ArticleJAMA network open2021
Association of Postoperative Undertriage to Hospital Wards With Mortality and Morbidity.
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.
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Who cites it
15 citing papers in PubMed, 3 syntheses or guidelines pooled it, 23 citations in OpenAlex.
- Risk assessment and prevention of postoperative and postprocedural respiratory failure: recommendations from an international expert panel.British journal of anaesthesia · 2026Guideline
- Outcomes following extended postoperative recovery unit admission in noncardiac surgery: A systematic review and meta-analysis.European journal of anaesthesiology · 2025Pooled it
- A bibliometric analysis of perioperative rehabilitation research between 2005 and 2024.Frontiers in rehabilitation sciences · 2025Pooled it
- Maternal Intensive Care Unit Utilization by Mode of Delivery in the United States: A Retrospective Cohort Study.Anesthesia and analgesia · 2026Article
- Article
- Joint effects of triglyceride-glucose-BMI and stress hyperglycemia ratio on all-cause mortality in trauma surgical intensive care patients: a multicenter cohort study.Lipids in health and disease · 2026Article
- Mapping the landscape: a comprehensive bibliometric analysis of transversus abdominis plane block research (2007-2024).International journal of surgery (London, England) · 2026Article
- Undertriage of Severe Geriatric Trauma Patients: Who Are We Missing?Yonsei medical journal · 2025Article
- Diagnosis to dissection: AI's role in early detection and surgical intervention for gastric cancer.Journal of robotic surgery · 2024Review
- 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 · 2024Article
- Analysing Factors Prolonging Hospital Stay After Excision of Choledochal Cyst-A Pathway Towards Enhanced Recovery After Surgery.World journal of surgery · 2023Article
- Development of an automated, general-purpose prediction tool for postoperative respiratory failure using machine learning: A retrospective cohort study.Journal of clinical anesthesia · 2023Article
- Building an automated, machine learning-enabled platform for predicting post-operative complications.Physiological measurement · 2023Article
- Tanaka score predicts surgical intensive care admission following abdominal wall reconstruction.Hernia : the journal of hernias and abdominal wall surgery · 2022Article
- Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Predict Postoperative Complications and Report on a Mobile Platform.JAMA network open · 2022Article
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10 authors at 2 institutions in 1 country.
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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.
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