Abstract
Patients with COVID‐19 disease are prone to develop significant weight loss and clinical cachexia. Three reports with altogether 589 patients that reported on weight loss and cachexia in COVID‐19 were identified. Disease severity of patients and the timing of the assessment during the disease course in these patients were variable—65 patients (11%) were intensive care treated at the time of assessment, and 183 (31%) were cared for in sub‐intensive or intermediate care structures. The frequency of weight loss ≥5% (that defines cachexia) was 37% (range 29–52%). Correlates of weight loss occurrence were reported to be raised C‐reactive protein levels, impaired renal function status, and longer duration of COVID‐19 disease. Underweight status by WHO criteria (BMI < 18.5 kg/m2) was only observed in 4% of patients analysing data from seven studies with 6661 patients. Cachexia assessment in COVID‐19 needs assessment of weight loss. COVID‐19 associated cachexia is understood to affect muscle and fat tissue as is also seen in many other chronic illness‐associated forms of cachexia. There are many factors that can contribute to body wasting in COVID‐19, and they include loss of appetite and taste, fever and inflammation, immobilization, as well as general malnutrition, catabolic–anabolic imbalance, endocrine dysfunction, and organ‐specific complications of COVID‐19 disease such as cardiac and renal dysfunction. Treatment of COVID‐19 patients should include a focus on nutritional support and rehabilitative exercise whenever possible. Specific anti‐cachectic therapies for COVID‐19 do not exist, but constitute a high medical need to prevent long‐term disability due to acute COVID‐19 disease.
Keywords: COVID‐19, Cachexia, Weight loss, Malnutrition, Epidemiology
Introduction
Fatigue and poor functional status are hallmarks of patients infected with severe acute respiratory syndrome coronavirus type 2 (SARS‐CoV‐2), of those being hospitalized for COVID‐19, and also of those recuperating (often over many months) from the acute illness. Muscle wasting and cachexia, and associated with these malnutrition as well as complex metabolic alterations, are considered a major reason for both acute clinical problems and longer term damage to the health of patients affected by post‐COVID‐19 chronic disease. 1
Weight loss during COVID‐19
Weight loss in COVID‐19 is caused by many different factors. First of all, the SARS‐CoV‐2 infection can cause major inflammation, particularly pronounced in patients with severe and critical COVID‐19 disease. 2 Endothelial and epithelial cell death combined with vascular leakage can trigger production of chemokines and cytokines, and may result in a massive inflammatory reaction causing disturbed tissue homeostasis. 1 , 3 , 4 Acute phase proteins such as: TNFα, ferritin, C‐reactive protein (CRP), fibroblast growth factor, IL‐factors, NF‐κB, interferon‐γ are produced manifold and circulated, causing further dysregulation of metabolism and proteolysis. 4
Secondly, malnutrition is frequently seen in COVID‐19 patients. 5 , 6 , 7 Disease‐associated reductions in food intake and malnutrition can contribute to tissue wasting. Also, appetite loss, ageusia (loss of taste), fever, and sedation further contribute to malnutrition and cachexia in COVID‐19. All of these problems can lead to catabolic overdrive (likely associated with anabolic failure) and hence trigger weight loss in COVID‐19.
Thirdly, immobilization can also significantly contribute to muscle wasting and sarcopenia in COVID‐19. 8 Ultimately, it seems clear that the negative ‘synergy’ of all these factors together can cause significant body wasting in COVID‐19 patients as clinically often observed. 1
Malnutrition frequency in COVID‐19
Two studies, constituting 395 hospitalized COVID‐19 patients in total, studied malnutrition in COVID‐19 utilizing the Mini Nutritional Assessment score. They found that 42% of hospitalized patients with COVID‐19 were at risk of malnutrition and 28% of these patients were considered malnourished at the time of assessment. 5 , 6 Another study in 114 consecutive, hospitalized COVID‐19 patients found similar results using the Global Leadership Initiative on Malnutrition (GLIM) criteria with 42% (48/114 patients) being malnourished. 7
Cachexia diagnosis and frequency during COVID‐19
When weight loss reaches clinical significance, cachexia due to COVID‐19 can be diagnosed. A consensus definition that is specific for COVID‐19 patients does not yet exist. We suggest to apply the general consensus definition of cachexia 9 also to this illness. This means that cachexia in COVID‐19 can be diagnosed when ≥5% weight loss is observed, functional status is impaired, and metabolic derangement (e.g. inflammation) can be documented.
Until 12 December 2020, we have identified three peer‐reviewed publications investigating the occurrence of weight loss before, during, or after hospital treatment of in total 589 COVID‐19 patients (Table 1). One study 10 was performed at the time of hospital admission and reported on weight loss ≥5% before the index hospitalization, one study 11 investigated weight loss ≥5% until the examination date during hospitalization, and one study 6 assessed weight loss of patients in remission (i.e. after hospitalization). This clearly shows that weight loss assessment during COVID‐19 disease is not yet harmonized. We recommend that such harmonization is sought. This will support future investigations, making studies better comparable. This will also be a requirement if specific intervention trials were to be planned.
Table 1.
Parameters | Pironi et al. 11 (n = 268) | Di Filippo et al. 6 (n = 213) | Allard et al. 10 (n = 108) |
---|---|---|---|
Date published | August 2020 | October 2020 | November 2020 |
Origin of data | Bologna, Italy | Milan, Italy | Bobigny, France |
Patient inclusion | Retrospective | Retrospective | Retrospective |
Time of assessment | During treatment of COVID‐19 (in hospital) | After COVID‐19 in remission (outpatients) | At time of hospital admission for COVID‐19 |
Age (years), mean ± SD or median (IQR) | 74 (63–84) | 59 (50–68) | 62 ± 16 |
Female, n (%) | 121 (45) | 71 (33) | 44 (41) |
BMI (kg/m2), mean ± SD or median (IQR) | 25.1 (22.0–27.8) | 27.1 (24.7–31.0) | 28.8 ± 6.2 |
Number of hospitalized patients, n (%) | 268 (100) | 156 (73) a | 108 (100) |
Intensive care unit treatment, n (%) | 46 (17) | 5 (3) | 14 (13) |
Intermediate care unit treatment b | 183 (68) | NA | NA |
Severe COVID‐19 c , n (%) | NA | NA | 34 (32) |
Mild/moderate COVID‐19, n (%) | NA | NA | 74 (69) |
Weight loss ≥5% during COVID‐19 or in the last month, n (%) | 65 (52) d | 61 (29) | 40 (37) |
Observed weight loss ≥10% in last 6 months, n (%) | NA | NA | 10 (10) |
Previously hospitalized patients.
Intermediate care unit treatment or care in ‘sub‐intensive care’ unit as described by authors.
Defined as nasal oxygen ≥6 L/min.
Data regarding weight loss were available in 125 of 268 patients.
Overall, weight loss ≥5% was reported in 37% of COIVD‐19 patients with available data (166/446 patients, Table 1). The study by Pironi et al. 11 with most patients in intensive, sub‐intensive, and intermediate care units (≥85%) showed the highest incidence of weight loss ≥5% with 52% of patients (65/125 patients). Therefore, these patients seem to be in special need of nutritional attention and monitoring including enteral or parenteral nutrition. 12 Also, COVID‐19 patients mainly treated in a normal COVID‐19 ward had a risk of weight loss ≥5% of about 33%. 6 , 11
In addition to the reports discussed in Table 1, the study of Essomba et al. 13 reported on weight loss in 30 COVID‐19 patients based on self‐reported statements that such weight loss was present. Here, 9 of 30 patients (30%) confirmed the presence of weight loss. As there were no further details on this information, we did not add this study in Table 1.
We also investigated BMI reports in COVID‐19 studies, but this is in no way a complete analysis of available data. Nevertheless, only a minority of COVID‐19 clinical trials or observational studies report on the presence of underweight. Underweight (as per the WHO definition) with a BMI of <18.5 kg/m2 was seen in only 4% of COVID‐19 patients (267/6661 patients) (Table 2). We believe that the WHO classification of body weight 18 is not useful to define clinical cachexia, as is also not the case in cancer, 19 , 20 , 21 chronic kidney disease, 22 , 23 , 24 , 25 COPD, 25 , 26 , 27 or heart failure. 28 , 29 , 30
Table 2.
Parameters | Cai et al. 14 (n = 383) | Pironi et al. 11 (n = 268) | Jung et al. 15 (n = 3788) | Zakeri et al. 16 (n = 1572) | Di Filippo et al. 6 (n = 213) | Allard et al. 10 (n = 108) | Al‐Salameh et al. 17 (n = 329) |
---|---|---|---|---|---|---|---|
Date published | July 2020 | August 2020 | August 2020 | October 2020 | October 2020 | November 2020 | November 2020 |
Age (years), mean ± SD or median (IQR) | NA a | 74 (63–84) | 54 ± 14 | 70 (56–82) | 59 (50–68) | 62 ± 16 | NA b |
Female, n (%) | 200 (52) | 121 (45) | 2351 (62) | 686 (4) | 71 (33) | 44 (41) | 143 (43) |
BMI (kg/m2), mean ± SD or median (IQR) | NA | 25.1 (22.0–27.8) | 24.0 ± 3.4 | 26.7 (22.7–31.9) | 27.1 (24.7–31.0) | 28.8 ± 6.2 | NA |
Underweight (BMI ≤ 18.5 kg/m2), n (%) | 16 (4) | 24 (9) | 132 (3) | 66 (4) | 4 (2) | 5 (5) c | 20 (6) |
Median age in sub‐groups ranged from 36–50 years.
Median age in sub groups ranged from 66–85 years.
Body mass index (BMI) ≤18.5 or ≤21 kg/m2, if age ≥70 years.
Predictors of cachexia in COVID‐19
There are very limited data on the predictors of weight loss and cachexia in COVID‐19. We suggest that anything that predicts a severe course of COVID‐19 disease also predicts cachexia and muscle wasting. Weight loss in COVID‐19 patients has been found to positively correlate with higher CRP levels, reduced kidney function, and longer duration of disease. 6 Possible associations likely also include abnormal markers of cardiac and kidney function in COVID‐19, 31 , 32 as cachexia in acute and in chronic COVID‐19 disease may also develop as a secondary consequence of cardiac and renal problems. Therapies that prevent cardiac and renal events may therefore also be useful in the short‐term and long‐term care of patients with COVID‐19 or after COVID‐19 acute illness. Such therapies SGLT2 inhibitors—one trial with dapagliflozin is running in at least 900 COVID‐19 patients (DARE‐19, started during hospitalization, duration of treatment 30 days, see clinicaltrials.gov: NCT 04350593 33 ), but studies focusing on the post COVID‐19 disease process are lacking. COVID‐19 has a high potential to induce fibrosis in the lung, 34 in the heart, 35 and elsewhere in the body, which can also contribute to a chronic wasting processes. Because of this, we believe that therapy with mineralo‐corticoid receptor antagonists may also be useful in acute COVID‐19 and in the post COVID‐19 situation.
Summary
Patients with COVID‐19 disease are prone to develop significant weight loss and clinical cachexia. Three reports with a total of 589 patients were identified that reported on weight loss and cachexia in COVID‐19. The frequency of weight loss ≥5% (that defines cachexia) was 37% (range 29–52%). Cachexia assessment in COVID‐19 needs assessment of weight loss. COVID‐19 associated cachexia is understood to affect muscle and fat tissue as is also seen in many other chronic illness‐associated cachexias. There are many metabolic and nutritional factors that can contribute to body wasting in COVID‐19, and they likely also include organ specific complication of COVID‐19 disease like cardiac and renal dysfunction. Treatment of COVID‐19 patients should focus on nutritional support and rehabilitative exercise whenever possible. Specific anti‐cachectic therapies for COVID‐19 do not exist, but constitute a high medical need to prevent long‐term disability due to acute COVID‐19 disease.
Conflict of interest
M.S.A. reports personal fees from Servier, outside the submitted work.
U.L. reports personal lecture or advisory fees from Amgen, Novartis, Sanofi, Bayer, Abbott, Böhringer, Daichy Sankyo, and NovoNordisk.
S.v.H. reports received personal fees from AstraZeneca, Bayer, Boehringer Ingelheim, BRAHMS, Chugai, Grünenthal, Helsinn, Hexal, Novartis, Respicardia, Roche, Sorin, and Vifor. SvH reports research support from Amgen, AstraZeneca, Boehringer Ingelheim, IMI, and the German Center for Cardiovascular Research (DZHK), all outside the submitted work.
J.B. serves as a consultant for Abbott, Adrenomed, Amgen, Applied Therapeutics, Array, Astra Zeneca, Bayer, BerlinCures, Boehringer Ingelheim, CVRx, G3 Pharmaceutical, Impulse Dynamics, Innolife, Janssen, LivaNova, Luitpold, Medtronic, Merck, Novartis, NovoNordisk, Relypsa, Sequana Medical, V‐Wave Limited, and Vifor.
A.J.C. has received personal fees from Astra Zeneca, Bayer, Boehringer Ingelheim, Menarini, Novartis, Nutricia, Servier, Vifor, Abbott, Actimed, Arena, Cardiac Dimensions, Corvia, CVRx, Enopace, ESN Cleer, Faraday, WL Gore, Impulse Dynamics, and Respicardia, all outside the submitted work.
S.D.A. reports grants from Vifor Int and Abbott and personal fees from Vifor, Bayer, Boehringer Ingelheim, Novartis, Servier, Abbott, Actimed, Cardiac Dimensions, and Impulse Dynamics, all outside the submitted work.
Acknowledgements
The authors certify that the manuscript complies with the ‘ethical guidelines for authorship and publishing in the Journal of Cachexia, Sarcopenia and Muscle’. 36
Anker M. S., Landmesser U., von Haehling S., Butler J., Coats A., and Anker S. D. (2021) Weight loss, malnutrition, and cachexia in COVID‐19: facts and numbers, Journal of Cachexia, Sarcopenia and Muscle, 12, 9–13, 10.1002/jcsm.12674
References
- 1. Morley JE, Kalantar‐Zadeh K, Anker SD. COVID‐19: a major cause of cachexia and sarcopenia? J Cachexia Sarcopenia Muscle 2020;11:863–865. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Zeng F, Huang Y, Guo Y, Yin M, Chen X, Xiao L, et al. Association of inflammatory markers with the severity of COVID‐19: a meta‐analysis. Int J Infect Dis 2020;96:467–474. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Jin Y, Yang H, Ji W, Wu W, Chen S, Zhang W, et al. Virology, epidemiology, pathogenesis, and control of COVID‐19. Viruses 2020;12:372. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Virgens IPA, Santana NM, Lima SCVC, Fayh APT. Can COVID‐19 be a risk for cachexia for patients during intensive care? Narrative review and nutritional recommendations. Br J Nutr 2020;5:1–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Li T, Zhang Y, Gong C, Wang J, Liu B, Shi L, et al. Prevalence of malnutrition and analysis of related factors in elderly patients with COVID‐19 in Wuhan, China. Eur J Clin Nutr 2020;74:871–875. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Di Filippo L, De Lorenzo R, D'Amico M, Sofia V, Roveri L, Mele R, et al. COVID‐19 is associated with clinically significant weight loss and risk of malnutrition, independent of hospitalisation: a post‐hoc analysis of a prospective cohort study. Clin Nutr 2020;30589‐6:S0261–S5614. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Bedock D, Bel Lassen P, Mathian A, Moreau P, Couffignal J, Ciangura C, et al. Prevalence and severity of malnutrition in hospitalized COVID‐19 patients. Clin Nutr ESPEN 2020;40:214–219. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Van Aerde N, Van den Berghe G, Wilmer A, Gosselink R, Hermans G. COVID‐19 Consortium. Intensive care unit acquired muscle weakness in COVID‐19 patients. Intensive Care Med 2020;46:2083–2085. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Evans WJ, Morley JE, Argilés J, Bales C, Baracos V, Guttridge D, et al. Cachexia: a new definition. Clin Nutr 2008;27:793–799. [DOI] [PubMed] [Google Scholar]
- 10. Allard L, Ouedraogo E, Molleville J, Bihan H, Giroux‐Leprieur B, Sutton A, et al. Malnutrition: percentage and association with prognosis in patients hospitalized for coronavirus disease 2019. Nutrients 2020;12:E3679. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Pironi L, Sasdelli AS, Ravaioli F, Baracco B, Battaiola C, Bocedi G, et al. Malnutrition and nutritional therapy in patients with SARS‐CoV‐2 disease. Clin Nutr (Edinburgh, Scotland) 2020;30437‐4:S0261–S5614. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Thibault R, Seguin P, Tamion F, Pichard C, Singer P. Nutrition of the COVID‐19 patient in the intensive care unit (ICU): a practical guidance. Crit Care 2020;24:447. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Ntsama Essomba MJ, Nzana V, Noubiap JJ, Zingui‐Ottou M, Ciaffi L, Sobngwi E, et al. The follow‐up and well‐being of geriatric outpatients during COVID‐19 pandemic in Cameroon: insights from the Yaounde Central Hospital. Gerontol Geriatr Med 2020;6: 233372142095924. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Cai Q, Chen F, Wang T, Luo F, Liu X, Wu Q, et al. Obesity and COVID‐19 severity in a designated hospital in Shenzhen, China. Diabetes Care 2020;43:1392–1398. [DOI] [PubMed] [Google Scholar]
- 15. Jung C‐Y, Park H, Kim DW, Lim H, Chang JH, Choi YJ, et al. Association between body mass index and risk of coronavirus disease 2019 (COVID‐19): a nationwide case‐control study in South Korea. Clin Infect Dis 2020; ciaa1257. Online ahead of print. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Zakeri R, Bendayan R, Ashworth M, Bean DM, Dodhia H, Durbaba S, et al. A case‐control and cohort study to determine the relationship between ethnic background and severe COVID‐19. EClinicalMedicine 2020;28:100574. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Al‐Salameh A, Lanoix JP, Bennis Y, Andrejak C, Brochot E, Deschasse G, et al. The association between body mass index class and coronavirus disease 2019 outcomes. Int J Obes (Lond) 2020;1–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. https://www.euro.who.int/en/health‐topics/disease‐prevention/nutrition/a‐healthy‐lifestyle/body‐mass‐index‐bmi. 2020.
- 19. Pin F, Barreto R, Couch ME, Bonetto A, O'Connell TM. Cachexia induced by cancer and chemotherapy yield distinct perturbations to energy metabolism. J Cachexia Sarcopenia Muscle 2019;10:140–154. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Anker MS, Holcomb R, Muscaritoli M, von Haehling S, Haverkamp W, Jatoi A, et al. Orphan disease status of cancer cachexia in the USA and in the European Union: a systematic review. J Cachexia Sarcopenia Muscle 2019;10:22–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Aoyagi T, Terracina KP, Raza A, Matsubara H, Takabe K. Cancer cachexia, mechanism and treatment. World J Gastrointest Oncol 2015;7:17–29. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Mak RH, Ikizler AT, Kovesdy CP, Raj DS, Stenvinkel P, Kalantar‐Zadeh K. Wasting in chronic kidney disease. J Cachexia Sarcopenia Muscle 2011;2:9–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Lin YC, Lai YJ, Lin YC, Peng CC, Chen KC, Chuang MT, et al. Effect of weight loss on the estimated glomerular filtration rates of obese patients at risk of chronic kidney disease: the RIGOR‐TMU study. J Cachexia Sarcopenia Muscle 2019;10:756–766. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Koppe L, Fouque D, Kalantar‐Zadeh K. Kidney cachexia or protein‐energy wasting in chronic kidney disease: facts and numbers. J Cachexia Sarcopenia Muscle 2019;10:479–484. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Scherbakov N, Doehner W. Cachexia as a common characteristic in multiple chronic disease. J Cachexia Sarcopenia Muscle 2018:1189–1191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Sanders KJ, Kneppers AE, van de Bool C, Langen RC, Schols AM. Cachexia in chronic obstructive pulmonary disease: new insights and therapeutic perspective. J Cachexia Sarcopenia Muscle 2016;7:5–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Kwan HY, Maddocks M, Nolan CM, Jones SE, Patel S, Barker RE, et al. The prognostic significance of weight loss in chronic obstructive pulmonary disease‐related cachexia: a prospective cohort study. J Cachexia Sarcopenia Muscle 2019;10:1330–1338. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Lena A, Coats AJS, Anker MS. Metabolic disorders in heart failure and cancer. ESC Heart Fail 2018;5:1092–1098. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Lena A, Ebner N, Anker MS. Cardiac cachexia. Eur Heart J Suppl 2019;21:L24–L27. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Niedziela JT, Hudzik B, Strojek K, Poloński L, Gąsior M, Rozentryt P. Weight loss in heart failure is associated with increased mortality only in non‐obese patients without diabetes. J Cachexia Sarcopenia Muscle 2019;10:1307–1315. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Dawson D, Dominic P, Sheth A, Modi M. Prognostic value of cardiac biomarkers in COVID‐19 infection: a meta‐analysis. Preprint. Res Sq 2020;rs.3.rs‐34729. 2020.
- 32. Molvin J, Jujic A, Bachus E, Gallo W, Tasevska‐Dinevska G, Holm H, et al. Cardiovascular biomarkers predict post‐discharge re‐hospitalization risk and mortality among Swedish heart failure patients. ESC Heart Fail 2019;6:992–999. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. https://clinicaltrials.gov/ct2/show/NCT04350593. Accessed on 16.12. 2020.
- 34. Grillo F, Barisione E, Ball L, Mastracci L, Fiocca R. Lung fibrosis: an undervalued finding in COVID‐19 pathological series. Lancet Infect Dis 2020; S1473–3099(20)30582‐X. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Unudurthi SD, Luthra P, Bose RJC, McCarthy JR, Kontaridis MI. Cardiac inflammation in COVID‐19: lessons from heart failure. Life Sci 2020;260:118482. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. von Haehling S, Morley JE, Coats AJS, Anker SD. Ethical guidelines for publishing in the Journal of Cachexia, Sarcopenia and Muscle . J Cachexia Sarcopenia Muscle 2019;10:1143–1145. [DOI] [PMC free article] [PubMed] [Google Scholar]