In women with pre-existing immune thrombocytopenic purpura (ITP), the effect of pregnancy on the course of the disease is poorly known. We performed a dual-centre retrospective cohort study of 118 pregnancies in 82 women with primary ITP. In early pregnancy, the platelet count was <100 × 10(9) /l in 35·6% of pregnancies. During pregnancy the median platelet count nadir was 66 × 10(9) /l (25th-75th percentile: 42-117), with platelet count <30 × 10(9) /l for 26 pregnancies (22%). In 49% of pregnancies, a significant decrease of the platelet count required treatment at least transiently in preparation for delivery. At the time of delivery, the median platelet count was 110 × 10(9) /l (77-155). Compared to before pregnancy, at 3 months post-partum, only 11% of pregnancies [95% confidence interval (95% CI): 6·8-20·2] showed disease worsening. Previous splenectomy was the only factor significantly associated with ITP worsening after pregnancy (53·9% vs. 10·3%, P < 0·001). For 8·3% of the pregnancies (95% CI: 3·8-15·1), neonatal thrombocytopenia required treatment, especially in case of previous maternal splenectomy (adjusted odds ratio 16·7, 95% CI: 2·61-106). The overall risk of exacerbation of ITP and severe thrombocytopenia during pregnancy is acceptable.
Delphi technique is a structured process commonly used to developed healthcare quality indicators, but there is a little recommendation for researchers who wish to use it. This study aimed 1) to describe reporting of the Delphi method to develop quality indicators, 2) to discuss specific methodological skills for quality indicators selection 3) to give guidance about this practice.
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JoVE Visualize is a tool created to match the last 5 years of PubMed publications to methods in JoVE's video library.
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In developing our video relationships, we compare around 5 million PubMed articles to our library of over 4,500 methods videos. In some cases the language used in the PubMed abstracts makes matching that content to a JoVE video difficult. In other cases, there happens not to be any content in our video library that is relevant to the topic of a given abstract. In these cases, our algorithms are trying their best to display videos with relevant content, which can sometimes result in matched videos with only a slight relation.