Evidence map›Paper›PMID 36248315›Full record

ArticleCritical care explorations2022

Association Between Critical Events in the PICU and Outcomes in Neighboring Patients.

Ahmed Arshad, Catherine Blandon, Kyle Carey, Philip Verhoef, Priti Jani, Samuel Volchenboum, Matthew Churpek, Anoop Mayampurath

Open access · goldAbstract read
PubMed Full text at PMC Publisher
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
0.3field-weighted citation impact, top 41% 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, 1 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

8 authors at 3 institutions in 1 country.

Ahmed ArshadDepartment of Pediatrics, University of Chicago, Chicago, IL.
Catherine BlandonDepartment of Pediatrics, University of Chicago, Chicago, IL.
Kyle CareyDepartment of Medicine, University of Chicago, Chicago, IL.
Philip VerhoefHawaii Permanente Medical Group, Honolulu, HI.
Priti JaniDepartment of Pediatrics, University of Chicago, Chicago, IL.
Samuel VolchenboumDepartment of Pediatrics, University of Chicago, Chicago, IL.
Matthew ChurpekDepartment of Medicine, University of Wisconsin-Madison, Madison, WI.
Anoop MayampurathDepartment of Pediatrics, University of Chicago, Chicago, IL.
University of Chicago · USHawaii Permanente Medical Group · USUniversity of Wisconsin–Madison · US

Funding

Using Machine Learning for Early Recognition and Personalized Treatment of Acute Kidney InjuryR01DK126933 · NIDDK · UNIVERSITY OF CHICAGO · PI CHURPEK, MATTHEW MICHAEL, KOYNER, JAY L · 2021 to 2025
$3.4M
Using causal machine learning for personalized treatment recommendations in critically ill patientsR01HL157262 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI Matthew Michael Churpek · 2021 to 2026
$3.1M
Sepsis Early Prediction and Subphenotype Illumination Study (SEPSIS)R01GM123193 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI CHURPEK, MATTHEW MICHAEL · 2017 to 2021
$1.9M
Using Machine Learning to Predict Clinical Deterioration in Hospitalized ChildrenK01HL148390 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI MAYAMPURATH, ANOOP · 2019 to 2023
$738k
NHLBI NIH HHS K01 HL148390NHLBI NIH HHS R01 HL157262NIDDK NIH HHS R01 DK126933NIGMS NIH HHS R01 GM123193
6 · The paper itself

Abstract

PICU patients who experience critical illness events, such as intubation, are at high risk for morbidity and mortality. Little is known about the impact of these events, which require significant resources, on outcomes in other patients. Therefore, we aimed to assess the association between critical events in PICU patients and the risk of similar events in neighboring patients over the next 6 hours.

designRetrospective observational cohort study.

settingQuaternary care PICU at the University of Chicago. PATIENTS: All children admitted to the PICU between 2012 and 2019.

interventionsNone. MEASUREMENTS AND MAIN

resultsThe primary outcome was a critical event defined as the initiation of invasive ventilation, initiating vasoactive medications, cardiac arrest, or death. The exposure was the occurrence of a critical event among other patients in the PICU within the preceding 6 hours. Discrete-time survival analysis using fixed 6-hour blocks beginning at the time of PICU admission was used to model the risk of experiencing a critical event in the PICU when an event occurred in the prior 6 hours. There were 13,628 admissions, of which 1,886 (14%) had a critical event. The initiation of mechanical ventilation was the most frequent event (

conclusionCritical events in PICU patients are associated with decreased risk of similar events in neighboring patients. Further studies targeted toward exploring the mechanism behind this effect as well as identification of other nonpatient factors that adversely affect outcomes in children are warranted.

Indexed as

electronic health recordsintensive care unitquality improvementrisk assessment

Identifiers

PMID36248315
PMCPMC9553377
OpenAlexW4304141173

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.