Transporters affecting biochemical test results: Creatinine-drug interactions

2016 ◽  
Vol 100 (5) ◽  
pp. 437-440 ◽  
Author(s):  
X Chu ◽  
K Bleasby ◽  
GH Chan ◽  
I Nunes ◽  
R Evers
Keyword(s):  
Drug Interactions ◽  
Biochemical Test ◽  
Test Results

Age-related variations in hematologic and plasma biochemical test results in Beagles and Labrador Retrievers

2003 ◽  
Vol 223 (10) ◽  
pp. 1436-1442 ◽  
Author(s):  
E. Jean Harper ◽  
Rachel M. Hackett ◽  
Joy Wilkinson ◽  
Paul R. Heaton
Keyword(s):  
Biochemical Test ◽  
Test Results ◽  
Age Related ◽  
Labrador Retrievers

scholarly journals The Utility of Pharmacogenetic-Guided Psychotropic Medication Selection for Pediatric Patients: A Retrospective Study

2021 ◽  
Vol 13 (3) ◽  
pp. 421-433
Author(s):  
Merlin Ariefdjohan ◽  
Yee Ming Lee ◽  
Danielle L. Stutzman ◽  
Sean LeNoue ◽  
Marianne Z. Wamboldt
Keyword(s):  
Drug Interactions ◽  
Psychotropic Medication ◽  
Developmental Disorders ◽  
Pediatric Patients ◽  
Autism Spectrum ◽  
Child And Adolescent Psychiatry ◽  
Mood Stabilizers ◽  
Test Results ◽  
Pharmacogenetic Testing ◽  
Before And After

Background: To describe trends and clinical experiences in applying commercial pharmacogenetic testing among pediatric patients with neuropsychiatric disorders. Methods: Demographic and clinical data of patients receiving GeneSight® testing from January 2015 to November 2016 at an urban pediatric hospital were retrospectively extracted from medical charts. Outcome data included pharmacogenetic test results and medication prescriptions before and after the test. Results: A total of 450 patients (12.1 ± 4.3 years) diagnosed with anxiety disorder, attention deficit hyperactivity disorder, developmental disorders including autism, and/or a mood disorder received testing, and 435 of them were prescribed medications. Comparing data before and after testing, the total number of psychotropic prescriptions were reduced by 27.2% and the number of prescribed medications with severe gene-drug interactions decreased from 165 to 95 (11.4% to 8.9% of total medications prescribed). Approximately 40% of actionable genetic annotation were related to CYP2CD6 and CYP2C19. Patients of Asian descent had significantly higher likelihood than other races of being classified as poor to intermediate metabolizers of antidepressants, mood stabilizers, and antipsychotics (p = 0.008, 0.007, and 0.001, respectively). Diagnoses, including autism spectrum disorder, were not associated with increased risks of severe gene-drug interactions. Conclusions: Pharmacogenetic testing in child and adolescent psychiatry is currently based on few clinically actionable genes validated by CPIC and/or FDA. Although this approach can be moderately utilized to guide psychotropic medication prescribing for pediatric patients with psychiatric disorders, clinicians should cautiously interpret test results while still relying on clinical experience and judgment to direct the final selection of medication.

Implications of Cannabidiol in Pharmacogenomic-Based Drug Interactions with CYP2C19 Substrates

2021 ◽  
Vol 36 (12) ◽  
pp. 674-680
Author(s):  
Anastasia Engeleit ◽  
Sheena Crosby ◽  
Michael J. Schuh
Keyword(s):  
Drug Interactions ◽  
Dietary Supplements ◽  
Gene Interactions ◽  
Test Results ◽  
Herbal Supplements ◽  
Patient Case

This is a patient case exploring the importance of evaluating herbal and dietary supplements and how they may impact drug-drug and drug-gene implications based on pharmacogenomics test results. Even though herbal supplements are considered natural by many patients, which is often the reason for starting them, herbal supplements may still be metabolized by the same pathways as other medications, potentially contributing to drug-drug, drug-herb, and drug-gene interactions, and therefore, potentially impacting a patient’s response to medications.

Comparison of Avian Biochemical Test Results With Abaxis VetScan and Hitachi 911 Analyzers

2008 ◽  
Vol 22 (4) ◽  
pp. 291-299 ◽  
Author(s):  
Cheryl B. Greenacre ◽  
Bente Flatland ◽  
Marcy J. Souza ◽  
Michael M. Fry
Keyword(s):  
Biochemical Test ◽  
Test Results

Evaluation of abnormal liver biochemical test results: Does the hare finally beat the tortoise?

2017 ◽  
Vol 66 (2) ◽  
pp. 273-274
Author(s):  
John J. Poterucha ◽  
Lawrence S. Friedman
Keyword(s):  
Biochemical Test ◽  
Test Results

Comparison of Hematologic and Biochemical Test Results in Blood Samples Obtained by Jugular Venipuncture Versus Nail Clip in Moluccan Cockatoos (Cacatua moluccensis)

2015 ◽  
Vol 29 (4) ◽  
pp. 303-312
Author(s):  
Tracy D. Bennett ◽  
Daniel V. Lejnieks ◽  
Hoyt Koepke ◽  
Fiona Grimson ◽  
Jennifer Szucs ◽  
...  
Keyword(s):  
Biochemical Test ◽  
Test Results ◽  
Blood Samples

scholarly journals Reproducibility of the analytab (API 20E) system

1975 ◽  
Vol 2 (4) ◽  
pp. 322-326
Author(s):  
D A Butler ◽  
C M Lobregat ◽  
T L Gavan
Keyword(s):  
Species Identification ◽  
Incubation Time ◽  
Inoculum Size ◽  
Biochemical Test ◽  
Clinical Isolates ◽  
Test Results ◽  
Biochemical Tests ◽  
Inoculum Concentration ◽  
Repeat Testing ◽  
Colony Forming Units

The reproducibility of the Analytab (API 20E) system for identification of Enterobacteriaceae was evaluated with 110 clinical isolates. Each isolate was identified by two technologists at different times. Genus-species identification was 97.3% reproducible; however, only 55.5% of the strains gave identical reactions in all 20 of the API 20E biochemical tests on repeat testing. Of those strains which varied, 56% possessed only one variable biochemical test. The reproducibility for each biochemical test was calculated and ranged from 89 to 100%. A subset of 20 of the most variable strains was tested further under conditions of varying incubation time (15 and 22 h) and inoculum concentration (10(7), 10(5), and 10(3) colony-forming units per ml), and by having four technologists interpret the test results. The reproducibility for each biochemical test for these 20 variable strains ranged from 86 to 99%. Less variation in interpretation by technologists was seen at an incubation time of 22 h and an inoculum concentration of 10(7) colony-forming units per ml. Consideration of the reproducibility for each biochemical test can aid in determining the probability that two isolates suspected of being the same strain, but with API profiles which differ by one or more biochemical test results, are in fact the same strain. Variables such as inoculum size, incubation time, technologist interpretation, and strip variability affect the API test results and should be standardized to minimize their effects.

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