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  1. Home
  3. Development And Validation Of A Novel Nomogram Model For Identifying Risk Of Prolonged Length Of Stay Among Patients Receiving Free Vascularized Flap Reconstruction Of Head And Neck Cancer.
  1. Home
  3. Development And Validation Of A Novel Nomogram Model For Identifying Risk Of Prolonged Length Of Stay Among Patients Receiving Free Vascularized Flap Reconstruction Of Head And Neck Cancer.

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Development and validation of a novel nomogram model for identifying risk of prolonged length of stay among patients

Chengli Wang1,2,3, Liling Lin1,2, Jiayao Wu4

  • 1Department of Anesthesiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.

Frontiers in Oncology
|May 20, 2024

View abstract on PubMed

Summary
This summary is machine-generated.
Keywords:
free vascularized flaphead and neck cancerlength of hospital staynomogramreconstruction

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This study developed a nomogram to predict prolonged length of stay (PLOS) in head and neck cancer patients undergoing free vascularized flap reconstruction. The model accurately identifies patients at risk, aiding clinical decision-making.

Area of Science:

  • Oncology
  • Surgical Reconstruction
  • Medical Informatics

Background:

  • Head and neck cancer (HNC) patients undergoing free vascularized flap reconstruction often experience prolonged length of stay (PLOS).
  • Accurate prediction of PLOS is crucial for resource allocation and patient management.

Purpose of the Study:

  • To develop and internally validate a nomogram model for predicting PLOS in HNC patients.
  • To identify key risk factors associated with PLOS in this patient population.

Main Methods:

  • Retrospective analysis of 1047 HNC patients who underwent free vascularized flap reconstruction (January 2011-January 2019).
  • Multivariate logistic regression analysis to identify predictors of PLOS.
  • Internal validation using 1000 bootstrap samples and assessment of model performance via AUC and decision curve analysis (DCA).

Main Results:

  • Flap type, duration of surgery, postoperative complications, unplanned reoperation, and blood transfusion were significant predictors of PLOS.
  • The nomogram demonstrated good predictive accuracy with an AUC of 0.78 in the primary cohort and 0.725 in the validation cohort.
  • DCA confirmed the clinical utility of the model for intervention decisions.

Conclusions:

  • A validated nomogram accurately predicts PLOS in HNC patients undergoing free vascularized flap reconstruction.
  • This tool can assist clinicians in risk stratification and optimizing patient care pathways.
  • Further external validation is recommended to confirm generalizability.