Literature DB >> 20581732

Performance of the Pediatric Index of Mortality 2 for pediatric cardiac surgery patients.

Angela S Czaja1, Matthew C Scanlon, Evelyn M Kuhn, Howard E Jeffries.   

Abstract

OBJECTIVE: To evaluate the performance of the Pediatric Index of Mortality 2 (PIM-2) for pediatric cardiac surgery patients admitted to the pediatric intensive care unit (PICU).
DESIGN: : Retrospective cohort analysis.
SETTING: Multi-institutional PICUs. PATIENTS: Children whose PICU admission had an associated cardiac surgical procedure.
INTERVENTIONS: None.
MEASUREMENTS AND MAIN RESULTS: Performance of the PIM-2 was evaluated with both discrimination and calibration measures. Discrimination was assessed with a receiver operating characteristic curve and associated area under the curve measurement. Calibration was measured across defined groups based on mortality risk, using the Hosmer-Lemeshow goodness-of-fit test. Analyses were performed initially, using the entire cohort, and then based on operative status (perioperative defined as procedure occurring within 24 hrs of PICU admission and preoperative as occurring >24 hrs from the time of PICU admission). A total of 9,208 patients were identified as cardiac surgery patients with 8,391 (91%) considered as perioperative. Average age of the entire cohort was 3.3 yrs (median, 10 mos, 0-18 yrs), although preoperative children tended to be younger (median, <1 month). Preoperative patients also had longer PICU median lengths of stay than perioperative patients (12 days [1-375 days] vs. 3 days [1-369 days], respectively). For the entire cohort, the PIM-2 had fair discrimination power (area under the curve, 0.80; 95% confidence interval, 0.77-0.83) and poor calibration (p < .0001). Its predictive ability was similarly inadequate for quality assessment (standardized mortality ratio, 0.81; 95% confidence interval, 0.72-0.90) with significant overprediction in the highest-decile risk group. For the subpopulations, the model continued to perform poorly with low area under the curves for preoperative patients and poor calibration for both groups. PIM-2 tended to overpredict mortality for perioperative patients and underpredict for preoperative patients (standardized mortality ratios, 0.69 [95% confidence interval, 0.59-0.78] and 1.48 [95% confidence interval, 1.27-1.70], respectively).
CONCLUSIONS: The PIM-2 demonstrated poor performance with fair discrimination, poor calibration, and predictive ability for pediatric cardiac surgery population and thus cannot be recommended in its current form as an adequate adjustment tool for quality measurement in this patient group.

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Year:  2011        PMID: 20581732     DOI: 10.1097/PCC.0b013e3181e89694

Source DB:  PubMed          Journal:  Pediatr Crit Care Med        ISSN: 1529-7535            Impact factor:   3.624


  16 in total

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Authors:  Idse H E Visser; Jan A Hazelzet; Marcel J I J Albers; Carin W M Verlaat; Karin Hogenbirk; Job B van Woensel; Marc van Heerde; Dick A van Waardenburg; Nicolaas J G Jansen; Ewout W Steyerberg
Journal:  Intensive Care Med       Date:  2013-02-22       Impact factor: 17.440

3.  Intensive Care Mortality Prognostic Model for Pediatric Pulmonary Hypertension.

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4.  Collaborative quality improvement in the cardiac intensive care unit: development of the Paediatric Cardiac Critical Care Consortium (PC4).

Authors:  Michael Gaies; David S Cooper; Sarah Tabbutt; Steven M Schwartz; Nancy Ghanayem; Nikhil K Chanani; John M Costello; Ravi R Thiagarajan; Peter C Laussen; Lara S Shekerdemian; Janet E Donohue; Gina M Willis; J William Gaynor; Jeffrey P Jacobs; Richard G Ohye; John R Charpie; Sara K Pasquali; Mark A Scheurer
Journal:  Cardiol Young       Date:  2014-08-28       Impact factor: 1.093

5.  Variation in Adjusted Mortality for Medical Admissions to Pediatric Cardiac ICUs.

Authors:  Michael Gaies; Nancy S Ghanayem; Jeffrey A Alten; John M Costello; Javier J Lasa; Nikhil K Chanani; Andrew Y Shin; Lauren Retzloff; Wenying Zhang; Sara K Pasquali; Mousumi Banerjee; Sarah Tabbutt
Journal:  Pediatr Crit Care Med       Date:  2019-02       Impact factor: 3.624

6.  The author replies.

Authors:  Murray M Pollack
Journal:  Pediatr Crit Care Med       Date:  2013-11       Impact factor: 3.624

7.  Morbidity and mortality prediction in pediatric heart surgery: Physiological profiles and surgical complexity.

Authors:  John T Berger; Richard Holubkov; Ron Reeder; David L Wessel; Kathleen Meert; Robert A Berg; Michael J Bell; Robert Tamburro; J Michael Dean; Murray M Pollack
Journal:  J Thorac Cardiovasc Surg       Date:  2017-02-10       Impact factor: 5.209

8.  The ideal time interval for critical care severity-of-illness assessment.

Authors:  Murray M Pollack; J Michael Dean; Jerry Butler; Richard Holubkov; Allan Doctor; Kathleen L Meert; Christopher J L Newth; Robert A Berg; Frank Moler; Heidi Dalton; David L Wessel; John Berger; Rick E Harrison; Joseph A Carcillo; Thomas P Shanley; Carol E Nicholson
Journal:  Pediatr Crit Care Med       Date:  2013-06       Impact factor: 3.624

9.  Comparison of Performance of the Pediatric Index of Mortality (PIM)-2 and PIM-3 Scores in the Pediatric Intensive Care Unit of a High Complexity Institution.

Authors:  Deyanira Quiñónez-López; Daniela Patino-Hernandez; César A Zuluaga; Ángel A García; Oscar M Muñoz-Velandia
Journal:  Indian J Crit Care Med       Date:  2020-11

10.  Performance of the pediatric index of mortality 2 (PIM-2) in cardiac and mixed intensive care units in a tertiary children's referral hospital in Italy.

Authors:  Marta Luisa Ciofi degli Atti; Marina Cuttini; Lucilla Ravà; Silvia Rinaldi; Carla Brusco; Paola Cogo; Nicola Pirozzi; Sergio Picardo; Franco Schiavi; Massimiliano Raponi
Journal:  BMC Pediatr       Date:  2013-06-25       Impact factor: 2.125

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