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Prognosis predictive value of the Oxford Acute Severity of Illness Score for sepsis: a retrospective cohort study

机译:牛津急性严重程度的预后预测值败血症评分:回顾性队列研究

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摘要

Background The Oxford Acute Severity of Illness Score (OASIS) has shown fair prognosis predictive value in critically ill patients, but its predictive value has not been assessed in septic patients. Objective The aim of this study was to evaluate the performance of the OASIS for the assessment of mortality in septic patients, especially when compared with the Sepsis-related Organ Failure Assessment (SOFA) score. Methods A retrospective cohort study was conducted using data from a public database and septic patients were identified using the Sepsis-3 criteria. The primary outcome was hospital mortality. Data were mainly analyzed using multivariable logistic regression and receiver operating characteristic (ROC) curves. Sensitive analyses were performed in patients with an ICD-9-CM code for sepsis and ROC curves analyses were also conducted in septic patients stratified by the Simplified Acute Physiology Score (SAPS) II as subgroup analyses. Results A total of 10,305 septic patients were included. The OASIS was found to be significantly associated with hospital mortality (odds ratio 1.07 per one-point increase, 95% confidence interval [1.06–1.08]), while ROC curves analyses showed the discriminatory power of the OASIS for hospital mortality was statistically significantly lower than that of the SOFA score (area under the ROC curve: 0.652 vs 0.682, p < 0.001). Results of sensitive analyses were consistent, but the significant difference existed only when the SAPS II was higher than 50 according to results of the subgroup analyses. Conclusions The OASIS might serve as an initial predictor of clinical outcomes for septic patients, but one should be circumspect when it is applied to severer patients.
机译:背景技术疾病评分(OASIS)的牛津急性严重程度在危重病患者中表现出公平预后预测价值,但其预测值尚未在脓毒症患者中进行评估。客观本研究的目的是评估绿洲在脓毒症患者中评估死亡率的性能,特别是与败血症相关器官衰竭评估(沙发)得分相比。方法使用来自公共数据库的数据进行回顾性队列研究,并使用SEPSIS-3标准鉴定脓毒症患者。主要结果是医院死亡率。使用多变量逻辑回归和接收器操作特征(ROC)曲线分析数据。对患者进行敏感性分析,对败血症ICD-9-CM代码进行败血症和ROC曲线分析,其在被简化的急性生理学评分(SAPS)II分层的脓毒症患者中进行了分析。结果总共包括10,305名脓毒症患者。发现绿洲与医院死亡率显着相关(每一点增加的赔率比1.07,95%的置信区间[1.06-1.08]),而ROC曲线分析表明,随后的医院死亡率的绿洲的歧视力差异显着降低比沙发得分(ROC曲线下的面积:0.652 Vs 0.682,P <0.001)。敏感分析的结果是一致的,但仅当根据亚组分析结果的SAPS II高于50时,才存在显着差异。结论绿洲可能是脓毒症患者临床结果的初始预测因子,但是当它施用于患者时应该是谨慎的。

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