Literature DB >> 29746311

Evaluating Mortality Risk Adjustment Among Children Receiving Extracorporeal Support for Respiratory Failure.

Ryan P Barbaro1,2, Philip S Boonstra3, Kevin W Kuo4, David T Selewski5, David K Bailly6, Cheryl L Stone7, Chin Ying Chow8, Gail M Annich9, Frank W Moler1, Matthew L Paden7.   

Abstract

This study evaluates whether three commonly used pediatric intensive care unit (PICU) severity of illness scores, pediatric risk of mortality score (PRISM) III, pediatric index of mortality (PIM) 2, and pediatric logistic organ dysfunction (PELOD), are the appropriate tools to discriminate mortality risk in children receiving extracorporeal membrane oxygenation (ECMO) support for respiratory failure. This study also evaluates the ability of the Pediatric Risk Estimate Score for Children Using Extracorporeal Respiratory Support (Ped-RESCUERS) to discriminate mortality risk in the same population, and whether Ped-RESCUERS' discrimination of mortality is improved by additional clinical and laboratory measures of renal, hepatic, neurologic, and hematologic dysfunction. A multi-institutional retrospective cohort study was conducted on children aged 29 days to 17 years with respiratory failure requiring respiratory ECMO support. Discrimination of mortality was evaluated with the area under the receiver operating curve (AUC); model calibration was measured by the Hosmer-Lemeshow goodness of fit test and Brier score. Admission PRISM-III, PIM-2, and PELOD were found to have poor ability to discriminate mortality with an AUC of 0.56 [0.46-0.66], 0.53 [0.43-0.62], and 0.57 [0.47-0.67], respectively. Alternatively, Ped-RESCUERS performed better with an AUC of 0.68 [0.59-0.77]. Higher alanine aminotransferase, ratio of the arterial partial pressure of oxygen the fraction of inspired oxygen, and lactic acidosis were independently associated with mortality and, when added to Ped-RESCUERS, resulted in an AUC of 0.75 [0.66-0.82]. Admission PRISM-III, PIM-2, and PELOD should not be used for pre-ECMO risk adjustment because they do not discriminate death. Extracorporeal membrane oxygenation population-derived scores should be used to risk adjust ECMO populations as opposed to general PICU population-derived scores.

Entities:  

Mesh:

Year:  2019        PMID: 29746311     DOI: 10.1097/MAT.0000000000000813

Source DB:  PubMed          Journal:  ASAIO J        ISSN: 1058-2916            Impact factor:   2.872


  7 in total

1.  Default Priors for the Intercept Parameter in Logistic Regressions.

Authors:  Philip S Boonstra; Ryan P Barbaro; Ananda Sen
Journal:  Comput Stat Data Anal       Date:  2018-11-05       Impact factor: 1.681

2.  Outcomes Associated With Early RBC Transfusion in Pediatric Severe Sepsis: A Propensity-Adjusted Multicenter Cohort Study.

Authors:  Jennifer A Muszynski; Russell Banks; Ron W Reeder; Mark W Hall; Robert A Berg; Athena Zuppa; Thomas P Shanley; Timothy T Cornell; Christopher J L Newth; Murray M Pollack; David Wessel; Allan Doctor; John C Lin; Rick E Harrison; Kathleen L Meert; J Michael Dean; Richard Holubkov; Joseph A Carcillo
Journal:  Shock       Date:  2022-01-01       Impact factor: 3.533

3.  External validation of the Pediatric Extracorporeal Membrane Oxygenation Prediction model for risk adjusting mortality.

Authors:  David K Bailly; Jamie M Furlong-Dillard; Melissa Winder; Mark Lavering; Ryan P Barbaro; Kathleen L Meert; Susan L Bratton; Heidi Dalton; Ron W Reeder
Journal:  Perfusion       Date:  2020-08-29       Impact factor: 1.972

Review 4.  Bridging the Gap Between Intensivists and Primary Care Clinicians in Extracorporeal Membrane Oxygenation for Respiratory Failure in Children: A Review.

Authors:  Ryan P Barbaro; Daniel Brodie; Graeme MacLaren
Journal:  JAMA Pediatr       Date:  2021-05-01       Impact factor: 16.193

5.  Evaluating When to Transport a Child for Extracorporeal Membrane Oxygenation.

Authors:  Ryan P Barbaro; Giles J Peek; Graeme MacLaren
Journal:  Pediatr Crit Care Med       Date:  2020-11       Impact factor: 3.971

6.  Internal validation and evaluation of the predictive performance of models based on the PRISM-3 (Pediatric Risk of Mortality) and PIM-3 (Pediatric Index of Mortality) scoring systems for predicting mortality in Pediatric Intensive Care Units (PICUs).

Authors:  Zahra Rahmatinejad; Fatemeh Rahmatinejad; Majid Sezavar; Fariba Tohidinezhad; Ameen Abu-Hanna; Saeid Eslami
Journal:  BMC Pediatr       Date:  2022-04-12       Impact factor: 2.125

7.  Accounting for established predictors with the multistep elastic net.

Authors:  Elizabeth C Chase; Philip S Boonstra
Journal:  Stat Med       Date:  2019-07-17       Impact factor: 2.373

  7 in total

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