2023
DOI: 10.1111/cns.14343
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Predictive value of the geriatric nutrition risk index for postoperative delirium in elderly patients undergoing cardiac surgery

Abstract: AimsThe aims of the study were to determine the relationship between preoperative geriatric nutritional risk index (GNRI) and the occurrence of postoperative delirium (POD) in elderly patients after cardiac surgery and to evaluate the additive value of GNRI for predicting POD.MethodsThe data were extracted from the Multiparameter Intelligent Monitoring in Intensive Care (MIMIC‐IV) database. Patients who underwent cardiac surgery and were aged 65 or older were included. The relationship between preoperative GNR… Show more

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Cited by 4 publications
(2 citation statements)
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“…It serves as an indicator that re ects both overall nutrition and the severity of underlying diseases. Given that the metabolic process of the elderly primarily involves catabolism, necessitating more proteins to compensate for tissue protein consumption 34 , the decline in serum albumin may indicate a potential in ammatory response in cardiovascular disease. In comparison to other nutritional indicators, GNRI is regarded as a more precise predictor of outcomes related to nutrition in the elderly population.…”
Section: Discussionmentioning
confidence: 99%
“…It serves as an indicator that re ects both overall nutrition and the severity of underlying diseases. Given that the metabolic process of the elderly primarily involves catabolism, necessitating more proteins to compensate for tissue protein consumption 34 , the decline in serum albumin may indicate a potential in ammatory response in cardiovascular disease. In comparison to other nutritional indicators, GNRI is regarded as a more precise predictor of outcomes related to nutrition in the elderly population.…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, a backward stepwise logistic regression approach (Model 5) was executed to procure the most parsimonious model, as indicated by the minimum Akaike Information Criterion (AIC) ( 16 ). The presence of collinearity among continuous variables was gauged using the variance inflation factor (VIF) ( 17 ), with any variable exhibiting a VIF exceeding 5 being excluded from the final model ( 18 ). Additionally, the relationship between LMR and delirium was graphically depicted using restricted cubic splines.…”
Section: Methodsmentioning
confidence: 99%