Skip to main content

Advertisement

Log in

Prevalence of malnutrition in systemic sclerosis patients assessed by different diagnostic tools

  • Brief Report
  • Published:
Clinical Rheumatology Aims and scope Submit manuscript

Abstract

Gastrointestinal complaints of scleroderma (SS) patients are risk factors for impaired nutritional status, so insightful assessment is necessary. The aim was comparison of malnutrition rates in SS patients using different tools. Nutritional status was assessed using 7-SGA and SNAQ in 56 patients (47F, 9M) with SS. Anthropometric measurements and analysis of body composition were done. Serum levels of CRP, albumin, and hemoglobin were determined. Retrospectively, in 2018, diagnosis of malnutrition was verified using ESPEN 2015 and GLIM 2018 criteria. Gastrointestinal complaints were present in 76.8% of respondents. BMI < 18.5 was found in only 5.4% subjects. However, the percentage of patients with impaired nutritional status was higher and varied, depending on the tools used: 16.1% in SNAQ, 17.9% according to ESPEN 2015, 23.2% in 7-SGA, and as high as 62.5% when GLIM criteria were used. A significant part of patients with SS is malnourished. Screening for malnutrition should be focused on the percentage of unintentional weight loss, presence of gastrointestinal symptoms, and analysis of body composition. The choice of diagnostic tool appropriate for patients with SS will enable starting on-time nutritional intervention.

Key Points:

Gastrointestinal involvement causes a significant proportion of patients to be malnourished.

It is important to look for early signs of malnutrition in patients with SS.

Assessment of nutritional status by adequate tools enables starting on-time nutritional intervention and improving prognosis in SS patients.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Abbreviations

7-SGA:

Subjective Global Assessment (1-7 points)

ACR:

American College of Rheumatology

ALB:

Albumin

BMI:

Body mass index

CRP:

C-reactive protein

CSRGR:

Canadian Scleroderma Research Group Registry

dSS:

Diffuse form of systemic sclerosis

ECW:

Extracellular water

ESPEN:

European Society for Parenteral and Enteral Nutrition

EULAR:

European League Against Rheumatism

FAT%:

Percentage of fat tissue

FFMI:

Fat-free mass index

FTI:

Fat tissue index

GLIM:

Global Leadership Initiative on Malnutrition

HGS:

Handgrip strength

ICW:

Intracellular water

lSS:

Limited form of systemic sclerosis

MAC:

Mid-arm circumference

MUST:

Malnutrition Universal Screening Tool

SNAQ:

Short Nutritional Assessment Questionnaire

SS:

Systemic sclerosis

TBW:

Total body water

TSF:

Triceps skinfold thickness

UBML:

Unintentional body mass loss

WC:

Waist circumference

References

  1. Smith V, Scirè CA, Talarico R et al (2018) Systemic sclerosis: state of the art on clinical practice guidelines. RMD Open 4(Suppl 1):e000782

    Article  PubMed  PubMed Central  Google Scholar 

  2. Kumar S, Singh J, Rattan S et al (2017) Review article: pathogenesis and clinical manifestations of gastrointestinal involvement in systemic sclerosis. Aliment Pharmacol Ther 45(7):883–898. https://doi.org/10.1111/apt.13963

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Harrison E, Herrick AL, McLaughlin JT, Lal S (2012) Malnutrition in systemic sclerosis. Rheumatology (Oxford) 51:1747–1756. https://doi.org/10.1093/rheumatology/kes160

    Article  Google Scholar 

  4. Cruz-Domínguez MP, García-Collinot G, Saavedra MA et al (2017) Malnutrition is an independent risk factor for mortality in Mexican patients with systemic sclerosis: a cohort study. Rheumatol Int 37:1101–1109. https://doi.org/10.1007/s00296-017-3753-y

    Article  PubMed  Google Scholar 

  5. Steen VD, Medsger TA (2007) Changes in causes of death in systemic sclerosis, 1972-2002. Ann Rheum Dis 66:940–944. https://doi.org/10.1136/ard.2006.066068

    Article  PubMed  PubMed Central  Google Scholar 

  6. Baron M, Bernier P, Côté LF et al (2010) Screening and therapy for malnutrition and related gastro-intestinal disorders in systemic sclerosis: recommendations of a North American expert panel. Clin Exp Rheumatol 28(2 Suppl 58):S42–S46

    PubMed  Google Scholar 

  7. Hansi N, Thoua N, Carulli M et al (2014) Consensus best practice pathway of the UK scleroderma study group: gastrointestinal manifestations of systemic sclerosis. Clin Exp Rheumatol 32(6 Suppl 86):S-214-21

    PubMed  Google Scholar 

  8. Baron M, Hudson M, Steele R, Canadian Scleroderma Research Group (2009) Malnutrition is common in systemic sclerosis: results from the Canadian scleroderma research group database. J Rheumatol 36:2737–2743. https://doi.org/10.3899/jrheum.090694

    Article  PubMed  Google Scholar 

  9. Murtaugh MA, Frech TM (2013) Nutritional status and gastrointestinal symptoms in systemic sclerosis patients. Clin Nutr 32:130–135. https://doi.org/10.1016/j.clnu.2012.06.005

    Article  PubMed  Google Scholar 

  10. Cereda E, Codullo V, Klersy C et al (2014) Disease-related nutritional risk and mortality in systemic sclerosis. Clin Nutr 33:558–561. https://doi.org/10.1016/j.clnu.2013.08.010

    Article  PubMed  Google Scholar 

  11. Cederholm T, Bosaeus I, Barazzoni R et al (2015) Diagnostic criteria for malnutrition - An ESPEN Consensus Statement. Clin Nutr 34:335–340. https://doi.org/10.1016/j.clnu.2015.03.001

    Article  CAS  PubMed  Google Scholar 

  12. Cederholm T, Jensen GL, Correia MITD et al (2019) GLIM criteria for the diagnosis of malnutrition - A consensus report from the global clinical nutrition community. Clin Nutr 38:1–9. https://doi.org/10.1016/j.clnu.2018.08.002

    Article  CAS  PubMed  Google Scholar 

  13. Van den Hoogen F, Khanna D, Fransen J et al (2013) 2013 classification criteria for systemic sclerosis: an American College of Rheumatology/European league against rheumatism collaborative initiative. Ann Rheum Dis 72:1747–1755. https://doi.org/10.1136/annrheumdis-2013-204424

    Article  PubMed  Google Scholar 

  14. da Silva FJ, Daniel de Mello P, Daniel de Mello E (2015) Subjective global assessment of nutritional status – A systematic review of the literature. Clin Nutr 34:785–792. https://doi.org/10.1016/j.clnu.2014.12.014

    Article  Google Scholar 

  15. Kruizenga HM, Seidell JC, de Vet HC, Wierdsma NJ, van Bokhorst-de van der Schueren MA (2005) Development and validation of a hospital screening tool for malnutrition: the short nutritional assessment questionnaire (SNAQ). Clin Nutr 24:75–82. https://doi.org/10.1016/j.clnu.2004.07.015

    Article  CAS  PubMed  Google Scholar 

  16. Fearon K, Strasser F, Anker SD et al (2011) Definition and classification of cancer cachexia: an international consensus. Lancet Oncol 12:489–495. https://doi.org/10.1016/S1470-2045(10)70218-7

    Article  PubMed  Google Scholar 

  17. Caimmi C, Caramaschi P, Venturini A et al (2018) Malnutrition and sarcopenia in a large cohort of patients with systemic sclerosis. Clin Rheumatol 37:987–997. https://doi.org/10.1007/s10067-017-3932-y

    Article  CAS  PubMed  Google Scholar 

  18. Dupont R, Longué M, Galinier A et al (2018) Impact of micronutrient deficiency & malnutrition in systemic sclerosis: Cohort study and literature review. Autoimmun Rev 17(11):1081–1089. https://doi.org/10.1016/j.autrev.2018.05.010

    Article  CAS  PubMed  Google Scholar 

  19. Preis E, Franz K, Siegert E et al (2018) The impact of malnutrition on quality of life in patients with systemic sclerosis. Eur J Clin Nutr 72:504–510. https://doi.org/10.1038/s41430-018-0116-z

    Article  PubMed  Google Scholar 

  20. Spanjer MJ, Bultink IEM, de van der Schueren MAE, Voskuyl AE (2017) Prevalence of malnutrition and validation of bioelectrical impedance analysis for the assessment of body composition in patients with systemic sclerosis. Rheumatology 56:1008–1012. https://doi.org/10.1093/rheumatology/kex014

    Article  PubMed  Google Scholar 

  21. Assassi S, del Junco D, Sutter K et al (2009) Clinical and genetic factors predictive of mortality in early systemic sclerosis. Arthritis Rheum 61:1403–1411. https://doi.org/10.1002/art.24734

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Krause L, Becker MO, Brueckner CS et al (2010) Nutritional status as marker for disease activity and severity predicting mortality in patients with systemic sclerosis. Ann Rheum Dis 69:1951–1957. https://doi.org/10.1136/ard.2009.123273

    Article  PubMed  Google Scholar 

  23. Siegert E, March C, Otten L et al (2018) Prevalence of sarcopenia in systemic sclerosis: assessing body composition and functional disability in patients with systemic sclerosis. Nutrition 55-56:51–55. https://doi.org/10.1016/j.nut.2018.03.046

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

None.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jolanta A. Dardzińska.

Ethics declarations

Disclosures

None.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wojteczek, A., Dardzińska, J.A., Małgorzewicz, S. et al. Prevalence of malnutrition in systemic sclerosis patients assessed by different diagnostic tools. Clin Rheumatol 39, 227–232 (2020). https://doi.org/10.1007/s10067-019-04810-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10067-019-04810-z

Keywords

Navigation