Public Health and Epidemiology Informatics.

Objectives: To summarize current research in the field of Public Health and Epidemiology Informatics. Methods: The complete 2016 literature concerning public health and epidemiology informatics has been searched in PubMed and Web of Science, and the returned references were reviewed by the two section editors to select 14 candidate best papers. These papers were then peer-reviewed by external reviewers to allow the editorial team an enlightened selection of the best papers. Results: Among the 829 references retrieved from PubMed and Web of Science, three were finally selected as best papers. The first one compares Google, Twitter, and Wikipedia as tools for Influenza surveillance. The second paper presents a Geographic Knowledge-Based Model for mapping suitable areas for Rift Valley fever transmission in Eastern Africa. The last paper evaluates the factors associated with the visit of Facebook pages devoted to Public Health Communication. Conclusions: Surveillance is still a productive topic in public health informatics but other very important topics in public health are appearing.

Big data - smart health strategies. Findings from the yearbook 2014 special theme.

OBJECTIVES: To select best papers published in 2013 in the field of big data and smart health strategies, and summarize outstanding research efforts. METHODS: A systematic search was performed using two major bibliographic databases for relevant journal papers. The references obtained were reviewed in a two-stage process, starting with a blinded review performed by the two section editors, and followed by a peer review process operated by external reviewers recognized as experts in the field. RESULTS: The complete review process selected four best papers, illustrating various aspects of the special theme, among them: (a) using large volumes of unstructured data and, specifically, clinical notes from Electronic Health Records (EHRs) for pharmacovigilance; (b) knowledge discovery via querying large volumes of complex (both structured and unstructured) biological data using big data technologies and relevant tools; (c) methodologies for applying cloud computing and big data technologies in the field of genomics, and (d) system architectures enabling high-performance access to and processing of large datasets extracted from EHRs. CONCLUSIONS: The potential of big data in biomedicine has been pinpointed in various viewpoint papers and editorials. The review of current scientific literature illustrated a variety of interesting methods and applications in the field, but still the promises exceed the current outcomes. As we are getting closer towards a solid foundation with respect to common understanding of relevant concepts and technical aspects, and the use of standardized technologies and tools, we can anticipate to reach the potential that big data offer for personalized medicine and smart health strategies in the near future.

Pharmacovigilance data mining with methods based on false discovery rates: a comparative simulation study.

The early detection of adverse reactions caused by drugs that are already on the market is the prime concern of pharmacovigilance efforts; the methods in use for postmarketing surveillance are aimed at detecting signals pointing to potential safety concerns, on the basis of reports from health-care providers and from information available in various databases. Signal detection methods based on the estimation of false discovery rate (FDR) have recently been proposed. They address the limitation of arbitrary detection thresholds of the automatic methods in current use, including those last updated by the US Food and Drug Administration and the World Health Organization's Uppsala Monitoring Centre. We used two simulation procedures to compare the false-positive performances for three current methods: the reporting odds ratio (ROR), the information component (IC), the gamma Poisson shrinkage (GPS), and also for two FDR-based methods derived from the GPS model and Fisher's test. Large differences in FDR rates were associated with the signal-detection methods currently in use. These differences ranged from 0.01 to 12% in an analysis that was restricted to signals with at least three reports. The numbers of signals generated were also highly variable. Among fixed-size lists of signals, the FDR was lowered when the FDR-based approaches were used. Overall, the outcomes in both simulation studies suggest that improvement in effectiveness can be expected from use of the FDR-based GPS method.

False discovery rate estimation for frequentist pharmacovigilance signal detection methods.

Pharmacovigilance systems aim at early detection of adverse effects of marketed drugs. They maintain large spontaneous reporting databases for which several automatic signaling methods have been developed. One limit of those methods is that the decision rules for the signal generation are based on arbitrary thresholds. In this article, we propose a new signal-generation procedure. The decision criterion is formulated in terms of a critical region for the P-values resulting from the reporting odds ratio method as well as from the Fisher's exact test. For the latter, we also study the use of mid-P-values. The critical region is defined by the false discovery rate, which can be estimated by adapting the P-values mixture model based procedures to one-sided tests. The methodology is mainly illustrated with the location-based estimator procedure. It is studied through a large simulation study and applied to the French pharmacovigilance database.

[Psychiatric adverse effects of fluoroquinolone: review of cases from the French pharmacologic surveillance database]. / Effets indésirables psychiatriques des fluoroquinolones: cas notifiés à la pharmacovigilance française.

INTRODUCTION: Psychiatric adverse effects of fluoroquinolones are known for long, but can sometimes be missed. We analyse cases spontaneously reported to the French pharmacovigilance. METHODS: Cases of psychiatric adverse effects with fluoroquinolones reported to the French pharmacovigilance system were analysed. The studied period was from January 1985 and June 2002. Data analysed included age, sex, adverse effect, fluoroquinolone, seriousness and evolution. RESULTS: Five hundred ninety cases have been reported concerning 273 males and 316 females (sex unknown in 1 case). Mean age was 66 years (median: 70, range: 12-102). The most frequently reported psychiatric adverse effects were confusion (51%), hallucinations (27%), agitation (13%), delusion (12%), insomnia (8%), somnolence (4%) (several adverse effects could be associated in a single patient). Serious cases represented 21.7% (resulting in hospitalisation in most cases). Evolution was favourable in most cases (88.5%), and was unknown in 9.5% of cases. CONCLUSION: The number of cases reported during this period is moderate, but under-reporting probably interferes. The eventuality of this kind of adverse effect with fluoroquinolones should be kept in mind. Dose should be adjusted to renal function, especially in older patients.

[Aortic atheroma: not a sensitive indicators for coronary artery disease in patients with mitral valve disease]. / L'athérome aortique: indicateur peu sensible de coronaropathie dans les valvulopathies mitrales.

Aortic atheroma detected by transoesophageal echocardiography has been reported to be a good prognostic marker for coronary disease on angiography. The value of this detection in valvular heart disease would be to avoid preoperative coronary angiography in asymptomatic patients. The aim of this study was to assess the prognostic value of aortic atheroma in a population with a low prevalence of coronary artery disease in whom transoesophageal echocardiography was systematically performed. In addition, calcification of the aortic knuckle, a marker of atherosclerosis, was analysed by simple chest X-ray. One hundred and ninety two patients (103 men, 89 women; mean age: 63.1 +/- 15 years), operated for mitral valve replacement, underwent transoesophageal echocardiography, angiography, within 6 months, and chest X-ray. The cardiovascular risk factors, presence of aortic atherome, angiographic coronary artery disease and aortic calcification were studied. Aortic atheroma was observed in 72 patients (37.5%), usually in the descending thoracic aorta (73.6%). Coronary stenosis was observed in 36 patients (18.7%). On univariate analysis, aortic atherome predicted coronary stenosis with a sensitivity of 53%, specificity of 66% and positive predictive value of 26% and negative predictive value of 86%, compared with chest X-ray: 71%, 65%, 33% and 90%, respectively. In multivariate analysis, only hypercholesterolaemia, smoking and age predicted the presence of coronary artery disease. The presence of aortic atheroma was not predictive (p = 0.3). The authors conclude that aortic atheroma does not predict the presence of coronary artery disease in a patient population with mitral valve disease and a low prevalence of coronary artery disease. Simple chest X-ray has almost the same diagnostic value. The association of these two investigations does not give sufficient negative predictive values to avoid coronary angiography.

Prognostic factors after non-Hodgkin lymphoma in patients infected with the human immunodeficiency virus: Aquitaine Cohort, France, 1986-1997. Groupe d'Epidémiologie Clinique du SIDA en Aquitaine (GECSA).

BACKGROUND: The prognosis for survival of patients infected with the human immunodeficiency virus (HIV) who develop non-Hodgkin lymphoma (NHL) usually is considered to be poor. To the authors' knowledge the impact of highly active antiretroviral therapy, recently introduced in HIV disease case management, has not yet been studied in such circumstances. METHODS: All cases of NHL prospectively diagnosed between January 1986 and December 1997 among patients followed in the Aquitaine Cohort were reviewed. The Kaplan-Meier method and the proportional hazards model were used for statistical analysis. RESULTS: One hundred one NHL diagnoses were validated during the 12-year study period. The median proportional hazards cell count at the time of diagnosis of NHL was 112/mm(3). Histologic findings (Working Formulation classification) were: intermediate grade (N = 23), high grade (N = 61), other (N = 7), and undetermined (N = 10). In 56% of cases, staging classification was Ann Arbor Stage IV. Approximately 73% of patients received a specific NHL chemotherapy. During follow-up, 44% were treated with nucleoside reverse transcriptase inhibitors (NRTIs) alone and 18% with triple therapy including a protease inhibitor (PI). The median survival was 6.0 months. In multivariate analysis, after adjusting for age, year of NHL diagnosis, histologic type, medical center, and transmission category, the following factors recorded at the time of diagnosis of NHL were indicative of an increasing risk of death: CD4+ count

Factors affecting both peripheral blood progenitor cell mobilization and hematopoietic recovery following autologous blood progenitor cell transplantation in multiple myeloma patients: a monocentric study.

The aim of the study was to analyze the factors influencing peripheral blood progenitor cell (PBPC) collection after high-dose cyclophosphamide (HDCYC) (7 g/m2) and hematopoietic recovery after autologous transplantation of HDCYC-mobilized PBPC (ABPCT) in 116 patients with aggressive multiple myeloma (MM). Following HDCYC 74 patients received hematopoietic growth factors (HGF), either G-CSF (n = 19) or GM-CSF (n = 55). All the patients were subsequently planned to undergo ABPCT. PBPC collection was possible for 106 patients. The most important prognostic factor for collection of more than 25 x 10(4) CFU-GM cells/kg and 2 x 10(6) CD34+ cells/kg was the use of HGF (P = 0.002 and 0.009, respectively). Previous use of an alkylating agent, response to treatment before HDCYC, and interval between diagnosis and HDCYC were also significant factors (P = 0.004, 0.025 and 0.001, respectively). The number of CFU-GM cells infused was the most important parameter for rapid and complete hematological recovery after ABPCT (P < 0.0001). Thus the use of HGF post-HDCYC is the major factor which, associated with reduced time between diagnosis and HDCYC and the use of an alkylating agent, could increase the numbers of hematopoietic progenitors collected, and subsequently improve hematopoietic recovery following ABPCT in MM patients.

[Epidemiology of memory disorders]. / Epidémiologie des troubles de la mémoire.

To study the predictive value of memory complaints resulting in consultation with a GP as to the risk of subsequent dementia, we analysed the data from the follow-up of the Paquid cohort study carried out around Bordeaux. A sample of 1503 elderly people over 65, living at home and non-demented at the baseline screening, was considered. The risk of dementia was measured two and four years after the baseline screening: 60.8 per cent of subjects themselves perceived a memory impairment and 15.6 per cent expressed this complaint to their GP. Forty-eight developed a subsequent dementia. Taking the group without memory complaint as the reference set, three groups of elderly people could be recognized as at high risk of dementia: subjects with self-perceived memory impairment, consulting a GP with low memory performance or with normal memory performances, and subjects with memory complaints not resorting to a GP but with low memory performance. In non-demented elderly people, memory complaints expressed to the GP may be a strong predictor of dementia and should not be neglected.