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Making every contact count: recognising obesity in paediatric and young adult cardiology

Part of: Metabolic

Published online by Cambridge University Press:  11 May 2021

Aaron E. Smith*
Affiliation:
Department of Non Invasive Cardiology, University Hospital Southampton NHS Foundation Trust, Southampton, UK
Tara Bharucha
Affiliation:
Department of Paediatric Cardiology, University Hospital Southampton NHS Foundation Trust, Southampton, UK
Luise V. Marino
Affiliation:
Department of Dietetics/SLT, University Hospital Southampton NHS Foundation Trust, Southampton, UK NIHR Biomedical Research Centre Southampton, University Hospital Southampton NHS Foundation Trust and University of Southampton, Southampton, UK Faculty of Health and Well-Being, Winchester University, Winchester, UK
*
Author for correspondence: Aaron E. Smith, Highly Specialist Cardiac Physiologist, Non-Invasive Cardiology, University Hospital Southampton NHS foundation Trust, Southampton, SO16 6YD, UK. Tel: +44 (0) 23 8079 6000. E-mail: aaron.smith@uhs.nhsuk
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Abstract

Introduction:

With increased survival, children with CHD are reaching adulthood, however, obesity amongst this cohort is an emerging problem. Making every contact count encourages clinicians to utilise contact to elicit behaviour change. The aim of this work was to identify whether the body habitus of children classified as obese was addressed during a clinical review.

Methods:

A retrospective observational cohort study was completed using a cardiology outpatient dataset from 2010 to 2019. Inclusion criteria are all children with a body mass index z score classified as obese (≥ 2 z scores). Individual electronic patient records were reviewed to identify long-term anthropometric measures including (i) recognition of body habitus, (ii) prescription of physical activity or dietary intervention, and (iii) referral to a weight management programme or dietitian.

Results:

From the cohort of 95 patients, 285 “obese clinical encounters” were identified, at the time of a cardiology clinic attendance. Of those, obesity was acknowledged in 25 clinic letters (8.65%), but only 8 used the correct terms “obese” or “obesity” (2.77%). Action to tackle obesity was recorded in 9.3% of cases with a direct referral to a dietitian being made on 3 occasions (1.04%).

Conclusions:

Body habitus is not being routinely addressed by cardiologists caring for paediatric and young adult cardiac patients. This study has recognised an alarmingly high incidence of missed opportunities to make every contact count, to manage those with obesity and associated risk factors.

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press

CHD represents the highest rate of all major congenital abnormalities,Reference Townsend, Bhatnagar, Wickramasinghe, Williams, Vujeich and Rayner1 with a global prevalence of 9 out of every 1000 live births.Reference Liu, Sen and Liesl2 Global incidence is increasing, as a result of improved methods of detection.Reference Zimmerman, Smith and Sable3 Improved medical and surgical interventions,Reference Kempny, Konstantinos and Anselm4 occurring more commonly during infancy,Reference Best and Rankin5 are leading to more children with CHD reaching adulthood.Reference Van der Linde, Konings and Slager6 Despite significant advances in survivorship, mortality risk remains high.Reference Mandalenakis, Rosengren, Skoglund, Lappas, Eriksson and Dellborg7 With the majority of adolescent and adult CHD patients displaying modifiable cardiovascular risk factors,Reference Harris, Voss, Rankin, Aminzadah, Gardner and Mackie8 including metabolic syndrome,Reference Deen, Krieger and Slee9 early identification of excessive weight gain and contributing poor lifestyle behaviours is increasingly important.

Obesity is a public health epidemic, accounting for 4 million global deaths in 2015, with 70% being attributed to cardiovascular disease.10 In the United Kingdom, childhood obesity is increasingly common with one in five children aged 10–11 classified as obese.11 Obesity as a modifiable risk factor amongst children with CHD is emerging,Reference Andonian, Langer and Beckmann12 with evidence suggesting a shift from underweight to overweight occurring during mid to late childhood.Reference Chen, Wang, Lue, Hua, Change and Wu13 Poor growth during the first 2 years of life may increase the risk of unhealthy catch-up growth following corrective surgery, which combined with poor dietary behaviourReference Jackson, Tierney, Daniels and Vannatta14 and physical activity,Reference Dua, Cooper, Fox and Stuart15 increases the risk of being overweight or obese in children with CHD, equal to that of their non-CHD peers.Reference Shustak, McGuire, October, Phoon and Chun16Reference Welisch, Rauch, Seabrook, Filler and Narozi18 Obesity in CHD is also known to impact cardiac function in certain lesionsReference Fogel, Pawlowski and Keller19Reference Pasquali, Marino and Powell21 and is associated with increased risk of adverse surgical outcomes,Reference O’Byrne, Kim and Hornik22 including length of ICU stay and duration of mechanical ventilation,Reference Shamszad, Rossano, Marino, Lowry and Knudson23 post-operative arrhythmias,Reference Buelow, Earing and Hill24 wound infection, and acute neurological and kidney injury.Reference Garcia, Balakrishnan and Aggarwal25

As part of making every contact count,26 early identification of excess weight gain, poor diet, and physical inactivity should be a routine part of clinical practice, supported by performing anthropometry at every visit, accompanied by an explanation of the gap between the child’s healthy weight and current weightReference Lantin-Hermoso, Berger and Bhatt27 to the child and caregiver. This is especially important given that parents often have knowledge gaps in the understanding of their child’s pathologyReference Jassens, Goossens and Luyckx28 and limited ability to identify when their child is overweight.Reference Jones, Parkinson, Drewett, Hyland, Pearce and Adamson29 Despite this, little time is devoted to cardiovascular risk assessment and management amongst both generalists and cardiologists caring for CHD patientsReference Pemberton, McCrindle and Barkin30 with obesity failing to be reported in excess of 85% of patients.Reference Pinto, Marino and Wernovsky31

The aim of this study is to review the identification of cardiovascular risk factors including (i) recognition of body habitus, (ii) prescription of physical activity or dietary intervention, and (iii) referral to a weight management programme or dietitian, in paediatric and young adult CHD and non-CHD patients attending cardiac outpatient clinic.

Materials and methods

In the single-centre, a longitudinal retrospective study was completed using a dataset collected from 2010 to 2019. Using the unique patient hospital numbers from this cohort, an electronic patient record data specialist extracted routinely imputed anthropometric measures recorded in the electronic growth chart. For those < 18 years of age, body mass index z scores were calculated using WHO AntroPlus software.32 Obesity was classified as body mass index z scores ≥ 2 in <18 years and body mass index >30kg/m2 in >18 years.33 Weight was reported to the nearest 0.1kg and stature to the nearest 0.1cm.

The electronic patient record review was completed from 2010 until December, 2019. Clinical and demographic data collected from electronic records included age, gender, cardiac diagnosis, or reason for attending clinic, blood pressure, smoking status, clinic type (paediatric or adult), and anthropometric data (height, weight, and body mass index). Patients were categorised as either CHD or non-CHD based upon the clinical details available. Body habitus information was defined as anthropometry (e.g., height, weight, and body mass index) being recorded in the clinic letter or if it appeared anywhere in the text. An “obese clinical encounter” was defined as a consultation conducted by a cardiologist or specialist registrar, paired with an associated obese body mass index classification. Obesity was considered as acknowledged if a description to the effect was present, and this included but was not limited to the phrases “increased body mass index”, “elevated body mass index”, “excess weight”, “elevated weight” or words or phrases to that effect. Other information collected from the clinical note included (i) discussion with child and caregiver regarding the physical status and (ii) recommendations for physical activity, referral to weight management programme or dietitian.

A data cleaning process was undertaken to exclude incorrect data entries, review extreme anthropometric measures, apply age criteria (10–18 years old), and excluding genetic syndromes known to affect normal growth, for example, trisomy 21. For the purpose of this study, a clinical encounter is defined as a clinical review conducted by a consultant cardiologist or specialist registrar, paired with an obese body mass index classification.

The retrospective audit was registered within University Hospital Southampton NHS Foundation Trust (reference 6434).

Results

Demographics

A cohort of paediatric patients recorded as obese, attending cardiac outpatient clinic (n = 188) between 2010 and 2019 were identified. Following the data cleaning process, 95 patients (male=54, 56.8%) remained and made up the cohort for this study. 52.6% (n = 50) had CHD with the most common pathology (22%) being ventricular septal defect (n = 11). Of the non-CHD patients 47.4% (n = 45), the most common reason for attending clinic is related to investigating cardiac type symptoms 20% (n = 9). At the time of obesity classification, all study patients were children (mean age: 14.1 ± 2.1 years) (Table 1).

Table 1. Primary cardiac pathology

Making every contact count

From the cohort of 95 patients, n = 518 complete anthropometric measurements were recorded, with a median value of 5 measurements (range 1–14) per patient. 58.9% were those with CHD. Of these 5.8% (n = 30) were normal weight, 31.1% (n = 161) were overweight, and 63.1% (n = 327) were obese. Of those patients with >1 body mass index z score documented 86.3% (n = 82), 40.2% (n = 33/82) were consistently obese across all recorded body mass index, 43.9% (n = 36/82) were continuously obese or overweight, and 15.9% (n = 13/82) had one or more normal body mass index classification(s). 25.3% (n = 24/95) patients had a single visit to the cardiology clinic with no further follow-up.

Recognition of body habitus

Following note review of the 95 patients, there were n = 285 “obese clinical encounters” of which 63.2% were CHD (n = 180), 36.8% non-CHD (n = 105), 84.2% (n = 240 paediatric cardiology), and 15.8%, (n = 45 young adult cardiology). A notion of “obese” or “obesity” in the corresponding clinic letter was present 2.8% (n = 8), with four of these occurring in a single patient across multiple visits. Excess weight was deemed to be acknowledged in a further 6% (n = 17) clinic letters without the specific terms “obese” or “obesity” being present. With these included, excess weight was considered as acknowledged in 8.8% (n = 25/285) of associated clinic letters of which 72% were CHD patients (n = 18/25). Most frequently used alternative phrase was “increased body mass index” 20% (n = 5). Despite being available for all obese clinical encounters, height and weight were reported in 48.1% (n = 137) clinic letters, with a higher rate reported in those with CHD 55% (n = 99/180) compared to non-CHD 36.2% (n = 38/105).

Dietary and physical activity intervention

Steps taken to address obesity were recognised in 9.4% (n = 27/285) clinic letters. A direct referral to specialist weight loss services (i.e., dietitian) was made 1.1% (n = 3/285) by the cardiologist, with an additional 1.1% (n = 3) request for the patient’s general practitioner to arrange a referral. Most commonly, clinicians “encouraged weight loss” 4.6% (n = 13/285) with no specific recommendations, advice, or targets being recorded.

Making every contact count: follow-up

For those children, at the time of most recent clinic attendance, 36.2% (n = 31) patients had transitioned into the adult service of which 41.9% (n = 13) were CHD, 42.1% (n = 40) were paediatric (<18 years) of which 32.5% (n = 13) were CHD, and 25.3% (n = 24) had the single clinic visit with no follow-up.

Of those patients defined as being an adult at the initial time point, 2% (n = 1) remained obese at the time of most recent follow-up, 90.3% (n = 28/31) had systolic blood pressure reported of which 21.4% (n = 6) were hypertensive (>140mmHg), 57.1% (n = 16) were prehypertensive (120–140mmHg), and 21.4% (n = 6) were normal (<120mmHg). Across all adult patients at follow-up, systolic blood pressure and body mass index had a positive correlation (Fig 1) (n = 28, r = 0.61, p = 0.06). Smoking status was reported in 54.8% (n = 17) of which 88.2% (n = 15/17) were non-smokers, 5.8% (n = 1) was an ex-smoker, and 5.8% (n = 1) was a current smoker.

Figure 1. Adult CHD: Blood pressure and BMI.

Over half (53.9%) of paediatric patients, at the time of most recent follow-up, remained obese. Systolic blood pressure was reported in 32.5% (n = 13) of which 23.1% (n = 3) were hypertensive (≥95th centile) (Tables 2 and 3).

Table 2. Adult follow-up

±SD = standard deviation

Table 3. Paediatric follow-up

±SD = standard deviation

Discussion

The primary and most significant finding of this investigation is the extremely low levels of acknowledgement and reporting of obesity by cardiologists caring for obese, paediatric, and young adult patients. Furthermore, where obesity was acknowledged, there was a reluctance to use the term “obese” with alternative, less clinical terms such as “increased body mass index” frequently used. In addition to low levels of acknowledging obesity, referrals to specialist weight loss services to address the issue were highly infrequent. The reasons behind these findings were not established, however, given that physicians are deemed as the most important source of information for young patients with CHD,Reference Lesch, Specht, Lux, Frey, Utens and Bauer34 it is worrying that discussions about obesity are not routine practice. Under-reporting of childhood obesity is a seemingly common issue with similar findings being shown in children admitted to hospital for asthma,Reference Borgmeyer, Ercole, Niesen and Strunk35 attending emergency department,Reference Knight and Booth36 in general practice,Reference Gerner, McCallum, Sheehan, Harris and Wake37 and in general paediatric clinics.Reference Hillman, Corathers and Wilson38

Abnormal growth patterns in children with CHD are common, particularly in those with tetralogy of Fallot, hypoplastic left heart or other single-ventricle physiology, and ventricular septal defects during the first 2 years of life.Reference Aguilar, Raff, Tancredi and Griffin39 High-risk growth in CHD has been defined as growth failure during the first 2 years of life, with subsequent rapid catch-up growth between the ages of 2–7 years and 8–15 years.Reference Aguilar, Raff, Tancredi and Griffin39 A retrospective study considering longitudinal growth in a cohort of children with CHD (n = 551) described various patterns of growth. Patients with single-ventricle physiology were shorter at 2 years of age, but had normal body weight compared to reference populations, while those with tetralogy of Fallot were more likely to be short and overweight at 2 years of age with ongoing excessive weight gain, resulting in a significantly higher Body mass index by the end of childhood. The consequence of these growth patterns is unknown, but it is speculated that adult adiposity in CHD is associated with an increased risk of metabolic and cardiovascular disease later in life.Reference Pinto, Marino and Wernovsky31,Reference Smith-Parrish, Yu and Rocchini40,Reference Pasquali, Marino and Pudusseri41

The results from our work mirror growth patterns is described by centres in the USA.Reference Aguilar, Raff, Tancredi and Griffin39,Reference Medoff-Cooper and Ravishankar42 With increasing age, the incidence of overweight/obesity rose in line with the national average at 13.3% of children (n = 905). The prevalence of overweight/obesity amongst children with previous coarctation of aorta (n = 74) is 25.5% and in those with repaired atrial septal defects 21.5% (n = 64),Reference Marino and Magee43,Reference Boyles, Yee and Marino44 which is in line with rates reported elsewhereReference Pinto, Marino and Wernovsky31,Reference Steele, Preminger and Erenberg45,Reference Wellnitz, Harris, Sapru, Fineman and Radman46 and for those who became overweight/obese, the last recorded normal weight was between 6 and 10 years of age, which is comparable to children without CHD and linked to reduced levels of physical activity.Reference Boyles, Yee and Marino44 Children with CHD may be at higher risk of acquired cardiovascular disease compared to the general population, which may occur as a result of their underlying physiology and surgical sequelae; and as only a small proportion of individuals with CHD have optimal cardiovascular health, there is a need to advocate healthy lifestyle in adolescence and adulthood.Reference Harris, Voss, Rankin, Aminzadah, Gardner and Mackie8

Making every contact countReference Gates47,Reference Antenstaedt48 aims to promote health and well-being by identifying under- and over-nutrition.Reference Darzi49 Making every contact count in children with CHD could be made more effective by utilising the electronic patient record, with the use of automatic referral to dietitians of children who have breached predefined anthropometric body mass index z cut-offs, the benefit of which is the ability to use it in all age ranges for children, with improved efficiency and reproducibility in identifying children with nutrition risks,Reference Karagiozoglou – Lampoudi, Daskalou, Lampoudis, Apostolou and Agakidis50 and particularly those who are obese. Due to the study design, it was not possible to explore reasons why obesity was under-reported, however, one possible explanation between the disparities may relate to the relative simplicity of adult body mass index classification, compared to the need to use percentiles in paediatrics, due to the variability of body mass index with age. One possible solution to this would be to implement a body mass index z alert and referral for a dietetic review when a cut-off of >1 body mass index z score is exceeded, where height and weight measurements are entered into the patients electronic patient record.Reference Darzi49 An automated alert system could also be incorporated, by highlighting to the clinician that the patient they are seeing is classified as obese, and to prompt discussing this with the patient and family and introduce appropriate weight management strategies. Using an electronically embedded referral system reduces the error of incorrect classification of risk based on anthropometry, it is likely to be easy to complete, it is reproducible, and with the right criterion chosen as cut-offs will result in timely referral for weight management support.Reference Marino, Thomas and Beattie51

Blood pressure is not routinely being recorded in paediatric patients, with less than one-third of paediatric patients having blood pressure documents in clinic letter at the most recent follow-up. In adult clinics, blood pressure was routinely measured and documented (91.2%) with the majority of patients being classified as pre-hypertensive. This highlights an observed disparity in care between adult and paediatric cardiology clinics, likely due to available resources. Similarly, to body mass index, classification of hypertension in paediatric patients is less simple than in adults, with percentiles being required to classify blood pressure according to age and maturation. Again, this study did not explore reasons for blood pressure not being taken. Greater attention should be given to blood pressure in early life, particularly in those with elevated body mass index, as the correct management of this can lead to improved health.Reference Amritanshu, Kumar, Pathak, Garg and Banerjee52 This is especially important in CHD patients given their increased risk of cardiovascular morbidity and mortality.

The primary limitation of this study is its retrospective format. It should be emphasised that the correct data were limited, primarily due to the information contained in dictated clinic letters and notes, with some additional information obtained from electronic GP records where available. It is, therefore, unknown if discussions relating to weight management, physical activity, and other cardiovascular risk factors occurred during the consultation without it being documented. Regardless of whether or not the discussion occurred, a lack of communication or documentation of the issue highlights short comings in management of obesity.

Conclusion

In conclusion, our study highlights significant missed opportunities to first identify and second manage obesity in children and young adults attending cardiology services including those with CHD. Serious consideration is needed in how to identify obese individuals attending paediatric cardiology. Once identified, documented, and reported, basic guidance and encouragement on healthy eating and physical activity or exercise should be a routine practice. Alternatively, patients should be referred to specialist services such as dietitians or physical therapists where these specialist services are available.

Acknowledgements

None.

Financial support

This work is also part of independent research completed by AS and is supported by an internship from LVM Health Education England/NIHR Clinical Lectureship (ICA-CL-2016–02–001) supported by the National Institute for Health Research. The views expressed in this publication are those of the author(s) and not necessarily those of the NHS, the National Institute for Health Research, Health Education England, or the Department of Health and Social Care.

Statement of authorship

The authors made the following contribution to the manuscript: (1) LVM formulated the original idea and study design, (2) AS completed the data and statistical analyses and drafted the manuscript, and (3) TB, LVM, AS edited, read, and approved the final manuscript.

Conflicts of interest

None.

Ethical standards

This retrospective case note review was registered with the University Hospital Southampton NHS Foundation Trust as a clinical audit (audit number 6434).

References

Townsend, N, Bhatnagar, P, Wickramasinghe, K, Williams, J, Vujeich, D, Rayner, M Children and young people statistics. British Heart Foundation, London, 2013.Google Scholar
Liu, Y, Sen, C, Liesl, Z, et al. Global birth prevalence of congenital heart defects 1970–2017: updated systematic review and meta-analysis of 260 studies. Int J Epidemiol 2019; 48: 455463.10.1093/ije/dyz009CrossRefGoogle ScholarPubMed
Zimmerman, MS, Smith, AGC, Sable, CA, et al. Global, regional, and national burden of congenital heart disease, 1990–2017: a systematic analysis for the global burden of disease study 2017. Lancet Child Adolesc Health 2020; 4: 185200.10.1016/S2352-4642(19)30402-XCrossRefGoogle Scholar
Kempny, A, Konstantinos, D, Anselm, U, et al. Outcome of cardiac surgery in patients with congenital heart disease in England between 1997 and 2015. PloS One 2017; 12: e0178963.CrossRefGoogle ScholarPubMed
Best, KE, Rankin, J Long-term survival of individuals born with congenital heart disease: A systematic review and meta-analysis. J Am Heart Assoc 2016; 5: e002846.10.1161/JAHA.115.002846CrossRefGoogle ScholarPubMed
Van der Linde, D, Konings, EEM, Slager, MA, et al. Birth prevalence of congenital heart disease worldwide: A systematic review and meta-snalysis. J Am Coll Cardiol 2011; 58: 22412247.10.1016/j.jacc.2011.08.025CrossRefGoogle Scholar
Mandalenakis, Z, Rosengren, A, Skoglund, K, Lappas, G, Eriksson, P, Dellborg, M Survivorship in children and young adults with congenital heart disease in Sweden. JAMA Inter Med 2017; 177: 224230.10.1001/jamainternmed.2016.7765CrossRefGoogle Scholar
Harris, KC, Voss, C, Rankin, K, Aminzadah, B, Gardner, R, Mackie, AS Modifiable cardiovascular risk factors in adolescents and adults with congenital heart disease. Congenit Heart Dis 2018; 13: 563570.10.1111/chd.12612CrossRefGoogle ScholarPubMed
Deen, JF, Krieger, EV, Slee, AE, et al. Metabolic syndrome in adults with congenital heart disease. J Am Heart Assoc 2016; 5: e001132.10.1161/JAHA.114.001132CrossRefGoogle ScholarPubMed
The GBD 2015 Obesity Collaboration. Health effects of overweight and obesity in 195 countries over 25 years. N Engl J Med 2017; 377: 1327.10.1056/NEJMoa1614362CrossRefGoogle Scholar
NHS Digital. (2017, 10th April). Statistics on obesity, physical activity and diet, England, 2019. Part 4: Childhood Overweight and Obesity. Retrieved from https://digital.nhs.uk/data-and-information/publications/statistical/statistics-on-obesity-physical-activity-and-diet/statistics-on-obesity-physical-activity-and-diet-england-2019/part-4-childhood-obesity.Google Scholar
Andonian, C, Langer, F, Beckmann, J, et al. Overweight and obesity: an emerging problem in patients with congenital heart disease. Cardiovasc Diagn Ther 2019; 9: S360S368.10.21037/cdt.2019.02.02CrossRefGoogle ScholarPubMed
Chen, C-A, Wang, J-K, Lue, H-C, Hua, Y-C, Change, M-H, Wu, M-H A shift from underweight to overweight and obesity in Asian children and adolescents with congenital heart disease. Paediatr Perinat Epidemiol 2012; 26: 336343.10.1111/j.1365-3016.2012.01293.xCrossRefGoogle ScholarPubMed
Jackson, J, Tierney, K, Daniels, CJ, Vannatta, K Disease knowledge, perceived risk and health behavior engagement among adolescents and adults with congenital heart disease. Heart Lung 2015; 44: 3944.10.1016/j.hrtlng.2014.08.009CrossRefGoogle ScholarPubMed
Dua, JS, Cooper, AR, Fox, KR, Stuart, AG Physical activity levels in adults with congenital heart disease. Eur J Cardiovasc Prev Rehabil 2007; 14: 287293.10.1097/HJR.0b013e32808621b9CrossRefGoogle ScholarPubMed
Shustak, RJ, McGuire, SB, October, TW, Phoon, CKL, Chun, AJL Prevalence of obesity among patients with congenital and acquired heart disease. Pediatr Cardiol 2012; 33: 814.10.1007/s00246-011-0049-yCrossRefGoogle ScholarPubMed
Cohen, MS Clinical Practice: the effect of obesity in children with congenital heart disease. Eur J Pediatr 2012; 171: 11451150.10.1007/s00431-012-1736-2CrossRefGoogle ScholarPubMed
Welisch, E, Rauch, R, Seabrook, JA, Filler, G, Narozi, K Are the children and adolescents with congenital heart disease living in southwestern Ontario really overweight and obese? Cardiol Young 2014; 24: 848853.10.1017/S1047951113001157CrossRefGoogle ScholarPubMed
Fogel, MA, Pawlowski, T, Keller, MS, et al. The cardiovascular effects of obesity on ventricular function and mass in patients after tetralogy of fallot repair. J Pediatr 2015; 167: 325330.CrossRefGoogle ScholarPubMed
Maskatia, SA, Spinner, JA, Nutting, AC, Slesnick, TC, Krishnamurthy, R, Morris, SA Impact of obesity on ventricular size and function in children, adolescents and adults with tetralogy of fallot after initial repair. Am J Cardiol 2013; 112: 594598.10.1016/j.amjcard.2013.04.030CrossRefGoogle ScholarPubMed
Pasquali, SK, Marino, BS, Powell, DJ, et al. Following the arterial switch operation, obese children have risk factors for early cardiovascular disease. Congenit Heart Dis 2010; 5: 1624.10.1111/j.1747-0803.2009.00359.xCrossRefGoogle ScholarPubMed
O’Byrne, ML, Kim, S, Hornik, CP, et al. Effect of obesity and underweight status on perioperative outcomes of congenital heart operations in children, adolescents, and young adults: an analysis of data from the society of thoracic surgeons database. Circulation 2017; 136: 704718.10.1161/CIRCULATIONAHA.116.026778CrossRefGoogle Scholar
Shamszad, P, Rossano, JW, Marino, BS, Lowry, AW, Knudson, JD Obesity and diabetes mellitus adversely affect outcomes after cardiac surgery in children’s hospitals. Congenit Heart Dis 2016; 11: 409414.10.1111/chd.12325CrossRefGoogle ScholarPubMed
Buelow, MW, Earing, MG, Hill, GD, et al. The impact of obesity on postoperative outcomes in adults with congenital heart disease undergoing pulmonary valve replacement. Congenit Heart Dis 2015; 10: E197E202.10.1111/chd.12266CrossRefGoogle ScholarPubMed
Garcia, RU, Balakrishnan, PL, Aggarwal, S Does obesity affect the short-term outcomes after cardiothoracic surgery in adolescents with congenital heart disease? Cardiol Young 2020; 30: 372376.10.1017/S1047951119003329CrossRefGoogle ScholarPubMed
National Institute for Health and Care Excellence (NICE). (2015, 23rd July). Obesity in children and young people: Prevention and lifestyle weight management programmes. Retrieved from https://www.nice.org.uk/guidance/qs94.Google Scholar
Lantin-Hermoso, MR, Berger, S, Bhatt, AB, et al. The care of children with congenital heart disease in their primary medical home. Pediatrics 2017; 140: e20172607.10.1542/peds.2017-2607CrossRefGoogle ScholarPubMed
Jassens, A, Goossens, E, Luyckx, K, et al. Exploring the relationship between disease-related knowledge and health risk behaviours in young people with congenital heart disease. Eur J Cardiovascular Nurs 2016; 15: 231240.10.1177/1474515114565214CrossRefGoogle Scholar
Jones, A, Parkinson, K, Drewett, R, Hyland, RM, Pearce, MS, Adamson, AJ Parental perceptions of weight status in children: The Gateshead millennium study. Int J Obes 2011; 35: 953962.10.1038/ijo.2011.106CrossRefGoogle ScholarPubMed
Pemberton, VL, McCrindle, BW, Barkin, S, et al. Report of the National Heart, Lung, and Blood Institute’s working group on obesity and other cardiovascular risk factors in congenital heart disease. Circulation 2010; 121: 11531159.10.1161/CIRCULATIONAHA.109.921544CrossRefGoogle Scholar
Pinto, NM, Marino, BS, Wernovsky, G, et al. Obesity is a common comorbidity in children with congenital and acquired heart disease. Pediatrics 2007; 120: e1157e1164.CrossRefGoogle ScholarPubMed
World Health Organisation (WHO). 2019. WHO AntroPlus. ‘WHO | Application Tools’, WHO (World Health Organization), accessed 10 August 2020, http://www.who.int/growthref/tools/en/.Google Scholar
World Health Organisation (WHO). 2020. Body Mass Index – BMI. ‘Body Mass Index - BMI’, accessed 10 August 2020, https://www.euro.who.int/en/health-topics/disease-prevention/nutrition/a-healthy-lifestyle/body-mass-index-bmi.Google Scholar
Lesch, W, Specht, K, Lux, A, Frey, M, Utens, E, Bauer, U Disease-specific knowledge and information preferences of young patients with congenital heart disease. Cardiol Young 2014; 24: 321330.10.1017/S1047951113000413CrossRefGoogle ScholarPubMed
Borgmeyer, A, Ercole, PM, Niesen, A, Strunk, RC Lack of recognition, diagnosis, and treatment of overweight/obesity in children hospitalized for asthma. Hosp Pediatr 2016; 6: 667676.10.1542/hpeds.2015-0242CrossRefGoogle ScholarPubMed
Knight, M, Booth, C Obesity management in a paediatric emergency department. BMJ Qual Improv Rep 2014; 3: u203067.10.1136/bmjquality.u203067.w1454CrossRefGoogle Scholar
Gerner, B, McCallum, Z, Sheehan, J, Harris, C, Wake, M Are general practitioners equipped to detect child cverweight/obesity? Survey and audit. J Paediatr Child Health 2006; 42: 206211.10.1111/j.1440-1754.2006.00831.xCrossRefGoogle ScholarPubMed
Hillman, JB, Corathers, SD, Wilson, SE Pediatricians and screening for obesity with body mass index: does level of training matter? Public Health Rep 2009; 124: 561567.CrossRefGoogle ScholarPubMed
Aguilar, DC, Raff, GW, Tancredi, DJ, Griffin, IJ Childhood growth patterns following congenital heart disease. Cardiol Young 2015; 25: 10441053.10.1017/S104795111400153XCrossRefGoogle ScholarPubMed
Smith-Parrish, M, Yu, S, Rocchini, A Obesity and elevated blood pressure following repair of coarctation of the aorta. J. Pediatr 2014; 164: 10741078.10.1016/j.jpeds.2014.01.043CrossRefGoogle ScholarPubMed
Pasquali, SK, Marino, BS, Pudusseri, A, et al. Risk factors and comorbidities associated with obesity in children and adolescents after the arterial switch operation and Ross procedure. Am Heart J 2009; 158: 473479.10.1016/j.ahj.2009.06.019CrossRefGoogle ScholarPubMed
Medoff-Cooper, B, Ravishankar, C Nutrition and growth in congenital heart disease: a challenge in children. Curr Opin Cardiol 2013; 28: 122129.10.1097/HCO.0b013e32835dd005CrossRefGoogle ScholarPubMed
Marino, LV, Magee, A A cross-sectional audit of the prevalence of stunting in children attending a regional paediatric cardiology service. Cardiol Young 2016; 26: 787789.10.1017/S1047951115001778CrossRefGoogle ScholarPubMed
Boyles, C, Yee, B & Marino, LV Obesity in congenital heart disease. European Academy of Paediatrics Congress and Master Course. 12th–15th Oct 2017. Ljubljana, Slovenia.Google Scholar
Steele, JM, Preminger, TJ, Erenberg, FG et al. Obesity trends in children, adolescents, and young adults with congenital heart disease. Congenit Heart Dis 2019; 14: 517524.10.1111/chd.12754CrossRefGoogle Scholar
Wellnitz, K, Harris, LS, Sapru, A, Fineman, JR, Radman, M Longitudinal development of obesity in the post-Fontan population. Eur J Clin Nutr 2015; 69: 11051108.10.1038/ejcn.2015.68CrossRefGoogle ScholarPubMed
Gates, AB Making every contact count for physical activity- for tomorrows patients: the launch of the interdisciplinary, undergraduate, resources on exercise medicine and health in the UK. Br J Sports Med 2016; 50: 322323.10.1136/bjsports-2015-095489CrossRefGoogle Scholar
Antenstaedt, R Where to target ‘making every contact count’. Br J Hosp Med 2015; 76: 556557.10.12968/hmed.2015.76.10.556CrossRefGoogle Scholar
Darzi, J Be nutrition aware in primary care: making every contact count. Br J Gen Pract 2014; 64: 554555.CrossRefGoogle ScholarPubMed
Karagiozoglou – Lampoudi, T, Daskalou, E, Lampoudis, D, Apostolou, A, Agakidis, C Computer-based malnutrition risk calculation may enhance the ability to identify pediatric patients at malnutrition-related risk for unfavourable outcome. J Parenter Enteral Nutr 2015; 39: 418425.CrossRefGoogle Scholar
Marino, LV, Thomas, PC, Beattie, RM Screening tools for paediatric malnutrition: are we there yet? Curr Opin Clin Nutr Metab Care 2018; 21: 184194.10.1097/MCO.0000000000000464CrossRefGoogle ScholarPubMed
Amritanshu, K, Kumar, A, Pathak, A, Garg, N, Banerjee, DP Prevalence and risk factors associated with hypertension in children and adolescents. Pediatr Oncall J 2015; 12: 4043.Google Scholar
Figure 0

Table 1. Primary cardiac pathology

Figure 1

Figure 1. Adult CHD: Blood pressure and BMI.

Figure 2

Table 2. Adult follow-up

Figure 3

Table 3. Paediatric follow-up