Background: Acute appendicitis is a common surgical
problem that is associated with an acute-phase reaction.
Previous studies have shown that cytokines and acutephase proteins are activated and may serve as indicators for
appendicitis.
Objective: The aim of this study was to evaluate of serum
levels of interleukin-6 (IL-6) in correlation to the severity
to acute appendicitis.
Methods: This is a prospective study from December 2008
to March 2009 of patients who had appendectomy in
Department of Surgery, Al-Kindy Teaching Hospital -
Baghdad/Iraq. Serum for estimating levels of interleukin-6
(IL-6) was taken pre-operatively. Depending on the
macroscopic evidence during the operation and the
histopathological examination of the specimens, the
patients were separated into 3 groups, group one with
negative appendectomy (normal appendix), group two with
non-complicated acute appendicitis (catarrhal,
suppurative), and group three with complicated acute
appendicitis (perforated, gangrenous). The
histopathological results were correlated with IL-6 values
statistically.
Results: A total number of 50 patients were included in
this study, 28 male (56%) and 22 female (44%). The mean
age was 23 year (ranged from 7 to 50). On histological
examination, there were 7 patients (14%) in group one, 29
patients (58%) in group two, and 14 patients (28%) in
group three. Serum IL-6 values gave true negative results
in 6%, true positive results in 82%, false negative results in
4%, and false positive results in 8%. We determined,
therefore, in the present study the sensitivity, specificity,
and accuracy of serum IL-6 were calculated as 95.34%,
42.85%, and 88% respectively.
Conclusion: Laboratory results should be considered to be
integrated within the clinical assessment. If used critically,
IL-6 can provide surgeons with complementary
information in discerning the necessity for urgent
operation
Advanced strategies for production forecasting, operational optimization, and decision-making enhancement have been employed through reservoir management and machine learning (ML) techniques. A hybrid model is established to predict future gas output in a gas reservoir through historical production data, including reservoir pressure, cumulative gas production, and cumulative water production for 67 months. The procedure starts with data preprocessing and applies seasonal exponential smoothing (SES) to capture seasonality and trends in production data, while an Artificial Neural Network (ANN) captures complicated spatiotemporal connections. The history replication in the models is quantified for accuracy through metric keys such as m
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The reaction of L-ascorbic acid with the tirchloroacetic acid in the presence of potassium hydroxide gave new product Bis[O,O-2,3;O,O-5,6(chlorocarboxylicmethyliden)]Lascorbic acid (H2L) which was isolated and characterized by 1H,13C-NMR, elemental analysis (C,H,N), UV-Visible and Fourier Transform Infrared (FTIR). The complexes of the ligand (H2L) with metal ions, M+2= (Cu, Co, Ni, Cd and Hg) were synthesized and characterized by FTIR, UV-Visible, molar conductance, atomic absorption, magnetic susceptibility and the molar ratio. The analysis evidence showed the binding of the metal ions with (H2L) through the bicarboxylato group manner resulting in six-coordinated metal ion. The TLC for (H2L) and complexes showed one spot for eac
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