Evidence map›Paper›PMID 38370788›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Causes, Diagnostic Testing, and Treatments Related to Clinical Deterioration Events among High-Risk Ward Patients.

Matthew M Churpek, Ryan Ingebritsen, Kyle A Carey, Saieesh A Rao, Emily Murnin, Tonela Qyli, Madeline K Oguss, Jamila Picart, Leena Penumalee, Benjamin D Follman and 9 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. 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, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 5 institutions in 1 country.

Matthew M ChurpekORCID 0000-0002-4030-5250
Ryan Ingebritsen
Kyle A Carey
Saieesh A Rao
Emily Murnin
Tonela Qyli
Madeline K Oguss
Jamila Picart
Leena Penumalee
Benjamin D Follman
Lily K Nezirova
Sean T Tully
Charis Benjamin
Christopher Nye
Emily R Gilbert
Nirav S Shah
Christopher J Winslow
Majid Afshar
Dana P Edelson
University of Wisconsin–Madison · USLoyola University Medical Center · USUniversity of Chicago · USNorthwestern Memorial Hospital · USUniversity of Michigan · US

Funding

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
NHLBI NIH HHS R01 HL157262
6 · The paper itself

Abstract

objectiveTimely intervention for clinically deteriorating ward patients requires that care teams accurately diagnose and treat their underlying medical conditions. However, the most common diagnoses leading to deterioration and the relevant therapies provided are poorly characterized. Therefore, we aimed to determine the diagnoses responsible for clinical deterioration, the relevant diagnostic tests ordered, and the treatments administered among high-risk ward patients using manual chart review.

designMulticenter retrospective observational study.

settingInpatient medical-surgical wards at four health systems from 2006-2020

interventionsNone. MEASUREMENTS AND MAIN

resultsClinical deterioration was confirmed by a trained reviewer or marked as a false alarm if no deterioration occurred for each patient. For true deterioration events, the condition causing deterioration, relevant diagnostic tests ordered, and treatments provided were collected. Of the 4,000 included patients, 2,484 (62%) had clinical deterioration confirmed by chart review. Sepsis was the most common cause of deterioration (41%; n=1,021), followed by arrhythmia (19%; n=473), while liver failure had the highest in-hospital mortality (41%). The most common diagnostic tests ordered were complete blood counts (47% of events), followed by chest x-rays (42%), and cultures (40%), while the most common medication orders were antimicrobials (46%), followed by fluid boluses (34%), and antiarrhythmics (19%).

conclusionsWe found that sepsis was the most common cause of deterioration, while liver failure had the highest mortality. Complete blood counts and chest x-rays were the most common diagnostic tests ordered, and antimicrobials and fluid boluses were the most common medication interventions. These results provide important insights for clinical decision-making at the bedside, training of rapid response teams, and the development of institutional treatment pathways for clinical deterioration. KEY POINTS:

Identifiers

PMID38370788
PMCPMC10871454
OpenAlexW4391579812

What OpenQuestion holds

Textmetadata
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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.