Evidence map›Paper›PMID 36349290›Full record

ArticleCritical care explorations2022

Association of Time to Rapid Response Team Activation With Patient Outcomes Using a Range of Physiologic Deterioration Thresholds.

Oscar J L Mitchell, Stacie Neefe, Jennifer C Ginestra, William D Schweickert, Scott Falk, Gary E Weissman, Donna Covin, Justine Shults, Benjamin S Abella, Michael G S Shashaty

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Critical care explorations, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 31% 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, 4 citations in OpenAlex.

  1. Article
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  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Oscar J L MitchellDivision of Pulmonary, Allergy, and Critical Care, Department of Medicine, University of Pennsylvania, Philadelphia, PA.
Stacie NeefeDivision of Pulmonary, Allergy, and Critical Care, Department of Medicine, University of Pennsylvania, Philadelphia, PA.
Jennifer C GinestraDivision of Pulmonary, Allergy, and Critical Care, Department of Medicine, University of Pennsylvania, Philadelphia, PA.
William D SchweickertDivision of Pulmonary, Allergy, and Critical Care, Department of Medicine, University of Pennsylvania, Philadelphia, PA.
Scott FalkDepartment of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, PA.
Gary E WeissmanDivision of Pulmonary, Allergy, and Critical Care, Department of Medicine, University of Pennsylvania, Philadelphia, PA.
Donna CovinPenn Medicine Princeton Health, Plainsboro, NJ.
Justine ShultsCenter for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA.
Benjamin S AbellaDepartment of Emergency Medicine, Center for Resuscitation Science, Philadelphia, PA.
Michael G S ShashatyDivision of Pulmonary, Allergy, and Critical Care, Department of Medicine, University of Pennsylvania, Philadelphia, PA.
University of Pennsylvania · USChildren's Hospital of Philadelphia · USUniversity of Pennsylvania Health System · US

Funding

Cardiology & pulmonary research training grantT32HL007891 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Jason D Christie · 1998 to 2026
$12.0M
Training in Critical Care Health Policy ResearchT32HL098054 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Scott D Halpern · 2010 to 2026
$8.2M
NHLBI NIH HHS T32 HL007891NHLBI NIH HHS T32 HL098054
6 · The paper itself

Abstract

Clinical deterioration of hospitalized patients is common and can lead to critical illness and death. Rapid response teams (RRTs) assess and treat high-risk patients with signs of clinical deterioration to prevent further worsening and subsequent adverse outcomes. Whether activation of the RRT early in the course of clinical deterioration impacts outcomes, however, remains unclear. We sought to characterize the relationship between increasing time to RRT activation after physiologic deterioration and short-term patient outcomes.

designRetrospective multicenter cohort study.

settingThree academic hospitals in Pennsylvania. PATIENTS: We included the RRT activation of a hospitalization for non-ICU inpatients greater than or equal to 18 years old.

interventionsNone. MEASUREMENTS AND MAIN

resultsThe primary exposure was time to RRT activation after physiologic deterioration. We selected four Cardiac Arrest Risk Triage (CART) score thresholds a priori from which to measure time to RRT activation (CART score ≥ 12, ≥ 16, ≥ 20, and ≥ 24). The primary outcome was 7-day mortality-death or discharge to hospice care within 7 days of RRT activation. For each CART threshold, we modeled the association of time to RRT activation duration with 7-day mortality using multivariable fractional polynomial regression. Increased time from clinical decompensation to RRT activation was associated with higher risk of 7-day mortality. This relationship was nonlinear, with odds of mortality increasing rapidly as time to RRT activation increased from 0 to 4 hours and then plateauing. This pattern was observed across several thresholds of physiologic derangement.

conclusionsIncreasing time to RRT activation was associated in a nonlinear fashion with increased 7-day mortality. This relationship appeared most marked when using a CART score greater than 20 threshold from which to measure time to RRT activation. We suggest that these empirical findings could be used to inform RRT delay definitions in further studies to determine the clinical impact of interventions focused on timely RRT activation.

Indexed as

cardiac arrestdecompensationdeteriorationearly warning scoresrapid response teams

Identifiers

PMID36349290
PMCPMC9635041
OpenAlexW4308679515

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.