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High Prevalence of Obesity in Severe Acute Respiratory Syndrome Coronavirus‐2 (SARS‐CoV‐2) Requiring Invasive Mechanical Ventilation
Open accessAbstract
Objective: The COVID‐19 pandemic is rapidly spreading worldwide, notably in Europe and North America where obesity is highly prevalent. The relation between obesity and severe acute respiratory syndrome coronavirus‐2 (SARS‐CoV‐2) has not been fully documented. Methods: This retrospective cohort study analyzed the relationship between clinical characteristics, including BMI, and the requirement for invasive mechanical ventilation (IMV) in 124 consecutive patients admitted in intensive care for SARS‐CoV‐2 in a single French center. Results: Obesity (BMI > 30) and severe obesity (BMI > 35) were present in 47.6% and 28.2% of cases, respectively. Overall, 85 patients (68.6%) required IMV. The proportion of patients who required IMV increased with BMI categories (P < 0.01, χ 2 test for trend), and it was greatest in patients with BMI > 35 (85.7%). In multivariate logistic regression, the need for IMV was significantly associated with male sex (P < 0.05) and BMI (P < 0.05), independent of age, diabetes, and hypertension. The odds ratio for IMV in patients with BMI > 35 versus patients with BMI < 25 was 7.36 (1.63‐33.14; P = 0.02). Conclusions: The present study showed a high frequency of obesity among patients admitted in intensive care for SARS‐CoV‐2. Disease severity increased with BMI. Obesity is a risk factor for SARS‐CoV‐2 severity, requiring increased attention to preventive measures in susceptible individuals.
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Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884
Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., Xiang, J., Wang, Y., Song, B., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30566-3 · Cited by 27,263
Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia
Li, Q., Guan, X., Wu, P., Wang, X., Zhou, L., Tong, Y., Ren, R., Leung, K. S. M., Lau, E. H. Y., Wong, J. Y., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001316 · Cited by 16,575
Grasselli, G., Zangrillo, A., Zanella, A., Antonelli, M., Cabrini, L., Castelli, A., Cereda, D., Coluccello, A., Foti, G., Fumagalli, R., et al. (2020) · JAMA · doi:10.1001/jama.2020.5394 · Cited by 5,469
Covid-19 in Critically Ill Patients in the Seattle Region — Case Series
Bhatraju, P. K., Ghassemieh, B. J., Nichols, M., Kim, R., Jerome, K. R., Nalla, A. K., Greninger, A. L., Pipavath, S., Wurfel, M. M., Evans, L., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2004500 · Cited by 2,583
The Effects of Body Mass Index on Lung Volumes
Jones, R. L., & Nzekwu, M.-M. U. (2006) · Chest · doi:10.1378/chest.130.3.827 · Cited by 1,055
The effect of obesity on lung function
Dixon, A. E., & Peters, U. (2018) · Expert Review of Respiratory Medicine · doi:10.1080/17476348.2018.1506331 · Cited by 889
Van Kerkhove, M. D., Vandemaele, K. A. H., Shinde, V., Jaramillo-Gutierrez, G., Koukounari, A., Donnelly, C. A., Carlino, L. O., Owen, R., Paterson, B., Pelletier, L., et al. (2011) · PLoS Medicine · doi:10.1371/journal.pmed.1001053 · Cited by 706
Suleyman, G., Fadel, R. A., Malette, K. M., Hammond, C., Abdulla, H., Entz, A., Demertzis, Z., Hanna, Z., Failla, A., Dagher, C., et al. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.12270 · Cited by 695
Obesity and the risk and outcome of infection
Huttunen, R., & Syrjänen, J. (2013) · International Journal of Obesity · doi:10.1038/ijo.2012.62 · Cited by 594
Peters, M. C., McGrath, K. W., Hawkins, G. A., Hastie, A. T., Levy, B. D., Israel, E., Phillips, B. R., Mauger, D. T., Comhair, S. A., Erzurum, S. C., et al. (2016) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(16)30048-0 · Cited by 543
Impact of Obesity on Influenza A Virus Pathogenesis, Immune Response, and Evolution
Honce, R., & Schultz-Cherry, S. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.01071 · Cited by 457
COVID 19 and the Patient with Obesity – The Editors Speak Out
Ryan, D. H., Ravussin, E., & Heymsfield, S. (2020) · Obesity · doi:10.1002/oby.22808 · Cited by 207
Prevention of thrombotic risk in hospitalized patients with COVID-19 and hemostasis monitoring
Susen, S., Tacquard, C. A., Mansour, A., Mansour, A., Garrigue, D., Nguyên, P., Godiér, A., Testa, S., Levy, J. H., Albaladejo, P., et al. (2020) · Critical Care · doi:10.1186/s13054-020-03000-7 · Cited by 152
Adjunct Immunotherapies for the Management of Severely Ill COVID-19 Patients
Bonam, S. R., Kaveri, S. V., Sakuntabhai, A., Gilardin, L., & Bayry, J. (2020) · Cell Reports Medicine · doi:10.1016/j.xcrm.2020.100016 · Cited by 131
Reduction of total lung capacity in obese men: comparison of total intrathoracic and gas volumes
Watson, R. A., Pride, N. B., Thomas, E. L., Fitzpatrick, J. A., Durighel, G., McCarthy, J. P., Morin, S. H., Ind, P. W., & Bell, J. D. (2010) · Journal of Applied Physiology · doi:10.1152/japplphysiol.01267.2009 · Cited by 96
Coronavirus and Obesity: Could Insulin Resistance Mediate the Severity of Covid-19 Infection?
Finucane, F. M., & Davenport, C. (2020) · Frontiers in Public Health · doi:10.3389/fpubh.2020.00184 · Cited by 74
Fasting plasma glucose is an independent predictor for severity of H1N1 pneumonia
Wang, W., Chen, H., Li, Q., Qiu, B., Wang, J., Sun, X., Xiang, Y., & Zhang, J. (2011) · BMC Infectious Diseases · doi:10.1186/1471-2334-11-104 · Cited by 35
Willette, A. A., Willette, S. A., Wang, Q., Pappas, C. A., Klinedinst, B. S., Le, S. T., Larsen, B. A., Pollpeter, A., Li, T., Mochel, J. P., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-07307-z · Cited by 29
Lung Parenchymal and Tracheal CT Morphology: Evaluation before and after Bariatric Surgery
Copley, S. J., Jones, L. C., Soneji, N. D. R., Cousins, J., Edey, A., Ahmed, A. R., & Wells, A. U. (2020) · Radiology · doi:10.1148/radiol.2020191060 · Cited by 13
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Factors associated with COVID-19-related death using OpenSAFELY
Williamson, E. J., Walker, A. J., Bhaskaran, K., Bacon, S., Bates, C., Morton, C. E., Curtis, H. J., Mehrkar, A., Evans, D., Inglesby, P., et al. (2020) · Nature · doi:10.1038/s41586-020-2521-4 · Cited by 6,674
Extrapulmonary manifestations of COVID-19
Gupta, A., Madhavan, M. V., Sehgal, K., Nair, N., Mahajan, S., Sehrawat, T. S., Bikdeli, B., Ahluwalia, N., Ausiello, J. C., Wan, E. Y., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0968-3 · Cited by 3,185
Acute kidney injury in patients hospitalized with COVID-19
Hirsch, J. S., Ng, J. H., Ross, D. W., Sharma, P., Shah, H. H., Barnett, R. L., Hazzan, A. D., Fishbane, S., Jhaveri, K. D., Abate, M., et al. (2020) · Kidney International · doi:10.1016/j.kint.2020.05.006 · Cited by 1,523
Popkin, B. M., Du, S., Green, W. D., Beck, M. A., Algaith, T., Herbst, C. H., Alsukait, R. F., Alluhidan, M., Alazemi, N., & Shekar, M. (2020) · Obesity Reviews · doi:10.1111/obr.13128 · Cited by 1,150
Dietary Choices and Habits during COVID-19 Lockdown: Experience from Poland
Sidor, A., & Rzymski, P. (2020) · Nutrients · doi:10.3390/nu12061657 · Cited by 1,111
Metadata
- Authors
- Simonnet, A., Chetboun, M., Poissy, J., Raverdy, V., Noulette, J., Duhamel, A., Labreuche, J., Mathieu, D., Pattou, F., Jourdain, M., & the LICORN and the Lille COVID‐19 and Obesity study group
- Venue
- Obesity
- Publisher
- Wiley
- Published
- 2020-06-10
- Volume
- 28
- Issue
- 7
- Pages
- 1195-1199
- ISSN
- 1930-7381 (ISSN-L)
- 1930-739X
- OpenAlex
- W3016182787
- Cited by
- 2,079
- References
- 20
- FWCI
- 57.28
- Type
- journal article
- Language
- en
- Open access
- bronze
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