Literature DB >> 32172648

Health-Related Quality of Life in Children, Adolescents, and Adults With a Fontan Circulation: A Meta-Analysis.

Kate H Marshall1,2, Yves D'Udekem3,4, Gary F Sholler1,5, Alexander R Opotowsky6,7,8,9, Daniel S J Costa5,10, Louise Sharpe11, David S Celermajer5,12, David S Winlaw1,5, Jane W Newburger8,9, Nadine A Kasparian1,2,6,13.   

Abstract

Background People with a Fontan circulation experience a range of physical, psychosocial and neurodevelopmental challenges alongside, or caused by, their cardiac condition, with significant consequences for health-related quality of life (HRQOL). We meta-analyzed HRQOL outcomes reported by people with a Fontan circulation or their proxies and evaluated predictors of poorer HRQOL. Methods and Results Six electronic databases were searched for peer-reviewed, English-language articles published before March 2019. Standardized mean differences (SMD) were calculated using fixed and random-effects models. Fifty articles reporting on 29 unique studies capturing HRQOL outcomes for 2793 people with a Fontan circulation and 1437 parent-proxies were analyzed. HRQOL was lower in individuals with a Fontan circulation compared with healthy referents or normative samples (SMD, -0.92; 95% CI, -1.36 to -0.48; P<0.001). Lower scores were reported across all HRQOL domains, with the largest differences found for physical (SMD, -0.90; 95% CI, -1.13 to -0.67; P<0.001) and school/work functioning (SMD, -0.71; 95% CI, -0.90 to -0.52; P<0.001). Meta-regression analyses found no significant predictors of self-reported physical functioning, but older age at Fontan operation was associated with poorer emotional functioning (β=-0.124; P=0.004), and diagnosis of hypoplastic left heart was associated with poorer social functioning (β=-0.007; P=0.048). Sensitivity analyses showed use of the PedsQL Core Module was associated with lower HRQOL scores compared with the Short-Form Health Survey-36. Conclusions HRQOL outcomes for people with a Fontan circulation are lower than the general population. Optimal care acknowledges the lifelong impact of the Fontan circulation on HRQOL and offers targeted strategies to improve outcomes for this growing population.

Entities:  

Keywords:  Fontan circulation; chronic illness; congenital heart disease; health‐related quality of life; mental health; psychological stress

Mesh:

Year:  2020        PMID: 32172648      PMCID: PMC7335513          DOI: 10.1161/JAHA.119.014172

Source DB:  PubMed          Journal:  J Am Heart Assoc        ISSN: 2047-9980            Impact factor:   5.501


brain natriuretic peptide congenital heart disease Child Health Questionnaire hypoplastic left heart syndrome health‐related quality of life Pediatric Quality of Life Core Module parent‐report Short‐Form Health Survey‐36 self‐report oxygen uptake

Clinical Perspective

What Is New?

This review and meta‐analysis of health‐related quality of life (HRQOL) in people with a Fontan circulation, synthesizes the findings of 50 articles reporting on 2,793 patients and 1,437 parent‐proxies. People of all ages with a Fontan circulation report lower total HRQOL compared with referents, and poorer outcomes across all HRQOL domains, with a particularly large effect for physical functioning. Parents report lower HRQOL for their child with a Fontan circulation compared to parental reports for children from the general community. Meta‐regression analyses revealed emotional and social functioning are more likely than physical functioning to be moderated by demographic and medical factors.

What Are the Clinical Implications?

The Fontan circulation has a lifelong impact on HRQOL and wellbeing, and targeted strategies to improve long‐term outcomes for this growing population are needed. The Fontan procedure is the final in a series of surgeries performed to palliate single‐ventricle congenital heart disease (CHD), a class of highly complex CHD in which it is impossible to create a 2‐ventricle circulation. Over 80% of children with single‐ventricle CHD who progress to a Fontan circulation survive into adulthood, translating into a rapidly growing population of people living with a high burden of disease.1 Patients who have undergone the Fontan operation experience a range of comorbidities related to their cardiac condition and associated medical interventions. The impact of resulting stressors on the developing child can be profound, and individuals with a Fontan circulation report physical, psychological, neurodevelopmental, and social challenges across their lifespan.2, 3 After surgery, patients and their families anticipate progressive functional limitations, serious cardiac and noncardiac morbidities, and the possibility of Fontan circulatory failure of sufficient severity to require cardiac transplantation or cause premature death. These lifelong challenges and risks can influence patients’ overall well‐being and health‐related quality of life (HRQOL). HRQOL is a multidimensional concept including domains related to physical, psychological, social, and occupational functioning.4, 5 Despite recognition that people with a Fontan circulation are at risk of poor HRQOL,6 there is no consensus on the individual and environmental factors that influence this outcome. It is unclear, for example, whether CHD complexity itself is a risk factor for poorer HRQOL. While 3 reviews found greater CHD complexity was associated with lower HRQOL in children and adults,7, 8, 9 2 reviews reported no association.10, 11 Clinical factors, such as daily medication use, longer hospitalizations, and greater number of medical interventions, are associated with worse HRQOL among people with complex CHD.8, 11 Greater psychological stress, fewer social supports, and lower family socioeconomic status are also correlated with lower HRQOL12, 13, 14, 15; however, no meta‐analyses have examined the relative impact of these factors in people with a Fontan circulation. With the Fontan population currently estimated at 70 000 individuals worldwide and predicted to double over the next 20 years,16 there is an imperative to better understand HRQOL.17 This review aimed to: (1) meta‐analyze HRQOL outcomes reported by children, adolescents, and adults with a Fontan circulation and/or their proxies in comparison to the general population; (2) identify individual and environmental factors that predict HRQOL in people with a Fontan circulation and determine moderating effects; (3) examine associations between healthcare use (eg, frequency of visits to cardiac services), health service costs and HRQOL; and (4) critically appraise the quality of existing literature to set priorities for future clinical practice and research advancement.

Methods

The data that support the findings of this study are available from the corresponding author on reasonable request. We followed the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses Statement18 for the purposes of identifying articles, extracting data, and synthesizing evidence. The protocol was registered with PROSPERO (CRD42015016610).

Data Sources and Search Strategy

Six electronic databases (Medline, CINHAL, Cochrane, Embase, PsycINFO, and Scopus) were searched for peer‐reviewed studies, and autoalerts were created using the same unique search algorithm for each database, with studies published through March 7, 2019 incorporated into the review. Search terms defining the target population were combined with key HRQOL terms (Table S1).19 Reference lists of included studies were manually scanned to identify additional articles. Prolific author searching was used to identify additional articles.

Eligibility Criteria

Eligible studies met all following criteria: (1) reported on a sample of individuals with a Fontan circulation; (2) used a validated, quantitative self‐ or proxy‐reported HRQOL measure; and (3) were published in an English‐language, peer‐reviewed format. Studies that defined participants only by univentricular diagnosis were included if >80% of the sample had a Fontan circulation. All study designs and comparison group types were considered eligible.

Study Selection and Data Extraction

Initially, one researcher (K.M.) screened all titles for duplicates and ineligible articles. Remaining abstracts and resulting full texts were then independently screened by 2 researchers (K.M., N.K.). In cases where eligibility was unclear, a third researcher (G.S.) was consulted or the corresponding author contacted (Figure 1). One researcher (K.M.) extracted data from each article, and a second checked for accuracy (N.K.). Disagreements were resolved through discussion and consensus. Among articles comparing people with a Fontan circulation with healthy controls or normative data, averages (means, medians) and distribution of self‐ and parent‐reported HRQOL scores were extracted for meta‐analysis. For articles that did not report the SD of scores,20, 21, 22, 23 the Cochrane RevMan calculator24 was used to estimate SD. Plot digitizer software (http://plotdigitizer.sourceforge.net/) was used to extract scores reported in graphs.23, 25 Where ≥2 articles reported on the same sample, data from the most recently published article were meta‐analyzed.
Figure 1

Preferred Reporting Items for Systematic Reviews and Meta‐Analyses diagram illustrating the systematic search process.

HRQOL indicates health‐related quality of life.

Preferred Reporting Items for Systematic Reviews and Meta‐Analyses diagram illustrating the systematic search process.

HRQOL indicates health‐related quality of life.

Risk of Bias Analysis

Risk of bias was independently assessed for each study by 2 reviewers (K.M., D.C.). Assessments were performed using the 14‐item criteria proposed by Kmet et al,26 and item scores from 0 to 2 were assigned. A total mean summary score was then calculated, with higher scores indicating greater methodological rigor and lower risk of bias (>0.8=strong, 0.71–0.79=good, 0.50–0.70=adequate, and <0.50=limited).

Data Synthesis and Meta‐Analysis

Based on an a priori assumption of outcome measurement heterogeneity, a narrative synthesis was used to report evidence from all 50 captured articles. Statistical analyses were performed using the Comprehensive Meta‐Analysis Program, Version 3 (CMA 3.0; Englewood, NJ).27 Standardized mean difference (SMD) scores were the primary summary measure, allowing for comparison of effect sizes across HRQOL measures.28 All meta‐analyses were initially conducted using a random‐effects model, as described by DerSimonian and Laird,29 as variation in the true effect size between studies caused by clinical (eg, CHD complexity, comorbidities) or methodological (eg, study design, risk of bias) heterogeneity was evident following data extraction.30 Fixed‐effects models have also demonstrated validity in the presence of heterogeneity;31 thus, the primary meta‐analyses were repeated using a fixed‐effects model to enhance the practical inference of our results. Random‐ and fixed‐effects analyses were performed for overall self‐ and parent‐reported HRQOL. For each reporting method (self or proxy), separate analyses were then performed for each HRQOL domain, including physical and psychosocial summary domains and emotional, social, and school/work functioning. For articles in which the number of control participants was not reported, a conservative approach assuming the number equal to that of the patient group was used. Statistical heterogeneity between studies was assessed using Cochran's Q.32 The I2 statistic27 was used as an estimate of the percentage of total between‐study variance, with I2 ≥50% indicating substantial heterogeneity.33 A series of random‐effects univariate meta‐regression analyses were conducted to determine the effect of continuous moderator variables on the SMD, only if the number of studies was ≥4. Demographic, clinical, and social psychological variables were specified a priori, but only 4 variables (hypoplastic left heart syndrome [HLHS] diagnosis, mean age at Fontan procedure, mean age at HRQOL assessment, and sex) met criteria for regression analysis. Regression coefficients (β) were used to indicate the estimated increase in the effect size per unit increase in the moderator variable. The proportion of between‐study variation explained by each moderator variable was calculated as R 2. Interactions among moderator variables were not tested because of insufficient power. Post hoc sensitivity analyses were performed to explore the potential effect of HRQOL measure. Only the PedsQL Core Module and Short‐Form Health Survey‐36 provided sufficient data for these analyses. For all statistical analyses, significance was set at P<0.05. Additional predictors of HRQOL not assessed via meta‐analysis were captured using narrative synthesis. Publication bias was investigated by visual inspection of the funnel plot for asymmetry on all outcome measures. Egger's weighted regression method34 and the Begg‐Mazumdar rank correlation method35 were used to assess potential publication bias. If bias was detected (P<0.05), Duval and Tweedie's Trim and Fill procedure36 with random‐effects modeling was used to estimate the impact of bias on meta‐analytic results.

Results

Fifty articles examining HRQOL outcomes of individuals with a Fontan circulation were identified, after screening of 3907 titles or abstracts and review of 126 full texts (Figure 1). Captured articles reported on the outcomes of 29 unique samples, including 2793 patients and 1437 parent‐proxies. Risk of bias was low, with a mean quality rating of 0.92 across the 50 articles (Table 1), and no studies were excluded because of bias. Studies sampled individuals from the United States (n=31),2, 3, 6, 22, 23, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62 Europe (n=14),20, 21, 25, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73 and Australia (n=2),74, 75 whereas 3 samples were recruited from multiple countries.76, 77, 78 Most articles (76%) were published between 2010 and 2019.
Table 1

Characteristics of Included Studies

ArticleCountryRisk of Bias Score* No. of ParticipantsMean or Median Age at HRQOL Assessment, ySexDiagnosisMean or Median Age at Fontan, yMean or Median Time Since Fontan, ySR or PRHRQOL Measure(s)
Anderson et al3 2008 United States0.8654611.9327 male, 219 female

TA: 119

HLHS: 112

DILV: 80

Heterotaxia: 42

DORV: 41

PA with intact ventricular septum: 33

MA: 31

Abnormal tricuspid valve: 22

Atrioventricular canal defect: 22

Other: 38

3.4NRPRCHQ
Atz et al37 2007 United States0.8154612.2327 male, 219 femaleNR5.17.2SR, PRCHQ
Atz et al39 2011 United States0.7753611.9318 male, 218 female

DILV: F=47, NF=31

MA: F=21, NF=9

TA: F=75, NF=46

Unbalanced atrioventricular canal: F=14, NF=9

Heterotaxia: F=28, NF=12

HLHS: F=83, NF=26

Other: F=93, NF=42

F: 3.5 NF: 3.3NRPRCHQ
Atz et al38 2013 United States0.9554611.9327 male, 219 female

TA: 119

HLHS: 112

DILV: 80

Heterotaxia: 42

DORV: 41

PA with intact ventricular septum: 33

MA: 31

Abnormal tricuspid valve: 22

Atrioventricular canal defect: 22

Other: 38

SCC: 3.5 No SCC: 3.28.1SR, PRCHQ
Atz et al41 2015 United States0.8642718.4249 male, 178 femaleNRNR15.2SR, PRCHQ, PedsQL, SF‐36
Atz et al40 2017 United States0.9537321.2222 male, 151 femaleNR3.317.8SR, PRCHQ, PedsQL, SF‐36
Banka et al42 2011 United States0.8553911.9NRNRCoil: 3.9, No coil: 3.28.6PRCHQ
Blaufox et al43 2008 United States0.8152111.9315 male, 206 femaleNR3.4NRPRCHQ
Callegari et al78 2019Germany and Italy1.0023225.692 male, 140 femaleNRNRNRSRSF‐36
Cohen et al44 2010 United States1.0054411.9NRNRNR8.4PRCHQ
Czosek et al76 2015United States and United Kingdom1.0031811.9182 male, 136 femaleNRNRNRSR, PRPedsQL
d'Udekem et al74 2009Australia0.773621.619 male, 17 female

DILV: 14

TA: 8

DORV: 3

Atrioventricular canal: 3

PA with intact ventricular septum: 2

Straddling atrioventricular valve: 1

Other: 5

516.6SRSF‐36
Dulfer et al20 2014The Netherlands0.8544NRNRNR3NRSR, PRSF‐36, TACQOL
Dulfer et al63 2016The Netherlands0.9079NR47 male, 32 femaleNRNRNRSR, PRTACQOL
Friedland‐Little et al45 2017United States0.8131ECMO: 7.8 No ECMO: 6.824 male, 7 female

HLHS: 27

DILV: 1

TA with d‐MGA: 1

Unbalanced atrioventricular septal defects: 1

DORV with hypoplastic LV: 1

NRNRSR, PRPedsQL
Goldberg et al46 2014United States0.902323.0145 male, 87 femaleHLHS: 207NRNRPRPedsQL
Goldstein et al22 2011United States0.905115.031 male, 20 female

HLHS: 25

DILV: 8

TA: 6

AVSD with hypoplastic LV: 3

TGA with hypoplastic RV: 3

PA with intact ventricular septum: 3

Other: 3

6.2NRSR, PRPedsQL
Gratz et al66 2009Germany0.863122.116 male, 15 femaleNR2.9NRSRSF‐36
Hedlund et al71 2016 Sweden0.723014.216 male, 14 femaleNR2.711.4SR, PRPedsQL
Hedlund et al70 2017 Sweden0.773014.216 male, 14 femaleNRNRNRSR, PRPedsQL
Heye et al77 2019Germany and Switzerland0.95463.131 male, 15 female

HLHS: 26

PA with VSD: 2

PA with intact ventricular septum: 1

TA: 3

DILV with TGA: 1 

l‐TGA with hypoplastic LV: 1

Imbalanced AVSD: 6

Borderline LV: 4

DORV with TGA: 2

2.70.83PRPedsQL
Hock et al67 2018Germany0.957812.057 male, 21 female

HLHS: 27

TA: 13

DILV: 12

d‐MGA: 10

Atrioventricular anomaly: 5

HRHS: 4

Other: 7

2.3NRSRKINDL‐R
Idorn et al21 2013Denmark0.81158NR93 male, 65 female

TA: 43

DILV: 39

AVSD: 15

HLHS: 12

PA with intact ventricular septum: 12

Other: 37

NRNRSR, PRPedsQL, SF‐36
Jacobsen et al47 2016 United States0.861410.48 male, 6 female

TA: 4

HLHS: 4

DORV:1

Unbalanced AVSD: 2

d‐TGA with MA: 1

HRHS: 1

Coarctation with MA, LV hypoplasia: 1

NR7.3SR, PRPedsQL
Jacobsen et al48 2018 United States0.861110.55 male, 6 femaleNRNR7.4SR, PRPedsQL
Karamlou et al49 2013United States0.9025NRNRNRNRNRSRCHQ, PedsQL
Kukreja et al50 2015United States0.86492625 male, 24 femaleNRNRNRSRSF‐36
Lambert et al51 2009 United States0.8132813.9195 male, 133 femaleNR3.6NRSR, PRCHQ
Manlhiot et al23 2009United States0.906813.024 male, 44 female

DILV: 20

TA: 15

HLHS: 4

Other: 29

4NRSR, PRCHQ, PedsQL
McCrindle et al2 2006 United States0.9553711.9323 male, 214 femaleNRNRNRPRCHQ
McCrindle et al52 2007 United States0.9514711.691 male, 56 femaleNR3.58.1SR, PRCHQ
McCrindle et al55 2010 United States0.9051111.9311 male, 200 femaleNR3.4NRPRCHQ
McCrindle et al54 2014 United States0.9032513.9193 male, 132 female

TA: 80

HLHS: 58

DILV: 53

Heterotaxia: 22

MA: 18

AVSD: 12

Other: 76

NRNRSRCHQ
McCrindle et al53 2014 United States0.9024516.2144 male, 101 femaleNR2.9NRPRCHQ
Mellion et al56 2014 United States0.95208Children: 9.6, Adolescents: 14.8123 male, 85 female

HLHS: 57

DILV: 28

DORV: 3

MA: 17

TA: 39

Unbalanced atrioventricular canal: 19

RV‐aorta with PA: 18

Superinferior ventricle: 4

Conotruncal anomalies: 135

TGA: 99

DORV: 16

Truncus arteriosus: 20

NRNRSR, PRPedsQL
Menon et al57 2018United States0.95299NR174 male, 125 femaleHLHS: 98NRNRSR, PRPedsQL
Müller et al69 2009Germany0.8157NR39 male, 18 femaleNRNRNRSRCHQ, SF‐36
Müller et al68 2012Germany0.8157NR33 male, 24 femaleNRNRNRSRSF‐36
Overgaard et al25 2011Denmark0.9062NR34 male, 28 female

DILV: 20

TA: 17

MA: 6

DORV: 6

AVSD: 4

PA with intact ventricular septum: 3

HLHS: 2

Other: 4

NRNRSRSF‐36
Pike et al59 2012United States0.955426.026 male, 28 female

TA: 19

DILV: 13

Hypoplastic RV: 8

HLHS: 4

DORV: 3

Ebstein abnormality: 1

AVSD: 2

Other: 4

NRNRSRSF‐36
Prakash et al58 2010 United States0.9512312.169 male, 54 female

TA: 36

DILV: 22

HLHS: 14

d‐TGA, PA: 9

Heterotaxia, DORV, SV: 9

PA with intact ventricular septum: 7 

l‐TGA, DORV, PA: 6

Unbalanced atrioventricular canal: 3

Other: 17

NRNRPRCHQ
Smas‐Suska et al72 2018Poland0.814026.024 male, 16 female

Right ventricular hypoplasia: 25

Pulmonary stenosis: 9

Left ventricular hypoplasia: 3

DORV: 2

Complete atrioventricular canal: 1

4.820.5SRSF‐36
Stephenson et al60 2010 United States0.9552011.9315 male, 205 female

Single LV, DILV, and TA: IART=18, No IART=174

Single RV, DIRV, MA, HLHS: IART=5, No IART=135

SV, Unbalanced atrioventricular canal defect: IART=1, No IART=19

Other: IART=10, No IART=116

SV, Heterotaxia: IART=4, No IART=34

3.48.4PRCHQ
Sutherland et al75 2018Australia0.90171510 male, 7 female

DILV: 3

TA:5

HLHS: 3

TGA: 2

DORV: 1

PA with intact ventricular septum: 1

AVSD: 2

NRNRSR, PRPedsQL
Uzark et al6 2016 United States0.9540818.5237 male, 171 femaleNR3.815.2SRCHQ, PedsQL, SF‐36
van den Bosch et al64 2004The Netherlands0.6836NR18 male, 18 female

TA: 21

DILV: 9

Other: 6

12NRSRSF‐36
Williams et al61 2009 United States0.95476NR280 male, 187 female

PA: 29

HLHS: 100

Atrioventricular valve, heterotaxia, unbalanced AVSD: 52

TA: 114

Anomalous venous return: 8

3.48.8PRCHQ
Williams et al62 2013 United States0.7254611.9NR

SV, DILV: No pacemaker=62, pacemaker=20

SV, DIRV: No pacemaker=9, pacemaker=1

SV, MA: No pacemaker=29, pacemaker=1

SV, TA: No pacemaker=105, pacemaker=15

Unbalanced AVCD: No pacemaker=19, pacemaker=2

Heterotaxia: No pacemaker=33, pacemaker=7

HLHS: No pacemaker=100, pacemaker=10

Other: No pacemaker=118, pacemaker=15

NRNRPRCHQ
Wolff et al65 2018The Netherlands0.902127.07 male, 14 female

TA: 9

DILV: 6

AVSD: 4

PA with intact ventricular septum: 2

6NRSRSF‐36
Yildiz et al73 2011Turkey0.812019.010 male, 10 female

TA with pulmonary stenosis: 10

PA with intact ventricular septum: 5

DILV: 3

DORV: 1

PA with VSD: 1

NRNRSRPedsQL

AVCD indicates atrioventricular canal defect; AVSD, atrioventricular septal defect; CHQ, Child Health Questionnaire; DILV, double‐inlet left ventricle; DIRV, double‐inlet right ventricle; d‐MGA, d‐malposed great arteries; DORV, double‐outlet right ventricle; d‐TGA, dextrotransposition of the great arteries; ECMO, extracorporeal membrane oxygenation; F, fenestration; HLHS, hypoplastic left heart syndrome; HRHS, hypoplastic right heart syndrome; HRQOL, health‐related quality of life; IART, intra‐atrial reentrant tachycardia; KINDL‐R, The Revised Children's Quality of Life Questionnaire; l‐TGA, levotransposition of the great arteries; LV, left ventricle; MA, mitral atresia; NF, no fenestration; NR, not reported; PA, pulmonary atresia; PedsQL, PedsQL Core Module; PR, parent‐report; RV, right ventricle; SCC, superior cavopulmonary connection; SF‐36, Short‐Form Health Survey‐36; SR, self‐report; SV, single ventricle; TA, tricuspid atresia; TACQOL, TNO AZL Children's Quality of Life; TGA, transposition of the great arteries; and VSD, ventricular septal defect.

Higher scores indicate greater methodological rigor and lower risk of bias.

Articles reporting on the same or overlapping study cohorts.

Articles reporting on multiple congenital heart disease diagnoses per participant.

Characteristics of Included Studies TA: 119 HLHS: 112 DILV: 80 Heterotaxia: 42 DORV: 41 PA with intact ventricular septum: 33 MA: 31 Abnormal tricuspid valve: 22 Atrioventricular canal defect: 22 Other: 38 DILV: F=47, NF=31 MA: F=21, NF=9 TA: F=75, NF=46 Unbalanced atrioventricular canal: F=14, NF=9 Heterotaxia: F=28, NF=12 HLHS: F=83, NF=26 Other: F=93, NF=42 TA: 119 HLHS: 112 DILV: 80 Heterotaxia: 42 DORV: 41 PA with intact ventricular septum: 33 MA: 31 Abnormal tricuspid valve: 22 Atrioventricular canal defect: 22 Other: 38 DILV: 14 TA: 8 DORV: 3 Atrioventricular canal: 3 PA with intact ventricular septum: 2 Straddling atrioventricular valve: 1 Other: 5 HLHS: 27 DILV: 1 TA with d‐MGA: 1 Unbalanced atrioventricular septal defects: 1 DORV with hypoplastic LV: 1 HLHS: 25 DILV: 8 TA: 6 AVSD with hypoplastic LV: 3 TGA with hypoplastic RV: 3 PA with intact ventricular septum: 3 Other: 3 HLHS: 26 PA with VSD: 2 PA with intact ventricular septum: 1 TA: 3 DILV with TGA: 1 l‐TGA with hypoplastic LV: 1 Imbalanced AVSD: 6 Borderline LV: 4 DORV with TGA: 2 HLHS: 27 TA: 13 DILV: 12 d‐MGA: 10 Atrioventricular anomaly: 5 HRHS: 4 Other: 7 TA: 43 DILV: 39 AVSD: 15 HLHS: 12 PA with intact ventricular septum: 12 Other: 37 TA: 4 HLHS: 4 DORV:1 Unbalanced AVSD: 2 d‐TGA with MA: 1 HRHS: 1 Coarctation with MA, LV hypoplasia: 1 DILV: 20 TA: 15 HLHS: 4 Other: 29 TA: 80 HLHS: 58 DILV: 53 Heterotaxia: 22 MA: 18 AVSD: 12 Other: 76 HLHS: 57 DILV: 28 DORV: 3 MA: 17 TA: 39 Unbalanced atrioventricular canal: 19 RV‐aorta with PA: 18 Superinferior ventricle: 4 Conotruncal anomalies: 135 TGA: 99 DORV: 16 Truncus arteriosus: 20 DILV: 20 TA: 17 MA: 6 DORV: 6 AVSD: 4 PA with intact ventricular septum: 3 HLHS: 2 Other: 4 TA: 19 DILV: 13 Hypoplastic RV: 8 HLHS: 4 DORV: 3 Ebstein abnormality: 1 AVSD: 2 Other: 4 TA: 36 DILV: 22 HLHS: 14 d‐TGA, PA: 9 Heterotaxia, DORV, SV: 9 PA with intact ventricular septum: 7 l‐TGA, DORV, PA: 6 Unbalanced atrioventricular canal: 3 Other: 17 Right ventricular hypoplasia: 25 Pulmonary stenosis: 9 Left ventricular hypoplasia: 3 DORV: 2 Complete atrioventricular canal: 1 Single LV, DILV, and TA: IART=18, No IART=174 Single RV, DIRV, MA, HLHS: IART=5, No IART=135 SV, Unbalanced atrioventricular canal defect: IART=1, No IART=19 Other: IART=10, No IART=116 SV, Heterotaxia: IART=4, No IART=34 DILV: 3 TA:5 HLHS: 3 TGA: 2 DORV: 1 PA with intact ventricular septum: 1 AVSD: 2 TA: 21 DILV: 9 Other: 6 PA: 29 HLHS: 100 Atrioventricular valve, heterotaxia, unbalanced AVSD: 52 TA: 114 Anomalous venous return: 8 SV, DILV: No pacemaker=62, pacemaker=20 SV, DIRV: No pacemaker=9, pacemaker=1 SV, MA: No pacemaker=29, pacemaker=1 SV, TA: No pacemaker=105, pacemaker=15 Unbalanced AVCD: No pacemaker=19, pacemaker=2 Heterotaxia: No pacemaker=33, pacemaker=7 HLHS: No pacemaker=100, pacemaker=10 Other: No pacemaker=118, pacemaker=15 TA: 9 DILV: 6 AVSD: 4 PA with intact ventricular septum: 2 TA with pulmonary stenosis: 10 PA with intact ventricular septum: 5 DILV: 3 DORV: 1 PA with VSD: 1 AVCD indicates atrioventricular canal defect; AVSD, atrioventricular septal defect; CHQ, Child Health Questionnaire; DILV, double‐inlet left ventricle; DIRV, double‐inlet right ventricle; d‐MGA, d‐malposed great arteries; DORV, double‐outlet right ventricle; d‐TGA, dextrotransposition of the great arteries; ECMO, extracorporeal membrane oxygenation; F, fenestration; HLHS, hypoplastic left heart syndrome; HRHS, hypoplastic right heart syndrome; HRQOL, health‐related quality of life; IART, intra‐atrial reentrant tachycardia; KINDL‐R, The Revised Children's Quality of Life Questionnaire; l‐TGA, levotransposition of the great arteries; LV, left ventricle; MA, mitral atresia; NF, no fenestration; NR, not reported; PA, pulmonary atresia; PedsQL, PedsQL Core Module; PR, parent‐report; RV, right ventricle; SCC, superior cavopulmonary connection; SF‐36, Short‐Form Health Survey‐36; SR, self‐report; SV, single ventricle; TA, tricuspid atresia; TACQOL, TNO AZL Children's Quality of Life; TGA, transposition of the great arteries; and VSD, ventricular septal defect. Higher scores indicate greater methodological rigor and lower risk of bias. Articles reporting on the same or overlapping study cohorts. Articles reporting on multiple congenital heart disease diagnoses per participant. Mean patient age at HRQOL assessment ranged from 3.0 to 27.0 years; 16 samples included people of all ages, 10 sampled children and adolescents, and 3 sampled adults only. Most samples (86%) included a larger proportion of male than female participants. Average time since Fontan completion ranged from 0.83 to 20.5 years, and mean age at Fontan operation ranged from 2.3 to 12.0 years. Nineteen studies relied on both parent‐ and self‐reported HRQOL, 18 used self‐report, and 13 captured only parent proxy–reported HRQOL. Across all studies, 8 HRQOL measures were used; most common were the PedsQL Core Module79 (PedsQL n=17; 14 samples; 1604 patients; 1181 parent‐proxies), Short‐Form Health Survey‐3680 (SF‐36; n=16; 14 samples; 806 patients), and Child Health Questionnaire81 (n=22; 4 samples; 665 patients; 546 parent‐proxies). Twenty‐two articles provided sufficient data for meta‐analysis. Of these, 13 studies compared HRQOL outcomes of people with a Fontan circulation with those of an optimal healthy control sample, and 9 studies compared HRQOL scores with values derived from a normative sample (3 from a “healthy” sample, 6 from a “general community” sample). Given the diversity in comparator samples, the terms “referents” or “comparators” will be used herein to define control or comparison groups.

Health‐Related Quality of Life

Self‐reported HRQOL

Overall, self‐reported HRQOL was significantly lower in individuals with a Fontan circulation compared with referents (SMD −0.92; 95% CI, −1.36 to −0.48; P<0.001; k=8; Table 2, Figure 2). Fontan patients reported lower scores across all HRQOL domains, with a large effect for physical functioning (SMD −0.90; 95% CI, −1.13 to −0.67; P<0.001; k=26) and moderate effects for school/work (SMD −0.71; 95% CI, −0.90 to −0.52; P<0.001; k=10) and for psychosocial (SMD −0.63; 95% CI, −0.87 to −0.39; P<0.001; k=14) and social functioning (SMD −0.56; 95% CI, −0.73 to −0.39; P<0.001; k=21) compared with referents. Emotional functioning was also poorer compared with referents; however, the effect size was small (SMD −0.35; 95% CI, −0.54 to −0.15; P=0.001; k=23). Fixed‐effects analyses also found overall self‐reported HRQOL was lower in individuals with a Fontan circulation compared with referents (SMD −0.89; 95% CI, −0.99 to −0.80; P<0.0001; k=8). Fixed‐effect analyses followed the same pattern across all self‐reported HRQOL domains, ranging from −0.84 to −0.26 SDs below the mean for referents (all P<0.001; Table S2).
Table 2

Meta‐Analysis Results Comparing Mean Self‐ and Parent‐Reported HRQOL Scores for People With a Fontan Circulation With Healthy Referents

Variable No. of ComparisonsNo. of ParticipantsTest StatisticsHeterogeneity
Fontan PatientsHealthy ReferentsSMD95% CI P ValueI2 Q P Value
Self‐reported outcomes
Total HRQOL87687697−0.92−1.36−0.48<0.0001* 93.89114.62<0.0001*
Physical functioning26169413 043−0.90−1.13−0.67<0.0001* 90.30257.60<0.0001*
Psychosocial functioning1410095963−0.63−0.87−0.39<0.0001* 84.0381.41<0.0001*
Emotional functioning23160310 590−0.35−0.54−0.150.0001* 85.87148.60<0.0001*
Social functioning21124610 321−0.56−0.73−0.39<0.0001* 75.5477.68<0.0001*
School/work functioning108827986−0.71−0.90−0.52<0.0001* 68.4528.530.001*
Parent‐reported outcomes
Total HRQOL753811 110−1.05−1.41−0.69<0.0001* 87.8249.25<0.0001*
Physical functioning880211 482−0.99−1.22−0.76<0.0001* 79.0833.45<0.0001*
Psychosocial functioning880211 502−0.83−1.18−0.48<0.0001* 91.6683.88<0.0001*
Emotional functioning650811 060−0.69−1.01−0.39<0.0001* 83.3630.05<0.0001*
Social functioning650811 051−0.74−1.12−0.36<0.0001* 89.3046.74<0.0001*
School/work functioning42399226−0.68−0.96−0.40<0.0001* 64.758.51<0.0001*

HRQOL indicates health‐related quality of life; and SMD, standardized mean difference.

Statistically significant at P<0.05.

Figure 2

Forest plots of random‐effects analysis of self‐reported health‐related quality of life (HRQOL), presented separately for total HRQOL (A), physical functioning (B), and psychosocial functioning (C).

Random‐effect meta‐analysis of between‐group effect sizes. Box sizes are proportional to the weight of each study in the analysis, and the lines represent their 95% CIs. The thickest part of the diamond represents the pooled standardized mean difference with a width proportional to the 95% CI. ECMO indicates extracorporeal membrane oxygenation.

Meta‐Analysis Results Comparing Mean Self‐ and Parent‐Reported HRQOL Scores for People With a Fontan Circulation With Healthy Referents HRQOL indicates health‐related quality of life; and SMD, standardized mean difference. Statistically significant at P<0.05.

Forest plots of random‐effects analysis of self‐reported health‐related quality of life (HRQOL), presented separately for total HRQOL (A), physical functioning (B), and psychosocial functioning (C).

Random‐effect meta‐analysis of between‐group effect sizes. Box sizes are proportional to the weight of each study in the analysis, and the lines represent their 95% CIs. The thickest part of the diamond represents the pooled standardized mean difference with a width proportional to the 95% CI. ECMO indicates extracorporeal membrane oxygenation.

Proxy‐reported HRQOL

Parents reported lower overall HRQOL for their child with a Fontan circulation compared with parents of referents (SMD −1.05; 95% CI, −1.41 to −0.69; P<0.001; k=7; Table 2, Figure S1). All HRQOL domains were lower for individuals with a Fontan circulation compared with referents, ranging from −0.68 to −0.99 SDs below the mean for controls (all P<0.001; Table 2). Findings from fixed‐effects analyses did not differ markedly from those of the primary (random‐effects model) results; parents reported lower scores for their child across all HRQOL domains, including total HRQOL (SMD −0.99; 95% CI, −1.10 to −0.87; P<0.0001; k=7) and physical (SMD −0.93; 95% CI, −1.02 to −0.84; P<0.0001; k=8), psychosocial (SMD −0.66; 95% CI, −0.75 to −0.57; P<0.0001; k=8), emotional (SMD −0.65; 95% CI, −0.76 to −0.54; P<0.0001; k=6), social (SMD −0.72; 95% CI, −0.84 to −0.61; P<0.0001; k=6), and school/work (SMD −0.78; 95% CI, −0.93 to −0.64; P<0.0001; k=4) functioning (Table S2).

Moderators of HRQOL

HLHS diagnosis

Using meta‐regression, we found studies with a higher proportion of HLHS patients tended to report lower self‐reported social functioning (β=−0.007; 95% CI, 0.015 to −0.0001; P=0.048). Conversely, HLHS diagnosis was associated with a smaller difference in parent‐reported scores compared with referents for all domains, including total HRQOL (β=0.012; 95% CI, 0.009–0.016; P<0.001) and physical (β=0.010; 95% CI, 0.006–0.013; P<0.001), emotional (β=0.009; 95% CI, 0.005–0.013; P<0.001), social (β=0.012; 95% CI, 0.008–0.016; P<0.001), and school/work (β=0.009; 95% CI, 0.002–0.015; P=0.004) functioning (Table 3).
Table 3

Moderators of Self‐ and Parent‐Reported HRQOL, Presented Separated for Total HRQOL and Functional Domain Scores, Based on Meta‐Regression Results

ModeratorsHRQOL DomainNo. of ComparisonsNo. of ParticipantsMeta‐Regression Statistics
Fontan PatientsHealthy ReferentsSlope95% CI P Value R 2
HLHS, % with diagnosisSelf‐reported
Total HRQOL629866660.004−0.0060.0140.4400.00
Physical functioning1510467346−0.008−0.0190.0010.1080.17
Psychosocial functioning125587041−0.006−0.0160.0030.2030.18
Emotional functioning129497285−0.002−0.0120.0070.6600.02
Social functioning126277052−0.007−0.015−0.00010.048* 0.33
School/work functioning73786699−0.001−0.0060.0050.8680.00
Parent reported
Total HRQOL753811 1100.0120.0090.016<0.0001* 1.00
Physical functioning753811 0910.0100.0060.013<0.0001* 1.00
Psychosocial functioning753811 1110.0130.0090.016<0.0001* 1.00
Emotional functioning650811 0600.0090.0050.013<0.0001* 0.95
Social functioning650811 0510.0120.0080.016<0.0001* 1.00
School/work functioning423992260.0090.0020.0150.004* 1.00
Age at Fontan operationSelf‐reported
Total HRQOL2·····················
Physical functioning1011835953−0.015−0.1450.1150.8180.00
Psychosocial functioning65905450.101−0.1220.3570.3740.07
Emotional functioning1010923498−0.124−0.21−0.0380.004* 0.48*
Social functioning873532300.039−0.050.1280.3930.00
School/work functioning3·····················
Parent reported
Total HRQOL2·····················
Physical functioning2·····················
Psychosocial functioning2·····················
Emotional functioning1·····················
Social functioning1·····················
School/work functioning0·····················
Age at HRQOL assessmentSelf‐reported
Total HRQOL876876970.004−0.1580.1660.9610.00
Physical functioning21160211 1290.007−0.0390.0530.7580.00
Psychosocial functioning14100974500.0430.0130.0730.004* 0.51
Emotional functioning17151186760.021−0.0100.0530.1850.00
Social functioning15115484070.0340.0110.0580.004* 0.33
School/work functioning108827986−0.003−0.0610.0550.9130.00
Parent reported
Total HRQOL753811 110−0.077−0.119−0.0350.0003* 0.85
Physical functioning880211 482−0.039−0.0900.0120.1350.00
Psychosocial functioning880211 482−0.045−0.1410.0500.3530.00
Emotional functioning650811 060−0.065−0.089−0.040<0.0001* 1.00
Social functioning650811 051−0.071−0.130−0.0110.018* 0.64
School/work functioning42399226−0.071−0.1930.0500.2500.00
Sex, % maleSelf‐reported
Total HRQOL876876970.018−0.0160.0530.2960.29
Physical functioning20159410 443−0.013−0.0350.0080.2360.00
Psychosocial functioning139957383−0.009−0.0340.0140.4330.00
Emotional functioning18153310 418−0.003−0.0220.0150.7180.00
Social functioning16117610 149−0.011−0.0250.0020.0930.17
School/work functioning108827986−0.001−0.0180.0140.8270.00
Parent reported
Total HRQOL753811 1100.027−0.0020.0560.0750.24
Physical functioning753811 0910.021−0.0040.0470.1110.20
Psychosocial functioning753811 1110.029−0.0010.0580.0560.27
Emotional functioning650811 0600.021−0.0060.0490.1280.19
Social functioning650811 0510.017−0.0160.0510.3170.09
School/work functioning423992260.0260.0080.0420.003* 1.00

HLHS indicates hypoplastic left heart syndrome; and HRQOL, health‐related quality of life.

Statistically significant at P<0.05.

Moderators of Self‐ and Parent‐Reported HRQOL, Presented Separated for Total HRQOL and Functional Domain Scores, Based on Meta‐Regression Results HLHS indicates hypoplastic left heart syndrome; and HRQOL, health‐related quality of life. Statistically significant at P<0.05.

Age at Fontan operation

Older patient age at Fontan operation was associated with worse self‐reported emotional functioning (β=−0.124; 95% CI, −0.210 to −0.038; P=0.004) compared with referents.

Patient age at HRQOL assessment

Older age at HRQOL assessment was associated with better self‐reported psychosocial (β=0.043; 95% CI, 0.013–0.073; P=0.004) and social (β=0.034; 95% CI, 0.011–0.058; P=0.004) functioning (Table 3). In terms of parent‐reported outcomes, older patient age at assessment was associated with poorer total HRQOL (β=−0.077; 95% CI, −0.119 to −0.035; P=0.0003) and emotional (β=−0.065; 95% CI, −0.089 to −0.040; P<0.0001) and social (β=−0.071; 95% CI, −0.130 to −0.011; P=0.018) functioning.

Sex

Relative to studies with a higher proportion of female patients, studies with a higher proportion of male patients yielded a smaller difference in parent‐reported school functioning compared with referents (β=0.026; 95% CI, 0.008–0.042; P=0.003).

Publication Bias

For self‐reported social functioning, visual inspection of the funnel plot and Egger's test indicated publication bias. Trim and Fill estimation still yielded a significant effect size (SMD −0.79; 95% CI, −0.98 to −0.06), and fail‐safe N82 indicated it would take inclusion of 969 studies reporting null results for the findings to lose statistical significance. Visual inspection of the funnel plot suggested all other self‐ and parent‐reported HRQOL domains were symmetric. Results of Egger's test and Begg‐Mazumdar rank correlation test supported this assumption (P>0.05).

Sensitivity Analyses to Examine Potential Measurement Effects

Across studies, mean patient age at PedsQL assessment ranged from 3.0 to 18.5 years. When meta‐analyses were restricted to only PedsQL scores, self‐reported HRQOL remained lower among individuals with a Fontan circulation compared with healthy referents across all PedsQL domains, including total HRQOL (SMD −1.11; 95% CI, −1.32 to −0.90; P<0.0001; k=7) and physical (SMD −1.18; 95% CI, −1.39 to −0.97; P<0.0001; k=12), psychosocial (SMD −0.83; 95% CI, −1.01 to −0.65; P<0.0001; k=10), emotional (SMD −0.58; 95% CI, −0.79 to −0.37; P<0.0001; k=10), social (SMD −0.89; 95% CI, −1.01 to −0.77; P<0.0001; k=10), and school/work (SMD −0.77; 95% CI, −0.91 to −0.63; P<0.0001; k=9) functioning (Table S3). Compared with results of the primary analyses, when analyses included only PedsQL scores, effect sizes across self‐reported HRQOL domains increased. Parent‐proxy PedsQL scores followed the same pattern; parent‐reported physical (SMD −1.02; 95% CI, −1.32 to −0.73; P<0.0001; k=7) and psychosocial (SMD −0.92; 95% CI, −1.29 to −0.56; P<0.0001; k=7) functioning was poorer compared with healthy referents, and these findings did not differ markedly from those of the primary analyses. Meta‐regression analyses performed using only PedsQL scores found HLHS diagnosis was associated with a smaller difference in parent‐reported physical (β=0.010; 95% CI, 0.007–0.014; P<0.0001) and psychosocial (β=0.013; 95% CI, 0.010–0.017; P<0.0001) functioning (Table S4). Older patient age at HRQOL assessment was associated with poorer parent‐reported physical (β=−0.060; 95% CI, −0.098 to −0.022; P=0.021) and psychosocial functioning (β=−0.081; 95% CI, −0.123 to −0.040; P<0.0001) compared with healthy referents. Across studies, mean patient age at SF‐36 assessment ranged from 20.7 to 27 years. When meta‐analyses included only SF‐36 scores, people with a Fontan circulation reported lower physical (SMD −0.77; 95% CI, −1.01 to −0.53; P<0.0001; k=10) and social (SMD −0.21; 95% CI, −0.42 to −0.01; P=0.044; k=10) functioning compared with healthy referents (Table S3). Mental health component (SMD −0.18; 95% CI, −0.60 to 0.24; P=0.405; k=4) and domain scores (SMD −0.23; 95% CI, −0.57 to 0.12; P=0.197; k=11) did not differ between Fontan patients and healthy referents. Regression analyses performed using only SF‐36 scores found older age at Fontan operation was associated with lower self‐reported mental health scores (β=−0.225; 95% CI, −0.314 to −0.136; P<0.0001). Studies with a higher proportion of female patients yielded a smaller difference in self‐reported physical functioning compared with referents (β=−0.041; 95% CI, −0.075 to −0.007; P=0.018; Table S5).

Factors Associated With HRQOL Identified via Narrative Synthesis

Demographic, clinical, social, and psychological factors associated with poorer self‐ and parent‐reported HRQOL outcomes are summarized in Table 4.
Table 4

Demographic, Clinical, and Psychological Factors Associated With Poorer Self‐ or Parent‐Reported HRQOL Outcomes

Variable No. of Studies Examining FactorHRQOL Domains
Total HRQOLPhysical FunctioningPsychosocial FunctioningEmotional FunctioningSocial FunctioningSchool/Work Functioning
Demographic factors
Lower household income5↓ SR,57 ∅ PR77 ∅ SR,6 ↓ PR,2 ∅ PR53, 77 ↓ SR,6 ↓ PR2 ∅ SR,6 ∅ PR77 ∅ SR,6 ∅ PR77 ↓ SR6
Lower patient education1∅ SR72 ∅ SR72
Higher maternal education2∅ SR6 ∅ SR,6 ↑ PR53 ∅ SR6 ∅ SR6 ∅ SR6 ↑ SR6
Parent unemployment1↓ PR2 ∅ PR2
Patient unemployment1∅ SR72 ∅ SR72
Parent married1∅ PR77 ∅ PR77 ∅ PR77 ∅ PR77
Patient married1∅ SR72 ∅ SR72
Having a sibling1↓ SR23 ∅ SR23 ∅ SR23 ∅ SR23 ↓ SR23
Clinical factors, perioperative
Dominant right ventricle7∅ SR67 ∅ SR,41, 63, 72 ↓ PR,41 ∅ PR3, 53, 63 ∅ SR3, 72 ∅ SR,63, 74 ∅PR63 ∅ SR,63 ∅ PR63
SCC before Fontan3∅ PR3, 38, 53 ↓ PR3, 38
Intracardiac LT Fontan (type)7∅ SR,6, 23, 40, 63, 72 ∅ PR53, 63 ∅ SR72 ∅ SR,23, 63, 74 ↓ PR63 ↓ SR,23 ∅ SR63 ↓ SR23
No fenestration at Fontan4∅ SR,72 ↓ PR,2 ∅ PR39, 53 ∅ SR,72 ∅ PR39
Greater weight at Fontan1↓ PR2 ∅ PR2
Prenatal diagnosis1∅ PR77 ∅ PR77 ∅ PR77 ∅ PR77
Preterm birth1∅ PR77 ∅ PR77 ∅ PR77 ∅ PR77
Shunt type at Norwood1∅ PR46 ∅ PR46 ∅ PR46 ∅ PR46 ∅ PR46 ∅ PR46
Heterotaxy syndrome1∅ SR,37 ∅ PR37 ∅ SR,37 ∅ PR37
ECMO before Fontan1∅ SR,45 ∅ PR45 ∅ SR,45 ∅ PR45 ∅ SR,45 ∅ PR45 ∅ SR,45 ∅ PR45 ∅ SR,45 ∅ PR45 ∅ SR,45 ∅ PR45
Coil embolization of APCs1∅ PR42
Clinical factors, postoperative
Greater time since surgery3∅ PR77 ↓ SR,23 ∅ SR,72 ∅ PR77 ∅ SR72 ↓ SR,23 ∅ PR77 ∅ SR,23 ∅ PR77 ↓ SR23
Greater No. of procedures after Fontan1↓ SR,63 ↓ PR63 ∅ SR,63∅ PR63 ∅ SR,63∅ PR63
Greater No. of medications2↓ PR77 ↓ PR2, 77 ↓ PR77
Use of β blocker1↓ PR43 ∅ PR43
Use of class III antiarrhythmic agent1↓ PR43 ∅ PR43
Arrythmia4↓ PR2, 43, 53, 60 ↓ PR,2, 60 ∅ PR43
Protein‐losing enteropathy1↓ PR53
Pacemaker2↓ PR43, 62 ∅ PR43, 62
Atrioventricular valve regurgitation3∅ SR,72 ↓ PR55 ∅ SR72 ∅ SR74
Elevated brain natriuretic peptide6↓ SR40, 54 ∅ SR,72 ↓ PR,55 ∅ PR53 ∅ SR,72 ∅ PR55 ∅ SR74
Elevated serum albumin1↑ SR72 ∅ SR72
Lower alanine aminotransferase1↑ SR72 ∅ SR72
Lower resting heart rate1↑ PR43 ∅ PR43
Higher peak heart rate2↑ SR,72 ↑ PR43 ∅ SR,72 ∅ PR43
Higher chronotropic index2↑ SR,40 ∅ PR55
Higher resting O2 saturation4↑ SR,40 ∅ SR,72 ↑ PR55 ∅ SR72 ∅ SR74
Higher % predicted VO2 at peak exercise6↑ SR,40 ∅ SR,21, 72 ↑ PR52, 55 ∅ SR,21, 72 ∅ PR52, 55 ∅ SR21, 74 ∅ SR21 ∅ SR21
Higher % predicted VO2 at anaerobic threshold3↑ PR52, 55 ∅ PR52, 55 ∅ SR74
Higher % predicted maximum work rate3↑ SR,40 ↑ PR52, 55 ↑ PR,55 ∅ PR52, 55
Higher % predicted maximum oxygen pulse4∅ SR,40 ↑ PR55 ↓ PR53 ↑ PR55
Higher ejection fraction4↓ SR,23 ∅ SR,63, 72∅ PR53, 63 ∅ SR72 ↓ SR,23 ∅ SR63, 74 ∅ PR63 ↓ SR,23 ∅ SR,63 ∅ PR63 ↓ SR23
Lower ventricular end‐systolic volume2↑ PR,55 ∅ PR53 ∅ PR55
Lower ventricular end‐diastolic volume3↓SR,63 ↑ PR,55 ∅ PR53, 63 ∅ PR55 ∅ SR,63 ↓ PR63 ↓ SR,63 ∅ PR63
Higher VE/VCO2 2∅ SR,63, 72 ∅ PR63 ∅ SR72 ∅ SR,63 ∅ PR63 ∅ SR,63 ∅ PR63
Reduced FEV1 2↓ SR72, 78 ∅ SR72
Better peripheral vascular function1∅ SR22 ∅ SR22 ↑ SR22
Presence of sinus node dysfunction1∅ SR,63 ∅ PR63 ∅ SR,63↓ PR63 ∅ SR,63 ∅ PR63
Better secondary ventricle function1∅ PR58
Increased physical activity2∅ SR,69 ∅ PR52 ∅ PR52 ↑ SR69 ∅ SR69
Abnormal body mass index2↓ SR57 ∅ PR44 ∅ PR44
Delayed puberty1∅ SR57
Shorter stature1↓ PR44 ↓ PR44
Psychological factors
Behavioral or learning problems2↓ PR,2 ∅ PR53 ↓ PR2
Greater psychological distress1∅ PR,2∅ PR53 ↓ PR2

All associations at the P<0.05 level. ↓ indicates poorer HRQOL score; ↑, better HRQOL score; ∅, no association; APC, aortopulmonary collateral; ECMO, extracorporeal membrane oxygenation; FEV1, forced expiratory volume in 1 second; HRQOL, health‐related quality of life; LT, lateral tunnel; PR, parent reported; SCC, superior cavopulmonary connection; SR, self‐reported; VE/VCO2, minute ventilation and carbon dioxide production; and VO2, oxygen uptake.

Demographic, Clinical, and Psychological Factors Associated With Poorer Self‐ or Parent‐Reported HRQOL Outcomes All associations at the P<0.05 level. ↓ indicates poorer HRQOL score; ↑, better HRQOL score; ∅, no association; APC, aortopulmonary collateral; ECMO, extracorporeal membrane oxygenation; FEV1, forced expiratory volume in 1 second; HRQOL, health‐related quality of life; LT, lateral tunnel; PR, parent reported; SCC, superior cavopulmonary connection; SR, self‐reported; VE/VCO2, minute ventilation and carbon dioxide production; and VO2, oxygen uptake.

Demographic factors

Five studies examined HRQOL and household income. Three cross‐sectional studies found lower household income to be associated with lower parent‐reported physical functioning,2 and lower self‐ and parent‐reported psychosocial functioning2, 6 and overall HRQOL.57 Two studies found no significant association with any HRQOL domain.53, 77 Patients with siblings reported poorer physical and school functioning; however, this factor was examined in only one study.23 Two studies found higher maternal education was associated with better self‐reported school/work functioning6 and parent‐reported physical functioning.53 One study examined patient educational attainment, employment, and marital status; no association with any HRQOL domain was found.72 Associations between parent marital status and HRQOL have also not been found.77

Clinical factors

Of the 7 studies investigating HRQOL and ventricular morphological characteristics, only 1 found children with dominant right ventricle had lower parent‐reported physical functioning,41 whereas 6 found no association.3, 53, 63, 67, 72, 74 Three studies examined HRQOL and timing of superior cavopulmonary connection. Two cross‐sectional studies found parent‐reported psychosocial functioning is lower for children who undergo a superior cavopulmonary connection before their Fontan procedure.3, 38 No association between prior superior cavopulmonary connection and parent‐reported physical functioning was found.38, 53 Seven studies investigated HRQOL and Fontan type; 6 found no association with physical6, 23, 40, 63, 72 and emotional23, 63, 74 functioning when assessed cross‐sectionally, 1 found no association over time,53 and 1 found children with an intracardiac lateral tunnel Fontan reported poorer social and school/work functioning compared with siblings.23 Fenestration at time of Fontan was examined in 4 studies; 1 reported children without a fenestration had lower parent‐reported physical functioning,2 and 3 found no association.39, 53, 72 Associations between HRQOL and prenatal diagnosis,77 preterm birth,77 type of shunt at Norwood procedure,46 coil embolization of the aortopulmonary collateral vessels,42 heterotaxy syndrome,37 and use of extracorporeal membrane oxygenation after Norwood operation45 have not been found. Of 3 studies, 1 reported longer time since Fontan surgery was associated with lower physical, emotional, and social functioning in adolescents,23 but this association was not found in children77 or adults.72 Parent‐reported physical functioning was lower for patients who had more procedures after Fontan (only 1 study),63 and those taking a greater number of medications (2 of 2 studies),2, 77 particularly β blockers43 and class III antiarrhythmic drugs.43 The same was found for patients with arrhythmias (4 of 4 studies)2, 43, 53, 60 or protein‐losing enteropathy at follow‐up (only 1 study),53 and children with a pacemaker (2 of 2 studies).43, 62 Parents of children who presented with moderate to severe atrioventricular valve regurgitation reported lower physical functioning scores, although this association was evident only for children who had their Fontan at age ≤2 years (1 of 3 studies).55 Two studies found no association between the degree of atrioventricular valve regurgitation and self‐reported HRQOL.72, 74 Across the 6 studies assessing BNP (brain natriuretic peptide) levels, 3 found higher BNP was weakly associated with lower self‐ and parent‐reported physical functioning40, 54, 55 and 3 found no association with any HRQOL domain.53, 72, 74 Higher serum albumin and lower alanine aminotransferase levels were associated with better self‐reported physical functioning in adults;72 however, these factors were examined by only one study. Objective measures of better cardiopulmonary function, such as lower resting heart rate (1 study),43 higher peak heart rate (2 of 2 studies),43, 72 higher peak work rate (3 of 3 studies),40, 52, 55 and higher resting O2 saturation (2 of 4 studies),40, 55 were associated with better physical functioning. Three of 6 studies found higher predicted oxygen uptake (VO2) at peak exercise was associated with better physical functioning,40, 52, 55 whereas 3 reported no association with physical21, 72 or emotional functioning.74 Higher predicted VO2 at anerobic threshold was associated with better parent‐reported physical functioning across 2 of 3 studies.52, 55 Of the 3 studies that investigated echocardiographic variables (eg, end‐diastolic and end‐systolic volume, stroke volume, ejection fraction, and ventricular mass) using multivariate modeling, 2 found a weak relationship40, 54 and 1 reported no association with HRQOL.55 Similarly, 1 of 2 studies found lower ventricular end‐systolic volumes corresponded with better parent‐reported physical functioning,55 and 1 found no association.53 Across the 3 studies assessing ventricular end‐diastolic volume, 1 found lower scores were associated with better parent‐reported physical functioning,55 whereas 2 found no association.53, 63 Two (of two) studies found reduced forced expiratory volume in 1 second (FEV1) was associated with lower physical functioning.72, 78 Physical activity levels and HRQOL was investigated by 2 studies. One study reported greater total daily activity was weakly associated with better self‐reported psychosocial functioning,69 although no associations with parent‐reported HRQOL outcomes were found.52 Across 2 (of 2) studies, self‐reported physical functioning was predictive of clinical outcomes; poorer self‐reported physical functioning was associated with higher risk of death or heart transplantation over follow‐up.40, 41 Atz et al41 found patients with an elevated brain natriuretic peptide and low physical functioning score were 6 times more likely to die or undergo transplant. People with better peripheral vascular functioning reported better psychosocial functioning, but only one study examined this, and the correlation was modest.22 Short stature was examined in one study; short height was associated with lower parent‐reported physical and psychosocial functioning.44 Of 2 studies investigating HRQOL and body mass index at follow‐up, 1 found abnormal (higher or lower) body mass index was associated with lower self‐reported HRQOL57 One study found no difference in parent‐reported HRQOL outcomes between patients with abnormal body mass index.44

Psychological factors

Two studies examined HRQOL and psychological factors. Presence of behavioral, attentional, or learning problems or greater anxiety or depression was associated with lower parent‐reported psychosocial functioning in children and adolescents.2 Learning problems were also associated with lower parent‐reported physical functioning2 when assessed cross‐sectionally,2 but not longitudinally.53

Healthcare use and costs

No study examined HRQOL and healthcare use or health service costs.

Discussion

This review, the first to use meta‐analytic methods to investigate HRQOL in this population, synthesizes the findings of 50 articles reporting on outcomes of 2793 people with a Fontan circulation and 1437 parent‐proxies. We found people of all ages with a Fontan circulation report lower total HRQOL compared with referents, and poorer outcomes across all HRQOL domains, with a particularly large effect for physical functioning. Parents also report lower HRQOL for their child with a Fontan circulation compared with parental reports for healthy children or children from the general community. While greater CHD severity is known to be associated with lower self‐ and parent‐reported HRQOL,7, 8, 9 our work demonstrates the high physical and psychological burden experienced by people with a Fontan circulation. Meta‐analytic findings were generally robust; however, restricting analyses to only SF‐36 scores rendered differences between Fontan patients and healthy referents on psychosocial and emotional functioning non‐significant. Sensitivity analyses found studies measuring HRQOL using the PedsQL reported larger effect sizes compared with studies using the SF‐36. Mean age at PedsQL assessment ranged from 3.0 to 18.5 years, whereas mean age at SF‐36 assessment ranged from 20.7 to 27 years. Previous reviews have found adults with CHD report similar outcomes to healthy controls for psychosocial10, 11 and emotional83 functioning. Moreover, Kahr et al84 found SF‐36 scores were not significantly different between adult CHD patients and healthy controls across all HRQOL domains. Effect size variation across HRQOL measures may be attributable to sample age differences; however, the potential effect of HRQOL measure on outcomes cannot be ruled out. Meta‐regression analyses revealed emotional and social functioning are more likely than physical functioning to be moderated by demographic and medical factors, such as diagnosis of hypoplastic left heart, age at Fontan operation, and age at HRQOL assessment. Neurodevelopmental impairments in children with CHD have also been shown to strongly predict psychosocial health in adolescence.85 The high prevalence of neuropsychological deficits in children with a Fontan circulation86, 87, 88 may predispose patients to poorer psychosocial outcomes in adulthood. According to the “disability paradox,” peoples’ perceptions of their physical health are embedded in their illness, such that individuals with a chronic illness may have no reference point for “normal” physical functioning as experienced by the general community.89 This may explain why individual factors are less likely to predict physical functioning in people with single‐ventricle CHD, who are born with their illness. Post hoc analyses indicate the associations between social functioning and HLHS and age at HRQOL assessment may not be robust to differences in HRQOL measure. Prospective studies examining predictive factors across people of all ages with a Fontan circulation using a common HRQOL measure are required to determine the strength of this result. While patients with HLHS, on average, reported lower social functioning compared with others with a Fontan circulation, HLHS diagnosis was associated with better parent‐reported HRQOL across all functional domains. It is possible parents may adjust (or lower) expectations of their child in the context of early counseling on the uncertainty of long‐term outcomes. Mahle et al90 found despite a higher incidence of neurocognitive deficits, most parents of children with HLHS perceived their child's health as “excellent” and described their child's school performance and exercise ability as “average or above.” With male patients representing a greater proportion of HLHS patients than female patients, our findings may be influenced by sex effects, though we did not find meta‐analytic evidence of this. Compared with younger patients, those older at time of Fontan operation reported poorer emotional functioning. While evidence suggests older age at Fontan does not increase the incidence of physical complications, such as arrhythmias and PLE,91 little is known about the psychological consequences of delaying Fontan surgery. Among other CHD groups, older age at surgery has been associated with higher anxiety and depression at follow‐up.92 From a developmental perspective, older children may have greater capacity to comprehend environmental stress,93 potentially leading to greater acute distress and poorer long‐term psychological outcomes. This finding is potentially confounded by older age at HRQOL assessment. Over half our sample (60%) were adults at the time of HRQOL assessment and likely underwent the Fontan procedure at an older age compared with contemporary practice; thus, our findings may reflect a bias toward adult outcomes. Parents of older children at HRQOL assessment reported lower overall child HRQOL, as well as lower emotional and social functioning. This difference was not reflected in self‐reported scores, with older patients reporting better psychosocial functioning than younger patients; however, post hoc analyses indicate this finding may be sensitive to HRQOL measure. Across the reviewed studies, the highest mean age reported was 27 years. It is possible with an aging Fontan population, we will see an increase in challenges that influence psychosocial outcomes, such as greater physical morbidity, difficulties associated with childbearing, and fears of premature death. It is also difficult to determine the true discrepancy between self‐ and parent‐reported outcomes, as the average patient age was higher among studies relying on self‐report compared with parent‐report. Of the 20 studies that included both parent‐report and self‐report, only 3 tested for differences and 2 of these found parent‐reported outcomes were significantly lower than the child's own assessment.

Limitations of Captured Studies and the Current Review

While increasing attention is focused on HRQOL as a clinical indicator of health outcomes in the Fontan population, there remains considerable methodologic and measurement variation across studies. Conceptual challenges exist in CHD HRQOL research, including lack of common theoretical frameworks and operational definitions,94 making it difficult to compare findings between studies and across time. Only 8 studies examined HRQOL using a longitudinal design, limiting causal inference. Changes in medical practices over time (eg, younger age at Fontan procedure in contemporary practice compared with previous surgical eras), and improving survival rates for HLHS patients, may introduce bias. Chance of collinearity between variables is also high,95 making it difficult to determine the precise effect of risk factors on adverse HRQOL outcomes. In addition, the relatively young age of our cohort may limit the generalizability of our findings to older Fontan patients, who likely experience poorer HRQOL as morbidities arise with age. Factors known to be associated with HRQOL, such as socioeconomic deprivation, neurodevelopmental impairment, greater number of surgeries, and longer length of hospitalization, were not able to be meta‐analyzed because of insufficient data, leaving the potential moderating effect of these variables undetermined. Similarly, while high psychological distress and limited social support are known to exert stronger influence on HRQOL within CHD cohorts than clinical factors,11, 15, 96, 97 we found only 2 studies examining this association, indicating an important knowledge gap. Furthermore, none of the reviewed studies examined HRQOL and healthcare use or fiscal costs; thus, the extent to which HRQOL is influenced by healthcare practices and vice versa remains unclear. Meaningful data could not be extracted from some studies because of incomplete reporting of raw data and lack of control conditions. Evidence of publication bias was found for self‐reported social functioning; however, the result remained significant after the Trim and Fill procedure. While people with a Fontan circulation reported lower social functioning compared with healthy referents, the magnitude of this difference should be interpreted cautiously. Our meta‐analyses relied on aggregated study‐level data, rather than individual‐level data. Using individual‐level data may provide greater detail and increase the chance of detecting predictor effects on HRQOL. Exclusion of non–English‐language studies may also limit the generalizability of results.

Priorities for Clinical Practice and Research Advancement

Optimal care acknowledges the lifelong impact of the Fontan circulation on HRQOL and well‐being. Targeted strategies are required to ensure long‐term outcomes of this growing cohort continue to improve.17 Population‐based registries, such as the Australian and New Zealand Fontan Registry98 and the U.S. National Pediatric Cardiology Quality Improvement Collaborative (NPC‐QIC),99 provide encouraging examples of large, rigorous, multisite collaborations designed to overcome the limitations of single‐center initiatives. Additional recommendations include the following: (1) use of conceptually driven HRQOL frameworks to inform research questions, methods, and the development and trial of screening and intervention protocols; (2) consistency in measurement and reporting of outcomes and predictive, mediating, and moderating factors to ensure results can be pooled; and (3) longitudinal assessment of HRQOL to capture developmentally sensitive patient‐ and parent‐reported outcomes, as well as potential changes in outcomes over time and with clinical advances. Culturally and developmentally tailored perioperative psychoeducation and psychological care is recommended to bolster psychological resilience, shared decision making, and coping skills among patients and their families.100

Conclusions

The Fontan procedure has led to a pathway of survival for people born with single‐ventricle CHD, yet as this cohort ages, the burden of accompanying physical, neurodevelopmental, and psychological morbidities are becoming increasingly evident. This meta‐analysis confirms people with a Fontan circulation and their proxies report poorer HRQOL when compared with the general community. While the quality of available evidence is high, our knowledge of the role of moderating factors and psychosocial variables is limited. Considerable work is needed to strengthen our knowledge of the determinants of HRQOL and institute targeted preventive approaches to improve outcomes for this population.

Sources of Funding

K. H. Marshall is the recipient of a University of New South Wales Scientia PhD Scholarship. Dr Kasparian is the recipient of a National Heart Foundation of Australia Future Leader Fellowship (101229) and a 2018 to 2019 Harkness Fellowship in Health Care Policy and Practice from The Commonwealth Fund. This work was supported by an National Health and Medical Research Council (NHMRC) of Australia Project Grant (APP1081001).

Disclosures

Dr D'Udekem is a Clinician Practitioner Fellow of the National Health and Medical Research Council (1082186) and has received consulting fees from Merck Sharp & Dohme and Actelion. Dr Opotowsky has received consulting fees from Actelion and Novartis. The remaining authors have no disclosures to report. Tables S1–S5 Figure S1 Click here for additional data file.
  90 in total

1.  Relation of size of secondary ventricles to exercise performance in children after fontan operation.

Authors:  Ashwin Prakash; Thomas G Travison; Mark A Fogel; Lynne M Hurwitz; Andrew J Powell; Beth F Printz; Michael D Puchalski; Girish S Shirali; Shi-Joon Yoo; Tal Geva
Journal:  Am J Cardiol       Date:  2010-12-01       Impact factor: 2.778

2.  Recommendations for preparing children and adolescents for invasive cardiac procedures: a statement from the American Heart Association Pediatric Nursing Subcommittee of the Council on Cardiovascular Nursing in collaboration with the Council on Cardiovascular Diseases of the Young.

Authors:  Sarah LeRoy; E Marsha Elixson; Patricia O'Brien; Elizabeth Tong; Susan Turpin; Karen Uzark
Journal:  Circulation       Date:  2003-11-18       Impact factor: 29.690

3.  Meta-analysis in clinical trials.

Authors:  R DerSimonian; N Laird
Journal:  Control Clin Trials       Date:  1986-09

4.  What determines the quality of life of adult patients after Fontan procedure?

Authors:  Monika Smaś-Suska; Natalia Dłużniewska; Piotr Weryński; Jacek Pająk; Wojciech Płazak; Maria Olszowska; Piotr Podolec; Lidia Tomkiewicz-Pająk
Journal:  Cardiol J       Date:  2017-07-11       Impact factor: 2.737

5.  Can endurance training improve physical capacity and quality of life in young Fontan patients?

Authors:  Eva R Hedlund; Bo Lundell; Liselott Söderström; Gunnar Sjöberg
Journal:  Cardiol Young       Date:  2017-12-14       Impact factor: 1.093

6.  Delayed puberty and abnormal anthropometry and its associations with quality of life in young Fontan survivors: A multicenter cross-sectional study.

Authors:  Shaji C Menon; Ragheed Al-Dulaimi; Brian W McCrindle; David J Goldberg; Ritu Sachdeva; Bryan H Goldstein; Thomas Seery; Karen C Uzark; Anjali Chelliah; Ryan Butts; Heather Henderson; Tiffanie Johnson; Richard V Williams
Journal:  Congenit Heart Dis       Date:  2018-03-09       Impact factor: 2.007

7.  Quality of life 4 years after complex heart surgery in infancy.

Authors:  Gonzalo Garcia Guerra; Charlene M T Robertson; Gwen Y Alton; Ari R Joffe; Irina A Dinu; David Nicholas; David B Ross; Ivan M Rebeyka
Journal:  J Thorac Cardiovasc Surg       Date:  2012-04-14       Impact factor: 5.209

8.  Functional health status in children and adolescents after Fontan: comparison of generic and disease-specific assessments.

Authors:  Brian W McCrindle; Victor Zak; Victoria L Pemberton; Linda M Lambert; Victoria L Vetter; Wyman W Lai; Karen Uzark; Renee Margossian; Andrew M Atz; Amanda Cook; Jane W Newburger
Journal:  Cardiol Young       Date:  2013-06-10       Impact factor: 1.093

9.  Relationship of patient and medical characteristics to health status in children and adolescents after the Fontan procedure.

Authors:  Brian W McCrindle; Richard V Williams; Paul D Mitchell; Daphne T Hsu; Stephen M Paridon; Andrew M Atz; Jennifer S Li; Jane W Newburger
Journal:  Circulation       Date:  2006-02-20       Impact factor: 29.690

10.  Contemporary outcomes after the Fontan procedure: a Pediatric Heart Network multicenter study.

Authors:  Page A W Anderson; Lynn A Sleeper; Lynn Mahony; Steven D Colan; Andrew M Atz; Roger E Breitbart; Welton M Gersony; Dianne Gallagher; Tal Geva; Renee Margossian; Brian W McCrindle; Stephen Paridon; Marcy Schwartz; Mario Stylianou; Richard V Williams; Bernard J Clark
Journal:  J Am Coll Cardiol       Date:  2008-07-08       Impact factor: 24.094

View more
  13 in total

Review 1.  Health-related quality of life in adults with tetralogy of Fallot repair: a systematic review and meta-analysis.

Authors:  Mahim Malik; Zaiba Shafik Dawood; Mahin Janjua; Sardar Shahmir Babar Chauhan; Laila Akbar Ladak
Journal:  Qual Life Res       Date:  2021-05-22       Impact factor: 4.147

2.  Physical Activity in Fontan Patients Relates to Quality of Life and Sleep Quality.

Authors:  Alessia Callegari; Kathrin Faeth; Charlène Pfammatter; Ruedi Jung; Florian Berger; Barbara Burkhardt; Emanuela R Valsangiacomo Buechel
Journal:  Front Cardiovasc Med       Date:  2022-06-14

3.  Health and Well-Being in Surviving Congenital Heart Disease Patients: An Umbrella Review With Synthesis of Best Evidence.

Authors:  Lucia Cocomello; Kurt Taylor; Massimo Caputo; Rosie P Cornish; Deborah A Lawlor
Journal:  Front Cardiovasc Med       Date:  2022-06-10

4.  Effect of coronary artery bypass grafting on quality of life: a meta-analysis of randomized trials.

Authors:  Ruth Masterson Creber; Arnaldo Dimagli; Cristiano Spadaccio; Annie Myers; Marco Moscarelli; Michelle Demetres; Matthew Little; Stephen Fremes; Mario Gaudino
Journal:  Eur Heart J Qual Care Clin Outcomes       Date:  2022-05-05

5.  Scientific quality of COVID-19 and SARS CoV-2 publications in the highest impact medical journals during the early phase of the pandemic: A case control study.

Authors:  Marko Zdravkovic; Joana Berger-Estilita; Bogdan Zdravkovic; David Berger
Journal:  PLoS One       Date:  2020-11-05       Impact factor: 3.240

6.  Parent mental health and family functioning following diagnosis of CHD: a research agenda and recommendations from the Cardiac Neurodevelopmental Outcome Collaborative.

Authors:  Erica Sood; Amy Jo Lisanti; Sarah E Woolf-King; Jo Wray; Nadine Kasparian; Emily Jackson; Mary R Gregory; Keila N Lopez; Bradley S Marino; Trent Neely; Amy Randall; Sinai C Zyblewski; Cheryl L Brosig
Journal:  Cardiol Young       Date:  2021-06-04       Impact factor: 1.093

Review 7.  Patient-Reported Outcomes in Cardiovascular Trials.

Authors:  Ruth Masterson Creber; Cristiano Spadaccio; Arnaldo Dimagli; Annie Myers; Brittany Taylor; Stephen Fremes
Journal:  Can J Cardiol       Date:  2021-05-08       Impact factor: 5.223

8.  Association of Lymphatic Abnormalities with Early Complications after Fontan Operation.

Authors:  Sven Dittrich; Anja Weise; Robert Cesnjevar; Oliver Rompel; André Rüffer; Martin Schöber; Julia Moosmann; Martin Glöckler
Journal:  Thorac Cardiovasc Surg       Date:  2020-12-31       Impact factor: 1.827

9.  Association Between Sleep Disturbances With Neurodevelopmental Problems and Decreased Health-Related Quality of Life in Children With Fontan Circulation.

Authors:  Kirstin Knobbe; Meghana Partha; Michael D Seckeler; Scott Klewer; Chiu-Hsieh Hsu; Jamie Edgin; Wayne J Morgan; Natalie Provencio-Dean; Silvia Lopez; Sairam Parthasarathy; Daniel Combs
Journal:  J Am Heart Assoc       Date:  2021-10-20       Impact factor: 5.501

10.  Health-Related Quality of Life in Children, Adolescents, and Adults With a Fontan Circulation: A Meta-Analysis.

Authors:  Kate H Marshall; Yves D'Udekem; Gary F Sholler; Alexander R Opotowsky; Daniel S J Costa; Louise Sharpe; David S Celermajer; David S Winlaw; Jane W Newburger; Nadine A Kasparian
Journal:  J Am Heart Assoc       Date:  2020-03-16       Impact factor: 5.501

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.