Metabolic syndrome as a predictor of perioperative outcomes in primary bariatric surgery, a MBSAQIP survey

Impact of Metabolic Syndrome on Early Postoperative Outcomes After Cervical Disk Replacement: A Propensity-matched Analysis

STUDY DESIGN

Retrospective cohort study.

OBJECTIVE

To compare the demographics, perioperative variables, and complication rates following cervical disk replacement (CDR) among patients with and without metabolic syndrome (MetS).

SUMMARY OF BACKGROUND DATA

The prevalence of MetS-involving concurrent obesity, insulin resistance, hypertension, and hyperlipidemia-has increased in the United States over the last 2 decades. Little is known about the impact of MetS on early postoperative outcomes and complications following CDR.

METHODS

The 2005-2020 National Surgical Quality Improvement Program was queried for patients who underwent primary 1- or 2-level CDR. Patients with and without MetS were divided into 2 cohorts. MetS was defined, according to other National Surgical Quality Improvement Program studies, as concurrent diabetes mellitus, hypertension requiring medication, and body mass index ≥30 kg/m 2 . Rates of 30-day readmission, reoperation, complications, length of hospital stay, and discharge disposition were compared using χ 2 and Fisher exact tests. One to 2 propensity-matching was performed, matching for demographics, comorbidities, and number of operative levels.

RESULTS

A total of 5395 patients were included for unmatched analysis. Two hundred thirty-six had MetS, and 5159 did not. The MetS cohort had greater rates of 30-day readmission (2.5% vs. 0.9%; P =0.023), morbidity (2.5% vs. 0.9%; P =0.032), nonhome discharges (3% vs. 0.6%; P =0.002), and longer hospital stays (1.35±4.04 vs. 1±1.48 days; P =0.029). After propensity-matching, 699 patients were included. All differences reported above lost significance ( P >0.05) except for 30-day morbidity (superficial wound infections), which remained higher for the MetS cohort (2.5% vs. 0.4%, P =0.02).

CONCLUSIONS

We identified MetS as an independent predictor of 30-day morbidity in the form of superficial wound infections following single-level CDR. Although MetS patients experienced greater rates of 30-day readmission, nonhome discharge, and longer lengths of stay, MetS did not independently predict these outcomes after controlling for baseline differences in patient characteristics.

LEVEL OF EVIDENCE

Level III.

Metabolic syndrome and surgical complications: a systematic review and meta-analysis of 13 million individuals

BACKGROUND

Metabolic syndrome (MetS) is characterised by the presence of at least three of the five following components: insulin resistance, obesity, chronic hypertension, elevated serum triglycerides, and decreased high-density lipoprotein cholesterol concentrations. It is estimated to affect 1 in 3 people around the globe and is reported to affect 46% of surgical patients. For people with MetS who undergo surgery, an emerging body of literature points to significantly poorer postoperative outcomes compared with nonaffected populations. The aim of this study is to review the current evidence on the risks of surgical complications in patients with MetS compared to those without MetS.

METHODS

Systematic review and meta-analysis using PRISMA and AMSTAR reporting guidelines.

RESULTS

The meta-analysis included 63 studies involving 1 919 347 patients with MetS and 11 248 114 patients without MetS. Compared to individuals without the condition, individuals with MetS were at an increased risk of mortality (OR 1.75 95% CI: 1.36-2.24; P <0.01); all surgical site infection types as well as dehiscence (OR 1.64 95% CI: 1.52-1.77; P <0.01); cardiovascular complications (OR 1.56 95% CI: 1.41-1.73; P <0.01) including myocardial infarction, stroke, cardiac arrest, cardiac arrythmias and deep vein thrombosis; increased length of hospital stay (MD 0.65 95% CI: 0.39-0.9; P <0.01); and hospital readmission (OR 1.55 95% CI: 1.41-1.71; P <0.01).

CONCLUSION

MetS is associated with a significantly increased risk of surgical complications including mortality, surgical site infection, cardiovascular complications, increased length of stay, and hospital readmission. Despite these risks and the high prevalence of MetS in surgical populations there is a lack of evidence on interventions for reducing surgical complications in patients with MetS. The authors suggest prioritising interventions across the surgical continuum that include (1) preoperative screening for MetS; (2) surgical prehabilitation; (3) intraoperative monitoring and management; and (4) postoperative rehabilitation and follow-up.

Selection of Robotic Bariatric Surgery Candidates: a Nationwide Analysis

INTRODUCTION

This study aims to identify risk factors associated with 30-day major complications, readmission, and delayed discharge for patients undergoing robotic bariatric surgery.

METHODS

From the metabolic and bariatric surgery and accreditation quality improvement program (2015-2018) datasets, adult patients who underwent elective robotic bariatric operations were included. Predictors for 30-day major complications, readmission, and delayed discharge (hospital stay ≥ 3 days) were identified using univariable and multivariable analyses.

RESULTS

Major complications in patients undergoing robotic bariatric surgery were associated with both pre-operative and intraoperative factors including pre-existing cardiac morbidity (OR = 1.41, CI = [1.09-1.82]), gastroesophageal reflux disease [GERD] (OR = 1.23, CI = [1.11-1.38]), pulmonary embolism (OR = 1.51, CI = [1.02-2.22]), prior bariatric surgery (OR = 1.66, CI = [1.43-1.94]), increased operating time (OR = 1.003, CI = [1.002-1.004]), gastric bypass or duodenal switch (OR = 1.58, CI = [1.40-1.79]), and intraoperative drain placement (OR = 1.28, CI = [1.11-1.47]). With regard to 30-day readmission, non-white race (OR = 1.25, CI = [1.14-1.39]), preoperative hyperlipidemia (OR = 1.16, CI = [1.14-1.38]), DVT (OR = 1.48, CI = [1.10-1.99]), therapeutic anticoagulation (OR = 1.48, CI = [1.16-1.89]), limited ambulation (OR = 1.33, CI = [1.01-1.74]), and dialysis (OR = 2.14, CI = [1.13-4.09]) were significantly associated factors. Age ≥ 65 (OR = 1.18, CI = [1.04-1.34]), female gender (OR = 1.21, CI = [1.10-1.32]), hypertension (OR = 1.08, CI = [1.01-1.15]), renal insufficiency (OR = 2.32, CI = [1.69-3.17]), COPD (OR = 1.49, CI = [1.23-1.82]), sleep apnea (OR = 1.10, CI = [1.03-1.18]), oxygen dependence (OR = 1.47, CI = [1.10-2.0]), steroid use (OR = 1.26, CI = [1.02-1.55]), IVC filter (OR = 1.52, CI = [1.15-2.0]), and BMI ≥ 40 (OR = 1.12, CI = [1.04-1.21]) were risk factors associated with delayed discharge.

CONCLUSION

When selecting patients for bariatric surgery, surgeons early in their learning curve for utilizing robotics should avoid individuals with pre-existing cardiac or renal morbidities, venous thromboembolism, and limited functional status. Patients who have had previous bariatric surgery or require technically demanding operations are at higher risk for complications. An evidence-based approach in selecting bariatric candidates may potentially minimize the overall costs associated with adopting the technology.