Abstract
Purpose of Review
Obesity represents a global epidemic with serious implications in public health due to its increasing prevalence and its known association with a high morbidity and mortality burden. However, a growing number of data support a survival benefit of obesity in critical illness. This review summarizes current evidence regarding the obesity paradox in critical illness, discusses methodological issues and metabolic implications, and presents potential pathophysiologic mechanisms.
Recent Findings
Data from meta-analyses and recent studies corroborate the obesity-related survival benefit in critically ill patients as well as in selected populations such as patients with sepsis and acute respiratory distress syndrome, but not trauma. However, this finding warrants a cautious interpretation due to certain methodological limitations of these studies, such as the retrospective design, possible selection bias, the use of BMI as an obesity index, and inadequate adjustment for confounding variables. Main pathophysiologic mechanisms related to obesity that could explain this phenomenon include higher energy reserves, inflammatory preconditioning, anti-inflammatory immune profile, endotoxin neutralization, adrenal steroid synthesis, renin-angiotensin system activation, cardioprotective metabolic effects, and prevention of muscle wasting.
Summary
The survival benefit of obesity in critical illness is supported from large meta-analyses and recent studies. Due to important methodological limitations, more prospective studies are needed to further elucidate this finding, while future research should focus on the pathophysiologic role of adipose tissue in critical illness.
Similar content being viewed by others
Avoid common mistakes on your manuscript.
Introduction
Obesity, which represents the increase of body weight due to expansion of adipose tissue, has become a global epidemic with important implications in public health. Epidemiologic studies have shown that obesity exhibits an overtly increasing prevalence in both economically developed and developing countries during the last four decades [1,2,3,4]. According to the World Health Organization (WHO), obesity has tripled since 1975, with 1.9 billion adults being overweight and 650 million of them being obese in 2016. This comprises a worldwide prevalence rate of 39% for overweight and 13% for obesity in adults [5]. Furthermore, if these increasing trends continue, it has been estimated that overweight and obesity prevalence will exceed 57% by 2030 [6].
WHO defines overweight and obesity as abnormal or excessive fat accumulation that may impair health. Epidemiological studies have widely adopted the WHO classification of obesity for adults of both sexes and all ages, based on BMI, an index calculated as the ratio of body weight to squared height (kg/m2). According to this classification, overweight is defined as a BMI greater than or equal to 25 kg/m2 and obesity as a BMI greater than or equal to 30 kg/m2 [5]. Further classification of the severity of adulthood obesity comprises 3 classes: class I (moderate) with BMI 30–34.9 kg/m2, class II (severe) with BMI 35–39.9 kg/m2, and class III (very severe) with BMI greater or equal to 40 kg/m2. Normal weight is considered a BMI of 18.5–24.9 kg/m2, while a BMI below 18.5 kg/m2 defines underweight. Although BMI is not the most reliable measure of body fat, needing appropriate adjustments for race and body fat distribution, it is a simple and useful epidemiological tool based on large population studies [4]. Thus, it is currently the most widely accepted measure of overweight and obesity in adults.
Obesity is an established risk factor for metabolic and cardiovascular diseases; certain malignancies; and respiratory, musculoskeletal, and mental disorders [5, 7]. Overweight and obesity are associated with a high mortality burden, contributing to 4 million deaths globally in 2015, which comprise approximately 7.1% of total deaths [3, 8]. Additionally, the economic burden of health care costs along with indirect costs attributed to obesity is substantially high [9].
At the same time, as obesity rises in the general population, overweight and patients with obesity comprise a significant proportion of the critically ill population, estimated to be around 34% for overweight and 15–20% for obesity [10, 11]. Treating critically ill patients with obesity is challenging due to difficulties in airway management and oxygenation, nutritional support with underlying metabolic syndrome and diabetes, altered pharmacokinetics, high risk of acute kidney injury, and higher risk of serious complications [12]. Thus, one would expect that obesity would inadvertently influence the already poor outcome of critical illness. However, many observational studies have shown a decreased mortality in overweight and moderate obesity compared to normal weight critically ill patients [13–14, 15••]. This unexpected phenomenon has been termed “obesity paradox,” and it has also been observed in various acute and chronic diseases, like sepsis, acute respiratory distress syndrome (ARDS), heart failure, coronary artery disease, and chronic renal failure [16•, 17, 18•, 19,20,21]. The “obesity paradox” in critical illness has raised great consideration in the scientific community, and numerous cohort studies were carried out aiming at elucidating this phenomenon.
In this review, we analyze the epidemiologic data regarding the “obesity paradox” or survival benefit in critical illness, including meta-analyses and recent clinical studies: we discuss methodological issues and metabolic implications of obesity in critical illness; we highlight potential pathophysiologic mechanisms explaining this phenomenon; and finally, we present the clinical implications and future perspectives.
The Obesity Paradox in Critical Illness: Epidemiologic Data
Data from Meta-analyses
Meta-analyses of observational studies investigating the association of obesity with mortality in critically ill patients are summarized in Table 1. Studies regarding mixed critically ill populations were analyzed in 4 meta-analyses, one of them being recent [13–14, 15••, 22], while 5 meta-analyses investigated selected critically ill patients: sepsis (2), ARDS (2), and trauma (1) [17, 18•, 23••, 24–25].
In a large meta-analysis of 23 observational studies and 76,737 critically ill patients, Oliveros et al. demonstrated a significantly decreased mortality risk in overweight and patients with obesity, but not those with severe obesity, compared to normal weight patients, despite a longer length of intensive care unit (ICU) stay and an increased risk of multiple organ dysfunction [13]. These studies reported BMI upon ICU admission and various outcome measures including ICU, hospital, and 28-day mortality. They were highly heterogeneous, while mortality risk was not adjusted in 9 studies. In a concurrent meta-analysis, Akinnusi et al. analyzed 14 studies (included in the previous meta-analysis) aiming to explore the association of obesity with ICU mortality [22]. The authors reported that although obesity (BMI ≥ 30 kg/m2) was not associated with crude ICU mortality, hospital mortality was lower in patients with obesity compared to those without (BMI < 30 kg/m2). Moreover, in a subgroup analysis, they showed that patients with obesity and BMI 30–39.9 kg/m2 had lower ICU mortality than those with BMI < 30 kg/m2. In this meta-analysis, comparisons were made with patients without obesity as a reference group. Thus, considering underweight, normal weight, and overweight as one group may have resulted in missed opportunities to identify any association of overweight with ICU mortality. In a subsequent analysis, Hogue et al. included 8 studies reporting ICU mortality after risk adjustment, stratified by BMI category, and found no difference in ICU mortality of all BMI classes compared to normal BMI, while patients with obesity had lower hospital mortality [14]. However, included studies were extremely heterogeneous. Finally, a more recent meta-analysis of 199,421 adult critically ill patients receiving mechanical ventilation (MV) investigating the impact of obesity on ICU, hospital, short-term, and long-term mortality showed that those with obesity (BMI ≥ 30 kg/m2) had lower mortality compared to those without (BMI < 30 kg/m2) regarding all measures of mortality [15••]. Subgroup analysis further showed that patients with obesity (BMI 30–39.9 kg/m2) had lower ICU mortality compared to normal weight patients (BMI 18.5–24.9 kg/m2). Overall, the abovementioned meta-analyses are in agreement regarding the survival benefit of obesity in critical illness compared to normal weight, while overweight was also associated with lower mortality risk in one meta-analysis [13] and patients with obesity and severe obesity had a lower in-hospital mortality as shown in the largest and most recent meta-analysis [15••].
Two recent meta-analyses analyzed collectively 11 studies regarding the impact of obesity in the outcome of critically ill patients with sepsis, severe sepsis, or septic shock [17, 23••]. Pepper et al. found that overweight and patients with obesity had a lower adjusted mortality risk compared to normal weight, while they could not demonstrate an association with mortality in patients with severe obesity and in underweight subjects [17]. The researchers combined data for mortality at various time points (ICU; hospital; 28, 30, and 60 days) while studies were moderately heterogeneous. However, all studies adjusted mortality for severity of disease as well as multiple baseline parameters. In a larger meta-analysis of high quality studies including 3 studies of the previous meta-analysis with 5 additional studies, Wang et al. confirmed the findings of Pepper et al. for overweight but not patients with obesity [23••]. Again, researchers reported adjusted mortality estimates.
Zhi et al. conducted a meta-analysis of 24 studies including a large number of study participants (N = 9,187,248) to investigate the obesity paradox in critically ill patients with acute lung injury (ALI) and ARDS [24]. Although they demonstrated that obesity and morbid obesity were associated with an increased risk of ARDS/ALI (based on data from 16 studies), overweight and obesity presented a lower mortality risk compared to normal weight, while morbid obesity was not associated with mortality (based on data from 9 studies). Nevertheless, certain methodological issues such as the high heterogeneity of studies, the inconsistent obesity, and ARDS definitions employed across studies as well as failure to adjust for major confounding factors may limit the value of this finding. Another meta-analysis including 5 studies from the USA further showed that critically ill patients with obesity or morbid obesity and ARDS presented lower mortality compared to normal weight patients [18•]. This analysis considered combined mortality measures while there was no adjustment for age, gender, severity of disease, and comorbid illness. Additionally, patients with obesity had lower severity scores and were younger than the reference group.
The association of obesity with the outcome of critically ill patients with trauma was evaluated by Liu et al. in a meta-analysis of 18 studies [25]. They reported a higher mortality in patients with BMI ≥ 30 kg/m2 compared to those with BMI < 30 kg/m2 and a significantly increased mortality risk of those with obesity compared to normal weight patients. The comparison was made between groups with a similar injury severity score (ISS). However, their analysis included highly heterogeneous studies with regard to study design and quality, inclusion criteria, BMI classification, and mortality at various time points, not adjusted for key confounding variables in all studies.
Overall, despite methodological limitations, all meta-analyses are in agreement regarding the lower mortality risk associated with obesity in critically ill patients, either considered as a group, or in selected populations like patients with sepsis and ARDS, but not in critically ill patients with trauma, who present a higher mortality risk associated with obesity. Moreover, 4 meta-analyses (1 in critically ill, 2 in septic, and 1 in ARDS patients) showed that overweight was also associated with decreased mortality compared to normal weight.
Data from Recent Studies
While the meta-analyses presented herein have evaluated studies through 2017, there are a number of relevant studies, published in the last 3 years, not included in these meta-analyses. Two retrospective observational studies confirmed a survival benefit of overweight and obesity in critically ill patients in the USA (N = 1,042,710) and in Asia (N = 273) [26, 27]. Furthermore, in an interesting retrospective review of a large USA single-center database of critically ill patients, Acharya et al. evaluated the effect of comorbidity burden in critically ill patients of all BMI classes [28••]. The authors studied 11,433 adult patients admitted to the ICU during a 12-year period and classified them according to 30 comorbid diseases. They found that overweight and obesity were associated with decreased risk for hospital and 30-day mortality compared to normal weight, regardless of the comorbidity burden. They also showed a consistent trend towards lower mortality with higher BMI regardless of comorbidities, refuting the hypothesis that a difference in comorbid diseases is responsible for the obesity paradox in critical illness. This finding is also in line with a recently published large study from the UK including more than 0.5 million ICU patients that showed that the optimal weight associated with the lowest hospital mortality was in the range of class I obesity (BMI 34.3 kg/m2) [29••]. Finally, a recent retrospective review on 373 medical ICU patients with obesity failed to demonstrate an increased mortality in the higher BMI groups reporting similar mortality rates between patients with obesity (BMI 30–40 kg/m2), severe obesity (BMI 40–50 kg/m2), and very severe obesity (BMI > 50 kg/m2) [30].
Studies regarding selected critically ill populations such as patients with sepsis, acute and chronic renal failure, post-operative, and patients receiving extracorporeal membrane oxygenation (ECMO) have also explored the obesity-related survival benefit. Two retrospective cohort analyses in 5563 and 55,038 adult critically ill patients with sepsis from US hospitals reported that overweight and obesity was associated with a lower short- and long-term mortality, after adjustment for multiple confounding factors including age, gender, race, weight loss, severity of disease, site of infection, and comorbidities [31•, 32••]. Furthermore, a retrospective study regarding acute kidney injury (AKI) in critically patients with sepsis showed that although obesity was a risk factor for the development of AKI during sepsis, it was not associated with hospital mortality [33]. However, a retrospective analysis of 12,206 with chronic renal disease found that, among those who did not require renal replacement therapy, overweight and those with obesity had the lowest mortality, while patients with BMI < 20 kg/m2 and ≥ 40 kg/m2 had the highest mortality rate, after adjustment for age, gender, and comorbidities [34]. Finally, a study of 194 patients with acute respiratory failure requiring ECMO in a dedicated ICU could not demonstrate any association of obesity with increased mortality [35]. In conclusion, evidence from recent studies confirms the survival benefit of overweight/obesity in critical illness, being in line with previous meta-analyses.
Epidemiologic and Methodological Considerations
Studies regarding the mortality risk in critical illness with regard to body weight present considerable methodological limitations. A major argument is that critical illness is not a homogenous disease but rather represents an acute stress state characterized by life-threatening multiple organ dysfunction or failure. Therefore, critical ill patients comprise a heterogeneous population per se. Most relevant studies include mixed (medical and surgical) populations. Previous clinical studies have shown that surgical critically ill patients have a better outcome than medical patients [11, 36]. These differences in the outcome between medical and surgical patients have also been shown in critically ill patients with obesity [11, 31•], while evidence suggest a survival benefit of obesity in surgical patients [37, 38].
A retrospective cohort study investigated medical and surgical critically ill patients separately and found that surgical patients with BMI 30–40 kg/m2 had a lower mortality risk, while medical patients with a BMI > 30 kg/m2 showed a non-significant trend towards lower mortality risk compared to normal weight patients [39]. However, other studies in surgical populations failed to demonstrate an association of BMI with mortality, while studies in medical critically ill patients have been contradicting [40,41,42,43]. As most meta-analyses have evaluated studies with either medical, surgical, or mixed populations as a whole, a possible favorable effect of obesity on mortality risk due to the better outcome of the surgical patients cannot be excluded. However, the meta-analyses also included studies on trauma patients, who present worse outcomes with increasing BMI [25]. According to recent observational data, an inverse association between BMI and in-hospital mortality has also been demonstrated in non-critically ill hospitalized adults in internal medicine, surgical, and other specialty departments, suggesting a broader protective effect of obesity in various acute disease states requiring hospitalization [44].
On the other hand, evidence regarding the obesity related survival benefit in selected critically ill populations like patients with sepsis or ARDS has been more consistent. Two recent meta-analyses of 11 studies in total regarding critically ill patients with sepsis have reported that adjusted mortality was significantly lower in overweight compared to normal weight patients, while a lower mortality in patients with obesity was found in one of them [17, 23••]. This finding is further supported by a more recent retrospective analysis based on clinical data of a large cohort of 5563 critically ill patients with sepsis reporting a significant protective effect in overweight as well as in the whole range of obesity including morbid obesity, with significantly better short- and long-term outcomes [31•]. Regarding ARDS, two meta-analyses of 24 studies in total agree on the favorable outcome associated with higher than normal BMI [18•, 24]. However, there are some important methodological issues since adjustment for major confounding factors such as age, gender, severity of disease, and comorbidities was not considered, and BMI classification was not consistent in the studies included in the meta-analyses.
An important source of bias is the use of self-reported instead of measured weight and height values used to calculate BMI, resulting in possible misclassification of patients, producing systematic errors and heterogeneity in the results. However, a meta-analysis of all-cause mortality in the general population including studies using measured or self-reported weight and height reported that the association of overweight with lower mortality persisted even when the studies based on self-reported values were excluded from the analysis [45]. Moreover, a recent study exploring the impact of measured or estimated weight and height values on the association of BMI with mortality in 690,405 critically ill patients in the UK showed that this association was independent of measurement or estimation of weight and height and also confirmed the J-shaped association with the “optimal” range well above the normal BMI values and the nadir of this curve at BMI 34.3 kg/m2 [29••].
Nevertheless, even when studies use measured weight and height, there is a strong argument regarding the appropriate timing of measurements. The actual weight upon admission to the ICU may vary substantially from the weight before aggressive treatment such as fluid replacement and transfusion of blood products and drugs that have been applied in the first hours of critical illness in the emergency room or the ward. It seems that the most appropriate measure of weight should be the one before the onset of the acute illness leading to hospitalization. Furthermore, it has been shown that recent weight loss is an independent predictor of 30-day mortality in hospitalized patients, regardless of BMI [46]. Additionally, another possible confounder regarding the implications of obesity in critical illness outcomes is the effect of nutritional status, which is not well represented by BMI. Lower BMI values could result from a chronic devastating disease such as cancer, and therefore previously overweight or patients with obesity with a poor outcome may present with a “normal” weight on ICU admission. A large cohort study in a mixed critically ill population showed that the obesity associated survival benefit was attenuated after adjustment for nutritional status [47].
The issue of reliable reporting of overweight and obesity in epidemiologic studies is further complicated by the view that BMI is a poor index of body fat mass and fat distribution (visceral versus subcutaneous). Waist circumference and waist to hip ratio represent more reliable tools for assessment of fat distribution, which are useful to estimate additional risks related to expansion of visceral fat, after adjustment for BMI [48]. A subcutaneous distribution of fat is not associated with the same risk for metabolic and cardiovascular diseases as the visceral fat accumulation in subjects with similar BMI [49]. It is possible that better outcomes may reflect the influence of mixed population with obesity, with different metabolic profiles, not carrying the same risk. This issue was addressed by Acharya et al. in their recent study, showing that the survival benefit associated with obesity was independent from comorbidities [28••]. However, defining the metabolic derangements and phenotypes of obesity could be more helpful for a proper classification of obesity regarding cardiometabolic risks, than BMI alone.
It is noteworthy that researchers have questioned the optimal BMI in the general population as well, triggering a long-standing debate about the BMI range associated with the lowest mortality risk. Population studies have indicated that overweight is associated with the lowest mortality risk from all causes [50]. In particular, a previous meta-analysis of 26 observational studies and 388,622 individuals failed to confirm an increased mortality risk in overweight, questioning the current classification of overweight [51]. Furthermore, a more recent systematic review of 97 studies and a sample size of more than 2.88 million individuals investigating the association of all-cause mortality with overweight and obesity in the general population have shown that overweight is associated with significantly lower all-cause mortality, while class I obesity was not associated with mortality and only classes II and III obesity presented a significantly higher mortality [45]. However, a subsequent meta-analysis of 239 prospective studies and 10,625,411 participants from four continents found a gradual increase of all-cause mortality associated with both overweight and obesity in the general population [52]. Despite the conflicting data on this issue, more recent evidence from a cohort study of 3.6 million adults seems to unravel the association of BMI with overall mortality, demonstrating a J-shaped association, with the nadir of the association curve at BMI 25 kg/m2 and most of the mortality burden distributed to BMI ≥ 30 kg/m2 [8]. Another interesting finding of this study was that the association of BMI with mortality attenuated with age, shifting the nadir of the respective curve to the right for adults older than 70 years, and also differed by gender being stronger in men than in women [8]. Finally, in a recent study from Denmark regarding three cohorts from the same general population enrolled at different times from 1976 to 2013, it was demonstrated that the BMI associated with the lowest all-cause mortality has increased over time from 23.7 to 27 kg/m2, having moved to the overweight range [53].
Other important methodological issues that may limit the value of the meta-analyses presented herein are the inadequate adjustment for relevant confounding factors regarding the severity of critical illness and pre-existing diseases as well as the effects of treatment on outcomes. Some authors argue that there may be a selection bias for subjects with obesity who may receive better care. As obesity is known to increase morbidity and is associated with serious complications, patients with obesity and less severe illness may be admitted to the ICU earlier and receive better care, due to the anticipation of worse outcomes [12].
Overall, the epidemiologic finding of obesity-related survival benefit in critically ill patients should be interpreted with caution, mainly due to the inherent limitations of the observational studies supporting this finding, such as the retrospective design, the inadequate adjustment for confounding variables, the possibility of selection bias, and the use of BMI as an obesity index.
Metabolic Considerations
Obesity is associated with various metabolic, endocrine, and immune alterations, while in the context of critical illness, further structural and functional changes of adipose tissue may possibly reflect adaptive responses to stress and altered physiology. Adipose tissue is an active endocrine organ producing a plethora of bioactive molecules, collectively referred to as adipokines, which exert endocrine, paracrine, and autocrine actions [54]. Considering total body fat mass, adipose tissue is actually the larger endocrine organ in the body, consisting of various types of cells beside adipocytes: preadipocytes, stroma cells, fibroblasts, endothelial cells, and numerous immune cells such as macrophages, lymphocytes, and eosinophils, while it is also highly vascularized and innervated [54,55,56]. Amid adipose tissue secretome, there are hormones, cytokines, chemokines, complement, coagulation and fibrinolysis system proteins, growth factors, and enzymes involved in steroid synthesis. Through these secreted molecules, adipose tissue regulates body metabolism, endocrine, and immune functions, while it also interacts with other body systems (neural, endocrine, and immune), expressing alterations in cell synthesis and function during disease [57, 58].
Obesity is not only the result of a simple expansion and accumulation of fat. Adipose tissue undergoes various cellular and structural changes while it expands. This process is called remodeling and comprises a range of specific alterations: adipocyte hypertrophy and hyperplasia, extracellular matrix adaptation, expansion of the vasculature, and inflammatory cell infiltration [59]. Once obesity is established, it results in adipose tissue dysfunction characterized by limited ability to store lipids, altered adipokine expression, chronic inflammation, and fibrosis [60]. The dysfunctional adipose tissue is responsible for the metabolic dysregulation such as insulin resistance [61,62,63,64].
Critical illness also results in morphological and functional changes of adipose tissue. Despite severe muscle wasting in critical illness, adipose tissue is preserved and it is characterized by an increased number of newly differentiated smaller adipocytes, while infiltration by macrophages is prominent [65]. The enhanced ability of the increased numbers of the adipocytes to uptake and metabolize glucose and to store triglycerides during critical illness has been postulated to exert beneficial metabolic effects, by reducing the circulating concentrations of these potentially toxic molecules, thus attenuating their detrimental metabolic effects [65]. Additionally, adipose tissue macrophages exhibit a phenotype switch from M1 inflammatory state to M2 anti-inflammatory type [66, 67]. M2-type macrophages have been shown to exert protective and healing actions such as enhanced phagocytic ability, attenuation of inflammation, insulin-sensitizing properties, and tissue remodeling [68]. Whether these changes contribute to a better outcome in patients with obesity has yet to be proven. However, they may suggest a potential adaptive process in response to critical illness with immunometabolically protective implications.
Other pathophysiologic mechanisms which are postulated to be beneficial and may result in a favorable outcome in critically ill patients with obesity are summarized below (Fig. 1):
-
Higher energy reserves: Critical illness is a hypercatabolic state characterized by increased energy demands. Overweight and patients with obesity are able to provide substrates, due to high lipid depots, meeting the higher demands of the activated immune system in the context of critical illness, while liver and muscle energy consumption is diminished [69]. This mechanism is supported by a large cohort study in over 1 million critically ill patients that demonstrated that early enteral nutrition may increase survival in patients with BMI < 25 kg/m2 [26].
-
Anti-inflammatory immune profile: During the acute phase of critical illness, inflammatory adipokines and cytokines increase while M1-type macrophages predominate in adipose tissue [70]. However, the chronic phase of critical illness is characterized by an anti-inflammatory adipokine profile and an M2-type macrophage accumulation [67]. Obesity has been shown to exhibit a blunted inflammatory response [71]. An attenuated pro-inflammatory cytokine profile has been shown in patients with obesity and ARDS as well as in animal studies [72, 73]. Leptin, the classic adipokine, exerts immunomodulatory actions which may be related to favorable outcomes in sepsis [74,75,76], while adiponectin, an anti-inflammatory adipokine, has been shown to be protective in post-operative and critically ill patients with sepsis [77,78,79].
-
Inflammatory preconditioning: Obesity is associated with a chronic low-grade inflammation. It is postulated that this chronic inflammatory state triggers multiple anti-inflammatory and anti-oxidant endogenous pathways as an adaptive response to counteract the chronic inflammation of obesity. In the context of critical illness, new onset acute inflammatory reactions may be blunted due to a protective environment created by preconditioning. This hypothesis is supported by research findings including impaired neutrophil chemotaxis and M2-type macrophage switching [80].
-
Endotoxin neutralization: Adipose tissue is the source of lipoproteins, which act as scavengers for lipopolysaccharide (LPS). High-density lipoprotein (HDL) has been shown to attenuate LPS-induced cytokine production [81].
-
Adrenal steroid synthesis: Critical illness may cause adrenal insufficiency resulting in hemodynamic suppression. Cholesterol derived from adipose tissue is a substrate for steroid synthesis. Restoring natural steroids may have beneficial hemodynamic effects [82].
-
Renin-angiotensin system activation: Adipose tissue produces angiotensinogen and activates rennin-angiotensin system, which normally exerts mainly paracrine actions. However, in obesity, angiotensinogen production is increased with systemic implications in blood pressure regulation. Thus, increased activity of the renin-angiotensin system may be protective against circulatory failure, which is common in critical illness [83, 84].
-
Cardioprotective metabolic effects: Studies have shown that obesity confers a protection against death in patients with established coronary artery disease, possibly through favorable vascular anti-inflammatory actions [85].
-
Prevention of muscle wasting and weakness: In animal and human studies, obesity has been linked to reduced muscle wasting during critical illness compared to normal weight subjects [86]. Obesity attenuates the activity of the ubiquitin-proteasome and the autophagy-lysosome pathways, which are associated with muscle wasting in critical illness [87]. Moreover, a different metabolic response has been shown in animals with obesity during prolonged critical illness, characterized by the preferential use of fat from adipose tissue rather than ectopically stored lipids and proteins as energy substrates along with an increased fatty acid and glycerol turnover rate due to more efficient hepatic breakdown of these substrates [88].
Is There an “Obesity Paradox” in Critical Illness?
The “obesity paradox” in critical illness represents an intriguing and challenging finding. Many researchers have investigated this phenomenon and reported lower mortality rates in overweight and patients with moderate obesity compared to critically ill patients with normal weight, while others have questioned it arguing that a flawed methodology may be responsible for the “unexpected” survival benefit [89]. Nevertheless, most meta-analyses, including the most recent ones evaluating data from a large number of participants, have confirmed the survival benefit of obesity in critical illness [13, 15••, 17, 18•, 24]. Furthermore, subsequent studies have addressed some of the methodological issues successfully, putting into question the paradoxical nature of this phenomenon [28••, 32]. Consequently, it has been proposed that the term “paradox” is inaccurate and misleading [90] and an intriguing concept that optimal weight varies between health and disease and between different disease states is gaining ground [50].
Although obesity is a major risk factor for cardiovascular, metabolic, and other diseases with known detrimental effects on health in the long term, studies have consistently shown that once a chronic disease such as coronary artery disease, heart failure, or chronic renal failure is established, overweight and moderate obesity is no longer a risk factor for mortality as one would expect [19]. The “obesity paradox” has also been consistently shown in acute disease states such as pneumonia, ARDS, and sepsis [17, 18•, 91]. All the above diseases or syndromes are critical disease states characterized by life-threatening organ dysfunction and share common pathophysiologic mechanisms. Critical illness, although not an individual disease, is actually an acute stress state of diverse etiologies, involving complex biological processes and affecting multiple organ systems. Thus, as the optimal weight associated to a lower mortality risk varies with age, gender, and disease, critical illness may also present a different mortality risk—BMI association curve presenting a nadir moving to the right compared to healthy state [8].
There are multiple possible explanations of the “obesity paradox” in critical illness comprising a range of immune, metabolic, and endocrine alterations of adipose tissue in critically ill patients with obesity (Fig. 1). These postulated mechanisms are mostly based in experimental studies, although some of them are supported by clinical studies as well. However, current evidence cannot fully explain the “obesity paradox”.
Clinical Implications and Future Perspectives
As obesity is an established risk factor for many chronic diseases and cancer, a global strategy to reduce obesity in the general population is an important primary prevention measure. However, overweight/obesity may also be protective in the context of specific acute and chronic disease states. Therefore, aiming at a normal weight is a good strategy for preventing a wide range of diseases, but once specific diseases have been developed, obesity may no longer be harmful but rather protective. Since critical illness often occurs in patients at risk due to pre-existing diseases, strategies to reduce body weight may actually result in higher mortality risk in specific patient groups suffering from chronic illness.
More epidemiologic data are needed to define the optimal weight in critical illness including specific critically ill patient groups such as sepsis, ARDS, and surgical and trauma patients. Future prospective studies, specifically designed to investigate the association of obesity with mortality as the primary outcome, should take special care in avoiding known selection bias and adjusting for important confounding factors including recent weight changes, smoking, chronic diseases, severity of critical illness, and therapeutic interventions. Moreover, more accurate measures of obesity better characterizing body composition (body fat and lean mass) and fat distribution (waist circumference and waist to hip ratio) should be used, preferably before the onset of critical illness. Thus, future research may produce more robust evidence regarding the obesity-related survival benefit in critical illness and may clarify any causal association.
Finally, as epidemiologic studies investigating the effect of obesity on mortality are observational, by nature they cannot explain the mechanisms behind the reported results. Therefore, research should also focus on explaining this phenomenon, by investigating the pathophysiological processes that are observed in obesity in the context of critical illness. To this end, unraveling the multifaceted functions of adipose tissue is a promising research field that may help us understand the role and clinical implications of obesity in critical illness.
Conclusions
Meta-analyses as well as recently published studies regarding the obesity associated survival benefit in critical illness support the finding that overweight and obesity are associated with a significantly decreased mortality compared to normal weight. Moreover, this finding is in line with the lower mortality associated with obesity in selected critically ill populations such as patients with sepsis and ARDS. However, as most studies are retrospective in design, they present important methodological limitations. Larger prospective studies are needed to further clarify the impact of obesity in outcomes of critically ill patients. Future research focused on elucidating the pathophysiologic mechanisms lying behind the survival benefit of obesity could offer new evidence for a more individualized approach to the critically ill patient.
References
Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance
Seidell JC, Halberstadt J. The global burden of obesity and the challenges of prevention. Ann Nutr Metab. 2015;66(Suppl 2):7–12. https://doi.org/10.1159/000375143.
Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014;384:766–81. https://doi.org/10.1016/s0140-6736(14)60460-8.
Afshin A, Forouzanfar MH, Reitsma MB, Sur P, Estep K, Lee A, et al. Health effects of overweight and obesity in 195 countries over 25 years. N Engl J Med. 2017;377:13–27. https://doi.org/10.1056/NEJMoa1614362.
Chooi YC, Ding C, Magkos F. The epidemiology of obesity. Metabolism. 2019;92:6–10. https://doi.org/10.1016/j.metabol.2018.09.005.
World Health Organization. Obesity and overweight fact sheet. In: WHO Media Centre. Cited February 16, 2018. https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight. Accessed November 25, 2019.
Kelly T, Yang W, Chen CS, Reynolds K, He J. Global burden of obesity in 2005 and projections to 2030. Int J Obes. 2008;32:1431–7. https://doi.org/10.1038/ijo.2008.102.
Dixon JB. The effect of obesity on health outcomes. Mol Cell Endocrinol. 2010;316:104–8. https://doi.org/10.1016/j.mce.2009.07.008.
Bhaskaran K, Dos-Santos-Silva I, Leon DA, Douglas IJ, Smeeth L. Association of BMI with overall and cause-specific mortality: a population-based cohort study of 3.6 million adults in the UK. Lancet Diabetes Endocrinol. 2018;6:944–53. https://doi.org/10.1016/s2213-8587(18)30288-2.
Kim DD, Basu A. Estimating the medical care costs of obesity in the United States: systematic review, meta-analysis, and empirical analysis. Value Health. 2016;19:602–13. https://doi.org/10.1016/j.jval.2016.02.008.
Sakr Y, Alhussami I, Nanchal R, Wunderink RG, Pellis T, Wittebole X, et al. Being overweight is associated with greater survival in ICU patients: results from the intensive care over nations audit. Crit Care Med. 2015;43:2623–32. https://doi.org/10.1097/ccm.0000000000001310.
De Jong A, Verzilli D, Sebbane M, Monnin M, Belafia F, Cisse M, et al. Medical versus surgical ICU obese patient outcome: a propensity-matched analysis to resolve clinical trial controversies. Crit Care Med. 2018;46:e294–301. https://doi.org/10.1097/ccm.0000000000002954.
Schetz M, De Jong A, Deane AM, Druml W, Hemelaar P, Pelosi P, et al. Obesity in the critically ill: a narrative review. Intensive Care Med. 2019;45:757–69. https://doi.org/10.1007/s00134-019-05594-1.
Oliveros H, Villamor E. Obesity and mortality in critically ill adults: a systematic review and meta-analysis. Obesity (Silver Spring). 2008;16:515–21. https://doi.org/10.1038/oby.2007.102.
Hogue CW Jr, Stearns JD, Colantuoni E, Robinson KA, Stierer T, Mitter N, et al. The impact of obesity on outcomes after critical illness: a meta-analysis. Intensive Care Med. 2009;35:1152–70. https://doi.org/10.1007/s00134-009-1424-5.
•• Zhao Y, Li Z, Yang T, Wang M, Xi X. Is body mass index associated with outcomes of mechanically ventilated adult patients in intensive critical units? A systematic review and meta-analysis. PLoS One 2018;13:e0198669. Doi:https://doi.org/10.1371/journal.pone.0198669. This large meta-analysis of 23 studies from 4 continents and 199,421 critically ill patients receiving mechanical ventilation demonstrated that obese had lower ICU, hospital, short- and long-term mortality compared to non-obese, while obese and severely obese had lower hospital mortality compared to normal weight patients. It is the most recent meta-analysis that supports the obesity paradox in critically ill patients, despite showing that obesity is associated with longer duration of mechanical ventilation and ICU stay.
• Karampela I, Christodoulatos GS, Dalamaga M. The role of adipose tissue and adipokines in sepsis: inflammatory and metabolic considerations, and the obesity paradox. Curr Obes Rep 2019;8:434-57. Doi:https://doi.org/10.1007/s13679-019-00360-2. This review highlights recent insights in the metabolic responses to sepsis and the obesity paradox and summarizes current evidence on the role of adipose tissue and adipokines in sepsis severity and outcome.
Pepper DJ, Sun J, Welsh J, Cui X, Suffredini AF, Eichacker PQ. Increased body mass index and adjusted mortality in ICU patients with sepsis or septic shock: a systematic review and meta-analysis. Crit Care. 2016;20:181. https://doi.org/10.1186/s13054-016-1360-z.
• Ni YN, Luo J, Yu H, Wang YW, Hu YH, Liu D et al. Can body mass index predict clinical outcomes for patients with acute lung injury/acute respiratory distress syndrome? A meta-analysis. Crit Care 2017;21:36. Doi:https://doi.org/10.1186/s13054-017-1615-3. This meta-analysis exploring the association of BMI with outomes of adult patients with ARDS included 5 multicenter studies from the USA and found that obese and morbidly obese had lower mortality compared to normal weight patients.
Carbone S, Canada JM, Billingsley HE, Siddiqui MS, Elagizi A, Lavie CJ. Obesity paradox in cardiovascular disease: where do we stand? Vasc Health Risk Manag. 2019;15:89–100. https://doi.org/10.2147/vhrm.s168946.
De Schutter A, Lavie CJ, Milani RV. The impact of obesity on risk factors and prevalence and prognosis of coronary heart disease-the obesity paradox. Prog Cardiovasc Dis. 2014;56:401–8. https://doi.org/10.1016/j.pcad.2013.08.003.
Vareldzis R, Naljayan M, Reisin E. The incidence and pathophysiology of the obesity paradox: should peritoneal dialysis and kidney transplant be offered to patients with obesity and end-stage renal disease? Curr Hypertens Rep. 2018;20:84. https://doi.org/10.1007/s11906-018-0882-y.
Akinnusi ME, Pineda LA, El Solh AA. Effect of obesity on intensive care morbidity and mortality: a meta-analysis. Crit Care Med. 2008;36:151–8. https://doi.org/10.1097/01.ccm.0000297885.60037.6e.
•• Wang S, Liu X, Chen Q, Liu C, Huang C, Fang X. The role of increased body mass index in outcomes of sepsis: a systematic review and meta-analysis. BMC Anesthesiol 2017;17:118. Doi:https://doi.org/10.1186/s12871-017-0405-4. This systematic review and meta-analysis pooled data from 8 studies and 9696 patients with sepsis and showed that overweight, but not obese and morbidly obese, had significantly lower mortality.
Zhi G, Xin W, Ying W, Guohong X, Shuying L. “Obesity paradox” in acute respiratory distress syndrome: asystematic review and meta-analysis. PLoS One. 2016;11:e0163677. https://doi.org/10.1371/journal.pone.0163677.
Liu T, Chen JJ, Bai XJ, Zheng GS, Gao W. The effect of obesity on outcomes in trauma patients: a meta-analysis. Injury. 2013;44:1145–52. https://doi.org/10.1016/j.injury.2012.10.038.
Harris K, Zhou J, Liu X, Hassan E, Badawi O. The obesity paradox is not observed in critically ill patients on early enteral nutrition. Crit Care Med. 2017;45:828–34. https://doi.org/10.1097/ccm.0000000000002326.
Mukhopadhyay A, Kowitlawakul Y, Henry J, Ong V, Leong CS, Tai BC. Higher BMI is associated with reduced mortality but longer hospital stays following ICU discharge in critically ill Asian patients. Clin Nutr ESPEN. 2018;28:165–70. https://doi.org/10.1016/j.clnesp.2018.08.009.
•• Acharya P, Upadhyay L, Qavi A, Naaraayan A, Jesmajian S, Acharya S et al. The paradox prevails: outcomes are better in critically ill obese patients regardless of the comorbidity burden. J Crit Care 2019;53:25–31. Doi:https://doi.org/10.1016/j.jcrc.2019.05.004. This is an interesting retrospective review of a large US single-center database of critically ill patients exploring the possibility that differences in the comorbidity burden might explain the obesity paradox in critical illness. The authors evaluated 30 comorbidities in a cohort of 11,433 ICU patients and found that, regardless of the comorbidity burden, overweight and obese had decreased risk for hospital and 30-day mortality compared to normal weight with a consistent trend towards lower mortality with higher BMI.
•• Toft-Petersen AP, Wulff J, Harrison DA, Ostermann M, Margarson M, Rowan KM et al. Exploring the impact of using measured or estimated values for height and weight on the relationship between BMI and acute hospital mortality. J Crit Care 2018;44:196–202. Doi:https://doi.org/10.1016/j.jcrc.2017.11.021. This study of 690,405 critically ill patients in the UK addresses the methodological problem of whether estimated weight and height affects the association of BMI with mortality compared to measured values. The researchers report that this association was independent of measurement or estimation of weight and height and also demonstrated a J-shaped association of BMI with mortality with the “optimal” range well above the normal BMI values, in the obesity range, supporting the obesity-related survival benefit in critical illness.
Kumar SI, Doo K, Sottilo-Brammeier J, Lane C, Liebler JM. Super obesity in the medical intensive care unit. J Intensive Care Med. 2018;885066618761363:478–84. https://doi.org/10.1177/0885066618761363.
• Li S, Hu X, Xu J, Huang F, Guo Z, Tong L et al. Increased body mass index linked to greater short- and long-term survival in sepsis patients: A retrospective analysis of a large clinical database. Int J Infect Dis 2019;87:109–16. Doi:https://doi.org/10.1016/j.ijid.2019.07.018. In this retrospective analysis from a US medical institution, overweight and obese critically ill patients with sepsis had lower 30-day and 1-year mortality, after adjustment for confounding factors, compared to normal weight patients.
•• Pepper DJ, Demirkale CY, Sun J, Rhee C, Fram D, Eichacker P et al. Does obesity protect against death in sepsis? A retrospective cohort study of 55,038 adult patients. Crit Care Med 2019;47:643–50. Doi:https://doi.org/10.1097/ccm.0000000000003692. This retrospective study of a large clinical data repository of 139 US hospitals demonstrated that adult patients with sepsis and higher body mass indices had lower hospital mortality compared to normal weight patients, both in unadjusted and adjusted analyses.
Gameiro J, Goncalves M, Pereira M, Rodrigues N, Godinho I, Neves M, et al. Obesity, acute kidney injury and mortality in patients with sepsis: a cohort analysis. Ren Fail. 2018;40:120–6. https://doi.org/10.1080/0886022x.2018.1430588.
Druml W, Zajic P, Winnicki W, Fellinger T, Metnitz B, Metnitz P. Association of body mass index and outcome in acutely ill patients with chronic kidney disease requiring intensive care therapy. J Ren Nutr. 2019. https://doi.org/10.1053/j.jrn.2019.09.006.
Galvagno SM Jr, Pelekhaty S, Cornachione CR, Deatrick KB, Mazzeffi MA, Scalea TM, et al. Does weight matter? Outcomes in adult patients on venovenous extracorporeal membrane oxygenation when stratified by obesity class. Anesth Analg. 2019. https://doi.org/10.1213/ane.0000000000004454.
Ball IM, Bagshaw SM, Burns KE, Cook DJ, Day AG, Dodek PM, et al. Outcomes of elderly critically ill medical and surgical patients: a multicentre cohort study. Can J Anaesth. 2017;64:260–9. https://doi.org/10.1007/s12630-016-0798-4.
Benjamin ER, Dilektasli E, Haltmeier T, Beale E, Inaba K, Demetriades D. The effects of body mass index on complications and mortality after emergency abdominal operations: the obesity paradox. Am J Surg. 2017;214:899–903. https://doi.org/10.1016/j.amjsurg.2017.01.023.
Wacharasint P, Fuengfoo P, Rangsin R, Morakul S, Chittawattanarat K, Chaiwat O. Prevalence and impact of overweight and obesity in critically ill surgical patients: analysis of THAI-SICU study. J Med Assoc Thail. 2016;99(Suppl 6):S55–s62.
Finkielman JD, Gajic O, Afessa B. Underweight is independently associated with mortality in post-operative and non-operative patients admitted to the intensive care unit: a retrospective study. BMC Emerg Med. 2004;4:3. https://doi.org/10.1186/1471-227x-4-3.
Tafelski S, Yi H, Ismaeel F, Krannich A, Spies C, Nachtigall I. Obesity in critically ill patients is associated with increased need of mechanical ventilation but not with mortality. J Infect Public Health. 2016;9:577–85. https://doi.org/10.1016/j.jiph.2015.12.003.
Nasraway SA Jr, Albert M, Donnelly AM, Ruthazer R, Shikora SA, Saltzman E. Morbid obesity is an independent determinant of death among surgical critically ill patients. Crit Care Med. 2006;34:964–70; quiz 71. https://doi.org/10.1097/01.ccm.0000205758.18891.70.
El-Solh A, Sikka P, Bozkanat E, Jaafar W, Davies J. Morbid obesity in the medical ICU. Chest. 2001;120:1989–97. https://doi.org/10.1378/chest.120.6.1989.
Ray DE, Matchett SC, Baker K, Wasser T, Young MJ. The effect of body mass index on patient outcomes in a medical ICU. Chest. 2005;127:2125–31. https://doi.org/10.1378/chest.127.6.2125.
Cereda E, Klersy C, Hiesmayr M, Schindler K, Singer P, Laviano A, et al. Body mass index, age and in-hospital mortality: the NutritionDay multinational survey. Clin Nutr. 2017;36:839–47. https://doi.org/10.1016/j.clnu.2016.05.001.
Flegal KM, Kit BK, Orpana H, Graubard BI. Association of all-cause mortality with overweight and obesity using standard body mass index categories: a systematic review and meta-analysis. Jama. 2013;309:71–82. https://doi.org/10.1001/jama.2012.113905.
Barazzoni R, Sulz I, Schindler K, Bischoff SC, Gortan Cappellari G, Hiesmayr M. A negative impact of recent weight loss on in-hospital mortality is not modified by overweight and obesity. Clin Nutr. 2019. https://doi.org/10.1016/j.clnu.2019.11.007.
Robinson MK, Mogensen KM, Casey JD, McKane CK, Moromizato T, Rawn JD, et al. The relationship among obesity, nutritional status, and mortality in the critically ill. Crit Care Med. 2015;43:87–100. https://doi.org/10.1097/ccm.0000000000000602.
Neeland IJ, Poirier P, Despres JP. Cardiovascular and metabolic heterogeneity of obesity: clinical challenges and implications for management. Circulation. 2018;137:1391–406. https://doi.org/10.1161/circulationaha.117.029617.
Antonopoulos AS, Tousoulis D. The molecular mechanisms of obesity paradox. Cardiovasc Res. 2017;113:1074–86. https://doi.org/10.1093/cvr/cvx106.
Dixon JB, Egger GJ, Finkelstein EA, Kral JG, Lambert GW. ‘Obesity paradox’ misunderstands the biology of optimal weight throughout the life cycle. Int J Obes. 2015;39:82–4. https://doi.org/10.1038/ijo.2014.59.
McGee DL. Body mass index and mortality: a meta-analysis based on person-level data from twenty-six observational studies. Ann Epidemiol. 2005;15:87–97. https://doi.org/10.1016/j.annepidem.2004.05.012.
Global BMIMC, Di Angelantonio E, Bhupathiraju Sh N, Wormser D, Gao P, Kaptoge S, et al. Body-mass index and all-cause mortality: individual-participant-data meta-analysis of 239 prospective studies in four continents. Lancet. 2016;388:776–86. https://doi.org/10.1016/s0140-6736(16)30175-1.
Afzal S, Tybjaerg-Hansen A, Jensen GB, Nordestgaard BG. Change in body mass index associated with lowest mortality in Denmark, 1976-2013. Jama. 2016;315:1989–96. https://doi.org/10.1001/jama.2016.4666.
Kershaw EE, Flier JS. Adipose tissue as an endocrine organ. J Clin Endocrinol Metab. 2004;89:2548–56. https://doi.org/10.1210/jc.2004-0395.
Ouchi N, Parker JL, Lugus JJ, Walsh K. Adipokines in inflammation and metabolic disease. Nat Rev Immunol. 2011;11:85–97. https://doi.org/10.1038/nri2921.
Oikonomou EK, Antoniades C. The role of adipose tissue in cardiovascular health and disease. Nat Rev Cardiol. 2019;16:83–99. https://doi.org/10.1038/s41569-018-0097-6.
Wang P, Mariman E, Renes J, Keijer J. The secretory function of adipocytes in the physiology of white adipose tissue. J Cell Physiol. 2008;216:3–13. https://doi.org/10.1002/jcp.21386.
Dalamaga M, Chou SH, Shields K, Papageorgiou P, Polyzos SA, Mantzoros CS. Leptin at the intersection of neuroendocrinology and metabolism: current evidence and therapeutic perspectives. Cell Metab. 2013;18:29–42. https://doi.org/10.1016/j.cmet.2013.05.010.
Pellegrinelli V, Carobbio S, Vidal-Puig A. Adipose tissue plasticity: how fat depots respond differently to pathophysiological cues. Diabetologia. 2016;59:1075–88. https://doi.org/10.1007/s00125-016-3933-4.
Sun K, Tordjman J, Clement K, Scherer PE. Fibrosis and adipose tissue dysfunction. Cell Metab. 2013;18:470–7. https://doi.org/10.1016/j.cmet.2013.06.016.
Koliaki C, Liatis S, Dalamaga M, Kokkinos A. Sarcopenic obesity: epidemiologic evidence, pathophysiology, and therapeutic perspectives. Curr Obes Rep. 2019;8:458–71. https://doi.org/10.1007/s13679-019-00359-9.
Vallianou N, Stratigou T, Christodoulatos GS, Dalamaga M. Understanding the role of the gut microbiome and microbial metabolites in obesity and obesity-associated metabolic disorders: current evidence and perspectives. Curr Obes Rep. 2019;8:317–32. https://doi.org/10.1007/s13679-019-00352-2.
Emfietzoglou R, Spyrou N, Mantzoros CS, Dalamaga M. Could the endocrine disruptor bisphenol-A be implicated in the pathogenesis of oral and oropharyngeal cancer? Metabolic considerations and future directions. Metabolism. 2019;91:61–9. https://doi.org/10.1016/j.metabol.2018.11.007.
Avgerinos KI, Spyrou N, Mantzoros CS, Dalamaga M. Obesity and cancer risk: emerging biological mechanisms and perspectives. Metabolism. 2019;92:121–35. https://doi.org/10.1016/j.metabol.2018.11.001.
Langouche L, Perre SV, Thiessen S, Gunst J, Hermans G, D'Hoore A, et al. Alterations in adipose tissue during critical illness: an adaptive and protective response? Am J Respir Crit Care Med. 2010;182:507–16. https://doi.org/10.1164/rccm.200909-1395OC.
Langouche L, Marques MB, Ingels C, Gunst J, Derde S, Vander Perre S, et al. Critical illness induces alternative activation of M2 macrophages in adipose tissue. Crit Care. 2011;15:R245. https://doi.org/10.1186/cc10503.
Marques MB, Langouche L. Endocrine, metabolic, and morphologic alterations of adipose tissue during critical illness. Crit Care Med. 2013;41:317–25. https://doi.org/10.1097/CCM.0b013e318265f21c.
Gordon S, Martinez FO. Alternative activation of macrophages: mechanism and functions. Immunity. 2010;32:593–604. https://doi.org/10.1016/j.immuni.2010.05.007.
Mittwede PN, Clemmer JS, Bergin PF, Xiang L. Obesity and critical illness: insights from animal models. Shock 2016;45:349–358. Doi:https://doi.org/10.1097/shk.0000000000000512.
Karampela I, Christodoulatos GS, Kandri E, Antonakos G, Vogiatzakis E, Dimopoulos G, et al. Circulating eNampt and resistin as a proinflammatory duet predicting independently mortality in critically ill patients with sepsis: a prospective observational study. Cytokine. 2019;119:62–70. https://doi.org/10.1016/j.cyto.2019.03.002.
Wacharasint P, Boyd JH, Russell JA, Walley KR. One size does not fit all in severe infection: obesity alters outcome, susceptibility, treatment, and inflammatory response. Crit Care. 2013;17:R122. https://doi.org/10.1186/cc12794.
Stapleton RD, Dixon AE, Parsons PE, Ware LB, Suratt BT. The association between BMI and plasma cytokine levels in patients with acute lung injury. Chest. 2010;138:568–77. https://doi.org/10.1378/chest.10-0014.
Maia LA, Cruz FF, de Oliveira MV, Samary CS, Fernandes MVS, Trivelin SAA, et al. Effects of obesity on pulmonary inflammation and remodeling in experimental moderate acute lung injury. Front Immunol. 2019;10:1215. https://doi.org/10.3389/fimmu.2019.01215.
Bornstein SR, Licinio J, Tauchnitz R, Engelmann L, Negrao AB, Gold P, et al. Plasma leptin levels are increased in survivors of acute sepsis: associated loss of diurnal rhythm, in cortisol and leptin secretion. J Clin Endocrinol Metab. 1998;83:280–3. https://doi.org/10.1210/jcem.83.1.4610.
Torpy DJ, Bornstein SR, Chrousos GP. Leptin and interleukin-6 in sepsis. Horm Metab Res. 1998;30:726–9. https://doi.org/10.1055/s-2007-978967.
Grigoras I, Branisteanu DD, Ungureanu D, Rusu D, Ristescu I. Early dynamics of leptin plasma level in surgical critically ill patients. A prospective comparative study. Chirurgia (Bucur). 2014;109:66–72.
Hillenbrand A, Xu P, Zhou S, Blatz A, Weiss M, Hafner S, et al. Circulating adipokine levels and prognostic value in septic patients. J Inflamm (Lond). 2016;13:30. https://doi.org/10.1186/s12950-016-0138-z.
Karampela I, Kandri E, Antonakos G, Vogiatzakis E, Christodoulatos GS, Nikolaidou A, et al. Kinetics of circulating fetuin-A may predict mortality independently from adiponectin, high molecular weight adiponectin and prognostic factors in critically ill patients with sepsis: a prospective study. J Crit Care. 2017;41:78–85. https://doi.org/10.1016/j.jcrc.2017.05.004.
Dalamaga M, Karampela I. Fetuin-A to adiponectin ratio is a promising prognostic biomarker in septic critically ill patients. J Crit Care. 2018;44:134–5. https://doi.org/10.1016/j.jcrc.2017.10.040.
Kordonowy LL, Burg E, Lenox CC, Gauthier LM, Petty JM, Antkowiak M, et al. Obesity is associated with neutrophil dysfunction and attenuation of murine acute lung injury. Am J Respir Cell Mol Biol. 2012;47:120–7. https://doi.org/10.1165/rcmb.2011-0334OC.
Chien JY, Jerng JS, Yu CJ, Yang PC. Low serum level of high-density lipoprotein cholesterol is a poor prognostic factor for severe sepsis. Crit Care Med. 2005;33:1688–93. https://doi.org/10.1097/01.ccm.0000171183.79525.6b.
Li J, Papadopoulos V, Vihma V. Steroid biosynthesis in adipose tissue. Steroids. 2015;103:89–104. https://doi.org/10.1016/j.steroids.2015.03.016.
Kalupahana NS, Moustaid-Moussa N. The adipose tissue renin-angiotensin system and metabolic disorders: a review of molecular mechanisms. Crit Rev Biochem Mol Biol. 2012;47:379–90. https://doi.org/10.3109/10409238.2012.694843.
Yvan-Charvet L, Quignard-Boulange A. Role of adipose tissue renin-angiotensin system in metabolic and inflammatory diseases associated with obesity. Kidney Int. 2011;79:162–8. https://doi.org/10.1038/ki.2010.391.
Hastie CE, Padmanabhan S, Slack R, Pell AC, Oldroyd KG, Flapan AD, et al. Obesity paradox in a cohort of 4880 consecutive patients undergoing percutaneous coronary intervention. Eur Heart J. 2010;31:222–6. https://doi.org/10.1093/eurheartj/ehp317.
Goossens C, Marques MB, Derde S, Vander Perre S, Dufour T, Thiessen SE, et al. Premorbid obesity, but not nutrition, prevents critical illness-induced muscle wasting and weakness. J Cachexia Sarcopenia Muscle. 2017;8:89–101. https://doi.org/10.1002/jcsm.12131.
Derde S, Vanhorebeek I, Guiza F, Derese I, Gunst J, Fahrenkrog B, et al. Early parenteral nutrition evokes a phenotype of autophagy deficiency in liver and skeletal muscle of critically ill rabbits. Endocrinology. 2012;153:2267–76. https://doi.org/10.1210/en.2011-2068.
Vanhorebeek I, Van den Berghe G. Hormonal and metabolic strategies to attenuate catabolism in critically ill patients. Curr Opin Pharmacol. 2004;4:621–8. https://doi.org/10.1016/j.coph.2004.07.007.
Kiraly L, Hurt RT, Van Way CW, 3rd. The outcomes of obese patients in critical care. JPEN J Parenter Enteral Nutr 2011;35:29s–35s. Doi:https://doi.org/10.1177/0148607111413774.
Flegal KM, Ioannidis JPA. The obesity paradox: a misleading term that should be abandoned. Obesity (Silver Spring). 2018;26:629–30. https://doi.org/10.1002/oby.22140.
Nie W, Zhang Y, Jee SH, Jung KJ, Li B, Xiu Q. Obesity survival paradox in pneumonia: a meta-analysis. BMC Med. 2014;12:61. https://doi.org/10.1186/1741-7015-12-61.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of Interest
Irene Karampela, Evangelia Chrysanthopoulou, Gerasimos Socrates Christodoulatos, and Maria Dalamaga declare that they have no conflict of interest.
Human and Animal Rights and Informed Consent
This article does not contain any studies with human or animal subjects performed by any of the authors.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This article is part of the Topical Collection on Metabolism
Rights and permissions
About this article
Cite this article
Karampela, I., Chrysanthopoulou, E., Christodoulatos, G.S. et al. Is There an Obesity Paradox in Critical Illness? Epidemiologic and Metabolic Considerations. Curr Obes Rep 9, 231–244 (2020). https://doi.org/10.1007/s13679-020-00394-x
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13679-020-00394-x