Literature DB >> 34923942

Malnutrition could Predict 3-month Functional Prognosis in Mild Stroke Patients: Findings from a Nationwide Stroke Registry.

Haiqiang Qin1, Anxin Wang1, Yingting Zuo1, Yaqing Zhang1, Bo Yang1, Na Wei1, Jing Zhang1.   

Abstract

BACKGROUND: Previous studies showed the inconsistent effects of malnutrition contributing to the poor prognosis of stroke. This study aims to explore the effect of malnutrition on 3- month functional prognosis of stroke patients with different stroke severity assessed by the national institute of health stroke scale (NIHSS).
METHODS: Patients with first-ever stroke were consecutively enrolled in a nationwide, multicenter, and prospective registry from March 2007 to January 2008. Nutritional status was assessed at admission. Malnutrition was defined by any abnormality of 6 nutrition indicators, including body mass index (BMI), mid-upper arm circumference (MUAC), triceps skinfold thickness (TSF), haemoglobin, albumin, and prealbumin. Stroke patients were classified into mild (NIHSS<8) and severe (NIHSS≥8) groups. Multivariable logistic regression was performed to assess the risk of poor functional prognosis (modified Rankin Scale (mRS) ≥3) at 3-month follow-up in the mild or severe patients with malnutrition at admission.
RESULTS: A total of 755 patients with first-ever stroke were enrolled in the study. Multivariable analysis showed that malnutrition independently contributed to a higher risk of mRS 3-6 at 3-month for mild stroke patients [odds ratio (OR) 1.86, 95 % confidence interval (CI) 1.04-3.34], but didn't for severe stroke patients (OR 0.91, 95 % CI 0.53-1.54) after adjusting for confounders including age, NIHSS, and infection et al. After adjusting for the potential confounders, malnutrition was still an independent risk factor for 3-month poor functional prognosis in mild stroke patients.
CONCLUSION: Further investigation may be needed to illustrate the effects of improving nutritional status on stroke patients. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Entities:  

Keywords:  Acute stroke; functional outcome; malnutrition; national institute of health stroke scale; prognosis; registry.

Mesh:

Year:  2021        PMID: 34923942      PMCID: PMC8972270          DOI: 10.2174/1567202619666211217130221

Source DB:  PubMed          Journal:  Curr Neurovasc Res        ISSN: 1567-2026            Impact factor:   1.990


  34 in total

Review 1.  Serum albumin and health in older people: Review and meta analysis.

Authors:  Sonia Cabrerizo; Daniel Cuadras; Fernando Gomez-Busto; Iñaki Artaza-Artabe; Fernando Marín-Ciancas; Vincenzo Malafarina
Journal:  Maturitas       Date:  2015-02-28       Impact factor: 4.342

2.  The new Geriatric Nutritional Risk Index is a good predictor of muscle dysfunction in institutionalized older patients.

Authors:  Emanuele Cereda; Alfredo Vanotti
Journal:  Clin Nutr       Date:  2006-10-25       Impact factor: 7.324

3.  Malnutrition determined by the patient-generated subjective global assessment is associated with poor outcomes in acute stroke patients.

Authors:  Judy Martineau; Judith D Bauer; Elisabeth Isenring; Sarah Cohen
Journal:  Clin Nutr       Date:  2005-10-05       Impact factor: 7.324

4.  High Nutritional-Related Risk on Admission Predicts Less Improvement of Functional Independence Measure in Geriatric Stroke Patients: A Retrospective Cohort Study.

Authors:  Yoji Kokura; Keisuke Maeda; Hidetaka Wakabayashi; Shinta Nishioka; Sotaro Higashi
Journal:  J Stroke Cerebrovasc Dis       Date:  2016-03-14       Impact factor: 2.136

5.  Emerging malnutrition during hospitalisation independently predicts poor 3-month outcomes after acute stroke: data from a Chinese cohort.

Authors:  Jing Zhang; Xingquan Zhao; Anxin Wang; Yong Zhou; Bo Yang; Na Wei; Dandan Yu; Jingjing Lu; Shengyun Chen; Yilong Wang; Chunxue Wang; Rong Xue; Yanqiu Zhang; Yansheng Li; Ling Yu; Shaoshi Wang; Zhenli Chen; Tianheng Zheng; Zhuo Zhang; Meng Xia; Maolin He; Wei Li; Zhaohui Zhang; Fei Zeng; Shengdi Chen; Yi Fu; Guidong Liu; Lijuan Wang; Zhiheng Huang; Jianguo Ma; Fengqun Mu; Yun Xu; Rong Huang; Lin Wang; Yongjun Wang
Journal:  Asia Pac J Clin Nutr       Date:  2015       Impact factor: 1.662

6.  Controlling nutritional status score for predicting 3-mo functional outcome in acute ischemic stroke.

Authors:  Hiroyuki Naito; Tomohisa Nezu; Naohisa Hosomi; Shiro Aoki; Naoto Kinoshita; Junichiro Kuga; Ryo Shimomura; Mutsuko Araki; Hiroki Ueno; Kazuhide Ochi; Hirofumi Maruyama
Journal:  Nutrition       Date:  2018-03-28       Impact factor: 4.008

7.  What is the nutritional status of your patients suffering from strokes.

Authors:  M L Mansare; D A Kouda; I M Diallo; M Bakhoum; S Mourabit; K Toure; M Ndiaye; A G Diop; M M Ndiaye
Journal:  Rev Neurol (Paris)       Date:  2020-03-20       Impact factor: 2.607

8.  Correlation Between Skeletal Muscle Mass Deficit and Poor Functional Outcome in Patients with Acute Ischemic Stroke.

Authors:  Ken Ohyama; Maki Watanabe; Yasunobu Nosaki; Takashi Hara; Katsushige Iwai; Kenji Mokuno
Journal:  J Stroke Cerebrovasc Dis       Date:  2020-01-14       Impact factor: 2.136

9.  The prevalence and consequences of malnutrition risk in elderly Albanian intensive care unit patients.

Authors:  Vjollca Shpata; Ilir Ohri; Tatjana Nurka; Xhensila Prendushi
Journal:  Clin Interv Aging       Date:  2015-02-16       Impact factor: 4.458

Review 10.  Nutritional Laboratory Markers in Malnutrition.

Authors:  Ulrich Keller
Journal:  J Clin Med       Date:  2019-05-31       Impact factor: 4.241

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.