CIBER de Enfermedades Respiratorias, Instituto Salud Carlos III, Madrid, Spain.
Research Unit, Hospital Universitario Dr. Negrín, Las Palmas de Gran Canaria, Spain.
Crit Care Med. 2021 Oct 1;49(10):e920-e930. doi: 10.1097/CCM.0000000000005142.
To develop a scoring model for stratifying patients with acute respiratory distress syndrome into risk categories (Stratification for identification of Prognostic categories In the acute RESpiratory distress syndrome score) for early prediction of death in the ICU, independent of the underlying disease and cause of death.
A development and validation study using clinical data from four prospective, multicenter, observational cohorts.
A network of multidisciplinary ICUs.
One-thousand three-hundred one patients with moderate-to-severe acute respiratory distress syndrome managed with lung-protective ventilation.
None.
The study followed Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis guidelines for prediction models. We performed logistic regression analysis, bootstrapping, and internal-external validation of prediction models with variables collected within 24 hours of acute respiratory distress syndrome diagnosis in 1,000 patients for model development. Primary outcome was ICU death. The Stratification for identification of Prognostic categories In the acute RESpiratory distress syndrome score was based on patient's age, number of extrapulmonary organ failures, values of end-inspiratory plateau pressure, and ratio of Pao2 to Fio2 assessed at 24 hours of acute respiratory distress syndrome diagnosis. The pooled area under the receiver operating characteristic curve across internal-external validations was 0.860 (95% CI, 0.831-0.890). External validation in a new cohort of 301 acute respiratory distress syndrome patients confirmed the accuracy and robustness of the scoring model (area under the receiver operating characteristic curve = 0.870; 95% CI, 0.829-0.911). The Stratification for identification of Prognostic categories In the acute RESpiratory distress syndrome score stratified patients in three distinct prognostic classes and achieved better prediction of ICU death than ratio of Pao2 to Fio2 at acute respiratory distress syndrome onset or at 24 hours, Acute Physiology and Chronic Health Evaluation II score, or Sequential Organ Failure Assessment scale.
The Stratification for identification of Prognostic categories In the acute RESpiratory distress syndrome score represents a novel strategy for early stratification of acute respiratory distress syndrome patients into prognostic categories and for selecting patients for therapeutic trials.
开发一种评分模型,对急性呼吸窘迫综合征患者进行风险分层(急性呼吸窘迫综合征预后分类评分),以便在 ICU 中对死亡进行早期预测,该模型独立于基础疾病和死亡原因。
使用来自四个前瞻性、多中心、观察性队列的临床数据进行开发和验证研究。
多学科 ICU 网络。
1301 例接受肺保护性通气治疗的中重度急性呼吸窘迫综合征患者。
无。
该研究遵循了预测模型的个体预后或诊断的透明报告多变量预测模型指南。我们对 1000 例患者在急性呼吸窘迫综合征诊断后 24 小时内收集的变量进行了逻辑回归分析、引导和内部-外部验证,以开发模型。主要结局是 ICU 死亡。急性呼吸窘迫综合征预后分类评分基于患者年龄、肺外器官衰竭数、吸气末平台压值和急性呼吸窘迫综合征诊断后 24 小时时 PaO2/Fio2 比值。内部-外部验证中汇总的受试者工作特征曲线下面积为 0.860(95%CI,0.831-0.890)。在 301 例新的急性呼吸窘迫综合征患者的外部验证中,该评分模型的准确性和稳健性得到了证实(受试者工作特征曲线下面积=0.870;95%CI,0.829-0.911)。急性呼吸窘迫综合征预后分类评分将患者分为三个不同的预后类别,在 ICU 死亡预测方面优于急性呼吸窘迫综合征发病时或 24 小时时的 PaO2/Fio2 比值、急性生理学和慢性健康评估 II 评分或序贯器官衰竭评估评分。
急性呼吸窘迫综合征预后分类评分是一种早期对急性呼吸窘迫综合征患者进行预后分层和选择患者进行治疗试验的新策略。