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Comparing the Efficacy of Paracetamol, Diclofenac, and Ketorolac on Post-Appendectomy Outcomes in Children and Adolescents
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Abstract

urgent surgical intervention and appendectomy until now represent standard treatment for uncomplicated cases of appendicitis. Nausea, vomiting and pain after surgery are the most frequent issues facing patients and affecting patient quality of life and responsible for many cases of readmission after surgery. Ketorolac and diclofenac represent the most commonly prescribed non-steroidal anti-inflammatory used in postoperative setting and they cause many side effects as gastrointestinal, kidney and cardiac adverse effect in addition to increased risk of bleeding. Paracetamol is currently among the most frequently prescribed medication worldwide and it can be used safely for all age groups. This study aimed to compare the analgesic efficacy and safety of paracetamol, diclofenac, and ketorolac when used after appendectomy and to assess their efficacy regarding nausea and vomiting in children and adolescents. A randomized, single-blinded, comparative, observational prospective clinical study was carried out on patients diagnosed with acute appendicitis and assigned for emergent appendectomy between October 2018 to May 2019 in Al- Zahraa Teaching Hospital in Al-Najaf province, Iraq.120 patients were randomly distributed into three groups who received diclofenac sodium suppositories (2mg/kg), IV Paracetamol )15mg/ kg every 6 hr.(, and IV  Ketorolac )0.5mg/ kg( immediately after surgery. All patients were observed for pain, nausea and vomiting and bleeding. Patients received ketorolac had a high percentage of the decrease in pain score between 30 and 60 min. after surgery, while paracetamol was the next and diclofenac sodium was the last. Regarding nausea and vomiting after surgery, ketorolac had higher percentage of the decrease in nausea, vomiting score during first day after surgery followed by diclofenac and paracetamol respectively. The present study also showed that there is no significant difference between groups regarding bleeding after surgery. It is concluded that ketorolac has higher analgesic efficacy compared with paracetamol and diclofenac with no risk of nausea and vomiting and bleeding when used after appendectomy.

Keywords: Postoperative pain, Ketorolac, Diclofenac, Paracetamol, Appendectomy.

 

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Publication Date
Mon Jun 01 2020
Journal Name
Journal Of Engineering
An An Accurate Estimation of Shear Wave Velocity Using Well Logging Data for Khasib Carbonate Reservoir - Amara Oil Field
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Shear and compressional wave velocities, coupled with other petrophysical data, are vital in determining the dynamic modules magnitude in geomechanical studies and hydrocarbon reservoir characterization. But, due to field practices and high running cost, shear wave velocity may not available in all wells. In this paper, a statistical multivariate regression method is presented to predict the shear wave velocity for Khasib formation - Amara oil fields located in South- East of Iraq using well log compressional wave velocity, neutron porosity and density. The accuracy of the proposed correlation have been compared to other correlations. The results show that, the presented model provides accurate

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Sat Jun 01 2024
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Case Studies In Chemical And Environmental Engineering
Optimization of photocatalytic process with SnO2 catalyst for COD reduction from petroleum refinery wastewater using a slurry bubble photoreactor
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Publication Date
Thu Feb 06 2020
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Waste foundry sand/MgFe-layered double hydroxides composite material for efficient removal of Congo red dye from aqueous solution
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An Integrated Information Gain with A Black Hole Algorithm for Feature Selection: A Case Study of E-mail Spam Filtering
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     The current issues in spam email detection systems are directly related to spam email classification's low accuracy and feature selection's high dimensionality. However, in machine learning (ML), feature selection (FS) as a global optimization strategy reduces data redundancy and produces a collection of precise and acceptable outcomes. A black hole algorithm-based FS algorithm is suggested in this paper for reducing the dimensionality of features and improving the accuracy of spam email classification. Each star's features are represented in binary form, with the features being transformed to binary using a sigmoid function. The proposed Binary Black Hole Algorithm (BBH) searches the feature space for the best feature subsets,

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