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Association of Postoperative Undertriage to Hospital Wards With Mortality and Morbidity
Tyler J Loftus1,2, Matthew M Ruppert2,3, Tezcan Ozrazgat-Baslanti2,3
1Department of Surgery, University of Florida Health, Gainesville.
Insights
Patients undertriaged to hospital wards after surgery face higher mortality and morbidity. Machine learning models can identify these high-risk patients for better care allocation, improving postoperative outcomes.
Area of Science:
- Medical Informatics
- Surgical Outcomes Research
- Critical Care Medicine
Background:
- Undertriage of high-risk surgical patients to general wards instead of ICUs may lead to adverse outcomes.
- Evidence linking undertriage to increased mortality and morbidity is limited.
Purpose of the Study:
- To evaluate the association between postoperative undertriage and patient outcomes.
- To compare mortality and morbidity in undertriaged patients versus risk-matched ICU admissions.
Main Methods:
- A longitudinal, cross-sectional study using electronic health record data from a university hospital (2014-2020).
- A validated machine-learning model identified undertriaged ward admissions based on risk for mortality or prolonged ICU stay.
- A nearest neighbors algorithm matched undertriaged patients with ICU admissions for comparison.
Main Results:
- Of 12,348 ward admissions, 10.6% were undertriaged. Undertriaged patients had increased hospital mortality (1.5% vs 0.7%), unplanned intubation (3.4% vs 2.0%), and acute kidney injury (26.1% vs 19.5%) compared to matched ICU controls.
- Undertriaged patients experienced longer hospital stays (8.1 vs 6.0 days) but lower total costs.
- Machine learning models demonstrated high accuracy (AUC 0.92) in predicting mortality and prolonged ICU stay.
Conclusions:
- Postoperative undertriage to general hospital wards is associated with significantly increased mortality and morbidity.
- Machine learning models can accurately identify undertriaged surgical patients in real-time using electronic health record data.
- These findings highlight the need for improved risk stratification and care allocation for surgical patients to prevent adverse outcomes.
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.
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