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This study explored the prospective use of the Ages and Stages Questionnaires-3 in follow-up after cardiac surgery.
Materials and Method:
For children undergoing cardiac surgery at 5 United Kingdom centres, the Ages and Stages Questionnaires-3 were administered 6 months and 2 years later, with an outcome based on pre-defined cut-points: Red = 1 or more domain scores >2 standard deviations below the normative mean, Amber = 1 or more domain scores 1–2 standard deviations below the normal range based on the manual, Green = scores within the normal range based on the manual.
Results:
From a cohort of 554 children <60 months old at surgery, 306 participated in the postoperative assessment: 117 (38.3%) were scored as Green, 57 (18.6%) as Amber, and 132 (43.1%) as Red. Children aged 6 months at first assessment (neonatal surgery) were likely to score Red (113/124, 85.6%) compared to older age groups (n = 32/182, 17.6%). Considering risk factors of congenital heart complexity, univentricular status, congenital comorbidity, and child age in a logistic regression model for the outcome of Ages and Stages score Red, only younger age was significant (p < 0.001). 87 children had surgery in infancy and were reassessed as toddlers. Of these, 43 (49.2%) improved, 30 (34.5%) stayed the same, and 13 (16.1%) worsened. Improved scores were predominantly in those who had a first assessment at 6 months old.
Discussion:
The Ages and Stages Questionnaires results are most challenging to interpret in young babies of 6 months old who are affected by complex CHD.
Children with CHD are at heightened risk of neurodevelopmental problems; however, the contribution of acute neurological events specifically linked to the perioperative period is unclear.
Aims:
This secondary analysis aimed to quantify the incidence of acute neurological events in a UK paediatric cardiac surgery population, identify risk factors, and assess how acute neurological events impacted the early post-operative pathway.
Methods:
Post-operative data were collected prospectively on 3090 consecutive cardiac surgeries between October 2015 and June 2017 in 5 centres. The primary outcome of analysis was acute neurological event, with secondary outcomes of 6-month survival and post-operative length of stay. Patient and procedure-related variables were described, and risk factors were statistically explored with logistic regression.
Results:
Incidence of acute neurological events after paediatric cardiac surgery in our population occurred in 66 of 3090 (2.1%) consecutive cardiac operations. 52 events occurred with other morbidities including renal failure (21), re-operation (20), cardiac arrest (20), and extracorporeal life support (18). Independent risk factors for occurrence of acute neurological events were CHD complexity 1.9 (1.1–3.2), p = 0.025, longer operation times 2.7 (1.6–4.8), p < 0.0001, and urgent surgery 3.4 (1.8–6.3), p < 0.0001. Unadjusted comparison found that acute neurological event was linked to prolonged post-operative hospital stay (median 35 versus 9 days) and poorer 6-month survival (OR 13.0, 95% CI 7.2–23.8).
Conclusion:
Ascertainment of acute neurological events relates to local measurement policies and was rare in our population. The occurrence of acute neurological events remains a suitable post-operative metric to follow for quality assurance purposes.
The objective of this study was to prospectively validate the “Brief Developmental Assessment”, which is a new early recognition tool for neurodevelopmental abnormalities in children with heart disease that was developed for use by cardiac teams.
Methods
This was a prospective validation study among a representative sample of 960 pre-school children with heart disease from three United Kingdom tertiary cardiac centres who were analysed grouped into five separate age bands.
Results
The “Brief Developmental Assessment” was successfully validated in the older four age bands, but not in the youngest representing infants under the age of 4 months, as pre-set validation thresholds were met – lower 95% confidence limit for the correlation coefficient above 0.75 – in terms of agreement of scores between two raters and with an external measure the “Mullen Scales of Early Learning”. On the basis of American Association of Pediatrics Guidelines, which state that the sensitivity and specificity of a developmental screening tool should fall between 70 and 80%, “Brief Developmental Assessment” outcome of Red meets this threshold for detection of Mullen scores >2 standard deviations below the mean.
Conclusion
The “Brief Developmental Assessment” may be used to improve the quality of assessment of children with heart disease. This will require a training package for users and a guide to action for abnormal results. Further research is needed to determine how best to deploy the “Brief Developmental Assessment” at different time points in children with heart disease and to determine the management strategy in infants younger than 4 months old.
Neurodevelopmental abnormalities are common in children with CHD and are the highest-priority concerns for parents and professionals following cardiac surgery in childhood. There is no additional routine monitoring of development for children with CHD in the United Kingdom; hence, neurodevelopmental concerns may be detected late, precluding early referral and intervention.
Methods
An early recognition tool – the “Brief Developmental Assessment” – was developed using quality improvement methodology involving several iterations and rounds of pilot testing. Our requirements were for a tool covering important developmental domains and practicable for use within inpatient and outpatient settings by paediatric cardiac health professionals who are non-developmental specialists, without specialised equipment and which involved direct observation, as well as parental report.
Results
Items were included in the tool based on existing developmental measures, covering the domains of gross and fine motor skills, daily living skills, communication, socialisation, and general understanding. Items were developed for five age bands – 0–16 weeks, 17–34 weeks, 35–60 weeks, 15 months–2.9 years, and 3–4.9 years – and the final versions included a traffic light scoring system for identifying children with possible delay in any or all domains. Preliminary testing indicated excellent inter-rater reliability, an ability to detect children with a diagnosis known to be associated with developmental delay, and largely acceptable internal reliability.
Conclusion
We report the evolution and preliminary testing of an early recognition tool for assessing the development of children with heart disease; this was encouraging and sufficiently good to support further validation in a larger study.
This study aimed to assess the psychological well-being and quality of life in children with hypertrophic cardiomyopathy and the potential psychosocial impact of screening.
Methods
A total of 152 children (aged 3–18 years) attending a specialist paediatric hypertrophic cardiomyopathy clinic, and their parents completed the Generic Core Scales and Cardiac Module of the Paediatric Quality of Life Inventory (PedsQL) questionnaire as well as the Strengths and Difficulties Questionnaire; 21 patients (14%) had hypertrophic cardiomyopathy (group A); 23 children (15%) harboured hypertrophic cardiomyopathy-causing sarcomeric mutations with normal echocardiograms (group G); and 108 children (71%) had a family history of hypertrophic cardiomyopathy with normal investigations and attended for clinical cardiological screening (group S).
Results
In group A, mean PedsQLTM total scores reported by children and parents were lower than those reported by unaffected children (p<0.001). There was no significant difference between unaffected and gene-positive patients. Mean Cardiac module PedsQLTM total scores by children and parents were lower in children with hypertrophic cardiomyopathy compared with unaffected patients [mean child-reported total score 86.4 in group S versus 72.3 in group A (p<0.001) and 80.2 in group G (p=0.25); mean parent-reported total score 91.6 in group S versus 71.4 in group A (p<0.001) and 87 in group G (p=0.4)]. There was no significant difference between group S and group G on any of the scales, or between the three groups of patients in the mean Strengths and Difficulties Questionnaire scores.
Conclusions
Children with hypertrophic cardiomyopathy have a significantly reduced quality of life. Importantly, Quality-of-Life scores among unaffected children attending for screening were not different compared with scores from a normative UK population.
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