Validating the NIH LDL-C equation for provincial implementation in Alberta.

BACKGROUND: LDL-C, a cardiovascular disease risk assessment biomarker, is commonly calculated using the Friedewald equation. The NIH equation overcomes several limitations of the Friedewald equation. Consistent with the Canadian Society of Clinical Chemists (CSCC) lipid reporting recommendations, we assessed the NIH LDL-C equation in Alberta prior to its provincial implementation. METHODS: 1-year (01/01/2021-12/31/2021) of lipid results (n = 1,486,584 after data cleaning) were obtained from five analytical instrument groups used across Alberta. Analyses were performed on all data and after separating by age, analytical instrument group, and fasting status. The correlation between Friedewald- and NIH-calculated LDL-C and between Friedewald- and NIH-calculated LDL-C difference and each lipid parameter, was determined. The frequency of unreportable/inaccurate LDL-C results was compared between the two equations. The concordance between the two equations and with non-HDL-C was determined at LDL-C thresholds. Lastly, LDL-C calculated by Friedewald, NIH, and Martin-Hopkins equations was compared to density-gradient ultracentrifugation. RESULTS: Friedewald- and NIH-calculated LDL-C exhibit the strongest correlation when triglycerides ≤ 4.52 mmol/L. The difference between Friedewald- and NIH-calculated LDL-C increases with decreasing LDL-C concentration. The NIH equation yields fewer inaccurate results (0.35 % vs. 22.0 %). The percent agreement between equations was > 96 % at all LDL-C thresholds, suggesting most patients will not require treatment changes. NIH-calculated LDL-C exhibited better agreement with non-HDL-C when triglycerides ≤ 9.04 mmol/L and better correlated with LDL-C measured by ultracentrifugation (r2 = 0.926 vs. 0.775 (Friedewald) and 0.863 (Martin-Hopkins)). Results were consistent across age, analytical instrument group, and fasting status. CONCLUSIONS: Our findings demonstrate the benefits of implementing the NIH equation across Alberta.

Plasma Branched-Chain Amino Acid Concentrations and Glucose Homeostasis in Kidney Transplant Recipients and Candidates.

Background: Post-transplant diabetes mellitus (PTDM) encompasses new-onset and previously unrecognized type 2 diabetes. Kidney failure masks type 2 diabetes. Branched-chain amino acids (BCAA) are closely associated with glucose metabolism. Therefore, understanding BCAA metabolism both in kidney failure and after kidney transplantation may inform PTDM mechanisms. Objective: To understand the impact of present or absent kidney function on plasma BCAA concentrations. Design: Cross-sectional study of kidney transplant recipients and kidney transplant candidates. Setting: Large kidney transplant center in Toronto, Canada. Measurements: We measured plasma BCAA and aromatic amino acid (AAA) concentrations in 45 pre-kidney transplant candidates (15 with type 2 diabetes, 30 without type 2 diabetes) and 45 post-kidney transplant recipients (15 PTDM, 30 non-PTDM), along with insulin resistance and sensitivity by 75 g oral glucose loading for those in each group without type 2 diabetes. Methods: Plasma AA concentrations were analyzed using MassChrom AA Analysis and compared between groups. The insulin sensitivity for oral glucose tolerance tests or Matsuda index (a measure of whole-body insulin resistance), Homeostatic Model Assessment for Insulin Resistance (a measure of hepatic insulin resistance), and Insulin Secretion-Sensitivity Index-2 (ISSI-2, a measure of pancreatic ß-cell response) was calculated from fasting insulin and glucose concentrations, and compared with BCAA concentrations. Results: Each BCAA concentration was higher in post-transplant subjects than pre-transplant subjects (P < .001 for leucine, isoleucine, valine). In post-transplant subjects, each BCAA concentration was higher in PTDM versus non-PTDM (odds ratio for PTDM 3-4 per 1 SD increase in BCAA concentration, P < .001 for each). Tyrosine concentrations were also higher in post-transplant subjects than pre-transplant subjects, but tyrosine did not differ by PTDM status. By contrast, neither BCAA nor AAA concentrations were different in pre-transplant subjects with or without type 2 diabetes. Whole-body insulin resistance, hepatic insulin resistance, and pancreatic ß-cell response did not differ between nondiabetic post-transplant and pre-transplant subjects. Branched-chain amino acid concentrations correlated with the Matsuda index and Homeostatic Model Assessment for Insulin Resistance (P < .05 for each) only in nondiabetic post-transplant subjects-not in nondiabetic pre-transplant subjects. Branched-chain amino acid concentrations did not correlate with ISSI-2 in either pre-transplant or post-transplant subjects. Limitations: The sample size was small, and subjects were not studied prospectively for the development of type 2 diabetes. Conclusions: Plasma BCAA concentrations are higher post-transplant in type 2 diabetic states, but do not differ by diabetes status in the presence of kidney failure. The association of BCAA with measures of hepatic insulin resistance among nondiabetic post-transplant patients is consistent with impaired BCAA metabolism as a characteristic of kidney transplantation.

Contexte: Le diabète post-transplantation (DPT) englobe les nouvelles manifestations du diabète de type 2 nouveau et le diabète précédemment non reconnu. L'insuffisance rénale masque le diabète de type 2. Les acides aminés à chaîne ramifiée (AACR) sont étroitement liés au métabolisme du glucose. Par conséquent, la compréhension du métabolisme des acides aminés à chaîne ramifiée (AACR) à la fois dans l'insuffisance rénale et après la transplantation rénale peut informer les mécanismes de DPT. Objectifs: Comprendre l'impact de la présence ou de l'absence de fonction rénale sur les concentrations plasmatiques d'AACR. Type d'étude: Étude transversale portant sur des receveurs d'une greffe rénale et des candidats à une transplantation de rein. Cadre: Un grand centre de transplantation rénale de Toronto (Canada). Mesures: Nous avons mesuré les concentrations plasmatiques d'AACR et d'AA aromatiques (AAA) chez 45 candidats pré-transplantation rénale (15 atteints de diabète de type 2; 30 non-diabétiques) et 45 patients ayant reçu une greffe rénale (15 DPT, 30 non-DPT). Les patients des groupes non-diabétiques ont en outre subi un test de résistance et de sensibilité à l'insuline à la suite de l'administration orale de 75 g de glucose. Méthodologie: Les concentrations plasmatiques d'AA ont été analysées à l'aide de l'appareil Mass Chrom AA Analysis et comparées entre les groupes. La sensibilité à l'insuline pour les tests oraux de tolérance au glucose ou l'indice Matsuda (mesure de la résistance à l'insuline dans tout l'organisme), l'évaluation du modèle homéostatique de la résistance à l'insuline (mesure de la résistance hépatique à l'insuline) et l'indice de sensibilité à la sécrétion d'insuline-2 (mesure de la réponse des cellules ß pancréatiques) ont été calculés à partir des concentrations d'insuline et de glucose à jeun, et comparés aux concentrations d'AACR. Résultats: Chacune des concentrations en AACR était plus élevée chez les sujets post-transplantation que chez les sujets pré-transplantation (p < 0,001 pour la leucine, l'isoleucine, la valine). Chez les sujets post-transplantation, chaque concentration d'AACR était plus élevée chez les sujets DPT que chez le cas des sujets non-DPT (RC pour DPT: entre 3 et 4 pour chaque augmentation de l'écart-type; p < 0,001 pour chacun). Les concentrations de tyrosine étaient également plus élevées chez les sujets post-transplantation que chez les sujets pré-transplantation, mais ne différaient pas selon le statut du DPT. En revanche, ni les concentrations d'AACR ni les concentrations d'AAA n'étaient différentes chez les sujets pré-transplantation qu'ils soient ou non atteints de diabète de type 2. La résistance de tout l'organisme à l'insuline, la résistance hépatique à l'insuline et la réponse des cellules ß pancréatiques ne différaient pas entre les sujets non-diabétiques avant ou après la transplantation. Les concentrations d'AACR étaient corrélées avec l'indice Matsuda et l'évaluation du modèle homéostatique de la résistance à l'insuline (p<0,05 pour chacun) uniquement chez les sujets non-diabétiques après la transplantation, et non chez les sujets non-diabétiques avant la transplantation. Les concentrations d'AACR n'étaient pas en corrélation avec l'ISSI-2, que ce soit chez les sujets avant ou après la transplantation. Limites: L'échantillon était de petite taille et les sujets n'ont pas été étudiés prospectivement pour le développement du diabète de type 2. Conclusion: Les concentrations plasmatiques d'AACR sont plus élevées après la transplantation chez les sujets diabétiques de type 2, mais ne diffèrent pas selon le statut du diabète en présence d'une insuffisance rénale. Les associations entre les AACR et les mesures de la résistance hépatique à l'insuline chez les patients non-diabétiques post-transplantation sont cohérentes avec une altération du métabolisme des AACR comme caractéristique de la transplantation rénale.

Variation in processes and reporting of cerebrospinal fluid oligoclonal banding and associated tests and calculated indices across Canadian clinical laboratories.

OBJECTIVES: Multiple sclerosis is diagnosed based on clinical and laboratory findings, including cerebrospinal fluid (CSF) oligoclonal banding (OCB) analysis. The lack of updated CSF OCB laboratory guidelines in Canada has likely led to variation in processes and reporting across clinical laboratories. As a first step to developing harmonized laboratory recommendations, we examined current CSF OCB processes, reporting, and interpretation across all Canadian clinical laboratories currently performing this test. DESIGN AND METHODS: A survey of 39 questions was sent to clinical chemists at all 13 Canadian clinical laboratories performing CSF OCB analysis. The survey included questions regarding quality control processes, reporting practices for CSF gel electrophoresis pattern interpretation, and associated tests and calculated indices. RESULTS: The survey response rate was 100%. Most (10/13) laboratories use ≥2 CSF-specific bands (2017 McDonald Criteria) as their CSF OCB positivity cut-off and only 2/13 report the number of bands with every report. Most (8/13 and 9/13) laboratories report an inflammatory response pattern and monoclonal gammopathy pattern, respectively. However, the process for reporting and/or confirming a monoclonal gammopathy varies widely. Variation was observed for reference intervals, units, and the panel of reported associated tests and calculated indices. The maximum acceptable time interval between paired CSF and serum collections varied from 24 h to no limit. CONCLUSIONS: Profound variation exists in processes, reporting, and interpretation of CSF OCB and associated tests and indices across Canadian clinical laboratories. Harmonization of CSF OCB analysis is required to ensure continuity and quality of patient care. Our detailed assessment of current practice variation highlights the need for clinical stakeholder engagement and further data analysis to support optimal interpretation and reporting practices, which will aid in developing harmonized laboratory recommendations.

Emerging synthetic cannabinoids detected by a drug checking service in Toronto, Canada.

BACKGROUND: Toronto's Drug Checking Service (DCS) provides people who use drugs with information on the chemical composition of their substances and conducts real-time monitoring of the unregulated drug supply. Presented are first known data of three newly detected synthetic cannabinoids (SCs) in Toronto, Ontario. METHODS: The present data are from samples analyzed between April and November 2020. Samples were collected at partnering harm reduction agencies in Toronto and analyzed using gas or liquid chromatography-mass spectrometry. An intake survey queried about the sample characteristics on submission, including expected drug(s). RESULTS: Samples were analyzed between 1 April and 20 November 2020 (N = 19), which marks the period immediately following imposed COVID-19 border and movement restrictions in Canada. The newly detected, unexpected SCs were ACHMINACA (n = 15), AB-FUBINACA (n = 3), and 4-fluoro-MDMB-BUTINACA (n = 1). Fentanyl was expected in 74% (n = 14). Most SCs were detected in samples containing fentanyl or related analogues (n = 18; 95%), or benzodiazepine-related drugs (i.e., etizolam and flualprazolam) (n = 15; 79%). CONCLUSIONS: This information can inform overdose prevention efforts and drug market monitoring of SCs in Toronto and regions served by the same drug trafficking routes. The detection of SCs during a period marked by COVID-19-related restrictions can contribute to efforts to identify global drug market trends during this time.

Analytical performance evaluation of thyroid-stimulating hormone receptor antibody (TRAb) immunoassays.

BACKGROUND: Thyroid-stimulating hormone receptor (TSHR)-activating autoantibodies stimulate thyroid growth and hormone synthesis/secretion, causing hyperthyroidism of Graves' disease (GD). TRAb measurement helps diagnose GD and is an important first test in evaluating hyperthyroidism according to the recent American Thyroid Association guidelines. We compared the performance of the BRAHMS TRAK Kryptor (Thermo Scientific) and Roche cobas TRAb immunoassays for use in GD. METHOD: Method comparison (n = 40) and clinical agreement were assessed between the Kryptor, cobas e411, and cobas e601. The analytical performance of Kryptor and cobas e411 were assessed for within- and between-day imprecision across 20 days, linearity, functional assay sensitivity (FAS), dilution recovery, and cut-off verification. RESULTS: The Kryptor, e411, and e601 TRAb immunoassays correlated well (r > 0.95, overall percent agreement = 0.95, Cohen's kappa = 0.90). With a total allowable error of 20%, percent bias was within 13%, which was minimally negative at <20 IU/L, but highly positive (33%-34%) >20 IU/L. The Kryptor, but not e411, was linear across the claimed analytical measuring range (AMR). The claimed functional assay sensitivity (FAS), which was close to the clinical GD cut-off 1.8 IU/L, was verified for Kryptor and e411. CONCLUSION: Overall, our evaluation demonstrates acceptable comparability between TRAb immunoassays with in-house imprecision up to 13% and 10% on Kryptor and e411, respectively. While Roche has preferable calibration frequency and on-board reagent stability, both platforms demonstrate acceptable imprecision using patient samples at their claimed FAS, which is important for GD diagnosis. Diluted results (using a negative patient pool as diluent) exhibits proportional positive bias on the Kryptor relative to the Roche methods.

Evaluating networked drug checking services in Toronto, Ontario: study protocol and rationale.

BACKGROUND: The increasing incidence of fatal opioid overdose is a public health crisis in Canada. Given growing consensus that this crisis is related to the presence of highly potent opioid adulterants (e.g., fentanyl) in the unregulated drug supply, drug checking services (DCS) have emerged as part of a comprehensive approach to overdose prevention. In Canada's largest city, Toronto, a network of DCS launched in 2019 to prevent overdose and overdose-related risk behaviors. This network employs mass spectrometry technologies, with intake sites co-located with supervised consumption services (SCS) at three frontline harm reduction agencies. The protocol and rationale for assessing the impact of this multi-site DCS network in Toronto is described herein. The aims of this study are to (1) evaluate the impact of DCS access on changes in and factors influencing overdose and related risk behaviors, (2) investigate the perceived capacity of DCS to prevent overdose, and (3) identify composition (qualitative and quantitative) trends in Toronto's unregulated drug supply. METHODS: We will use a parallel-mixed-methods design with complementary data sources (including data from chemical analysis of drug samples, quantitative intake and post-test surveys, SCS, coroners, paramedic services, and qualitative interviews), followed by a meta-inference process wherein results from analyses are synthesized. RESULTS: Whereas most DCS globally target "recreational drug users," in Toronto, this networked DCS will primarily target marginalized people who use drugs accessing frontline services, many of whom use drugs regularly and by injection. This evolution in the application of DCS poses important questions that have not yet been explored, including optimal service delivery models and technologies, as well as unique barriers for this population. Increasing information on the unregulated drug supply may modify the risk environment for this population of people who use drugs. CONCLUSIONS: This study addresses evidence gaps on the emerging continuum of overdose prevention responses and will generate critical evidence on a novel approach to reducing the ongoing high incidence of drug-related morbidity and mortality in Canada and elsewhere.

A real-world assessment of procalcitonin combined with antimicrobial stewardship in a community ICU.

PURPOSE: We evaluated the feasibility and impact of PCT-guided antibiotic duration combined with an established antibiotic stewardship program (ASP) in a community hospital intensive care unit (ICU). METHODS: We implemented daily PCT levels for ICU patients receiving antibiotics. Our protocol recommended stopping antibiotic therapy if PCT met an absolute or relative stopping threshold. We evaluated the adherence to stopping criteria within 48 h, antibiotic use [days of therapy (DOT) per 1000 patient-days (PD)], length of stay and ICU-mortality. We performed interrupted time series analysis to compare 24 months before and 12 months after implementation. RESULTS: A total of 297 antibiotic courses were monitored with PCT in 217 patients. Protocol adherence was 34% (absolute threshold: 39%, relative threshold: 12%). Antibiotic use pre-PCT was 935 DOTs/1000 PDs and post-PCT was 817 DOTs/1000 PDs (RRadj 0.73, 95% CI: 0.62 to 0.86). No statistically significant changes in clinical outcomes were noted. CONCLUSION: In the context of an established ASP in a community hospital ICU, PCT monitoring was feasible and associated with an adjusted overall decrease of 27% in antibiotic use with no adverse impact on clinical outcomes. Incorporating PCT testing to guide antibiotic duration can be successful if integrated into workflow and paired with ASP guidance.

From ultra-soft slime to hard {alpha}-keratins: The many lives of intermediate filaments.

Intermediate filaments are filaments 10 nm in diameter that make up an important component of the cytoskeleton in most metazoan taxa. They are most familiar for their role as the fibrous component of α-keratins such as skin, hair, nail, and horn but are also abundant within living cells. Although they are almost exclusively intracellular in their distribution, in the case of the defensive slime produced by hagfishes, they are secreted. This article surveys the impressive diversity of biomaterials that animals construct from intermediate filaments and will focus on the mechanisms by which the mechanical properties of these materials are achieved. Hagfish slime is a dilute network of hydrated mucus and compliant intermediate filament bundles with ultrasoft material properties. Within the cytoplasm of living cells, networks of intermediate filaments form soft gels whose elasticity arises via entropic mechanisms. Single intermediate filaments or bundles are also elastic, but substantially stiffer, exhibiting modulus values similar to that of rubber. Hard α-keratins like wool are stiffer still, an effect that is likely achieved via dehydration of the intermediate filaments in these epidermal appendages. The diverse mechanisms described here have been employed by animals to generate materials with stiffness values that span an impressive eleven orders of magnitude.