Racial Disparities in Bariatric Surgery Complications and Mortality Using the MBSAQIP Data Registry.

BACKGROUND: Racial disparities in postoperative complications have been demonstrated in bariatric surgery, yet the relationship of race to complication severity is unknown. STUDY
DESIGN: Adult laparoscopic primary bariatric procedures were queried from the 2015 and 2016 MBSAQIP registry. Adjusted logistic and multinomial regressions were used to examine the relationships between race and 30-day complications categorized by the Clavien-Dindo grading system.
RESULTS: A total of 212,970 patients were included in the regression analyses. For Black patients, readmissions were higher (OR = 1.39, p < 0.0001) and the odds of a Grade 1, 3, 4, or 5 complication were increased compared with White patients (OR = 1.21, p < 0.0001; OR = 1.21, p < 0.0001; OR = 1.22, p = 0.01; and OR = 1.43, p = 0.04) respectively. The odds of a Grade 3 complication for Hispanic patients were higher compared with White patients (OR = 1.59, p < 0.0001).
CONCLUSION: Black patients have higher odds of readmission and multiple grades of complications (including death) compared with White patients. Hispanic patients have higher odds of a Grade 3 complication compared with White patients. No significant differences were found with other races. Specific causes of these disparities are beyond the limitations of the dataset and stand as a topic for future inquiry.

Introduction

Obesity is the most prevalent chronic disease and a leading cause of morbidity and mortality in the USA. More than one-third of the US adult population meets the criteria for a diagnosis of obesity [1]. Obesity does not affect all racial and ethnic groups equally. According to the National Center for Health Statistics, non-Hispanic African American women are the most at-risk group, followed by Hispanic, non-Hispanic whites, and Asian women [1]. Similar trends are found among men. Weight loss surgery remains the most effective treatment for moderate to severe obesity and resolution of obesity-related comorbidities [2-7]. Most bariatric operations have very low rates of morbidity and mortality [8] and are among the more commonly performed operations in the USA [9].

Racial disparities in operative outcomes have been demonstrated in many major surgical operations [10-12] and parallel findings have been demonstrated in bariatric surgery [13-16]. There is a general consensus that racial and ethnic minorities lose less weight than White patients after bariatric surgery due to a host of influential factors such as the selection of surgery type, sex, age, and access to care [15, 17, 18]. The significant metabolic benefits after bariatric surgery are well-demonstrated; however, minority populations respond with less weight loss and less durable comorbidity resolution [19, 20]. In a retrospective study, Istfan et al. [21] found that Black patients had a higher rate of hemoglobin A1c level increase 2 years after Roux-en-Y gastric bypass, while these levels remained stable in Hispanic and White patients. To further complicate the issue, Wood et al. [15] found that despite less weight loss 1 year after surgery, remission of sleep apnea and gastroesophageal reflux disease was higher in Black patients.

Further disparities in morbidity and mortality after bariatric surgery have been observed [15, 22, 23]. Black patients undergoing bariatric surgery demonstrate higher in-hospital and 30-day mortality and increased rates of adverse events after bariatric surgery compared with counterparts of other races [14, 16, 24]. Black patients also have worse short-term outcomes, including longer hospital length of stay, increased readmissions, and higher rates of 30-day complications [14, 15]. However, the severity of post-bariatric surgery complications and the relationship to patient race remain unclear.

Previous studies have been limited to institutional or state-specific data and only a few studies have used large national databases. The objective of this study is to identify disparities in reported complications using 30-day data from the Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP) Participant Use Data File. The reported complications contained in the data set can be further categorized by severity using the Clavien-Dindo grading system [25]. A better understanding of the complication grades can assist in patient selection, perioperative counseling, and improvement of patient care.

Methods

The MBSAQIP data registry consists of annual data from metabolic and bariatric operations performed at centers accredited by the American College of Surgeons and the American Society for Metabolic and Bariatric Surgery. The MBSAQIP represents the largest bariatric-specific clinical dataset and assists in providing high-quality care for bariatric surgical patients by following a rigorous review process and maintaining certain standards of practice. Data are abstracted from medical records by certified reviewers and all accredited centers report their outcomes to the MBSAQIP database devoid of identifying data. This database serves as a valuable resource for clinical research and acts as the ideal source to investigate racial outcome disparities on a national scale.

Duke University institutional review board determined analysis of the MBSAQIP database is exempt from review under the category of previously collected anonymous data. The 2015 and 2016 MBSAQIP Participant Use Files were queried for subjects that underwent a laparoscopic primary bariatric operation of Roux-en-Y gastric bypass, sleeve gastrectomy, or duodenal switch using the appropriate CPT code. Subjects that had a revision/conversion principal operative procedure were under the age of 18, underweight (with a BMI of less than 18.5) post-operation, or were of an unknown race were then excluded from the dataset. Subjects that did not have complete data for the relevant covariates of interest were also excluded. The primary outcomes were 30-day readmission and the Clavien-Dindo complication grade that corresponds to that subject’s most severe complication. Clavien-Dindo grade definitions and associated MBSAQIP reported variables are described in Table 1 [14, 16, 26–37].

Table 1

Clavien-Dindo classification of surgical complications

Grade	Definition	MBSAQIP variables
I	Any deviation from the normal postoperative course without the need for pharmacological treatment or surgical, endoscopic, and radiological interventions	Superficial incisional SSI
		Dehydration treatment
		Emergency department visit
		Peripheral nerve injury
	Allowed therapeutic regimens are the following: drugs as antiemetics, antipyretics, analgesics, diuretics, electrolytes, and physiotherapy. This grade also includes wound infections opened at the bedside
II	Requiring pharmacological treatment with drugs or other than such allowed for grade I complications	Pneumonia
		Blood transfusion
		Urinary tract infection
		VTE requiring treatment
	Blood transfusions and transfusions and total parenteral nutrition are also included	Anticoagulation for VTE/PE
		Clostridium difficile
III	Requiring surgical, endoscopic, or radiological intervention	Wound disruption
		Incisional hernia
		Deep incisional SSI
		Organ space SSI
		Drain placement after 30 days
		Reoperation within 30 days
		Intervention within 30 days
IV	Life-threatening complication (including CNS complications*) requiring IC/ICU management	Acute renal failure
		Progressive renal insufficiency
		Myocardial infarction
		Stroke/CVA
		Ventilator > 48 h
		Unplanned intubation
		Pulmonary embolism
		Cardiac arrest
		Coma > 24 h
		Sepsis
		Septic shock
V	Death of a patient	30-day mortality

*Brain hemorrhage, ischemic stroke, and subarachnoid bleed, but excluding transient ischemic attacks [25]

CVA cerebrovascular accident, CNS central nervous system, IC intermediate care, ICU intensive care unit, PE pulmonary embolism, SSI surgical site infection, VTE venous thromboembolism

Summary data regarding demographics, comorbidity, and outcome information were collected. Categorical variables are summarized with frequency counts and percentages; continuous variables are summarized with means with standard deviations and ranges. The original “RACE” and “HISPANIC” ethnicity variables were used to create a new “Race/Ethnicity” variable. Subjects were classified as “Hispanic” (regardless of race) if [HISPANIC = “Yes”]. The remaining non-Hispanic subjects were classified according to the “RACE” variable, with “American Indian or Alaska Native” and “Native Hawaiian or Other Pacific Islander” subjects grouped into one “Other” category. Non-Hispanic subjects with [RACE = “Unknown/Not Reported”] were classified as missing. Differences between different racial groups for selected variables were assessed using Kruskal-Wallis tests for continuous variables, and Chi-Square tests for categorical variables. A multivariable, logistic regression analysis was conducted to model the relationship between race and 30-day readmission, after adjusting for relevant variables as covariates (Table 2). A multivariable, multinomial logistic regression model was also postulated to model the relationship between race and respective Clavien-Dindo grade (compared with having no complications) after adjusting for relevant variables as covariates. An ordinal logistic regression model was not used to assess this second relationship because the proportional odds assumption was not met. The covariates that were included in both models are summarized in Table 3, along with the procedure, postoperative BMI, and readmission information. Statistical analyses were conducted using SAS 9.4 (SAS Institute Inc., Cary, NC).

Table 2

MBSAQIP variables used in multivariable logistic regression analysis

Sex	On dialysis	Chronic steroids
Age	Renal insufficiency	Albumin
Race	Diabetes	Venous stasis
GERD	Current smoker within a year	Vein thrombosis
History of MI	COPD history	First assistant training level
Hypertension	Oxygen dependent	History of PE
Hyperlipidemia	Sleep apnea	Surgical approach

Table 3

Demographic, comorbidity, and readmission characteristics (by race)

	Asian (N = 985)	Black (N = 36,970)	Hispanic (N = 28,673)	Other (N = 1335)	White (N = 145,007)	Total (N = 212,970)	p value
Procedure (CPT)
Gastric bypass (43644)	285 (28.9%)	8719 (23.6%)	8196 (28.6%)	518 (38.8%)	43,635 (30.1%)	61,353 (28.8%)
Gastric bypass (43645)	2 (0.2%)	194 (0.5%)	410 (1.4%)	4 (0.3%)	688 (0.5%)	1298 (0.6%)
Sleeve gastrectomy (43775)	692 (70.3%)	27,885 (75.4%)	19,888 (69.4%)	798 (59.8%)	99,772 (68.8%)	149,035 (70.0%)
Duodenal switch (43845)	6 (0.6%)	172 (0.5%)	179 (0.6%)	15 (1.1%)	912 (0.6%)	1284 (0.6%)
Surgical approach
Conventional laparoscopic	962 (97.7%)	35,837 (96.9%)	27,602 (96.3%)	1281 (96.0%)	139,021 (95.9%)	204,703 (96.1%)
Laparoscopic assisted	23 (2.3%)	1133 (3.1%)	1071 (3.7%)	54 (4.0%)	5986 (4.1%)	8267 (3.9%)
30-day readmission	38 (3.9%)	2223 (6.0%)	1198 (4.2%)	53 (4.0%)	6155 (4.2%)	9667 (4.5%)
Sex (male)	283 (28.7%)	5197 (14.1%)	5760 (20.1%)	289 (21.6%)	32,949 (22.7%)	44,478 (20.9%)
Age, mean (SD)	42.3 (11.2)	42.8 (10.9)	40.7 (11.2)	42.7 (11.1)	45.9 (12.1)	44.6 (12.0)
Range	(19.9–73.5)	(18.0–79.6)	(18.0–80.0)	(18.0–76.3)	(18.0–80.0)	(18.0–80.0)
BMI (preoperative), mean (SD)	43.4 (7.9)	47.3 (8.8)	44.9 (7.8)	47.0 (9.2)	45.3 (8.0)	45.6 (8.1)	< 0.00011
Range	(30.0–98.5)	(28.4–147.1)	(27.0–105.5)	(30.3–100.2)	(27.5–121.2)	(27.0–147.1)
BMI (postoperative), mean (SD)	40.5 (7.2)	44.5 (8.2)	42.1 (7.2)	44.3 (8.7)	42.6 (7.4)	42.9 (7.6)
Range	(24.2–95.8)	(19.1–148.6)	(19.3–95.9)	(25.4–95.0)	(18.5–123.7)	(18.5–148.6)
GERD	202 (20.5%)	9473 (25.6%)	7032 (24.5%)	356 (26.7%)	50,062 (34.5%)	67,125 (31.5%)
History of MI	8 (0.8%)	379 (1.0%)	208 (0.7%)	16 (1.2%)	2387 (1.6%)	2998 (1.4%)
Hypertension	462 (46.9%)	20,465 (55.4%)	11,180 (39.0%)	638 (47.8%)	73,287 (50.5%)	106,032 (49.8%)	< 0.00012
Hyperlipidemia	282 (28.6%)	7378 (20.0%)	5313 (18.5%)	320 (24.0%)	39,963 (27.6%)	53,256 (25.0%)	< 0.00012
On dialysis	5 (0.5%)	246 (0.7%)	82 (0.3%)	8 (0.6%)	229 (0.2%)	570 (0.3%)	< 0.00012
Renal insufficiency	13 (1.3%)	420 (1.1%)	134 (0.5%)	15 (1.1%)	826 (0.6%)	1408 (0.7%)
Diabetes							< 0.00012
Insulin	123 (12.5%)	3354 (9.1%)	2336 (8.1%)	159 (11.9%)	13,231 (9.1%)	19,203 (9.0%)
Non-insulin	253 (25.7%)	6655 (18.0%)	5360 (18.7%)	280 (21.0%)	26,016 (17.9%)	38,564 (18.1%)
Current smoker within 1 year	94 (9.5%)	3032 (8.2%)	2326 (8.1%)	136 (10.2%)	13,762 (9.5%)	19,350 (9.1%)
COPD history	1 (0.1%)	596 (1.6%)	235 (0.8%)	23 (1.7%)	3048 (2.1%)	3903 (1.8%)	< 0.00012
Oxygen dependent	0 (0.0%)	245 (0.7%)	118 (0.4%)	6 (0.4%)	1388 (1.0%)	1757 (0.8%)
Sleep apnea	386 (39.2%)	12,923 (35.0%)	8792 (30.7%)	547 (41.0%)	58,347 (40.2%)	80,995 (38.0%)
Steroid/immunosuppressant use	14 (1.4%)	672 (1.8%)	394 (1.4%)	32 (2.4%)	2467 (1.7%)	3579 (1.7%)	< 0.00012
Albumin lab value, mean (SD)	4.1 (0.4)	3.9 (0.4)	4.1 (0.4)	4.0 (0.4)	4.1 (0.4)	4.0 (0.4)
Range	(2.2–5.2)	(1.0–10.0)	(1.0–9.4)	(2.8–7.4)	(1.0–10.0)	(1.0–10.0)
Venous stasis	13 (1.3%)	307 (0.8%)	283 (1.0%)	29 (2.2%)	2176 (1.5%)	2808 (1.3%)
Vein thrombosis	5 (0.5%)	638 (1.7%)	242 (0.8%)	12 (0.9%)	2767 (1.9%)	3664 (1.7%)
History of PE	3 (0.3%)	495 (1.3%)	138 (0.5%)	8 (0.6%)	1945 (1.3%)	2589 (1.2%)	< 0.00012
First assist training level
Attending—other	45 (4.6%)	2172 (5.9%)	2785 (9.7%)	68 (5.1%)	7905 (5.5%)	12,975 (6.1%)
Attending—weight loss surgeon	185 (18.8%)	5604 (15.2%)	4249 (14.8%)	252 (18.9%)	24,932 (17.2%)	35,222 (16.5%)
Minimally invasive surgery fellow	106 (10.8%)	3522 (9.5%)	2953 (10.3%)	77 (5.8%)	11,959 (8.2%)	18,617 (8.7%)
None (scrub tech/RN only)	106 (10.8%)	5639 (15.3%)	3216 (11.2%)	210 (15.7%)	23,420 (16.2%)	32,591 (15.3%)
Physician assistant/nurse practitioner/registered nurse	390 (39.6%)	12,666 (34.3%)	9032 (31.5%)	626 (46.9%)	57,636 (39.7%)	80,350 (37.7%)
Resident (PGY 1–5+)	153 (15.5%)	7367 (19.9%)	6438 (22.5%)	102 (7.6%)	19,155 (13.2%)	33,215 (15.6%)

SD standard deviation, GERD gastroesophageal reflux disease, HLD hyperlipidemia, MI myocardial infarction, COPD chronic obstructive pulmonary disease, PE pulmonary embolism, PGY postgraduate year

1Kruskal Wallis

2Chi-square

Results

Initial query of the 2015 and 2016 MBSAQIP databases generate 411,972 unique participates. After implementing primary operation and operation type inclusion criteria, 329,681 participants remained. After applying the exclusion criteria (revision/conversion principal operative procedure, underweight with a BMI of 18.5, age under 18, or were of an unknown race), there were 288,844 participants remaining in the dataset. After removing the participants that did not have complete data for the variables included in the regression models, 212,970 subjects remained. There were 75,874 participants with missing data (26.3% of the 288,844 participants) (Fig. 1). Of the 212,970 subjects with complete data included in the analysis, 44,478 (20.9%) subjects were male. The average age of subjects in the cohort was 44.6 (SD 12.0) years. A total of 145,007 (68.1%) subjects were non-Hispanic White subjects, 36,970 (17.4%) subjects were non-Hispanic blacks, 28,673 (13.5%) subjects were Hispanic, 985 (0.5%) subjects were non-Hispanic Asians, and 1335 (0.6%) subjects had other racial self-identification. The mean preoperative BMI closest to bariatric surgery was 45.6 (SD 8.1), with a mean postoperative BMI of 42.9 (SD 7.6). Complete demographic and comorbidity information are shown in Table 3.

Fig. 1

CONSORT flow diagram

Procedure and Surgical Approach Information

Procedure and outcome information are also included in Table 3. A total of 149,035 (70.0%) subjects underwent a sleeve gastrectomy (CPT 43775). A total of 62,651 (29.4%) subjects underwent a Roux-en-Y gastric bypass (61,353 subjects with a CPT code of 43,644, and 1298 subjects with a CPT code of 43,645). A total of 1284 (0.6%) subjects underwent a biliopancreatic diversion with duodenal switch (CPT 43845). A total of 204,703 (96.1%) subjects had a conventional laparoscopic surgical approach and 8267 (3.9%) subjects had a laparoscopic-assisted surgical approach.

Outcome Information: 30-Day Readmission and Clavien-Dindo Grade Classification

A 30-day readmission and Clavien-Dindo Grade Classification information are included in Tables 4 and 5. A total of 9667 subjects (4.5%) had at least one readmission within 30 days of operation. A total of 193,116 (90.7%) subjects had none of the complications associated with the five Clavien-Dindo grade classifications. A total of 206 (0.1%) subjects died within 30 days of the operation, resulting in a Grade V classification. A total of 1123 (0.5%) subjects had their most severe complication correspond to a Grade IV classification; 6497 (3.1%) subjects had their most severe complication correspond to a Grade III classification; 2775 (1.3%) subjects had their most severe complication correspond to a Grade II classification; and 9253 (4.3%) subjects had their most severe complication correspond to a Grade I classification.

Table 4

Clavien-Dindo characteristics (by race)

	Asian (N = 985)	Black (N = 36,970)	Hispanic (N = 28,673)	Other (N = 1335)	White (N = 145,007)	Total (N = 212,970)
Clavien-Dindo Grade I	33 (3.4%)	1984 (5.4%)	1232 (4.3%)	62 (4.6%)	5942 (4.1%)	9253 (4.3%)
Superficial incisional SSI	9 (0.9%)	146 (0.4%)	139 (0.5%)	10 (0.7%)	966 (0.7%)	1270 (0.6%)
Dehydration treatment	11 (2.2%)	1118 (5.8%)	570 (3.8%)	33 (5.0%)	3099 (4.2%)	4831 (4.4%)
Emergency department visit	23 (4.5%)	1599 (8.2%)	1015 (6.7%)	56 (8.5%)	4559 (6.1%)	7252 (6.6%)
Peripheral nerve injury	0 (0.0%)	1 (0.0%)	0 (0.0%)	0 (0.0%)	12 (0.0%)	13 (0.0%)
Clavien-Dindo Grade II	13 (1.3%)	466 (1.3%)	334 (1.2%)	22 (1.6%)	1940 (1.3%)	2775 (1.3%)
Pneumonia	6 (0.6%)	254 (0.7%)	214 (0.7%)	6 (0.4%)	1065 (0.7%)	1545 (0.7%)
Blood transfusion	9 (0.7%)	356 (0.7%)	278 (0.7%)	13 (0.7%)	1461 (0.7%)	2117 (0.7%)
Urinary tract infection	6 (0.6%)	138 (0.4%)	97 (0.3%)	7 (0.5%)	560 (0.4%)	808 (0.4%)
VTE requiring treatment	1 (0.1%)	85 (0.2%)	67 (0.2%)	3 (0.2%)	315 (0.2%)	471 (0.2%)
Anticoagulation for VTE/PE	3 (0.3%)	210 (0.6%)	134 (0.5%)	6 (0.4%)	659 (0.5%)	1012 (0.5%)
Clostridium difficile	0 (0.0%)	25 (0.1%)	9 (0.1%)	2 (0.3%)	156 (0.2%)	192 (0.2%)
Clavien-Dindo Grade III	22 (2.2%)	1248 (3.4%)	1213 (4.2%)	27 (2.0%)	3987 (2.7%)	6497 (3.1%)
Wound disruption	1 (0.1%)	22 (0.1%)	27 (0.1%)	1 (0.1%)	82 (0.1%)	133 (0.1%)
Incisional hernia	1 (0.1%)	29 (0.1%)	17 (0.1%)	1 (0.1%)	140 (0.1%)	188 (0.1%)
Deep incisional SSI	0 (0.0%)	31 (0.1%)	19 (0.1%)	2 (0.1%)	135 (0.1%)	187 (0.1%)
Organ/space SSI	2 (0.2%)	68 (0.2%)	68 (0.2%)	2 (0.1%)	417 (0.3%)	557 (0.3%)
Drain placement after 30 days	2 (0.2%)	60 (0.2%)	464 (1.6%)	1 (0.1%)	301 (0.2%)	828 (0.4%)
Reoperation within 30 days	11 (1.1%)	595 (1.6%)	396 (1.4%)	16 (1.2%)	2122 (1.5%)	3140 (1.5%)
Intervention within 30 days	14 (1.4%)	810 (2.2%)	469 (1.6%)	18 (1.3%)	2320 (1.6%)	3631 (1.7%)
Clavien-Dindo Grade IV	3 (0.3%)	236 (0.6%)	100 (0.3%)	4 (0.3%)	780 (0.5%)	1123 (0.5%)
Acute renal failure	2 (0.2%)	35 (0.1%)	13 (0.0%)	0 (0.0%)	112 (0.1%)	162 (0.1%)
Progressive renal insufficiency	1 (0.1%)	55 (0.1%)	15 (0.1%)	2 (0.1%)	104 (0.1%)	177 (0.1%)
Myocardial infarction	2 (0.2%)	8 (0.0%)	8 (0.0%)	1 (0.1%)	70 (0.0%)	89 (0.0%)
Stroke/CVA	0 (0.0%)	5 (0.0%)	1 (0.0%)	0 (0.0%)	19 (0.0%)	25 (0.0%)
Ventilator > 48 h	0 (0.0%)	2 (0.0%)	0 (0.0%)	0 (0.0%)	1 (0.0%)	3 (0.0%)
Unplanned intubation	1 (0.1%)	77 (0.2%)	24 (0.1%)	2 (0.1%)	284 (0.2%)	388 (0.2%)
Pulmonary embolism	1 (0.1%)	67 (0.2%)	25 (0.1%)	1 (0.1%)	157 (0.1%)	251 (0.1%)
Cardiac arrest	0 (0.0%)	15 (0.0%)	7 (0.0%)	1 (0.1%)	52 (0.0%)	75 (0.0%)
Coma > 24 h	0 (0.0%)	4 (0.0%)	1 (0.0%)	0 (0.0%)	9 (0.0%)	14 (0.0%)
Sepsis	0 (0.0%)	39 (0.1%)	31 (0.1%)	4 (0.3%)	192 (0.1%)	266 (0.1%)
Septic shock	0 (0.0%)	40 (0.1%)	31 (0.1%)	4 (0.3%)	198 (0.1%)	273 (0.1%)
Clavien-Dindo Grade V	2 (0.2%)	46 (0.1%)	13 (0.0%)	2 (0.1%)	143 (0.1%)	206 (0.1%)
30-day mortality	2 (0.2%)	46 (0.1%)	13 (0.0%)	2 (0.1%)	143 (0.1%)	206 (0.1%)

Table 5

Relationship between race and 30-day readmission

Covariates	Adjusted OR (95% CI)	P value
Race*	Reference
White
Asian	0.95 (0.68, 1.31)	0.74
Black	1.39 (1.32, 1.46)	< 0.0001
Hispanic	1.02 (0.96, 1.09)	0.50
Other	0.93 (0.70, 1.22)	0.59
Age of patient at time of surgery (per 1-year increase)	0.99 (0.99, 0.99)	< 0.0001
Sex	Reference
Female
Male	0.85 (0.81, 0.90)	< 0.0001
BMI (per 1-year increase)	1.01 (1.00, 1.01)	< 0.0001
GERD (reference: no history in last 30 days)	1.43 (1.37, 1.50)	< 0.0001
History of MI (reference: no history)	1.26 (1.09, 1.46)	0.002
Hypertension requiring medication (reference: none at time of operation)	1.08 (1.03, 1.13)	0.003
Hyperlipidemia (reference: none at time of operation)	1.08 (1.02, 1.14)	0.008
Dialysis (reference: none at time of operation)	1.53 (1.15, 2.03)	0.004
Renal insufficiency (reference: none at time of operation)	1.49 (1.23, 1.81)	< 0.0001
Diabetes*	Reference
No
Non-Insulin	1.07 (1.01, 1.13)	0.02
Insulin	1.50 (1.40, 1.61)	< 0.0001
Current smoker within 1 year (reference: non-smoker within 1 year)	1.06 (0.98, 1.13)	0.13
History of COPD (reference: no history)	1.27 (1.12, 1.45)	0.0003
Oxygen dependent (reference: none at time of operation)	1.48 (1.24, 1.76)	< 0.0001
Sleep apnea (reference: none at time of operation)	1.08 (1.03, 1.13)	0.0009
Steroid/immunosuppressant use (reference: none at time of operation)	1.16 (1.01, 1.34)	0.03
Albumin lab value (per one unit increase)	0.81 (0.77, 0.85)	< 0.0001
Venous stasis (reference: none at time of operation)	1.06 (0.91, 1.25)	0.45
Vein thrombosis (reference: none at time of operation)	1.75 (1.54, 1.98)	< 0.0001
History of PE (reference: no history)	1.40 (1.21, 1.63)	< 0.0001
First assistant training level*	Reference
None (no assist or scrub tech/RN only)
Other	0.91 (0.82, 1.01)	0.07
Resident (PGY 1–5+)	1.14 (1.06, 1.23)	0.0005
Physician assistant/nurse practitioner/registered nurse	1.05 (0.98, 1.12)	0.16
Minimally invasive surgery fellow	1.18 (1.08, 1.28)	0.0002
Weight loss surgeon	1.08 (1.01, 1.17)	0.03
Surgical approach	Reference
Conventional laparoscopic (thoracoscopic)
Laparoscopic assisted (thoracoscopic assisted)	0.96 (0.86, 1.07)	0.43

Odds ratios and 95% confidence intervals from modeling respective non-White racial statuses compared with White racial status on 30-day readmission after adjusting for covariates (N = 212,970). (*Denotes a p < 0.0001 for type 3 analysis of effects for variables with multiple categorical levels)

Association Between Race and 30-Day Readmission

The results of the multivariable logistic regression model assessing the relationship between race and 30-day readmission are summarized in Table 5. For Black individuals in the analysis dataset, the odds of readmission within 30 days of surgery were 39% higher (OR = 1.39; 95% CI = 1.32, 1.46; p < 0.0001) compared with White individuals after adjusting for covariates. The other racial groups in the analysis dataset (Asian, Hispanic, Other) did not have a statistically significant difference in odds of 30-day readmission compared with White individuals.

Association Between Race and Clavien-Dindo Grade Classification

The results of the multivariable multinomial logistic regression model assessing the relationship between race and Clavien-Dindo grade are summarized in Table 6. After adjusting for covariates, the odds of having a Grade I, III, IV, or V complication as the most severe complication, compared with having no complication at all, were 21% (OR = 1.21; 95% CI = 1.15, 1.28; p < 0.0001), 21% (OR = 1.21; 95% CI = 1.13, 1.29; p < 0.0001), 22% (OR = 1.22; 95% CI = 1.04, 1.42; p = 0.01), and 43% (OR = 1.43; 95% CI = 1.01, 2.03; p = 0.04) higher for Black individuals compared with White individuals respectively. Hispanic individuals have 59% higher odds of a Grade 3 complication as the most severe complication compared with no complication (OR = 1.59; 95% CI = 1.49, 1.70; p < 0.0001) when compared with White individuals.

Table 6

Odds ratios of Clavien-Dindo complications by race

Odds ratios and 95% confidence intervals from modeling respective non-White racial statuses compared with White racial status on Clavien-Dindo grading (compared with “No Grade”) after adjusting for covariates (N = 212,970)
Covariate	OR (95% CI)	P value	Bonferroni
Clavien-Dindo Grade 1: (Asian vs White)	0.83 (0.58, 1.17)	0.28	NS
Clavien-Dindo Grade 2: (Asian vs White)	1.06 (0.61, 1.83)	0.85	NS
Clavien-Dindo Grade 3: (Asian vs White)	0.86 (0.56, 1.31)	0.48	NS
Clavien-Dindo Grade 4: (Asian vs White)	0.62 (0.20, 1.93)	0.41	NS
Clavien-Dindo Grade 5: (Asian vs White)	2.77 (0.68, 11.35)	0.16	NS
Clavien-Dindo Grade 1: (Black vs White)	1.21 (1.15, 1.28)	< 0.0001	S
Clavien-Dindo Grade 2: (Black vs White)	0.94 (0.85, 1.05)	0.28	NS
Clavien-Dindo Grade 3: (Black vs White)	1.21 (1.13, 1.29)	< 0.0001	S
Clavien-Dindo Grade 4: (Black vs White)	1.22 (1.04, 1.42)	0.01	NS
Clavien-Dindo Grade 5: (Black vs White)	1.43 (1.01, 2.03)	0.04	NS
Clavien-Dindo Grade 1: (Hispanic vs White)	1.04 (0.97, 1.11)	0.28	NS
Clavien-Dindo Grade 2: (Hispanic vs White)	0.95 (0.84, 1.07)	0.40	NS
Clavien-Dindo Grade 3: (Hispanic vs White)	1.59 (1.49, 1.70)	< 0.0001	S
Clavien-Dindo Grade 4: (Hispanic vs White)	0.87 (0.70, 1.07)	0.19	NS
Clavien-Dindo Grade 5: (Hispanic vs White)	0.74 (0.42, 1.32)	0.31	NS
Clavien-Dindo Grade 1: (Other vs White)	1.08 (0.84, 1.40)	0.55	NS
Clavien-Dindo Grade 2: (Other vs White)	1.28 (0.84, 1.95)	0.26	NS
Clavien-Dindo Grade 3: (Other vs White)	0.73 (0.50, 1.07)	0.11	NS
Clavien-Dindo Grade 4: (Other vs White)	0.60 (0.22, 1.60)	0.30	NS
Clavien-Dindo Grade 5: (Other vs White)	1.70 (0.42, 6.91)	0.46	NS

Multivariable multinomial logistic regression model assessing the relationship between race and Clavien-Dindo grade after adjusting for the following covariates: sex, age, race, GERD, history of MI, hypertension, hyperlipidemia, on dialysis, renal insufficiency, diabetes, current smoker within 1 year, COPD history, oxygen dependent, sleep apnea, chronic steroids, albumin, venous stasis, vein thrombosis, history of PE, first assistant training level, and surgical approach

NS not significant, S significant

Discussion

This study of nearly 213,000 individuals found significant disparities in perioperative complication events based on race in individuals that had a primary laparoscopic bariatric operation. Racial disparities have been previously demonstrated and continue to hold important implications due to the growing emphasis on surgical quality improvement and a culture of safety. Disparities can contribute to rising healthcare costs as postoperative complications are a major factor in overall expenditures and resource utilization [38-40]. The patient’s perspective and quality of life beyond financial considerations is of great importance and should not be overlooked. Although many minor surgical complications may not have lasting consequences, more severe complications can have significant ramifications contributing to patient disability, stress, and survival. While a certain level of postoperative complications are to be expected, acceptance of complications may vary depending on the previous health of the patient. For example, patients with dramatic improvement of their clinical condition after bariatric surgery may be more willing to accept minor complications as a valid trade-off for improved health as a result of the weight loss operation.

Bariatric surgery remains safe with relatively low short-term mortality rates ranging from 0.09 to 0.2% [8, 14–16, 41]. These figures are consistent with our findings from the MBSAQIP dataset. Published rates for complications are less clear and interpretations can be confusing as they often vary depending on loose definitions and the specific operations included in the study.

Previous studies have examined racial disparities specific to bariatric surgery outcomes. In 2013, using data extracted from the Nationwide Inpatient Sample between 1999 and 2007, Nguyen et al. [16] found that Black individuals had 73% higher odds of 30-day mortality and the findings were even more pronounced for males. Their analysis included over 100,000 predominately restrictive procedures with some mixed/malabsorptive procedures. Both open and laparoscopic approaches were included. Sheka et al. [14], using MBSAQIP data from 2015, similarly found that Black patients demonstrated increased mortality after laparoscopic sleeve gastrectomy, but not for laparoscopic gastric bypass. They also found that Black patients had longer hospital lengths of stay, higher readmission rates, and higher reoperation rates after laparoscopic sleeve gastrectomy. Interestingly, Wood et al. [15] recently published a study that failed to show any difference in mortality or serious complications between Black and White patients after primary gastric bypass, sleeve gastrectomy, or adjustable gastric banding using data from the Michigan Bariatric Surgery Collaborative. There was a small increase in rates of any complication and reoperation, but no difference in serious complications after adjusting for surgeon and hospital effects. Readmission rates were significantly higher for Black patients after adjusting for patient, surgeon, and hospital factors.

Reporting surgical complications can be confusing and controversial as definitions are wide and varied, making comparisons difficult. The American Society for Metabolic and Bariatric Surgery has established recommendations for a standardized framework for reporting early complications (within 30 days of surgery) using “major” and “minor” designations [42]. Major complications are those that result in a prolonged hospital stay (longer than 7 days), anticoagulation, reoperation, or reintervention; all other complications are classified as minor. Despite these recommendations, the lack of granularity in the “major/minor” system, and variations in results found in the literature make it difficult to attain accurate assessments and draw conclusions.

The Clavien-Dindo grade classification, originally developed in 1992 and revised in 2004, establishes a validated grading system with well-defined definitions for perioperative complications [25]. According to this system, a complication is defined as any deviation from the postoperative course. This classification focuses primarily on therapeutic consequences (e.g., intensive care transfers) or surgical interventions, as these events are associated with increased mortality, patient stress, and resource consumption [25]. In addition, this system allows for more detailed, reproducible, and comparable stratification of complications across centers and disciplines.

Our findings are consistent with those reported by others regarding readmission rates among Black patients compared with White patients, with 39% higher odds of readmission after adjusting for covariates. Readmission stands a significant contributor to resource utilization and cause of distress to the patient. Previous studies have demonstrated that resource utilization is in part affected by racial differences in socioeconomic factors such as social support, access to transportation, payor status, and primary care physician access [43-45]. Racial differences between the patient and surgeon can lead to communication barriers and poor understanding of postoperative instructions. Such breakdowns have been shown to contribute to higher readmission rates in Black patients [46] and may also be present in the bariatric population. Geographic, socioeconomic, or payor status information is not included in the MBSAQIP registry. Information regarding the potential reason for readmission including whether the readmission was likely related to surgery, days from operation to readmission, or most likely reason for readmission are available in the supplemental file; however, these variables were not included in our analysis. Further investigation may elucidate possible causes and potential interventions.

The more alarming results of this study are the disparities in complications for Black patients. Multinomial logistic regression models showed that Black individuals had higher odds of Clavien-Dindo Grade I, III, IV, and V as their most severe complication compared with White individuals. Specifically, compared with having no complications, Black subjects had 43% higher odds of 30-day mortality compared with White patients (Clavien-Dindo Grade V). The mixed results from previous studies may be due to low complication rates, resulting in a lack of power to detect statistically significant differences. While previous studies often categorized complications as minor or major, we believe that grouping individual complication events into Clavien-Dindo grades allows for more precise categorizations.

The finding that Hispanic patients have 59% higher odds of a Grade III complication is intriguing. By definition, Grade III complications are complications that require surgical, endoscopic, or radiologic intervention, likely representing leaks or bleeding. Further investigation into the individual components included in this grade demonstrated that the bulk of the occurrences were related to having a drain in place 30 days after surgery. Specific reasons behind this are unclear and may reflect an increased incidence of postoperative leak. The MBSAQIP does not have a specific variable for leaks and many authors use drain in place after 30 days as a surrogate [47, 48]. However, this is at odds with the finding that Hispanic patients have less organ space infections; one would also expect to see an increase in Hispanic patients with a leak.

There are several limitations of this study. While the MBSAQIP data set is the most comprehensive bariatric database available, it is devoid of information that may identify surgeon training level and experience [12, 49–51]. Details of patient income level, insurance status, and geographic location are also absent from the dataset, and may provide additional information regarding socioeconomic factors. While the proportions found in the data set may approximate the general population as a whole [52], estimates indicate that obesity is much higher in Blacks and Hispanics [53] suggesting a disparity in access. While only 5 of the 20 comparisons garnered statistically significant results (Table 6), three remained (Grades I, III, and IV) remained significant for Black patients after adjusting for multiple comparisons using the Bonferroni approach, suggesting increased risk of a complication when separated by severity. The considerably smaller sizes of the Asian and Other race groups likely negatively influenced our ability to make any meaningful conclusions compared with the White and Black groups. Of note, we feel that the study is adequately powered regarding the comparison of White and Black patients and these demographics comprise the majority of bariatric operations in the USA.

Significant challenges exist in surgical health disparities research and intervention. Most studies, including this one, utilize retrospective data often collected for other purposes that lack important information on race. A meta-analysis by Haider et al. [12] systematically describes several factors that contribute to disparities including insurance and socioeconomic status, patient willingness to undergo surgery, advanced presentation and disease burden, access to and type of surgery selected, surgeon volume and experience, and hospital volume. Some disparities are known to persist even after controlling for insurance status and socioeconomic status [54, 55]. These conflicting findings highlight the complexity of the topic and prospective studies are needed to better understand patient and surgeon decision making, develop standardized management plans, and to assess the impact of interventions. Enhanced recovery pathways have demonstrated significant improvements in perioperative care by standardizing care [56] and adoption of standardized protocols may help reduce underlying implicit bias that can result in outcome disparities [57, 58].

Improved communication decreases health disparities and further promotes equality [59, 60]. The ACCURE Trial was able to reduce the racial disparities in breast and lung cancer by implementing a multifaceted, system-based protocol with race-specific alerts for improved communication between surgeon, patient, and other team members [61]. Similar principles may be useful for bariatric patients.

Reducing inequity in surgery access has been shown to eliminate disparities and could stand as a possible target of intervention as racial minorities undergo bariatric surgery at disproportionately low rates [62]. Further information regarding surgeon and hospital volume may be useful in identifying and improving structural mechanisms that limit access to minority populations. In an analysis of coronary bypass patients, Kim et al. [62] demonstrated a significant relationship between hospital volume and mortality after controlling for patient factors as the benefit of higher-volume hospitals was stronger for Blacks than Whites. One limitation of the MBSAQIP is its lack of surgeon and hospital information regarding volume, region, and patient socioeconomic specifics which may be used to identify possible solutions.

This study utilizes a large national registry with robust and validated data and adds to a growing body of literature demonstrating racial disparities involving bariatric surgery. Future research should work to provide qualitative information to provide standardized care and improved communication.

Conclusion

Bariatric surgery remains effective and safe with relatively low complication rates. However, significant racial disparities exist. Compared with White individuals, Black individuals have higher odds of readmission and many Clavien-Dindo grades, including higher odds of death compared with White patients. Compared with White patients, Hispanic patients have higher odds of moderately severe complications requiring invasive intervention. Specific causes or contributory factors of these disparities are beyond the limitations of the dataset and stands as a topic for future inquiry.