Background: Acute cholecystitis is common surgical
problem, which was treated previously by conservative
treatment .Later early open has been introduced as an
alternative to interval for treatment of acute cholecystitis.
Early open was found to be a safe, successful with
comparable postoperative complication rate. With the
advent of laparoscopy laparoscopic have been used for
chronic cholecystitis and became the first line of
treatment. New reports have shown that laparoscopic can
be used as an alternative to open for surgical treatment of
acute cholecystitis.
Objectives: to compare the success, safety of early
laparoscopic versus early open as a primary treatment of
acute cholecystitis.
Methods: out of 68 patients were treated for clinical
acute cholecystitis between January 2002 and February
2004 in the department of surgery, at Al – Kindy teaching
hospital. A total of 62 patients underwent early for acute
cholecystitis as soon as possible after diagnosis. The
preferred preoperative imaging technique was ultrasound.
30 (48.3%) of the operations were attempted
laparoscopically, whereas the remaining 32 patients
(51.7%) underwent initial open .
Results: The mean operative time for the open cases
was 75 minutes versus 60 minutes for the laparoscopic
group. There was no perioperative mortality in either
group. The incidence of conversion to open was 10% (3
patients). Surgical complications related to laparoscopic
and open occurred in 2 (6.6%) and 3 (9.3%) cases,
respectively. There was no difference between the open
and laparoscopic groups in regard to the major
postoperative complications.
Conclusion: The current study shows that early
(whether performed by open or laparoscopically) is a
safe and effective treatment for acute cholecystitis. Low
conversion rates can be maintained with strict guidelines
for appropriate patient selection, adequate experience,
and proper laparoscopic technique.
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In aspect-based sentiment analysis ABSA, implicit aspects extraction is a fine-grained task aim for extracting the hidden aspect in the in-context meaning of the online reviews. Previous methods have shown that handcrafted rules interpolated in neural network architecture are a promising method for this task. In this work, we reduced the needs for the crafted rules that wastefully must be articulated for the new training domains or text data, instead proposing a new architecture relied on the multi-label neural learning. The key idea is to attain the semantic regularities of the explicit and implicit aspects using vectors of word embeddings and interpolate that as a front layer in the Bidirectional Long Short-Term Memory Bi-LSTM. First, we
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