Literature DB >> 36166178

Association Between Bariatric Surgery and Severe COVID-19 Outcomes in Florida.

Guanming Chen1, Arch Mainous2,3, Alexander Ayzengart4, Young-Rock Hong2.   

Abstract

Less is known whether bariatric surgery (BS) is associated with improved outcomes of COVID-19 complications among patients with class III obesity. Using data from the Florida's state inpatient database (SID) in 2020, we performed multivariable logistic regressions to investigate the impact of prior BS on three separate events, including admission due to COVID-19 among patients eligible for BS (non-BS) and those with prior BS, ventilator usage, and all-cause mortality among those admitted due to COVID-19. Of 409,665 patients included in this study, 25,116 (6.1%) had a history of BS. Results from adjusted logistic regression showed that prior BS was associated with decreased risk of admission due to COVID-19 than that in non-BS group. The risk reduction was smaller among those with class III obesity (adjusted odds ratio [aOR]: 0.58; 95% CI: 0.51-0.66; p < 0.001) than those without (aOR: 0.32; 95% CI: 0.28-0.38; p < 0.001). Compared with the non-BS group, aOR of ventilator use and all-cause mortality for patients without class III obesity decreased by 58% and 78% (p < 0.05), respectively. However, these significances disappeared among patients with continued class III obesity after BS. Our findings suggest that patients with continued class III obesity after BS were still at higher risk of severe COVID-19 outcomes than those without.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Bariatric surgery; COVID-19; Obesity

Year:  2022        PMID: 36166178      PMCID: PMC9514198          DOI: 10.1007/s11695-022-06281-9

Source DB:  PubMed          Journal:  Obes Surg        ISSN: 0960-8923            Impact factor:   3.479


Introduction

Obesity is a recognized risk factor for severe SARS-COV-2 (COVID-19) outcomes [1]. Recent studies found that substantial weight loss achieved by bariatric surgery (BS) was associated with improved outcomes of COVID-19 [2, 3]. Some risk scores indicate that severe outcomes of COVID-19 (e.g., inpatient mortality) are more related to physiological parameters than weight [4, 5]. Yet there is little evidence supporting the association between BS and risk of COVID-19 severe outcomes among patients who are still obese or have not yet experienced significant weight loss. In this study, we aimed to investigate the association of BS on COVID-19 hospitalization, invasive ventilator use, and mortality stratified by obesity status using a statewide inpatient dataset.

Methods

In this retrospective cross-sectional study, we used data from the newly published 2020 Florida State Inpatient Database (SID) belonging to the Healthcare Cost and Utilization Project (HCUP) databases family. Approval for use of the SID de-identified patient-level data was obtained from the Institutional Review Board (IRB) of the University of Florida and the HCUP. We used the International Classification of Diseases, Tenth Revision procedure code (ICD-10-PCS: Z98.84) to identify patients with prior BS as a surgical group. Patients with class III obesity (BMI ≥ 40 kg/m2; ICD-10: Z68.4) but without prior BS record were included as the BS-eligible group. We used the I10_DX_Admitting variable to identify patients’ admission due to COVID-19 (U07.1, J12.81, B97.29, B34.2). Additionally, we identified comorbidities reported to be associated with severe COVID-19 outcomes. Exclusion criteria were those who were non-Florida residents, younger than 18 years, without sex identification, or patients with any BS-related procedure record, including revision in 2020. We further divided the BS surgical group by their obesity status (BMI ≥ 40 kg/m2 or not). Patients were characterized based on demographics, baseline comorbidities, medical payment source, and severe outcomes (ventilator usage or all-cause mortality). We compared baseline characteristics using Chi-square test for categorical variables. We then performed multivariable logistic regressions to investigate the impact of prior BS on three separate events, including admission due to COVID-19 among all samples, ventilator usage, and all-cause mortality among those admitted due to COVID-19, while controlling for other covariates. All data analyses were performed using SAS 9.4 (Cary, NC). Statistical significance was defined as p < 0.05.

Results

In 2020, there were 25,116 patients with prior BS (surgical group) and 384,549 individuals eligible for BS. The rate of admission due to COVID-19 was the highest among patients eligible for BS (3.7%), followed by patients who had history of BS with (2.2%) or without (1.2%) class III obesity. In demographic composition, patients in the surgical groups had more females and lower prevalence of comorbidities (Table 1).
Table 1

Demographics and comorbidity profile among patients stratified by class III obesity status and prior bariatric surgery status

Prior BS and BMI < 40Prior BS and BMI ≥ 40No BS and BMI ≥ 40
Total13,712 (3.3)11,404 (2.8)384,549 (93.9)
Age
  18–442374 (17.3)2124 (18.6)79,671 (20.7)
  45–646176 (45.0)5672 (49.7)142,427 (37)
   > 645162 (37.7)3608 (31.6)162,451 (42.2)
Sex
  Male3083 (22.5)3211 (28.2)170,564 (44.4)
  Female10,629 (77.5)8193 (71.8)213,985 (55.7)
Race/ethnicity
  White9584 (69.9)7323 (64.2)231,894 (60.3)
  Black1602 (11.7)1976 (17.3)76,335 (19.9)
  Hispanic2165 (15.8)1830 (16.1)64,562 (16.8)
  Other361 (2.6)275 (2.4)11,758 (3.1)
RUCC category
  Metro13,028 (95.0)10,920 (95.8)368,696 (95.9)
  Non-metro684 (5.0)484 (4.2)15,853 (4.1)
Insurance
  Medicare7503 (54.7)5796 (50.8)196,827 (51.2)
  Medicaid1216 (8.9)1014 (8.9)51,419 (13.4)
  Private3735 (27.2)3798 (33.3)94,619 (24.6)
  Other1258 (9.2)796 (7.0)41,684 (10.8)
Median household income
  0–25th percentile4683 (34.2)3996 (35.0)155,090 (40.3)
  26th to 50th5091 (37.1)4244 (37.2)138,398 (36.0)
  51st to 75th2869 (20.9)2392 (21.0)69,423 (18.1)
  76th to 100th1052 (7.7)759 (6.7)21,225 (5.5)
  Missing17 (0.1)13 (0.1)413 (0.1)
Length of stay
  0–5 days10,339 (75.4)8243 (72.3)255,931 (66.6)
  6–10 days2272 (16.6)2066 (18.1)76,508 (19.9)
  11–30 days1005 (7.3)1004 (8.8)46,380 (12.1)
   > 30 days96 (0.7)91 (0.8)5714 (1.5)
Missing16 (0)
COVID-19 as admission diagnosis165 (1.2)252 (2.2)14,222 (3.7)
COVID-19 in any diagnosis403 (2.9)566 (5.0)31,474 (8.2)
Comorbidity
  Type 2 diabetes3006 (21.9)3418 (30.0)145,993 (38.0)
  Hypertension8313 (60.6)8173 (71.7)289,190 (75.2)
  Dyslipidemia4195 (30.6)4434 (38.9)179,999 (46.8)
  Chronic respiratory disease2972 (21.7)3009 (26.4)114,503 (29.8)
  Cardiovascular disease5345 (39.0)5039 (44.2)208,756 (54.3)
  Immune disease161 (1.2)139 (1.2)5209 (1.4)
  Cancer1375 (10.0)956 (8.4)37,833 (9.8)
  Chronic kidney disease883 (6.4)911 (8.0)45,811 (11.9)
Ventilator use349 (2.6)353 (3.1)21,834 (5.7)
All-cause mortality during stay177 (1.3)130 (1.1)9549 (2.5)

*Abbreviations: BMI, body mass index; BS, bariatric surgery; RUCC, rural–urban continuum codes. * “Other” in race/ethnicity include Asian or Pacific Islander, Native American, and other or missing value in RACE variable. *Class III obesity or BMI ≥ 40 kg/m2 was identified by ICD-10 Z68.4

Demographics and comorbidity profile among patients stratified by class III obesity status and prior bariatric surgery status *Abbreviations: BMI, body mass index; BS, bariatric surgery; RUCC, rural–urban continuum codes. * “Other” in race/ethnicity include Asian or Pacific Islander, Native American, and other or missing value in RACE variable. *Class III obesity or BMI ≥ 40 kg/m2 was identified by ICD-10 Z68.4 After adjusting demographic and comorbidity characteristics, prior BS was associated with decreased risk of admission due to COVID-19 than in non-BS group (Table 2). The risk reduction was smaller among those with class III obesity (adjusted odds ratio [aOR]: 0.58; 95% CI: 0.51–0.66; p < 0.001) than those without (aOR: 0.32; 95% CI: 0.28–0.38; p < 0.001). Compared with non-BS group, aOR of ventilator use and all-cause mortality for patients without class III obesity decreased by 58% and 78% (p < 0.05), respectively.
Table 2

Multivariable logistic regression analysis of class III obesity status associated with COVID-19-related outcomes

OutcomesNo BS and BMI ≥ 40Prior BS and BMI < 40P valuePrior BS and BMI ≥ 40P value
All patients
  COVID-19 admission1.000.32 (0.28–0.38) < 0.0010.58 (0.51–0.66) < 0.001
Among those admitted due to COVID-19
  Ventilator use1.000.42 (0.21–0.84)0.0140.75 (0.48–1.17)0.201
  All-cause mortality1.000.22 (0.08–0.60)0.0030.77 (0.46–1.29)0.315

*Class III obesity or BMI ≥ 40 kg/m2 was identified by ICD-10 Z68.4

Multivariable logistic regression analysis of class III obesity status associated with COVID-19-related outcomes *Class III obesity or BMI ≥ 40 kg/m2 was identified by ICD-10 Z68.4

Discussion

In this study, we used the 2020 Florida inpatient data and found that prior BS was associated with significantly decreased likelihood of inpatient admission due to COVID-19 regardless of obesity status. Compared to BS-eligible patients, there were significant adjusted risk reductions in both ventilator usage and all-cause inpatient mortality among patients without class III obesity after BS; however, these significances disappeared among patients with continued class III obesity after BS. A unique finding of our study is that even among patients with continued class III obesity, BS showed protective effect against inpatient admission due to COVID-19. Previous studies suggested that the amelioration effect on comorbidities by BS may increase overall immunity against COVID-19 infection [6]. However, we found no significant difference in the likelihood of severe COVID-19 outcomes between those with continued class III obesity stratified by prior BS status. A possible explanation is that obesity may serve as an independent risk factor for reduced cardiorespiratory function [7], leading to severe COVID-19 outcomes. Thus, it is essential to provide necessary interventional programs on weight loss after BS in clinical practice. Study limitations include lack of adjuvant pharmacotherapy and no patients’ follow-up data, which may bias the results or of other causes of mortality.

Conclusion

Receiving BS was associated with decreased risk of COVID-19 infection; however, it did not seem to be a sole protective factor for severe COVID-19 outcomes among patients with continued class III obesity. Targeted weight loss management and education should be directed to avoid potential progressive COVID-19 outcomes for post-bariatric patients with continued class III obesity.
  7 in total

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Authors:  Naveed Sattar; Iain B McInnes; John J V McMurray
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Authors:  Ali Aminian; Chao Tu; Alex Milinovich; Kathy E Wolski; Michael W Kattan; Steven E Nissen
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4.  The impact of obesity and bariatric surgery on the immune microenvironment of the endometrium.

Authors:  Anie Naqvi; Michelle L MacKintosh; Abigail E Derbyshire; Anna-Maria Tsakiroglou; Thomas D J Walker; Rhona J McVey; James Bolton; Martin Fergie; Steven Bagley; Garry Ashton; Philip W Pemberton; Akheel A Syed; Basil J Ammori; Richard Byers; Emma J Crosbie
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Authors:  Yang Li; Yanlei Kong; Mark H Ebell; Leonardo Martinez; Xinyan Cai; Robert P Lennon; Derjung M Tarn; Arch G Mainous; Aleksandra E Zgierska; Bruce Barrett; Wen-Jan Tuan; Kevin Maloy; Munish Goyal; Alex H Krist; Tamas S Gal; Meng-Hsuan Sung; Changwei Li; Yier Jin; Ye Shen
Journal:  Front Med (Lausanne)       Date:  2022-04-07

6.  Obesity and Mortality Among Patients Diagnosed With COVID-19: Results From an Integrated Health Care Organization.

Authors:  Sara Y Tartof; Lei Qian; Vennis Hong; Rong Wei; Ron F Nadjafi; Heidi Fischer; Zhuoxin Li; Sally F Shaw; Susan L Caparosa; Claudia L Nau; Tanmai Saxena; Gunter K Rieg; Bradley K Ackerson; Adam L Sharp; Jacek Skarbinski; Tej K Naik; Sameer B Murali
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