Skip to main content

ORIGINAL RESEARCH article

Front. Endocrinol., 09 February 2023
Sec. Obesity
This article is part of the Research Topic A year in review: Discussions in Obesity View all 5 articles

Excess visceral fat area as an independent risk factor for early postoperative complications in patients with obesity undergoing bariatric surgery

  • 1Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China
  • 2Laboratory of Anesthesia and Critical Care Medicine, National-Local Joint Engineering Research Center of Translational Medicine of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China
  • 3Department of Gastrointestinal Surgery, West China Hospital, Sichuan University, Chengdu, China

Background: Few studies have investigated the correlation between visceral fat area (VFA) and early postoperative complications in patients with obesity undergoing bariatric surgery. This study aimed to investigate the relationship between VFA and early postoperative complications in patients with obesity following bariatric surgery.

Methods: The study was conducted at a tertiary university hospital. Patients with obesity who underwent laparoscopic sleeve gastrectomy between June 2016 and October 2020 were divided into two groups based on umbilical level VFA: high-VFA group (umbilical level VFA ≥ 100 cm2) and low-VFA group (umbilical level VFA < 100 cm2). Baseline characteristics, intraoperative and postoperative conditions, and early postoperative complications were compared between the groups. The primary outcome was early postoperative complications, and the secondary outcome was postoperative hospital stay.

Results: The study included 152 patients, with 82 patients in the low-VFA group and 70 patients in the high-VFA group. The high-VFA group had a higher incidence of early postoperative complications (14.29% vs. 2.44%, P = 0.013) than the low-VFA group. The length of postoperative hospital stay did not differ significantly between the groups.

Conclusions: Our study suggests that excess VFA is an independent risk factor for early postoperative complications following bariatric surgery, and VFA may be used in preoperative evaluations.

1 Introduction

Obesity is a chronic disease that is traditionally defined as an excess of body fat that causes health prejudice. The prevalence of obesity has rapidly increased and is now considered as a global epidemic (1). Obesity increases the risk of developing a variety of metabolic disorders, such as type 2 diabetes, hyperlipidemia, obstructive sleep apnea (OSA), hypertension and other cardiovascular diseases, and cancer, resulting in a decrease in life expectancy and quality of life (25). The risk of complications associated with obesity is proportional to the degree of obesity and, more importantly, fat accumulation (6). Bariatric surgery is considered the most effective long-term treatment for severe obesity. For patients with obesity, bariatric surgery is associated with a longer life expectancy than conventional bariatric care (7). Bariatric surgery can not only achieve satisfactory weight loss but also reduce the risk of cardiovascular disease, type 2 diabetes, and cancer-related diseases (8). The development of minimally invasive surgery and laparoscopic techniques has made laparoscopic sleeve gastrectomy (LSG) the mainstream surgical method for metabolic surgery (9). LSG has fewer complications than some other bariatric procedures such as laparoscopic Roux-en-Y gastric bypass owing to the simple and feasible procedure, maximizing the preservation of changes to normal anatomy (10).

The body mass index (BMI) is currently the most widely used metric for assessing obesity. Although a correlation exists between BMI and human metabolic health, it is not sensitive to body fat distribution and does not accurately reflect the severity of obesity (11). The waist-to-hip ratio is a simple estimate of visceral obesity but cannot distinguish between subcutaneous and visceral adipose tissue (12). Magnetic resonance imaging and computed tomography (CT) quantitatively measure the patterns of body fat distribution and are reliable criteria for diagnosing visceral adipose tissue (VAT) (13). Visceral fatty obesity is primarily characterized by excessive fatty tissue that fills and lines the abdominal cavity, organs, blood vessels, and other tissues. Visceral obesity is characterized by an umbilical level visceral fat area (VFA) ≥ 100 cm2 (14).

VFA is associated with a poor prognosis in gastrointestinal surgery (15, 16). However, there are few studies on the impact of VFA on bariatric surgery and perioperative management in patients with obesity. This retrospective study was aimed to investigate the relationship between VFA and early postoperative complications in patients with obesity following bariatric surgery.

2 Materials and methods

2.1 Study design and patients

This single-center, retrospective study used data from the discharge medical records of patients undergoing gastrointestinal surgery in our institution’s Department of Gastrointestinal Surgery from June 2016 to October 2020. All research procedures involving human participants meet the ethical standards of the institutional research council. This study was approved by our institution’s ethics committee and registered at www.chictr.org.cn (ChiCTR2200062041).

2.2 Inclusion and exclusion criteria

The inclusion criteria were as follows: aged 16–65 years; BMI ≥ 28 kg/m2; undergoing selective LSG under general anesthesia. Patients were excluded if they did not have multi-row spiral abdominal CT fat volume scans; if they had other chronic diseases such as tumors, chronic kidney disease, or inflammatory bowel disease; if they were addicted to drugs or alcohol or had an uncontrollable mental illness; if they were taking glucocorticoids or sex hormones; or if they had American Society of Anesthesiologists (ASA) status V–VI.

2.3 Data collection

The collected data included the following: patient characteristics (age, sex, height, total body weight [= actual weight], BMI, ASA status, lean body weight [calculated based on height and weight], and visceral–subcutaneous ratio [VSR]); underlying diseases, including hypertension, hepatic steatosis, OSA syndrome, and diabetes; surgical data (surgery time, postoperative hospital stay, and postoperative adverse reactions); abdominal CT scan data; and anesthesia-specific data (anesthesia method, duration of anesthesia, anesthesia monitoring, anesthesia drugs [opioids, hypnotics, vasoactive drugs, and muscle relaxants and their antagonists], volume displacement [crystalline, colloidal], urine output, and anesthesia records).

2.4 Perioperative strategies

All enrolled patients received perioperative care in bariatric surgery according to the Enhanced Recovery After Surgery (ERAS) guidelines (17). Patients fasted for 8 h before the operation, and the intestinal tract was well prepared. General anesthesia was selected as the anesthesia method. All patients were treated using a high-definition laparoscopic surgery system.

2.5 Evaluation of visceral obesity

Patients undergoing multi-row spiral CT (Siemens products) were instructed to hold their breath during the scan. The scanning range was from the diaphragm to the pelvic floor, which was reconstructed using the B30f algorithm. We measured the umbilical fat and skeletal muscle areas on the available CT scan images. The edges of skeletal muscle and adipose tissue at this layer were manually delineated on a GE ADW 4.6 workstation using the syngo MultiModality Workplace software (Siemens Healthineers AG, Forchheim, Germany). The CT values for skeletal muscle and adipose tissue were set at -29 to 150 HU and -150 to -50 HU, respectively; the software calculated the area of each part within the set range (18). According to the Japan Society for the Study of Obesity and widely accepted clinical criteria, the threshold for visceral adiposity measured at the umbilical level on CT images is 100 cm2. Patients with umbilical level VFA ≥ 100 cm2 were considered to have high-VFA, whereas those with VFA < 100 cm2 were considered to have low-VFA (Figure 1).

FIGURE 1
www.frontiersin.org

Figure 1 Flowchart of the patient selection process. ASA, American Society of Anesthesiologists.

2.6 Definition of complications

Early postoperative complications were defined as complications that occurred within 30 days following surgery, including anastomotic leakage, intestinal obstruction, infectious complications (e.g. pneumonia and wound infection), and cardiovascular events (19). The severity was graded using the Clavien–Dindo classification (20). The primary outcome of bariatric surgery was early postoperative complications, and the secondary outcome was postoperative hospital stay. Physicians were unaware of which group the patients had been divided into when diagnosing complications.

2.7 Statistical analysis

Statistical calculations were performed using SPSS software version 26.0 (SPSS Inc., Chicago, IL). Continuous variables are expressed as mean ± standard deviation; categorical variables are expressed as numbers or percentages (%). Intergroup comparisons of numerical variables were performed using one-way analysis of variance and logistic regression analysis, chi-square tests, or Fisher precision tests for the comparison of classified data. Logistic regression analysis was used to analyze the relationship between postoperative complications and various variables. Potential confounding variables (p < 0.05) and known clinically significant variables such as age (p < 0.1) were included in the multivariate analysis. The forward stepwise regression approach was used in the multiple logistic regression model. p < 0.05 indicates statistical significance.

3 Results

3.1 Comparison of baseline characteristics

In total, 152 patients with obesity who underwent LSG at our institution were enrolled. The patients were 62.5% women, with a mean age of 33.59 ± 9.72 years (range 16–64 years) and a mean BMI of 36.97 ± 5.12 kg/m2 (range 28.01–57.14 kg/m2). The patients were divided into two groups based on a VFA of 100 cm2: high- (n = 70) and low- (n = 82) VFA groups. We compared the baseline characteristics of the groups; the results are presented in Table 1. The groups were comparable in terms of ASA scores, type 2 diabetes, and hepatic steatosis. The groups significantly differed in terms of sex (p = 0.001), mean age (p = 0.007), height (p = 0.028), weight (p < 0.001), BMI (p = 0.014), lean body mass (p < 0.001), total fat area (p < 0.001), abdominal wall fat area (p < 0.001), VSR (p < 0.001), skeletal muscle area (p < 0.001), hypertension (p = 0.021), hyperlipidemia (p = 0.011), and sleep apnea-hypopnea syndrome (p = 0.045). Compared to the low-VFA group, the high-VFA group had a higher incidence of postoperative complications (p = 0.013; Table 2).

TABLE 1
www.frontiersin.org

Table 1 Baseline characteristics of low-VFA vs. high-VFA groups.

TABLE 2
www.frontiersin.org

Table 2 Perioperative management and outcomes of low-VFA vs. high-VFA groups.

3.2 Risk factors for postoperative complications

A univariate analysis was conducted to identify risk factors for postoperative complications (Table 3). Gender, age, VFA, hypertension, OSA syndrome, skeletal muscle area, and infusion volume were included in the logistic multivariate regression analysis. Only VFA was statistically significant (p < 0.05), presenting as an independent risk factor for early postoperative complications.

TABLE 3
www.frontiersin.org

Table 3 Univariate and multivariate analysis of factors associated with postoperative complications.

4 Discussion

In this single-center, retrospective cohort study, we used abdominal CT as an entry point, which is more accurate than BMI, to reflect the body fat distribution, and investigated the impact of visceral fat on early postoperative complications in patients who had undergone bariatric surgery. VFA may be a risk factor for early postoperative complications in patients with obesity undergoing bariatric surgery. The findings of this study add to the literature on the impact of visceral fat on prognosis in bariatric surgery and suggest that anesthesiologists focus not only on BMI but also on the patient’s body composition in anesthesia management of patients with obesity to achieve precise anesthesia. Because of the wide variations in the distribution of human adipose tissue, BMI cannot accurately reflect the degree of obesity in the visceral cavity. Our binary logistic multivariate regression analysis revealed that the larger the VFA, the higher the incidence of postoperative complications.

Abdominal VFA has been associated with a high incidence of multiple metabolic risk factors (21, 22) and it can be used as an indicator of visceral fat load in the postoperative review of weight-loss patients (23). Computerized abdominal tomography for assessing VFA has been widely used to predict these metabolic risk-related factors (24, 25). Abdominal CT in bariatric surgery is typically used for detecting postoperative complications (26). Although there is no consensus regarding routine CT-scanning before bariatric surgery, it can be used to guide the surgeon to determine the type of bariatric surgery to be offered to the patient and to evaluate the volumetric assessment of stomach and gastric sleeves in patients before and after bariatric surgery (27, 28). The concern associated with the use of CT is its radiation dose; however, it has been shown that, using the proper protocol, the average individual effective dose in bariatric patients is 7.8 mSv, which is not considerably higher than that used in an upper gastrointestinal study (29).

In this study, the total incidence of postoperative complications in laparoscopic bariatric surgery was 7.89%, and the incidence of serious complications (Clavien–Dindo grade ≥ III) was 3.29%. Complication rates reported in the present study were within the median range of complication rates in a previous study. In the previous global benchmark study, over 30 days, surgical outcomes showed that 5.5% (0.3 - 16.8) of SG patients presented any complication and 2% (0 - 9.7) presented complication grade ≥ IIIa after bariatric surgery (30). The overall complication rate in this study almost approached that in the previous global benchmark study (6.2% for sleeve gastrectomy). Regarding the incidence of postoperative complications, Ibrahim et al. (31) found that the incidence of serious postoperative complications widely varied among accredited bariatric surgery centers in the United States.

Increased VFA was associated with the occurrence of postoperative complications, which is consistent with the results of previous research on various disease types in multiple patient populations. In a study on 139 patients undergoing gastric cancer surgery and 110 patients undergoing colorectal cancer surgery, increased VAT area was associated with increased postoperative complications (32, 33). Another study on 2,100 patients evaluating body composition in relation to length of stay and postoperative outcomes found that increased VAT area was associated with an increased risk of readmission after colorectal cancer surgery (34). Visceral fat has a negative impact on prognosis, possibly because visceral fat can lead to a high incidence of hypertension, diabetes, and metabolic syndrome, thereby increasing cardiometabolic risk (21, 35). Evidence suggests an association between visceral fat and adverse effects across different disease types and surgical sites, supporting the notion that increased VFA is a marker of poor overall health. Obesity is excessive body fat, particularly visceral fat, which leads to changes in hormone levels, inflammation, and endothelial function (36). Patients with obesity are at a high risk of perioperative complications. Most importantly, obesity can cause difficulty establishing an artificial airway during anesthesia induction (difficult intubation or mask ventilation), atelectasis, or obstructive respiratory distress after extubation and is sometimes associated with residual opioids. OSA syndrome is significantly associated with obesity and increases the risk of perioperative and postoperative complications (37). Adipose tissue, particularly VAT, is an important metabolic tissue in the human body and has the characteristics of secreting harmful adipokines, leading to insulin resistance, chronic low-grade inflammatory response, and procoagulant states (38). Leptin is an adipokine produced by adipose tissue; physiological serum leptin levels are positively correlated with fat content. Obesity increases the amount of adipose tissue and serum leptin levels, thereby decreasing leptin sensitivity. It has been suggested that OSA pathogenesis is linked to leptin resistance. Animal studies have revealed that leptin-deficient mice have impaired respiratory function, reduced responsiveness to carbon dioxide, and hypoventilation when awake. Mice supplemented with leptin had increased sensitivity to carbon dioxide and increased ventilation per minute (39). Research indicates that visceral fat accumulation should be considered an important risk factor for OSA (40).

Owing to the accumulation of adipose tissue, small operating space under the endoscope, and vague surgical perspective of patients with obesity, it is difficult for surgeons to identify sufficient surgical planes and normal vascular systems (41). The pathophysiological mechanism between VAT and postoperative complication rate also remains unclear. First, high visceral fat may predispose patients to metabolic syndrome and cardiovascular disease; however, multivariate analysis limited the influence of these confounders as much as possible. Second, during the occurrence and development of obesity, white adipose tissue expands through hypertrophy and hyperplasia of white adipose cells (42). Adipokines such as leptin and adiponectin secreted by adipose tissue regulate insulin resistance, appetite, and obesity. Visceral obesity is related to leptin resistance, decreases adiponectin levels, decreases insulin sensitivity, and decreases insulin receptor number and affinity, thereby leading to the abnormal secretion of blood glucose, blood lipids, and hormones (4345). VAT is sensitive to the stimulation of lipolysis, and fat cells release large amounts of free fatty acids, which aggravate insulin resistance (46). Perioperative metabolic disorders include insulin resistance, low-grade chronic inflammation, and abnormal insulin-like growth factor axis signaling, which can affect wound healing and patient prognosis and recovery.

Additionally, we observed a significant correlation between sex and postoperative complications in the univariate analysis; however, after age, sex, hypertension, and visceral fat factors were included in the multivariate analysis, sex, age and hypertension had no significance, and only VFA showed significance (p < 0.05). Therefore, VFA may be an independent risk factor for laparoscopic weight loss. The sex difference in fat distribution may be due to the regulatory effect of steroids.

Studies have shown that introducing a fast-track surgery program improves short-term outcomes (47). In this study, we did not fully adopt all ERAS programs, for example, in patients with obesity and diabetes, some ERAS measures were not implemented. Combined with unchanged medication, low-calorie intake may induce hypoglycaemia, while carbohydrate loading is associated with exaggerated hyperglycaemia. The construction of the ERAS program for patients with obesity, especially for those with underlying diseases, should differ from that of ordinary patients. The standardized implementation of ERAS should be prioritized for obese patients. Additionally, our center is gradually developing and implementing standardized protocols to improve the quality of care and reduce postoperative complications in accordance with the latest guidelines for perioperative care in bariatric surgery (48).

This study has some limitations. First, it was a single-center study conducted at our institution, with a BMI cut-off value of 28 kg/m2 recommended by the World Health Organization for obesity in Asian populations (49). Second, we only had partial follow-up data for a short time; therefore, long-term outcomes, such as survival, could not be determined. Long-term follow-up is required for future studies. Third, the study was a retrospective cohort study, which cannot control all confounding factors. It was difficult to obtain a large amount of clear and easy-to-measure preoperative imaging data. The sample size was also small, which may have caused selection bias. Fourth, because there are many provinces and cities in China, the population is large, and given the special characteristics of medicine in the country, retrospective research is difficult. Owing to its geographical location, our institution is an important academic center in Southwest China, and many patients travel from other cities for treatment. Patients from other provinces and cities are usually followed in local hospitals rather than our institution. This is the primary reason why some data were unavailable. Multicenter studies with larger sample sizes and longer follow-up periods are needed in the future. Given that our results showed an association rather than causation, further studies are needed to confirm the causal relationship between VFA and early postoperative complications.

5 Conclusion

VFA is an independent risk factor for early postoperative complications following bariatric surgery, and VFA may play a role in preoperative evaluation.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding authors.

Ethics statement

The studies involving human participants were reviewed and approved by Biomedical Ethics Review Committee, West China Hospital, Sichuan University. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.

Author contributions

Conception and design: LH, CD, and XW. Provision of study materials: LH, CD, and XZ. Collection and assembly of data: LH, QW and CD. Data analysis and interpretation: LH, CD, and RZ. Manuscript writing: LH and CD. Manuscript revision: XW and YC. All authors contributed to the article and approved the submitted version.

Acknowledgments

We would like to thank Editage (www.editage.cn) for English language editing.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Vekic J, Zeljkovic A, Stefanovic A, Jelic-Ivanovic Z, Spasojevic-Kalimanovska V. Obesity and dyslipidemia. Metabolism (2019) 92:71–81. doi: 10.1016/j.metabol.2018.11.005

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Nguyen NT, Magno CP, Lane KT, Hinojosa MW, Lane JS. Association of hypertension, diabetes, dyslipidemia, and metabolic syndrome with obesity: findings from the national health and nutrition examination survey 1999 to 2004. J Am Coll Surg (2008) 207(6):928–34. doi: 10.1016/j.jamcollsurg.2008.08.022

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Aune D, Sen A, Norat T, Janszky I, Romundstad P, Tonstad S, et al. Body mass index, abdominal fatness, and heart failure incidence and mortality: A systematic review and dose-response meta-analysis of prospective studies. Circulation (2016) 133(7):639–49. doi: 10.1161/circulationaha.115.016801

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Avgerinos KI, Spyrou N, Mantzoros CS, Dalamaga M. Obesity and cancer risk: Emerging biological mechanisms and perspectives. Metabolism (2019) 92:121–35. doi: 10.1016/j.metabol.2018.11.001

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Blüher M. Obesity: global epidemiology and pathogenesis. Nat Rev Endocrinol (2019) 15(5):288–98. doi: 10.1038/s41574-019-0176-8

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Engin A. The definition and prevalence of obesity and metabolic syndrome. Adv Exp Med Biol (2017) 960:1–17. doi: 10.1007/978-3-319-48382-5_1

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Carlsson LMS, Sjöholm K, Jacobson P, Andersson-Assarsson JC, Svensson PA, Taube M, et al. Life expectancy after bariatric surgery in the Swedish obese subjects study. N Engl J Med (2020) 383(16):1535–43. doi: 10.1056/NEJMoa2002449

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Ponce J, DeMaria EJ, Nguyen NT, Hutter M, Sudan R, Morton JM. American Society for metabolic and bariatric surgery estimation of bariatric surgery procedures in 2015 and surgeon workforce in the united states. Surg Obes Relat Dis (2016) 12(9):1637–9. doi: 10.1016/j.soard.2016.08.488

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Buchwald H, Oien DM. Metabolic/bariatric surgery worldwide 2011. Obes Surg (2013) 23(4):427–36. doi: 10.1007/s11695-012-0864-0

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Rosenthal RJ, Diaz AA, Arvidsson D, Baker RS, Basso N, Bellanger D, et al. International sleeve gastrectomy expert panel consensus statement: best practice guidelines based on experience of >12,000 cases. Surg Obes Relat Dis (2012) 8(1):8–19. doi: 10.1016/j.soard.2011.10.019

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Borga M, West J, Bell JD, Harvey NC, Romu T, Heymsfield SB, et al. Advanced body composition assessment: from body mass index to body composition profiling. J Investig Med (2018) 66(5):1–9. doi: 10.1136/jim-2018-000722

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Medina-Inojosa JR, Batsis JA, Supervia M, Somers VK, Thomas RJ, Jenkins S, et al. Relation of waist-hip ratio to long-term cardiovascular events in patients with coronary artery disease. Am J Cardiol (2018) 121(8):903–9. doi: 10.1016/j.amjcard.2017.12.038

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Shen W, Punyanitya M, Wang Z, Gallagher D, St-Onge MP, Albu J, et al. Visceral adipose tissue: relations between single-slice areas and total volume. Am J Clin Nutr (2004) 80(2):271–8. doi: 10.1093/ajcn/80.2.271

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Yuji M, Masahiko T, Shuji I, Yoshio I, Makoto O, Toshiie S, et al. New criteria for 'obesity disease' in Japan. Circ J (2002) 66(11):987–92. doi: 10.1253/circj.66.987

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Moon HG, Ju YT, Jeong CY, Jung EJ, Lee YJ, Hong SC, et al. Visceral obesity may affect oncologic outcome in patients with colorectal cancer. Ann Surg Oncol (2008) 15(7):1918–22. doi: 10.1245/s10434-008-9891-4

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Watanabe J, Tatsumi K, Ota M, Suwa Y, Suzuki S, Watanabe A, et al. The impact of visceral obesity on surgical outcomes of laparoscopic surgery for colon cancer. Int J Colorectal Dis (2014) 29(3):343–51. doi: 10.1007/s00384-013-1803-9

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Thorell A, MacCormick AD, Awad S, Reynolds N, Roulin D, Demartines N, et al. Guidelines for perioperative care in bariatric surgery: Enhanced recovery after surgery (ERAS) society recommendations. World J Surg (2016) 40(9):2065–83. doi: 10.1007/s00268-016-3492-3

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Zhang Y, Wang JP, Wang XL, Tian H, Gao TT, Tang LM, et al. Computed tomography-quantified body composition predicts short-term outcomes after gastrectomy in gastric cancer. Curr Oncol (2018) 25(5):e411–22. doi: 10.3747/co.25.4014

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Nguyen NT, Goldman C, Rosenquist CJ, Arango A, Cole CJ, Lee SJ, et al. Laparoscopic versus open gastric bypass: a randomized study of outcomes, quality of life, and costs. Ann Surg (2001) 234(3):279–289; discussion 289-291. doi: 10.1097/00000658-200109000-00002

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Dindo D, Demartines N, Clavien PA. Classification of surgical complications: a new proposal with evaluation in a cohort of 6336 patients and results of a survey. Ann Surg (2004) 240(2):205–13. doi: 10.1097/01.sla.0000133083.54934.ae

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Liu J, Fox CS, Hickson DA, May WD, Hairston KG, Carr JJ, et al. Impact of abdominal visceral and subcutaneous adipose tissue on cardiometabolic risk factors: the Jackson heart study. J Clin Endocrinol Metab (2010) 95(12):5419–26. doi: 10.1210/jc.2010-1378

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Karlsson T, Rask-Andersen M, Pan G, Höglund J, Wadelius C, Ek WE, et al. Contribution of genetics to visceral adiposity and its relation to cardiovascular and metabolic disease. Nat Med (2019) 25(9):1390–5. doi: 10.1038/s41591-019-0563-7

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Li X, Katashima M, Yasumasu T, Li KJ. Visceral fat area, waist circumference and metabolic risk factors in abdominally obese Chinese adults. BioMed Environ Sci (2012) 25(2):141–8. doi: 10.3967/0895-3988.2012.02.003

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Shuman WP, Morris LL, Leonetti DL, Wahl PW, Moceri VM, Moss AA, et al. Abnormal body fat distribution detected by computed tomography in diabetic men. Invest Radiol (1986) 21(6):483–7. doi: 10.1097/00004424-198606000-00007

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Hayashi T, Boyko EJ, McNeely MJ, Leonetti DL, Kahn SE, Fujimoto WY. Minimum waist and visceral fat values for identifying Japanese americans at risk for the metabolic syndrome. Diabetes Care (2007) 30(1):120–7. doi: 10.2337/dc06-0739

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Levine MS, Carucci LR. Imaging of bariatric surgery: normal anatomy and postoperative complications. Radiology (2014) 270(2):327–41. doi: 10.1148/radiol.13122520

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Hanssen A, Sabbag DJ, Hanssen RA, Hanssen DA. 3D CAT scan and gastric volumetry in the planning of revisional bariatric surgery. J Laparoendosc Adv Surg Tech A (2021) 32(1):49–53. doi: 10.1089/lap.2021.0547

CrossRef Full Text | Google Scholar

28. Benalcazar DA, Cascella M. Obesity surgery pre-op assessment and preparation. In: StatPearls. Treasure Island (FL: StatPearls Publishing (2022).

Google Scholar

29. Delko T, Mattiello D, Koestler T, Zingg U, Potthast S. Computed tomography as primary postoperative follow-up after laparoscopic roux-en-Y gastric bypass. World J Radiol (2018) 10(1):1–6. doi: 10.4329/wjr.v10.i1.1

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Gero D, Raptis DA, Vleeschouwers W, van Veldhuisen SL, Martin AS, Xiao Y, et al. Defining global benchmarks in bariatric surgery: A retrospective multicenter analysis of minimally invasive roux-en-Y gastric bypass and sleeve gastrectomy. Ann Surg (2019) 270(5):859–67. doi: 10.1097/sla.0000000000003512

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Ibrahim AM, Ghaferi AA, Thumma JR, Dimick JB. Variation in outcomes at bariatric surgery centers of excellence. JAMA Surg (2017) 152(7):629–36. doi: 10.1001/jamasurg.2017.0542

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Tsukada K, Miyazaki T, Kato H, Masuda N, Fukuchi M, Fukai Y, et al. Body fat accumulation and postoperative complications after abdominal surgery. Am Surg (2004) 70(4):347–51. doi: 10.1177/000313480407000416

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Ozoya OO, Siegel EM, Srikumar T, Bloomer AM, DeRenzis A, Shibata D. Quantitative assessment of visceral obesity and postoperative colon cancer outcomes. J Gastrointest Surg (2017) 21(3):534–42. doi: 10.1007/s11605-017-3362-9

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Martin L, Hopkins J, Malietzis G, Jenkins JT, Sawyer MB, Brisebois R, et al. Assessment of computed tomography (CT)-defined muscle and adipose tissue features in relation to short-term outcomes after elective surgery for colorectal cancer: A multicenter approach. Ann Surg Oncol (2018) 25(9):2669–80. doi: 10.1245/s10434-018-6652-x

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Preis SR, Massaro JM, Robins SJ, Hoffmann U, Vasan RS, Irlbeck T, et al. Abdominal subcutaneous and visceral adipose tissue and insulin resistance in the framingham heart study. Obes (Silver Spring) (2010) 18(11):2191–8. doi: 10.1038/oby.2010.59

CrossRef Full Text | Google Scholar

36. Piché ME, Poirier P, Lemieux I, Després JP. Overview of epidemiology and contribution of obesity and body fat distribution to cardiovascular disease: An update. Prog Cardiovasc Dis (2018) 61(2):103–13. doi: 10.1016/j.pcad.2018.06.004

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Seravalle G, Grassi G. Obesity and hypertension. Pharmacol Res (2017) 122:1–7. doi: 10.1016/j.phrs.2017.05.013

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Batsis JA, Villareal DT. Sarcopenic obesity in older adults: aetiology, epidemiology and treatment strategies. Nat Rev Endocrinol (2018) 14(9):513–37. doi: 10.1038/s41574-018-0062-9

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Tankersley CG, O'Donnell C, Daood MJ, Watchko JF, Mitzner W, Schwartz A, et al. Leptin attenuates respiratory complications associated with the obese phenotype. J Appl Physiol (1985) (1998) 85(6):2261–9. doi: 10.1152/jappl.1998.85.6.2261

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Sekizuka H, Ono Y, Saitoh T, Ono Y. Visceral fat area by abdominal bioelectrical impedance analysis as a risk of obstructive sleep apnea. Int Heart J (2021) 62(5):1091–5. doi: 10.1536/ihj.21-219

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Park JW, Lim SW, Choi HS, Jeong SY, Oh JH, Lim SB. The impact of obesity on outcomes of laparoscopic surgery for colorectal cancer in asians. Surg Endosc (2010) 24(7):1679–85. doi: 10.1007/s00464-009-0829-0

PubMed Abstract | CrossRef Full Text | Google Scholar

42. El Amrousy D, El-Afify D, Salah S. Insulin resistance, leptin and adiponectin in lean and hypothyroid children and adolescents with obesity. BMC Pediatr (2022) 22(1):245. doi: 10.1186/s12887-022-03318-x

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Kanai H, Matsuzawa Y, Kotani K, Keno Y, Kobatake T, Nagai Y, et al. Close correlation of intra-abdominal fat accumulation to hypertension in obese women. Hypertension (1990) 16(5):484–90. doi: 10.1161/01.hyp.16.5.484

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Rahmouni K, Correia ML, Haynes WG, Mark AL. Obesity-associated hypertension: new insights into mechanisms. Hypertension (2005) 45(1):9–14. doi: 10.1161/01.HYP.0000151325.83008.b4

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Seravalle G, Grassi G. Sympathetic nervous system, hypertension, obesity and metabolic syndrome. High Blood Press Cardiovasc Prev (2016) 23(3):175–9. doi: 10.1007/s40292-016-0137-4

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Martyn JA, Kaneki M, Yasuhara S. Obesity-induced insulin resistance and hyperglycemia: etiologic factors and molecular mechanisms. Anesthesiology (2008) 109(1):137–48. doi: 10.1097/ALN.0b013e3181799d45

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Dogan K, Kraaij L, Aarts EO, Koehestanie P, Hammink E, van Laarhoven CJ, et al. Fast-track bariatric surgery improves perioperative care and logistics compared to conventional care. Obes Surg (2015) 25(1):28–35. doi: 10.1007/s11695-014-1355-2

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Stenberg E, Dos Reis Falcão LF, O'Kane M, Liem R, Pournaras DJ, Salminen P, et al. Guidelines for perioperative care in bariatric surgery: Enhanced recovery after surgery (ERAS) society recommendations: A 2021 update. World J Surg (2022) 46(4):729–51. doi: 10.1007/s00268-021-06394-9

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Barba C, Cavalli-Sforza T, Cutter J, Darnton-Hill I, Deurenberg P, Deurenberg-Yap M, et al. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet (2004) 363:157–63. doi: 10.1016/s0140-6736(03)15268-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: obesity, bariatric surgery, laparoscopic sleeve gastrectomy, visceral fat area, postoperative complications

Citation: Han L, Deng C, Zhao R, Wan Q, Zhang X, Wang X and Chen Y (2023) Excess visceral fat area as an independent risk factor for early postoperative complications in patients with obesity undergoing bariatric surgery. Front. Endocrinol. 14:1072540. doi: 10.3389/fendo.2023.1072540

Received: 17 October 2022; Accepted: 27 January 2023;
Published: 09 February 2023.

Edited by:

Abbas Yadegar, Shahid Beheshti University of Medical Sciences, Iran

Reviewed by:

Felipe Chaim, State University of Campinas, Brazil
Erik Stenberg, Örebro University, Sweden

Copyright © 2023 Han, Deng, Zhao, Wan, Zhang, Wang and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Xiao Wang, 1490829116@qq.com; Yi Chen, toddychan@163.com

These authors have contributed equally to this work and share first authorship

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.