Jing Zhang1, Xingquan Zhao1, Anxin Wang1, Yong Zhou1, Bo Yang1, Na Wei1, Dandan Yu1, Jingjing Lu1, Shengyun Chen1, Yilong Wang1, Chunxue Wang1, Rong Xue2, Yanqiu Zhang2, Yansheng Li3, Ling Yu3, Shaoshi Wang4, Zhenli Chen4, Tianheng Zheng4, Zhuo Zhang5, Meng Xia5, Maolin He6, Wei Li6, Zhaohui Zhang7, Fei Zeng7, Shengdi Chen8, Yi Fu8, Guidong Liu8, Lijuan Wang9, Zhiheng Huang9, Jianguo Ma10, Fengqun Mu10, Yun Xu11, Rong Huang11, Lin Wang11, Yongjun Wang12. 1. Department of Neurology, Beijing Tian Tan Hospital, Capital Medical University, China National Clinical Research Center for Neurological Disease (NCRC-ND), Center of Stroke, Beijing Institute for Brain Disorders, Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China. 2. Tianjin Medical University General Hospital, Tianjing, China. 3. Renji Hospital of Shanghai Jiaotong University, Shanghai, China. 4. Branch of Shanghai First People's Hospital of Shanghai Jiaotong University, Shanghai, China. 5. Beijing Anzhen Hospital, Capital Medical University, Beijing, China. 6. Beijing Shijitan Hospital, Capital Medical University, Beijing, China. 7. Hubei General Hospital, Wuhan University, Wuhan, China. 8. Ruijin Hospital of Shanghai Jiaotong University, Shanghai, China. 9. Guangdong General Hospital, Guangzhou, China. 10. Tangshan Worker Hospital, Hebei Medical University, Tangshan, China. 11. Nanjing Drum Tower Hospital, Nanjing University Medical School, China, Nanjing, China. 12. Department of Neurology, Beijing Tian Tan Hospital, Capital Medical University, China National Clinical Research Center for Neurological Disease (NCRC-ND), Center of Stroke, Beijing Institute for Brain Disorders, Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China. Email: yongjunwang1962@gmail.com.
Abstract
OBJECTIVE: Questions exist regarding the causal relationship between malnutrition and stroke outcomes. This study aimed to determine whether nutritional status changes or malnutrition during hospitalisation could predict 3-month outcomes in acute stroke patients. METHODS: During a 10-month period, patients who suffered their first stroke within 7 days after stroke onset were included in this prospective multi-centre study. The demographic parameters, stroke risk and severity factors, malnutrition risk factors and dysphagia were recorded. Nutritional status was assessed by 3 anthropometric and 3 biochemical indices. Changes in nutritional status were defined by comparing the admission values with the 2-week values. A Modified Rankin Scale score of 3-6 was defined as a poor outcome at the 3-month follow-up. Univariate and multiple logistic regression analyses were used to investigate the power of nutritional status changes in predicting poor patient outcomes. RESULTS: Data from 760 patients were analysed. Poor outcomes were observed in 264 (34.7%) patients. Malnutrition prevalence was 3.8% at admission and 7.5% after 2-weeks in hospital, which could not predict 3-month outcome. Emerging malnutrition was observed in 36 patients (4.7%) during the 2-week hospitalisation period and independently predicted poor 3-month outcomes after adjusting for confounding factors (odds ratio 1.37, 95% confidence interval 1.03-1.83). CONCLUSIONS: Emerging malnutrition during hospitalisation independently predicted poor 3-month outcomes in acute stroke patients in this study.
OBJECTIVE: Questions exist regarding the causal relationship between malnutrition and stroke outcomes. This study aimed to determine whether nutritional status changes or malnutrition during hospitalisation could predict 3-month outcomes in acute strokepatients. METHODS: During a 10-month period, patients who suffered their first stroke within 7 days after stroke onset were included in this prospective multi-centre study. The demographic parameters, stroke risk and severity factors, malnutrition risk factors and dysphagia were recorded. Nutritional status was assessed by 3 anthropometric and 3 biochemical indices. Changes in nutritional status were defined by comparing the admission values with the 2-week values. A Modified Rankin Scale score of 3-6 was defined as a poor outcome at the 3-month follow-up. Univariate and multiple logistic regression analyses were used to investigate the power of nutritional status changes in predicting poor patient outcomes. RESULTS: Data from 760 patients were analysed. Poor outcomes were observed in 264 (34.7%) patients. Malnutrition prevalence was 3.8% at admission and 7.5% after 2-weeks in hospital, which could not predict 3-month outcome. Emerging malnutrition was observed in 36 patients (4.7%) during the 2-week hospitalisation period and independently predicted poor 3-month outcomes after adjusting for confounding factors (odds ratio 1.37, 95% confidence interval 1.03-1.83). CONCLUSIONS: Emerging malnutrition during hospitalisation independently predicted poor 3-month outcomes in acute strokepatients in this study.
Authors: Marian Galovic; Anne Julia Stauber; Natascha Leisi; Werner Krammer; Florian Brugger; Jochen Vehoff; Philipp Balcerak; Anna Müller; Marlise Müller; Jochen Rosenfeld; Alexandros Polymeris; Sebastian Thilemann; Gian Marco De Marchis; Thorsten Niemann; Maren Leifke; Philippe Lyrer; Petra Saladin; Timo Kahles; Krassen Nedeltchev; Hakan Sarikaya; Simon Jung; Urs Fischer; Concetta Manno; Carlo W Cereda; Josemir W Sander; Barbara Tettenborn; Bruno J Weder; Sandro J Stoeckli; Marcel Arnold; Georg Kägi Journal: JAMA Neurol Date: 2019-05-01 Impact factor: 18.302
Authors: F Monacelli; M Sartini; V Bassoli; D Becchetti; A L Biagini; A Nencioni; M Cea; R Borghi; F Torre; P Odetti Journal: J Nutr Health Aging Date: 2017 Impact factor: 4.075
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