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    Sarcopenia: An assessment into the prevalence and disease burden in chronic pancreatitis patients

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    Author
    Mavilakandy, Akash
    Stephenson, James
    Taylor, Ruth
    Bhardwaj, Neil
    Garcea, Giuseppe
    Keyword
    Chronic pancreatitis
    Frailty
    Nutrition
    Sarcopenia
    Date
    2023-03-01
    
    Metadata
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    DOI
    10.22540/JFSF-08-038
    Publisher's URL
    https://www.jfsf.eu/Article.php?AID=v08i01_038
    Abstract
    Objectives: To evaluate the prevalence of sarcopenia in patients referred to a Multidisciplinary Chronic Pancreatitis (CP) Clinic at the University Hospitals of Leicester. Methods: All patients who had undergone CT scans were identified. Controls were identified from CT colonograms with no features of malignancy or pancreatic pathology. The psoas muscle index (PMI) was calculated using the formula: total psoas muscle cross-sectional area at the third lumbar vertebral level (cm2)/ the patient's height squared (m2). PMI cut-offs were <6.31cm2/m2 and <3.91cm2/m2 for males and females, respectively. Results: 58 CP CT scans were available for analysis along with 62 control scans. 71.9% of CP patients had a PMI below the cut-off for their gender, compared to 45.2% of the controls. The mean PMI (±SD) for male CP patients and male controls were 5.54cm2/m2 (±1.60) and 6.73 cm2/m2 (±1.54), (P=0.0023). The mean PMI (±SD) for female CP patients and female controls were 3.82 cm2/m2 (+/-1.46) and 4.98 cm2/m2 (+/-1.43), (P=0.0021). Conclusions: CP patients had a mean PMI below the cut-off value, suggesting that CP patients are largely sarcopenic. As malnutrition is a significant feature of CP, optimisation of nutrition may help to ameliorate sarcopenia in CP patients.
    Citation
    Oyebola, T., Mavilakandy, A., Stephenson, J. A., Boyce, R., Bhardwaj, N., & Garcea, G. (2023). Sarcopenia: An Assessment into the Prevalence and Disease Burden in Chronic Pancreatitis Patients. Journal of frailty, sarcopenia and falls, 8(1), 38–43. https://doi.org/10.22540/JFSF-08-038
    Type
    Article
    URI
    http://hdl.handle.net/20.500.12904/17156
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    Imaging

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