Evidence map›Paper›PMID 31039662›Full record

ArticleJournal of the American Heart Association2019

RACHS - ANZ : A Modified Risk Adjustment in Congenital Heart Surgery Model for Outcome Surveillance in Australia and New Zealand.

Brent McSharry, Lahn Straney, Janet Alexander, Tom Gentles, David Winlaw, John Beca, Johnny Millar, Frank Shann, Barry Wilkins, Andrew Numa and 4 more

Open access · goldAbstract readMulticenter StudyValidation Study
In one paragraph

Article in Journal of the American Heart Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. The Australian and New Zealand Intensive Care Society Paediatric Study Group (ANZICS PSG): 20 Years of Collaborative Research.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 8 institutions in 2 countries.

Brent McSharry1 Paediatric Intensive Care Unit Starship Children's Hospital Auckland New Zealand.
Lahn Straney3 Department of Epidemiology and Preventive Medicine Monash University Melbourne Australia.
Janet Alexander4 Australian and New Zealand Intensive Care Society Melbourne Australia.
Tom Gentles2 Green Lane Paediatric and Congenital Cardiac Service Starship Children's Hospital Auckland New Zealand.
David Winlaw5 Heart Centre for Children The Children's Hospital Westmead Sydney Australia.
John Beca1 Paediatric Intensive Care Unit Starship Children's Hospital Auckland New Zealand.
Johnny Millar8 Intensive Care Unit Royal Children's Hospital Melbourne Australia.
Frank Shann8 Intensive Care Unit Royal Children's Hospital Melbourne Australia.
Barry Wilkins6 Paediatric Intensive Care Unit The Children's Hospital Westmead Sydney Australia.
Andrew Numa10 Paediatric Intensive Care Unit Sydney Children's Hospital Sydney Australia.
Christian Stocker11 Paediatric Intensive Care Unit Queensland Children's Hospital Brisbane Australia.
Simon Erickson12 Paediatric Intensive Care Unit Perth Children's Hospital Perth Australia.
Anthony Slater11 Paediatric Intensive Care Unit Queensland Children's Hospital Brisbane Australia.
Australian and New Zealand Intensive Care Society Paediatric Study Group and Centre for Outcomes and Resource Evaluation
Starship Children's Health · NZChildren's Hospital at Westmead · AUQueensland Children’s Hospital · AURoyal Children's Hospital · AUAustralian and New Zealand Intensive Care Society · AUMonash University · AUPerth Children's HospitalSydney Children's Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Outcomes for pediatric cardiac surgery are commonly reported from international databases compiled from voluntary data submissions. Surgical outcomes for all children in a country or region are less commonly reported. We aimed to describe the bi-national population-based outcome for children undergoing cardiac surgery in Australia and New Zealand and determine whether the Risk Adjustment for Congenital Heart Surgery ( RACHS ) classification could be used to create a model that accurately predicts in-hospital mortality in this population. Methods and Results The study was conducted in all children's hospitals performing cardiac surgery in Australia and New Zealand between January 2007 and December 2015. The performance of the original RACHS -1 model was assessed and compared with an alternative RACHS - ANZ (Australia and New Zealand) model, developed balancing discrimination with parsimonious variable selection. A total of 14 324 hospital admissions were analyzed. The overall hospital mortality was 2.3%, ranging from 0.5% for RACHS category 1 procedures, to 17.0% for RACHS category 5 or 6 procedures. The original RACHS -1 model was poorly calibrated with death overpredicted (1161 deaths predicted, 289 deaths observed). The RACHS - ANZ model had better performance in this population with excellent discrimination (Az- ROC of 0.830) and acceptable Hosmer and Lemeshow goodness-of-fit ( P=0.216). Conclusions The original RACHS -1 model overpredicts mortality in children undergoing heart surgery in the current era. The RACHS - ANZ model requires only 3 risk variables in addition to the RACHS procedure category, can be applied to a wider range of patients than RACHS -1, and is suitable to use to monitor regional pediatric cardiac surgery outcomes.

Indexed as

Hospital MortalityOutcome and Process Assessment, Health CareAge FactorsAustraliaBenchmarkingCardiac Surgical ProceduresHeart Defects, CongenitalHumansNew ZealandPredictive Value of TestsQuality Indicators, Health CareRegistriesReproducibility of ResultsRisk AssessmentRisk FactorsTime Factorscardiac surgerycongenital heart diseaseoutcome and process assessmentpediatricrisk model

Identifiers

PMID31039662
PMCPMC6512128
OpenAlexW2942728546

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.