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Research Article| Volume 25, ISSUE 6, P1335-1341, June 2016

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

      Background

      The aim of the present study was to establish whether high nutritional-related risk on admission predicts less improvement of Functional Independence Measure (FIM) in geriatric stroke patients.

      Methods

      We performed a retrospective cohort study of patients admitted for stroke at 5 major hospitals in the Noto district of Japan from July 2009 to June 2013. Patients were divided into 2 groups according to Geriatric Nutritional Risk Index (GNRI) at admission. Patient characteristics were compared between the low GNRI (<92) and high GNRI (≥92) groups. We assessed nutritional status using GNRI and activities of daily living using the FIM.

      Results

      A total of 540 participants (mean age, 80 years; interquartile range, 75-85 years) were included in the present study. Patients were admitted because of cerebral infarction (394 patients), intracerebral hemorrhage (123 patients), and subarachnoid hemorrhage (23 patients). Univariate analysis of FIM gain demonstrated significant differences between groups. Multivariate analysis of FIM gain adjusting for confounding factors demonstrated age (β = −.139; 95% confidence interval [CI] = −.629 to −.140), cerebral infarction (β = −.264; 95% CI = −12.956 to −6.729), National Institutes of Health Stroke Scale (β = −.180; 95% CI = −.688 to −.248), and GNRI score (β = .089; 95% CI = .010-.347) as independent factors associated with FIM gain (P < .05 for all).

      Conclusions

      GNRI at admission may independently predict FIM gain. Poor nutritional status is a predictor of lower FIM improvement in geriatric stroke patients.

      Key Words

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      References

        • Gariballa S.E.
        • Parker S.G.
        • Taub N.
        • et al.
        Influence of nutritional status on clinical outcome after acute stroke.
        Am J Clin Nutr. 1998; 68: 275-278
        • The FOOD Trial Collaboration
        Poor nutritional status on admission predicts poor outcomes after stroke: observational data from the FOOD trial.
        Stroke. 2003; 34: 1450-1456
        • Yoo S.H.
        • Kim J.S.
        • Kwon S.U.
        • et al.
        Undernutrition as a predictor of poor clinical outcomes in acute ischemic stroke patients.
        Arch Neurol. 2008; 65: 39-43
        • Lim H.J.
        • Choue R.
        Nutritional status assessed by the patient-generated subjective global assessment (PG-SGA) is associated with qualities of diet and life in Korean cerebral infarction patients.
        Nutrition. 2010; 26: 766-771
        • Shen H.C.
        • Chen H.F.
        • Peng L.N.
        • et al.
        Impact of nutritional status on long-term functional outcomes of post-acute stroke patients in Taiwan.
        Arch Gerontol Geriatr. 2011; 53: 149-152
        • Foley N.C.
        • Salter K.L.
        • Robertson J.
        • et al.
        Which reported estimate of the prevalence of malnutrition after stroke is valid?.
        Stroke. 2009; 40: 66-74
        • Bouillanne O.
        • Morineau G.
        • Dupont C.
        • et al.
        Geriatric Nutritional Risk Index: a new index for evaluating at-risk elderly medical patients.
        Am J Clin Nutr. 2005; 82: 777-783
        • Beberashvili I.
        • Azar A.
        • Sinuani I.
        • et al.
        Comparison analysis of nutritional scores for serial monitoring of nutritional status in hemodialysis patients.
        Clin J Am Soc Nephrol. 2013; 8: 443-451
        • Abd-EI-Gawad W.M.
        • Abou-Hashem R.M.
        • EI Maraghy M.O.
        • et al.
        The validity of geriatric nutrition risk index: simple tool for prediction of nutritional-related complication of hospitalized elderly patients. Comparison with mini nutritional assessment.
        Clin Nutr. 2014; 33: 1108-1116
        • Cereda E.
        • Klersy C.
        • Pedrolli C.
        • et al.
        The geriatric nutritional risk index predicts hospital length of stay and in-hospital weight loss in elderly patients.
        Clin Nutr. 2015; 34: 74-78
        • Cereda E.
        • Zagami A.
        • Vanotti A.
        • et al.
        Geriatric Nutritional Risk Index and overall-cause mortality prediction in institutionalized elderly: a 3-year survival analysis.
        Clin Nutr. 2008; 27: 717-723
        • Narumi T.
        • Arimoto T.
        • Funayama A.
        • et al.
        Prognostic importance of objective 7 nutritional indexes in patients with chronic heart failure.
        J Cardiol. 2013; 62: 307-313
        • Kinugasa Y.
        • Kato M.
        • Sugihara S.
        • et al.
        Geriatric nutritional risk index predicts functional dependency and mortality in patients with heart failure with preserved ejection fraction.
        Circ J. 2013; 77: 705-711
        • Yamada K.
        • Furuya R.
        • Takita T.
        • et al.
        Simplified nutritional screening tools for patients on maintenance hemodialysis.
        Am J Clin Nutr. 2008; 87: 106-113
        • Kobayashi I.
        • Ishimura E.
        • Kato Y.
        • et al.
        Geriatric Nutritional Risk Index, a simplified nutritional screening index, is a significant predictor of mortality in chronic dialysis patients.
        Nephrol Dial Transplant. 2010; 25: 3361-3365
        • Nii M.
        • Maeda K.
        • Wakabayashi H.
        • et al.
        Nutritional improvement and energy intake are associated with functional recovery in patients after cerebrovascular disorders.
        J Stroke Cerebrovasc Dis. 2016; 25: 57-62
        • Kokura Y.
        • Higashi S.
        • Miyamori H.
        • et al.
        Effects of fasting period on nutritional status in acute stage stroke patients: comparison among groups of stroke types.
        JJPEN. 2014; 29 ([Article in Japanese]): 757-764
        • Cereda E.
        • Vanotti A.
        The new geriatric nutritional risk index is a good predictor of muscle dysfunction in institutionalized older patients.
        Clin Nutr. 2007; 26: 78-83
        • Keith R.A.
        • Granger C.V.
        • Hamilton B.B.
        • et al.
        The functional independence measure: a new tool for rehabilitation.
        Adv Clin Rehabil. 1987; 1: 6-18
        • Mosselman M.J.
        • Kruitwagen C.L.
        • Schuurmans M.J.
        • et al.
        Malnutrition and risk of malnutrition in patients with stroke: prevalence during hospital stay.
        J Neurosci Nurs. 2013; 45: 194-204
        • Paquereau J.
        • Allart E.
        • Romon M.
        • et al.
        The long-term nutritional status in stroke patients and its predictive factors.
        J Stroke Cerebrovasc Dis. 2014; 23: 1628-1633
        • Cereda E.
        • Limonta D.
        • Pusani C.
        • et al.
        Geriatric nutritional risk index: a possible indicator of short-term mortality in acutely hospitalized older people.
        J Am Geriatr Soc. 2006; 54: 1011-1012
        • Dávalos A.
        • Ricart W.
        • Gonzalez-Huix F.
        • et al.
        Effect of malnutrition after acute stroke on clinical outcome.
        Stroke. 1996; 27: 1028-1032
        • Davis J.P.
        • Wong A.A.
        • Schluter P.J.
        • et al.
        Impact of premorbid undernutrition on outcome in stroke patients.
        Stroke. 2004; 35: 1930-1934
        • Martineau J.
        • Bauer J.D.
        • Isenring E.
        • et al.
        Malnutrition determined by the patient-generated subjective global assessment is associated with poor outcomes in acute stroke patients.
        Clin Nutr. 2005; 24: 1073-1077
        • Duncan P.W.
        • Zorowitz R.
        • Bates B.
        • et al.
        Management of adult stroke rehabilitation care: a clinical practice guideline.
        Stroke. 2005; 36: 100-143
        • Bouziana S.D.
        • Tziomalos K.
        Malnutrition in patients with acute stroke.
        J Nutr Metab. 2011; https://doi.org/10.1155/2011/167898
        • Wakabayashi H.
        • Sakuma K.
        Rehabilitation nutrition for sarcopenia with disability: a combination of both rehabilitation and nutrition care management.
        J Cachexia Sarcopenia Muscle. 2014; 5: 269-277
        • Nishioka S.
        • Wakabayashi H.
        • Nishioka E.
        • et al.
        Nutritional improvement correlates with recovery of activities of daily living among malnourished elderly stroke patients in the convalescent stage: a cross-sectional study.
        J Acad Nutr Diet. 2016; (In press)
        • Jongbloed L.
        Prediction of function after stroke: a critical review.
        Stroke. 1986; 17: 765-776
        • Dombovy M.L.
        • Sandok B.A.
        • Basford J.R.
        Rehabilitation for stroke: a review.
        Stroke. 1986; 17: 363-369
        • Kwakkel G.
        • Wagenaar R.C.
        • Kollen B.J.
        • et al.
        Predicting disability in stroke—a critical review of the literature.
        Age Ageing. 1996; 25