Journal article
An improved predictive model for postoperative pulmonary complications after free flap reconstructions in the head and neck
Head & neck, Vol.43(7), pp.2178-2184
07/2021
DOI: 10.1002/hed.26689
PMCID: PMC8197740
PMID: 33783905
Abstract
Background: Commonly used predictive models for postoperative pulmonary complications (PPCs) do not perform when applied to head and neck cases. A head and neck-specific risk prediction tool is needed.
Methods: Data on 794 free flap head and neck surgery cases at a single center were abstracted from the electronic medical record. Each case was reviewed for the development of PPCs. A predictive model was developed and was then compared to existing predictive models for PPCs.
Results: The least absolute shrinkage and selection operator procedure identified age, alcohol use, history of congestive heart failure, preoperative packed cell volume, preoperative oxygen saturation, and preoperative metabolic equivalents as predictors of PPCs in the head and neck population. The model demonstrated an area under the receiving operating characteristic curve of 0.75 (0.69-0.80) with moderately good calibration. Comparisons to the performance of existing models demonstrate superior performance.
Conclusions: The model for the development of PPCs developed in this article displays superior performance to existing models.
Details
- Title: Subtitle
- An improved predictive model for postoperative pulmonary complications after free flap reconstructions in the head and neck
- Creators
- Derek K. Smith - Vanderbilt University Medical CenterRobert E. Freundlich - Vanderbilt University Medical CenterJustin R. Shinn - Vanderbilt University Medical CenterC. Burton Wood - Vanderbilt University Medical CenterSarah L. Rohde - Vanderbilt University Medical CenterMatthew D. McEvoy - Vanderbilt University Medical Center
- Resource Type
- Journal article
- Publication Details
- Head & neck, Vol.43(7), pp.2178-2184
- DOI
- 10.1002/hed.26689
- PMID
- 33783905
- PMCID
- PMC8197740
- NLM abbreviation
- Head Neck
- ISSN
- 1043-3074
- eISSN
- 1097-0347
- Number of pages
- 7
- Grant note
- K23HL148640 / National Heart, Lung, and Blood Institute (http://data.elsevier.com/vocabulary/SciValFunders/100000050) K23 DE038010 / National Institute of Dental and Craniofacial Research (100000072) KL2TR00224504 / National Center for Advancing Translational Sciences (100006108)
- Language
- English
- Date published
- 07/2021
- Academic Unit
- Preventive and Community Dentistry; Dental Research
- Record Identifier
- 9984966855502771
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