Evidence map›Paper›PMID 35659658›Full record

ArticleJournal of pharmaceutical and biomedical analysis2022

Simultaneous detection of a panel of nine sedatives and metabolites in plasma from critically ill pediatric patients via UPLC-MS/MS.

Jonathan Birabaharan, Raymond E West, Thomas D Nolin, Chani Traube, Michael J Bell, Philip E Empey

Open access · greenAbstract read
In one paragraph

Article in Journal of pharmaceutical and biomedical analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Jonathan BirabaharanDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, USA; Center for Clinical Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, USA.
Raymond E WestDepartment of Pharmacy & Therapeutics, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, USA.
Thomas D NolinDepartment of Pharmacy & Therapeutics, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, USA; Center for Clinical Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, USA.
Chani TraubeDivision of Critical Care Medicine, Weill Cornell Medicine, New York, NY, USA.
Michael J BellDivision of Critical Care Medicine, Children's National Hospital, Washington DC, USA.
Philip E EmpeyDepartment of Pharmacy & Therapeutics, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, USA; Center for Clinical Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, USA. Electronic address: pempey@pitt.edu.
University of Pittsburgh · USChildren's National · USWeill Cornell Medicine · US

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Disparities in COVID Disease Severity and Outcomes in New York CityUL1TR002384 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI JULIANNE L IMPERATO-MCGINLEY · 2017 to 2026
$86.2M
NRSA Training CoreTL1TR001858 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RADOMSKI, THOMAS, RUBIO, DORIS M · 2016 to 2025
$11.1M
Pharmacokinetics of sedatives – Understanding a modifiable risk factor for pediatric deliriumR01HD099284 · NICHD · CHILDREN'S RESEARCH INSTITUTE · PI BELL, MICHAEL J, EMPEY, PHILIP EARLE · 2019 to 2023
$3.2M
Small Molecule Biomarker Core: TSQ Altis LC-MS/MSS10OD028540 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NOLIN, THOMAS DOUGLAS · 2020 to 2020
$429k
NCATS NIH HHS TL1 TR001858NCATS NIH HHS UL1 TR001873NCATS NIH HHS UL1 TR002384NICHD NIH HHS R01 HD099284NIH HHS S10 OD028540
6 · The paper itself

Abstract

Sedative use can result in adverse drug reactions. Intensive care unit patients are especially at risk and pharmacokinetic modeling of drug concentrations is an approach to develop precision dosing strategies. However, limited blood sampling availability in critically ill children and need for multiple assays to quantify a variety of commonly used sedatives creates logistical challenges. The goal of this project was to develop a sensitive and selective assay for the simultaneous quantification of a panel of sedatives comprised of midazolam (MDZ), alpha hydroxymidazolam (1- OH MDZ), dexmedetomidine (DEX), morphine (MOR), morphine-3-glucuronide (M3G), morphine-6-glucuronide (M6G), fentanyl (FEN), norfentanyl (NF), and hydromorphone (HM) in small volume pediatric plasma samples. A sensitive and efficient ultra-high performance liquid chromatography-mass spectrometry (UPLC-MS/MS) method was developed following FDA guidance for bioanalytical validation. Minimal sample preparation consisting of simple protein precipitation extraction using acetonitrile with internal standards was utilized. Analyte separation was achieved using a gradient mixture of (A: 0.15% formic acid in water and B: Acetonitrile) and a Waters Acquity C18, 1.7 µm (2.1 × 100 mm) column. Assays were linear over the clinical concentration ranges: MDZ, MOR, HM: 0.5-125 ng/mL; 1-OH MDZ, M3G, M6G: 5-500 ng/mL; and DEX, FEN, NF: 0.05-7.5 ng/mL (R

Indexed as

Hypnotics and SedativesTandem Mass SpectrometryAcetonitrilesChildChromatography, High Pressure LiquidChromatography, LiquidCritical IllnessHumansMorphineReproducibility of ResultsAcetonitrilesHypnotics and SedativesMorphineCritical careDeliriumLC-MS/MSPediatricsPlasmaSedatives

Identifiers

PMID35659658
PMCPMC9302904
OpenAlexW4281398856

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.