Literature DB >> 33622572

High protein intake after subarachnoid hemorrhage improves oral intake and temporal muscle volume.

Hidetaka Onodera1, Takuma Mogamiya2, Shinya Matsushima2, Taigen Sase3, Kimiyuki Kawaguchi3, Homare Nakamura3, Yohtaro Sakakibara3.   

Abstract

BACKGROUND & AIMS: Dysphagia is a common sequela following stroke. Patients with subarachnoid hemorrhage (SAH) often develop atrophy of the temporal muscle, but its clinical significance remains unclear. This study aimed to investigate whether temporal muscle volume (TMV) is related to subsequent oral intake in patients with SAH and evaluate the predictors of temporal muscle atrophy.
METHODS: We performed a retrospective analysis of 60 SAH patients receiving enteral nutrition in the acute hospitalization phase at a single center between 2009 and 2019. The TMV was segmented automatically from computed tomography images and measured on admission and at week 2. Patients with a ≥20% TMV reduction were assigned to the atrophy group (n = 24) and those with a <20% TMV reduction were included in the maintenance group (n = 36). The patients' oral intake status was assessed at week 2 using the Food Intake LEVEL Scale (grade of 7-9 considered good ingestion), and the modified Rankin scale (mRS) was used at discharge (grade of 0-2 considered good prognosis). Additional data on age, sex, body mass index, severity of SAH, and protein intake were collected on day 4.
RESULTS: The maintenance group had significantly better oral intake and mRS scores compared to the atrophy group. TMV maintenance significantly affected oral intake at week 2 and the mRS score at discharge. Multivariable logistic regression analysis revealed that protein intake on day 4 significantly influenced the maintenance of TMV.
CONCLUSIONS: High protein nutrition in the acute stage of SAH contributes to temporal muscle maintenance and improves oral intake.
Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Dysphagia; Modified Rankin scale; Protein; Subarachnoid hemorrhage; Temporal muscle

Mesh:

Substances:

Year:  2021        PMID: 33622572     DOI: 10.1016/j.clnu.2021.01.040

Source DB:  PubMed          Journal:  Clin Nutr        ISSN: 0261-5614            Impact factor:   7.324


  5 in total

1.  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

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.  Skeletal muscle atrophy and myosteatosis are not related to long-term aneurysmal subarachnoid hemorrhage outcome.

Authors:  Yuanyuan Shen; Stef Levolger; Abdallah H A Zaid Al-Kaylani; Maarten Uyttenboogaart; Carlina E van Donkelaar; J Marc C Van Dijk; Alain R Viddeleer; Reinoud P H Bokkers
Journal:  PLoS One       Date:  2022-03-04       Impact factor: 3.240

4.  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

Review 5.  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

  5 in total

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