广东医学2024，Vol.45Issue(6)：712-716,5.DOI:10.13820/j.cnki.gdyx.20230443
脓毒症患者并发急性肾损伤的危险因素分析及Nomogram预测模型的构建
Analysis of risk factors for acute kidney injury in patients with sepsis and construction of a Nomogram predictive model
摘要
Abstract
Objective To analyze the risk factors for acute kidney injury(AKI)in patients with sepsis and con-struct a Nomogram predictive model.Methods A total of 180 patients with sepsis from March 2020 to September 2022 were selected as the research subjects and divided into an AKI group(n=75)and a non-AKI group(n=105)based on the presence of AKI.The predictive value of continuous variables was analyzed by ROC experiments,and logistic regres-sion was used to analyze the risk factors for AKI in patients with sepsis.The clinical efficacy of the Nomogram model was validated using internal data.Results There were no statistically significant differences in general data between the two groups(P＞0.05).Compared with the non-AKI group,the AKI group had a higher proportion of males,more cases of pulmonary infection,lower mean arterial pressure(MAP),higher levels of lactate,white blood cell count,and multiple organ dysfunction syndrome(MODS)score(P＜0.05).The AUC values for MAP,lactate,procalcitonin,white blood cell count,and MODS score were 0.823,0.921,0.663,0.948,and 0.946,respectively.Male gender,pulmonary in-fection,MAP(≤89 mmHg),lactate(＞2.13 mmol/L),white blood cell count(＞15 × 109·L-1),and MODS score(＞6 points)were all risk factors for AKI in patients with sepsis(P＜0.05).The C-index for predicting the risk of AKI in patients with sepsis using the Nomogram model was 0.763(95％CI:0.651-0.832).Conclusion Male gender,pulmonary infection,low MAP,high lactate,elevated white blood cell count,and increased MODS score are risk factors for AKI in patients with sepsis.The nomogram model constructed based on these variables can effectively predict the oc-currence of AKI in patients with sepsis.关键词
脓毒症/急性肾损伤/危险因素/Nomogram预测模型Key words
sepsis/acute kidney injury/risk factors/Nomogram prediction model分类
医药卫生引用本文复制引用
敖雪,邓超,侯宇,吴生赞..脓毒症患者并发急性肾损伤的危险因素分析及Nomogram预测模型的构建[J].广东医学,2024,45(6):712-716,5.基金项目
海南省自然科学基金面上项目(819MS139) （819MS139）
海南省卫生计生行业科研项目(18A200087) （18A200087）
海南省卫生健康行业科研项目(21A200058) （21A200058）
