Bronchiectasis in children following kidney transplantation in New Zealand.

AIM: Bronchiectasis is an acquired chronic respiratory condition with a relatively high incidence in New Zealand children. Bronchiectasis following kidney transplant has been reported internationally. This study aimed to identify the incidence rate of bronchiectasis following paediatric kidney transplantation. Secondary aims were to assess the impact on kidney allograft function and identify risk factors that might prompt earlier diagnosis. METHODS: Case control study of children who developed bronchiectasis following kidney transplant in New Zealand. All children who were transplanted during the 16-year period from 2001 to 2016 were included. Each identified case was matched with two controls (children who did not develop bronchiectasis and received a kidney transplant within the closest time period to their matched case). Data were collected on baseline demographics, clinical variables, immunosuppression and allograft function. RESULTS: Of 95 children who had a kidney transplant during the specified time period, eight (8.4%) developed bronchiectasis at a median of 4 years post-transplant. The mean incidence rate of bronchiectasis was 526 cases per 100 000 paediatric kidney transplant population per year. The majority of children were Maori or Pasifika ethnicity and lived in areas of greater socio-economic deprivation. Immunosuppression burden and allograft function were not significantly different between groups. CONCLUSIONS: The incidence rate of bronchiectasis following paediatric kidney transplantation is substantially higher than the baseline paediatric incidence rate in New Zealand. A high index of suspicion for bronchiectasis and prompt investigation of children post kidney transplantation with a history of recurrent lower respiratory tract infection or chronic cough are advised.

Paediatric CPAP in the digital age.

OBJECTIVES: Adherence to Continuous Positive Airway Pressure (CPAP) in children can be challenging. Advancements in CPAP technology have potential to influence adherence. The aim of this study was to compare adherence rates of children with obstructive sleep apnoea (OSA) initiated on autotitrating CPAP (APAP) with remote modem monitoring compared to a cohort started on fixed pressure CPAP alone. METHODS: Children aged over 3 years starting APAP at our centre between February 2017 and February 2020 were included. Therapy data was obtained for the initial 90 days. Data was compared to a cohort of children started on CPAP between July 2004 and September 2008. RESULTS: A total of 61 patients with a median age of 14.3 years formed the APAP group, and were significantly older than the CPAP group who had a median age of 8.6 years (p = 0.02). Co-morbid conditions were present in 51% compared with 69% in the earlier cohort (p = 0.11). No significant difference was found in any adherence parameters between the groups. The value closest to achieving a significant difference was hours used per day used, with an median of 5.2 h in the CPAP group compared with 7.0 h in the APAP group (p = 0.07). Two-way ANOVA including age group (above or below 13 years) showed that both age group and treatment group (CPAP vs APAP) were significantly associated with a difference in adherence (F = 4.41, p = 0.006), with mean hours used on days used being highest in the APAP group aged under 13 years. However no significant interaction was found between age and treatment group. CONCLUSION: Despite the convenience for patients with outpatient initiation and ability to achieve optimal pressures quickly and remotely, our results show no improvement in adherence using APAP with remote monitoring, with the possible exception of children aged under 13 years. A large randomized controlled trial would be required to confirm these findings.

Tools in Asthma Evaluation and Management: When and How to Use Them?

The goals of asthma management are accurate diagnosis, prompt initiation of treatment and monitoring of disease progression to limit potential morbidity and mortality. While the diagnosis and management is largely based on history taking and clinical examination, there are an increasing number of tools available that could be used to aid diagnosis, define phenotypes, monitor progress and assess response to treatment. Tools such as the Asthma Predictive Index could help in making predictions about the possibility of asthma in childhood based on certain clinical parameters in pre-schoolers. Lung function measurements such as peak expiratory flow, spirometry, bronchodilator responsiveness, and bronchial provocation tests help establish airway obstruction and variability over time. Tools such as asthma questionnaires, lung function measurements and markers of airway inflammation could be used in combination with clinical assessments to assess ongoing asthma control. Recent advances in digital technology, which open up new frontiers in asthma management, need to be evaluated and embraced if proven to be of value. This review summarises the role of currently available tools in asthma diagnosis and management. While many of the tools are readily available in resource rich settings, it becomes more challenging when working in resource poor settings. A rational approach to the use of these tools is recommended.