Background: Laparoscopic cholecystectomy
has become the standard of care for the
elective management of cholelithiasis. Little
information exists, however, regarding the
appropriateness of this procedure in the setting
of acute symptomatology.
Objective: This study was designed to
evaluate the outcome of laparoscopic
cholecystectomy in acute and severe acute
cholecystitis based on early and late biliary
complications, their incidence and
management, and conversion rates to open
surgery.
Methods: A prospective study done between
April 2007 and November 2010, in the
department of general surgery, medical city
teaching hospital, Baghdad. Includes patients
with acute cholecystitis admitted for
laparoscopic cholecystectomy; they were
divided into two groups, (group 1) including
patients with acute cholecystitis; (group 2)
including patients with severe acute
cholecystitis.
Results: 306 patients were admitted for
laparoscopic cholecystectomy, 71 (23.2%) of
them with acute cholecystitis and was involved
in this study; they were divided into two
groups, (group 1) patients with acute
cholecystitis 61(85.9%), (group 2) patients
with severe acute cholecystitis 10 (14%);
including gangrenous gallbladder 3(30%), and
empyematous gallbladder 7(70%). Patients in
group 2 were significantly older than in group
1. Female sex was more significant in group 1,
while male sex was more significant in group.
There was no procedure related mortality.
Conclusion: laparoscopic cholecystectomy
for acute cholecystitis is safe and associated
with a low morbidity, mortality, and a low
conversion rate.
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This paper considers and proposes new estimators that depend on the sample and on prior information in the case that they either are equally or are not equally important in the model. The prior information is described as linear stochastic restrictions. We study the properties and the performances of these estimators compared to other common estimators using the mean squared error as a criterion for the goodness of fit. A numerical example and a simulation study are proposed to explain the performance of the estimators.
The rapid advancements in wireless technology and digital electronics have led to the widespread adoption of compact, intelligent devices in various aspects of daily life. These advanced systems possess the capability to sense environmental changes, process data, and communicate seamlessly within interconnected networks. Typically, such devices integrate low-power radio transmitters and multiple smart sensors, hence enabling efficient functionality across wide ranges of applications. Alongside these technological developments, the concept of the IoT has emerged as a transformative paradigm, facilitating the interconnection of uniquely identifiable devices through internet-based networks. This paper aims to provide a comprehensive ex
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