Abstract:
Objective
To investigate the incidence of enteral nutrition feeding intolerance(FI) in elderly critically ill patients,analyze its risk factors,and construct and validate a risk prediction nomogram.
Methods
Data of elderly critically ill patients admitted to the ICU of Jiangyin Clinical Medical College Affiliated to Jiangsu University between January and December 2023 were collected.Patients were divided into modeling and validation datasets.Univariate analysis and binary logistic regression were used to build the risk prediction model.The receiver operating characteristic (ROC) curve was employed to assess the model fit and determine the cut-off value.Sensitivity and specificity of the validation dataset were calculated.The R software "rms" package was applied to convert the prediction model formula into a nomogram.
Results
The modeling dataset included 316 patients,with an FI incidence of 42.4% (134/316).Among those FI patients,88.8% (119 /134) occurred FI within 1-5 days after initiating enteral nutrition.Binary logistic regression identified age [odds ratio (OR) = 1.107,95%confidence interval (CI) (1.073,1.141),P <0.001],acute physiology and chronic health evaluation(APACHE) II [OR = 1.056,95%CI (1.025,1.089),P <0.001],albumin [OR = 0.921,95%CI(0.874,0.971),P=0.002],and high positive end-expiratory pressure (PEEP) [OR = 3.366,95%CI(1.752,6.466),P <0.001] as independent risk factors for FI during enteral nutrition in elderly critically ill patients.The prediction model formula was as follows: Z = -6.692 + 0.102 × age +0.055×APACHE II score-0.082×albumin+1.214×high PEEP (0,1).Internal validation showed an area under the curve (AUC) of 0.884,sensitivity of 92.0%,and specificity of 54.4%.External validation yielded an AUC of 0.757,sensitivity of 78.1%,and specificity of 75.6%.
Conclusions
The incidence of FI in elderly critically ill patients is high.The constructed nomogram demonstrates strong predictive performance for FI,aiding clinicians in risk assessment and prognosis improvement during enteral nutrition.
Key words:
Elderly critically ill patients,
Early enteral nutrition,
Feeding intolerance,
Risk factor analysis,
Risk prediction nomogram
Xia Xu, Jiamin Hu, Liping Huang, Long Cheng, Shuliu Zhang, Weiwei Zhao, Panpan Gu, Cheng Cao. Current status of early enteral nutrition feeding intolerance in elderly critically ill patients and the construction and validation of a risk prediction nomogram[J]. Chinese Journal of Critical Care Medicine(Electronic Edition), 2025, 18(01): 11-17.