Medical Journal of the Islamic Republic Of Iran
مجله پزشکی جمهوری اسلامی ایران
Med J Islam Repub Iran
Medical Sciences
http://mjiri.iums.ac.ir
2
journal2
1016-1430
2251-6840
8
10.18869/mjiri
14
8888
13
en
jalali
1399
10
1
gregorian
2021
1
1
35
1
online
1
fulltext
en
A new decision making model for diagnosing acute appendicitis among non-pregnant women and its comparison with alvarado scoring system
Gynecology & Obstetrics
Gynecology & Obstetrics
Original Research
Original Research
<p><strong>Background: </strong>Although acute appendicitis is a common problem, it remains a difficult diagnosis to establish, particularly among females of reproductive age. The present study was conducted to devise a new decision making model for diagnosing acute appendicitis in non-pregnant women.<br>
<strong>Methods:</strong> The present study was a retrospective study consisting of women who had undergone an appendectomy between 2007 and 2015 at the emergency department of Imam Hossein Medical Center, Tehran, Iran. The inclusion criteria were being a female, presenting with abdominal pain, being a suspected case of acute appendicitis, and undergoing an emergency appendectomy. A classification and regression tree (CART) analysis was performed to partition exam and laboratory data obtained from these patients into homogeneous groups in order to develop a prediction rule for appendicitis diagnosis.<br>
<strong>Results:</strong> The study population included 433 non pregnant women who underwent emergency operations with a preliminary diagnosis of acute appendicis. Out of these patients, 295 patients (68.1%) were appendicitis positive based on the pathology exam results, while 138 patients had a normal appendix, indicating a negative appendectomy rate of 31.8%. The final devised CART model included hemoglobin level, PMN count, age, and history of abdominal incision and yielded a sensitivity of 82.7% and specificity of 55.8%, which were better than Alvarado prediction results for the Asian population.<br>
<strong>Conclusion:</strong> We have devised a simple and cost effective prediction model for predicting the outcome among non-pregnant women undergoing emergency appendectomy operation with good sensitivity and specificity compared to the Alvarado model.</p>
Appendicitis, Prognosis, Decision Making, Model
732
736
http://mjiri.iums.ac.ir/browse.php?a_code=A-10-6135-1&slc_lang=en&sid=1
Maliheh
Arab
drmarab@smbu.ac.ir
200319475328460063066
200319475328460063066
Yes
Department of Gyneco-Oncology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Behzad
Nemati Honar
nematihonar@gmail.com
200319475328460063067
200319475328460063067
No
Department of Surgery, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Behnaz
Ghavami
behnaz_ghavami@yahoo.com
200319475328460063068
200319475328460063068
No
Department of Laparoscopy, Tehran University of Medical Sciences, Tehran, Iran
Robabeh
Ghodssi-Ghassemabadi
ghodsi@razi.tums.ac.ir
200319475328460063069
200319475328460063069
No
Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
Mahsa
Aghaei
dr.aghaee.m@gmail.com
200319475328460063070
200319475328460063070
No
Shahid Beheshti University of Medical Sciences, Tehran, Iran
Nasrin
Yousefi
ynasrin1990@yahoo.com
200319475328460063071
200319475328460063071
No
Science and Research Branch, Islamic Azad University, Tehran, Iran
Kourosh
Sheibani
sh_kourosh@hotmail.com
200319475328460063072
200319475328460063072
No
Basir Eye Health Research Center, Tehran, Iran