6533b7ddfe1ef96bd127497e
RESEARCH PRODUCT
Stratification for Identification of Prognostic Categories In the Acute RESpiratory Distress Syndrome (SPIRES) Score.
J.m. AñónCristina FernándezJesús M González-martínMarina SoroM.m. FernándezAlfonso AmbrósRafael Del CampoRosario SolanoCarlos FerrandoDomingo MartínezStratification Spanish Initiative For EpidemiologyBelén CivantosLaura ParraRobert M. KacmarekLidia Pita-garcíaRaúl I. González-luengoRaquel MontielLorena FernándezJuan A SolerFrancisco J Díaz-domínguezAnxela VidalEwout W. SteyerbergFernando MosteiroRosa Lidia FernándezPedro Rodríguez-suárezJesús VillarJuan M. Mora-ordoñezsubject
AdultMalemedicine.medical_specialtyOrgan Dysfunction ScoresPsychological interventionMEDLINECritical Care and Intensive Care MedicineLogistic regressionSeverity of Illness IndexstratificationInternal medicinemedicineHumansProspective StudiesCause of deathAPACHEclinical trialsRespiratory Distress SyndromeReceiver operating characteristicbusiness.industryphenotypesscoring systemacute respiratory distress syndromeMiddle AgedPrognosisRespiration ArtificialIntensive Care UnitsROC CurveSpainArea Under CurveCohortBreathingoutcomeObservational studyFemalebusinessdescription
OBJECTIVES: 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. DESIGN: A development and validation study using clinical data from four prospective, multicenter, observational cohorts. SETTING: A network of multidisciplinary ICUs. PATIENTS: One-thousand three-hundred one patients with moderate-to-severe acute respiratory distress syndrome managed with lung-protective ventilation. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: 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 Pao2to Fio2assessed 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 Pao2to Fio2at acute respiratory distress syndrome onset or at 24 hours, Acute Physiology and Chronic Health Evaluation II score, or Sequential Organ Failure Assessment scale. CONCLUSIONS: 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.
year | journal | country | edition | language |
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2021-10-01 | Critical care medicine |