Impact of severe SARS-CoV-2 infection on nutritional status and subjective functional loss in a prospective cohort of COVID-19 survivors

Didier Quilliot, Marine Gérard, Olivier Bonsack, Aurélie Malgras, Marie-France Vaillant, Paolo Di Patrizio, Roland Jaussaud, Olivier Ziegler, Phi-Linh Nguyen-Thi, Didier Quilliot, Marine Gérard, Olivier Bonsack, Aurélie Malgras, Marie-France Vaillant, Paolo Di Patrizio, Roland Jaussaud, Olivier Ziegler, Phi-Linh Nguyen-Thi

Abstract

The nutritional sequelae of COVID-19 have not been explored in a large cohort study.

Objectives: To identify factors associated with the change in nutritional status between discharge and 30 days post-discharge (D30). Secondary objectives were to determine the prevalence of subjective functional loss and severe disability at D30 and their associated factors.

Methods: Collected data included symptoms, nutritional status, self-evaluation of food intake, Performance Status (PS) Scale, Asthenia Scale, self-evaluation of strength (SES) for arms and legs at discharge and at D30. An SES <7 was used to determine subjective functional loss. A composite criteria for severe disability was elaborated combining malnutrition, subjective functional loss and PS >2. Patients were classified into three groups according to change in nutritional status between discharge and D30 (persistent malnutrition, correction of malnutrition and the absence of malnutrition).

Results: Of 549 consecutive patients hospitalised for COVID-19 between 1 March and 29 April 2020, 130 died including 17 after discharge (23.7%). At D30, 312 patients were at home, 288 (92.3%) of whom were interviewed. Of the latter, 33.3% were malnourished at discharge and still malnourished at D30, while 23.2% were malnourished at discharge but no longer malnourished at D30. The highest predictive factors of persistent malnutrition were intensive care unit (ICU) stay (OR=3.42, 95% CI: 2.04 to 5.75), subjective functional loss at discharge (OR=3.26, 95% CI: 1.75 to 6.08) and male sex (OR=2.39, 95% CI: 1.44 to 3.97). Subjective functional loss at discharge (76.8%) was the main predictive factor of subjective functional loss at D30 (26.3%) (OR=32.6, 95% CI: 4.36 to 244.0). Lastly, 8.3% had a severe disability, with a higher risk in patients requiring an ICU stay (OR=3.39, 95% CI: 1.43 to 8.06).

Conclusion: Patients who survived a severe form of COVID-19 had a high risk of persistent malnutrition, functional loss and severe disability at D30. We believe that nutritional support and rehabilitation should be strengthened, particularly for male patients who were admitted in ICU and had subjective functional loss at discharge.

Trial registration number: NCT04451694.

Keywords: COVID-19; nutrition & dietetics; rehabilitation medicine.

Conflict of interest statement

Competing interests: None declared.

© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Figures

Figure 1
Figure 1
Flowchart of patients included in the study. ICU, intensive care unit.

References

    1. Prescott HC, Girard TD. Recovery from severe COVID-19: Leveraging the lessons of survival from sepsis. JAMA 2020;324:739-740. 10.1001/jama.2020.14103
    1. Nalbandian A, Sehgal K, Gupta A, et al. . Post-Acute COVID-19 syndrome. Nat Med 2021;27:601–15. 10.1038/s41591-021-01283-z
    1. Liu H, Chen S, Liu M, et al. . Comorbid chronic diseases are strongly correlated with disease severity among COVID-19 patients: a systematic review and meta-analysis. Aging Dis 2020;11:668–78. 10.14336/AD.2020.0502
    1. Tong JY, Wong A, Zhu D, et al. . The prevalence of olfactory and gustatory dysfunction in COVID-19 patients: a systematic review and meta-analysis. Otolaryngol Head Neck Surg 2020;163:3–11. 10.1177/0194599820926473
    1. Roos DS, Oranje OJM, Freriksen AFD, et al. . Flavor perception and the risk of malnutrition in patients with Parkinson's disease. J Neural Transm 2018;125:925–30. 10.1007/s00702-018-1862-8
    1. Li T, Zhang Y, Gong C, et al. . Prevalence of malnutrition and analysis of related factors in elderly patients with COVID-19 in Wuhan, China. Eur J Clin Nutr 2020;74:871–5. 10.1038/s41430-020-0642-3
    1. Carod-Artal FJ. Neurological complications of coronavirus and COVID-19. Rev Neurol 2020;70:311–22. 10.33588/rn.7009.2020179
    1. Beaudart C, Rolland Y, Cruz-Jentoft AJ, et al. . Assessment of Muscle Function and Physical Performance in Daily Clinical Practice : A position paper endorsed by the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO). Calcif Tissue Int 2019;105:1–14. 10.1007/s00223-019-00545-w
    1. Cederholm T, Jensen GL, Correia MITD, et al. . GLIM criteria for the diagnosis of malnutrition - A consensus report from the global clinical nutrition community. Clin Nutr 2019;38:1–9. 10.1016/j.clnu.2018.08.002
    1. Cruz-Jentoft AJ, Bahat G, Bauer J, et al. . Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing 2019;48:16–31. 10.1093/ageing/afy169
    1. Krznarić Željko, Bender DV, Laviano A, et al. . A simple remote nutritional screening tool and practical guidance for nutritional care in primary practice during the COVID-19 pandemic. Clin Nutr 2020;39:1983–7. 10.1016/j.clnu.2020.05.006
    1. Woo J, Leung J, Morley JE. Validating the SARC-F: a suitable community screening tool for sarcopenia? J Am Med Dir Assoc 2014;15:630–4. 10.1016/j.jamda.2014.04.021
    1. Bouëtté G, Esvan M, Apel K, et al. . A visual analogue scale for food intake as a screening test for malnutrition in the primary care setting: prospective non-interventional study. Clin Nutr 2021;40:174–80. 10.1016/j.clnu.2020.04.042
    1. Gerard M, Nguyen-Thi P-L, Malgras A, et al. . Assessment of muscle function in severe and malnourished COVID-19 patients. International Journal of Nutrition and Food Sciences 2020;9:132–7. 10.11648/j.ijnfs.20200905.12
    1. Cheng MP, Papenburg J, Desjardins M, et al. . Diagnostic testing for severe acute respiratory syndrome-related coronavirus 2: a narrative review. Ann Intern Med 2020;172:726–34. 10.7326/M20-1301
    1. Hewlett S, Hehir M, Kirwan JR. Measuring fatigue in rheumatoid arthritis: a systematic review of scales in use. Arthritis Rheum 2007;57:429–39. 10.1002/art.22611
    1. Society AT . Recommended respiratory disease questionnaires for use with adults and children in epidemiologlcal research. American Review of Respiratory Disease 1978;118:7–35.
    1. Oken MM, Creech RH, Tormey DC, et al. . Toxicity and response criteria of the Eastern Cooperative Oncology Group. Am J Clin Oncol 1982;5:649–56. 10.1097/00000421-198212000-00014
    1. Thibault R, Goujon N, Le Gallic E, et al. . Use of 10-point analogue scales to estimate dietary intake: a prospective study in patients nutritionally at-risk. Clin Nutr 2009;28:134–40. 10.1016/j.clnu.2009.01.003
    1. Craig CL, Marshall AL, Sjöström M, et al. . International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc 2003;35:1381–95. 10.1249/01.MSS.0000078924.61453.FB
    1. HAdS HAS. Diagnostic de la dénutrition de l’enfant et de l’adulte. Saint-Denis La Plaine 2019.
    1. Thibault R, Quilliot D, Seguin P, et al. . Nutritional care at hospital during the Covid-19 viral epidemic: expert opinion from the French-speaking Society for clinical nutrition and metabolism (SFNCM). Nut Clin et Métab 2020;34:97–104.
    1. Beaudart C, Rizzoli R, Bruyère O, et al. . Sarcopenia: burden and challenges for public health. Arch Public Health 2014;72:45. 10.1186/2049-3258-72-45
    1. Clark BC, Manini TM. Sarcopenia =/= dynapenia. J Gerontol A Biol Sci Med Sci 2008;63:829–34. 10.1093/gerona/63.8.829
    1. Jensen GL, Cederholm T, Correia MITD, et al. . GLIM criteria for the diagnosis of malnutrition: a consensus report from the global clinical nutrition community. JPEN J Parenter Enteral Nutr 2019;43:32–40. 10.1002/jpen.1440
    1. Herridge MS, Chu LM, Matte A, et al. . The recover program: disability risk groups and 1-year outcome after 7 or more days of mechanical ventilation. Am J Respir Crit Care Med 2016;194:831–44. 10.1164/rccm.201512-2343OC
    1. Msigwa SS, Wang Y, Li Y, et al. . The neurological insights of the emerging coronaviruses. J Clin Neurosci 2020;78:1–7. 10.1016/j.jocn.2020.06.006
    1. Karnofsky DA. Chemotherapy of neoplastic disease; agents of clinical value. N Engl J Med 1948;239:299–305. 10.1056/NEJM194808192390805
    1. Shalhoub S, Al-Hameed F, Mandourah Y, et al. . Critically ill healthcare workers with the middle East respiratory syndrome (MERS): a multicenter study. PLoS One 2018;13:e0206831. 10.1371/journal.pone.0206831
    1. Cheung AM, Tansey CM, Tomlinson G, et al. . Two-Year outcomes, health care use, and costs of survivors of acute respiratory distress syndrome. Am J Respir Crit Care Med 2006;174:538–44. 10.1164/rccm.200505-693OC
    1. Herridge MS, Tansey CM, Matté A, et al. . Functional disability 5 years after acute respiratory distress syndrome. N Engl J Med 2011;364:1293–304. 10.1056/NEJMoa1011802
    1. Vacchiano V, Riguzzi P, Volpi L, et al. . Early neurological manifestations of hospitalized COVID-19 patients. Neurol Sci 2020;41:2029–31. 10.1007/s10072-020-04525-z
    1. Yan CH, Faraji F, Prajapati DP, et al. . Self-Reported olfactory loss associates with outpatient clinical course in COVID-19. Int Forum Allergy Rhinol 2020;10:821–31. 10.1002/alr.22592
    1. Pradhan A, Olsson P-E. Sex differences in severity and mortality from COVID-19: are males more vulnerable? Biol Sex Differ 2020;11:53. 10.1186/s13293-020-00330-7
    1. Cruz-Jentoft AJ, Landi F, Schneider SM, et al. . Prevalence of and interventions for sarcopenia in ageing adults: a systematic review. Report of the International sarcopenia initiative (EWGSOP and IWGS). Age Ageing 2014;43:748–59. 10.1093/ageing/afu115
    1. Lacroix A, Hortobágyi T, Beurskens R, et al. . Effects of supervised vs. unsupervised training programs on balance and muscle strength in older adults: a systematic review and meta-analysis. Sports Med 2017;47:2341–61. 10.1007/s40279-017-0747-6
    1. Kazemi A, Mohammadi V, Aghababaee SK, et al. . Association of vitamin D status with SARS-CoV-2 infection or COVID-19 severity: a systematic review and meta-analysis. Adv Nutr 2021;18. 10.1093/advances/nmab012

Source: PubMed

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