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1.
PLoS One ; 7(9): e44533, 2012.
Article in English | MEDLINE | ID: mdl-23028555

ABSTRACT

BACKGROUND: Acute diarrhea is a major cause of childhood morbidity and mortality worldwide. Its microbiological causes and clinico-epidemiological aspects were examined during the rainy seasons from 2008 to 2009 in 14 districts in Madagascar. METHODS: Stool specimens of 2196 children with acute diarrhea and 496 healthy children were collected in a community setting. Intestinal parasites were diagnosed by microscopy and bacteria by culturing methods. Rota-, astro and adenoviruses were identified using commercially available ELISA kits and rotaviruses were confirmed using reverse transcriptase polymerase chain reaction (RT-PCR). RESULTS: Intestinal microorganisms were isolated from 54.6% of diarrheal patients and 45.9% of healthy subjects (p = <0.01). The most common pathogens in diarrheic patients were intestinal parasites (36.5%). Campylobacter spp. and Rotavirus were detected in 9.7% and 6.7% of diarrheic patients. The detection rates of Entamoeba histolytica, Trichomonas intestinalis and Giardia lamblia were much greater in diarrheal patients than in non diarrheal subjects (odds ratios of 5.1, 3.2, 1.7 respectively). The abundance of other enteropathogens among the non diarrheal group may indicate prolonged excretion or limited pathogenicity. CONCLUSION: In developing countries, where the lack of laboratory capacities is great, cross sectional studies of enteropathogens and their spatial distribution, including diarrheal and non diarrheal subjects, are interesting tools in order to advise regional policies on treatment and diarrheic patient management.


Subject(s)
Diarrhea/epidemiology , Diarrhea/etiology , Case-Control Studies , Child, Preschool , Cross-Sectional Studies , Enzyme-Linked Immunosorbent Assay , Female , Geography , Humans , Infant , Infant, Newborn , Madagascar/epidemiology , Male , Reverse Transcriptase Polymerase Chain Reaction
2.
J Infect Dev Ctries ; 4(2): 74-82, 2010 Mar 08.
Article in English | MEDLINE | ID: mdl-20212337

ABSTRACT

BACKGROUND: In developing countries, knowledge of antimicrobial resistance patterns is essential to define empirical therapy. METHODOLOGY: All the surgery and intensive care wards of two hospitals in Antananarivo were included to study the antimicrobial susceptibility of the pathogenic bacteria causing nosocomial infections. A repeated cross-sectional survey was conducted between September 2006 and March 2008, one day per week. Isolates were identified using classical methods, and resistance to antibiotics was assessed according to the recommendations of the Antibiogram Committee of the French Microbiology Society. RESULTS: Clinical specimens from 706 from 651 patients were collected. Of the 533 bacterial pathogens, 46.7% were Enterobacteriaceae, 19.3% were Staphylococcus aureus, and 19.1% were pathogens from the hospital environment (Pseudomonas aeruginosa and Acinetobacter baumannii).Frequencies of resistance were high, particularly in Enterobacteriaceae; however, the rate of Staphylococcus aureus isolates resistant to oxacillin (13.6 %) was moderate and all these isolates were susceptible to glycopeptids. The percentages of isolates susceptible to ceftazidim were 81.8% for E. coli, 60.9% for Klebsiella, and 52.5% for Enterobacter spp. Resistance to third-generation cephalosporins was due to extended spectrum betalactamases (ESBL). Multivariate analysis showed that diabetes (adjusted OR: 3.9) and use of an invasive procedures (adjusted OR: 3.5) were independent risk factors for resistance to third-generation cephalosporins. CONCLUSION: A nationwide surveillance programme is needed to monitor the microbial trends and antimicrobial resistance in Madagascar.


Subject(s)
Anti-Infective Agents/pharmacology , Bacteria/drug effects , Bacterial Infections/microbiology , Cross Infection/microbiology , Drug Resistance, Bacterial , Intensive Care Units , Critical Care , Cross-Sectional Studies , Drug Resistance, Multiple , Female , Humans , Madagascar , Male , Multivariate Analysis , Risk Factors
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