Objective To explore the risk factors of enteral feeding intolerance(EFI)in sepsis patients and to under-stand the occurrence of EFI in sepsis patients.To construct a risk prediction model for the occurrence of EFI in sepsis pa-tients to facilitate the screening of high-risk groups to prevent and control the occurrence of EFI.Methods Convenience sampling method was used to select sepsis patients admitted to the Department of Critical Care Medicine of a tertiary-level hospital in Xinjiang who underwent enteral nutrition therapy from January 2022 to June 2023 as study subjects and were divided into the feeding tolerance group and feeding intolerance group by whether or not EFI occurred in the patients,and a one-way analysis was carried out on the patients'general,clinical,and feeding intolerance-related data,and LASSO regression was applied to solve the covariance problem among variables,then the variables in the results of LASSO regres-sion analysis were included in logistic regression analysis to derive the risk factors for EFI in patients with sepsis,on the basis of which we constructed a prediction model for the risk of EFI in patients with sepsis,and plotted a Nomogram,ROC curve,decision curve analysis,and calibration curve to evaluate and validate the diagnostic efficacy of the predic-tion model.Results A total of 199 sepsis patients with enteral nutrition therapy were included,including 93 cases in the intolerant group and 106 cases in the tolerant group,and the incidence rate of EFI was 46.7％.Multifactorial analysis showed that sequential organ failure assessment(SOFA)score,nutritional risk screening(NRS-2002)score,analge-sics,and ICU length of stay were independent risk factors for the occurrence of EFI in patients with sepsis.The area un-der the ROC curve was 0.885(95％CI:0.833-0.933),and the maximal Youden index was 0.689,with a sensitivity of 0.849,and a specificity of 0.839.Conclusion SOFA score,NRS-2002 score,analgesics,and ICU length of stay are risk factors for EFI in septic patients.The risk prediction model constructed in this study based on this was validated and found to be a more accurate predictor of the risk of EFI in patients with sepsis,which can help clinical healthcare professionals provide scientific and individualized enteral nutrition therapy to patients.
关键词
脓毒症/肠内喂养不耐受/预测模型
Key words
Sepsis/Enteral feeding intolerance/Prediction model
维普
万方数据