Abstract
Obesity is associated with increased all-cause mortality in the general population but the mortality rate of obese patients after elective surgery is lower in comparison to normal-weight patients. The reasons for this “obesity paradox” remain unexplained because of the different parameters used to define obesity and the heterogeneity of the obese population, which includes metabolically healthy, unhealthy and complicated patients. Moreover, the obesity paradox was not confirmed after emergency surgery and trauma, when a large number of factors are involved in the pathogenesis of complications and death. Infection, sepsis, septic shock, cardiac and respiratory comorbidities are the main causes of death related to obesity: they should be considered when predicting surgical risk before surgery.
Access provided by Autonomous University of Puebla. Download chapter PDF
Similar content being viewed by others
Keywords
1 Introduction
Obesity is a metabolic disease characterized by abnormal or excessive adipose tissue accumulation and body weight increase. It is recognized on the basis of a number of anthropometric characteristics and can be classified according to the body mass index (BMI = weight [kg]/height [m2]) into three different classes [1]:
-
class I: BMI 30–34.9
-
class II: BMI 35–39.9
-
class III: BMI ≥40
Obesity reduces life expectancy, especially when BMI > 35 [2, 3], since it is generally related to concomitant chronic metabolic complications (hypertension, insulin resistance, cholesterol and glucose increase), which are prognostic factors for cancer [4], cardiovascular diseases (CVD) and stroke [2, 5].
2 The Obesity Paradox
The obesity paradox has been observed in many cases in the literature; clinically healthy obese patients have an increased overall survival in cases of heart failure, even though their condition reduces life expectancy. Furthermore, under acute stress, such as surgical stress, obesity “protects” against mortality [6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27]. This evidence-based conclusion is supported by the literature, even though a few citations do not confirm these findings [18,19,20,21,22].
In 2003, Dindo et al. [7] studied postoperative complications in 6336 patients undergoing elective general surgery. Patients were classified according to BMI: non-obese (BMI < 30), mildly obese (BMI 30–35) and severely obese (BMI > 35). The incidence of complications was the same in all three groups (16.3% vs. 16% vs. 15.1%) and an additional multivariate regression analysis showed that obesity was not a risk factor. Mortality was not investigated. In a prospective, multi-centric clinical study, Mullen et al. [8] found that in 118,707 patients undergoing non-bariatric surgery, the mortality risk related to BMI showed a reverse J-shaped relationship; highest rates were found in underweight and morbidly obese patients. Overweight and moderately obese patients had the lowest risk of mortality. A prospective analysis of a single center clinical study investigating postoperative complications [9] studied 4293 patients, of whom 743 were obese. Obese patients more frequently reported diabetes (18.1% vs. 4.7%), hypertension (30.3% vs. 14.2%), cardiac (21.3% vs. 16.7%) or pulmonary (18.6% vs. 14.4%) diseases. They used medications more frequently than normal-weight patients, yet they were less frequently smokers (26.9% vs. 35.4%). Obesity resulted in a significantly longer intervention time, higher intraoperative blood loss and rate of surgical site infections (SSI) but not mortality, considered at 30 days. Furthermore, mildly obese or overweight patients had longer overall survival. The above observations were confirmed by several studies. Vargo et al. [10] studied 6,240,995 patients who underwent cardiovascular surgery, of whom about 10% were obese. These patients had lower in-hospital mortality (2% vs. 4.2%, p < 0.0001), postoperative stroke (1.3% vs. 2.3%) and incidence of pneumonia (3.6% vs. 5.1%), the most common complication, but a higher incidence of acute renal failure (8.7% vs. 8.2%) and need for blood transfusions (20.9% vs. 19.3%). The risk of wound infection was also higher (1.1% vs. 0.8%). In the vascular surgery setting [11, 12], obese patients had lower cardiac and respiratory morbidity as well as lower mortality in comparison to normal-weight patients. However, a higher rate of wound complications was observed. Obese patients who underwent esophageal [13], gastric [14] and colon surgery [15,16,17] had prolonged intraoperative intervention time and increased complication rate and SSI but had no difference in perioperative mortality and reoperation rate. Similar results were observed in patients who underwent surgery for Crohn’s disease [18]; BMI did not influence cardiac, pulmonary and renal complications or mortality but patients with a BMI > 40 had a higher prevalence of SSI.
In addition, obese patients affected by various organ cancers experienced less serious morbidity and lower risk-adjusted odds of mortality, despite a higher frequency of deep venous thrombosis, renal complications and ventilator dependency (considered as >48 h) [19]. Benjamin et al. [20] retrospectively reviewed the ACS-NSQJP database and extrapolated 101,078 patients who underwent emergency abdominal surgery between 2005 and 2010; approximately 30% were obese, 32% overweight, 3.5% underweight and the remaining normal weight. A history of diabetes and hypertension was more frequent in the obese group; a higher complication rate was evident in the underweight and morbidly obese patients. Crude mortality was increased in the underweight group alone.
Different results were obtained in obese patients admitted to the intensive care unit (ICU) for blunt trauma [21]. Obese patients had fewer head injuries but more chest and lower-extremity traumas. Nevertheless, they had more complications, longer time of mechanical ventilation and ICU stay. In the above study, obesity was an independent risk factor for mortality. In a prospective study on 1167 patients admitted to the ICU after trauma, Bochicchio et al. [22] examined the outcome of 62 obese (BMI > 30) patients (5.3% of the total). More than a two-fold increase in risk of infection was observed and seven-times higher likelihood of in-hospital death. Ditillo et al. [23] accessed the USA National Trauma Data Base and identified 32,780 morbidly obese patients who had blunt trauma injury. These patients had higher in-hospital complication rate, longer ICU- and in-hospital stay and higher mortality in morbidly obese patients compared with the non-obese population. Furthermore, Diaz et al. [24, 62] measured fasting glucose plasma levels in 1334 blunt trauma patients and found that mortality was related more to hyperglycemia than to morbid obesity (BMI > 40). Observations on adult patients in ICUs, including medical patients, produced contradictory results [25, 26]. Overall an inversely proportional relationship between overweight-mild obesity and mortality was observed, but these patients had an increased risk of infection, multiple organ failure with longer overall stay in the ICU. Most of the studies were heterogeneous and the interpretation of the results should be considered with caution since obesity was defined only on the basis of BMI, an imperfect measure.
3 The Obesity Paradox Revised
Several factors must be considered, since it is quite difficult to explain why after surgical stress, overweight and mildly obese patients seem to show a better prognosis in comparison to the normal-weight patients.
• BMI The definition of obesity using the BMI alone is misleading and incomplete [1]. It does not distinguish if the increase of the fat is peripheral or central, visceral or subcutaneous. We know that adipose tissue is not only an energetic reserve useful during periods of food deprivation, but it forms the diffuse endocrine system. Visceral and subcutaneous adipose tissue possesses different patterns of hormone secretion and regulates specific metabolic pathways. The increase of visceral fat has a higher pathogenic potential than the subcutaneous adipose tissue. Prognosis of obese patients with heart failure had a good linear relationship with overall survival and waist circumference (considered an index of central adiposity) but not BMI [27, 28]. The same observation was true for surgical patients [29].
• Inflammatory pattern of obesity Obesity is not only a metabolic but also an attenuated inflammatory disease [30]. Adipose tissue secretes TNFα and other cytokines, which mediate inflammatory cell activation causing endothelial cell dysfunction. The inflammatory pathways elicited by obesity are the same as induced by surgical stress and it may be possible that obese patients have an adaptive immune-protection exerted by an attenuated inflammation against an acute stress. Mullen et al. [8] considered that the nutritional reserve and more efficient metabolic state of obese patients would be able to elicit a more appropriate inflammatory (and immune) response to surgical stress.
• Patient selection The main results reported in observational studies in the literature [8, 10, 11, 13, 20] showed that obese patients (especially morbidly obese) were younger than the control population. We suspect that obese patients were selected for intervention only when they were young and at low risk of mortality.
• Heterogeneity of the obese population Obese patients are a heterogeneous population and up to 30% are metabolically healthy (MHO) with normal insulin sensitivity, low visceral fat storage and absence of significant angiopathy [31]. Intra- and postoperative risks are similar to those of normal-weight patients. MHO patients have normal mean arterial blood pressure, C-reactive protein, HDL cholesterol, triglycerides and plasma glucose. The risk of developing type 2 diabetes mellitus (T2DM) and CVD is 1.24 times higher than in the normal-weight population [32], since these patients easily progress to metabolically unhealthy obesity (MUO), in particular metabolic syndrome; gender (female), low HDL-cholesterol levels, greater insulin resistance and more visceral (and abdominal) fat are the prognostic predictors [33]. It is noteworthy that 30-day morbidity following colon resection in colorectal cancer patients can be predicted by visceral fat not BMI [29]. Furthermore, the presence of the metabolic syndrome, including central obesity, entails a higher risk of respiratory events (OR 2.6) and SSI (OR 3.47) following surgery [34]. In the above mentioned study, mortality was not analyzed, and conclusions cannot be made on the influence of central adiposity on the obesity paradox.
• Presence of comorbidities Table 1.1 illustrates potential risk factors for complications and death after surgery and trauma in obese patients.
Obesity leads to an increase in body mass by augmenting adipose tissue and ectopic fat accumulation in the liver, muscles and other organs. This modification causes morphological, metabolic and functional changes in a unique pattern for each obese patient.
The most frequent complications of postoperative and traumatic stress are repercussions on the cardiovascular and pulmonary system: cardiac failure, pulmonary insufficiency, deep venous thrombosis and pulmonary embolism. They are the most frequent causes of death after bariatric surgery [35].
Arterial hypertension, CVD and obesity hypoventilation syndrome should be considered in the assessment of the surgical risk [36,37,38]. Obstructive apnea syndrome contributes to worsening of cardiovascular and pulmonary function [39]. The use of the STOP-bang questionnaire is a useful prognostic tool to evaluate the risk of ventilation-related complications [40]. T2DM increases the risk of complications after surgery [41, 42]. Obesity and T2DM independently increase the risk of SSI [43,44,45], but perioperative correction of hyperglycemia is an effective preventive measure [46, 47]. Malnutrition (detected by hypoalbuminemia) and sarcopenia (detected on the basis of functional and morphological changes in muscle mass) also indicate a higher risk of complications after surgery [48,49,50].
4 Risk Prediction in Emergency Surgery of Obese Patients
Elective bariatric surgery is associated with a low risk of complications (2–5%) and mortality (0.18%) [51]. After elective general surgery, the rate of complications in obese patients ranges from 10.8 to 13.8% with a mortality rate of about 1.2%. Following trauma, they are 9.3% and 3%, respectively. Emergency abdominal surgery is characterized by a substantial increase of the complications (17.2–27.7%) and mortality (3.8–4.9%), depending on the obesity class. The excellent results of bariatric surgery depend on a careful selection of the patients, preventive measures for enhanced recovery after surgery and intensive treatment of complications. ASA physical status is the most used system for predicting the risk of surgical patients [52]. Obese patients are classified as class 2 or 3 with substantial underevaluation of the emergency surgery cases. In bariatric surgery, obese patient prognostic factors include male gender, age >45, BMI > 50, hypertension and risk factors for pulmonary embolism [53]. DeMaria elaborated the Obese Surgery Risk Mortality Score (OSRMS) [53] following bariatric surgery by evaluating the prognostic factors stated above scored 1 each. He considered 3 classes: A (score 0–1), 39–65% of the cases, B (2–3), 35–52% of the cases and C (4–5), 2–11% of the cases [52,53,54,55], which correlate with progressive mortality rates of 0.31%, 1.90% and 7.56% [52]. The most frequent causes of death were pulmonary failure, pulmonary embolism and cardiac events (60.6%). The OSRMS was validated for mortality in several studies but failed to predict the risk of complications [53,54,55,56] and was not validated for general elective or emergency surgery.
A further predictive factor was identified in a multi-centric prospective cohort study by the StarSurg group [57], which found a significant relationship between BMI and major complications in patients affected by gastrointestinal malignancies. All obese patients affected by these cancers are at a high risk of complications and mortality, especially when associated sarcopenia is present.
Finally, we have to consider the role of emergency surgery. In their revision of the ACS-NSQIP, Hyder et al. [58] examined 56,942 emergency and 136,311 elective interventions and found that the mortality rate was 3.97% in the first group and 0.4% in the latter. In a separate paper, Bohen et al. [59] confirmed that major morbidity and mortality were higher following emergency surgery (16.75% vs. 9.73% and 3.74% vs. 1%, p < 0.001). Bohen et al. [59] and Nandan et al. [60] identified 22 risk factors for adverse events after emergency surgery and elaborated the Emergency Surgery Acuity Score. The mortality rate was 22.8% for score 10, 59.1% for score 15 and 100% for score 22. The risk factors were demographic (age > 60 years), clinical or determined by laboratory tests. Most of them are frequently associated with obesity (hypertension, dyspnea, ventilator requirement, congestive heart failure, infection and sepsis), with longer stay in hospital, higher rate of complications, reoperation and death [61]. Under these conditions, optimal resuscitation and perioperative care strategies (see Chaps. 2–5) are essential to achieve the best results we can.
References
Engin A. The definition and prevalence of obesity and metabolic syndrome. In: Engin AB, Engin A, editors. Obesity and lipotoxicity. Berlin: Springer; 2017. p. 1–17.
The Global BMI Mortality Collaboration. Body-mass index and all-cause mortality: individual-participant-data meta-analysis of 239 prospective studies in four continents. Lancet. 2016;388:776–86.
Flegal KM, Kit BK, Orpana H, Graubard BI. Association of all-cause mortality with overweight and obesity using standard body mass index categories. JAMA. 2013;309:71–82.
Kyrgiou M, Kalliala I, Markozannes G, et al. Adiposity and cancer at major anatomical sites: umbrella review of the literature. BMJ. 2017;356:j477.
The Global Burden of Metabolic Risk factors for Chronic Diseases. Metabolic mediators of the effects of body-mass index, overweight, and obesity on coronary heart disease and stroke: a pooled analysis of 97 prospective cohorts with 1.8 million participants. Lancet. 2014;383:970–83.
Carbone S, Lavie CJ, Arena R. Obesity and heart failure: focus on the obesity paradox. Mayo Clin Proc. 2017;92:266–79.
Dindo D, Muller MK, Weber M, Clavien PA. Obesity in general elective surgery. Lancet. 2003;361:2032–5.
Mullen JT, Moorman DW, Davenport DL. The obesity paradox. Ann Surg. 2009;250:166–72.
Tjeertes EKM, Hoeks SE, Becks SBJC, et al. Obesity—a risk factor for postoperative complications in general surgery? BMC Anesthesiol. 2015;15:112. https://doi.org/10.1186/s12871-015-0096-7.
Vargo PR, Steffen RJ, Bakaeen FG, et al. The impact of obesity on cardiac surgery outcomes. J Card Surg. 2018;33:588–94.
Davenport DL, Xenos ES, Hosokawa P, et al. The influence of body mass index obesity status on vascular surgery 30-d morbidity and mortality. J Vasc Surg. 2009;49:140–7.
Galyfos G, Geropapas GI, Kerasidis S, et al. The effect of body mass index on major outcomes after vascular surgery. J Vasc Surg. 2017;65:1193–207.
Wightman SC, Posner MC, Patti MG, et al. Extremes of body mass index and postoperative complications after esophagectomy. Dis Esophagus. 2017;30:1–6.
Zhao B, Zhang J, Rui Luo D, et al. Does high body mass index negatively affect the surgical outcome and long-term survival of gastric cancer patients who underwent gastrectomy: a systematic review and meta-analysis. Eur J Surg Oncol. 2018;44:1971–81.
Wahl TS, Patel FC, Goss LE, et al. The obese colorectal surgery patient: surgical site infection and outcomes. Dis Colon Rectum. 2018;61:938–45.
Makino T, Shujla PJ, Rubino F, Milsom JW. The impact of obesity on perioperative outcomes after laparoscopic colorectal resection. Ann Surg. 2012;255:228–36.
Pasam RT, Esemude LO, Lee-Kong SA, Kiran RP. The minimally invasive approach is associated with reduced surgical site infections in obese patients undergoing proctectomy. Tech Coloproctol. 2015;19:733–43.
Causey MW, Johnson EK, Miller S, et al. The impact of obesity on outcomes following major surgery for Crohn’s disease: an American College of Surgeons National Surgical Quality Improvement Program Assessment. Dis Colon Rectum. 2011;54:1488–95.
Zogg CK, Mungo B, Lidor AO, et al. Influence of body mass index on outcomes after major resection for cancer. Surgery. 2015;158:472–85.
Benjamin ER, Dilektasli E, Haltmeier T, Beale E, Inaba K, Demetriades D. The effect of body mass index on complications and mortality after emergency abdominal operations: the obesity paradox. Am J Surg. 2017;214:899–903.
Brown CVR, Neville AL, Rhee P, et al. The impact of obesity on the outcomes of 1,153 critically injured blunt trauma patients. J Trauma. 2005;59:1048–51.
Bochicchio GV, Joshi M, Bochicchio K, et al. Impact of obesity in the critically ill trauma patient: a prospective study. J Am Coll Surg. 2006;203:533–8.
Ditillo M, Pandit V, Rhee P, et al. Morbid obesity predisposes trauma patients to worse outcomes: a national trauma data bank analysis. J Trauma Acute Care Surg. 2014;76:176–9.
Diaz JJ, Norris PM, Collier BR, et al. Morbid obesity is not a risk factor for mortality in critically ill trauma patients. J Trauma. 2009;66:226–31.
Oliveros H, Villamor E. Obesity and mortality in critically ill adults: a systematic review and meta-analysis. Obesity. 2008;16:615–21.
Westerly BD, Dabbagh O. Morbidity and mortality characteristics of morbidly obese patients admitted to hospital and intensive care units. J Crit Care. 2011;26:180–5.
Porier P, Giles TD, Bray GA, et al. Obesity and cardiovascular disease: pathophysiology, evaluation, and effect of weight loss. Circulation. 2006;113:898–918.
Antonopoulos AS, Tousoulis D. The molecular mechanisms of obesity paradox. Cardiovasc Res. 2017;113:1074–86.
Kuritzkes B, Pappou EP, Kiran RP, et al. Visceral fat area, not body mass index, predicts postoperative 30-day morbidity in patients undergoing colon resection for cancer. Int J Color Dis. 2018;33:1019–28.
Hotamisligil GS. Inflammation and metabolic disorders. Nature. 2006;444:860–6.
Bluher S, Schwarz P. Metabolically healthy obesity from childhood to adulthood – does weight status alone matter? Metabolism. 2014;63:1084–92.
Plourde G, Karelis AD. Current issues in the identification and treatment of metabolically healthy but obese individuals. Nutr Metab Cardiovasc Dis. 2013;24:455–9.
Hwang YC, Hayashi T, Fujimoto WY, et al. Visceral abdominal fat accumulation predicts the conversion of metabolically healthy obese subjects to an unhealthy phenotype. Int J Obes (Lond). 2015;39:1365–70.
Laou E, Milionis H, Petrou A, et al. The impact of metabolic syndrome and its components on perioperative outcomes after elective laparotomy—a prospective observational study. Am J Surg. 2017;214:831–7.
Morino M, Toppino M, Forestieri P, et al. Mortality after bariatric surgery: analysis of 13,871 morbidly obese patients from a national registry. Ann Surg. 2007;246:1002–7.
Domi R, Laho H. Anesthetic challenges in the obese patient. J Anesth. 2012;26:758–65.
Adams JP, Murphy PG. Obesity in anesthesia and intensive care. Br J Anaesth. 2000;85:91–108.
Lazarus R, Sparrow D, Weiss ST. Effects of obesity and fat distribution on ventilator function. Chest. 1997;111:891–8.
Deflandre E, Gerdom A, Lamarque C, Bertrand B. Understanding pathophysiological concepts leading to obstructive apnea. Obes Surg. 2018;28:2560–71.
Chudeau N, Raveau T, Carlier L, et al. The STOP-BANG questionnaire and the risk of perioperative respiratory complications in urgent surgery patients: a prospective, observational study. Anaesth Crit Care Pain Med. 2016;35:347–53.
Underwood P, Askari R, Hurwitz S, et al. Preoperative A1C and clinical outcomes in patients with diabetes undergoing major noncardiac surgical procedures. Diabetes Care. 2014;37:611–6.
Noordzij PG, Boersma E, Schreiner F, et al. Increased preoperative glucose levels are associated with perioperative mortality in patients undergoing noncardiac, nonvascular surgery. Eur J Endocrinol. 2007;156:137–42.
Ata A, Lee J, Bestle SL, et al. Postoperative hyperglycemia and surgical site infection in general surgery patients. Arch Surg. 2010;145:858–64.
Thelwall S, Harrington P, Sheridan E, Lamagni T. Impact of obesity on the risk of wound infection following surgery: results from a nationwide prospective multicentre cohort study in England. Clin Microbiol Infect. 2015;21:1008.e1–8.
Waisbren E, Rosen H, Bader AM, et al. Percent body fat and prediction of surgical site infection. J Am Coll Surg. 2010;210:381–9.
Bell TM, Bayl DR, Sledlecki CB, et al. Infectious complications in obese patients after trauma. J Surg Res. 2016;204:393–7.
Qaseem A, Humphrey LL, Chou R, et al. Use of intensive insulin therapy for the management of glycemic control in hospitalized patients: a clinical practice guideline from the American College of Physicians. Ann Intern Med. 2011;154:260–7.
Fieber JH, Sharoky CE, Wirtalla C, et al. The malnourished patient with obesity: a unique paradox in bariatric surgery. J Surg Res. 2018;232:456–63.
Van Aller C, Lara J, Stephan BCM, et al. Sarcopenic obesity and overall mortality: results from the application of novel models of body composition phenotypes to the National Health and Nutrition Examination Survey 1999-2004. Clin Nutr. 2019;38:264–70.
Gaillard M, Tranchart H, Maitre S, et al. Preoperative detection of sarcopenic obesity helps to predict the occurrence of gastric leak after sleeve gastrectomy. Obes Surg. 2018;28:2379–85.
Cardoso L, Rodrigues D, Gomes L, Carrilho F. Short- and long-term mortality after bariatric surgery: a systematic review and meta-analysis. Diabetes Obes Metab. 2017;19:1223–32.
Doyle DJ, German EH. American Society of Anesthesiologists classification (ASA Class). Treasure island: StatPearls Publishing; 2018. https://www.ncbi.nlm.nih.gov/books/NBK441940. Accessed 14 Jan 2019.
DeMaria EJ, Portenier D, Wolfe L. Obesity surgery mortality risk score: proposal for a clinically useful score to predict mortality risk in patients undergoing gastric bypass. Surg Obes Relat Dis. 2007;3:134–40.
DeMaria EJ, Murr M, Byrne K, et al. Validation of the Obesity Surgery Mortality Risk Score in a multicentre study proves it stratifies mortality risk in patients undergoing gastric bypass for morbid obesity. Ann Surg. 2007;246:578–84.
Arterburn DA, Johnson ES, Butler MG, et al. Predicting 90-day mortality after bariatric surgery: an independent, external validation of the OS-MRS prognostic risk score. Surg Obes Relat Dis. 2014;10:774–9.
Garcia-Garcia ML, Lorenzo JGM, Ruiz RL, et al. Failure of the Obesity Surgery Mortality Risk Score (OS-MRS) to predict postoperative complications after bariatric surgery. A single-center series and systematic review. Obes Surg. 2017;27:1423–9.
STARSurg Collaborative. Multicentre prospective cohort study of body mass index and postoperative complications following gastrointestinal surgery. Br J Surg. 2016;103:1157–72.
Hyder JA, Reznor G, Wakeam E, et al. Risk prediction accuracy differs from emergency versus elective cases in the ACS-NSQIP. Ann Surg. 2016;264:959–65.
Bohen JD, Ramly EP, Sangji NF, et al. Perioperative risk factors impact outcomes. J Trauma Acute Care Surg. 2016;81:122–30.
Nandan AR, Bohnen JD, Sangji N, et al. The Emergency Surgery Score (EES) accurately predicts the occurrence of postoperative complications in emergency surgery patients. J Trauma Acute Care Surg. 2017;83:84–9.
Kupper S, Karvellas JS, Khadaroo RG, Widder SL. Increase health service use by severely obese patients undergoing emergency surgery: a retrospective cohort study. Can J Surg. 2015;58:41–7.
Hogue CW, Stearns JD, Colantuoni E, et al. The impact of obesity on outcomes after clinical illness: a meta-analysis. Intensive Care Med. 2009;35:1152–70.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Foschi, D., Lucchese, M., Sarro, G., Rizzi, A. (2020). Frailty of the Obese Patient and the Obesity Paradox After Surgical Stress. In: Foschi, D., Navarra, G. (eds) Emergency Surgery in Obese Patients. Updates in Surgery. Springer, Cham. https://doi.org/10.1007/978-3-030-17305-0_1
Download citation
DOI: https://doi.org/10.1007/978-3-030-17305-0_1
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-17304-3
Online ISBN: 978-3-030-17305-0
eBook Packages: MedicineMedicine (R0)