Literature DB >> 32061954

Temporal Muscle as an Indicator of Sarcopenia is Independently Associated with Hunt and Kosnik Grade on Admission and the Modified Rankin Scale Score at 6 Months of Patients with Subarachnoid Hemorrhage Treated by Endovascular Coiling.

Masahito Katsuki1, Yasuhiro Suzuki2, Keiko Kunitoki3, Yoshimichi Sato2, Keisuke Sasaki2, Shoji Mashiyama2, Ryo Matsuoka4, Elissa Allen4, Hibiki Saimaru4, Ryota Sugawara4, Akinori Hotta4, Teiji Tominaga5.   

Abstract

OBJECTIVE: Sarcopenia is defined as the loss of skeletal muscle mass and is considered an important factor for clinical outcomes in various diseases. Recent studies have shown that temporal muscle thickness (TMT) and area (TMA) can be novel indicators of sarcopenia. We examined clinical characteristics, including TMT and TMA, of patients with subarachnoid hemorrhage (SAH) treated by endovascular coiling.
METHODS: A retrospective analysis of 298 patients with SAH who were treated with endovascular coiling from 2009 to 2019 was conducted. Their premorbid modified Rankin Scale (mRS) score was 0-2. The association between the factors and Hunt and Kosnik (H-K) grades on admission and that between the clinical variables and mRS scores 6 months after the operation were analyzed.
RESULTS: In all 298 patients with SAH, Fisher group 4 and TMA <200 mm2 were independently associated with H-K grade III-V on admission in the multivariate analysis. In 254 patients with H-K grades I-III on admission, age, H-K grade III, presence of ventriculoperitoneal shunt, presence of postoperative complications, and TMA <200 mm2 were independent factors related to poor outcomes in the multivariate analysis.
CONCLUSIONS: The H-K grade on admission was independently associated with TMA. The mRS score 6 months after aneurysm treatment in patients with H-K grades I-III was also independently associated with TMA. Sarcopenia could be one of a few modifiable factors that prevent severe symptoms of SAH and improve outcomes after coiling by strengthened nutrition and physical activity.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cerebral aneurysm; Coiling; Prognostic factor; Sarcopenia; Skeletal muscle; Subarachnoid hemorrhage; Temporal muscle

Year:  2020        PMID: 32061954     DOI: 10.1016/j.wneu.2020.02.033

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.104


  13 in total

1.  Sarcopenia in patients with dementia: correlation of temporalis muscle thickness with appendicular muscle mass.

Authors:  Jangho Cho; Mina Park; Won-Jin Moon; Seol-Heui Han; Yeonsil Moon
Journal:  Neurol Sci       Date:  2021-11-30       Impact factor: 3.830

2.  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

3.  Chronic subdural hematoma in patients over 65 years old: Results of using a postoperative cognitive evaluation to determine whether to permit return to driving.

Authors:  Masahito Katsuki; Iori Yasuda; Norio Narita; Dan Ozaki; Yoshimichi Sato; Yuya Kato; Wenting Jia; Taketo Nishizawa; Ryuzaburo Kochi; Kanako Sato; Kokoro Kawamura; Naoya Ishida; Ohmi Watanabe; Siqi Cai; Shinya Shimabukuro; Kenichi Yokota
Journal:  Surg Neurol Int       Date:  2021-05-10

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.  Easily created prediction model using deep learning software (Prediction One, Sony Network Communications Inc.) for subarachnoid hemorrhage outcomes from small dataset at admission.

Authors:  Masahito Katsuki; Yukinari Kakizawa; Akihiro Nishikawa; Yasunaga Yamamoto; Toshiya Uchiyama
Journal:  Surg Neurol Int       Date:  2020-11-06

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.  Easily Created Prediction Model Using Automated Artificial Intelligence Framework (Prediction One, Sony Network Communications Inc., Tokyo, Japan) for Subarachnoid Hemorrhage Outcomes Treated by Coiling and Delayed Cerebral Ischemia.

Authors:  Masahito Katsuki; Shin Kawamura; Akihito Koh
Journal:  Cureus       Date:  2021-06-16

9.  Temporal muscle thickness and area with various characteristics data of the patients with aneurysmal subarachnoid hemorrhage who underwent endovascular coiling.

Authors:  Masahito Katsuki; Yasuhiro Suzuki; Keiko Kunitoki; Yoshimichi Sato; Keisuke Sasaki; Shoji Mashiyama; Ryo Matsuoka; Elissa Allen; Hibiki Saimaru; Ryota Sugawara; Akinori Hotta; Teiji Tominaga
Journal:  Data Brief       Date:  2020-05-18

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

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