Reliability, factor analysis and internal consistency calculation of the Insomnia Severity Index (ISI) in French and in English among Lebanese adolescents.

Objectives: Our goal is to validate and to verify the reliability of the French and English versions of the Insomnia Severity Index (ISI) in Lebanese adolescents. Study design: A cross-sectional study was implemented. Methods: 104 Lebanese students aged between 14 and 19 years participated in the study. The English version of the questionnaire was distributed to English-speaking students and the French version was administered to French-speaking students. A scale (1 to 7 with 1 = very well understood and 7 = not at all) was used to identify the level of the students' understanding of each instruction, question and answer of the ISI. The scale's structural validity was assessed. The factor structure of ISI was evaluated by principal component analysis. The internal consistency of this scale was evaluated by Cronbach's alpha. To assess test–retest reliability the intraclass correlation coefficient (ICC) was used. Results: The principal component analysis confirmed the presence of a two-component factor structure in the English version and a three-component factor structure in the French version with eigenvalues >1. The English version of the ISI had an excellent internal consistency (α = 0.90), while the French version had a good internal consistency (α = 0.70). The ICC presented an excellent agreement in the French version (ICC = 0.914, CI = 0.856–0.949) and a good agreement in the English one (ICC = 0.762, CI = 0.481–890). The Bland–Altman plots of the two versions of the ISI showed that the responses over two weeks' were comparable and very few outliers were detected. Conclusion: The results of our analyses reveal that both English and French versions of the ISI scale have good internal consistency and are reproducible and reliable. Therefore, it can be used to assess the prevalence of insomnia in Lebanese adolescents

Influence of medically assisted reproduction techniques on crown-rump length and biochemical markers of trisomy 21 in the first trimester of pregnancy

Objective: To determine whether there is a difference between the known gestational age in pregnancies conceived after IVF and the estimated gestational age based on the crown-rump length (CRL) measurement during the first trimester.Design: We retrospectively (between 2007 and 2012) studied a cohort of 6,739 patients who underwent ultrasonography between 11 and 13+6 weeks of amenorrhea.Setting: Hospital.Patient(s): Group A consisted of 6,621 patients with regular menses whose term was calculated based on the date of their last menstrual period (LMP). Group B consisted of 529 patients whose pregnancies had been achieved by IVF and in whom term was calculated based on the date of fresh or frozen ET.Intervention(s): None.Main outcome measure(s): The gestational age difference was obtained by comparing the age obtained by measuring the CRL (Robinson's curve) with the gestational age calculated in accordance with LMP in group A or with ET day in group B.Result(s): The gestational age difference was significantly more in group B (2.3 days vs. 0.84 days in group A). We found a significant difference regarding biochemical markers for trisomy 21 to the detriment of group B with a significantly reduced pregnancy-associated protein P-A multiple of median (0.78 vs. 0.92).Conclusion(s): There appears to be a small difference in CRL development between spontaneous pregnancies and pregnancies conceived by assisted reproductive technology (ART). Specific ultrasonographic curves for pregnancies conceived by ART would be more relevant and precise. The underlying pathophysiological mechanisms are not very clear and offer possibilities for future research

Tailored telephone counseling to increase adherence of underusers in a population-based colorectal cancer screening program with FOBT: a randomized controlled trial

International audienc

Evaluating the Portability of Rheumatoid Arthritis Phenotyping Algorithms: case study on French EHRs

International audiencePrevious work has successfully used machine learning and natural language processing for the phenotyping of Rheumatoid Arthritis (RA) patients in hospitals within the United States and France. Our goal is to evaluate the adaptability of RA phenotyping algorithms to a new hospital, both at the patient and encounter levels. Two algorithms are adapted and evaluated with a newly developed RA gold standard corpus, including annotations at the encounter level. The adapted algorithms offer comparably good performance for patient-level phenotyping on the new corpus (F1 0.68 to 0.82), but lower performance for encounter-level (F1 0.54). Regarding adaptation feasibility and cost, the first algorithm incurred a heavier adaptation burden because it required manual feature engineering. However, it is less computationally intensive than the second, semi-supervised, algorithm