Predicting the need for prophylactic gastrostomy in major head and neck cancer surgery: The PEG score.
enteral nutrition
head and neck
machine learning
nomogram
nutritional status
Journal
Head & neck
ISSN: 1097-0347
Titre abrégé: Head Neck
Pays: United States
ID NLM: 8902541
Informations de publication
Date de publication:
12 2023
12 2023
Historique:
revised:
03
09
2023
received:
30
05
2023
accepted:
19
09
2023
medline:
13
11
2023
pubmed:
4
10
2023
entrez:
4
10
2023
Statut:
ppublish
Résumé
To elaborate a preoperative score to predict the necessity of enteral nutrition at 28 days postoperatively in patients undergoing head and neck surgery. A total of 424 patients with oral cavity, oropharyngeal, laryngeal, and hypopharyngeal carcinoma were retrospectively enrolled and analyzed to identify preoperative predictors of prolonged postsurgical enteral feeding which were used to create a prediction model with an easy-to-use nomogram. Five preoperative variables (body mass index, previous radiotherapy, preoperative dysphagia, type of surgery, flap reconstruction) were found to be independent predictive factors and were used to create a prediction model named PEG score together with the related nomogram. Accuracy, F1, and the area under the curve (AUC) were 0.74, 0.83, and 0.74. Different decision thresholds can be used to vary the sensitivity and specificity. The PEG score showed high prediction performances for modeling the need for enteral nutrition at 28 days postoperatively. Prospective studies are needed to define a personalized nutrition protocol.
Sections du résumé
BACKGROUND
To elaborate a preoperative score to predict the necessity of enteral nutrition at 28 days postoperatively in patients undergoing head and neck surgery.
METHODS
A total of 424 patients with oral cavity, oropharyngeal, laryngeal, and hypopharyngeal carcinoma were retrospectively enrolled and analyzed to identify preoperative predictors of prolonged postsurgical enteral feeding which were used to create a prediction model with an easy-to-use nomogram.
RESULTS
Five preoperative variables (body mass index, previous radiotherapy, preoperative dysphagia, type of surgery, flap reconstruction) were found to be independent predictive factors and were used to create a prediction model named PEG score together with the related nomogram. Accuracy, F1, and the area under the curve (AUC) were 0.74, 0.83, and 0.74. Different decision thresholds can be used to vary the sensitivity and specificity.
CONCLUSIONS
The PEG score showed high prediction performances for modeling the need for enteral nutrition at 28 days postoperatively. Prospective studies are needed to define a personalized nutrition protocol.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
3042-3052Informations de copyright
© 2023 Wiley Periodicals LLC.
Références
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