Impact of early protein provision on the mortality of acute critically ill stroke patients

2021 ◽  
Author(s):  
Dongmei Wang ◽  
Zhenzhou Lin ◽  
Ling Xie ◽  
Kaibin Huang ◽  
Zhong Ji ◽  
...  
Keyword(s):  
Critically Ill ◽  
Stroke Patients ◽  
Early Protein

scholarly journals THE CORRELATION BETWEEN EARLY PROTEIN DENSITY PROVISION AND 28-DAY OVERALL MORTALITY IN CRITICALLY ILL PATIENTS WHO ARE TAKING STANDARD ENTERAL NUTRITIONAL FORMULAS

2018 ◽  
Vol 5 (4) ◽  
pp. 1710-1717
Author(s):  
Hakeem Marwan Khattar Alobeidullah ◽  
◽  
Sahar Mohammad Abd Alrahman Jdaitawi ◽  
Rania Mahmood Mohammad Abu Saleh ◽  
Hanan Farhan Eyadeh Almasarweh ◽  
...  
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Early Protein ◽  
Protein Density ◽  
Overall Mortality

scholarly journals Extubation Readiness in Critically Ill Stroke Patients

Stroke ◽  
2019 ◽  
Vol 50 (8) ◽  
pp. 1981-1988 ◽  
Author(s):  
Sonja Suntrup-Krueger ◽  
Sarah Schmidt ◽  
Tobias Warnecke ◽  
Corinna Steidl ◽  
Paul Muhle ◽  
...  
Keyword(s):  
Critically Ill ◽  
Stroke Patients

Ventilator-associated pneumonia in critically ill stroke patients: Frequency, risk factors, and outcomes

2011 ◽  
Vol 26 (3) ◽  
pp. 273-279 ◽  
Author(s):  
Yusuke Kasuya ◽  
James L. Hargett ◽  
Rainer Lenhardt ◽  
Michael F. Heine ◽  
Anthony G. Doufas ◽  
...  
Keyword(s):  
Risk Factors ◽  
Critically Ill ◽  
Ventilator Associated Pneumonia ◽  
Stroke Patients

471: EARLY PROTEIN INTAKE IN CRITICALLY ILL TRAUMA PATIENTS MAY AFFECT CLINICALLY IMPORTANT OUTCOMES

2020 ◽  
Vol 48 (1) ◽  
pp. 216-216
Author(s):  
Eugenia Lee ◽  
Saskya Byerly ◽  
Georgia Vasileiou ◽  
Alejandro Mantero ◽  
Gerd Pust ◽  
...  
Keyword(s):  
Critically Ill ◽  
Protein Intake ◽  
Trauma Patients ◽  
Early Protein

scholarly journals Association of Renal Biomarkers with 3-Month and 1-Year Outcomes among Critically Ill Acute Stroke Patients

PLoS ONE ◽  
2013 ◽  
Vol 8 (9) ◽  
pp. e72971 ◽  
Author(s):  
Ying-Chih Huang ◽  
Yi-Ling Wu ◽  
Ming-Hsueh Lee ◽  
Jiann-Der Lee ◽  
Chih-Ying Wu ◽  
...  
Keyword(s):  
Acute Stroke ◽  
Critically Ill ◽  
Stroke Patients ◽  
Renal Biomarkers

scholarly journals Prognostic nutrition index predicts outcomes in critically ill stroke patients: a database-based cohort study

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
B Zhang ◽  
Q Zhu ◽  
Z Lu
Keyword(s):  
Critically Ill ◽  
Lymphocyte Count ◽  
Medical Information ◽  
Cox Regression ◽  
Medical Center ◽  
Prognostic Nutritional Index ◽  
Stroke Patients ◽  
Cox Regression Analysis ◽  
Funding Sources ◽  
The Impact

Abstract Background Although there are many indicators to assess nutritional status, a more comprehensive and objective indicator is still needed in clinical practice. In this study, we evaluated the relationship between the prognostic nutritional index (PNI) and clinical outcomes in patients with critically ill stroke. Methods Subjects who were diagnosed as stroke in the Beth Israel Deaconess Medical Center between 2001 and 2012 were identified from the Medical Information Mart for Intensive Care (MIMIC) III database. PNI was calculated as 10 × serum albumin (g/dL) + 0.005 × total lymphocyte count (per mm3). The multivariate logistic regression and the Cox regression analysis were performed to assess the impact of PNI on 3-month and 4-year mortality in stroke patients. Results A total of 624 subjects were included in this study. Compared with the high-PNI group, those in the Low PNI group had lower body mass index (BMI), hemoglobin, neutrophil count, lymphocyte count and albumin. On the contrary, Age, Blood urea nitrogen (BUN), Creatinine (Cre), simplified acute physiologic scoreII (SAPSII) score and sequential organ failure assessment (SOFA) score of the low PNI group were higher than the high PNI group. After adjusting for other confounders, PNI was independently associated with 3-month mortality (adjusted odds ratio = 1.910; 95% confidence interval, 1.244–2.933; P=0.003). By the Kaplan-Meier analysis, patients in the low PNI group presented significantly shorter survival time and higher death rate. The Cox regression model indicated low PNI as an independent risk factor of 4-year all-cause mortality of stroke patients (hazard ratio = 1.824; 95% CI, 1.340–2.483; P<0.001). Conclusions Low PNI is independently associated with short-term and long-term prognosis in patients with critically ill stroke. FUNDunding Acknowledgement Type of funding sources: None.

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