Background: Indeterminate colitis (IC), a term
originated by pathologists to characterize confounding
histopathlogic appearance of resected mucosa, has
become catch phrase for cases in which diagnostic
criteria at all levels elude classification as Crohn's
disease (CD) or ulcerative colitis (UC).
OBJECTIVES: evaluate the prevalence of pANCA
expression in the sera and its isotypes.
Patients and methods: PATIENTS GROUP
consisted of 60 patients (40 males and 20 females)
with indeterminate colitis and their age range was (19-
84 years). CONTROL GROUP consisted of 30 (15
males and 15 females) healthy volunteers and their
age range was (20- 66 years).
Antineutrophil cytoplasmic ( pANCA and cANCA)
testing was performed by an IIF technique on ethanol
fixed human EOH granulocytes as substrate
(EUROIMMUNE- Germany). Sigmoidoscope and
colonoscope examination were done for the patients
group and biopsies were taken from the patients for
histopathological examination.
Results:
Serological results of ANCA showed a significant
increased frequency of pANCA (63.3%) in
indeterminate colitis patients as compared to controls
(p=0.000). The highest percentage of this pANCA
titer was 1:10 (p=0.000) then 1:100 (p=0.008) and
most of them was IgG (53.3%) (p=0.000). Sensitivity
of pANCA was 60%, specificity of pANCA was 40%,
positive predictive value of pANCA was 61.1% and
negative predictive value of pANCA was 66.6%.
cANCA did not demonstrated in both groups.
Conclusions : pANCA was more prevalent in
indeterminate colitis and could be used as a predictive
serological marker for the outcome of disease.
This Action research aimed at Assisting Students of Faculty of Educational Sciences at Al-Quds Open University to design computerized lessons using the Power Point software and according to ADDIE model. The study sample consisted of 40 students who were taking a course titled Technology of Education during the second semester of the 2014-2015 academic year and three academic instructors . To collect the required date , the researchers used focus group technique and structured interviews to get information from the 40 students and the three academic instructors involved in the course Technology of Education in QOU /Nablus Branch. In addition to these methods, a workshop with a guiding checklist was employed t
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In this article, a numerical method integrated with statistical data simulation technique is introduced to solve a nonlinear system of ordinary differential equations with multiple random variable coefficients. The utilization of Monte Carlo simulation with central divided difference formula of finite difference (FD) method is repeated n times to simulate values of the variable coefficients as random sampling instead being limited as real values with respect to time. The mean of the n final solutions via this integrated technique, named in short as mean Monte Carlo finite difference (MMCFD) method, represents the final solution of the system. This method is proposed for the first time to calculate the numerical solution obtained fo
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