ArticleThe Annals of otology, rhinology, and laryngology2022
Above and Beyond Age: Prediction of Major Postoperative Adverse Events in Head and Neck Surgery.
Article in The Annals of otology, rhinology, and laryngology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.
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14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 18 citations in OpenAlex.
- Prognosing post-treatment outcomes of head and neck cancer using structured data and machine learning: A systematic review.PloS one · 2024Pooled it
- Prediction of Complications and Prognostication in Perioperative Medicine: A Systematic Review and PROBAST Assessment of Machine Learning Tools.Anesthesiology · 2024Pooled it
- Current role of artificial intelligence in head and neck cancer surgery: a systematic review of literature.Exploration of targeted anti-tumor therapy · 2023Pooled it
- Role of artificial intelligence in head and neck surgery - A narrative review.Turkish journal of surgery · 2026Article
- Artificial Intelligence in Head and Neck Surgical Oncology: A State-of-the-Art Review.Journal of clinical medicine · 2026Review
- Interpretable machine learning model for predicting postoperative hypoproteinemia in middle-aged and elderly patients following total joint arthroplasty: a multicenter retrospective study.Frontiers in nutrition · 2026Article
- Artificial Intelligence in Patient Blood Management: A Systematic Review of Predictive, Diagnostic, and Decision Support Applications.Journal of clinical medicine · 2025Review
- Modified 5-Item Frailty Index and Postoperative Outcomes Following Parotidectomy for Malignancy.Laryngoscope investigative otolaryngology · 2025Article
- Inconsistent Associations of Modified Frailty Index-5 With Adverse Head and Neck Reconstruction Outcomes.The Laryngoscope · 2025Article
- Predictive efficacy of rectus abdominis muscle and psoas major muscle thickness for postoperative morbidity in patients with endometrial cancer.Journal of the Turkish German Gynecological Association · 2025Article
- Artificial Intelligence Assurance in Head and Neck Surgery: Now and Next.Proceedings. IEEE International Symposium on Computer-Based Medical Systems · 2025Article
- Preoperative Hypoalbuminemia Predicts 30-day Complications in Head and Neck Microvascular Surgery.The Laryngoscope · 2025Article
- Elective Surgery Trends and Outcomes of Nonagenarians and Centenarians in Otolaryngology-Head and Neck Surgery: A NSQIP Study.The Laryngoscope · 2024Article
- Neutrophil-to-lymphocyte ratio as a predictor of surgical outcomes in head and neck cancer.Head & neck · 2023Article
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Authors and funding
12 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveMajor postoperative adverse events (MPAEs) following head and neck surgery are not infrequent and lead to significant morbidity. The objective of this study was to ascertain which factors are most predictive of MPAEs in patients undergoing head and neck surgery.
methodsA cohort study was carried out based on data from patients registered in the National Surgical Quality Improvement Program (NSQIP) from 2006 to 2018. All patients undergoing non-ambulatory head and neck surgery based on Current Procedural Terminology codes were included. Perioperative factors were evaluated to predict MPAEs within 30-days of surgery. Age was classified as both a continuous and categorical variable. Retained factors were classified by attributable fraction and C-statistic. Multivariate regression and supervised machine learning models were used to quantify the contribution of age as a predictor of MPAEs.
resultsA total of 43 701 operations were analyzed with 5106 (11.7%) MPAEs. The results of supervised machine learning indicated that prolonged surgeries, anemia, free tissue transfer, weight loss, wound classification, hypoalbuminemia, wound infection, tracheotomy (concurrent with index head and neck surgery), American Society of Anesthesia (ASA) class, and sex as most predictive of MPAEs. On multivariate regression, ASA class (21.3%), hypertension on medication (15.8%), prolonged operative time (15.3%), sex (13.1%), preoperative anemia (12.8%), and free tissue transfer (9%) had the largest attributable fractions associated with MPAEs. Age was independently associated with MPAEs with an attributable fraction ranging from 0.6% to 4.3% with poor predictive ability (C-statistic 0.60).
conclusionSurgical, comorbid, and frailty-related factors were most predictive of short-term MPAEs following head and neck surgery. Age alone contributed a small attributable fraction and poor prediction of MPAEs. LEVEL OF EVIDENCE: 3.
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