Search published articles


Showing 2 results for Manouchehri
Evaluation of antibiotic administration for the treatment of acute pediatric diarrhea, Besat Hospital, Sanandaj, 2016
Pedram Ataee, Maryam Manouchehri , Masoumeh Abedini, Daem Roshani, Arman Malekiantaghi, Kambiz Eftekhari,
Volume 78, Issue 7 (October 2020)
Abstract
Background: Excessive and irrational use of antibiotics in the treatment of acute diarrhea has caused increased resistance to these medications. It is well defined that most cases of diarrhea in children do not require the use of antibiotics. This study was aimed to determine the status of antibiotic administration for treatment of acute diarrhea in children younger than five years. All who admitted at the pediatric ward of Besat Hospital in Sanandaj.
Methods: First, the study was approved by the ethics committee of Kurdistan University of Medical Sciences. The archived files of all children under 5 years with a positive history acute diarrhea who were admitted in Besat Hospital of Sanandaj during the period of 1 years, from May 2016 to May 2016 were reviewed. Demographic information such as age, gender, type of diarrhea, type of nutrition, type of the prescribed antibiotic, results of the stool and blood samples were collected and recorded in the questionnaire.In Stool samples the contained a large number of WBCs and RBCs along with high fever, Shigellosis were considered. The results were analyzed by SPSS software, version 23 (SPSS Inc., Chicago, IL, USA).
Results: A total of 1,029 cases were reviewed. 60% were boys. The highest incidence of diarrhea (75.5%) was observed at 12-24 months and the lowest rate of diarrhea was under 6 months (11.5%). The frequency of diarrhea was lower in winter than in other seasons. Only 31.49% of children received proper and rational treatment with antibiotics. The most commonly used antibiotics in hospitalized patients were ceftriaxone (94.5%) and before hospitalization was cefixime (39.5%). Based on the results of this study, it was found that 66.13% of children younger than 5 years with acute diarrhea had appropriate treatment. 31.94% of patients had inappropriate antibiotic therapy.
Conclusion: In most cases of acute diarrhea in children, no evidence of bacterial or parasitic infection was found. However, a high percentage of patients received antibiotics without laboratory evidence (stool testing).

Providing a model for predicting blood pressure fluctuations after induction of general anesthesia with data mining: a brief report
Monireh Hosseini, Zahra Manouchehri ,
Volume 79, Issue 12 (March 2022)
Abstract
Background: Fluctuations in blood pressure after induction of general anesthesia have played a significant role in complications of surgery. Therefore, the present study was performed by identifying the causes of blood pressure fluctuations after induction of anesthesia, predicting and preventing them.
Methods: For this study which is a retrospective cohort, data mining methods in the data set including the information related to 3150 patients who underwent anesthesia and surgery from April 2018 to September 2019 in Imam Khomeini Hospital in Kermanshah were used. The data set included patients aged 18 years and older (age range of 18 to 96) who underwent a general anesthesia induction test using Propofol and subsequently endotracheal intubation for non-cardiac surgery. If patients did not have intubation, data were missing, or patients underwent intubation after repeated trials, they got excluded. In total, 2640 patients were included in this analysis. Preoperative patient clinical information was collected from pre-anesthesia evaluation records. Intraoperative data were obtained from computer anesthesia records. This data from the patient monitoring system and the anesthesia machine was automatically stored in the anesthesia files, while drug doses and anesthesia techniques were recorded manually. The data were then pre-processed using SPSS software, version 26 (IBM SPSS, Armonk, NY, USA).
Results: In this study, 53 features of patients' records were used (The maximum number of features used in previous studies were 48 features, which compared to them, 5 new features were included in the study) for which a P-value was calculated. Finally, features with a P<0.05 (Indicates the level of significance of the variable) were selected. Then, three data mining algorithms, logistic regression, neural networks and decision tree (the most repetitive data mining algorithms based on previous studies) were used to predict blood pressure. Also, using the criteria of accuracy, precision, sensitivity and F function, the performance of three prediction algorithms in data mining was evaluated.
Conclusion: Six features with P<0.05 were selected that the logistic regression model was more accurate, which was presented as the final model for predicting increased blood pressure fluctuations with path coefficients.
 

Page 1 from 1     

© 2025 , Tehran University of Medical Sciences, CC BY-NC 4.0

Designed & Developed by : Yektaweb