Kokura Yoji, Nishioka Shinta
Department of Clinical Nutrition, Keiju Medical Center, Nanao, Japan.
Department of Medical Nutrition, Graduate School of Human Life Science, Osaka City University, Osaka, Japan.
JMA J. 2022 Jan 17;5(1):62-71. doi: 10.31662/jmaj.2021-0107. Epub 2021 Dec 3.
To date, no studies have assessed the prognostic ability of nutritional indicators to predict changes in quadriceps muscle thickness (QMT). Hence, this study aimed to identify the optimal nutritional indicators for predicting the change in QMT during the acute phase in patients with stroke.
This retrospective cohort study was a post-hoc analysis of a prospective study in a single hospital. The Geriatric Nutritional Risk Index (GNRI), Controlling Nutritional Status (CONUT), and Mini Nutritional Assessment - Short Form (MNA-SF) were assessed. The primary outcome was the 2-week change in QMT from the time of admission in the paralytic and non-paralytic sides. QMT was evaluated at the rectus femoris and the vastus intermedius in both lower limbs using B-mode ultrasound imaging. The sum of both measurements was defined as QMT. Univariate and multivariate analyses were performed to confirm the effects of nutritional risks assessed by each nutritional indicator on QMT change.
We analyzed 118 patients (mean age, 80.2 ± 8.8 years). No significant difference was found in QMT change in the non-paralytic limbs between the groups stratified based on GNRI and CONUT. However, the difference was significant between the malnourished and normal nutritional status in patients categorized by MNA-SF. After adjusting for potential confounders, a significant association was found between MNA-SF and change in QMT (malnourished vs. normal nutritional status; B = -0.143; 95% confidence interval [CI], -0.254 to -0.031) in the non-paralytic limbs. MNA-SF was not independently associated with change in QMT in the paralytic limb. Furthermore, GNRI and CONUT were not independently associated with change in QMT in both paralytic and non-paralytic limbs.
Although MNA-SF might be useful for predicting the QMT change in non-paralytic limbs, GNRI and CONUT cannot predict the QMT change in either the paralytic or non-paralytic limb.
迄今为止,尚无研究评估营养指标预测股四头肌厚度(QMT)变化的预后能力。因此,本研究旨在确定预测中风患者急性期QMT变化的最佳营养指标。
本回顾性队列研究是对一家医院的前瞻性研究进行的事后分析。评估了老年营养风险指数(GNRI)、控制营养状况(CONUT)和微型营养评定简表(MNA-SF)。主要结局是从入院时起2周内瘫痪侧和非瘫痪侧QMT的变化。使用B型超声成像评估双下肢股直肌和股中间肌的QMT。将两次测量的总和定义为QMT。进行单因素和多因素分析以确认每种营养指标评估的营养风险对QMT变化的影响。
我们分析了118例患者(平均年龄80.2±8.8岁)。在基于GNRI和CONUT分层的组之间,非瘫痪肢体的QMT变化未发现显著差异。然而,根据MNA-SF分类的患者中,营养不良和营养正常状态之间的差异显著。在调整潜在混杂因素后,发现非瘫痪肢体中MNA-SF与QMT变化之间存在显著关联(营养不良与营养正常状态;B = -0.143;95%置信区间[CI],-0.254至-0.031)。MNA-SF与瘫痪肢体的QMT变化无独立关联。此外,GNRI和CONUT与瘫痪和非瘫痪肢体的QMT变化均无独立关联。
尽管MNA-SF可能有助于预测非瘫痪肢体的QMT变化,但GNRI和CONUT均无法预测瘫痪或非瘫痪肢体的QMT变化。