Evidence map›Paper›PMID 32384370›Full record

ArticleThe journal of trauma and acute care surgery2020

Epidemiological trends of surgical admissions to the intensive care unit in the United States.

Victor Vakayil, Nicholas E Ingraham, Alexandria J Robbins, Rebecca Freese, Elise F Northrop, Melissa E Brunsvold, Kathryn M Pendleton, Anthony Charles, Jeffrey G Chipman, Christopher J Tignanelli

Open access · greenAbstract read
In one paragraph

Article in The journal of trauma and acute care surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 28 citations in OpenAlex.

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  13. Discordant Cardiopulmonary Resuscitation and Code Status at Death.Journal of pain and symptom management · 2021
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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

10 authors at 1 institution in 1 country.

Victor VakayilFrom the Department of Surgery (V.V., A.J.R., M.E.B., J.G.C., C.J.T.), University of Minnesota Medical School; School of Public Health (V.V.), University of Minnesota; Department of Medicine (N.E.I., K.M.P.), University of Minnesota Medical School; Biostatistical Design and Analysis Center (R.F., E.F.N.), Clinical and Translational Science Institute, University of Minnesota, Minneapolis, Minnesota; Department of Surgery (A.C.), and School of Public Health (A.C.), University of North Carolina School of Medicine, Chapel Hill, North Carolina; Department of Surgery (C.J.T.), North Memorial Health Hospital, Robbinsdale; Institute of Health Informatics (C.J.T.), University of Minnesota, Minneapolis, Minnesota.
Nicholas E Ingraham
Alexandria J Robbins
Rebecca Freese
Elise F Northrop
Melissa E Brunsvold
Kathryn M Pendleton
Anthony Charles
Jeffrey G Chipman
Christopher J Tignanelli
University of Minnesota · US

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR002494 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R, WEISDORF, DANIEL J · 2018 to 2022
$34.9M
TRAINING-PULMONARY CELL &MOLECULAR BIOLOGY &PHYSIOLOGYT32HL007741 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI DUDLEY, R. ADAMS, INGBAR, DAVID H · 1994 to 2023
$13.9M
Minnesota Learning Health System Mentored Career Development Program (MN-LHS)K12HS026379 · AHRQ · UNIVERSITY OF MINNESOTA · PI BEEBE, TIMOTHY, LINZER, MARK · 2018 to 2022
$2.9M
AHRQ HHS K12 HS026379NCATS NIH HHS UL1 TR002494NHLBI NIH HHS T32 HL007741
6 · The paper itself

Abstract

backgroundEpidemiologic assessment of surgical admissions into intensive care units (ICUs) provides a framework to evaluate health care system efficiency and project future health care needs.

methodsWe performed a 9-year (2008-2016), retrospective, cohort analysis of all adult admissions to 88 surgical ICUs using the prospectively and manually abstracted Cerner Acute Physiology and Chronic Health Evaluation Outcomes database. We stratified patients into 13 surgical cohorts and modeled temporal trends in admission, mortality, surgical ICU length of stay (LOS), and change in functional status (FS) using generalized mixed-effects and Quasi-Poisson models to obtain risk-adjusted outcomes.

resultsWe evaluated 78,053 ICU admissions and observed a significant decrease in admissions after transplant and thoracic surgery, with a concomitant increase in admissions after otolaryngological and facial reconstructive procedures (all p < 0.05). While overall risk-adjusted mortality remained stable over the study period; mortality significantly declined in orthopedic, cardiac, urologic, and neurosurgical patients (all p < 0.05). Cardiac, urologic, gastrointestinal, neurosurgical, and orthopedic admissions showed significant reductions in LOS (all p < 0.05). The overall rate of FS deterioration increased per year, suggesting ICU-related disability increased over the study period.

conclusionTemporal analysis demonstrates a significant change in the type of surgical patients admitted to the ICU over the last decade, with decreasing mortality and LOS in selected cohorts, but an increasing rate of FS deterioration. Improvement in ICU outcomes may highlight the success of health care advancements within certain surgical cohorts, while simultaneously identifying cohorts that may benefit from future intervention. Our findings have significant implications in health care systems planning, including resource and personnel allocation, education, and surgical training. LEVEL OF EVIDENCE: Economic/decision, level IV.Epidemiologic, level IV.

Indexed as

AdultAPACHEFacilities and Services UtilizationFemaleHospital MortalityHumansIntensive Care UnitsLength of StayMaleOutcome Assessment, Health CareRetrospective StudiesSurgical Procedures, OperativeTime FactorsUnited States

Identifiers

PMID32384370
PMCPMC7799916
OpenAlexW3021056756

What OpenQuestion holds

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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.