Showing 4 results for Rajabi
M Rajabi, R Habibipour, S Vesaghati Ezatpour, S Vesaghati Ezatpour,
Volume 8, Issue 3 (Autumn[PERSIAN] 2014)
Abstract
Abstract
Background and objective: Antimicrobial and antiviral effects of Alloe Vera and Stachys inflata have been proved. We aimed to investigate the effects of extract of Alloe Vera and Stachys inflate on the growth of some bacteria to take the place of chemical drugs.
Material and Methods: the extracts of both plants were prepared by maceration method different concentrations were prepared using Mueller Hinton agar medium and tested by Disc diffusion. Furthermore, minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) were determined by the Microdilution method.
Results: The effect of Alloe Vera extract was significant on Staphylococcus aureus. MIC and MBC of Aloe Vera extract on Bacillus subtilis were obtained in 230 and 410 mg/ml, respectively, which were 500 and 714 mg/ml for Haemophilus influenza. The extract of gel of Alloe Vera had no effect on Bacillus subtilis. The extract of leaf and gel of Alloe Vera had an inhibitory effect on Haemophilus influenza and Pseudomonads aeraginosa. The extract of Stachys inflata had an inhibitory effect on Haemophilus influenza, but it did not have any on Pseudomonads aeraginosa. The Extract of Stachys inflata had no effect on Bacillus subtilis, while showing significant effect on Staphylococcus. Among antibiotics, Ofloxacin had an effect on Haemophilus influenza. The extract of both plants did not show any effect on Klebsiella pneumonia.
Conclusion: Given the effect of Alloe Vera and Stachys inflata in laboratory conditions, we hope that these extracts will be used instead of chemical substances for making nutritional supplements to control human diseases.
Key words: Alloe Vera, Antibacterial, Stachys Inflata, Extract
Mesgarian, F, Sharbatkhori, M, Mohammadi, R, Rajabi, Mh,
Volume 8, Issue 5 (winter[PERSIAN] 2015)
Abstract
Abstract Background and Objective: Cryptosporidium is a common protozoan causing diarrhea in human, specifically in children. Hence, we aimed to investigate the prevalence of this protozoan among diarrheic children hospitalized in Gonbad Kavus in 2011. Material and Methods: Three stool samples were collected from diarrheic children in two hospitals of Gonbad city and a relevant questionnaire was filled out for each child. The stool samples were concentrated by formalin ether method, and the infection was assessed by modified acid-fast staining method. Results: Of 547 children, 27 (4.9%) were infected with cryptosporidiosis. There was no significant relationship between the amount of infection and gender and habitation area (urban/ rural). The infection rate was significantly prevalent in 2-4-year-old children (P=0.013). The most and the least infection rate were observed in spring and winter, respectively (P< 0.0001). There was a significant association between the disease and keeping animal (P= 0.041) Conclusion: The prevalence of cryptosporidiosis in diarrheic children in Gonbad is almost equal to other regions of the country and keeping animal and spring season may be considered as the risk factors for the disease. Keywords: Cryptosporidium, Cryptosporidiosis, Diarrhea, Children, Golestan, Iran
Mm Soltan Dallal, Z Rajabi,
Volume 9, Issue 3 (Jul,Aug2015[PERSIAN] 2015)
Abstract
Abstract
Background and Objective: This study aimed to investigate the antimicrobial susceptibility of the most common pathogens in hospitalized neonates in Intensive Care Unit.
Material and Methods: In this one-year descriptive study, 150 blood samples of neonates in Intensive Care Unit of Bahrami hospital of Tehran were divided into two groups of early onset sepsis (the first 72 hours of life) and late onset sepsis (after the 72 hours of life). After isolating and identifying of bacteria, their antibiotics susceptibility was studied by Kirby- bauer method in accordance with CLSI guidelines.
Result: The most isolated organisms were Klebsiella pneumoniae (41.3%). Coagulase negative staphylococcus was the cause of early onset septicemia and Klebsiella pneumoniae of both early and late onset septicemia. The highest susceptibility in gram-negative microorganisms was shown to Ciprofloxacin (89.6%) and in gram positive to Vancomycin (82.8%).
Conclusion: Gram-negative bacteria are the main cause of contamination in NICU and ciprofloxacin is the most effective antibiotic. Thus, it is imperative that NICU should be extremely controlled.
Keywords: Septicemia; Antibiotic Susceptibility; Neonatal Intensive Care Unit
Vahid Tajari, Mohammad Fayaz, Mohammad Hosein Taziki Balajelini, Abdolhalim Rajabi, Mehran Hosseini,
Volume 18, Issue 1 (In press (Jan-Feb) 2024)
Abstract
Background: The outcome of hospitalized COVID-19 patients is predictable according to demographic, clinical, laboratory, and imaging risk factors. We aimed to determine the best outcome predictors and their trends during 30 days of hospitalization.
Methods: This retrospective study was conducted on moderate to severe hospitalized COVID-19 patients from 26 January 2020 to 13 January 2021. The length of stay in the hospital was considered as the time interval between admission and discharge, and the patient's final condition was defined as either dead or alive. Demographic, clinical, and laboratory data were collected from the hospital information system. The generalized additive model and the Cox regression model were used to model data.
Results: Of the 1520 hospitalized COVID-19 patients, 232 (15.26%) died and 1288 survived or reached the end of 30 days of hospitalization. We selected demographic, clinical, and 131 independent laboratory variables. Blood urea nitrogen (BUN) had a nearly double average in the dead group (44.603 [± 25.408] mg/dL) than the survived group (21.304 [± 13.318] mg/dL), and the lymphocyte (Lymph) count showed the opposite trend. The estimated hazard ratio (HR) of these 2 factors was higher than 1 and was statistically significant. In daily stay trends, the hazard function of them also increased rapidly after 15 days.
Conclusion: Blood urea nitrogen and complete blood count provide strong predictive clues about the prognosis of hospitalized COVID-19 patients, and rapid dynamic changes in the second week can predict a poor outcome in these patients.
