Evidence map›Paper›PMID 34757412›Full record

ArticleJAMA network open2021

Association of Postoperative Undertriage to Hospital Wards With Mortality and Morbidity.

Tyler J Loftus, Matthew M Ruppert, Tezcan Ozrazgat-Baslanti, Jeremy A Balch, Philip A Efron, Patrick J Tighe, William R Hogan, Parisa Rashidi, Gilbert R Upchurch, Azra Bihorac

Open access · goldAbstract readComparative Study
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 pooled it
2.2field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 3 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Pooled it
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  9. Review
  10. Association of Sociodemographic Factors With Overtriage, Undertriage, and Value of Care After Major Surgery.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Tanaka score predicts surgical intensive care admission following abdominal wall reconstruction.Hernia : the journal of hernias and abdominal wall surgery · 2022
    Article
  15. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Tyler J LoftusDepartment of Surgery, University of Florida Health, Gainesville.
Matthew M RuppertPrecision and Intelligent Systems in Medicine Research Partnership, University of Florida, Gainesville.
Tezcan Ozrazgat-BaslantiPrecision and Intelligent Systems in Medicine Research Partnership, University of Florida, Gainesville.
Jeremy A BalchDepartment of Surgery, University of Florida Health, Gainesville.
Philip A EfronDepartment of Surgery, University of Florida Health, Gainesville.
Patrick J TigheDepartment of Anesthesiology, University of Florida Health, Gainesville.
William R HoganDepartment of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville.
Parisa RashidiPrecision and Intelligent Systems in Medicine Research Partnership, University of Florida, Gainesville.
Gilbert R UpchurchDepartment of Surgery, University of Florida Health, Gainesville.
Azra BihoracPrecision and Intelligent Systems in Medicine Research Partnership, University of Florida, Gainesville.
University of Florida Health · USUniversity of Florida · US

Funding

Perioperative Cognitive Anesthesia Network Extension for Socially Vulnerable Older AdultsK07AG073468 · NIA · UNIVERSITY OF FLORIDA · PI TIGHE, PATRICK J · 2021 to 2025
$774k
Development and Validation of Computational Algorithms to Assess Kidney Health in Electronic Health RecordsK01DK120784 · NIDDK · UNIVERSITY OF FLORIDA · PI OZRAZGAT BASLANTI, TEZCAN · 2020 to 2023
$580k
NIA NIH HHS K07 AG073468NIDDK NIH HHS K01 DK120784
6 · The paper itself

Abstract

Importance: Undertriaging patients who are at increased risk for postoperative complications after surgical procedures to low-acuity hospital wards (ie, floors) rather than highly vigilant intensive care units (ICUs) may be associated with risk of unrecognized decompensation and worse patient outcomes, but evidence for these associations is lacking. Objective: To test the hypothesis that postoperative undertriage is associated with increased mortality and morbidity compared with risk-matched ICU admission. Design, Setting, and Participants: This longitudinal cross-sectional study was conducted using data from the University of Florida Integrated Data Repository on admissions to a university hospital. Included patients were individuals aged 18 years or older who were admitted after a surgical procedure from June 1, 2014, to August 20, 2020. Data were analyzed from April through August 2021. Exposures: Ward admissions were considered undertriaged if their estimated risk for hospital mortality or prolonged ICU stay (ie, ≥48 hours) was in the top quartile among all inpatient surgical procedures according to a validated machine-learning model using preoperative and intraoperative electronic health record features available at surgical procedure end time. A nearest neighbors algorithm was used to identify a risk-matched control group of ICU admissions. Main Outcomes and Measures: The primary outcomes of hospital mortality and morbidity were compared among appropriately triaged ward admissions, undertriaged wards admissions, and a risk-matched control group of ICU admissions. Results: Among 12 348 postoperative ward admissions, 11 042 admissions (89.4%) were appropriately triaged (5927 [53.7%] women; median [IQR] age, 59 [44-70] years) and 1306 admissions (10.6%) were undertriaged and matched with a control group of 2452 ICU admissions. The undertriaged group, compared with the control group, had increased median [IQR] age (64 [54-74] years vs 62 [50-73] years; P = .001) and increased proportions of women (649 [49.7%] women vs 1080 [44.0%] women; P < .001) and admitted patients with do not resuscitate orders before first surgical procedure (53 admissions [4.1%] vs 27 admissions [1.1%]); P < .001); 207 admissions that were undertriaged (15.8%) had subsequent ICU admission. In the validation cohort, hospital mortality and prolonged ICU stay estimations had areas under the receiver operating characteristic curve of 0.92 (95% CI, 0.91-0.93) and 0.92 (95% CI, 0.92-0.92), respectively. The undertriaged group, compared with the control group, had similar incidence of prolonged mechanical ventilation (32 admissions [2.5%] vs 53 admissions [2.2%]; P = .60), decreased median (IQR) total costs for admission ($26 900 [$18 400-$42 300] vs $32 700 [$22 700-$48 500]; P < .001), increased median (IQR) hospital length of stay (8.1 [5.1-13.6] days vs 6.0 [3.3-9.3] days, P < .001), and increased incidence of hospital mortality (19 admissions [1.5%] vs 17 admissions [0.7%]; P = .04), discharge to hospice (23 admissions [1.8%] vs 14 admissions [0.6%]; P < .001), unplanned intubation (45 admissions [3.4%] vs 49 admissions [2.0%]; P = .01), and acute kidney injury (341 admissions [26.1%] vs 477 admissions [19.5%]; P < .001). Conclusions and Relevance: This study found that admitted patients at increased risk for postoperative complications who were undertriaged to hospital wards had increased mortality and morbidity compared with a risk-matched control group of admissions to ICUs. Postoperative undertriage was identifiable using automated preoperative and intraoperative data as features in real-time machine-learning models.

Indexed as

Hospital MortalityAdultAgedAged, 80 and overCross-Sectional StudiesFemaleFloridaHospitals, UniversityHumansIntensive Care UnitsLength of StayLongitudinal StudiesMaleMiddle AgedPatients' RoomsPostoperative Care

Identifiers

PMID34757412
PMCPMC8581722
OpenAlexW3212718889

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Registered trials

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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.