Literature DB >> 31569058

Clinical characteristics of aneurysmal subarachnoid hemorrhage in the elderly over 75; would temporal muscle be a potential prognostic factor as an indicator of sarcopenia?

Masahito Katsuki1, Yasunaga Yamamoto1, Toshiya Uchiyama1, Naomichi Wada1, Yukinari Kakizawa2.   

Abstract

OBJECTIVES: Age of patients with subarachnoid hemorrhage (SAH) is increasing. It is challenging to decide whether to perform aneurysm treatment and to predict their prognosis. We assumed that elderly patients with SAH who do not suffer from sarcopenia tend to have good outcomes. Temporal muscle thickness (TMT) and area (TMA) are useful indicators of sarcopenia. We investigated the clinical characteristics, including temporal muscle, in SAH patients over 75 years old. PATIENTS AND METHODS: We retrospectively analyzed 49 SAH patients over 75 years old from 2014 to 2018, who accounted for 37% of the patients in all age group. The correlations between the clinical variables and the modified Rankin Scale (mRS) at discharge were analyzed.
RESULTS: Of the all 49 SAH patients over 75 years old, premorbid mRS, WFNS grade, lymphocyte, aneurysm size, TMT, TMA, showed significant correlations with mRS at discharge. Men and the absence of hydrocephalus were correlated with favorable outcomes. Thirteen of the 24 patients over 75 years old whose WFNS grade were I to III but also who underwent aneurysm treatment had favorable outcomes (mRS 0-2), and their standardized TMT divided by height, by weight, and TMA divided by weight were significantly larger than that with poor outcomes.
CONCLUSION: Aneurysm intervention should be considered when patients over 75 years old do not suffer from sarcopenia. Temporal muscle would indicate premorbid mRS and be potentially useful to decide surgical indication and to predict outcome after aneurysm treatment in the elderly.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

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

Year:  2019        PMID: 31569058     DOI: 10.1016/j.clineuro.2019.105535

Source DB:  PubMed          Journal:  Clin Neurol Neurosurg        ISSN: 0303-8467            Impact factor:   1.876


  15 in total

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2.  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

3.  Successful Mechanical Thrombectomy for Acute Middle Cerebral Artery Occlusion in a Centenarian.

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Journal:  Cureus       Date:  2022-02-09

4.  Temporal muscle thickness as an independent prognostic imaging marker in newly diagnosed glioblastoma patients: A validation study.

Authors:  Martinus P G Broen; Rueben Beckers; Anna C H Willemsen; Sandra M H Huijs; Raphael C O S Pasmans; Daniëlle B P Eekers; Linda Ackermans; Jan Beckervordersandforth; Elisabeth P M van Raak; Maikel Verduin; Monique H M E Anten; Ann Hoeben; Alida A Postma
Journal:  Neurooncol Adv       Date:  2022-03-30

5.  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

6.  Sarcopenia in Neurological Patients: Standard Values for Temporal Muscle Thickness and Muscle Strength Evaluation.

Authors:  Ariane Steindl; Johannes Leitner; Matthias Schwarz; Karl-Heinz Nenning; Ulrika Asenbaum; Sophie Mayer; Ramona Woitek; Michael Weber; Veronika Schöpf; Anna S Berghoff; Thomas Berger; Georg Widhalm; Daniela Prayer; Matthias Preusser; Julia Furtner
Journal:  J Clin Med       Date:  2020-04-28       Impact factor: 4.241

7.  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

8.  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

9.  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

10.  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
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