Evidence map›Paper›PMID 40162266›Full record

ArticlemedRxiv : the preprint server for health sciences2025

The Epidemiology of Intensive Care Unit Readmissions Across Ten Health Systems.

Saki Amagai, Vaishvik Chaudhari, Kaveri Chhikara, Nicholas E Ingraham, Chad H Hochberg, Anna K Barker, Chengsheng Mao, Alexander C Ortiz, Gary E Weissman, Benjamin E Schmid and 12 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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.

No citing paper in PubMed yet.

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

22 authors.

Saki AmagaiDivision of Health and Biomedical Informatics, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL.ORCID 0000-0002-2825-4219
Vaishvik ChaudhariDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, Rush University, Chicago, IL.ORCID 0009-0006-7507-6634
Kaveri ChhikaraDivision of Pulmonary and Critical Care, Department of Medicine, University of Chicago, Chicago, IL.ORCID 0009-0003-0856-6885
Nicholas E IngrahamDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN.ORCID 0000-0002-0292-0594
Chad H HochbergDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University, Baltimore, MD.ORCID 0000-0002-4376-5754
Anna K BarkerDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI.ORCID 0000-0003-0719-6838
Chengsheng MaoDivision of Health and Biomedical Informatics, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL.ORCID 0000-0002-1515-9626
Alexander C OrtizDivision of Pulmonary, Allergy, and Critical Care Division, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Gary E WeissmanPalliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.ORCID 0000-0001-9588-3819
Benjamin E SchmidPalliative and Advanced Illness Research (PAIR) Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Megan SchwinneDepartment of Biomedical Informatics, Emory University School of Medicine, Atlanta, GA.ORCID 0009-0004-6719-8821
Sivasubramanium V BhavaniDivision of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, GA.
Shan GuleriaDivision of Pulmonary and Critical Care, Department of Medicine, University of Chicago, Chicago, IL.
Zewei LiaoDivision of Pulmonary and Critical Care, Department of Medicine, University of Chicago, Chicago, IL.
Nikolay MarkovDivision of Pulmonary and Critical Care, Northwestern University Feinberg School of Medicine, Chicago, IL.
Patrick G LyonsDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Oregon Health & Science University, Portland, OR.
Brenna Park-EganDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Oregon Health & Science University, Portland, OR.
CLIF Consortium
William F ParkerDivision of Pulmonary and Critical Care, Department of Medicine, University of Chicago, Chicago, IL.
Yuan LuoDivision of Health and Biomedical Informatics, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL.
Juan C RojasDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, Rush University, Chicago, IL.
Catherine A GaoDivision of Pulmonary and Critical Care, Northwestern University Feinberg School of Medicine, Chicago, IL.ORCID 0000-0001-5576-3943

Funding

Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
Cardiology & pulmonary research training grantT32HL007891 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Jason D Christie · 1998 to 2026
$12.0M
CRITICAL: Collaborative Resource for Intensive care Translational science, Informatics, Comprehensive Analytics, and LearningU01TR003528 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI CIMINO, JAMES J, LUO, YUAN · 2021 to 2024
$4.9M
Data Driven Strategies for Substance Misuse Identification in Hospitalized PatientsR01DA051464 · NIDA · UNIVERSITY OF WISCONSIN-MADISON · PI Majid Afshar · 2020 to 2026
$4.5M
Improving the efficiency and equity of critical care allocation during a crisis with place-based disadvantage indicesR01LM014263 · NLM · UNIVERSITY OF CHICAGO · PI William F Parker · 2023 to 2026
$2.0M
Modeling the Incompleteness and Biases of Health DataR01LM013337 · NLM · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LUO, YUAN · 2020 to 2023
$1.3M
Improving sepsis care with AI-based clinical decision supportR35GM155262 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI Gary Weissman · 2024 to 2026
$1.2M
Identification of Precision Sepsis Subphenotypes Using Vital Sign TrajectoriesK23GM144867 · NIGMS · EMORY UNIVERSITY · PI BHAVANI, SIVASUBRAMANIUM · 2021 to 2025
$890k
SPOT-IT: Sepsis Prediction in Oncology Through Implementation Science and TechnologyK08CA270383 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Patrick G Lyons · 2024 to 2026
$851k
Sustainable Implementation of Prone Positioning for the Acute Respiratory Distress SyndromeK23HL169743 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Chad Hochberg · 2023 to 2026
$716k
Mending a Broken Heart Allocation System with Machine LearningK08HL150291 · NHLBI · UNIVERSITY OF CHICAGO · PI PARKER, WILLIAM F · 2020 to 2024
$713k
Identifying Areas to Improve ICU Outcomes through Provider VariationK23HL166783 · NHLBI · UNIVERSITY OF MINNESOTA · PI Nicholas E Ingraham · 2023 to 2026
$645k
American Heart Association-American Stroke Association 24PRE1196998NCATS NIH HHS U01 TR003528NCATS NIH HHS UL1 TR002378NCI NIH HHS K08 CA270383NHLBI NIH HHS K08 HL150291NHLBI NIH HHS K23 HL166783NHLBI NIH HHS K23 HL169743NHLBI NIH HHS K23 HL169815NHLBI NIH HHS T32 HL007891NIDA NIH HHS R01 DA051464NIGMS NIH HHS K23 GM144867NIGMS NIH HHS R35 GM155262NLM NIH HHS R01 LM013337NLM NIH HHS R01 LM014263
6 · The paper itself

Abstract

Background: ICU readmissions are associated with increased morbidity, mortality, and healthcare costs. As ICU patient complexity increases and care practices evolve, the contemporary epidemiology of ICU readmissions remains unclear. We aimed to examine ICU readmission rates and timing across multiple health systems, focusing on unplanned readmissions occurring within 24, 48, and 72 hours after ICU discharge. Methods: We performed a retrospective cohort study using federated data from the Common Longitudinal ICU data Format (CLIF) Consortium, comprising nine healthcare systems between January 2020 and December 2021 and the MIMIC-IV database. The cohort included adult patients (≥18 years) discharged alive from the ICU. Readmissions following planned surgeries or interventional procedures were excluded. Data were analyzed locally at each site without centralizing patient-level data, and analyses focused on patient demographics, discharge disposition, readmission timing, and clinical interventions during ICU stays and readmissions. Statistical comparisons were performed using two-proportion z-tests and chi-squared tests. Results: Among 185,241 hospital admissions across 19 hospitals, 8.6% of ICU discharges were readmitted during the same hospitalization. Unplanned readmissions occurred within 24 hours in 1.9% of cases, 3.4% within 48 hours, and 4.5% within 72 hours. Readmitted patients experienced higher in-hospital mortality (20.6% vs. 2.1%, p<0.001). Compared to the initial ICU stay, ICU readmissions were associated with significantly increased respiratory (42.3% vs. 35.3%, p<0.001) and vasopressor support (26.1% vs. 23.1%, p<0.001). Conclusions: ICU readmissions remain common and are linked to worse outcomes. Readmissions require more respiratory and vasopressor support. Future work should focus on characterizing these subphenotypes and improving ICU discharge processes to reduce preventable readmissions.

Identifiers

PMID40162266
PMCPMC11952636

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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.