Literature DB >> 36136099

Monitoring energy balance through clinical and serum biomarkers in patients with hematologic malignancies undergoing chemotherapy.

Chang Won Lee1, Inho Kim2, Youngil Koh3, Dongyeop Shin3, Junshik Hong3, Dong-Hoon Kim4, Mi-Rae Park5, Sun-Mok Hong1, Yeji Lee1, Kwan Sik Seo6.   

Abstract

Despite widespread concern about energy imbalance due to tumor and chemotherapy-related side effects, little is known about detailed variations in energy input, metabolic rate, and physical activity. This study explored changes in energy balance components and serum biomarkers of patients with hematologic malignancies undergoing chemotherapy. Our prospective study included 40 patients with hematologic malignancies hospitalized for chemotherapy. We measured energy balance components, physical function, and serum biomarkers at baseline and weekly after chemotherapy for 3 weeks. Significant weight loss, representing negative energy balance, occurred at 2 (p = 0.002) and 3 weeks (p < 0.001) post-chemotherapy. Statistically reduced oral intake was observed at 3 weeks post-chemotherapy (p = 0.040), and resting energy expenditure statistically decreased according to Harris-Benedict equation, but not to Penn State University equation. Physical function according to DEMMI score decreased significantly at 3 weeks post-chemotherapy (p = 0.002). Serum biomarker analysis demonstrated significant changes in albumin, total protein, CXCL13, and GDF15, with exception of leptin. Although conventional serum biomarkers (total protein and albumin) did not reach pathological states despite their statistical differences, subgroup analysis showed CXCL13 in weight loss group and GDF15 in reduced oral intake group were significantly changed. Over half of patients (65.0%, n = 26) suffered from energy imbalance associated with weight loss and reduced oral intake during chemotherapy. Serial laboratory results suggested that novel biomarkers (CXCL13, GDF15) could be correlated with cachexic state and reduced food intake. Monitoring clinical and serum biomarkers associated with energy balance together can help identify needs for nutritional support in patients with hematologic malignancies undergoing chemotherapy.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  CXCL13; Cancer cachexia; Energy balance; GDF15; Hematologic malignancy; Nutrition

Year:  2022        PMID: 36136099     DOI: 10.1007/s00277-022-04984-8

Source DB:  PubMed          Journal:  Ann Hematol        ISSN: 0939-5555            Impact factor:   4.030


  35 in total

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Authors:  Kevin D Hall; Steven B Heymsfield; Joseph W Kemnitz; Samuel Klein; Dale A Schoeller; John R Speakman
Journal:  Am J Clin Nutr       Date:  2012-04       Impact factor: 7.045

2.  Ability of the Harris Benedict formula to predict energy requirements differs with weight history and ethnicity.

Authors:  Crystal C Douglas; Jeannine C Lawrence; Nikki C Bush; Robert A Oster; Barbara A Gower; Betty E Darnell
Journal:  Nutr Res       Date:  2007-04       Impact factor: 3.315

Review 3.  Importance of nutritional screening in treatment of cancer-related weight loss.

Authors:  Maureen B Huhmann; Regina S Cunningham
Journal:  Lancet Oncol       Date:  2005-05       Impact factor: 41.316

Review 4.  Definition and classification of cancer cachexia: an international consensus.

Authors:  Kenneth Fearon; Florian Strasser; Stefan D Anker; Ingvar Bosaeus; Eduardo Bruera; Robin L Fainsinger; Aminah Jatoi; Charles Loprinzi; Neil MacDonald; Giovanni Mantovani; Mellar Davis; Maurizio Muscaritoli; Faith Ottery; Lukas Radbruch; Paula Ravasco; Declan Walsh; Andrew Wilcock; Stein Kaasa; Vickie E Baracos
Journal:  Lancet Oncol       Date:  2011-02-04       Impact factor: 41.316

5.  Chemotherapy-induced anorexia is accompanied by activation of brain pathways signaling dehydration.

Authors:  Maria Hamze Sinno; Quentin Coquerel; Nabile Boukhettala; Moïse Coëffier; Syrine Gallas; Mutsumi Terashi; Ayman Ibrahim; Denis Breuillé; Pierre Déchelotte; Sergueï O Fetissov
Journal:  Physiol Behav       Date:  2010-09-29

6.  Comparison of indirect calorimetry, the Fick method, and prediction equations in estimating the energy requirements of critically ill patients.

Authors:  L Flancbaum; P S Choban; S Sambucco; J Verducci; J C Burge
Journal:  Am J Clin Nutr       Date:  1999-03       Impact factor: 7.045

7.  A new predictive equation for resting energy expenditure in healthy individuals.

Authors:  M D Mifflin; S T St Jeor; L A Hill; B J Scott; S A Daugherty; Y O Koh
Journal:  Am J Clin Nutr       Date:  1990-02       Impact factor: 7.045

Review 8.  Indirect calorimetry: a practical guide for clinicians.

Authors:  Heather A Haugen; Lingtak-Neander Chan; Fanny Li
Journal:  Nutr Clin Pract       Date:  2007-08       Impact factor: 3.080

Review 9.  Malnutrition: laboratory markers vs nutritional assessment.

Authors:  Shishira Bharadwaj; Shaiva Ginoya; Parul Tandon; Tushar D Gohel; John Guirguis; Hiren Vallabh; Andrea Jevenn; Ibrahim Hanouneh
Journal:  Gastroenterol Rep (Oxf)       Date:  2016-05-11

Review 10.  Cancer cachexia--pathophysiology and management.

Authors:  Hajime Suzuki; Akihiro Asakawa; Haruka Amitani; Norifumi Nakamura; Akio Inui
Journal:  J Gastroenterol       Date:  2013-03-20       Impact factor: 7.527

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