Literature DB >> 31161438

Prevalence and related factors of sarcopenia in newly diagnosed cancer patients.

Utku Oflazoglu1, Ahmet Alacacioglu2, Umut Varol2, Yuksel Kucukzeybek2, Tarik Salman2, Halil Taskaynatan2, Yasar Yildiz2, Ozlem Ozdemir2, MustafaOktay Tarhan3.   

Abstract

INTRODUCTION: Sarcopenia is defined as the loss of muscle mass and muscular functioning. Although sarcopenia prevalence is highly variable in the literature, pre-chemotherapy sarcopenia prevalence was not well studied in newly diagnosed cancer patients. In this context, the present study aims to determine the prevalence of sarcopenia and its related factors in this population.
MATERIAL AND METHODS: Prospectively, newly diagnosed cancer patients were evaluated for body composition measurement and muscle strength by employing the bioelectric impedance analysis method and handgrip dynamometer tool.
RESULTS: A total of 461 patients were included in the study. The median age of patients was 59 years (range 18-83) and 258 patients (56%) were women. Sarcopenia was present in 77 patients (16.7%) and was at significantly higher frequencies in men (p = 0.015), advanced age (≥ 65 years, p = 0.014), lower body mass index (BMI < 25, p = < 0.001), and poor performance status (ECOG status > 0, p = 0.026). In multivariate analyses, advanced age (over 65 years), gender (men), and lower body mass index (BMI < 25) were significantly associated with sarcopenia (p values 0.033, < 0.001, and < 0.001, respectively).
CONCLUSIONS: Our study is the first prevalence study conducted with bioelectric impedance analysis on Turkish cancer patients and sarcopenia was detected to be notably prevalent among our patients with newly diagnosed cancer. Given the likely negative outcomes of sarcopenia reported in the literature (treatment failure, increased complications, and impaired survival), it is important to know the presence of sarcopenia before treatment and take preventive precautions.

Entities:  

Keywords:  Advanced age; Bioelectric impedance analysis; Body composition measurement; Prevalence; Sarcopenia

Mesh:

Year:  2019        PMID: 31161438     DOI: 10.1007/s00520-019-04880-4

Source DB:  PubMed          Journal:  Support Care Cancer        ISSN: 0941-4355            Impact factor:   3.603


  42 in total

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2.  Epidemiology of sarcopenia among the elderly in New Mexico.

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Journal:  Am J Epidemiol       Date:  1998-04-15       Impact factor: 4.897

3.  ESPEN guidelines on definitions and terminology of clinical nutrition.

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Journal:  Clin Nutr       Date:  2016-09-14       Impact factor: 7.324

4.  Prevalence of and Factors Associated with Sarcopenia in Korean Cancer Survivors: Based on Data Obtained by the Korea National Health and Nutrition Examination Survey (KNHANES) 2008-2011.

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5.  Prevalence of sarcopenia and predictors of skeletal muscle mass in healthy, older men and women.

Authors:  Michele Iannuzzi-Sucich; Karen M Prestwood; Anne M Kenny
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2002-12       Impact factor: 6.053

6.  Sarcopenia: an undiagnosed condition in older adults. Current consensus definition: prevalence, etiology, and consequences. International working group on sarcopenia.

Authors:  Roger A Fielding; Bruno Vellas; William J Evans; Shalender Bhasin; John E Morley; Anne B Newman; Gabor Abellan van Kan; Sandrine Andrieu; Juergen Bauer; Denis Breuille; Tommy Cederholm; Julie Chandler; Capucine De Meynard; Lorenzo Donini; Tamara Harris; Aimo Kannt; Florence Keime Guibert; Graziano Onder; Dimitris Papanicolaou; Yves Rolland; Daniel Rooks; Cornel Sieber; Elisabeth Souhami; Sjors Verlaan; Mauro Zamboni
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7.  Sarcopenia in Asia: consensus report of the Asian Working Group for Sarcopenia.

Authors:  Liang-Kung Chen; Li-Kuo Liu; Jean Woo; Prasert Assantachai; Tung-Wai Auyeung; Kamaruzzaman Shahrul Bahyah; Ming-Yueh Chou; Liang-Yu Chen; Pi-Shan Hsu; Orapitchaya Krairit; Jenny S W Lee; Wei-Ju Lee; Yunhwan Lee; Chih-Kuang Liang; Panita Limpawattana; Chu-Sheng Lin; Li-Ning Peng; Shosuke Satake; Takao Suzuki; Chang Won Won; Chih-Hsing Wu; Si-Nan Wu; Teimei Zhang; Ping Zeng; Masahiro Akishita; Hidenori Arai
Journal:  J Am Med Dir Assoc       Date:  2014-02       Impact factor: 4.669

8.  Prevalence of sarcopenia estimated using a bioelectrical impedance analysis prediction equation in community-dwelling elderly people in Taiwan.

Authors:  Meng-Yueh Chien; Ta-Yi Huang; Ying-Tai Wu
Journal:  J Am Geriatr Soc       Date:  2008-08-06       Impact factor: 5.562

9.  Skeletal muscle cutpoints associated with elevated physical disability risk in older men and women.

Authors:  Ian Janssen; Richard N Baumgartner; Robert Ross; Irwin H Rosenberg; Ronenn Roubenoff
Journal:  Am J Epidemiol       Date:  2004-02-15       Impact factor: 4.897

10.  Changes in skeletal muscle mass during palliative chemotherapy in patients with advanced lung cancer.

Authors:  Guro B Stene; Jorunn L Helbostad; Tore Amundsen; Sveinung Sørhaug; Harald Hjelde; Stein Kaasa; Bjørn H Grønberg
Journal:  Acta Oncol       Date:  2014-09-16       Impact factor: 4.089

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  6 in total

1.  Bioelectrical Impedance Analysis for the Assessment of Sarcopenia in Patients with Cancer: A Systematic Review.

Authors:  Gabriel F P Aleixo; Shlomit S Shachar; Kirsten A Nyrop; Hyman B Muss; Claudio L Battaglini; Grant R Williams
Journal:  Oncologist       Date:  2019-11-12

2.  Prevalence of Sarcopenia in Women with Breast Cancer.

Authors:  Delia Morlino; Maurizio Marra; Iolanda Cioffi; Lidia Santarpia; Pietro De Placido; Mario Giuliano; Carmine De Angelis; Simone Carrano; Annarita Verrazzo; Giuseppe Buono; Marianna Naccarato; Olivia Di Vincenzo; Enza Speranza; Sabino De Placido; Grazia Arpino; Fabrizio Pasanisi
Journal:  Nutrients       Date:  2022-04-28       Impact factor: 6.706

3.  Prevalence of low skeletal muscle quantity and quality and their associated factors in patients before allogeneic hematopoietic stem cell transplantation.

Authors:  Shinya Yoshida; Goro Sakurai; Tetsutaro Yahata
Journal:  Intern Emerg Med       Date:  2021-08-13       Impact factor: 3.397

4.  The relationship between sarcopenia detected in newly diagnosed colorectal cancer patients and FGF21, irisin and CRP levels.

Authors:  Utku Oflazoglu; Sevinc Caglar; Huriye Erbak Yılmaz; Hülya Tas Önal; Umut Varol; Tarik Salman; Yasar Yildiz; Sinan Unal; Zeynep Gulsum Guc; Yuksel Kucukzeybek; Ahmet Alacacioglu; Mustafa Oktay Tarhan
Journal:  Eur Geriatr Med       Date:  2022-03-11       Impact factor: 3.269

5.  Extracellular water to total body water ratio predicts survival in cancer patients with sarcopenia: a multi-center cohort study.

Authors:  Yi-Zhong Ge; Guo-Tian Ruan; Qi Zhang; Wen-Jun Dong; Xi Zhang; Meng-Meng Song; Xiao-Wei Zhang; Xiang-Rui Li; Kang-Ping Zhang; Meng Tang; Wei Li; Xian Shen; Han-Ping Shi
Journal:  Nutr Metab (Lond)       Date:  2022-05-07       Impact factor: 4.654

Review 6.  Bioelectrical Impedance Analysis for the Assessment of Sarcopenia in Patients with Cancer: A Systematic Review.

Authors:  Gabriel F P Aleixo; Shlomit S Shachar; Kirsten A Nyrop; Hyman B Muss; Claudio L Battaglini; Grant R Williams
Journal:  Oncologist       Date:  2019-11-12       Impact factor: 5.837

  6 in total

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