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Table 2 Characteristics of the populations included in the studies

From: Using artificial intelligence to predict post-operative outcomes in congenital heart surgeries: a systematic review

First author and year

Country

Source of data

Data range

Type of source

Population size

Train/Test Proportion

Gender (male)

Adult / Pediatric

Type of defect (procedure)

Crowe 2013 [27]

UK

Central Cardiac Audit Database

2000–2010

registry

37,044

2.5/1

training: 55%

testing: NP

Pediatric

Not specified

Zapata-Impata 2015 [28]

Spain

NP

NP

NP

2432

3/1

NP

Pediatric

Not specified

Moein 2015 [29]

USA

Pediatric Health Information System (PHIS) database

2009–2014

registry

1036

NP

NP

Pediatric

Limited pulmonary blood flow (Systemic-to-Pulmonary Artery shunt)

Ruiz-Fernández 2015 [30]

Colombia

Cardiovascular Foundation of Colombia

NP

local EMR

2432

9/1

NP

Pediatric

Not specified

Rogers 2017 [31]

UK

National Congenital Heart Disease Audit

2009–2014

registry

21,838

4/1

NP

Pediatric

Not specified

Jalali 2018 [32]

USA

Children’s Hospital of Philadelphia

NP

local EMR

71

1/6

47.89%

Pediatric

HLHS + non-HLHS

Luis Ahumadal 2018 [33]

USA

Pediatric Heart Networks Single Ventricle Reconstruction Trial

2005—2009

RCT

549

4/1

NP

Pediatric

HLHS (Norwood procedure)

Samad 2018 [34]

USA

Boston Children’s Hospital

2005–2012

local EMR

153

4/1

49.67%

Adult

Tetralogy of Fallot

Ruiz 2019 [35]

USA

University of Pittsburgh Medical Center Children’s Hospital of Pittsburgh

2014—2017

local EMR

93

9/1

NP

Pediatric

Single-ventricle physiology

Cocomello 2020 [36]

UK

National Congenital Heart Disease Audit (Bristol dataset)

2004–2009

2015–2019

registry

1st cohort: 1,352

2nd cohort:

1,197

NA

NP

Pediatric

Not specified

Chang Junior 2020 [37]

Brazil

ASSIST Registry (InCor’s heart surgery

program)

2014–2019

registry

2240

9/1

48.7%

Pediatric

Not specified

Huang 2020 [38]

China

Guangdong Provincial People’s Hospital

2009–2017

local EMR

96

3/1

64.6%

Both

Single ventricle defects (a bidirectional Glenn procedure)

Bender 2021 [39]

USA

Children’s Hospital of Philadelphia(CHOP)

NP

local EMR

56

2.12/1

NP

Pediatric

Not specified

Bertsimas 2021 [40]

USA

ECHSA Congenital Database

2000–2019

registry

221,335

3.8/1

55%

Both

Not specified

Faerber 2021 [41]

USA

Children’s Hospital of Philadelphia

2012–2018

cohort

162

4/1

63%

Pediatric

Tetralogy of Fallot

Rusin 2021 [42]

USA

Texas Children’s Hospital

2013–2019

local EMR

238

1/1

39.08%

Pediatric

Single-ventricle physiology

Ng 2022 [43]

China

Guangdong Provincial People's Hospital

NP

NP

58

8/2

NP

Pediatric

Complex CHD

Zeng 2021 [44]

China

Children’s Hospital of Zhejiang University

2015–2018

local EMR

1964

7/3

48.77%

Pediatric

CHD

Thiriveedi 2021 [45]

USA

Johns Hopkins Hospital

NP

Cohort

162

NP

NP

Pediatric

Not specified

Jalali 2021 [46]

USA

Pediatric Heart Network Single Ventricle Reconstruction trial

2005–2009

Cohort

549

7/3

NP

Pediatric

Single ventricle disease (Norwood procedure)

Bertsimas 2022 [47]

USA

European Congenital Heart Surgeons Association (ECHSA) Congenital Database (ECCDB; 64 hospitals)

2010–2019

registry

31,792

2.8/1

NP

Both

Not specified

Du 2022 [48]

China

Shanghai Children’s Medical Center

2006–2017

local EMR

24,685

7.5/2.5

57.59%

Pediatric

Not specified

Ekhomu 2022 [49]

USA

Retrospective cohort study

2012–2017

Cohort

153

7/3

62%

Pediatric

Tetralogy of Fallot

Shi 2022 [50]

China

Guangzhou Women and Children's Medical Center in China (registration number: NCT03626480)

2017–2020

Cohort

MDS: 536

EVS: 186

4/1

59.70%

Pediatric

Not specified

Pei 2022 [51]

China

Shanghai Children’s Medical Center (SCMC) and Guangdong’s Provincial

People’s Hospital (GPPH)

NP

local EMR

83

1.86/1

NP

Pediatric

Total anomalous pulmonary venous connection

Sunthankar 2023 [52]

USA

National Pediatric Cardiology Quality Improvement Collaborative (NPC-QIC) registry

2008–2019

registry

3267

4/1

62%

Pediatric

Single ventricle disease

Betts 2023 [53]

ANZ

Australia New Zealand Congenital Outcomes Registry for Surgery

2013–2022

registry

14,343

4/1

56.30%

Pediatric

Not specified

Zürn 2023 [54]

Germany

Departments of paediatric cardiology and cardiac surgery in Freiburg (train set) and Heidelberg (test set)

2014–2019

local EMR

MDS: 780

EVS: 985

1/1.26

NP

Pediatric

Not specified

Jiwani 2023 [55]

USA

NP

NP

NP

NP

NP

NP

NP

Not specified

Kong 2023 [56]

China

Children’s Hospital of Chongqing Medical University

2002–2020

cohort

134

4/1

67.91%

Pediatric

Congenital malformations of the aorta

Sarris 2024 [57]

EU

ECCDB

1989–2022

registry

172,888

7/3

NP

NP

Not specified

Chang junior 2024 [58]

Brazil

ASSIST Registry

2014–2018

registry

1642

9/1

NP

NP

Not specified

Li 2024 [59]

China

Children’s Hospital, Zhejiang University

2016–2021

local EMR

5030

18.6/1

training: 48.9%

testing: 43.4%

Both

Not specified

Smith 2024 [60]

USA

Single Ventricle Reconstruction Extension Study

2005–2009

cohort

549

4/1

NP

Pediatric

Hypoplastic left heart syndrome

Tong 2024 [61]

China

Shanghai Children’s Medical Center

2014–2021

cohort

23,000

3.1/2

training: 54.9%

testing: 52.5%

Pediatric

Not specified

  1. Abbreviations: EMR Electronic medical record, PHIS Pediatric Health Information System, CHOP Children’s Hospital of Philadelphia, ECHSA European Congenital Heart Surgeons Association, ECCDB ECHSA Congenital Database, SCMC Shanghai Children’s Medical Center, GPPH Guangdong’s Provincial People’s Hospital, NP not provided