If you want to understand what it really means to live with cluster headache, imagine... fostering empathy through European patients' own stories of their experiences.

Cluster headache (CH) is arguably the most severe pain condition that afflicts humans. The severity of the pain has earned it the nickname "suicide headache". Understanding how CH impacts on those who suffer from it is essential, because this understanding creates empathy, which is so valuable to these patients. On the occasion of Cluster Headache Day 2017, we asked CH patients from different European countries to share their experiences, in order to help people to imagine what it means to live with the condition. Here, we look at some extracts from their stories. These CH patients' direct accounts provide an important illustration of the clinical features and consequences of the disease, helping to contextualise it and its psychological and social consequences. Reports of CH patients' first-person accounts might help to underline the physicians' role and responsibility with regard to the psychological and social consequences of this disease.

Infections in non-splenectomized persistent or chronic primary immune thrombocytopenia adults: risk factors and vaccination effect.

Essentials The risk factors for infection in immune thrombocytopenia are not well known. We conducted a national pharmacoepidemiological study. Pulmonary disease, corticosteroids and rituximab were the main risk factors for infections. Pneumococcal and influenza vaccines were protective against infections. SUMMARY: Introduction Risk factors for infection and protective effect of vaccines in immune thrombocytopenia (ITP) patients in the era of rituximab therapy are unknown. Objectives To assess the risk factors for serious and non-serious infections (respectively, SIs and NSIs) in non-splenectomized adults treated for persistent or chronic primary ITP, including the effect of pneumococcal and influenza vaccines. Patients/Methods The population was the 2009-2012 FAITH cohort (n = 1805), which is the cohort of all incident (newly diagnosed) primary ITP adults treated > 3 months in France built into the national health insurance database (SNIIRAM). SIs were hospitalizations with any infection as the primary diagnosis code. NSIs were identified using out-of-hospital antibiotic dispensing. Cox models were performed. Results Incidence rates were 6.3/100 patient-years (95% confidence interval [CI], 5.4-7.4) for SIs (lower respiratory tract in 42.8% of the cases) and 100.5/100 patient-years (95% CI, 95.0-106.3) for NSIs. In multivariate analyses, increasing age and chronic pulmonary disease were associated with both SI and NSI occurrence. The hazard ratios (HRs) for corticosteroids and rituximab were, respectively, 3.83 (95% CI, 2.76-5.31) and 2.60 (95% CI, 1.67-4.03) for SIs and 2.46 (95% CI, 2.19-2.76) and 1.49 (95% CI, 1.28-1.74) for NSIs. Pneumococcal vaccine showed a protective effect for both SIs and NSIs (0.38 [95% CI, 0.20-0.73] and 0.52 [95% CI, 0.43-0.65], respectively), as did influenza vaccine (0.42 [95% CI, 0.27-0.64] and 0.49 [95% CI, 0.41-0.59], respectively). Conclusions Chronic pulmonary disease, corticosteroids and rituximab are the main risk factors for infections, whereas pneumococcal and influenza vaccines are protective against SIs and NSIs.

French health insurance databases: What interest for medical research?

French health insurance databases are organized since 2003 into a huge digital data warehouse, the Système national d'information inter-régime de l'assurance maladie (SNIIR-AM). It covers the entire French population (65 million inhabitants). In order to facilitate studies on more frequent conditions, a random sample of 1/97th of national health system beneficiaries has been built since 2005, called the échantillon généraliste des bénéficiaires (EGB). The aim of this article is to describe the main characteristics of the SNIIR-AM and the EGB, to detail their accessibility according to French law, and to present their strengths and limits. It is illustrated with the most recent studies conducted in these databases. These databases include demographic, out-hospital reimbursement (including drug dispensing), medical (costly long-term diseases, occupational diseases, sick-leaves…), and in-hospital data. All these data are prospectively recorded, individualized, made anonymous and linkable. Consequently, the SNIIR-AM is a very useful data source for epidemiological, pharmacoepidemiological and health economics studies, particularly for rare diseases. The EGB is appropriate for long-term research on more frequent diseases.