Literature DB >> 29883469

Is body mass index associated with outcomes of mechanically ventilated adult patients in intensive critical units? A systematic review and meta-analysis.

Yonghua Zhao1,2, Zhiqiang Li3, Tao Yang1, Meiping Wang1, Xiuming Xi1.   

Abstract

BACKGROUND: Obesity paradox refers to lower mortality in subjects with higher body mass index (BMI), and has been documented under a variety of condition. However, whether obesity paradox exists in adults requiring mechanical ventilation in intensive critical units (ICU) remains controversial.
METHODS: MEDLINE, EMBASE, China Biology Medicine disc (CBM) and CINAHL electronic databases were searched from the earliest available date to July 2017, using the following search terms: "body weight", "body mass index", "overweight" or "obesity" and "ventilator", "mechanically ventilated", "mechanical ventilation", without language restriction. Subjects were divided into the following categories based on BMI (kg/m2): underweight, < 18.5 kg/m2; normal, 18.5-24.9 kg/m2; overweight, BMI 25-29.9 kg/m2; obese, 30-39.9 kg/m2; and severely obese > 40 kg/m2. The primary outcome was mortality, and included ICU mortality, hospital mortality, short-term mortality (<6 months), and long-term mortality (6 months or beyond). Secondary outcomes included duration of mechanical ventilation, length of stay (LOS) in ICU and hospital. A random-effects model was used for data analyses. Risk of bias was assessed using the Newcastle-Ottawa quality assessment scale.
RESULTS: A total of 15,729 articles were screened. The final analysis included 23 articles (199,421 subjects). In comparison to non-obese patients, obese patients had lower ICU mortality (odds ratio (OR) 0.88, 95% CI 0.0.84-0.92, I2 = 0%), hospital mortality (OR 0.83, 95% CI 0.74-0.93, I2 = 52%), short-term mortality (OR 0.81, 95% CI 0.74-0.88, I2 = 0%) as well as long-term mortality (OR 0.69, 95% CI 0.60-0.79, I2 = 0%). In comparison to subjects with normal BMI, obese patients had lower ICU mortality (OR 0.88, 95% CI 0.82-0.93, I2 = 5%). Hospital mortality was lower in severely obese and obese subjects (OR 0.71, 95% CI 0.53-0.94, I2 = 74%, and OR 0.80, 95% CI 0.73-0.89, I2 = 30%). Short-term mortality was lower in overweight and obese subjects (OR 0.82, 95% CI 0.75-0.90, I2 = 0%, and, OR 0.75, 95% CI 0.66-0.84, I2 = 8%, respectively). Long-term mortality was lower in severely obese, obese and overweight subjects (OR 0.39, 95% CI 0.18-0.83, and OR 0.63, 95% CI 0.46-0.86, I2 = 56%, and OR 0.66, 95% CI 0.57-0.77, I2 = 0%). All 4 mortality measures were higher in underweight subjects than in subjects with normal BMI. Obese subjects had significantly longer duration on mechanical ventilation than non-obese group (mean difference (MD) 0.48, 95% CI 0.16-0.80, I2 = 37%), In comparison to subjects with normal BMI, severely obese BMI had significantly longer time in mechanical ventilation (MD 1.10, 95% CI 0.38-1.83, I2 = 47%). Hospital LOS did not differ between obese and non-obese patients (MD 0.05, 95% CI -0.52 to 0.50, I2 = 80%). Obese patients had longer ICU LOS than non-obese patients (MD 0.38, 95% CI 0.17-0.59, I2 = 70%). Hospital LOS and ICU LOS did not differ significantly in subjects with different BMI status.
CONCLUSIONS: In ICU patients receiving mechanical ventilation, higher BMI is associated with lower mortality and longer duration on mechanical ventilation.

Entities:  

Mesh:

Year:  2018        PMID: 29883469      PMCID: PMC5993298          DOI: 10.1371/journal.pone.0198669

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Obesity, typically defined as BMI of ≥30 kg/m2, is an increasing public concern [1]. It is one of the top 10 risk factors of chronic diseases [2-4]. Nearly 300,000 Americans die from a range of diseases related to obesity each year, and the economic burden exceeds more than 5% of the national health expenditure [5, 6]. Consistently with the trend in the general population, the number of obese patients admitted to ICUs is rapidly rising [7]. Obesity has been associated with increasing mortality in critically ill patients [8-10]. A variety of factors contribute to the association between obesity and mortality, including a series of physiological changes that result in poor stresses related to acute inflammatory and immune responses, or in many comorbidities including diabetes, cardiovascular events, respiratory diseases and cancer [11]. However, “obesity paradox” (namely, lower mortality in obese subjects) has also been reported in ICU patients in other studies [12-13]. The relationship between obesity and mortality of ICU patients thus remain largely unclear[14]. In the current study, we conducted a systematic review and meta-analysis of published studies to investigate the relationship between BMI and ICU outcomes in patients received mechanical ventilation.

Materials and methods

Literature search and study selection

We conducted a comprehensive electronic search of MEDLINE, EMBASE, CBM and Cochrane Central Register of Controlled Trials databases (CENTRAL) from the earliest available date to July 2017. The search strategy is described in S1 Text. Two authors (Yonghua Zhao, Zhiqiang Li) manually searched the references listed in each identified article and other relevant articles to identify all eligible studies. The search was not restricted in publication type or languages.

Inclusion and exclusion criteria

For inclusion in data analysis, studies must meet all following criteria: 1) cohort studies in patients receiving mechanical ventilation in ICU; 2) patients across two or more BMI categories; 3) outcomes include all-cause mortality, including ICU mortality, long-term mortality, short-term mortality, hospital mortality, or duration of mechanical ventilation, hospital and ICU LOS. The exclusion criteria included: patients under 18 years of age, review articles, case reports or animal experiment.

Data extraction and outcomes

Data extraction was carried out as recommended by the Cochrane handbook, and included authors, year of publication, study design, participants, BMI categories, demographic characteristics, severity of illness, measurement of BMI. BMI was classified into 5 categories using the National Institutes of Health (NIH) criteria [15]: 1) underweight: BMI <18.5 kg/m2; 2) normal weight: BMI 18.5–24.9 kg/m2; 3) overweight: BMI 25–29.9 kg/m2; 4) obese: BMI 30–39.9 kg/m2; 5) severely obese: BMI ≥40 kg/m2. Both review of full texts and extraction of data were independently performed by two reviewers (Yonghua Zhao, Zhiqiang Li). Duplicate reports were discarded by screening titles and abstracts. Any disagreement between the two primary reviewers was resolved by discussion with the third party (Xiuming Xi).

Quality assessment

Risk of bias of individual studies at the outcome level was assessed using the Newcastle-Ottawa quality assessment scale: 4 for selection, 2 for comparability and 3 for outcome. Study quality was rated based on the score: 1 (very poor) to 9 (very high) (S1 Table).

Statistical analysis

Statistical analysis was performed using the Cochrane systematic review software Review Manager (RevMan; Version 5.3.5). Data analysis was performed using a random-effects model developed by DerSimonian and Laird [16]. Dichotomous variables are presented as odds ratio (OR) with 95% confidence intervals (CI). Continuous variables are presented as mean difference (MD) with 95% confidence intervals. Significant heterogeneity was defined as P < 0.1 in χ2 test and I2 > 50%. If the literature reported the median or range of continuous variables, we used the median as the mean and the method provided by the Cochrane handbook [17] to calculate the standard deviation, and carried out sensitivity analysis. Publication bias was assessed with a funnel plot when there were 10 or more eligible studies.

Results

The search identified a total of 15,729 articles. After screening the titles and abstracts and removal of duplicates, 23 articles (199, 421 subjects) were included in the meta-analysis (Fig 1).
Fig 1

Flow diagram of study selection process.

Study description

All eligible studies were approved by their corresponding institutional ethics committee. A total of 199,421 subjects participated in the 23 studies, which consisted of 14 prospective [8, 13, 18–29] and 9 retrospective cohort studies [9–12, 30–35]. Fourteen studies were from North America [9, 10, 12, 13, 19, 20, 21, 25, 27, 28, 30, 32–34], one from South America [31], five from Europe [8, 18, 22, 23, 24, 29], and two from Australia [26, 35]. In seven studies [8, 9, 18, 19, 22, 31, 32], BMIs was classified only into obese versus non-obese (Table 1). Five studies reported short-term mortality [20, 23, 26, 28, 30]. Four studies reported long-term mortality [14, 19, 26, 28].
Table 1

Study characteristics by body mass index category.

ReferencesCountryStudy designStudy periodICU typeBMI categories(kg/m2)Sample sizeAgeMale%Severity of illness
Mean ± SD or median
Mean ± SD or median
Wardell S[19]CanadaProspectiveJan 2008 to Mar 2009Mixed ICUAPACHE II
Nonobese: < 30.020251.8(18.9)34.720.8(8.5)
Obese: ≥ 30.014657.7(16.4)42.523.5(8.1)
Lee CK[30]USARetrospectiveJan to Dec 2009Medical ICUAPACHE II
Nonobese: < 30.030663.0(16.5)48.424.7(8.1)
obese: ≥ 30.08559.6(16.2)59.623.4(8.0)
severely obese: > 35.0113NRNRNR
O'Brien JM[13]USAProspectiveFeb 2006 to Jan 2008Medical ICUNR
Normal: < 25.021358.3(17.1)56.8
Overweight: 25.0 to 30.012957.2(15.5)54.3
Obese: ≥ 30.023856.2(13.8)52.9
Martino JL[20]33 countriesProspective2007 to 2009ICU`APACHE II
Normal:18.5 to 24.9349058.6(18.9)6122.2(8.0)
Overweight:25 to 29.9260460.2(17.4)66.422.4(8.1)
Obese: 30 to 39.9177260.8(15.2)57.722.9(8.0)
Extremely obese: ≥ 40.0524NR44.8NR
Anzueto A[21]USAProspectiveApr 2004ICUSAPS II
Underweight: < 18.518455(19)54.443(19)
Normal: 18.5 to 24.9199557(19)58.843(18)
Overweight: 25.0 to 29.9178161(17)67.143(17)
Obese: 30 to 39.979261(14)5544(17)
Severely obese: > 40.021655(14)45.942(17)
Diaz E[22]SpainProspectiveJan 2010ICUAPACHE II
Nonobese:< 30.026543(15.4)59.613.3(7.4)
Obese: ≥ 30.015043.9(12.3)55.313.5(6.5)
Moock M[31]BrazilRetrospectiveApr 2005 to Nov 2008ICUAPACHE II
Nonobese:< 30.014649.1 (57.5–69.6)728 (12–16)
Obese: ≥ 30.07349.7 (59.4–69.7)338 (16–20)
Morris AE[25]USAProspectiveApr 1999 to Jul 2000ICUAPACHE II
Underweight : < 18.55064.7(18.4)5682.3(31.5)
Normal: 18.5 to 24.930161.5(18.1)64.874.9(29.2)
Overweight: 25.0 to 34.923758.9(17.4)66.274.9(30.0)
Obese : 35.0 to 39.918357.0(15.9)63.470.3(29.8)
Severely obese: ≥ 40.05454.7(13.9)48.175.0(35.1)
Peake SL[26]AustraliaProspective2001ICUAPACHE II
Underweight : < 18.52462.0(16.5)58.320.8(8.0)
Normal: 18.5 to 24.912961.3(20.4)60.519.9(7.9)
Overweight: 25.0 to 29.915164.1(16.1)58.319.9(7.9)
Obese : 30.0 to 34.97562.9(14.4)57.319.9(8.7)
Severely obese: ≥ 35.05461.0(15.7)5019.4(8.0)
Brown CVR[9]USARetrospective1998 to 2003ICUISS
Nonobese:< 30.087045(20)7121(12)
Obese: ≥ 30.028346(18)7021(13)
Ray DE[27]USAProspectiveJan 1997 to Aug 2001Medical ICUAPACHE II
Underweight: < 20.035062.2(20.2)47.418.2(8.3)
Normal:20.0 to 24.966365.2(18.6)54.618.4(8.9)
Overweight:25.0 to 29.958564.8(16.3)5418.3(9.3)
Obese:30 to 39.939661.7(16.7)46.217.0(8.7)
Severely obese: ≥ 40.015457.4(16.0)34.418.2(9.0)
Goulenok C[8]FranceProspectiveJan 1999 to Jan 2000Medical ICUAPACHE II
Nonobese: < 27.059848 (34–65)4132 (19–48)
Obese: ≥ 27.021558 (47–71)4236 (27–56)
El-Solh A [10]USAretrospectiveJanuary 1994 to June 2000Medical and surgical ICUAPACHE II
nonobese: < 30.013246.2(21.7)55.320.6(12.2)
Morbidly obese: ≥ 40.011744.4(18.2)43.5919.1(7.6)
Frat J[24]FranceProspectiveSep 2002 to Jun 2004ICUSAPS II
Nonobese: < 30.012465(11)64.5245(14)
Severely obese: ≥ 35.08264(11)59.7645(16)
Alberda C[23]37 countriesProspectiveJan 2007ICUAPACHE II
Underweight: < 20.028958.7(19.0)50.922.04(7.71)
Normal: 20.0 to 25.093758.3(19.0)59.821.40(8.15)
Overweight: 25 to 30.081860.0(17.8)65.621.43(7.96)
Obese: 30.0 to 35.039562.2(15.3)57.522.41(7.40)
Severely obese: 35.0 to 40.016262.3(13.7)50.621.62(8.36)
Morbidly obese: ≥ 40.017156.9(13.3)4522.21(8.53)
Duane TM[32]USARetrospectiveJan 2004 to Dec 2005ICUNonobese: < 30.051NRNRNR
Obese: > 30.010
O'Brien JM Jr[33]USARetrospectiveDec 1995 to Sep 2001ICUNR
Underweight: < 18.58862.4(16.2)46.6
Normal: 18.5 to 24.954461.0(17.8)56.4
Overweight: 25.0 to 29.939959.4(16.7)55.9
Obese : 30.0 to 39.932658.0(16.3)46.6
severely obese: ≥ 40.013153.6(14.9)33.6
Tafelski S[18]GermanyProspectiveAug 2009 to Apr 2010Surgical ICUSAPS II
Nonobese: < 30.045163 (50–72)5736 (24–48)
Obese: ≥ 30.013064 (53–72)5335 (25–53)
Dennis, DM[35]AustraliaRetrospectiveNov 2012 to Jun 2014ICUAPACHE II
Underweight : < 18.51856(39)NR19(12.0)
Normal: 18.5 to 24.920057(24)18(10.0)
Overweight: 25.0 to 29.924955(25)18(10.0)
Obese : 30.0 to 39.921660(19)18(9.0)
severely obese: ≥ 40.05260(15)19(9.5)
Lewis O[34]USARetrospective2012Medical ICUmortality prediction model II
Underweight : < 18.56159.62(18.73)62.337.19(27.80)
Normal: 18.5 to 24.920658.06(16.08)59.2239.61(28.54)
Overweight: 25.0 to 29.912758.57(16.74)49.6136.28(28.76)
Obese(class1) : 30.0 to 34.99059.48(15.72)41.1133.04(27.7)
Obese(class2): 35 to 39.95759.07(16.51)28.0738.21(29359)
severely obese: ≥ 40.06454.64(17.41)29.6934.09(27.63)
Trivedi V[12]USARetrospectiveJan 2010 to May 2011Medical ICUAPACHE Ⅱ
Underweight : < 18.54161.8(18.2)56.120.3(9.7)
Normal: 18.5 to 24.925961.3(19.8)59.118.7(8.3)
Overweight: 25.0 to 29.919460.4(17.3)59.318.0(8.9)
Obese : 30.0 to 39.920561.3(15.3)44.918.7(9.6)
severely obese: ≥ 40.059NRNRNR
Pickkers P[29]DutchProspectiveJanuary 1,1999, to January 1,2010ICUSAPS II
Underweight : < 18.5534360.0 (46–74)38.636.4(19.6)
Normal: 18.5 to 24.97488365.0 (50–75)58.635.1 (19.2)
Overweight: 25.0 to 29.95214167.0 (55–75)62.535.7(19.4)
Obese(class1) : 30.0 to 34.91466065.0 (54–74)53.134.7(19.1)
Obese(class2): 35 to 39.9433962.0(51–71)42.434.6(19.9)
severely obese: ≥ 40.0299257.0 (45–67)34.631.6(20.8)
Abhyankar S[28]USAProspectivefrom 2001 to 2008Mixed ICUSAPS
Underweight : < 18.578670.6(53.0–81.8)56.412.3 (5.3)
Normal: 18.5 to 24.9546369.4(51.7–80.4)45.212.2 (5.4)
Overweight: 25.0 to 29.9527667.2(53.6–77.8)3612.0 (5.3)
Obese: ≥ 30.0528762.3(51.7–3.2)44.612.0 (5.3)

BMI body mass index; ICU intensive care unit; NR no report; SAPSⅡ simplified acute physiology score II; APS acute physiology score; APACHEⅡ Acute Physiology and Chronic Health Evaluation II; ISS Injury Severity Score.

BMI body mass index; ICU intensive care unit; NR no report; SAPSⅡ simplified acute physiology score II; APS acute physiology score; APACHEⅡ Acute Physiology and Chronic Health Evaluation II; ISS Injury Severity Score.

Publication bias

Since there were more than ten studies comparing the obese patients, it was possible to assess for publication bias, Funnel plot did not reveal significant publication bias on duration of mechanical ventilation (S1A Fig), ICU and hospital LOS (S1B and S1C Fig).

Mortality

In comparison to non-obese subjects, obese patients had lower ICU mortality (OR 0.88, 95% CI 0.84–0.92, Z = 6.22, P<0.00001 I2 = 0%), hospital mortality (OR 0.83, 95% CI 0.74–0.93, Z = 3.11, P<0.002, I2 = 52%), short-term mortality (OR 0.81, 95% CI 0.74–0.88, Z = 5.00, P<0.00001, I2 = 0%), as well as long-term mortality (OR 0.69, 95% CI 0.60–0.79, Z = 5.41, P<0.00001, I2 = 0%, Fig 2). In comparison to subjects with normal BMI, The results are as follows: obese patients had lower ICU mortality (OR 0.88, 95% CI 0.82–0.93, Z = 4.11, P<0.00001, I2 = 5%, Fig 3A), a trend for lower ICU morality (not statistically significant) was also observed in severely obese subjects (OR 0.82, 95% CI 0.66–1.00, Z = 1.92, P = 0.06, I2 = 35%, Fig 3A). Overweight and obese patients had lower long-term mortality (OR 0.66, 95% CI 0.57–0.77, Z = 5.38, P<0.00001, I2 = 0% and OR 0.63, 95% CI 0.46–0.86, Z = 2.88, P = 0.004, I2 = 56%, Fig 3B), only 1 of 23 studies reported long-term mortality in severely obese patients (lower than subjects with normal BMI) (Fig 3B). Obese and overweight patients had lower short-term mortality (OR 0.75, 95% CI 0.66–0.84, Z = 4.89, P<0.00001, I2 = 8% and OR 0.91, 95% CI 0.67–1.24, Z = 0.59, P = 0.55, I2 = 45%, Fig 3C). Obese and severely obese patients had lower hospital mortality (OR 0.80, 95% CI 0.73–0.89, Z = 4.22, P<0.0001, I2 = 30% and OR 0.71, 95% CI 0.53–0.94, Z = 2.40, P = 0.02, I2 = 74%, Fig 3D). In contrast, underweight subjects had higher mortality than normal BMI (ICU mortality in Fig 3A, long-term mortality in Fig 3B, short-term mortality in Fig 3C, hospital mortality in Fig 3D).
Fig 2

Obese and non-obese patients mortality.

Fig 3

Association of obesity and mortality in in mechanical ventilation patients in ICU.

(A) ICU mortality. (B) long-term mortality. (C) short-term mortality. (D) hospital mortality.

Association of obesity and mortality in in mechanical ventilation patients in ICU.

(A) ICU mortality. (B) long-term mortality. (C) short-term mortality. (D) hospital mortality.

Duration of mechanical ventilation

The mean duration of mechanical ventilation in the included studies ranged from 2.17 to 15.2 days in the obese subjects and 1.86 to 13.2 days in the non-obese subjects. In a sensitivity analysis that excluded the studies that did not report mean and standard deviation, the outcome did not significantly change. In comparison with non-obese subjects, the combined mean difference in duration of mechanical ventilation was longer by 0.48 days in obese patients (95% CI, 0.16–0.80, Z = 2.92, P = 0.003, I2 = 37%, S2A Fig). In comparison to the subjects with the normal BMI, severely obese patients had significantly longer duration on mechanical ventilation (MD 1.10, 95% CI 0.38–1.83, Z = 2.99, P = 0.003, I2 = 47%, S2B Fig). No significant differences were found between the normal BMI and underweight subjects (MD -0.26, 95% CI -0.89 to 0.38, Z = 0.79, P = 0.43, I2 = 11%, S2B Fig), overweight (MD 0.18, 95% CI -0.33 to 0.70, Z = 0.70, P = 0.48 I2 = 62%, S2B Fig) or obese patients (MD 0.23, 95% CI -0.03 to 0.48, Z = 1.75, P = 0.08, I2 = 0%, S2B Fig).

ICU and hospital LOS

Non-obese patients had shorter ICU LOS than obese patients (MD 0.38, 95% CI 0.17–0.59, Z = 3.58, P = 0.0003, I2 = 70%, S2C Fig). A sensitivity analysis that excluded studies that did not report mean and standard deviation did not change these findings. In comparison to subjects with normal BMI, no significant differences in ICU LOS were found in underweight (MD -0.31, 95% CI -1.22 to 0.60, Z = 0.67, P = 0.50, I2 = 0%, S2D Fig), obese (MD 0.25, 95% CI -0.02 to 0.52, Z = 1.84, P = 0.07 I2 = 85%, S2D Fig), overweight (MD 0.09, 95% CI -0.04 to 0.21, Z = 1.37, P = 0.17, I2 = 48%, S2D Fig) and severely obese patients (MD 0.72, 95% CI -0.07 to 1.52, Z = 1.78, P = 0.08, I2 = 61%, S2D Fig). Hospital LOS did not differ between obese and non-obese patients (MD -0.06, 95% CI -0.52 0.63, Z = 0.19, P = 0.85, I2 = 80%, S2E Fig). A sensitivity analysis eliminating the studies that did not report mean and standard deviation did not change the findings. Hospital LOS did not differ among different BMI categories (S2F Fig).

Discussion

Obesity is a risk factor of death in the general population [36]. The current meta-analysis showed that, in comparison to subjects with normal BMI, obese ICU patients receiving mechanical ventilation had lower measures of mortality rate (ICU, hospital, short-term as well as long-term). Several factors may have attributed to the “obesity paradox” in this population. First, adipose tissue is considered to be an ancestral immune organ [37], and could secrete leptin, adiponectin and many other biological response modifiers [38]. Leptin is a critical component of the host defense in the lungs [39]. Adiponectin produces anti-inflammatory effects through acting on inflammatory cells, NF-κB, and TNF-α, and could regulate inflammatory response, improve glucose tolerance and reduced vasopressor requirement in obese patients [40]. A recent study found that obese patients have lower levels of proinflammatory cytokines (IL-6, IL-8) and surfactant protein D, The lack of reduced mortality related to obesity might be due to low grade inflammatory response [41]. Second, both animal and human studies showed that adipocytes are infiltrated by activated macrophages under critical illnesses[41, 42]; these macrophages have important immune and scavenger functions, and produce an anti-inflammatory response. Third, obese patients have higher energy reservoir to counteract the influence by increased catabolic stress of disease [43]. Lastly, obese patients might have a lower threshold for ICU admission due to heightened perception of by doctors and nurses [20]. In the current study, underweight subjects had higher hospital mortality than those with normal BMI. Contributing factors may include insufficient energy stores to maintain organ function during times of critical illness and weak immune response to challenges due to poor nutritional status. A previous prospective study suggested low BMI as a potential marker for the underlying chronic diseases, such as cancer [44]. However, the increased risk of mortality reported in patients with a low BMI could also reflect illness-related weight loss or other serious illnesses before hospitalization [45]. Consistent with a previous study [46], duration on mechanical ventilation was longer in obese patients than in non-obese patients in the current study. Several reasons might have contributed to this finding. First, obese patients have decreased lung and chest wall compliance, and are more susceptible to atelectasis or increased alveolar tension [47]. Obese patients also tend to have ventilation flow imbalance, and lower functional residual and lung volume [48]. Second, obese patients consume more oxygen and produce more carbon dioxide production [49,50], and thus have increased respiratory work. Abdominal visceral fat accumulation could also increase abdominal pressure and thus increased respiratory work [51,52]. which were easy to cause respiratory muscle fatigue and difficult weaning. Third, clinicians often overestimate lung size for obese patients, and tend to use higher tidal volumes, thus placing patients on risk to develop ventilator-associated lung injury [21]. We also found significantly longer ICU LOS in obese patients than in non-obese patients. This could have been due to prolonged duration of mechanical ventilation in ICU, or higher rate of ICU complications, especially sepsis and pneumonia [14]. Also, nursing is particularly difficult in obese patients, and could lead to increased risks of skin laceration and other complications [53]. The current study has several limitations. First, assessment of BMI in the included studies could have been biased by resuscitation fluids given prior to ICU admission. Also, the height and weight of patients admitted into ICU typically estimated by physician rather than actually measured. Second, statistical heterogeneity in our analysis showed that the differences in outcomes might be explained by other characteristics not BMI, especially for length of stay (LOS) in hospital. Third, many confounding factors, including age, sex, and complications, could not be accurately extracted from the original studies. It must be emphasized that the results from the current study are based on ICU patients receiving mechanical ventilation. Similar results also occurred in obesity patients in ICU, Hogue [54] reported that obesity in ICU was associated with lower hospital mortality, but not associated with increased risk for ICU mortality. Extrapolation into other population must be cautious. Previous studies by Calle in the US [55] and Faeh in Switzerland [56] showed that obesity is associated with excess risk of mortality in adults, mainly due to complications, such as cardiovascular diseases and cancer. The existence of “obesity paradox” remains debated, and further studies are needed to determine whether adding BMI would decrease risk of mortality.

Conclusion

In summary, compared to subjects with normal BMI, obese ICU subjects receiving mechanical ventilation had lower ICU and hospital mortality. There were also some evidence for lower short or long-term mortality. Obese patients had longer duration of mechanical ventilation and ICU LOS than non-obese patients.

MEDLINE search strategy.

(PDF) Click here for additional data file.

Funnel plots.

(A) duration of mechanical ventilation.(B) ICU length of stay. (C) hospital length of stay. (PDF) Click here for additional data file.

Figures of duration of mechanical ventilation, ICU LOS and hospital LOS.

(A) duration of mechanical ventilation in the obese vs non-obese patients.(B) duration of mechanical ventilation of different BMI classification.(C) ICU LOS of obese vs non-obese patients.(D) ICU LOS of different BMI classification.(E) hospital LOS of obese vs non-obese patients.(F) hospital LOS of different BMI classification. (PDF) Click here for additional data file.

Quality assessment scale of included articles.

(PDF) Click here for additional data file.

PRISMA checklist.

(PDF) Click here for additional data file.
  55 in total

1.  Body mass index. An additional prognostic factor in ICU patients.

Authors:  Maité Garrouste-Orgeas; Gilles Troché; Elie Azoulay; Antoine Caubel; Arnaud de Lassence; Christine Cheval; Laurent Montesino; Marie Thuong; François Vincent; Yves Cohen; Jean-François Timsit
Journal:  Intensive Care Med       Date:  2004-02-06       Impact factor: 17.440

2.  Body mass index and risk of cardiovascular disease, cancer and all-cause mortality.

Authors:  Peter T Katzmarzyk; Bruce A Reeder; Susan Elliott; Michel R Joffres; Punam Pahwa; Kim D Raine; Susan A Kirkland; Gilles Paradis
Journal:  Can J Public Health       Date:  2012 Mar-Apr

3.  Obesity but not overweight is associated with increased mortality risk.

Authors:  David Faeh; Julia Braun; Silvan Tarnutzer; Matthias Bopp
Journal:  Eur J Epidemiol       Date:  2011-06-17       Impact factor: 8.082

4.  Influence of body mass index on outcome of the mechanically ventilated patients.

Authors:  A Anzueto; F Frutos-Vivar; A Esteban; N Bensalami; D Marks; K Raymondos; C Apezteguía; Y Arabi; J Hurtado; M González; V Tomicic; F Abroug; J Elizalde; N Cakar; P Pelosi; N D Ferguson
Journal:  Thorax       Date:  2010-10-27       Impact factor: 9.139

5.  The association between body mass index and clinical outcomes in acute lung injury.

Authors:  Amy E Morris; Renee D Stapleton; Gordon D Rubenfeld; Leonard D Hudson; Ellen Caldwell; Kenneth P Steinberg
Journal:  Chest       Date:  2007-02       Impact factor: 9.410

6.  Influence of overweight on ICU mortality: a prospective study.

Authors:  Cyril Goulenok; Mehran Monchi; Jean-Daniel Chiche; Jean-Paul Mira; Jean-François Dhainaut; Alain Cariou
Journal:  Chest       Date:  2004-04       Impact factor: 9.410

Review 7.  The impact of obesity on outcomes after critical illness: a meta-analysis.

Authors:  Charles W Hogue; Joshua D Stearns; Elizabeth Colantuoni; Karen A Robinson; Tracey Stierer; Nanhi Mitter; Peter J Pronovost; Dale M Needham
Journal:  Intensive Care Med       Date:  2009-02-03       Impact factor: 17.440

8.  Impact of obesity in mechanically ventilated patients: a prospective study.

Authors:  Jean-Pierre Frat; Valérie Gissot; Stéphanie Ragot; Arnaud Desachy; Isabelle Runge; Christine Lebert; René Robert
Journal:  Intensive Care Med       Date:  2008-08-01       Impact factor: 17.440

Review 9.  Clinical review: adiponectin biology and its role in inflammation and critical illness.

Authors:  Katherine Robinson; John Prins; Bala Venkatesh
Journal:  Crit Care       Date:  2011-04-20       Impact factor: 9.097

10.  "Obesity Paradox" in Acute Respiratory Distress Syndrome: Asystematic Review and Meta-Analysis.

Authors:  Guo Zhi; Wang Xin; Wang Ying; Xing Guohong; Liu Shuying
Journal:  PLoS One       Date:  2016-09-29       Impact factor: 3.240

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  20 in total

Review 1.  Obesity and the Survival of Critically Ill Patients with Acute Kidney Injury: A Paradox within the Paradox?

Authors:  Helmut Schiffl
Journal:  Kidney Dis (Basel)       Date:  2019-10-08

2.  Association of Obesity With COVID-19 Severity and Mortality: An Updated Systemic Review, Meta-Analysis, and Meta-Regression.

Authors:  Romil Singh; Sawai Singh Rathore; Hira Khan; Smruti Karale; Yogesh Chawla; Kinza Iqbal; Abhishek Bhurwal; Aysun Tekin; Nirpeksh Jain; Ishita Mehra; Sohini Anand; Sanjana Reddy; Nikhil Sharma; Guneet Singh Sidhu; Anastasios Panagopoulos; Vishwanath Pattan; Rahul Kashyap; Vikas Bansal
Journal:  Front Endocrinol (Lausanne)       Date:  2022-06-03       Impact factor: 6.055

3.  Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validation.

Authors:  Behrooz Mamandipoor; Fernando Frutos-Vivar; Oscar Peñuelas; Richard Rezar; Konstantinos Raymondos; Alfonso Muriel; Bin Du; Arnaud W Thille; Fernando Ríos; Marco González; Lorenzo Del-Sorbo; Maria Del Carmen Marín; Bruno Valle Pinheiro; Marco Antonio Soares; Nicolas Nin; Salvatore M Maggiore; Andrew Bersten; Malte Kelm; Raphael Romano Bruno; Pravin Amin; Nahit Cakar; Gee Young Suh; Fekri Abroug; Manuel Jibaja; Dimitros Matamis; Amine Ali Zeggwagh; Yuda Sutherasan; Antonio Anzueto; Bernhard Wernly; Andrés Esteban; Christian Jung; Venet Osmani
Journal:  BMC Med Inform Decis Mak       Date:  2021-05-07       Impact factor: 2.796

4.  Extracellular vesicle therapeutics from plasma and adipose tissue.

Authors:  Dalila Iannotta; Man Yang; Christian Celia; Luisa Di Marzio; Joy Wolfram
Journal:  Nano Today       Date:  2021-04-27       Impact factor: 18.962

5.  Adherence to the Mediterranean Lifestyle and Desired Body Weight Loss in a Mediterranean Adult Population with Overweight: A PREDIMED-Plus Study.

Authors:  Cristina Bouzas; Maria Del Mar Bibiloni; Alicia Julibert; Miguel Ruiz-Canela; Jordi Salas-Salvadó; Dolores Corella; Maria Dolors Zomeño; Dora Romaguera; Jesús Vioque; Ángel M Alonso-Gómez; Julia Wärnberg; J Alfredo Martínez; Luís Serra-Majem; Ramon Estruch; Francisco J Tinahones; José Lapetra; Xavier Pintó; Antonio García Ríos; Aurora Bueno-Cavanillas; José J Gaforio; Pilar Matía-Martín; Lidia Daimiel; Vicente Martín-Sánchez; Josep Vidal; Clotilde Vázquez; Emilio Ros; Cesar Ignacio Fernandez-Lázaro; Nerea Becerra-Tomás; Ignacio Manuel Gimenez-Alba; Julia Muñoz; Marga Morey; Alejandro Oncina-Canovas; Lucas Tojal-Sierra; Jéssica Pérez-López; Itziar Abete; Tamara Casañas-Quintana; Sara Castro-Barquero; M Rosa Bernal-López; José Manuel Santos-Lozano; Ana Galera; Escarlata Angullo-Martinez; F Javier Basterra-Gortari; Josep Basora; Carmen Saiz; Olga Castañer; Marian Martín; Leyre Notario-Barandiarán; María C Belló-Mora; Carmen Sayón-Orea; Jesús García-Gavilán; Albert Goday; Josep A Tur
Journal:  Nutrients       Date:  2020-07-16       Impact factor: 5.717

6.  Adipose-derived exosomes protect the pulmonary endothelial barrier in ventilator-induced lung injury by inhibiting the TRPV4/Ca2+ signaling pathway.

Authors:  Qian Yu; Daoxin Wang; Xiaoting Wen; Xumao Tang; Di Qi; Jing He; Yan Zhao; Wang Deng; Tao Zhu
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2020-02-19       Impact factor: 5.464

7.  Favorable 90-Day Mortality in Obese Caucasian Patients with Septic Shock According to the Sepsis-3 Definition.

Authors:  Caspar Mewes; Carolin Böhnke; Tessa Alexander; Benedikt Büttner; José Hinz; Aron-Frederik Popov; Michael Ghadimi; Tim Beißbarth; Dirk Raddatz; Konrad Meissner; Michael Quintel; Ingo Bergmann; Ashham Mansur
Journal:  J Clin Med       Date:  2019-12-24       Impact factor: 4.241

8.  Should We Perform Old-for-Old Kidney Transplantation during the COVID-19 Pandemic? The Risk for Post-Operative Intensive Stay.

Authors:  Philip Zeuschner; Urban Sester; Michael Stöckle; Matthias Saar; Ilias Zompolas; Nasrin El-Bandar; Lutz Liefeldt; Klemens Budde; Robert Öllinger; Paul Ritschl; Thorsten Schlomm; Janine Mihm; Frank Friedersdorff
Journal:  J Clin Med       Date:  2020-06-12       Impact factor: 4.241

9.  Waist-Stature Ratio And Its Relationship With Autonomic Recovery From Aerobic Exercise In Healthy Men.

Authors:  Anne Michelli G G Fontes; Letícia S de Oliveira; Franciele M Vanderlei; David M Garner; Vitor E Valenti
Journal:  Sci Rep       Date:  2018-10-31       Impact factor: 4.379

10.  Postoperative Complications in Obese Patients After Tracheostomy.

Authors:  Shelby C Barrera; Evan J Sanford; Sarah B Ammerman; Jay K Ferrell; C Blake Simpson; Laura M Dominguez
Journal:  OTO Open       Date:  2020-08-26
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