Jana Sremanakova1, Sorrel Burden2, Yassin Kama1, Mathew Gittins3, Simon Lal1, Craig J Smith1, Shaheen Hamdy1. 1. Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK. 2. Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK. Electronic address: sorrel.burden@manchester.ac.uk. 3. Centre for Biostatistics, Institute of Population Health, University of Manchester, Manchester, UK.
Abstract
BACKGROUND: Malnutrition in patients hospitalized with a stroke have been assessed using different nutritional screening methods but there is a paucity of data linking risk of malnutrition to clinical outcomes using a validated tool. AIMS: To identify the prevalence of malnutrition risk in patients after a stroke and assess the predictive value of the Malnutrition Universal Screening Tool (MUST) on clinical outcomes. PATIENTS AND METHODS: Using data from electronic records and the Sentinel Stroke National Audit Programme (January 2013 and March 2016), patients aged more than 18 years with confirmed stroke admitted to a tertiary care stroke unit were assessed for risk of malnutrition. The association between malnutrition risk and clinical outcomes was investigated and adjusted for confounding variables. RESULTS: Of 1101 patients, 66% were screened at admission. Most patients (n = 571, 78.5%) were identified as being at low risk, 4.1% (n = 30) at medium risk, and 17.4% (n = 126) at high risk of malnutrition. Compared with low risk, patients with medium or high risk of malnutrition were more likely to have a longer hospital stay (IRR 1.30, 95% confidence interval [CI] 1.07, 1.58), and had greater risk of mortality (10.9% versus 3.5%, 95% CI .03, .13). CONCLUSIONS: Prevalence of malnutrition assessed by MUST in patients after a stroke was relatively low, but nearly a third of patients were not screened. Patients classified as being at medium or high risk of malnutrition were more likely to experience negative outcomes. Early identification of this population may improve outcome if appropriate care is provided.
BACKGROUND:Malnutrition in patients hospitalized with a stroke have been assessed using different nutritional screening methods but there is a paucity of data linking risk of malnutrition to clinical outcomes using a validated tool. AIMS: To identify the prevalence of malnutrition risk in patients after a stroke and assess the predictive value of the Malnutrition Universal Screening Tool (MUST) on clinical outcomes. PATIENTS AND METHODS: Using data from electronic records and the Sentinel Stroke National Audit Programme (January 2013 and March 2016), patients aged more than 18 years with confirmed stroke admitted to a tertiary care stroke unit were assessed for risk of malnutrition. The association between malnutrition risk and clinical outcomes was investigated and adjusted for confounding variables. RESULTS: Of 1101 patients, 66% were screened at admission. Most patients (n = 571, 78.5%) were identified as being at low risk, 4.1% (n = 30) at medium risk, and 17.4% (n = 126) at high risk of malnutrition. Compared with low risk, patients with medium or high risk of malnutrition were more likely to have a longer hospital stay (IRR 1.30, 95% confidence interval [CI] 1.07, 1.58), and had greater risk of mortality (10.9% versus 3.5%, 95% CI .03, .13). CONCLUSIONS: Prevalence of malnutrition assessed by MUST in patients after a stroke was relatively low, but nearly a third of patients were not screened. Patients classified as being at medium or high risk of malnutrition were more likely to experience negative outcomes. Early identification of this population may improve outcome if appropriate care is provided.
Authors: Viviënne Huppertz; Sonia Guida; Anne Holdoway; Stefan Strilciuc; Laura Baijens; Jos M G A Schols; Ardy van Helvoort; Mirian Lansink; Dafin F Muresanu Journal: Front Neurol Date: 2022-02-01 Impact factor: 4.003