Teresa Małecka-Massalska1, Tomasz Powrózek1, Monika Prendecka2, Radosław Mlak2, Grzegorz Sobieszek3, Wojciech Brzozowski4, Anna Brzozowska5. 1. Department of Human Physiology, Medical University of Lublin, Lublin, Poland tomaszpowrozek@gmail.com t.malecka@gmail.com. 2. Department of Human Physiology, Medical University of Lublin, Lublin, Poland. 3. Department of Cardiology, 1st Military Clinical Hospital with the Outpatient Clinic, Lublin, Poland. 4. Department of Cardiology, Medical University Lublin, Lublin, Poland. 5. St. John of Dukla Lublin Region Cancer Center, Lublin, Poland.
Abstract
BACKGROUND: Unfavorable changes in body composition are frequent among patients with head and neck cancer (HNC). Unfortunately, in daily clinical practice, there is a lack of reliable diagnostic tools for predicting changes in body composition in individuals following radiotherapy (RT). Among non-invasive tools, bioelectrical impedance analysis (BIA) seems to be most promising. One BIA parameter, the phase angle (PA), reflects condition of various body cells and their mass in detail. MATERIALS AND METHODS: Using BIA, the body composition was measured prior to and after RT in 52 male patients with HNC. PA derived from BIA prior to RT was tested as a predictor of body composition changes developing during RT. RESULTS: Patients with low PA had a greater than 9.3-fold higher chance of body mass index (BMI) reduction below 18.5 kg/m2 and over 5.9-fold and 4.2-fold higher chance of lean mass and fat mass reduction after therapy end compared with patients with a high PA value. PA values demonstrated significant diagnostic accuracy for detection of fat-free mass, lean mass and BMI reduction in the study group [area under the curve (AUC)=0.781, 0.774 and 0.786, respectively]. CONCLUSION: PA prior to RT is a useful marker for selection of individuals with HNC who are at a high risk of unfavorable changes in body composition. Copyright
BACKGROUND: Unfavorable changes in body composition are frequent among patients with head and neck cancer (HNC). Unfortunately, in daily clinical practice, there is a lack of reliable diagnostic tools for predicting changes in body composition in individuals following radiotherapy (RT). Among non-invasive tools, bioelectrical impedance analysis (BIA) seems to be most promising. One BIA parameter, the phase angle (PA), reflects condition of various body cells and their mass in detail. MATERIALS AND METHODS: Using BIA, the body composition was measured prior to and after RT in 52 male patients with HNC. PA derived from BIA prior to RT was tested as a predictor of body composition changes developing during RT. RESULTS:Patients with low PA had a greater than 9.3-fold higher chance of body mass index (BMI) reduction below 18.5 kg/m2 and over 5.9-fold and 4.2-fold higher chance of lean mass and fat mass reduction after therapy end compared with patients with a high PA value. PA values demonstrated significant diagnostic accuracy for detection of fat-free mass, lean mass and BMI reduction in the study group [area under the curve (AUC)=0.781, 0.774 and 0.786, respectively]. CONCLUSION:PA prior to RT is a useful marker for selection of individuals with HNC who are at a high risk of unfavorable changes in body composition. Copyright
Authors: Marie Lundberg; Pia Nikander; Katja Tuomainen; Helena Orell-Kotikangas; Antti Mäkitie Journal: Acta Otolaryngol Date: 2017-01-12 Impact factor: 1.494
Authors: Marion E Couch; Kim Dittus; Michael J Toth; Monte S Willis; Denis C Guttridge; Jonathan R George; Christie A Barnes; Christine G Gourin; Hirak Der-Torossian Journal: Head Neck Date: 2014-03-25 Impact factor: 3.147
Authors: Hanna R Mortensen; Jens Overgaard; Lena Specht; Marie Overgaard; Jørgen Johansen; Jan F Evensen; Lisbeth J Andersen; Elo Andersen; Cai Grau Journal: Radiother Oncol Date: 2012-03-05 Impact factor: 6.280
Authors: Digant Gupta; Christopher G Lis; Sadie L Dahlk; Jessica King; Pankaj G Vashi; James F Grutsch; Carolyn A Lammersfeld Journal: Nutr J Date: 2008-06-30 Impact factor: 3.271
Authors: Vengadesan Kowshik; Subramanian Velkumary; Pooja Sethi; Jothi Marie Feula; Soundirarajan Subhashri; Manikandan Abirami Journal: J Family Med Prim Care Date: 2021-02-27