Evidence map›Paper›PMID 36003829›Full record

ArticleCritical care explorations2022

Advanced Triage Protocol: The Role of an Automated Lactate Order in Expediting Rapid Identification of Patients at Risk of Sepsis in the Emergency Department.

Andrew Baum, Brendan G Carr, Sarah M Perman, Jennifer Barger, Munish Goyal, David F Gaieski

Open 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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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 5 institutions in 1 country.

Andrew BaumUS Acute Care Solutions, Canton, OH.
Brendan G CarrDepartment of Emergency Medicine, Mount Sinai School of Medicine, New York, NY.
Sarah M PermanDepartment of Emergency Medicine, University of Colorado School of Medicine, Aurora, CO.
Jennifer BargerDepartment of Emergency Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
Munish GoyalDepartment of Emergency Medicine, Georgetown University School of Medicine, Washington, DC.
David F GaieskiDepartment of Emergency Medicine, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA.
Georgetown University · USIcahn School of Medicine at Mount Sinai · USThomas Jefferson University · USUniversity of Colorado Denver · USUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We undertook a process improvement initiative to expedite rapid identification of potential sepsis patients based on triage chief complaint, vital signs, and initial lactate level.

designProspective cohort study.

settingSeven hundred-bed tertiary care hospital with ≅65,000 patient visits/yr. PATIENTS: Patients presenting to emergency department (ED) triage who met the following criteria: greater than or equal to two of the three systemic inflammatory response syndrome criteria assessable in triage, a chief complaint suggestive of infection, emergency severity index 2 or 3, and ambulatory to ED.

interventionsA computer-generated lactate order was created, staff education and resources increased, and point-of-care lactate testing was introduced. MEASUREMENTS AND MAIN

resultsPrimary endpoints include the following: percent of patients having a lactate level drawn, percent of lactate samples resulting before room placement, and time intervals from triage to lactate blood draw and to lactate result. Secondary endpoints were percentage of patients admitted to the hospital, percentage admitted to the ICU, and in-hospital mortality. Six thousand nine hundred six patients were included: 226 historic controls (HCs) and 6,680 intervention group patients. The mean serum lactate level was 1.77 ± 1.18 mmol/L. The percentage of patients having a lactate resulted increased from 27.4% in the HC period to 79.6%. The percentage of these lactate results available while the patient was still in the waiting room increased from 0.4% during the HC period to 33.7% during Phase 5 (

conclusionsImplementation of a computerized lactate order using readily available data obtained during ED triage, combined with point-of-care lactate testing, improves time to lactate blood draw and lactate result in patients at risk for severe sepsis. Initial lactate levels correlated with admission to the hospital, admission to the ICU, and in-hospital mortality.

Indexed as

assessmentearly detectionlactic acidrisksepsis

Identifiers

PMID36003829
PMCPMC9394690
OpenAlexW4292980111

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.