Evidence map›Paper›PMID 34498206›Full record

Observational studyNeurocritical care2022

Pre Versus Post Implementation of a Pharmacologic Antishivering Protocol During Targeted Temperature Management Following Cardiac Arrest.

Calvin Huynh, Jevons Lui, Vala Behbahani, Ashley Thompson Quan, Amanda Morris, Laura Baumgartner

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Neurocritical care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. 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 4 institutions in 1 country.

Calvin HuynhDepartment of Pharmaceutical Services, University of California, San Francisco Medical Center, San Francisco, CA, USA. Calvin.Huynh@ucsf.edu.ORCID 0000-0002-5220-406X
Jevons LuiSutter Eden Medical Center, Castro Valley, CA, USA.
Vala BehbahaniRWJBarnabas Health, Livingston, NJ, USA.
Ashley Thompson QuanDepartment of Pharmaceutical Services, University of California, San Francisco Medical Center, San Francisco, CA, USA.
Amanda MorrisDepartment of Pharmaceutical Services, University of California, San Francisco Medical Center, San Francisco, CA, USA.
Laura BaumgartnerDepartment of Clinical Sciences, Touro University California College of Pharmacy, Vallejo, CA, USA.
University of California San Francisco Medical Center · USEden Medical Center · USSaint Barnabas Medical Center · USTouro University California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTargeted temperature management (TTM) is endorsed by various guidelines to improve neurologic outcomes following cardiac arrest. Shivering, a consequence of hypothermia, can counteract the benefits of TTM. Despite its frequent occurrence, consensus guidelines provide minimal guidance on the management of shivering. The purpose of this study was to evaluate the impact of a pharmacologic antishivering protocol in patients undergoing TTM following cardiac arrest on the incidence of shivering.

methodsA retrospective observational cohort study at a large academic medical center of adult patients who underwent TTM targeting 33 °C following out-of-hospital (OHCA) or in-hospital cardiac arrest (IHCA) was conducted between January 2013 and January 2019. Patients were included in the preprotocol group if they received TTM prior to the initiation of a pharmacologic antishivering protocol in 2015. The primary outcome was incidence of shivering between pre- and postprotocol patients. Secondary outcomes included time from arrest (IHCA) or admission to the hospital (OHCA) to goal body temperature, total time spent at goal body temperature, and percentage of patients alive at discharge. All pharmacologic agents listed as part of the antishivering protocol were recorded.

resultsFifty-one patients were included in the preprotocol group, and 80 patients were included in the postprotocol group. There were no significant differences in baseline characteristics between the groups, including percentage of patients experiencing OHCA (75% vs. 63%, p = 0.15) and time from arrest to return of spontaneous circulation (17.5 vs. 17.9 min, p = 0.96). Incidence of patients with shivering was significantly reduced in the postprotocol group (57% vs. 39%, p = 0.03). Time from arrest (IHCA) or admission to the hospital (OHCA) to goal body temperature was similar in both groups (5.1 vs. 5.3 h, p = 0.57), in addition to total time spent at goal body temperature (17.7 vs. 18 h, p = 0.93). The percentage of patients alive at discharge was significantly improved in the postprotocol group (35% vs. 55%, p = 0.02). Patients in the postprotocol group received significantly more buspirone (4% vs. 73%, p < 0.01), meperidine (8% vs. 34%, p < 0.01), and acetaminophen (12% vs. 65%, p < 0.01) as part of the pharmacologic antishivering protocol. Use of neuromuscular blockade significantly decreased post protocol (19% vs. 6%, p = 0.02).

conclusionsIn patients undergoing TTM following cardiac arrest, the implementation of a pharmacologic antishivering protocol reduced the incidence of shivering and the use neuromuscular blocking agents. Prospective data are needed to validate the results and further evaluate the safety and efficacy of an antishivering protocol on clinical outcomes.

Indexed as

Cardiopulmonary ResuscitationHypothermia, InducedOut-of-Hospital Cardiac ArrestAdultHumansObservational Studies as TopicProspective StudiesRetrospective StudiesInduced hypothermiaPost cardiac arrest syndromeShiveringSudden cardiac death

Identifiers

PMID34498206
PMCPMC8964655
OpenAlexW3198808171

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.