE], and acid and alkaline electrophoresis). RESULTS: Voxelotor modified the α-globin chain of multiple hemoglobins, including HbA, HbS, HbC, HbD-Punjab, HbE, HbA2, and HbF. These voxelotor-hemoglobin complexes prevented accurate quantitation of multiple hemoglobin species, including HbS, by HPLC and CZE. CONCLUSIONS: Technical limitations in quantifying HbS percentage may preclude the use of HPLC or CZE for monitoring patients treated with voxelotor. Furthermore, it is unclear whether HbS-voxelotor complexes are clinically equivalent to HbS. Consensus guidelines for reporting hemoglobin variant percentages for patients taking voxelotor are needed, as these values are necessary for determining the number of RBC units to exchange in acute situations.

Institutional Training Opportunities for PhD Students in Laboratory Medicine: An Unmet Career Development Need?

In the United States, the credentialing of PhD-scientists as medical directors of clinical laboratories is driven by formal postdoctoral training programs. Prior to acceptance in one these accredited fellowships, however, a trainee's exposure to the field can be far less standardized, with significant ramifications for their awareness and competitiveness. In the current article, we describe our recent experiences in developing local, institution-based immersion opportunities for PhD experiences in the subdisciplines of laboratory medicine (clinical microbiology, clinical chemistry, and molecular genetics/genomics). It is our hope that this article-and a corresponding online survey-can prompt reflection and discussion on the status of early career training opportunities in these key clinical areas.

Discovering Cross-Reactivity in Urine Drug Screening Immunoassays through Large-Scale Analysis of Electronic Health Records.

BACKGROUND: Exposure to drugs of abuse is frequently assessed using urine drug screening (UDS) immunoassays. Although fast and relatively inexpensive, UDS assays often cross-react with unrelated compounds, which can lead to false-positive results and impair patient care. The current process of identifying cross-reactivity relies largely on case reports, making it sporadic and inefficient, and rendering knowledge of cross-reactivity incomplete. Here, we present a systematic approach to discover cross-reactive substances using data from electronic health records (EHRs). METHODS: Using our institution's EHR data, we assembled a data set of 698651 UDS results across 10 assays and linked each UDS result to the corresponding individual's previous medication exposures. We hypothesized that exposure to a cross-reactive ingredient would increase the odds of a false-positive screen. For 2201 assay-ingredient pairs, we quantified potential cross-reactivity as an odds ratio from logistic regression. We then evaluated cross-reactivity experimentally by spiking the ingredient or its metabolite into drug-free urine and testing the spiked samples on each assay. RESULTS: Our approach recovered multiple known cross-reactivities. After accounting for concurrent exposures to multiple ingredients, we selected 18 compounds (13 parent drugs and 5 metabolites) to evaluate experimentally. We validated 12 of 13 tested assay-ingredient pairs expected to show cross-reactivity by our analysis, discovering previously unknown cross-reactivities affecting assays for amphetamines, buprenorphine, cannabinoids, and methadone. CONCLUSIONS: Our findings can help laboratorians and providers interpret presumptive positive UDS results. Our data-driven approach can serve as a model for high-throughput discovery of substances that interfere with laboratory tests.

Agreement Between Two Procalcitonin Assays in Hospitalized Children.

INTRODUCTION: Agreement between available procalcitonin (PCT) assays is unclear. We sought to compare concordance between Roche and bioMérieux PCT assays using pediatric samples. METHODS: We evaluated 213 plasma samples from 208 children. We tested each sample on both the Roche and bioMérieux PCT platforms. RESULTS: At ranges < 2 µg/L, the Roche platform had a mean negative bias of 0.13 µg/L versus the bioMérieux platform. This bias resulted in PCT levels that crossed accepted cut points in 12.7% of patients. CONCLUSIONS: PCT levels measured on either platform are similar, especially at PCT ranges used for antibiotic decision-making algorithms. FUNDING: This work was supported by an investigator-initiated research agreement through bioMérieux and by the National Institute of Allergy and Infectious Diseases Childhood Infection Research Program (ChIRP), National Institute of Health and the National Center for Advancing Translational Sciences of the National Institute of Health.

Commonly used fluoroquinolones cross-react with urine drug screens for opiates, buprenorphine, and amphetamines.

OBJECTIVES: Fluoroquinolone antibiotics are commonly used in the treatment of infections and have previously been confirmed to cross-react with previous generations of opiates immunoassays. In this work we evaluated the cross-reactivity of the three fluoroquinolones in use at our institution with a panel of 10 urine drug screens. DESIGN AND METHODS: Drug preparations of levofloxacin, ciprofloxacin, and moxifloxacin that were designed for intravenous delivery were added to drug-free urine at varying concentrations. Spiked urine samples were screened for illicit and therapeutic drugs on an Abbott Architect c16000 automated chemistry analyzer. Percent cross-reactivity was calculated. RESULTS: Levofloxacin displayed clinically relevant cross-reactivity with the Abbott MULTIGENT opiates and Thermo CEDIA® buprenorphine immunoassays but did not cross-react with the Abbott MULTIGENT oxycodone or methadone immunoassays. Moxifloxacin displayed clinically relevant cross-reactivity only with the Abbott MULTIGENT amphetamine/methamphetamine assay. Ciprofloxacin did not cross-react with any of the 10 immunoassays. CONCLUSIONS: This study demonstrates that levofloxacin cross-reacts with modern immunoassays for two related opioids (buprenorphine and morphine) and moxifloxacin cross-reacts with the amphetamine/methamphetamine assay. Urine concentrations of these fluoroquinolones that are consistent with therapeutic use produced results above commonly used-cutoffs for positivity. This underscores the necessity of confirmatory testing of presumptively positive urine drug screens.

Mass spectrometry in emergency toxicology: Current state and future applications.

This manuscript offers a broad overview of the state of emergency toxicology testing in clinical laboratories. We summarize the specific challenges of performing emergency toxicology testing, introduce a variety of currently used methods including mass spectrometry, and compare and contrast the utility of different types of mass spectrometers for this purpose. Finally, we examine evidence on the utility of toxicological testing in the treatment of poisoned patients, with special emphasis on the demonstrated utility of mass spectrometry-based tests. This review included primary literature indexed in the NCBI PubMed Database. Search terms included "emergency toxicology", "emergency mass spectrometry", "mass spectrometry toxicology", "utility of toxicology testing", and "toxicology surveillance". There are relatively few clinical trials on the utility of toxicology testing in overdosed or poisoned patients, and those studies that exist have a number of limitations. One of the most significant is that nearly all were conducted with immunoassay-based tests, which can only detect a limited number of compounds and are known to have a high false-positive rate. In addition, few are prospective. The overwhelming majority of studies of immunoassay-based tests concluded that results rarely changed patient management, regardless of the patient's clinical presentation. Many of these studies suggest that results could still be useful in other contexts, including identification of opportunities to refer a patient to substance abuse treatment or avoidance of drug-drug interactions. Mass spectrometry-based testing has several advantages over immunoassays, including the breadth of compounds that can be detected and substantially higher specificity, yet many questions remain about utility in emergency toxicology. The utility of mass spectrometry-based testing has not been assessed in a prospective clinical trial, rather the literature is overwhelmingly case-based, and a small number of laboratories are responsible for the majority of the case reports. The limited evidence that exists suggests that mass spectrometry can be useful in emergency situations, provided that results are available rapidly, interpreted by a knowledgeable physician, and that the scope of the method includes the compound implicated in the poisoning. Like results from immunoassays, many authors report using mass spectrometry-based testing for purposes other than direct patient care, namely surveillance of emerging drugs and trends in local drug use. A number of case reports and larger case series present evidence in support of this use. Despite the potential advantages of mass spectrometry, the quantity and quality of published evidence are not sufficient to adequately assess the utility of mass spectrometry-based emergency toxicology results. This is a field that is ripe for investigation, particularly as mass spectrometers become less expensive and the technology is adopted by an increasing number of clinical laboratories. There is a strong need for prospective studies on implementation of STAT mass spectrometry-based tests in emergency toxicology and larger scale assessments of impact on acute patient care as well as public health.

Evaluation of procalcitonin immunoassay concordance near clinical decision points.

Background Procalcitonin (PCT) is a biomarker for systemic bacterial infections and may aid in decision making for antimicrobial stewardship. Numerous PCT assays are available on common clinical immunoassay platforms. However, questions remain about the harmonization of these assays and whether the same clinical decision points may be used with all methods. Methods Thirty-seven remnant patient serum samples were analyzed across four different PCT assays: Abbott ARCHITECT i2000, bioMérieux MINI VIDAS, Roche Elecsys cobas e 411, and BRAHMS KRYPTOR. Regression analysis was performed, and correlation was assessed at common clinical decision points for antimicrobial therapy: 0.10, 0.25, and 0.50 µg/L. Results Data showed a positive bias of the MINI VIDAS compared to the KRYPTOR (slope=1.188, R=0.9873) and negative biases of both the ARCHITECT i2000 and cobas e 411 compared to the KRYPTOR (slope=0.806, R=0.8864, and slope=0.795, R=0.8974, respectively). A comparison of results at commonly used clinical decision points for antimicrobial stewardship showed that, relative to the KRYPTOR, 21% of samples would be classified into different interpretive categories by the ARCHITECT i2000 method, 31% of samples would be classified differently by the MINI VIDAS method, and 16% of samples would be classified differently by the cobas e 411 method. Conclusions All methods showed reasonable analytical agreement; however, an analysis of result interpretation at clinical decision points showed that many samples were differentially categorized (e.g. shifted by one interpretive category) by the methods. Overall, our findings support a need for harmonization of PCT methods. Until then, institutions should independently evaluate their PCT assays against predicate methods and consider the impact on result interpretation prior to incorporating PCT into clinical practice.

Drug Screening Using Liquid Chromatography Quadrupole Time-of-Flight (LC-QqTOF) Mass Spectrometry.

Drug screening using high-resolution mass spectrometers, including quadrupole time-of-flight mass analyzers (QqTOFs), is becoming increasingly popular due to the additional flexibility that these instruments offer laboratories. Liquid chromatography (LC) coupled to TOF, as in an LC-QqTOF, offers comparable sensitivity and a shortened method development time relative to triple quadrupole-based mass spectrometry. In addition, LC-QqTOF data that are collected in untargeted mode can be analyzed retrospectively to detect additional compounds that were not predefined targets. Much of the power of LC-QqTOF lies in data processing, and the data analysis workflow that a lab uses must be adequately validated.

Umbilical Cord Tissue and Meconium May Not Be Equivalent for Confirming in Utero Substance Exposure.

In a retrospective study of 501 neonates with potential in utero substance exposure, the drug detection performance of a commercially available umbilical cord tissue toxicology test was evaluated against a commercially available gold standard meconium toxicology test. Drugs detected in paired meconium and umbilical cord tissue samples were often discordant.

Detection of Drug-Exposed Newborns.

Maternal substance abuse during pregnancy is a growing problem with major public health and legal concerns. In utero substance exposure may adversely affect neonatal development; pregnancy outcome; and the long-term behavioral, cognitive, and developmental abilities of the child. Also, serious legal implications are associated with substance abuse during pregnancy, including charges of child abuse and neglect that may result in the removal of the neonate from parental care and loss of custodial rights. Timely detection of in utero drug exposure is necessary for early identification and effective management of exposed newborns. Accurate identification of drug-exposed newborns relies on maternal history; clinical presentation of the newborn; and laboratory testing of biological maternal matrices (ie, urine, blood, oral fluid, sweat, hair, and breast milk), neonatal matrices (ie, urine, meconium, hair, and umbilical cord blood and tissue), and/or matrices from both the mother and neonate (ie, placenta and amniotic fluid). Evaluation of biological matrices can account for in utero exposure at various stages of gestation and approximate the period (recent versus chronic use) of substance exposure. Each matrix has its own unique advantages and limitations in terms of ease of collection, the window of gestational exposure represented, and sensitivity for different parent drug analytes and metabolites, which must be carefully considered for accurate interpretation of results. Analytical approaches to sample preparation and analysis vary based on the complexity of these biological matrices. Immunoassays are routinely used for screening, and chromatographic separation coupled to mass spectrometry detection method is commonly used for definitive (confirmatory) testing. Some laboratories use a single technology for all testing. This review provides a discussion on approaches used to detect drug-exposed newborns, biological specimens that have been studied to identify and characterize drug exposures, example analytical methods for meconium and umbilical cord tissue as well as considerations surrounding the interpretation of results. A possible algorithm for testing is also proposed.