Impact of nutritional status, muscle mass and oral status on recovery of full oral intake among stroke patients receiving enteral nutrition: A retrospective cohort study.
body composition
dysphagia
nutritional status
oral hygiene
rehabilitation
stroke
Journal
Nutrition & dietetics: the journal of the Dietitians Association of Australia
ISSN: 1747-0080
Titre abrégé: Nutr Diet
Pays: Australia
ID NLM: 101143078
Informations de publication
Date de publication:
09 2020
09 2020
Historique:
received:
18
12
2018
revised:
21
07
2019
accepted:
28
07
2019
pubmed:
10
9
2019
medline:
1
9
2021
entrez:
10
9
2019
Statut:
ppublish
Résumé
To clarify the correlation between malnutrition, muscle mass and oral status, and swallowing function recovery in stroke patients receiving enteral nutrition. Patients with stroke and dysphagia receiving any amount of enteral nutrition in rehabilitation wards from 2012 to 2016 were eligible for inclusion in this retrospective study. On admission, body composition by bioimpedance analysis, malnutrition confirmed by the European Society for Clinical Nutrition and Metabolism criteria, oral status, functional independence measure and demographic data were collected. Characteristics were compared between "oral intake alone" and "artificial nutrition" groups based on the discharge status. Kaplan-Meier methods and the Cox proportional hazards model were used to determine explanatory factors for the probability of full oral intake. Among 174 patients, 113 were analysed (55 women; median age, 77 years). Overall, 61% and 39% were classified as "oral intake alone" and "artificial nutrition," respectively. Days from onset to admission to rehabilitation wards and motor Functional Independence Measure were higher in the "oral intake alone" group. Kaplan-Meier analysis demonstrated that patients with lower muscle mass exhibited lower probability of full oral intake (P = .009). The Cox proportional hazards model suggested that lower muscle mass (hazard ratio, 0.493; 95% CI, 0.286-0.850) and poor oral hygiene (hazard ratio, 0.573; 95% CI, 0.333-0.987) were independently correlated with "oral intake alone" status. Malnutrition and other oral status are not related to achieving full oral intake. Skeletal muscle mass and oral hygiene are independently correlated with full oral intake among stroke patients receiving enteral nutrition during the rehabilitation phase.
Identifiants
pubmed: 31499583
doi: 10.1111/1747-0080.12579
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
456-466Informations de copyright
© 2019 Dietitians Association of Australia.
Références
Martino R, Foley N, Bhogal S, Diamant N, Speechley M. Dysphagia after stroke: incidence, diagnosis, and pulmonary complications. Stroke. 2005;36:2756-2763.
Foley NC, Martin RE, Salter KL, Teasell RW. A review of the relationship between dysphagia and malnutrition following stroke. J Rehabil Med. 2009;41(9):707-713.
Gordon C, Hewer RL, Wade DT. Dysphagia in acute stroke. Br Med J. 1987;295(6595):411-414.
Mann G, Hankey GJ, Cameron D. Swallowing function after stroke: prognostic factors at 6 months. Stroke. 1999;30(4):744-748.
Wilmskoetter J, Simpson AN, Simpson KN, Bonilha HS. Practice patterns of percutaneous endoscopic gastrostomy tube placement in acute stroke: are the guidelines achievable? J Stroke Cerebrovacs Dis. 2016;25(11):2694-2700.
Wilmskoetter J, Herbert TL, Bonilha HS. Factors associated with gastrostomy tube removal in patients with dysphagia after stroke: a review of the literature. Nutr Clin Pract. 2017;32(2):166-174.
Oto T, Kandori Y, Ohta T, Domen K, Koyama T. Predicting the chance of weaning dysphagic stroke patients from enteral nutrition: a multivariate logistic modelling study. Eur J Phys Rehabil Med. 2009;45:355e62.
Maeshima S, Osawa A, Hayashi T, Tanahashi N. Factors associated with prognosis of eating and swallowing disability after stroke: a study from a community-based stroke care system. J Stroke Cerebrovasc Dis. 2013;22:926e30.
Nishioka S, Okamoto T, Takayama M, et al. Malnutrition risk predicts recovery of full oral intake among older adult stroke patients undergoing enteral nutrition: secondary analysis of a multicentre survey (the APPLE study). Clin Nutr. 2017;36(4):1089-1096.
Nakadate A, Otaka Y, Kondo K, et al. Age, body mass index, and white blood cell count predict the resumption of oral intake in subacute stroke patients. J Stroke Cerebrovasc Dis. 2016;25(12):2801-2808.
Unosson M, Ek AC, Bjurulf P, von Schenck H, Larsson J. Feeding dependence and nutritional status after acute stroke. Stroke. 1994;25:3660371.
Wakabayashi H. Presbyphagia and sarcopenic dysphagia: association between aging, sarcopenia, and deglutition disorders. J Frailty Aging. 2014;3(2):97-103.
Maeda K, Takaki M, Akagi J. Decreased skeletal muscle mass and risk factors of sarcopenic dysphagia: a prospective observational cohort study. J Gerontol Ser A Biol Sci Med Sci. 2017;72(9):1290-1294.
Scherbakov N, Sandek A, Doehner W. Stroke-related sarcopenia: specific characteristics. J Am Med Dir Assoc. 2015;16:272-276.
Sporns PB, Muhle P, Hanning U, et al. Atrophy of swallowing muscles is associated with severity of dysphagia and age in patients with acute stroke. J Am Med Dir Assoc. 2017;18(7):635.e1-e7.
Mori T, Fujishima I, Wakabayashi H, et al. Development, reliability, and validity of a diagnostic algorithm for sarcopenic dysphagia. JCSM Clin Reports. 2017;2(2):1-10.
Paillaud E, Merlier I, Dupeyron C, Scherman E, Poupon J, Bories PN. Oral candidiasis and nutritional deficiencies in elderly hospitalised patients. Br J Nutr. 2004;92(5):861-867.
Shiraishi A, Yoshimura Y, Wakabayashi H, Tsuji Y. Prevalence of stroke-related sarcopenia and its association with poor oral status in post-acute stroke patients: implications for oral sarcopenia. Clin Nutr. 2018;37(1):204-207.
Ortega O, Parra C, Zarcero S, Nart J, Sakwinska O, Clavé P. Oral health in older patients with oropharyngeal dysphagia. Age Ageing. 2014;43:132-137.
Miyai I, Sonoda S, Nagai S, et al. Results of new policies for inpatient rehabilitation coverage in Japan. Neurorehabil Neural Repair. 2011;25(6):540-547.
Nagano A, Yamada Y, Miyake H, Domen K, Koyama T. Comparisons of predictive equations for resting energy expenditure in patients with cerebral infarct during acute care. J Stroke Cerebrovasc Dis. 2015;24(8):1879-1885.
Kunieda K, Ohno T, Fujishima I, Hojo K, Morita T. Reliability and validity of a tool to measure the severity of dysphagia: the Food Intake Level Scale. J Pain Symptom Manage. 2013;46(2):201-206.
Cederholm T, Bosaeus I, Barazzoni R, et al. Diagnostic criteria for malnutrition-an ESPEN consensus statement. Clin Nutr. 2015;34(3):335-340.
Rondel AL, Langius JA, de van der Schueren MA, Kruizenga HM. The new ESPEN diagnostic criteria for malnutrition predict overall survival in hospitalised patients. Clin Nutr. 2018;37(1):163-168.
Sánchez-Rodríguez D, Annweiler C, Ronquillo-Moreno N, et al. Prognostic value of the ESPEN consensus and guidelines for malnutrition: prediction of post-discharge clinical outcomes in older inpatients. Nutr Clin Pract. 2018;34:304-312.
Kaiser M, Bauer J, Ramsch C, et al. Validation of the mini nutritional assessment short-form (MNA®-SF): a practical tool for identification of nutritional status. J Nutr Health Aging. 2009;13(9):782-788.
Miyatani M, Kanehisa H, Masuo Y, Ito M, Fukunaga T. Validity of estimating limb muscle volume by bioelectrical impedance. J Appl Physiol. 2001;91:386-384.
Yoo CU, Suh SK, Kim YG. Analysis of affected and non-affected sides of stroke hemiparalysis patients and correlations between rehabilitation therapy assessments using the bioelectrical impedance analysis method. J Phys Ther Sci. 2016;28(12):3306-3309.
Cruz-Jentoft AJ, Bahat G, Bauer J, et al.; Writing Group for the European Working Group on Sarcopenia in Older People 2 (EWGSOP2), and the Extended Group for EWGSOP2 Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing. 2019;48(1):16-31.
Cruz-Jentoft AJ, Landi F, Schneider SM, et al. Prevalence of and interventions for sarcopenia in ageing adults: a systematic review. Report of the International Sarcopenia Initiative (EWGSOP and IWGS). Age Ageing. 2014;43:748-759.
Ribeiro MT, Ferreira RC, Vargas AM, Ferreira e Ferreira E. Validity and reproducibility of the revised oral assessment guide applied by community health workers. Gerodontology. 2014;31(2):101-110.
Klinger M, Madziarska K, Więckiewicz W, Weyde W, Miernik M. The assessment of prosthetic needs of ESRD patients and the general population in Poland on the basis of the Eichner classification and teeth number: a brief, preliminary report. Adv Clin Exp Med. 2017;26(5):777-780.
Chumney D, Nollinger K, Shesko K, Skop K, Spencer M, Newton RA. Ability of functional independence measure to accurately predict functional outcome of stroke-specific population: systematic review. J Rehabil Res Dev. 2010;47(1):17-29.
Yoshimura Y, Wakabayashi H, Bise T, Tanoue M. Prevalence of sarcopenia and its association with activities of daily living and dysphagia in convalescent rehabilitation ward inpatients. Clin Nutr. 2018;37(6):2022-2028.
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(4):777-783.
Cereda E, Pusani C, Limonta D, Vanotti A. The ability of the geriatric nutritional risk index to assess the nutritional status and predict the outcome of home-care resident elderly: a comparison with the mini nutritional assessment. Br J Nutr. 2009;102(4):563-570.
Paju S, Scannapieco FA. Oral biofilms, periodontitis, and pulmonary infections. Oral Dis. 2007;13(6):508-512.
Sheiham A, Steele J. Does the condition of the mouth and teeth affect the ability to eat certain foods, nutrient and dietary intake and nutritional status amongst older people? Public Health Nutr. 2001;4(3):797-803.
Robinson SM, Reginster JY, Rizzoli R, et al. Does nutrition play a role in the prevention and management of sarcopenia? Clin Nutr. 2018;37(4):1121-1132.
Okubo PCMI, Fbio SRC, Domenis DR, Takayanagui OM. Using the National Institute of Health Stroke Scale to predict dysphagia in acute ischemic stroke. Cerebrovasc Dis. 2012;33(6):501-507.
Roth EJ, Heinemann AW, Lovell LL, Harvey RL, McGuire JR, Diaz S. Impairment and disability: their relation during stroke rehabilitation. Arch Phys Med Rehabil. 1998;79(3):329-335.
Lee JH, Kim SB, Lee KW, Lee SJ, Park JG, Ri JW. Associating factors regarding nasogastric tube removal in patients with dysphagia after stroke. Ann Rehabil Med. 2014;38(1):6-12.
Cederholm T, Jensen G, Correia M, et al. The GLIM criteria for the diagnosis of malnutrition-a consensus report from the global clinical nutrition community. Clin Nutr. 2019;38(1):1-9.
Power L, Mullally D, Gibney ER, et al. A review of the validity of malnutrition screening tools used in older adults in community and healthcare settings-a MaNuEL study. Clin Nutr ESPEN. 2018;24:1-13.
Yamada Y, Watanabe Y, Ikenaga M, et al. Comparison of single- or multifrequency bioelectrical impedance analysis and spectroscopy for assessment of appendicular skeletal muscle in the elderly. J Appl Physiol. 2013;115(6):812-818.