Skip to main navigation Skip to search Skip to main content

The combined effect of age and body mass index on outcomes in foregut surgery: a regression model analysis of the National Surgical Quality Improvement Program data

  • Rutgers - The State University of New Jersey, New Brunswick
  • Rutgers - The State University of New Jersey, Newark

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

Background: In a parallel demographic phenomenon, the elderly and obese populations will become a larger part of our population and surgical practices. The elderly obese surgical risk profile is not clearly defined, although studies have confirmed their independent negative effect on surgical outcomes. Benign foregut surgery is a relatively common complex procedure performed on this demographic and warrants deeper investigation into outcomes. We investigate the synergistic effect of age and body mass index (BMI) on the outcomes of benign foregut surgery. Methods: Data from National Surgical Quality Improvement Program were collected for all patients undergoing foregut surgery from 2005 to 2012. Subjects were over 18 years of age and 16 BMI. Primary and secondary outcomes were 30-day mortality and overall 30-day morbidity, respectfully. Binary logistic regression models were used to assess independent and interactive effects of age and BMI. Results: A total of 19,547 patients had an average age and BMI of 57 and 29.7, respectively. Sample 30-day mortality was 0.32 %. Every 10-year age increase led to a 46 % increased odds of mortality. BMI showed a bimodal distribution with underweight and morbidly obese patients having increased mortality. The effect of BMI only became apparent with increasing age. Conclusions: Both age and BMI are independent predictors of mortality; only older patients experienced the bimodal BMI effect. Therefore, increasing age and BMI have a synergistic effect on outcomes after foregut operations.

Original languageEnglish
Pages (from-to)2572-2582
Number of pages11
JournalSurgical Endoscopy
Volume30
Issue number6
DOIs
StatePublished - 1 Jun 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Age
  • Foregut surgery
  • Obesity
  • Regression modeling

Fingerprint

Dive into the research topics of 'The combined effect of age and body mass index on outcomes in foregut surgery: a regression model analysis of the National Surgical Quality Improvement Program data'. Together they form a unique fingerprint.

Cite this