[Seroprevalence of toxoplasmosis in pregnant women in Annaba, Algeria]. / Séroprévalence de la toxoplasmose chez les femmes enceintes dans la wilaya d'Annaba, Algérie.

BACKGROUND: The aim of the study was to estimate the seroprevalence and risk factors of toxoplasmosis in pregnant women in the department of Annaba, Algeria. METHODS: We performed a cross-sectional study with analytical purposes. The study was collaboration between the laboratory of Parasitology-Mycology, Faculty of Medicine of Annaba and Parasite Biology Department at the Pasteur Institute of Algeria. A total of 1028 pregnant women who underwent prenatal diagnosis/visit were included over a period of 4 years from January 2006 to December 2009. Immunoglobulin G and M were assayed, using the microparticle enzyme method. The avidity test was used to determine the date of contamination according to age of pregnancy. Search for the parasite was made by inoculation of the placenta and cord blood in white mice. The study compared mother-to-child serological profiles using Western Blot (WB) IgG and IgM. Direct (not well-cooked meat) and indirect (presence of cat, gardening) indicators were recorded to search for parasite exposure. RESULTS: Seroprevalence was 47.8 % (95 % CI: 44.8 to 51.0) and the rate of active toxoplasmosis was 1.1 % (95 % CI 0.6 to 1.8). According to their immune status, this was the first serology for 41 % (CI95 %: 38.0-44.0) of women; 12 % (CI95 %: 10.5-14.6) of primiparous women had only one serology test during their entire pregnancy. Major risk factors were consumption of poorly-cooked meat and exposure to cats. CONCLUSION: Toxoplasmosis during pregnancy is a serious issue and an effective prevention program is needed.

[Use of the French medico-administrative database (PMSI) to detect nosocomial infections in the University hospital of Lyon]. / Intérêt de l'utilisation des données du Programme médicalisé des systèmes d'information (PMSI) pour la surveillance des infections nosocomiales aux Hospices Civils de Lyon.

BACKGROUND: Surveillance is an effective element in the fight against nosocomial infections, but the monitoring methods are often cumbersome and time consuming. The detection of infection in computerized databases is a means to alleviate the workload of health care teams. The objective of this study was to evaluate the performance of using discharge summaries in medico-administrative databases (PMSI) for the identification of nosocomial infections in surgery, intensive care and obstetrics. METHODS: The retrospective assessment study included patients who were hospitalized in general surgery, intensive care and obstetrics at different periods of time in 2006 and 2007 depending on the wards. Patients were monitored according to standard protocols which are coordinated at the regional level by the Southeast coordinating centre (CCLIN). The performance of identifying cases of nosocomial infection from discharge diagnoses coded by using the International Classification of Diseases (tenth revision) was evaluated by a study of sensitivity, specificity, positive and negative predictive values with their 95% confidence intervals. RESULTS: Using a limited number of diagnostic codes, the sensitivity and specificity were, respectively, 26.3% (95% CI 13.2-42.1) and 99.5% (95% 98.8-100.0) for the identification of surgical site infections. By expanding the number of diagnostic codes, the sensitivity and specificity were 78.9% (95% CI 65.8-92.1) and 65.7% (95% CI 61.0-70.3). The sensitivity and specificity for case identification of nosocomial infections in intensive care were 48.8% (95% CI 42.6-55.0) and 78.4% (95% CI 76.1-80.1), and were 42.9% (95% CI 25.0-60.7) and 87.3% (95% CI 85.2-89.3) for identification of postpartum infections. CONCLUSION: The PMSI is not a sufficiently efficient method in terms of sensitivity to be used in surveillance of nosocomial infections. A reassessment of the PMSI must be considered, with changes in coding of comorbidity that occurred in 2009.

[Seroprevalence of HIV infection in pregnant women in the Annaba region (Algeria)]. / Séroprévalence de l'infection VIH chez les femmes enceintes dans la région de Annaba (Algérie).

BACKGROUND: The goal of the study is to assess the prevalence and the risk factors of the infection by the human immunodeficiency virus (HIV) among pregnant women in the area of Annaba (Algeria). METHODS: We performed a cross-sectional study with analytical purposes. The study included 3044 pregnant women admitted to two regional hospitals within a period of time of five months. Two Elisa tests were used to determine the prevalence of HIV infection. An analysis of medical history and serum tests for biomarkers hepatitis virus B infection, hepatitis virus C infection and syphilis to determine the possible mode of contamination, by blood or sexual transmission. RESULTS: HIV prevalence was 5.3/1000 (CI 95%; 3.12-8.37), HBV prevalence 24.7/1000 (CI 95%; 19.6-30.7), HCV prevalence 6.3/1000 (CI 95%; 3.8-9.5) and syphilis prevalence 2.6/1000 (CI 95%; 1.2-5). On average, pregnant women infected by HIV were 33+/-5 years old, married, and had three children. The analysis of the markers of exposure risk investigated in our study showed that the pregnant women infected with HIV do not compose a specific risk group. Overall our results suggest that the more probable route of HIV transmission for women of the Annaba region is via heterosexual intercourse with spouse. CONCLUSION: The prevalence of HIV infection in Annaba remains high 5.3/1000, compared with the national average of 1/1000. In this region, pregnant women infected with HIV are not part of a group at particular risk. The HIV monitoring should be further strengthened in our country.

Automated detection of nosocomial infections: evaluation of different strategies in an intensive care unit 2000-2006.

The aim of this study was to evaluate seven different strategies for the automated detection of nosocomial infections (NIs) in an intensive care unit (ICU) by using different hospital information systems: microbiology database, antibiotic prescriptions, medico-administrative database, and textual hospital discharge summaries. The study involved 1,499 patients admitted to an ICU of the University Hospital of Lyon (France) between 2000 and 2006. The data were extracted from the microbiology laboratory information system, the clinical information system on the ward and the medico-administrative database. Different algorithms and strategies were developed, using these data sources individually or in combination. The performances of each strategy were assessed by comparing the results with the ward data collected as a national standardised surveillance protocol, adapted from the National Nosocomial Infections Surveillance system as the gold standard. From 1,499 patients, 282 NIs were reported. The strategy with the best sensitivity for detecting these infections using an automated method was the combination of antibiotic prescription or microbiology, with a sensitivity of 99.3% [95% confidence interval (CI): 98.2-100] and a specificity of 56.8% (95% CI: 54.0-59.6). Automated methods of NI detection represent an alternative to traditional monitoring methods. Further study involving more ICUs should be performed before national recommendations can be established.