Evidence map›Paper›PMID 39671754›Full record

ArticleJournal of clinical anesthesia2025

Optimizing neuromuscular block monitoring and reversal: A large-scale quality improvement initiative in a diverse healthcare setting.

Pavel Goriacko, Jerry Chao, Philipp Fassbender, Maíra I Rudolph, Paul Beechner, Harshal Shukla, Vicken Yaghdjian, Curtis Choice, Frank Aroh, Mark Sinnett and 2 more

Abstract read
In one paragraph

Article in Journal of clinical anesthesia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Pavel GoriackoCenter for Health Data Innovations, Montefiore Einstein, 3 Odell Plaza, Yonkers, NY 10703, USA; Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Ave, Bronx, NY 10461, USA. Electronic address: pgoriack@montefiore.org.
Jerry ChaoDepartment of Anesthesiology, Montefiore Medical Center, 111 East 210(th) Street, Bronx, NY 10467, USA.
Philipp FassbenderDepartment of Anesthesiology, Montefiore Medical Center, 111 East 210(th) Street, Bronx, NY 10467, USA.
Maíra I RudolphDepartment of Anesthesiology, Montefiore Medical Center, 111 East 210(th) Street, Bronx, NY 10467, USA.
Paul BeechnerCenter for Performance Improvement, Montefiore Network Performance Group, 6 Executive Plaza, Suite 112A, Yonkers, NY 10701, USA.
Harshal ShuklaDepartment of Pharmacy, Montefiore Medical Center, 111 East 210(th) Street, Bronx, NY 10467, USA.
Vicken YaghdjianDepartment of Pharmacy, Montefiore Medical Center, 111 East 210(th) Street, Bronx, NY 10467, USA.
Curtis ChoiceDepartment of Anesthesiology, Montefiore Medical Center, 111 East 210(th) Street, Bronx, NY 10467, USA.
Frank ArohDepartment of Pharmacy, Montefiore Medical Center, 111 East 210(th) Street, Bronx, NY 10467, USA.
Mark SinnettDepartment of Pharmacy, Montefiore Medical Center, 111 East 210(th) Street, Bronx, NY 10467, USA.
Ibraheem M KarayeDepartment of Anesthesiology, Montefiore Medical Center, 111 East 210(th) Street, Bronx, NY 10467, USA.
Matthias EikermannDepartment of Anesthesiology, Montefiore Medical Center, 111 East 210(th) Street, Bronx, NY 10467, USA.

Funding

Einstein-Montefiore Clinical and Translational Science Award HubUM1TR004400 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI Jessica Kahn, Mimi Y Kim · 2023 to 2026
$17.3M
AHRQ HHS K12 HS026396NCATS NIH HHS UM1 TR004400
6 · The paper itself

Abstract

backgroundResidual neuromuscular block (NMB) after anesthesia poses significant risk to patients, which can be reduced by adhering to evidence-based practices for the dosing, monitoring, and reversal of NMB. Incorporation of best practices into routine clinical care remains uneven across providers and institutions, prompting the need for effective implementation strategies.

methodsAn interdisciplinary quality improvement initiative aimed to optimize NMB reversal practices across a large multi-campus urban medical center. Using the Institute for Healthcare Improvement (IHI) framework, interventions were designed to increase Train-of-Four (TOF) monitoring and promote evidence-based and cost-effective use of the NMB reversal agents. Process and outcome measures were tracked through Plan-Do-Study-Act (PDSA) cycles. Qualitative interviews provided insights into clinician perspectives.

resultsThe study encompassed 35,198 surgical cases utilizing NMB agents. The interventions led to a sustained increase in TOF monitoring from 42 % to 83 %. Significant increases were also observed in TOF ratio documentation and utilization of sugammadex. Postoperative respiratory complication rates decreased by 41 % (RR 0.59, 95 % CI 0.32-0.96) over the course of the initiative. The most pronounced increases in TOF monitoring were associated with financial incentives for the achievement of department-wide target monitoring rate.

conclusionThis initiative demonstrates successful large-scale integration of quantitative TOF monitoring and evidence based NMB management across a diverse medical center, while highlighting important barriers in implementation. These findings contribute to the broader discussion on translating evidence into practice, offering insights for improving patient care and safety through tailored implementation strategies.

Indexed as

Delayed Emergence from AnesthesiaNeuromuscular BlockadeNeuromuscular Nondepolarizing AgentsQuality ImprovementFemaleHumansMaleMiddle AgedPostoperative ComplicationsSugammadexNeuromuscular Nondepolarizing AgentsSugammadexImplementation scienceNeuromuscular blockPostoperative respiratory complicationsQuality improvementTrain of four

Identifiers

PMID39671754
PMCPMC11750612

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Registered trials

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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.