| Literature DB >> 35499637 |
Sarah E Messiah1,2,3, Luyu Xie4, Matthew Sunil Mathew5,6,4, Elisa Marroquin Marroquín5,6,4, Jaime P Almandoz7, Faisal G Qureshi8, Benjamin E Schneider8, Nestor de la Cruz-Muñoz9.
Abstract
BACKGROUND: Metabolic and bariatric surgery (MBS) is a safe and effective treatment option for severe obesity. The utilization and health and safety outcomes of MBS in the United States (US) during the COVID-19 pandemic versus 2015-2019 among adolescent and adult populations and by ethnic group is largely unknown.Entities:
Keywords: Bariatric surgery; COVID-19; Safety; United States; Utilization
Mesh:
Year: 2022 PMID: 35499637 PMCID: PMC9059108 DOI: 10.1007/s11695-022-06077-x
Source DB: PubMed Journal: Obes Surg ISSN: 0960-8923 Impact factor: 3.479
Please specify the significance of bold entries reflected inside Tables 1 and 2 byPre-operative characteristics of youth ≤ 19 years old and adult patients who completed metabolic and bariatric surgery, MBSAQIP data, 2015–2020
| Variable | Youth ( | Adults ( | |
|---|---|---|---|
| Age, mean (SD), years | 17.88 (1.24) | 45.31 (11.91) | < 0.001 |
| Sex, female, | 4363 (76.88) | 911,501 (80.76) | < 0.001 |
| Race/ethnicity, | |||
Hispanic Non-Hispanic White Non-Hispanic Black Other/multiracial | 1079 (19.03) 2579 (45.48) 877 (15.46) 1136 (20.03) | 105,379 (9.34) 659,758 (58.46) 187,081 (16.58) 176,363 (15.63) | < 0.001 |
| Pre-op BMI closest to bariatric surgery, mean (SD) | |||
BMI < 35, 35 ≤ BMI < 40, 40 ≤ BM < 50, BMI ≥ 50, | 124 (2.20) 806 (14.32) 3000 (53.29) 1700 (30.20) | 83,854 (7.55) 256,098 (23.05) 538,767 (48.49) 232,343 (20.91) | < 0.001 |
| Highest pre-op BMI, mean (SD) | |||
BMI < 35, 35 ≤ BMI < 40, 40 ≤ BM < 50, BMI ≥ 50, | 54 (1.0) 428 (7.91) 2923 (54.01) 2007 (37.08) | 47,516 (4.48) 175,242 (16.53) 541,783 (51.11) 295,474 (27.87) | < 0.001 |
| Procedure type, | |||
LSG LRYGB Other | 4529 (79.79) 884 (15.57) 263 (4.63) | 697,056 (61.75) 275,463 (24.40) 156,327 (13.85) | < 0.001 |
| Comorbidities, | |||
| Hypertension | 425 (7.49) | 521,872 (46.23) | < 0.001 |
| Hyperlipidemia | 117 (2.06) | 258,653 (22.91) | < 0.001 |
| Type 2 diabetes | 743 (13.09) | 272,367 (24.13) | < 0.001 |
| GERD | 638 (11.24) | 365,191 (32.35) | < 0.001 |
| Sleep apnea | 1022 (18.01) | 401,276 (35.55) | < 0.001 |
| Chronic steroid use, | 56 (0.99) | 21,202 (1.88) | < 0.001 |
| N surgeries by yeara, | |||
2015 2016 2017 2018 2019 2020 | 1154 (20.33) 726 (12.79) 841 (14.82) 845 (14.89) 970 (17.09) 1140 (20.08) | 166,894 (14.78) 185,987 (16.48) 199,442 (17.67) 203,907 (18.06) 205,232 (18.18) 167,384 (14.83) | < 0.001 |
LSG, laparoscopic sleeve gastrectomy; LRYGB, laparoscopic Roux-en-Y gastric bypass; BMI, body mass index; GERD, gastroesophageal reflux disease
aTotal MBSAQIP centers by year; 2015 (n = 742); 2016 (n = 791); 2017 (n = 832); 2018 (n = 854); 2019 (n = 868); 2020 (n = 885)
Comparison of 30-day mortality and morbidity for patients who completed bariatric surgery among US youth and adults, pre-COVID-19 pandemic, and during the first year of the pandemic, MBSAQIP data, 20,152,020
| Youth ( | |||||||
| Pre-pandemic | Pandemic | ||||||
| 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | ||
| Bariatric procedures, | 1154 | 726 | 841 | 845 | 970 | 1140 | |
| Mortality, | 1 (0.08%) | 0 (0) | 0 (0) | 2 (0.24%) | 0 (0%) | 0 (0) | 0.592 |
| Reoperation, | 17 (1.47%) | 9 (1.24%) | 5 (0.59%) | 10 (1.18%) | 7 (0.72%) | 4 (0.35%) | 0.006 |
| Readmission, | 39 (3.38%) | 26 (3.58%) | 24 (2.85%) | 25 (2.96%) | 29 (2.99%) | 24 (2.11%) | 0.066 |
| Reintervention, | 17 (1.47%) | 14 (1.93%) | 6 (0.71%) | 5 (0.59%) | 4 (0.41%) | 7 (0.61%) | < 0.001 |
| Stroke, | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | - |
| Intraoperative/ post MI, | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | - |
| Pulmonary embolism, | 1 (0.09%) | 0 (0) | 1 (0.12%) | 1 (0.12%) | 1 (0.10%) | 0 (0) | 0.733 |
| Post-operative DVT, | 0 (0) | 0 (0) | 2 (0.24%) | 0 (0) | 1 (0.10%) | 1 (0.09%) | 0.444 |
| Septic shock, | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | - |
| Sepsis, | 0 (0) | 1 (0.14%) | 0 (0) | 1 (0.11%) | 0 (0) | 0 (0) | 0.389 |
| Adults ( | |||||||
| Pre-pandemic | Pandemic | ||||||
| 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | ||
| Bariatric procedures, | 166,894 | 185,987 | 199,442 | 203,907 | 205,232 | 167,384 | |
| Mortality, | 219 (0.13%) | 207 (0.11%) | 201 (0.10%) | 235 (0.12%) | 239 (0.12%) | 130 (0.08%) | < 0.001 |
| Reoperation, | 2844 (1.70%) | 2894 (1.56%) | 3032 (1.52%) | 3087 (1.51%) | 3292 (1.60%) | 2027 (1.21%) | < 0.001 |
| Readmission, | 7739 (4.64%) | 7916 (4.26%) | 7862 (3.94%) | 8086 (3.97%) | 8302 (4.05%) | 5410 (3.23%) | < 0.001 |
| Reintervention, | 3108 (1.86%) | 3020 (1.62%) | 2816 (1.41%) | 2774 (1.36%) | 2836 (1.38%) | 1453 (0.87%) | < 0.001 |
| Stroke, | 21 (0.01%) | 17 (0.01%) | 30 (0.02%) | 31 (0.02%) | 41 (0.02%) | 21 (0.01%) | 0.127 |
| Intraoperative/post MI, | 57 (0.03%) | 57 (0.03%) | 66 (0.03%) | 58 (0.03%) | 54 (0.03%) | 49 (0.03%) | 0.209 |
| Pulmonary embolism, | 205 (0.12%) | 216 (0.12%) | 231 (0.12%) | 257 (0.13%) | 271 (0.13%) | 233 (0.14%) | 0.044 |
| Post-operative DVT, | 308 (0.18%) | 336 (0.18%) | 353 (0.18%) | 388 (0.19%) | 438 (0.21%) | 363 (0.22%) | 0.001 |
| Septic shock, | 38 (0.02%) | 43 (0.02%) | 50 (0.03%) | 54 (0.03%) | 74 (0.04%) | 138 (0.08%) | < 0.001 |
| Sepsis, | 56 (0.03%) | 76 (0.04%) | 69 (0.03%) | 93 (0.05%) | 82 (0.04%) | 206 (0.12%) | < 0.001 |
aP value was computed by Cochran-Armitage trend test
Fig. 1A Number of bariatric surgeries completed in 2015–2019 (pre-pandemic) versus 2020 (pandemic) in youth, overall, and by ethnicity. A Cochran-Armitage trend test was performed to compare the utilization numbers by time period for the overall sample and stratified by ethnic group. B Number of bariatric surgeries completed in 2015–2019 (pre-pandemic) versus 2020 (pandemic) in adults, overall, and by ethnicity. A Cochran-Armitage trend test was performed to compare the utilization numbers by time period for the overall sample and stratified by ethnic group
Odds of hospital readmission for youth and adults by patient characteristics, comorbidity status, and pre-pandemic versus pandemic, MBSAQIP data, 2015–2020
| Variable | Youth | Adults | ||
|---|---|---|---|---|
| aOR (95% CI)a | aOR (95% CI)a | |||
| Gender | ||||
| Female (ref) | 1.0 | - | 1.0 | - |
| Male | 0.74 (0.49–1.11) | 0.142 | 0.92 (0.89–0.94) | < 0.001 |
| Race/ethnicity | ||||
| Non-Hispanic White (ref) | 1.0 | - | 1.0 | - |
| Hispanic | 0.90 (0.59–1.37) | 0.610 | 1.03 (1.0–1.07) | 0.073 |
| Non-Hispanic Black | 0.97 (0.63–1.51) | 0.891 | 1.45 (1.42–1.49) | < 0.001 |
| Other, multiracial | 0.65 (0.40–1.04) | 0.072 | 0.98 (0.95–1.01) | 0.135 |
| Procedure type | ||||
| LRYGB (ref) | 1.0 | - | 1.0 | - |
| LSG | 0.43 (0.30–0.61) | < 0.001 | 0.49 (0.48–0.50) | < 0.001 |
| Other | 0.58 (0.28–1.20) | 0.139 | 0.97 (0.94–0.99) | 0.020 |
| Hypertension | ||||
| No (ref) | 1.0 | - | 1.0 | - |
| Yes | 1.06 (0.74–1.52) | 0.753 | 1.11 (1.08–1.13) | < 0.001 |
| Hyperlipidemia | ||||
| No (ref) | 1.0 | - | 1.0 | - |
| Yes | -b | 0.979 | 1.10 (1.07–1.12) | < 0.001 |
| Type 2 diabetes | ||||
| No (ref) | 1.0 | - | 1.0 | - |
| Yes | 0.92 (0.58–1.46) | 0.710 | 1.06 (1.04–1.08) | < 0.001 |
| Gastroesophageal reflux disease | ||||
| No (ref) | 1.0 | - | 1.0 | - |
| Yes | 1.07 (0.67–1.69) | 0.783 | 1.36 (1.34–1.39) | < 0.001 |
| Sleep apnea | ||||
| No (ref) | 1.0 | - | 1.0 | - |
| Yes | 1.44 (0.98–2.11) | 0.065 | 1.06 (1.04–1.08) | < 0.001 |
| Chronic steroid use | ||||
| No (ref) | 1.0 | - | 1.0 | - |
| Yes | 3.19 (1.23–8.28) | 0.017 | 1.50 (1.41–1.59) | < 0.001 |
| Pre-pandemic versus pandemic | ||||
| Pre-pandemic | 1.0 | - | 1.0 | - |
| Pandemic | 0.69 (0.42–1.14) | 0.147 | 0.74 (0.72–0.77) | < 0.001 |
aMultivariable logistic regression controlling for gender, race/ethnicity, procedure type, pre-surgery comorbidities including hypertension, hyperlipidemia, type 2 diabetes, gastroesophageal reflux disease, and sleep apnea, chronic steroid use, and pre-pandemic status
bNot enough sample size to compute OR
Odds of completing MBS during the pandemic versus pre-pandemic for youth and adults by patient characteristics and comorbidity status, MBSAQIP data, 2015–2020
| Variable | Youth | Adults | ||
|---|---|---|---|---|
| aOR (95% CI)a | aOR (95% CI)a | |||
| Gender | ||||
| Female (ref) | 1.0 | - | 1.0 | - |
| Male | 0.90 (0.77–1.06) | 0.204 | 0.94 (0.93–0.96) | < 0.001 |
| Race/ethnicity | ||||
| Non- Hispanic White (ref) | 1.0 | - | 1.0 | - |
| Hispanic | 0.87 (0.72–1.06) | 0.158 | 1.06 (1.04–1.08) | < 0.001 |
| Non-Hispanic Black | 1.16 (0.96–1.41) | 0.139 | 1.20 (1.18–1.21) | < 0.001 |
| Other, multirace | 1.71 (1.45–2.01) | < 0.001 | 1.24 (1.22–1.25) | < 0.001 |
| Procedure type | ||||
| LRYGB (ref) | 1.0 | - | 1.0 | - |
| LSG | 1.47 (1.21–1.80) | < 0.001 | 0.89 (0.88–0.90) | < 0.001 |
| Other | 0.76 (0.50–1.15) | 0.191 | 0.46 (0.45–0.47) | < 0.001 |
| Hypertension | ||||
| No (ref) | 1.0 | - | 1.0 | - |
| Yes | 0.89 (0.68–1.16) | 0.389 | 0.91 (0.90–0.93) | < 0.001 |
| Hyperlipidemia | ||||
| No (ref) | 1.0 | - | 1.0 | - |
| Yes | 1.15 (0.73–1.82) | 0.538 | 1.02 (1.01–1.04) | 0.002 |
| Type 2 diabetes | ||||
| No (ref) | 1.0 | - | 1.0 | - |
| Yes | 0.92 (0.75–1.13) | 0.444 | 0.89 (0.87–0.90) | < 0.001 |
| Gastroesophageal reflux disease | ||||
| No (ref) | 1.0 | - | 1.0 | - |
| Yes | 0.86 (0.69–1.07) | 0.185 | 1.06 (1.04–1.07) | < 0.001 |
| Sleep apnea | ||||
| No (ref) | 1.0 | - | 1.0 | - |
| Yes | 1.26 (1.07–1.50) | 0.007 | 1.04 (1.03–1.06) | < 0.001 |
| Chronic steroid use | ||||
| No (ref) | 1.0 | - | 1.0 | - |
| Yes | 0.61 (0.27–1.35) | 0.223 | 1.20 (1.16–1.24) | < 0.001 |
Multivariable logistic regression controlling for gender, race/ethnicity, procedure type, pre-surgery comorbidities including hypertension, hyperlipidemia, type 2 diabetes, gastroesophageal reflux disease, and sleep apnea, and chronic steroid use