首页|基于机器学习构建成人脓毒性休克患者早期死亡风险模型NSOFA的研究

基于机器学习构建成人脓毒性休克患者早期死亡风险模型NSOFA的研究

Study on new sequential organ failure score model of early death risk in adult patients with septic shock based on machine learning

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目的 基于机器学习探讨成人脓毒性休克患者早期死亡的危险因素,构建风险预测模型并进行验证.方法 收集2020-09-01-2023-08-31复旦大学附属中山医院(厦门)重症医学科收治的成人脓毒性休克患者的临床资料,根据患者28 d临床转归分为生存组和死亡组,其中2020-09-01-2022-08-31的病例用于构建训练集,2022-09-01-2023-08-31的病例用于构建验证集.通过多因素二元logistic回归分析影响患者预后的独立危险因素,并构建死亡风险预测模型.采用受试者工作特征(ROC)曲线分析验证并评价模型的预测能力.结果 研究共纳入101例成人脓毒性休克患者(生存组75例、死亡组26例),多因素二元logistic分析表明序贯器官衰竭评分(SOFA)和中性粒细胞与淋巴细胞比值(NLR)是成人脓毒性休克患者28 d死亡的独立危险因素(P<0.05),并构建中性粒细胞与淋巴细胞比值序贯器官衰竭评分(NSOFA).对NSOFA评分进行内外部验证,其ROC曲线下面积(AUC)分别为0.94与0.90,总体模型质量值分别为0.88和0.79,模型质量良好(P<0.01).绘制NSOFA评分、NLR、SOFA评分和APACHE Ⅱ评分的ROC曲线并进行成对样本区域差异分析比较,NSOFA评分的AUC最大,为0.93,约登指数为0.77,截断值16.21,敏感度84.6%,特异度92.0%,优于其他评分系统(P<0.05).结论 SOFA评分、NLR是成人脓毒性休克患者28 d死亡的独立危险因素,且二者联合构建的NSOFA评分具有更高的预测效能,具有一定的临床应用价值.
Objective To investigate the risk factors of early death in adult patients with septic shock based on machine learning,build a risk prediction model and verify it.Methods The clinical data of adult patients with septic shock admitted to the critical care unit of Zhongshan Hospital(Xiamen)of Fudan University from September 1,2020 to August 31,2023 were collected.The patients were divided into survival group and death group according to their 28-day clinical outcomes.The cases of rom September 1,2020 to August 31,2022 were used to construct a training set,and the cases from September 1,2022 to August 31,2023 were used to construct a validation set.Multivariate binary logistic regression was used to analyze the independent risk factors affecting the prognosis of patients,and the prediction model of death risk was constructed.Receiver operating characteristic(ROC)curve analysis was used to verify and evaluate the predictive ability of the model.Results A total of 101 adult patients with septic shock were included in the study(75 patients in the survival group and 26 patients in the death group).Multivariate binary logistic analysis showed that Sequential Organ Failure Score(SOFA)and Neutrophil-to-Lymphocyte Ratio(NLR)were independent risk factors for 28-day death in adult patients with septic shock(P<0.05),and a new sequential organ failure score(NSOFA)was constructed.Internal and external verification of NSOFA scores showed that the area under ROC curve(AUC)was 0.94 and 0.90,and the overall model quality was 0.88 and 0.79,respectively,indicating good model quality(P<0.01).The receiver operating characteristic curves of NSOFA,NLR,SOFA score and APACHE Ⅱ score were drawn,and the pair-to-sample regional differences were analyzed and compared.The AUC of NSOFA was the largest,which was 0.93,the Jordon index was 0.77,the cut-off value was 16.21,the sensitivity was 84.6%,and the specificity was 92.0%,better than other scoring systems(P<0.05).Conclusion The SOFA score and NLR are independent risk factors for 28-day death in adult patients with septic shock,and the combined NSOFA score has higher predictive efficiency and has certain clinical application value.

sequential organ failure scoreneutrophil-to-lymphocyte ratioacute physiology and chronic health evaluation Ⅱseptic shockdeath

林小明、马杰飞、洪翔宇、黄挺、张连芳

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复旦大学附属中山医院(厦门)重症医学科,福建 厦门 361015

序贯器官衰竭评分 中性粒细胞与淋巴细胞比值 急性生理与慢性健康评分Ⅱ 脓毒性休克 死亡

2024

中国实用内科杂志
中国医师协会,中国实用医学杂志社

中国实用内科杂志

CSTPCD北大核心
影响因子:1.618
ISSN:1005-2194
年,卷(期):2024.44(12)