Racial Disparity in 30-Day Outcomes of Metabolic and Bariatric Surgery.

BACKGROUND: There is evidence of racial disparity in the long-term weight loss outcomes of bariatric surgery. However, there has been a more limited evaluation of the impact of race on immediate perioperative outcomes. The aim of this study was to compare 30-day postoperative outcomes among different races. STUDY
DESIGN: The 2016 Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP) database was queried to identify patients aged ≥ 18 and body mass index ≥ 35 who underwent primary laparoscopic Roux-en-Y gastric bypass (LRYGB) or laparoscopic sleeve gastrectomy (LSG) with known information on race. We then evaluated the effect of five different races on four different 30-day outcomes.
RESULTS: Of the total 106,932 patients (79.5% White, 19.3% African American (AA), 0.5% Asian, 0.4% American Indian or Alaska Native, 0.3% Native Hawaiian or other Pacific Islander), 30-day rates of postoperative complication, readmission, re-intervention, and reoperation were 6, 3.8, 1.3, and 1.2%, respectively. After controlling for other covariates in multivariate logistic regression and selecting White as reference, AA was the only race associated with a higher risk of postoperative complications (odds ratio [OR] 1.13; confidence interval [CI] 1.06-1.2) and readmissions (OR 1.47; CI 1.3-1.6). AA and American Indian or Alaska Native were also associated with higher re-interventions (OR 1.31; CI 1.15-1.51 and OR 2.11; CI 1.03-4.34). Furthermore, AA was associated with lower 30-day reoperations (OR 0.83; CI 0.7-0.9).
CONCLUSION: This study found significant racial differences in short-term outcomes following bariatric surgery. Factors underlying these disparities are unclear and warrant further investigation.

Introduction

Obesity is a chronic disease with a globally rising rate that reached 30.1% in 2017 [1]. Metabolic and bariatric surgery has been proved to be the most effective method not only for weight loss [2, 3] but also for resolving or improving associated comorbidities [4-7] and quality of life as well as long-term mortality in obese patients [8].

Although the obesity rate has had an upward trend in almost all racial groups, some races are disproportionately affected. Based on the Centers for Disease Control (CDC) reports, Asian adults had the lowest obesity prevalence in 2017 while non-Hispanic black adults (39%) had the highest, followed by American Indian/Alaska Native (38.7%), Hispanic (32.4%), and non-Hispanic White adults (29.3%) [1]. Among proposed etiologies for this disproportionate distribution are socio-economic factors and their effects on nutrition [9], genetic differences [10], and possible ethnic differences in fat metabolism [11]. Additionally, there is evidence of gender disparity with female dominance [12] and unequal utilization of bariatric surgery with fewer African Americans undergoing these procedures compared with Whites [13] despite a higher obesity rate in the former. Furthermore, there is evidence of disparate long-term response to bariatric procedures especially disproportionate success in weight loss among different races [14-16].

While there are numerous studies on these aspects of disparity in metabolic and bariatric surgery especially related to long-term outcomes, there has been limited evaluation of the impact of race on the short-term postoperative outcomes of these procedures, which constitutes the primary aim of this study.

Methods

Data Source

Data were obtained from the 2016 Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP) participant use files (PUF) including cases with operation dates between January 1, 2016, and December 31, 2016. With over 790 participating sites across the USA and Canada, the MBSAQIP data registry is the largest bariatric-specific dataset containing preoperative, intraoperative, and postoperative data for patients undergoing metabolic and bariatric surgery. All data are collected by trained and certified metabolic and bariatric surgical clinical reviewers (MBSCRs), and selected participating centers are regularly audited to ensure the data collected are of the highest quality [17].

Study Population

This study included patients with age ≥ 18 years and BMI ≥ 35 who underwent either laparoscopic Roux-en-Y gastric bypass (LRYGB) or laparoscopic sleeve gastrectomy (LSG), the two most commonly performed bariatric procedures. We used the current procedural terminology (CPT) for the principal operative procedure selection: LRYGB (43644, 43645), LSG (43775). We excluded those with unknown race or ethnicity information, previous bariatric surgery, revisional or conversional cases, emergency cases, and any surgical approach other than conventional laparoscopic approach.

Outcomes

The outcomes of interest were 30-day postoperative outcomes including composite “postoperative complication” defined as presence of any of the 24 adverse events: superficial incisional surgical site infection (SSI), deep incisional SSI, organ/space SSI, wound disruption, sepsis, septic shock, urinary tract infection (UTI), acute renal failure (ARF), progressive renal insufficiency, mechanical ventilation > 48 h, unplanned intubation, pneumonia, unplanned admission to ICU, deep venous thrombosis (DVT), pulmonary embolism (PE), cardiac arrest, myocardial infarction (MI), stroke, coma > 24 h, peripheral nerve injury, Clostridium difficile colitis, dehydration requiring treatment, incisional hernia, and presence of operative drain at 30 days. Other 30-day postoperative outcomes considered as endpoints were at least one readmission, re-intervention, and reoperation.

Statistical Analysis

Five different races (White, Black or African American, Asian, American Indian or Alaska Native, Native Hawaiian or other Pacific Islander) were compared for basic characteristics and comorbidities, perioperative factors, and postoperative outcomes using chi-square or Fisher’s exact tests for categorical variables and analysis of variance (ANOVA) for continuous variables. Multivariate logistic regression models were used to examine the effect of race on outcomes and included patient characteristics, comorbidities, and perioperative factors with p < 0.05 found in univariate analyses for each outcome. Odds ratios (OR) along with 95% confidence intervals (CI) were reported, and inference was based on a two-sided 5% level. The analysis was performed using SPSS (Version 22, Chicago, IL).

Results

The study cohort consisted of 106,932 patients who underwent LRYGB or LSG. The majority were White (79.5%) followed by Black or African American (AA) (19.3%), Asian (0.5%), American Indian or Alaska Native (0.4%), and Native Hawaiian or other Pacific Islanders (0.3%). Table 1 demonstrates the baseline characteristics in these five groups, most of which are different in at least two of the racial groups. The majority of patients were females who underwent LSG, with a significant gap between the two procedures, except in Native Hawaiian or other Pacific Islander, in which case, the gap became closer. AA and Native Hawaiian or other Pacific Islander patients had significantly higher BMI in comparison with Whites. Additionally, AA patients tended to smoke less within 1 year of surgery when compared with Whites, while American Indian or Alaska Natives had the highest percentage of smokers (13%) among others. There were also significantly more patients with American Society of Anesthesiologists (ASA) class > 2 among AAs and Native Hawaiian or other Pacific Islanders when compared with Whites.

Table 1

Patient characteristics

Covariates	TotalN = 106,932 (%) or mean ± SD	WhiteN = 85,054 (79.5%)	Black or African AmericanN = 20,629 (19.3%)	AsianN = 532 (0.5%)	American Indian or Alaska NativeN = 377 (0.4%)	Native Hawaiian or other Pacific IslandersN = 340 (0.3%)	p value
Age (years)	44.65 ± 11.89	45.16 ± 12.08	42.69 ± 10.91	42.23 ± 10.86	43.23 ± 11.01	42.2 ± 10.78	< 0.001
Gender (female)	84,693 (79.2)	66,026 (77.6)	17,715 (85.9)	384 (72.2)	314 (83.3)	254 (74.7)	< 0.001
Pre-op weight closest to bariatric surgery (Ibs)	241.36 ± 85.29	239.95 ± 84.35	248.4 ± 88.49	215.25 ± 83.41	226.41 ± 88.2	223.88 ± 93.34	< 0.001
Pre-op BMI closest to bariatric surgery	45.78 ± 7.61	45.41 ± 7.38	47.33 ± 8.3	44.24 ± 7.6	45.68 ± 7.26	47.37 ± 8.68	< 0.001
BMI ≥ 50	25,395 (23.7)	18,834 (22.1)	6272 (30.4)	94 (17.7)	95 (25.2)	100 (29.4)	< 0.001
Current smoker within 1 year	9495 (8.9)	7748 (9.1)	1614 (7.8)	47 (8.8)	49 (13)	37 (10.9)	< 0.001
Dependent pre-op functional health status	1120 (1)	857 (1)	246 (1.2)	8 (1.5)	5 (1.3)	4 (1.2)	0.141
Limited pre-op ambulation	1701 (1.6)	1331 (1.6)	349 (1.7)	7 (1.3)	7 (1.9)	7 (2.1)	0.625
Pre-op albumin lab value	2.96 ± 1.82	2.99 ± 1.82	2.86 ± 1.79	2.85 ± 1.91	2.85 ± 1.85	3.17 ± 1.81	< 0.001
Pre-op hematocrit lab value	36.44 ± 13.23	36.78 ± 13.44	35.03 ± 12.18	36.99 ± 13.34	35.8 ± 14.3	37.16 ± 12.93	< 0.001
ASA class							< 0.001
Class 1	290 (0.3)	241 (0.3)	49 (0.2)	0	0	0
Class 2	23,035 (21.5)	18,703 (22)	4087 (19.8)	112 (21.1)	86 (22.8)	47 (13.8)
Class 3	79,490 (74.3)	62,901 (74)	15,637 (75.8)	401 (75.4)	277 (73.5)	274 (80.6)
Class 4	3359 (3.1)	2557 (3)	756 (3.7)	17 (3.2)	13 (3.4)	16 (4.7)
Principle operative procedure							< 0.001
LSG	77,392 (72.4)	60,506 (71.1)	16,068 (77.9)	379 (71.2)	253 (67.1)	186 (54.7)
LRYGB	29,540 (27.6)	24,548 (28.9)	4561 (22.1)	153 (28.8)	124 (32.9)	154 (45.3)

BMI body mass index, ASA American Society of Anesthesiologists, LSG laparoscopic sleeve gastrectomy, LRYGB laparoscopic Roux-en-y gastric bypass

Tables 2, 3, and 4 highlight the comorbidities, peri- and postoperative outcomes between racial groups. All comparisons are made with White patients as the reference. AAs had higher rates of hypertension, inferior vena cava (IVC) filter in anticipation of the surgery, renal insufficiency, and requiring or being on dialysis, while lower rates of most other comorbidities. Asian patients had higher rates of diabetes (33.5%) and obstructive sleep apnea (44.4%). American Indian or Alaska Native and Native Hawaiian or other Pacific Islander also had higher rates of diabetes and renal insufficiency (Table 2). Regarding the perioperative factors, there were some technical differences among racial groups as well as difference in operation length, which was significantly higher in AAs (Table 3).

Table 2

Comorbidities

Covariates	TotalN = 106,932	WhiteN = 85,054 (79.5%)	Black or African AmericanN = 20,629 (19.3%)	AsianN = 532 (0.5%)	American Indian or Alaska NativeN = 377 (0.4%)	Native Hawaiian or other Pacific IslandersN = 340 (0.3%)	p value
Diabetes	28,128 (26.3)	22,317 (26.2)	5384 (26.1)	178 (33.5)	135 (35.8)	114 (33.5)	< 0.001
Hypertensive requiring medication	52,399 (49)	40,780 (47.9)	11,050 (53.6)	243 (45.7)	170 (45.1)	156 (45.9)	< 0.001
Hyperlipidemia	25,920 (24.2)	21,612 (25.4)	3993 (19.4)	138 (25.9)	104 (27.6)	73 (21.5)	< 0.001
GERD requiring medication	33,892 (31.7)	28,349 (33.3)	5244 (25.4)	118 (22.2)	126 (33.4)	55 (16.2)	< 0.001
OSA	420.82 (39.4)	34,172 (40.2)	7367 (35.7)	236 (44.4)	165 (43.8)	142 (41.8)	< 0.001
COPD	1956 (1.8)	1640 (1.9)	302 (1.5)	4 (0.8)	9 (2.4)	1 (0.3)	< 0.001
Oxygen dependent	799 (0.7)	692 (0.8)	104 (0.5)	0	2 (0.5)	1 (0.3)	< 0.001
MI	1497 (1.4)	1266 (1.5)	217 (1.1)	6 (1.1)	2 (0.5)	6 (1.8)	< 0.001
PCI/PTCA	2406 (2.3)	2072 (2.4)	314 (1.5)	11 (2.1)	2 (0.5)	7 (2.1)	< 0.001
Previous cardiac surgery	1280 (1.2)	1079 (1.3)	190 (0.9)	6 (1.1)	3 (0.8)	2 (0.6)	0.001
DVT	1763 (1.6)	1419 (1.7)	331 (1.6)	2 (0.4)	6 (1.6)	5 (1.5)	0.211
PE	1321 (1.2)	1021 (1.2)	287 (1.4)	3 (0.6)	6 (1.6)	4 (1.2)	0.12
Venous stasis	1314 (1.2)	1148 (1.3)	147 (0.7)	6 (1.1)	6 (1.6)	7 (2.1)	< 0.001
IVC filter	859 (0.8)	510 (0.6)	347 (1.7)	1 (0.2)	1 (0.3)	0	< 0.001
IVC filter timing							< 0.001
In anticipation of the metabolic or bariatric procedure	591/859 (68.8)	309/510 (60.6)	281/347 (81)	1 (100)	0	0
Pre-existing	259/859 (30.2)	196/510 (38.4)	62/347 (17.9)	0	1 (100)	0
Pre-op therapeutic anticoagulation	2910 (2.7)	2429 (2.9)	455 (2.2)	10 (1.9)	8 (2.1)	8 (2.4)	< 0.001
Renal insufficiency	704 (0.7)	439 (0.5)	250 (1.2)	3 (0.6)	7 (1.9)	5 (1.5)	< 0.001
Requiring or on dialysis	306 (0.3)	161 (0.2)	139 (0.7)	3 (0.6)	1 (0.3)	2 (0.6)	< 0.001
Steroid/immunosuppressant use for chronic condition	1868 (1.7)	1462 (1.7)	379 (1.8)	10 (1.9)	10 (2.7)	7 (2.1)	0.491
At least one comorbidity	82,750 (77.4)	66,049 (77.7)	15,739 (76.3)	417 (78.4)	297 (78.8)	248 (72.9)	< 0.001

GERD gastroesophageal reflux disease, OSA obstructive sleep apnea, COPD chronic obstructive pulmonary disease, MI myocardial infarction, PCI/PTCA percutaneous coronary intervention/percutaneous transluminal coronary angioplasty, DVT deep venous thrombosis, PE pulmonary embolism, IVC inferior vena cava

Table 3

Perioperative factors

Covariates	TotalN = 106,932N (%) or mean ± SD	WhiteN = 85,054 (79.5%)	Black or African AmericanN = 20,629 (19.3%)	AsianN = 532 (0.5%)	American Indian or Alaska NativeN = 377 (0.4%)	Native Hawaiian or other Pacific IslandersN = 340 (0.3%)	p value
Sleeve staple line reinforcement	52,829 (49.4)	41,094 (48.3)	11,216 (54.4)	242 (45.5)	166 (44)	111 (32.6)	< 0.001
Sleeve oversew	17,226 (16.1)	13,408 (15.8)	3657 (17.7)	73 (13.7)	47 (12.5)	41 (12.2)	< 0.001
Sleeve bougie size > 38 F	23,416 (21.9)	17,862 (21)	5329 (25.8)	112 (21.1)	81 (21.5)	32 (9.4)	< 0.001
Sleeve distance to pylorus > 4 cm	48,931 (45.8)	38,135 (44.8)	10,270 (49.8)	234 (44)	192 (50.9)	100 (29.4)	< 0.001
Drain placed at the time of the initial operation	21,499 (20.1)	17,218 (20.2)	4066 (19.7)	110 (20.7)	47 (12.5)	58 (17.1)	0.001
Anastomosis/staple line checked w/provocative test to assess for leak	83,462 (78.1)	66,436 (78.1)	16,048 (77.8)	393 (73.9)	289 (76.7)	296 (87.1)	< 0.001
Swallow study performed day of or day after procedure	38,018 (35.6)	29,312 (34.5)	8354 (40.5)	162 (30.5)	104 (27.6)	86 (25.3)	< 0.001
Transfusion intra-op/post-op (72 h of surgery start time)	658 (0.6)	519 (0.6)	130 (0.6)	5 (0.9)	3 (0.8)	1 (0.3)	0.772
Superficial incisional SSI PATOS	3 (0.0)	3 (0.0)	0	0	0	0	0.942
Deep incisional SSI PATOS	4 (0.0)	4 (0.0)	0	0	0	0	0.905
Organ/space SSI PATOS	5 (0.0)	3 (0.0)	2 (0.0)	0	0	0	0.842
Pneumonia PATOS	6 (0.0)	3 (0.0)	3 (0.0)	0	0	0	0.454
Ventilator > 48 h PATOS	1 (0.0)	0	1 (0.0)	0	0	0	0.382
UTI PATOS	26 (0.0)	18 (0.0)	8 (0.0)	0	0	0	0.658
Sepsis PATOS	7 (0.0)	6 (0.0)	1 (0.0)	0	0	0	0.995
Operation length (min)	83.42 ± 45.8	82.78 ± 45.4	85.97 ± 47.2	84.18 ± 44.3	83.45 ± 44.9	89.32 ± 48.1	< 0.001

SSI surgical site infection, PATOS present at the time of surgery

Table 4

Postoperative outcomes and complications

Covariates	TotalN = 106,932N (%) or mean ± SD	WhiteN = 85,054 (79.5%)	Black or African AmericanN = 20,629 (19.3%)	AsianN = 532 (0.5%)	American Indian or Alaska NativeN = 377 (0.4%)	Native Hawaiian or other Pacific IslandersN = 340 (0.3%)	p value
Post-op superficial incisional SSI	475 (0.4)	404 (0.5)	59 (0.3)	3 (0.6)	2 (0.5)	7 (2.1)	< 0.001
Post-op deep incisional SSI	64 (0.1)	54 (0.1)	9 (0.0)	0	1 (0.3)	0	0.37
Post-op organ/space SSI	183 (0.2)	154 (0.2)	26 (0.1)	1 (0.2)	1 (0.3)	1 (0.3)	0.485
Wound disruption	58 (0.1)	40 (0.0)	15 (0.1)	2 (0.4)	0	1 (0.3)	0.003
Post-op sepsis	96 (0.1)	83 (0.1)	11 (0.1)	0	1 (0.3)	1 (0.3)	0.136
Post-op septic shock	56 (0.1)	45 (0.1)	10 (0.0)	0	0	1 (0.3)	0.362
Post-op UTI	391 (0.4)	316 (0.4)	65 (0.3)	6 (1.1)	2 (0.5)	2 (0.6)	0.029
Acute renal failure	71 (0.1)	54 (0.1)	16 (0.1)	1 (0.2)	0	0	0.7
Progressive renal insufficiency	57 (0.1)	40 (0.0)	16 (0.1)	0	1 (0.3)	0	0.162
On ventilator > 48 h	72 (0.1)	60 (0.1)	12 (0.1)	0	0	0	0.873
Unplanned intubation	167 (0.2)	130 (0.2)	35 (0.2)	1 (0.2)	1 (0.3)	0	0.885
Post-op pneumonia	232 (0.2)	192 (0.2)	39 (0.2)	1 (0.2)	0	0	0.622
Unplanned admission to ICU within 30 Days	708 (0.7)	539 (0.6)	160 (0.8)	4 (0.8)	2 (0.5)	3 (0.9)	0.24
Post-op vein thrombosis requiring therapy	191 (0.2)	143 (0.2)	47 (0.2)	1 (0.2)	0	0	0.329
Pulmonary embolism	121 (0.1)	81 (0.1)	38 (0.2)	1 (0.2)	1 (0.3)	0	0.011
Intra-op or post-op cardiac arrest requiring CPR	33 (0.0)	28 (0.0)	5 (0.0)	0	0	0	0.939
Intra-op or post-op MI	38 (0.0)	32 (0.0)	4 (0.0)	2 (0.4)	0	0	0.001
Stroke/CVA	11 (0.0)	8 (0.0)	3 (0.0)	0	0	0	0.968
Coma > 24 h	4 (0.0)	2 (0.0)	2 (0.0)	0	0	0	0.655
Clostridium difficile colitis	163 (0.2)	138 (0.2)	24 (0.1)	0	1 (0.3)	0	0.413
Patient received treatment for dehydration	3956 (3.7)	2928 (3.4)	987 (4.8)	9 (1.7)	21 (5.6)	11 (3.2)	< 0.001
Incisional hernia noted on exam	81 (0.1)	61 (0.1)	19 (0.1)	0	0	1 (0.3)	0.442
Operative drain still present at 30 days	322 (0.3)	254 (0.3)	67 (0.3)	0	0	1 (0.3)	0.533
Death during operation (intra-op death) or post-op death within 30 days of procedure	91 (0.1)	69 (0.1)	21 (0.1)	1 (0.2)	0	0	0.716
Death likely related to the operation	41/91 (45.05)	29/69 (42)	12/21 (57.1)	0	0	0	0.314
Most likely cause of death							0.294
Other respiratory failures	15/91 (16.48)	11	4	–	–	–
PE	12/91 (13.18)	5	7	–	–	–
Pneumonia	4/91 (4.39)	4	–	–	–	–
Bleeding	3/91 (3.29)	3	–	–	–	–
Vein thrombosis requiring therapy	2/91 (2.19)	–	2	–	–	–
Anastomotic/staple line leak	1/91 (1.09)	1	–	–	–	–
Fluid, electrolyte, or nutritional depletion	1/91 (1.09)	1	–	–	–	–
GI perforation	1/91 (1.09)	1	–	–	–	–
Other abdominal sepsis	1/91 (1.09)	1	–	–	–	–
Other	51/91 (56.04)	42	8	1	–	–
Days to discharge form hospital admit	1.7 ± 1.18	1.67 ± 1.13	1.81 ± 1.33	1.75 ± 1.5	1.79 ± 1.44	1.59 ± 0.7	< 0.001
Discharge destination other than home	545 (0.5)	379 (0.4)	159 (0.8)	4 (0.8)	2 (0.5)	1 (0.3)	< 0.001
Days to post-op assessment from operation	14.12 ± 7.5	14.13 ± 7.5	14.06 ± 7.5	14.32 ± 7.7	15.12 ± 7.8	14.5 ± 8.05	0.059
Patient was seen in any ED which did not result in an inpatient admission	6668 (6.2)	4965 (5.8)	1618 (7.8)	26 (4.9)	33 (8.8)	26 (7.6)	< 0.001
At least one post-op complication	6460 (6)	4921 (5.8)	1458 (7.1)	26 (4.9)	30 (8)	25 (7.4)	< 0.001
At least one readmission within 30 days of op	4107 (3.8)	2997 (3.5)	1067 (5.2)	17 (3.2)	16 (4.2)	10 (2.9)	< 0.001
At least one intervention within 30 days of op	1393 (1.3)	1005 (1.2)	366 (1.8)	6 (1.1)	10 (2.7)	6 (1.8)	< 0.001
At least one reoperation within 30 days of op	1256 (1.2)	980 (1.2)	259 (1.3)	7 (1.3)	5 (1.3)	5 (1.5)	0.744

UTI urinary tract infection, ICU intensive care unit, CPR cardiopulmonary resuscitation, CVA cerebrovascular accident, ED emergency department

With regards to postoperative complications, AAs had significantly higher rates of PE and also longer length of stay, while Asian patients had higher wound disruption, UTI, and MI. Native Hawaiian or other Pacific Islanders, on the other hand, had similar postoperative outcomes to White patients except higher superficial incisional SSI (Table 4).

Although the reoperation rate was not significantly different between groups in the beginning, it was significantly lower in the AA group (OR = 0.831, 95% CI 0.7–0.9) after adjusting for other factors. AA was also the only group, which significantly increased the odds of any postoperative complication (OR = 1.134, 95% CI 1.064–1.209) and readmission (OR = 1.477, 95% CI 1.358–1.606). For the 30-day postoperative intervention, American Indian or Alaska Native as well as AA were the two groups that increased the odds of this event in the adjusted analyses (Table 5).

Table 5

Racial disparity in four 30-day postoperative outcomes

30-day perioperative outcomes	Adjusted p value	Odds ratio (OR)	95% confidence interval (CI)
Postoperative complications
Black or African American	< 0.001	1.134	1.064–1.209
Asian	0.236	0.781	0.519–1.176
American Indian or Alaska Native	0.201	1.286	0.874–1.893
Native Hawaiian or other Pacific Islanders	0.211	1.301	0.861–1.966
Readmission
Black or African American	< 0.001	1.477	1.358–1.606
Asian	0.904	0.967	0.562–1.666
American Indian or Alaska Native	0.654	0.87	0.474–1.597
Native Hawaiian or other Pacific Islanders	0.12	0.539	0.247–1.175
Re-intervention
Black or African American	< 0.001	1.319	1.151–1.512
Asian	0.851	1.085	0.463–2.541
American Indian or Alaska Native	0.04	2.118	1.033–4.343
Native Hawaiian or other Pacific Islanders	0.465	1.403	0.565–3.487
Reoperation
Black or African American	0.023	0.831	0.709–0.974
Asian	0.928	1.042	0.424–2.56
American Indian or Alaska Native	0.512	0.703	0.246–2.014
Native Hawaiian or other Pacific Islanders	0.449	1.455	0.551–3.842

Discussion

We demonstrated racial disparity in four short-term postoperative outcomes after LRYGB and LSG using the largest available bariatric-specific database. Race was an independent risk factor for 30-day postoperative complications, readmission, and re-intervention, and African Americans had higher odds for all of these outcomes with exception of reoperation, in which they had a lower odds compared with Whites. In addition, re-intervention was significantly higher in American Indian or Alaska Natives when Whites considered as the reference group.

In this study, re-interventions were related to the metabolic and bariatric procedure in 88% of cases. Nausea and vomiting, fluid, electrolyte, or nutritional depletion was the most common etiology in all races except in Asians. Additionally, diagnostic and therapeutic endoscopies were most common types of intervention performed in all racial groups. Similar to re-intervention, majority of reoperations were related to the bariatric procedure (77%). Bleeding was the primary reason, and although reoperation type significantly varied among different races, re-exploration (not otherwise qualified) was the most common type in all groups.

Sheka and colleagues [18] have recently performed a similar study on MBSAQIP 2015. However, they only compared Black and White groups. They further classified the study population based on the principal procedure (LRYGB, LSG) and reported significantly longer length of stay and higher readmission rates in Black patients with both procedures. However, reoperation and re-intervention were significantly higher only in Black patients who underwent SG. They additionally showed significantly higher mortality rate in Black patients who had SG. Although race and specifically non-Hispanic Black race has been reported as an independent predictor of mortality [19], the mortality rate in this study was 0.1% and we did not find any significant difference in this variable among racial groups in our study population. Additionally, we also observed significantly longer length of stay in African Americans in this study (Table 4), a disparity that has been reported in other fields of surgery as well, and one that Wahl et al. [20] successfully eliminated in a study between Black and White patients undergoing colorectal surgery with enhanced recovery after surgery protocols.

Tiwari and colleagues [21] have also used a database with more than 37,000 patients who underwent laparoscopic gastric bypass over 4 years and reported race as a risk factor affecting postoperative outcomes in these patients. They also reported that a 30-day readmission was significantly higher in non-Hispanic Blacks compared with non-Hispanic Whites. African American race has been reported as an independent risk factor for readmission in many other studies as well [22-24]. In this study, the majority of readmissions (78%) were associated with the metabolic and bariatric procedure. Despite significant differences in cause of readmission among racial groups, nausea and vomiting, fluid, electrolyte, or nutritional depletion was the most common cause in all groups and the reason for almost one-fourth of all interventions after the primary procedure.

Postoperative complications were not listed separately in the multivariate logistic regression for each outcome model in order to reduce the number of variables and increase the accuracy of the analysis. However, we found results in univariate analyses that are comparable with previous studies. For instance, occurrence of PE was 1.93 times higher in AAs compared with Whites in our study, which may be secondary to a biological predilection, although this is unknown, and is especially puzzling since there were no significant differences in the preoperative rates of venous thromboembolism. This is comparable with the results of a study by Turner and colleagues [25] using the National Surgical Quality Improvement Program (NSQIP) database from 2005 to 2007 and reported increased rates of certain postoperative complications including 2.5 times higher PE in African American patients. Venous thrombosis was the third most common reason for readmission in AA patients in this study. Notably, preoperative IVC filter was significantly higher in AAs compared with White patients, while the preoperative rates of DVT or PE were not different between these two racial groups. However, over 80% of AAs who had IVC filter preoperatively received it in anticipation of the bariatric procedure as opposed to a pre-existing filter (18%). These findings are not easily explained. The higher mean preoperative BMI in the AA group and possibly anticipated longer operation times could perhaps account for the significantly higher rates of preoperative IVC filter placement in AAs compared with Whites even though the preoperative PE and DVT rates were similar between the groups.

In addition to postoperative outcomes, there were some differences in the patient characteristics, comorbidities, and perioperative factors (Tables 1, 2, and 3) among different races that were adjusted for in the multivariate logistic regression. For instance, despite LSG being the most common procedure performed in all racial groups, LRYGB was performed with even lower rates in AAs compared with Whites, which is similar to what was reported by Worni and colleagues [26] on the trends of LRYGB among different races from 2002 to 2008. However, this difference in the two procedures declined to the point that they were performed in almost equal proportions in Native Hawaiian or other Pacific Islander patients.

We have also demonstrated significant variation in obesity-related comorbidities among racial groups in this study population. American Indian or Alaska Native patients had the highest rate of diabetes (35.8%), while African Americans had the highest rates of hypertension (53.6%). These findings are comparable with those from the National Diabetes Statistics Report [27] and National Center for Health Statistics (NCHS) data brief on hypertension [28] by CDC in 2017, respectively.

Despite being the largest bariatric-specific dataset in the country with over 95% 30-day patient follow-up rate, MBSAQIP database is associated with a number of limitations. First, we were only able to test the variables that were presented in the database. For instance, factors that have been shown to affect patient outcomes such as socio-economic and insurance status, center volume, and surgeon experience are not included in the database [19, 29, 30]. Second, the retrospective nature of the study precludes randomization of study groups; as a result, many of the variables differed significantly among racial groups and adjusting was required in the final analyses.

Conclusion

Postoperative complications, readmission, re-intervention, and reoperation are generally uncommon events within 30 days of bariatric surgery with 6, 3.8, 1.3, and 1.2% prevalence respectively in those who underwent LRYGB or LSG captured in 2016 MBSAQIP PUF. However, these events occur disproportionately among different races. This study is one of the first to include other racial groups besides African American and White and report racial disparity in short-term postoperative outcomes of metabolic and bariatric procedures using 2016 MBSAQIP database. Knowing which racial groups are at risk for poorer outcomes can guide perioperative measures aimed at risk reduction. Lastly, the findings presented herein should provoke future studies on the etiology of these disparities as well as strategies by which they can be meaningfully addressed.