Impact of Metabolic Syndrome on the Morbidity and Mortality of Patients Undergoing Panniculectomy

Abstract

Background

Metabolic syndrome (MetS) is defined as the concomitant disease process of obesity and at least two of the following variables: diabetes, hypertension, hypertriglyceridemia, or reduced high-density lipoprotein. These entities are well established as risk factors for complications following surgery. Obese patients are particularly prone to the development of MetS. The authors therefore aimed at elucidating the impact of MetS on the perioperative panniculectomy outcomes.

Methods

The American College of Surgeons National Surgical Quality Improvement Program database was analyzed for all primary procedures of panniculectomy from 2010 through 2015. The cases were stratified based on the presence or absence of MetS and evaluated for demographic data, intraoperative details, and their morbidity and mortality within 30 days after surgery.

Results

A total of 7030 cases were included in this study. Patients with MetS (6.2%) were of significantly worse health, required more emergency admissions (p = 0.022), longer hospitalization (p < 0.001), and more frequently inpatient procedures (p < 0.001) compared to the control group without MetS (3.8%). Plastic surgery was the predominant specialty operating on 79.5% of all cases. Surgical (23.3 vs. 8.7%) complications, readmission (8.7 vs. 3.0%), and reoperations (6.9 vs. 3.1%) rates were all significantly higher in patients with MetS that those without (p < 0.001). One fatality occurred in each cohort (0.23 vs. 0.02%, p = 0.010).

Conclusion

Comorbidities are not uncommon in patients undergoing panniculectomy, especially in those diagnosed with MetS. Health-care providers need to be aware of the increased morbidity and mortality in this high-risk subgroup and need to consider preoperative optimization and management before proceeding with surgery.

Level of Evidence III

This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors http://ift.tt/18t7xNj.

from #ORL-AlexandrosSfakianakis via ola Kala on Inoreader http://ift.tt/2vyhMBJ