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Related Concept Videos

Deglutition01:25

Deglutition

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Swallowing, otherwise known as deglutition, facilitates the transport of food from the mouth to the stomach. It is a multifaceted process that involves both the tongue and the muscles of the throat and esophagus. Saliva and mucus aid in this process, which takes approximately 4 to 8 seconds for semi-solid or solid food and around 1 second for liquids or very soft food.
Swallowing can be divided into three stages: the voluntary phase, the pharyngeal phase, and the esophageal phase. Although the...
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Related Experiment Video

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Adapting Human Videofluoroscopic Swallow Study Methods to Detect and Characterize Dysphagia in Murine Disease Models
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A predictive model for swallowing dysfunction after oral cancer resection.

A Ferro1, S Basyuni1, R Bosley1

  • 1Department of Oral and Maxillofacial Surgery, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, United Kingdom.

The British Journal of Oral & Maxillofacial Surgery
|September 26, 2021
PubMed
Summary

Identifying patients at risk of postoperative feeding issues can reduce hospital stays. A predictive model using preoperative factors can help streamline care for oral cancer patients, improving patient flow.

Keywords:
Enteral NutritionFeeding Issueshead and neck oncologyreconstruction

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Area of Science:

  • Oncology
  • Surgical Outcomes
  • Health Services Research

Background:

  • Aggressive oral cancer therapy often leads to significant postoperative morbidity, including feeding difficulties.
  • Current reactive referrals for feeding issues increase patient length of stay (LOS) and morbidity.
  • A proactive approach is needed to optimize patient flow and outcomes.

Purpose of the Study:

  • To develop a predictive model for identifying patients likely to experience postoperative feeding issues.
  • To facilitate a preoperative referral pathway for nutritional support.
  • To improve patient flow and reduce length of stay.

Main Methods:

  • Analysis of 203 oral cancer patients referred to a Head and Neck multidisciplinary team meeting over five years.
  • Utilized linear regression to assess the impact of feeding issues multidisciplinary team meeting (FiMDT) referral on LOS.
  • Employed logistic regression to predict FiMDT referral based on preoperative factors.

Main Results:

  • Inpatient FiMDT referral was an independent predictor of increased LOS.
  • Key preoperative predictors for FiMDT referral included tracheostomy, patient age, and alcohol intake.
  • The developed model demonstrated 90% sensitivity and 93.8% specificity.

Conclusions:

  • Inpatient feeding issue multidisciplinary team meeting referral significantly impacts patient length of stay.
  • A robust predictive model for preoperative referral can be established using specific patient factors.
  • Shifting to a preoperative referral pathway can enhance patient flow and potentially reduce morbidity.