Construction of a nomogram prediction model for gastrointestinal dysfunction in patients treated with non-invasive positive pressure ventilation
Objective To explore the risk factors for gastrointestinal dysfunction in patients treated with non-inva-sive positive pressure ventilation(NIPPV),andconstruct a nomogram prediction model for gastrointestinal dysfunc-tion column chart,and verify its prediction effect.Methods A total of 368 patients hospitalized in the emergency ICU of our hospitalfrom January 2019 to January 2023 who received NIPPV treatmentwere retrospectively selected as the study objects,and randomly divided into a modeling group(258 cases)and a validation group(110 cases)according to the ratio of 7∶3.According to whether gastrointestinal disorders occurred during their ICU stay,the patients were divided into normal and disordered gastrointestinal function groups.Multi-factor logistic regression analysis was used to establish the nomogram prediction model of gastrointestinal dysfunction,and the model was internally valida-ted to evaluate its predictive efficacy.Results The prevalence of gastrointestinal dysfunction in patients treated with NIPPV was 30.16％,with bloating being the most common.The final predictor variables included in the model were age,diabetes,feeding,NIPPV mode,gastrin,albumin,and hypersensitive C-reactive protein.In the modeling group,the area under the receiver operating curve was 0.809,and with the corresponding prediction thresholds at 168 points,the sensitivity was 66.2％,and the specificitywas 80.7％,the result ofHosmer-Lemeshow test was x2=3.949,P=0.862.In the validation group,the area under the receiver operating curve was 0.817,the sensitivity was 67.6％,and the specificity was 86.8％,the result ofHosmer-Lemeshow test wasx2=7.092,P=0.527.The calibration curves all showed good discrimination and consistency.Conclusions The nomogram prediction model of gastrointestinal dysfunction in patients treated with NIPPV constructed in this study has high predictive efficacy,and can provide a basis for clinical ICU healthcare workers to identify high-riskpatients with gastrointestinal dysfunc-tion.
non-invasive positive pressure ventilationgastrointestinal dysfunctionnomogrampredic-tion model
万方数据
维普
