To explore the risk factors of acute appendicitis (AA) with perforation.
Methods
2
From January to June 2023, a total of 212 hospitalized AA patients were selected as study subjects. According to the observation o
f appendix and pathological results, they were assigned into two groups of non-perforated (
n
=169) and perforated (
n
=43). Demographic profiles (e.g. gender, age
&
duration of onset), blood test parameters (e.g. blood routine, total bilirubin
&
D-dimer) and imaging findings (whether or not fecalith within appendix and ascites in abdominal cavity) were compared between two groups. The influencing factors of perforated AA were examined by multivariate Logistic regression analysis and receiver operating characteristic (ROC) curve.
Results
2
There were 43 cases of perforated AA with a perforation rate of 20.3%. Longer symptomatic duration, fever (axillary temperature ≥38 ℃), appendiceal fecalith on imaging, ascites on imaging and elevated level of C-reactive protein (CRP) were independent risk factors for perforated AA were examined by single factor and multiple factor Logistic regression (
P
<
0.05). The area under the ROC curve of longer symptomatic duration, ascites and CRP level were 0.827, 0.853 and 0.810 (
P
<
0.05). When all parameters were combined for prediction, AUC was 0.962 with a sensitivity of 0.884 and a specificity of 0.893.
Conclusion
2
Longer symptomatic duration, fever (axillary temperature ≥38 ℃), appendiceal fecalith on imaging, ascites on imaging and elevated CRP level are independent risk factors for perforated AA. There is a higher value when all parameters are combined for assessments.
Wickramasinghe DP , Xavier C , Samarasekera DN . The worldwide epidemiology of acute appendicitis:an analysis of the global health data exchange dataset [J]. World J Surg , 2021 , 45 ( 7 ): 1999 - 2008 . DOI: 10.1007/s00268-021-06077-5 http://dx.doi.org/10.1007/s00268-021-06077-5 .
McCutcheon BA , Chang DC , Marcus LP , et al . Long-term outcomes of patients with nonsurgically managed uncomplicated appendicitis [J]. J Am Coll Surg , 2014 , 218 ( 5 ): 905 - 913 . DOI: 10.1016/j.jamcollsurg.2014.01.003 http://dx.doi.org/10.1016/j.jamcollsurg.2014.01.003 .
Emektar E , Dağar S , Karaatlı RH , et al . Determination of factors associated with perforation in patients with geriatric acute appendicitis [J]. Turk J Trauma Emerg Surg , 2022 , 28 ( 1 ): 33 - 38 . DOI: 10.14744/tjtes.2020.25741 http://dx.doi.org/10.14744/tjtes.2020.25741 .
Patmano M , Çetin DA , Gümüş T . Laboratory markers used in the prediction of perforation in acute appendicitis [J]. Turk J Trauma Emerg Surg , 2022 , 28 ( 7 ): 960 - 966 . DOI: 10.14744/tjtes.2021.83364 http://dx.doi.org/10.14744/tjtes.2021.83364 .
Sajjad MN , Naumeri F , Hina S . Non-operative treatment versus appendectomy for acute uncomplicated appendicitis:a randomized controlled trial [J]. Pak J Med Sci , 2021 , 37 ( 5 ): 1276 - 1281 . DOI: 10.12669/pjms.37.5.4016 http://dx.doi.org/10.12669/pjms.37.5.4016 .
Miyauchi H , Okata Y , Hatakeyama T , et al . Analysis of predictive factors for perforated appendicitis in children [J]. Pediatr Int , 2020 , 62 ( 6 ): 711 - 715 . DOI: 10.1111/ped.14148 http://dx.doi.org/10.1111/ped.14148 .
Westfall KM , Charles AG . Risk of perforation in the era of nonemergent management for acute appendicitis [J]. Am Surg , 2019 , 85 ( 11 ): 1209 - 1212 .
Busch M , Gutzwiller FS , Aellig S , et al . In-hospital delay increases the risk of perforation in adults with appendicitis [J]. World J Surg , 2011 , 35 ( 7 ): 1626 - 1633 . DOI: 10.1007/s00268-011-1101-z http://dx.doi.org/10.1007/s00268-011-1101-z .
Kang CB , Li XW , Hou SY , et al . Preoperatively predicting the pathological types of acute appendicitis using machine learning based on peripheral blood biomarkers and clinical features:a retrospective study [J]. Ann Transl Med , 2021 , 9 ( 10 ): 835 . DOI: 10.21037/atm-20-7883 http://dx.doi.org/10.21037/atm-20-7883 .