A Prognostic Enrichment Strategy for Selection of Patients With Acute Respiratory Distress Syndrome in Clinical Trials. Issue 3 (March 2019)
- Record Type:
- Journal Article
- Title:
- A Prognostic Enrichment Strategy for Selection of Patients With Acute Respiratory Distress Syndrome in Clinical Trials. Issue 3 (March 2019)
- Main Title:
- A Prognostic Enrichment Strategy for Selection of Patients With Acute Respiratory Distress Syndrome in Clinical Trials
- Authors:
- Villar, Jesús
Ambrós, Alfonso
Mosteiro, Fernando
Martínez, Domingo
Fernández, Lorena
Ferrando, Carlos
Carriedo, Demetrio
Soler, Juan A.
Parrilla, Dácil
Hernández, Mónica
Andaluz-Ojeda, David
Añón, José M.
Vidal, Anxela
González-Higueras, Elena
Martín-Rodríguez, Carmen
Díaz-Lamas, Ana M.
Blanco, Jesús
Belda, Javier
Díaz-Domínguez, Francisco J.
Rico-Feijoó, Jesús
Martín-Delgado, Carmen
Romera, Miguel A.
González-Martín, Jesús M.
Fernández, Rosa L.
Kacmarek, Robert M. - Abstract:
- Abstract : Objectives: Incomplete or ambiguous evidence for identifying high-risk patients with acute respiratory distress syndrome for enrollment into randomized controlled trials has come at the cost of an unreasonable number of negative trials. We examined a set of selected variables early in acute respiratory distress syndrome to determine accurate prognostic predictors for selecting high-risk patients for randomized controlled trials. Design: A training and testing study using a secondary analysis of data from four prospective, multicenter, observational studies. Setting: A network of multidisciplinary ICUs. Patients: We studied 1, 200 patients with moderate-to-severe acute respiratory distress syndrome managed with lung-protective ventilation. Interventions: None. Measurements and Main Results: We evaluated different thresholds for patient's age, PaO2 /FIO2, plateau pressure, and number of extrapulmonary organ failures to predict ICU outcome at 24 hours of acute respiratory distress syndrome diagnosis. We generated 1, 000 random scenarios as training ( n = 900, 75% of population) and testing ( n = 300, 25% of population) datasets and averaged the logistic coefficients for each scenario. Thresholds for age (< 50, 50–70, > 70 yr), PaO2 /FIO2 (⩽ 100, 101–150, > 150 mm Hg), plateau pressure (< 29, 29–30, > 30 cm H2 O), and number of extrapulmonary organ failure (< 2, 2, > 2) stratified accurately acute respiratory distress syndrome patients into categories of risk. TheAbstract : Objectives: Incomplete or ambiguous evidence for identifying high-risk patients with acute respiratory distress syndrome for enrollment into randomized controlled trials has come at the cost of an unreasonable number of negative trials. We examined a set of selected variables early in acute respiratory distress syndrome to determine accurate prognostic predictors for selecting high-risk patients for randomized controlled trials. Design: A training and testing study using a secondary analysis of data from four prospective, multicenter, observational studies. Setting: A network of multidisciplinary ICUs. Patients: We studied 1, 200 patients with moderate-to-severe acute respiratory distress syndrome managed with lung-protective ventilation. Interventions: None. Measurements and Main Results: We evaluated different thresholds for patient's age, PaO2 /FIO2, plateau pressure, and number of extrapulmonary organ failures to predict ICU outcome at 24 hours of acute respiratory distress syndrome diagnosis. We generated 1, 000 random scenarios as training ( n = 900, 75% of population) and testing ( n = 300, 25% of population) datasets and averaged the logistic coefficients for each scenario. Thresholds for age (< 50, 50–70, > 70 yr), PaO2 /FIO2 (⩽ 100, 101–150, > 150 mm Hg), plateau pressure (< 29, 29–30, > 30 cm H2 O), and number of extrapulmonary organ failure (< 2, 2, > 2) stratified accurately acute respiratory distress syndrome patients into categories of risk. The model that included all four variables proved best to identify patients with the highest or lowest risk of death (area under the receiver operating characteristic curve, 0.86; 95% CI, 0.84–0.88). Decision tree analyses confirmed the accuracy and robustness of this enrichment model. Conclusions: Combined thresholds for patient's age, PaO2 /FIO2, plateau pressure, and extrapulmonary organ failure provides prognostic enrichment accuracy for stratifying and selecting acute respiratory distress syndrome patients for randomized controlled trials. Abstract : Supplemental Digital Content is available in the text. … (more)
- Is Part Of:
- Critical care medicine. Volume 47:Issue 3(2019)
- Journal:
- Critical care medicine
- Issue:
- Volume 47:Issue 3(2019)
- Issue Display:
- Volume 47, Issue 3 (2019)
- Year:
- 2019
- Volume:
- 47
- Issue:
- 3
- Issue Sort Value:
- 2019-0047-0003-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-03
- Subjects:
- acute respiratory distress syndrome -- decision tree analysis -- decision-making -- diagnostic accuracy -- outcome
Critical care medicine -- Periodicals
Soins intensifs -- Périodiques
616.028 - Journal URLs:
- http://journals.lww.com/ccmjournal/Pages/default.aspx ↗
http://journals.lww.com ↗ - DOI:
- 10.1097/CCM.0000000000003624 ↗
- Languages:
- English
- ISSNs:
- 0090-3493
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3487.451000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 11739.xml