Impact of Premorbid Malnutrition and Dysphagia on Ischemic Stroke Outcome in Elderly Patients: A Community-Based Study

Aliasghari, Fereshteh; Izadi, Azimeh; Khalili, Mohammad; Farhoudi, Mehdi; Ahmadiyan, Shahram; Deljavan, Reza

doi:10.1080/07315724.2018.1510348

Cited by 26 publications

(24 citation statements)

References 66 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The unfavorable prognostic impact of poor nutritional status in diseased individuals has been widely described, so nutrition screening tools are useful for nurses and other health professionals for the assessment of patient prognosis. Several nutrition screening tools have been used in stroke patients, such as the MNA, conducted mainly by questionnaire in combination with BMI (Aliasghari et al, 2018; Hsieh et al, 2017; Zhao et al, 2017); the Geriatric Nutritional Risk Index, a simple and well-established nutrition screening tool that predicts poor prognosis in elderly patients and in those with a high risk of cardiovascular events (Maruyama, Nakagawa, Koyama, Maruyama, & Hasebe, 2018); the malnutrition assessment according to the definition of malnutrition from the European Society of Clinical Nutrition and Metabolism (ESPEN; Burgos et al, 2018; Marco et al, 2018); and the MUST (Dworzynski, Ritchie, & Playford, 2015; Hookway, Gomes, & Weekes, 2015; Sabbouh & Torbey, 2017). Other nutrition screening tools have also been developed and used, at least once, in stroke patients, such as the NRS 2002 and the SGA (Kondrup, Allison, Elia, Vellas, & Plauth, 2003; Sabbouh & Torbey, 2017).…”

Section: Discussionmentioning

confidence: 99%

“…Stroke is one of the leading causes of mortality and disability worldwide as well as an enormous health-care burden (Feigin et al, 2018;Feigin, Norrving, & Mensah, 2017). Malnutrition is frequently observed in stroke patients and is associated with poor outcomes, both in the acute and rehabilitation phases, including increased mortality and morbidity (Aliasghari et al, 2018;FOOD Trial Collaboration, 2003;Martineau, Bauer, Isenring, & Cohen, 2005;Zhang et al, 2015). Malnutrition at hospital admission predicts poor outcomes after stroke, and 1-week undernutrition was reported to predict poor 3-month outcomes (López Espuela et al, 2017;Yoo et al, 2008).…”

mentioning

confidence: 99%

See 1 more Smart Citation

Controlling Nutritional Status (CONUT) Score as a Predictor of All-Cause Mortality at 3 Months in Stroke Patients

Espuela

Roncero-Martín

Zamorano

et al. 2019

Biological Research For Nursing

View full text Add to dashboard Cite

Malnutrition is frequently observed in patients after stroke and is associated with poor outcomes. Patients at risk of malnutrition may be identified with several nutrition screening tools, but no nutritional screening tool has been validated for use with stroke patients. The aim of this study was to explore the ability of the Controlling Nutritional Status (CONUT) score to predict 3-month mortality in stroke patients. Method: Patients were recruited from consecutive admissions at a hyperacute stroke unit and were screened for risk of malnutrition (light, moderate, or severe) using CONUT scores. At the next visit, 3-month outcomes were obtained. Results: Of the 164 recruited patients, 51.2% were male. Mean patient age was 77.7 ( SD = 7.0) years, and 85.8% of patients had an ischemic stroke. There was a significant difference in the survival rate ( p < .001) at 3 months between patients with moderate risk for malnourishment compared to the other patients. The multivariate regression Cox model showed that moderate risk of malnourishment, according to the CONUT score, increased the risk for death at 3 months (hazard ratio = 1.086; 95% CI [1.057, 8.305]; p < .039). Conclusion: The CONUT score has predictive validity for all-cause mortality in stroke patients after 3 months, both in hospital and after discharge. Further prospective multicenter studies with larger samples are needed to clarify the usefulness of the CONUT score in the prognosis of all-cause mortality in stroke patients.

show abstract

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Controlling Nutritional Status (CONUT) Score as a Predictor of All-Cause Mortality at 3 Months in Stroke Patients

Espuela

Roncero-Martín

Zamorano

et al. 2019

Biological Research For Nursing

View full text Add to dashboard Cite

show abstract

“…9 Patients with IS frequently suffer from malnutrition, which is exacerbated by stroke-induced dysphagia. 10 Evidence strongly supports that post-IS protein-energy malnutrition is a risk factor for deprived clinical outcomes. 3 These patients usually express increased oxidative stress and inflammation levels, which contribute to their poor clinical outcomes, and if this condition was reversed, it could restore the protein anabolism/catabolism balance and benefit the critically ill ischemic patient.…”

Section: Introductionmentioning

confidence: 98%

Effect of Whey Protein Supplementation on Inflammatory and Antioxidant Markers, and Clinical Prognosis in Acute Ischemic Stroke (TNS Trial): A Randomized, Double Blind, Controlled, Clinical Trial

et al. 2019

Self Cite

View full text Add to dashboard Cite

Purpose: Malnutrition is extensively prevalent amongst critically ill patients afflicted by ischemic stroke (IS). This study purpose was to evaluate the protein whey effect on inflammatory and antioxidant markers and functional prognosis in acute IS patients. Methods: out of 42 patients with acute IS who were referred to Imam Reza Educational Hospital, Tabriz, Iran, 40 patients participated in the study. Twenty-one patients as control group received the hospital routine formula, and 19 patients as intervention group received 20 g/daily of whey protein through oral gavage. Inflammation and oxidative stress indicators (e.g., albumin, malondialdehyde (MDA), total antioxidant capacity (TAC), interleukin-6 (IL-6), tumor necrosis factor alpha (TNF-α), and high sensitivity C reactive protein (hs-CRP)and clinical variables included in were evaluated using National Institutes of Health Stroke Scale (NIHSS) and modified Rankin Scale (mRS) during admission and also 3 weeks after intervention. Results: Whey protein supplementation significantly decreased the NIHSS and mRS scores, TNF-α, IL-6, and hs-CRP by passing 3 weeks from intervention (P<0.05). However, whey formula had no significant effect on other markers including albumin, and MDA. The hs-CRP (P = 0.02) reduction was significantly higher in whey protein group in comparison with control group. Conclusion: Whey protein supplementation reduced inflammation markers in those patients with IS. However, these changes should be studied in larger-scale trials.

show abstract

“…Previous studies have confirmed that compared to older people with good nutritional status, those with undernutrition or high undernutrition risk show low immunity, poor resistance, decreased quality of life, prolonged hospital stay, increased hospital costs, poor treatment effect, poor prognosis, and high incidence of complications (6)(7)(8)(9). Numerous studies have demonstrated the association of undernutrition with a high incidence of and mortality due to fractures and various diseases in older individuals (10)(11)(12)(13)(14)(15). Therefore, considering the increasing proportion of older individuals in China, the "Healthy China 2030 Program Outline" and improvements in the nutritional status and health of all citizens in China need to be implemented.…”

Section: Introductionmentioning

confidence: 96%

Geographic and Age Variations in Low Body Mass Index Among Community-Dwelling Older People in Xinjiang: A Cross-Sectional Study

Liu

Qun²,

Xuekelati

et al. 2021

Front. Med.

View full text Add to dashboard Cite

Background: Studies have shown an association between undernutrition and increased adverse outcome, as well as substantial geographic and age variations in undernutrition. Body mass index (BMI), a core indicator of undernutrition, is easy to measure and reflects the nutritional and health status of the human body. It is a simple and suitable tool for epidemiological investigations in large sample populations. Herein, we provide the first description of geographic and age variations in the prevalence of low BMI among community-dwelling older people in Xinjiang.Methods: From January 2019 to December 2019, using a multi-stage random sampling method, we conducted a cross-sectional epidemiological survey of the community-dwelling older people in Xinjiang at different latitudes. Of the 87,000 participants, the statistical analyses included 86,514 participants with complete data.Results: In Xinjiang, the prevalence of low BMI was 7.7% in the community-dwelling older people. The BMI gradually decreased with increasing age and gradually increased with latitude. The prevalence of low BMI in northern Xinjiang was 5.3%, which was significantly lower than that in eastern (7.7%) and southern (9.3%) Xinjiang. In the 60–69-, 70–79-, 80–89-, and ≥90-year age groups, the prevalence rates of low BMI were 5.8, 7.9, 10.0, and 13.9%, respectively. After adjusting for confounding factors (sex, ethnic group, hypertension, diabetes, hyperlipemia, smoking, and drinking), multivariate logistic regression analysis showed that the odds ratios (95% CI) for low BMI in eastern and southern Xinjiang were 1.165 (1.056–1.285) and 1.400 (1.274–1.538), respectively, compared to northern Xinjiang. The adjusted odds ratios (95% CI) for low BMI in the 70–79-, 80–89-, and ≥90-year age groups were 1.511 (1.39–1.635), 2.233 (2.030–2.456), and 3.003 (2.439–3.696), respectively, compared to the 60–69-year age group.Conclusion: The results of this study revealed geographic and age variations in the prevalence of low BMI in the community-dwelling older people in Xinjiang. The prevalence of low BMI gradually increased as the latitude decreased and as age increased.

show abstract

Impact of Premorbid Malnutrition and Dysphagia on Ischemic Stroke Outcome in Elderly Patients: A Community-Based Study

Cited by 26 publications

References 66 publications

Controlling Nutritional Status (CONUT) Score as a Predictor of All-Cause Mortality at 3 Months in Stroke Patients

Controlling Nutritional Status (CONUT) Score as a Predictor of All-Cause Mortality at 3 Months in Stroke Patients

Effect of Whey Protein Supplementation on Inflammatory and Antioxidant Markers, and Clinical Prognosis in Acute Ischemic Stroke (TNS Trial): A Randomized, Double Blind, Controlled, Clinical Trial

Geographic and Age Variations in Low Body Mass Index Among Community-Dwelling Older People in Xinjiang: A Cross-Sectional Study

Contact Info

Product

Resources

About