| Literature DB >> 36163563 |
Jordan E Grubbs1, Haley J Daigle2, Megan Shepherd1, Robert E Heidel1, Kyle L Kleppe1, Matthew L Mancini1, Gregory J Mancini1.
Abstract
BACKGROUND: The COVID-19 pandemic created delays in surgical care. The population with obesity has a high risk of death from COVID-19. Prior literature shows the most effective way to combat obesity is by weight loss surgery. At different times throughout the COVID-19 pandemic, elective inpatient surgeries have been halted due to bed availability. Recognizing that major complications following bariatric surgery are extremely low (bleeding 0-4%, anastomotic leaks 0.8%), we felt outpatient bariatric surgery would be safe for low-risk patients. Complications such as DVT, PE, infection, and anastomotic leaks typically present after 7 days postoperatively, well outside the usual length of stay. Bleeding events, severe postoperative nausea, and dehydration typically occur in the first few days postoperatively. We designed a pathway focused on detecting and preventing these early post-op complications to allow safe outpatient bariatric surgery.Entities:
Keywords: Bariatric surgery; Bypass; Monitoring; Outpatient; Same-day discharge; Sleeve
Year: 2022 PMID: 36163563 PMCID: PMC9512967 DOI: 10.1007/s00464-022-09628-6
Source DB: PubMed Journal: Surg Endosc ISSN: 0930-2794 Impact factor: 3.453
Preoperative evaluation tool for risk stratification of patients undergoing bariatric surgery
| Bariatric preoperative evaluation | ||||||
|---|---|---|---|---|---|---|
| Low risk/Green | Moderate risk/ Yellow | High risk/ Red | Score | |||
| 0 | Age < 65 | 3 | Age > 65 | |||
| 0 | OSMRS A (0–1) | 2 | OSMRS B (2–3) | 3 | OSMRS C (4–5) | |
| 0 | Co morbidities are stable and controlled | 3 | Needs medical Clearance from specialists | 5 | Needs to be roundtable | |
| 0 | Demonstrating lifestyle changes | 2 | Has started making some lifestyle changes | 3 | Has not started practicing lifestyle changes | |
| 0 | Keeping a detailed food journal | 2 | Intermittently keeping a food journal | 3 | Not currently keeping a detailed food journal | |
| 0 | Eating nutrient dense foods such as lean proteins, fruits, and vegetables | 2 | Significantly improved diet, still struggling with protein intake | 3 | Currently eating high sugar, high fat foods often | |
| 0 | Avoiding fast foods and frequent dining out | 3 | Dining out frequently | |||
| 0 | Practicing meal preparation at home | 2 | Struggling with meal planning and preparations | 3 | Has not started meal planning | |
| 0 | Started exercising regularly | 2 | Increasing daily physical activity | 3 | No deliberate exercise to note | |
| 0 | Practicing chewing and sipping | 2 | Intermittent practicing chewing and sipping | 3 | Not practicing chewing and sipping | |
| 0 | Separating fluids and solids by 30 min | 2 | Intermittently separating fluids and solids | 3 | Currently eating and drinking together | |
| 0 | Abstaining from alcohol | 3 | Significant decreased alcohol intake | 5 | Currently drinking alcohol | |
| 0 | Abstaining from tobacco | 6 | Significantly cut back on tobacco use | 10 | Currently smoking | |
| 0 | Currently taking a daily multivitamin | 2 | Intermittently taking a multivitamin | 3 | Has not started a daily multivitamin | |
| 0 | Has an active support system | 3 | We currently are concerned about their support system | 5 | Currently struggling with social support and family dysfunction | |
| 2 | Voices financial objections | 5 | Current opioid use | |||
| 3 | Prior weight loss surgery | |||||
| Notes: | Total | |||||
Obesity mortality risk score and the risk stratification [11, 12]
| Risk factor | Points |
|---|---|
| Arterial Hypertension | 1 |
| Age > 45 | 1 |
| Male gender | 1 |
| Body mass index > 50 kg/m2 | 1 |
| Risk factors for pulmonary embolism | 1 |
Fig. 1Outpatient bariatric surgery protocol, including preoperative, intraoperative, postoperative, and at-home phases
Characteristics of patients selected to undergo outpatient bariatric surgery
| Characteristics | Outpatient Bariatric Patients (n = 89) |
|---|---|
| Age (years) | 42 |
| BMI (kg/m2) | 44 |
| Female | 75 (84%) |
| Male | 14 (15.8%) |
| Sleeve gastrectomy | 31 (35%) |
| RYGB | 52 (58%) |
| Conversion | 6 (7%) |
| Comorbidities | |
| Hypertension | 44.9% |
| Type II Diabetes | 34.8% |
| Sleep apnea | 27% |
| OSMR score | 1.22 |
| Length of stay (days) | 0.58 |
| Overnight hospitalizations | 9 (10.1%) |
Tests of association between patient demographics and comorbidities and length of stay
| Characteristics | LOS > 1 | LOS < 1 | |
|---|---|---|---|
| Age (years) | 44.4 | 41.7 | 0.57 |
| BMI (kg/m2) | 48.1 | 43.9 | 0.22 |
| OSMR | 1.67 | 1.16 | 0.09 |
| Gender (M/F) | 2/7 | 12/68 | 0.63 |
| Comorbidities | |||
| Hypertension | 5 (55.6%) | 35 (43.8%) | 0.73 |
| Obstructive Sleep Apnea | 2 (22.2%) | 22 (27.5%) | 1 |
| Diabetic | 5 (55.6%) | 26 (32.5%) | 0.27 |
| Conversion | 1 (12.5%) | 5 (7.4%) | 0.499 |
| Readmission | 1 (11.1%) | 2 (2.5%) | 0.026* |
We calculated independent samples t tests to look for significant differences in the means of continuous variables. We calculated Fisher’s exact test to look for association between patient comorbidities and length of stay greater than one day. Data are presented as frequencies except Age, BMI, and OSMR which are averages
*p < 0.05
LOS length of stay, OSMR Obesity Surgery Mortality Risk