Evidence map›Paper›PMID 32049893›Full record

ArticleTherapeutic drug monitoring2020

A Novel Correction Equation Avoids High-Magnitude Errors in Interpreting Therapeutic Drug Monitoring of Phenytoin Among Critically Ill Patients.

Megan E Barra, Kristy M Phillips, David Y Chung, Eric S Rosenthal

Open access · greenAbstract read
In one paragraph

Article in Therapeutic drug monitoring, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Estimation of Free Phenytoin Concentration in Critically Ill Patients with Hypoalbuminemia: Direct-measurement vs Traditional Equations.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2022
    Article
  3. Article
  4. Review
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

4 authors at 1 institution in 1 country.

Megan E BarraDepartment of Pharmacy, Massachusetts General Hospital.
Kristy M PhillipsDepartment of Pharmacy, Massachusetts General Hospital.
David Y ChungDivision of Neurocritical Care, Massachusetts General Hospital; and.
Eric S RosenthalDivision of Neurocritical Care, Massachusetts General Hospital; and.
Massachusetts General Hospital · US

Funding

Neuroscience Resident Research ProgramR25NS065743 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CASH, SYDNEY S, WILLIAMS, ZIV · 2009 to 2023
$11.8M
Institutional Career Development CoreKL2TR002542 · NCATS · HARVARD MEDICAL SCHOOL · PI BREDELLA, MIRIAM ANTOINETTE, RUTKOVE, SEWARD B. · 2018 to 2022
$8.7M
Determinants of Functional Brain Connectivity After Subarachnoid HemorrhageK08NS112601 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CHUNG, DAVID YOUNG · 2019 to 2023
$1.0M
Real-Time Prediction of Delayed Cerebral Ischemia after Subarachnoid HemorrhageK23NS105950 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI ROSENTHAL, ERIC S. · 2018 to 2022
$1.0M
NCATS NIH HHS KL2 TR002542NINDS NIH HHS K08 NS112601NINDS NIH HHS K23 NS105950NINDS NIH HHS R25 NS065743
6 · The paper itself

Abstract

backgroundPhenytoin has a narrow therapeutic index and the potential of under-treatment or toxicity. Available equations are used to correct for the impact of hypoalbuminemia on unbound (free) phenytoin levels. The authors aimed to determine the accuracy of equations used to estimate free phenytoin in hospitalized patients and assess the impact of using additional clinical data.

methodsConcurrently measured total and free phenytoin levels in hospitalized patients (2014-2018) were retrospectively evaluated, excluding those from patients on renal replacement therapy and valproic acid. Differences between actual and estimated free phenytoin levels by the original (Original WTZ), Anderson-modified, and Kane-modified Winter-Tozer equations were assessed using Pearson correlations and Bland-Altman analysis. Thereafter, a population-derived formula was developed and validated in a testing cohort.

resultsIn the 4-year training cohort (n = 81), the Original WTZ equation had the smallest mean difference of all equations. A higher mean difference [-0.362 mcg/mL (95% CI -0.585 to -0.138) vs. -0.054 mcg/mL (95% CI -0.186 to 0.078)] was observed in intensive care unit (ICU) patients compared with non-ICU patients. A cross-validated multivariable model improved the accuracy of free phenytoin estimation in ICU and non-ICU patients, even in the separate testing cohort (n = 52) with respective mean differences of -0.322 mcg/mL (95% CI -0.545 to -0.098) and -0.025 mcg/mL (95% CI -0.379 to 0.329) and was superior to the Original WTZ [mean difference -0.858 mcg/mL (95% CI -1.069 to -0.647) vs. -0.106 mcg/mL (95% CI -0.362 to 0.151), respectively].

conclusionsFree phenytoin levels in hospitalized patients cannot be accurately determined using available estimation equations, particularly in critically ill patients. Combining ICU status and other available clinical data can improve therapeutic drug monitoring and prevent high-magnitude errors, particularly when free phenytoin assays are not readily available.

Indexed as

AdultAgedAged, 80 and overAnticonvulsantsCritical CareCritical IllnessDrug MonitoringFemaleHumansHypoalbuminemiaIntensive Care UnitsMaleMiddle AgedPhenytoinRetrospective StudiesValproic AcidAnticonvulsantsPhenytoinValproic Acid

Identifiers

PMID32049893
PMCPMC7377971
OpenAlexW3006138545

What OpenQuestion holds

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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.