Pregnancy rates and outcomes in women with cystic fibrosis in the UK: comparisons with the general population before and after the introduction of disease-modifying treatment, 2003-17.

OBJECTIVE: To compare pregnancy rates and outcomes for women with cystic fibrosis in the UK with those of the general population and assess the effect of the introduction of disease-modifying treatment. DESIGN: A population-based longitudinal study, 2003-17. SETTING: United Kingdom. POPULATION: Women aged 15-44 years in the UK cystic fibrosis (CF) Registry compared with women in England and Wales. METHODS: We calculated pregnancy and live-birth rates for the CF population and the general population of England and Wales. For women with CF we compared pregnancy rates before and after ivacaftor was introduced in 2013. We further used CF registry data to assess pregnancy outcomes for mothers with CF, and to assess the relationship between maternal pre-pregnancy lung function and nutritional status and child gestational age. MAIN OUTCOME MEASURES: Pregnancy and live-birth rates and child gestational age. RESULTS: Of 3831 women with CF, 661 reported 818 pregnancies. Compared with the general population, the pregnancy rate was 3.3 times lower in the CF population (23.5 versus 77.7 per 1000 woman-years); the live-birth rate was 3.5 times lower (17.4 versus 61.4 per 1000 woman-years) with 70% of pregnancies in CF women resulting in live births; termination of pregnancy rates were also lower (9% versus 22%). Pregnancy rates increased post-ivacaftor for eligible women with CF, from 29.7 to 45.7 per 1000 woman-years. There was no association between pre-pregnancy lung function/nutrition status and gestational age. CONCLUSIONS: Pregnancy rates in women with CF are about one-third of the rates in the general population with favourable outcomes, and increased for eligible women post-ivacaftor. TWEETABLE ABSTRACT: Pregnancy rates in women with CF are about a third of the rate in England and Wales with 70% live births. Ivacaftor increases the rate.

Identifying children with Cystic Fibrosis in population-scale routinely collected data in Wales: A Retrospective Review.

INTRODUCTION: The challenges in identifying a cohort of people with a rare condition can be addressed by routinely collected, population-scale electronic health record (EHR) data, which provide large volumes of data at a national level. This paper describes the challenges of accurately identifying a cohort of children with Cystic Fibrosis (CF) using EHR and their validation against the UK CF Registry. OBJECTIVES: To establish a proof of principle and provide insight into the merits of linked data in CF research; to identify the benefits of access to multiple data sources, in particular the UK CF Registry data, and to demonstrate the opportunity it represents as a resource for future CF research. METHODS: Three EHR data sources were used to identify children with CF born in Wales between 1st January 1998 and 31st August 2015 within the Secure Anonymised Information Linkage (SAIL) Databank. The UK CF Registry was later acquired by SAIL and linked to the EHR cohort to validate the cases and explore the reasons for misclassifications. RESULTS: We identified 352 children with CF in the three EHR data sources. This was greater than expected based on historical incidence rates in Wales. Subsequent validation using the UK CF Registry found that 257 (73%) of these were true cases. Approximately 98.7% (156/158) of individuals identified as CF cases in all three EHR data sources were confirmed as true cases; but this was only the case for 19.8% (20/101) of all those identified in just a single data source. CONCLUSION: Identifying health conditions in EHR data can be challenging, so data quality assurance and validation is important or the merit of the research is undermined. This retrospective review identifies some of the challenges in identifying CF cases and demonstrates the benefits of linking cases across multiple data sources to improve quality.

Neurogenic ST depression in stroke.

BACKGROUND: Stroke is occasionally associated with ECG repolarization changes including ST depression. Recent evidence suggests a neurogenic contribution to these abnormalities in stroke patients. Animal studies implicate the insular cortex in cardiovascular control. We describe a patient with a left insular infarct and without cardiac or coronary artery disease, who developed ST depression indicating a neurogenic etiology. CASE DESCRIPTION: A 48 year-old female, with no risk factors for stroke, developed sudden expressive aphasia. MRI brain showed an infarct in the left insular cortex. Twenty-four hour Holter monitoring on the third day revealed transient ST depression more than 1.5 mm, which was not reproducible on subsequent monitoring. Transesophageal echo-cardiography (TEE) was normal. She had no cardiac symptoms and serial ECGs, cardiac enzymes (CKMB) and adenosine thallium scan were normal. To-date, there had been no cardiac events like congestive heart failure or myocardial ischemia. CONCLUSION: These findings suggest neurogenic ST depression is related to the left insular infarct in view of the normal adenosine thallium scan, non-reproducibility and evanescence of the ST segment changes and lack of associated cardiac symptoms. When neurogenic ST depression is combined with underlying coronary artery disease, it may adversely influence cardiac outcome after stroke.