Literature DB >> 30689287

Temporal muscle thickness as a new indicator of nutritional status in older individuals.

Yoko Hasegawa1,2, Mikako Yoshida3, Aya Sato4, Yumiko Fujimoto5, Takeo Minematsu6,7, Junko Sugama8, Hiromi Sanada1,7.   

Abstract

AIM: Temporal muscle wasting is subjectively evaluated during nutritional assessment of protein-energy malnutrition. However, a quantitative evaluation method has not been established. The aim was to verify the validity and reliability of temporal muscle thickness measurement in comparison with established indicators of nutritional status, such as body mass index.
METHODS: A cross-sectional study was carried out from September 2016 through June 2017. A total of 73 individuals aged ≥65 years were recruited from two facilities and one community walking group. Temporal muscle thickness was measured using ultrasonography. Nutritional status was assessed with anthropometric measurements and laboratory examinations.
RESULTS: For validity, the temporal muscle thickness showed strong correlations with muscle mass, including calf circumference (r = 0.608, P < 0.001) and arm muscle circumference (r = 0.433, P < 0.001). In contrast, no strong correlations were observed with serum protein levels, such as albumin (r = 0.324, P = 0.005), or fat mass evaluated as triceps skinfold thickness (r = 0.216, P = 0.067). Temporal muscle thickness was significantly related to body mass index after adjusting for possible confounding factors of masticatory status, age and sex (β = 0.335, P = 0.007). As for reliability, the intrarater reliability of the temporal muscle measurement was 0.99 (95% confidence interval 0.98-1.00). Bland-Altman plot analysis showed no systematic errors, and the coefficient of variation of temporal muscle thickness measurements was 2.3%.
CONCLUSIONS: The present study suggests that measuring a temporal muscle thickness using ultrasonography is a valid and reliable method for evaluating nutritional status. Geriatr Gerontol Int 2019; 19: 135-140.
© 2019 Japan Geriatrics Society.

Entities:  

Keywords:  aged; malnutrition; nutrition assessment; temporal muscle; ultrasonography

Mesh:

Year:  2019        PMID: 30689287     DOI: 10.1111/ggi.13570

Source DB:  PubMed          Journal:  Geriatr Gerontol Int        ISSN: 1447-0594            Impact factor:   2.730


  10 in total

1.  Temporal muscle thickness is an independent prognostic marker in patients with progressive glioblastoma: translational imaging analysis of the EORTC 26101 trial.

Authors:  Julia Furtner; Els Genbrugge; Thierry Gorlia; Martin Bendszus; Martha Nowosielski; Vassilis Golfinopoulos; Michael Weller; Martin J van den Bent; Wolfgang Wick; Matthias Preusser
Journal:  Neuro Oncol       Date:  2019-12-17       Impact factor: 12.300

2.  Prognostic relevance of temporal muscle thickness as a marker of sarcopenia in patients with glioblastoma at diagnosis.

Authors:  Riccardo Muglia; Matteo Simonelli; Federico Pessina; Emanuela Morenghi; Pierina Navarria; Pasquale Persico; Elena Lorenzi; Angelo Dipasquale; Marco Grimaldi; Marta Scorsetti; Armando Santoro; Letterio S Politi
Journal:  Eur Radiol       Date:  2020-11-17       Impact factor: 5.315

3.  Postsurgical functional outcome prediction model using deep learning framework (Prediction One, Sony Network Communications Inc.) for hypertensive intracerebral hemorrhage.

Authors:  Masahito Katsuki; Yukinari Kakizawa; Akihiro Nishikawa; Yasunaga Yamamoto; Toshiya Uchiyama
Journal:  Surg Neurol Int       Date:  2021-05-03

4.  Endoscopic hematoma removal of supratentorial intracerebral hemorrhage under local anesthesia reduces operative time compared to craniotomy.

Authors:  Masahito Katsuki; Yukinari Kakizawa; Akihiro Nishikawa; Yasunaga Yamamoto; Toshiya Uchiyama
Journal:  Sci Rep       Date:  2020-06-25       Impact factor: 4.379

5.  A change in temporal muscle thickness is correlated with past energy adequacy in bedridden older adults: a prospective cohort study.

Authors:  Yoko Hasegawa; Mikako Yoshida; Aya Sato; Yumiko Fujimoto; Takeo Minematsu; Junko Sugama; Hiromi Sanada
Journal:  BMC Geriatr       Date:  2021-03-15       Impact factor: 3.921

6.  Standard values for temporal muscle thickness in the Japanese population who undergo brain check-up by magnetic resonance imaging.

Authors:  Masahito Katsuki; Norio Narita; Keisuke Sasaki; Yoshimichi Sato; Yasuhiro Suzuki; Shoji Mashiyama; Teiji Tominaga
Journal:  Surg Neurol Int       Date:  2021-02-23

7.  Temporal muscle thickness and area are an independent prognostic factors in patients aged 75 or younger with aneurysmal subarachnoid hemorrhage treated by clipping.

Authors:  Masahito Katsuki; Yukinari Kakizawa; Akihiro Nishikawa; Yasunaga Yamamoto; Toshiya Uchiyama
Journal:  Surg Neurol Int       Date:  2021-04-14

8.  Relevance of presenting risks of frailty, sarcopaenia and osteopaenia to outcomes from aneurysmal subarachnoid haemorrhage.

Authors:  Jia Xu Lim; Yuan Guang Lim; Aravin Kumar; Tien Meng Cheong; Julian Xinguang Han; Min Wei Chen; David Wen; Winston Lim; Ivan Hua Bak Ng; Vincent Yew Poh Ng; Ramez Wadie Kirollos; Nicole Chwee Har Keong
Journal:  BMC Geriatr       Date:  2022-04-16       Impact factor: 4.070

Review 9.  Application of ultrasound for muscle assessment in sarcopenia: 2020 SARCUS update.

Authors:  Stany Perkisas; Sophie Bastijns; Stéphane Baudry; Jürgen Bauer; Charlotte Beaudart; David Beckwée; Alfonso Cruz-Jentoft; Jerzy Gasowski; Hans Hobbelen; Harriët Jager-Wittenaar; Agnieszka Kasiukiewicz; Francesco Landi; Magdalena Małek; Ester Marco; Anna Maria Martone; Ana Merello de Miguel; Karolina Piotrowicz; Elisabet Sanchez; Dolores Sanchez-Rodriguez; Aldo Scafoglieri; Maurits Vandewoude; Veronique Verhoeven; Zyta Beata Wojszel; Anne-Marie De Cock
Journal:  Eur Geriatr Med       Date:  2021-01-02       Impact factor: 1.710

Review 10.  Temporal Muscle and Stroke-A Narrative Review on Current Meaning and Clinical Applications of Temporal Muscle Thickness, Area, and Volume.

Authors:  Masahito Katsuki; Yukinari Kakizawa; Akihiro Nishikawa; Yasunaga Yamamoto; Toshiya Uchiyama; Masahiro Agata; Naomichi Wada; Shin Kawamura; Akihito Koh
Journal:  Nutrients       Date:  2022-02-06       Impact factor: 5.717

  10 in total

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