Total no. of patient (100) stool samples were collected, during the period from February to the end of May of 2008, for children under two years old suffering from non-bloody and bloody diarrhea at (Children Welfare Teaching Hospital) in Baghdad. The study evaluates the relationship between etiological agent of diarrhea and sex, age group, type of feeding, presence of blood in stool of the patients. All samples were examined microscopically to identify parasitic agent and serological test for Rotavirus to identify viral infection, also biochemical and serological tested for specimen's culture on different culture media and antibiotic sensitivity test. Results show from 100 cases 64] represents the etiological agent of diarrhea and the most common of this agent was Rotavirus represent (37.5 %), respectively then Entamoeba histolytica (21.9 %), other agents were include Proteus (12.5 %), Enteropathogenic E.coli (10.9 %), Citrobacter braakii (7.8 %), Salmonella typhi (6.3 %), and Giardia lamblia (3.1 %). The remaining 36 isolates represent of unknown etiological agent for another's pathogen.The prevalence ratio of infection in male (75.0 %) was more than in female (25.0 %), in the first year of age especially in the age group (0-6) months (42.2 %). children depending on artificial feeding represent about (57.8 %) higher natural and mixed feeding, the bloody diarrhea associated with Entamoeba histolytica (57.1 %) in contrast to some etiological agent of non-bloody diarrhea. Eleven types of antibiotics were used for sensitivity test show all serotype of Enteropathogenic E.coli and Salmonella typhi are sensitive to Imipenem and Ciprofloxacin. The predominant serotypes of Enteropathogenic E.coli which represent serotype O111 and serotype O125 these strains show resistance to Cefotaxime (CTX), Trimethoprim-sulfamethaxazole (SXT), Ampicillin (AM), Metronidazole (MET), Cefoperazone (CEP), Cefixime (CFM), also the serotype O111 resistance to Gentamicin (CN) represent (45.0 %), while the most resistance of Salmonella was to Amikacin (100.0 %). This may reflect the fact that the increased resistance in older children and adult may be associated with the development of immunity or the loss of receptors for some specific adhesion. In Iraq Rotavirus infection is estimated to account for (10-29 %) in early childhood, While in neighboring countries the rate ranges between (19-46 %). The study show infected males more than female and the highest diarrheal infection was caused by Rotavirus, the Imipenem and Ciprofloxacin antibiotic was the most effective one against pathogenic strains of Enteropathogenic E.coli and Salmonella typhi while all isolates were resistant to Trimethoprim-Sulfamethaxazole, Ampicillin, Metronidazole.
The current study aimed to isolate and diagnose the fungi associated with the inflammatory bowel disease patients with 150 samples distributed between 50 samples from Crohn's patients and 50 samples from ulcerative colitis patients, 50 control from Al-Kindy Al Teaching Hospital in Baghdad, Baghdad. Five types of yeast were isolated and identified, namely C. albicans, C.glabarta, Tropicales, C. parapsilosis, C. and C., krusi C. parapsilosis and.and Aspergillus, Penicillium, Muocer, Rhizopous, Saccharomycosis, and Cryptococcus, The results indicated the dominance of Candida spp. In crohn’s disease, the frequency of isolated Candida albicans was 24 (58.54%), Candida glabrata 11 (26.86%), Candida tropicalis 5 (12.2%) and Candida krusi was 1 (
... Show MoreA survey statistician for cholera in Iraq for 1980 and until 2003 show that cholera is endemic in Iraq and that the highest number of casualties recorded in the years 1998-1999 and increasing spread of the disease during the wars in hot climates, wet a study bacteriological used where circles selective and tests Alkouhaoah examinations serological system
Coronary heart disease (CHD) is the leading cause of death in United State (U.S.). Controlling of modifiable risk factors such as smoking, hypertension (HT), diabetes mellitus (D.M.), dyslipidemia, physical inactivity & obesity will prevent other serious cardiovascular complications
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The aim of the present study was to demonstrate the possible role of statins on the inflammatory biomarkers in patients with periodontal disease (PD) This cross-sectional study involved 74 patients with PD and/or dyslipidemia divided into Group A: 34 patients with PD (nonstatins users); Group B: 40 patients with PD (statins users); and Group C: 30 healthy controls. Total cholesterol (TC), triglyceride (TG) and high-density lipoprotein, C-reactive protein (CRP), interleukin-6 (IL-6), tumor necrosis factor alpha (TNF-α), and malondialdehyde (MDA) were measured . Blood pressure prolife and indices of PD were evaluated in each group. Statistical analysis was conducted by using SPSS version 20.0.
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This study was conducted to evaluate the efficacy of 6 isolates of Pseudomonas fluorescens and Trichoderma harzianum and there combination against Fusarium tomato wilt disease caused by Fusarium oxysporum F.sp. Lycopersisi under green house condition .The isolates of bacteria (B3) and Trichoderma (T1) were found to be highly effective in reducing the disease incidence to 13.3% , 21% respectively , compared to control treatment (40%).Furthermore, disease severity was reduced to 28 and 30% respectively in comparison to control (90%) .Colonization of the roots (cfu /g fresh root weight )by the two isolates whether alon or together was extremely high . The combination treatment had a high ability in reducing disease incidenece and sev
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Thyroid disease is a common disease affecting millions worldwide. Early diagnosis and treatment of thyroid disease can help prevent more serious complications and improve long-term health outcomes. However, thyroid disease diagnosis can be challenging due to its variable symptoms and limited diagnostic tests. By processing enormous amounts of data and seeing trends that may not be immediately evident to human doctors, Machine Learning (ML) algorithms may be capable of increasing the accuracy with which thyroid disease is diagnosed. This study seeks to discover the most recent ML-based and data-driven developments and strategies for diagnosing thyroid disease while considering the challenges associated with imbalanced data in thyroid dise
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