Literature DB >> 32452889

Implications of Obesity for the Management of Severe Coronavirus Disease 2019 Pneumonia.

Malcolm Lemyze1, Nathan Courageux1, Thomas Maladobry1, Clothilde Arumadura1, Philippe Pauquet1, Annis Orfi1, Matthieu Komorowski2, Jihad Mallat3, Maxime Granier1.   

Abstract

OBJECTIVES: To investigate patients' characteristics, management, and outcomes in the critically ill population admitted to the ICU for severe acute respiratory syndrome coronavirus disease 2019 pneumonia causing an acute respiratory distress syndrome.
DESIGN: Retrospective case-control study.
SETTING: A 34-bed ICU of a tertiary hospital. PATIENTS: The first 44 coronavirus disease 2019 acute respiratory distress syndrome patients were compared with a historical control group of 39 consecutive acute respiratory distress syndrome patients admitted to the ICU just before the coronavirus disease 2019 crisis.
INTERVENTIONS: None.
MEASUREMENTS AND MAIN RESULTS: Obesity was the most frequent comorbidity exhibited by coronavirus disease 2019 patients (n = 32, 73% vs n = 11, 28% in controls; p < 0.001). Despite the same severity of illness and level of hypoxemia at admission, coronavirus disease 2019 patients failed more high flow oxygen via nasal cannula challenges (n = 16, 100% vs n = 5, 45% in controls; p = 0.002), were more often intubated (n = 44, 100% vs n = 22, 56% in controls; p < 0.001) and paralyzed (n = 34, 77% vs n = 3, 14% in controls; p < 0.001), required higher level of positive end-expiratory pressure (15 vs 8 cm H2O in controls; p < 0.001), more prone positioning (n = 33, 75% vs n = 6, 27% in controls; p < 0.001), more dialysis (n = 16, 36% vs n = 3, 8% in controls; p = 0.003), more hemodynamic support by vasopressors (n = 36, 82% vs n = 22, 56% in controls; p = 0.001), and had more often a prolonged weaning from mechanical ventilation (n = 28, 64% vs n = 10, 26% in controls; p < 0.01) resulting in a more frequent resort to tracheostomy (n = 18, 40.9% vs n = 2, 9% in controls; p = 0.01). However, an intensive management requiring more staff per patient for positioning coronavirus disease 2019 subjects (6 [5-7] vs 5 [4-5] in controls; p < 0.001) yielded the same ICU survival rate in the two groups (n = 34, 77% vs n = 29, 74% in controls; p = 0.23).
CONCLUSIONS: In its most severe form, coronavirus disease 2019 pneumonia striked preferentially the vulnerable obese population, evolved toward a multiple organ failure, required prolonged mechanical ventilatory support, and resulted in a high workload for the caregivers.

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Mesh:

Year:  2020        PMID: 32452889      PMCID: PMC7255399          DOI: 10.1097/CCM.0000000000004455

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   9.296


The world has recently been facing a rapidly spreading infectious epidemic, first appearing in China in December 2019, due to a new coronavirus called the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The high contagiousness of this coronavirus disease 2019 (COVID-19) caused a massive influx of patients to hospitals with severe forms of lower respiratory tract infections. Most ICUs in Europe and United States have now been overwhelmed by a surge of critically ill patients exhibiting a life-threatening form of COVID-19 induced acute respiratory distress syndrome (COVID-19 ARDS) (1). Most of the published data currently available originated from the first Chinese cluster of the epidemic. In a Chinese population of 1590 patients, Guan et al (2) showed that patients’ comorbidities worsen the prognosis with a higher chance to need mechanical ventilation and to die in those having two or more comorbidities compared with healthier groups. However, only 8.2% of their population reported having two or more comorbidities, which may not mirror the critically ill population commonly seen in Europe or the United States, in particular with regards to prevalence of obesity (3–6). Here, we report on our experience from our first 44 cases of COVID-19 critically ill patients and analyze the link between obesity and this new form of ARDS caused by the SARS-CoV-2 with its potential implications for patients’ management.

MATERIALS AND METHODS

This retrospective observational single-center study was declared to the Commission Nationale de l’Informatique et des Libertés, the national commission of computer science and liberty. As the data were collected in an anonymized protected electronic file, ethical review was waived.

Inclusion Criteria

We included the first consecutive 44 cases of COVID-19 ARDS admitted to our adult ICU. They were compared with a historical control group made of the last 39 cases of non-COVID-19 ARDS admitted in the 5 months period preceding this COVID-19 crisis. Because of the rapidly growing number of critically ill candidates for the ICU, our hospital increased its capacity from 10 to 34 ICU beds, all dedicated to COVID-19 ARDS patients. The diagnosis of ARDS was based on the Berlin definition of the syndrome (7). The underlying cause of ARDS was identified after a thorough medical investigation, combining clinical examination, laboratory tests, multiple samples for viral and bacterial analyses, and imaging with chest radiograph and/or chest CT scan. The diagnosis of COVID-19 ARDS was confirmed when a patient met the ARDS criteria and had either a positive COVID-19 virus test by real-time polymerase chain reaction on an upper and/or lower respiratory tract sample or a typical clinical presentation associated with characteristic imaging features on CT scan (8, 9). The latter include bilateral septal lines and diffuse ground-glass opacities predominantly located in the subpleural spaces, consolidations, and the vacuole sign (9, 10). Obesity was defined according to the World Health Organization (WHO) classification (11) as a body mass index (BMI) exceeding 30 kg/m2, while stage 2 (severe) obesity referring to BMI greater than 35 kg/m2 and stage 3 (morbid) obesity corresponding to BMI greater than 40 kg/m2.

Patients’ Management

According to our local guidelines and experts recommendations (8, 12), patients admitted in the ICU for severe type 1 (hypoxemic) acute respiratory failure were initially managed using high flow oxygen via nasal cannula (HFO2NC) with the highest flow tolerated (usually at 50 L/min) and the minimal Fio2 required to achieve arterial oxygen saturation (Sao2) greater than 92%. Given the high risk of thromboembolic complications described in the COVID-19 disease (13), all the patients of the COVID-19 group were treated by heparin anticoagulation at therapeutic doses, after the first blood sample was taken, and for the entire duration of the ICU stay. Severe cases with respiratory distress and Pao2/Fio2 less than 150 and Fio2 greater than 60% were considered early for intubation since COVID-19 ARDS patients are known to worsen very quickly (8). Once intubated, patients were deeply sedated, and connected to a double branch circuit ICU ventilator on a flow delivered assist control mode with a low tidal volume (6 mL/kgideal body weight) protective mechanical ventilation strategy (12). Those with persistent severe hypoxemia (Pao2/Fio2 < 150) after a recruitment maneuver were paralyzed (14) and put in prone position for at least 16 hours (15). External positive end-expiratory pressure (PEEP) was set according to a decremental PEEP trial after a recruitment maneuver, to obtain the best compromise between oxygenation (as assessed by the best Sao2 obtained at a certain level of Fio2), respiratory mechanics (the lowest driving pressure as possible), and hemodynamics (the best mean arterial pressure or cardiac output) as proposed in morbidly obese patients with non-COVID-19 ARDS (16). As recommended, neuromuscular blocking agents (NMBAs) were stopped and sedation was withdrawn as soon as possible. A protocol-driven weaning strategy based on spontaneous breathing trial on T-tube for 30 minutes was systematically used to shorten the weaning process from mechanical ventilation. Obese patients received positive pressure noninvasive ventilation (NIV) immediately after extubation. A tracheostomy was considered in those unweanable from invasive mechanical ventilation beyond the 7th day after intubation, especially when sedation could not be discontinued because of major discomfort, anxiety, and dyspnea promoted by the endotracheal tube. Prolonged weaning referred to an impossible discontinuation of invasive mechanical ventilation 7 days after the first separation attempt from the ventilator (17).

Data Collection

We recorded anthropometric data, cause of ARDS, Charlson Comorbidity Index (18), Clinical Frailty Scale (19), severity at admission as assessed by the Simplified Acute Physiology Score (SAPS) II (20), and the Sepsis-related Organ Failure Assessment score (21), ventilator settings and measurements including plateau pressure (Pplat), total PEEP, driving pressure (difference between Pplat and total PEEP). We also collected the resort to prone position, tracheostomy, and the use of vasopressors, NMBAs, renal replacement therapy. The number of prone position sessions per patient and the number of staff per patient needed to perform prone positioning were also included in the analyses.

Statistical Analysis

The normality of data distribution was assessed using the Shapiro-Wilk test and by visually checking the distribution (histogram) of each variable. Data were expressed as mean ± sd when they were normally distributed and as median and interquartile range (25–75%) when they were non-normally distributed. Proportions were used as descriptive statistics for categorical variables. Comparisons of values between groups were performed using a two-tailed Student t test or Mann-Whitney U test, as appropriate. Pairwise comparisons between admission and prone position were assessed using a paired Student t test or Wilcoxon test, as appropriate. Analyses of discrete data were performed using the chi-square test or Fisher exact test when the numbers were small. Statistical analyses were performed using IBM SPSS Statistics for Windows (Version 20.0; IBM Corp., Armonk, NY). p value of less than 0.05 was considered statistically significant. All reported p values were two-sided.

RESULTS

The main clinical characteristics of the patients at admission are shown in Table . Laboratory data at admission in the ICU are exposed in Table . Despite a high prevalence of obesity in our non-COVID-19 control group, we found a significantly higher proportion of obese patients in the COVID-19 ARDS population compared with controls (n = 32, 72% vs n = 11, 28%; p < 0.001). Sixteen percent of the COVID-19 patients exhibited severe obesity (BMI > 35 kg/m2) and the same number of patients (n = 7, 16%) had morbid obesity (BMI > 40 kg/m2). Patients Characteristics at Admission Laboratory Data at Admission Although the severity of illness according to SAPS II score (40 vs 48 in controls; p = 0.27) and Pao2/Fio2 ratio (121 vs 133 mm Hg in controls; p = 0.20) were similar at admission, COVID-19 patients were intubated more often than controls (n = 44, 100% vs n = 22, 56% in controls; p < 0.001). HFO2NC was attempted in the same proportion of patients in the two groups (n = 16, 36% vs n = 11, 28%; p = 0.43) but it failed more frequently to improve gas exchange in COVID-19 patients (n = 16, 100% vs n = 5, 45% in controls; p < 0.001). COVID-19 patients were more rapidly intubated after an HFO2NC challenge than controls (1.5 d [1.0–2.0 d] vs 5.0 d [3.0–9.0 d]; p < 0.001). As shown in Table , the COVID-19 patients were more often paralyzed (n = 34, 77% vs n = 3, 14% in controls; p < 0.001) and put in prone position (n = 33, 75% vs n = 6, 27% in controls; p < 0.001), needed higher PEEP levels (15 vs 8 cm H2O in controls; p < 0.001) compared with controls. After 16 hours of prone positioning, their oxygenation drastically improved (Pao2/Fio2, 113 ± 36 vs 275 ± 84; p < 0.001) but the duration of mechanical ventilation was significantly higher than in the non-COVID-19 patients within the first 30 days of ICU stay (12.5 vs 6 d in controls; p = 0.007). Despite a similar number of patients in acute kidney injury at admission (n = 21, 48% vs n = 15, 39%; p = 0.39), more COVID-19 patients needed renal replacement therapy (n = 16, 36% vs n = 3, 8% in controls; p = 0.003) during their ICU stay. They also required more often an hemodynamic support by vasopressors (n = 36, 81% vs n = 22, 56% in controls; p = 0.012), and more were tracheostomized because of difficult weaning from mechanical ventilation (n = 18, 40.9% vs n = 2, 9%; p = 0.01), but eventually the 28-day mortality was similar in the two groups (n = 10, 22.7% vs n = 10, 25.6%; p = 0.57). Given the higher prevalence of severely obese individuals in the COVID-19 group, these patients required significantly more staff for positioning than the non-COVID-19 ARDS patients (6 [5-7] vs 5 [4-5] in controls; p < 0.001). Patients Management and Outcomes

DISCUSSION

Our study is the first investigation that demonstrates a link between a high prevalence of obesity among critically ill patients admitted for COVID-19 ARDS and a particularly severe clinical course of the disease with challenging situations for the ICU staff. This form of life-threatening COVID-19 pneumonia frequently caused multiple organ failure, was associated with a worst outcome than the usual non-COVID-19 ARDS, and required a higher staffing level. Several factors may explain why obese patients are more likely to develop a severe presentation of COVID-19-induced pneumonia. First of all, obese patients are especially at risk of more severe respiratory disease than lean subjects due to the pathophysiological consequences of obesity on the respiratory system and immunity (22). Obesity both alters pulmonary gas exchange and respiratory mechanics, especially in the supine position where the abdomen exerts an external compression on the thorax, resulting in an upward shift of the diaphragm (Fig. ). MacIntyre (23) described this phenomenon with the analogy of a bag-in-box respiratory system where the lungs (the bag) are trapped in a less distensible elastic structure (the chest wall and the abdomen), the box, that hinders the lungs in their expansion capacity. This causes expiratory flow limitation (24, 25) with extensive airway collapse in the dependent lung areas and creates gravitational atelectasis (26), a well-known source of ventilation-perfusion mismatch and severe hypoxemia (27). Interestingly, COVID-19 pneumonia has been described by Gattinoni et al (28) as an atypical ARDS with an apparent discrepancy between a preserved respiratory mechanics with good lung compliance contrasting with a severe alteration of the gas exchanger function of the lungs. The combination of the two factors—COVID-19 pneumonia and obesity—generates a life-threatening complex respiratory picture, challenging to manage. Another explanation for the susceptibility of obese patients to develop severe COVID-19 pneumonia is their impaired ability to respond to infectious agents, especially to viral pathogens. They exhibit a pro-inflammatory state at baseline and a delayed or blunted immune response, resulting in a higher spread of the virus with more damage to the lungs (29). Scout view (on the left) and two slices of chest CT scan acquired in the supine (middle) and prone positions (right) in a 37 yr old massively obese woman (149 kg/158 cm) after 7 d of mechanical ventilation for a severe coronavirus disease 2019 (COVID-19) acute respiratory distress syndrome. The images of the chest tube entering the pleural space (vertical arrows) ensure that the two slices are taken at the same level. Note the upward shift of the right hemidiaphragm (black asterisk) and the gravitational atelectasis of the left lower lobe in supine position. In prone position, the recruitment of the lung is impressive, revealing the pulmonary nodular infiltrates and fibrotic streaks (the horizontal arrows) of COVID-19 pneumonia. Our findings may have important implications for the management of COVID-19 ARDS patients. Indeed, managing severely obese individuals in ARDS should integrate some specific aspects. Given the potential of obese patients for extremely rapid desaturation (30), the resort to intubation should not be delayed and this intervention must be performed by highly trained intensivists or anesthesiologists using adequate preoxygenation with positive pressure NIV or HFO2NC (31, 32). Adequate protection of the caregivers during preoxygenation and intubation is paramount and includes negative pressure atmosphere and fitted respirator masks (8). A second implication would be to pay a special attention to correct positioning of the critically ill obese patient with COVID-19 ARDS. The ramp position or Head Elevated Laryngoscopy Position facilitates laryngoscopy while it improves pulmonary gas exchange at the same time (33). During mechanical ventilation of the obese subject, priority should be given to prone positioning (15, 34, 35) and sitting position (25) to counteract gravitational atelectasis and lung derecruitment (Fig. 1). For the same reasons, recruitment maneuvers and high PEEP settings are required to maintain a positive transpulmonary pressure and to prevent expiratory lung collapse (16), especially when a protective low tidal volume ventilation is applied (11). De Jong et al (34) have demonstrated the efficacy and feasibility of prone positioning in critically ill massively obese subjects providing that a higher number of caregivers (at least five per patient) is available. Early mobilization of the obese patient and transfer to a chair are an integral part of the weaning process from mechanical ventilation. In the obese patient, NIV is useful immediately after the endotracheal tube has been removed to prevent postextubation respiratory failure, alveolar hypoventilation, and obstructive sleep apnea syndrome (36). Special considerations need to be given to specific bariatric equipment and higher staffing levels, which are challenging in such dramatic epidemic situation and make obesity an additional source of stress for caregivers and healthcare systems (37). The skills and courage of the nursing team are severely tested in these situations at the bedside and should be commended during this worldwide COVID-19 crisis.
Figure 1.

Scout view (on the left) and two slices of chest CT scan acquired in the supine (middle) and prone positions (right) in a 37 yr old massively obese woman (149 kg/158 cm) after 7 d of mechanical ventilation for a severe coronavirus disease 2019 (COVID-19) acute respiratory distress syndrome. The images of the chest tube entering the pleural space (vertical arrows) ensure that the two slices are taken at the same level. Note the upward shift of the right hemidiaphragm (black asterisk) and the gravitational atelectasis of the left lower lobe in supine position. In prone position, the recruitment of the lung is impressive, revealing the pulmonary nodular infiltrates and fibrotic streaks (the horizontal arrows) of COVID-19 pneumonia.

Some limitations have to be acknowledged. Given the single-center study design, our results may be considered difficult to extrapolate to another population with a lower prevalence of obesity. However, obesity is a constantly growing epidemic worldwide with about 650 million obese individuals according to the WHO (9). The U.K. Intensive Care National Audit and Research Center reported on COVID-19 in critical care in the United Kingdom and also mentioned a high prevalence (38%) of obesity among 5,578 critically ill patients (5). The Centers for Disease Control and Prevention has also made the same observation in the United States with 48% of COVID-19 patients living with obesity (4). Our cohort may be considered as a small ARDS population, but the literature is seldom focused on a single relatively homogenous cause of ARDS. The COVID-19 crisis gave us the rare opportunity to study a specific form of ARDS caused by a single pathogen. Several methods can be used to set PEEP in ARDS patients in order to reopen the collapsed airways and to improve gas exchange and respiratory mechanics (38). We attempted to standardize our protective mechanical ventilation management of these critically ill obese patients by applying the same practical protocol-driven approach to all the COVID-19 ARDS patients. Because of the massive influx of obese patients, all our residents were trained at the bedside to recruit a critically ill patient under mechanical ventilation according to the method by Pirrone et al (16). In our experience, COVID-19 pneumonia appeared to strike preferentially the vulnerable obese population and the current collision of two worldwide pandemics—obesity and coronavirus—is undoubtedly putting healthcare systems into an unprecedented level of strain.

ACKNOWLEDGMENTS

We salute the whole nursing team of the ICU of the Arras Hospital for their bravery in this coronavirus disease 2019 crisis. We are proud to be part of this fantastic team!
TABLE 1.

Patients Characteristics at Admission

TABLE 2.

Laboratory Data at Admission

TABLE 3.

Patients Management and Outcomes

  37 in total

1.  Mechanical ventilation in the context of a "bag-in-box" respiratory system.

Authors:  Neil R MacIntyre
Journal:  Crit Care Med       Date:  2012-06       Impact factor: 7.598

2.  Prone positioning improves pulmonary function in obese patients during general anesthesia.

Authors:  P Pelosi; M Croci; E Calappi; D Mulazzi; M Cerisara; P Vercesi; P Vicardi; L Gattinoni
Journal:  Anesth Analg       Date:  1996-09       Impact factor: 5.108

3.  Morbid obesity and postoperative pulmonary atelectasis: an underestimated problem.

Authors:  A- S Eichenberger; S Proietti; S Wicky; P Frascarolo; M Suter; D R Spahn; L Magnusson
Journal:  Anesth Analg       Date:  2002-12       Impact factor: 5.108

4.  Neuromuscular blockers in early acute respiratory distress syndrome.

Authors:  Laurent Papazian; Jean-Marie Forel; Arnaud Gacouin; Christine Penot-Ragon; Gilles Perrin; Anderson Loundou; Samir Jaber; Jean-Michel Arnal; Didier Perez; Jean-Marie Seghboyan; Jean-Michel Constantin; Pierre Courant; Jean-Yves Lefrant; Claude Guérin; Gwenaël Prat; Sophie Morange; Antoine Roch
Journal:  N Engl J Med       Date:  2010-09-16       Impact factor: 91.245

5.  Bedside selection of positive end-expiratory pressure in mild, moderate, and severe acute respiratory distress syndrome.

Authors:  Davide Chiumello; Massimo Cressoni; Eleonora Carlesso; Maria L Caspani; Antonella Marino; Elisabetta Gallazzi; Pietro Caironi; Marco Lazzerini; Onnen Moerer; Michael Quintel; Luciano Gattinoni
Journal:  Crit Care Med       Date:  2014-02       Impact factor: 7.598

6.  Acute respiratory distress syndrome: the Berlin Definition.

Authors:  V Marco Ranieri; Gordon D Rubenfeld; B Taylor Thompson; Niall D Ferguson; Ellen Caldwell; Eddy Fan; Luigi Camporota; Arthur S Slutsky
Journal:  JAMA       Date:  2012-06-20       Impact factor: 56.272

7.  Recruitment Maneuvers and Positive End-Expiratory Pressure Titration in Morbidly Obese ICU Patients.

Authors:  Massimiliano Pirrone; Daniel Fisher; Daniel Chipman; David A E Imber; Javier Corona; Cristina Mietto; Robert M Kacmarek; Lorenzo Berra
Journal:  Crit Care Med       Date:  2016-02       Impact factor: 7.598

8.  COVID-19 Does Not Lead to a "Typical" Acute Respiratory Distress Syndrome.

Authors:  Luciano Gattinoni; Silvia Coppola; Massimo Cressoni; Mattia Busana; Sandra Rossi; Davide Chiumello
Journal:  Am J Respir Crit Care Med       Date:  2020-05-15       Impact factor: 21.405

9.  Comorbidity and its impact on 1590 patients with COVID-19 in China: a nationwide analysis.

Authors:  Wei-Jie Guan; Wen-Hua Liang; Yi Zhao; Heng-Rui Liang; Zi-Sheng Chen; Yi-Min Li; Xiao-Qing Liu; Ru-Chong Chen; Chun-Li Tang; Tao Wang; Chun-Quan Ou; Li Li; Ping-Yan Chen; Ling Sang; Wei Wang; Jian-Fu Li; Cai-Chen Li; Li-Min Ou; Bo Cheng; Shan Xiong; Zheng-Yi Ni; Jie Xiang; Yu Hu; Lei Liu; Hong Shan; Chun-Liang Lei; Yi-Xiang Peng; Li Wei; Yong Liu; Ya-Hua Hu; Peng Peng; Jian-Ming Wang; Ji-Yang Liu; Zhong Chen; Gang Li; Zhi-Jian Zheng; Shao-Qin Qiu; Jie Luo; Chang-Jiang Ye; Shao-Yong Zhu; Lin-Ling Cheng; Feng Ye; Shi-Yue Li; Jin-Ping Zheng; Nuo-Fu Zhang; Nan-Shan Zhong; Jian-Xing He
Journal:  Eur Respir J       Date:  2020-05-14       Impact factor: 16.671

10.  The Clinical and Chest CT Features Associated With Severe and Critical COVID-19 Pneumonia.

Authors:  Kunhua Li; Jiong Wu; Faqi Wu; Dajing Guo; Linli Chen; Zheng Fang; Chuanming Li
Journal:  Invest Radiol       Date:  2020-06       Impact factor: 10.065

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  14 in total

1.  Prone Positioning in Patients With COVID-19: Analysis of Multicenter Registry Data and Meta-analysis of Aggregate Data.

Authors:  Anastasios Kollias; Konstantinos G Kyriakoulis; Vasiliki Rapti; Ioannis P Trontzas; Thomas Nitsotolis; Konstantinos Syrigos; Garyphallia Poulakou
Journal:  In Vivo       Date:  2022 Jan-Feb       Impact factor: 2.155

2.  Nutritional parameters and outcomes in patients admitted to intensive care with COVID-19: a retrospective single-centre service evaluation.

Authors:  Timothy Eden; Shane McAuliffe; Dominic Crocombe; Jonathan Neville; Sumantra Ray
Journal:  BMJ Nutr Prev Health       Date:  2021-08-06

3.  High plasma concentration of non-esterified polyunsaturated fatty acids is a specific feature of severe COVID-19 pneumonia.

Authors:  Maxime Nguyen; Abderrahmane Bourredjem; Lionel Piroth; Bélaïd Bouhemad; Antoine Jalil; Gaetan Pallot; Naig Le Guern; Charles Thomas; Thomas Pilot; Victoria Bergas; Hélène Choubley; Jean-Pierre Quenot; Pierre-Emmanuel Charles; Laurent Lagrost; Valerie Deckert; Jean-Paul Pais de Barros; Pierre-Grégoire Guinot; David Masson; Christine Binquet; Thomas Gautier; Mathieu Blot
Journal:  Sci Rep       Date:  2021-05-24       Impact factor: 4.379

4.  The Role of Nutrition in COVID-19 Susceptibility and Severity of Disease: A Systematic Review.

Authors:  Philip T James; Zakari Ali; Andrew E Armitage; Ana Bonell; Carla Cerami; Hal Drakesmith; Modou Jobe; Kerry S Jones; Zara Liew; Sophie E Moore; Fernanda Morales-Berstein; Helen M Nabwera; Behzad Nadjm; Sant-Rayn Pasricha; Pauline Scheelbeek; Matt J Silver; Megan R Teh; Andrew M Prentice
Journal:  J Nutr       Date:  2021-07-01       Impact factor: 4.798

5.  Obesity is a strong risk factor for short-term mortality and adverse outcomes in Mexican patients with COVID-19: a national observational study.

Authors:  J M Vera-Zertuche; J Mancilla-Galindo; M Tlalpa-Prisco; P Aguilar-Alonso; M M Aguirre-García; O Segura-Badilla; M Lazcano-Hernández; H I Rocha-González; A R Navarro-Cruz; A Kammar-García; J de J Vidal-Mayo
Journal:  Epidemiol Infect       Date:  2021-04-29       Impact factor: 2.451

6.  Respiratory supports of COVID-19 patients in intensive care unit: A systematic review.

Authors:  Lichen Ouyang; Muqing Yu; Yan Zhu; Jie Gong
Journal:  Heliyon       Date:  2021-04-16

Review 7.  The negative impact of obesity on the occurrence and prognosis of the 2019 novel coronavirus (COVID-19) disease: a systematic review and meta-analysis.

Authors:  Tahereh Raeisi; Hadis Mozaffari; Nazaninzahra Sepehri; Mina Darand; Bahman Razi; Nazila Garousi; Mohammad Alizadeh; Shahab Alizadeh
Journal:  Eat Weight Disord       Date:  2021-07-11       Impact factor: 3.008

Review 8.  How to ventilate obese patients in the ICU.

Authors:  Audrey De Jong; Hermann Wrigge; Goran Hedenstierna; Luciano Gattinoni; Davide Chiumello; Jean-Pierre Frat; Lorenzo Ball; Miet Schetz; Peter Pickkers; Samir Jaber
Journal:  Intensive Care Med       Date:  2020-10-23       Impact factor: 17.440

9.  A single-centre, prospective cohort study of COVID-19 patients admitted to ICU for mechanical ventilatory support.

Authors:  Signe Søvik; Per M Bådstøløkken; Vibecke Sørensen; Peder Langeland Myhre; Christian Prebensen; Torbjørn Omland; Jan-Erik Berdal
Journal:  Acta Anaesthesiol Scand       Date:  2020-11-22       Impact factor: 2.105

10.  Obesity, the Cinderella of Clinical Medicine.

Authors:  Michelle Grunauer; Jaime Guevara-Aguirre
Journal:  Crit Care Med       Date:  2020-12       Impact factor: 9.296

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