Treatment and diagnostic algorithm for pregnant women 2–3 trimesters with suspected acute appendicitis
https://doi.org/10.24884/1607-4181-2025-32-2-35-43
Abstract
Introduction. Diagnosing the causes of acute abdominal pain in pregnant women is challenging. Due to the absence of ionizing radiation and better visualization of the appendix compared to ultrasound, magnetic resonance imaging is increasingly recommended as an alternative for examining pregnant women with acute abdominal pain. However, in some cases, it is not possible to perform MRI, which limits the use of this method and necessitates stratification of pregnant patients according to the likelihood of adding MRI to the diagnostic complex.
The objective was to develop a model for predicting the risk of developing acute appendicitis in pregnant women in the 2nd and 3rd trimesters.
Methods and materials. The analysis of data of pregnant patients hospitalized at the Pavlov First Saint Petersburg State Medical University with suspected acute appendicitis was performed from January 2020 to January 2025 (n=94). The study took into account epidemiological, clinical, laboratory, instrumental, surgical and postoperative data. A univariate analysis was performed to predict the presence of acute appendicitis in pregnant women in the 2nd and 3rd trimesters, followed by the construction of a diagnostic model and the identification of risk classes. To confirm the quality of the constructed model, regression analysis was used followed by risk analysis.
Results. A model for predicting acute appendicitis in pregnant women in the 2nd–3rd trimesters was constructed based on clinical and laboratory parameters and ultrasound diagnostics with the identification of risk levels (AuRoc 0.84). The patients included in the average risk group underwent MRI to clarify the diagnosis of acute appendicitis and perform differential diagnostics with other pathologies of the abdominal cavity and pelvic organs. The proposed model for predicting acute appendicitis in pregnant women in the 2nd–3rd trimesters using MRI diagnostics in the average risk group has a high predictive quality (AuRoc 0.98) with a sensitivity of 96.9 % and a specificity of 97.6 %.
Conclusion. The identified factors (pain in the right lower quadrant of the abdomen, leukocyte level≥12.5·109/l, granulocyte percentage ≥76.4, positive Kocher sign, nausea/vomiting and C-reactive protein level> 6.0 mg/l) can be used to predict acute appendicitis in pregnant women in the 2nd and 3rd trimesters, taking into account the data of instrumental studies (ultrasound and MRI). The constructed model for predicting acute appendicitis, based on clinical and laboratory parameters and ultrasound diagnostics with the identification of risk levels, can be recommended for use in the diagnostics of acute appendicitis in pregnant women in the 2nd and 3rd trimesters. Stratification of pregnant women by the risk level of acute appendicitis allows for the reasonable use of MRI only in the average risk group for the purpose of differential diagnosis of the disease.
About the Authors
L. A. LogvinRussian Federation
Logvin Larisa A., Surgeon of Surgical Department № 4 (Emergency Surgery) of the Research Institute of Surgery and Emergency Medicine
6-8, L’va Tolstogo str., Saint Petersburg, 197022
Competing Interests:
Authors declare no conflict of interest.
D. N. Popov
Russian Federation
Popov Dmitry N., Cand. of Sci. (Med), Assistant of Hospital Surgery Department № 2 with Clinic named after F.G. Uglov, Head of Surgical Department № 4 (Emergency Surgery) of the Research Institute of Surgery and Emergency Medicine
6-8, L’va Tolstogo str., Saint Petersburg, 197022
Competing Interests:
Authors declare no conflict of interest.
E. V. Kiseleva
Russian Federation
Kiseleva Elena V., Cand. of Sci. (Med), Surgeon, Surgeon of Surgical Department № 4 (Emergency Surgery) of the Research Institute of Surgery and Emergency Medicine
6-8, L’va Tolstogo str., Saint Petersburg, 197022
Competing Interests:
Authors declare no conflict of interest.
A. Yu. Korolkov
Russian Federation
Korolkov Andrey Yu., Dr. of Sci. (Med), Professor, Head of Hospital Surgery Department № 2 with Clinic named after F.G. Uglov, Head of the Department of General and Emergency Surgery of the Research Institute of Surgery and Emergency Medicine
6-8, L’va Tolstogo str., Saint Petersburg, 197022
Competing Interests:
Authors declare no conflict of interest.
V. F. Bezhenar
Russian Federation
Bezhenar Vitaliy F., Dr. of Sci. (Med), Professor, Head of the Department of Obstetrics, Gynecology and Neonatology/Reproductology
6-8, L’va Tolstogo str., Saint Petersburg, 197022
Competing Interests:
Authors declare no conflict of interest.
S. F. Bagnenko
Russian Federation
Bagnenko Sergey F., Dr. of Sci. (Med), Professor, Academician of the RAS, Rector
6-8, L’va Tolstogo str., Saint Petersburg, 197022
Competing Interests:
Authors declare no conflict of interest.
References
1. Kave M., Parooie F., Salarzaei M. Pregnancy and appendicitis: a systematic review and meta-analysis on the clinical use of MRI in diagnosis of appendicitis in pregnant women // World J Emerg Surg. 2019;14:37. http://doi.org/10.1186/s13017-019-0254-1. PMID: 31367227; PMCID: PMC6647167.
2. De Wilde J. P., Rivers A. W., Price D. L. A review of the current use of magnetic resonance imaging in pregnancy and safety implications for the fetus // Prog Biophys Mol Biol. 2005;87(2–3):335–53. http://doi.org/10.1016/j.pbiomolbio.2004.08.010. PMID: 15556670.
3. Mourad J., Elliott J. P., Erickson L., Lisboa L. Appendicitis in pregnancy: new information that contradicts long-held clinical beliefs // Am J Obstet Gynecol. 2000;182(5):1027–9. http://doi.org/10.1067/mob.2000.105396. PMID: 10819817.
4. Dewhurst C., Beddy P., Pedrosa I. MRI evaluation of acute appendicitis in pregnancy // J Magn Reson Imaging. 2013;37(3):566–75. http://doi.org/10.1002/jmri.23765. PMID: 23423797.
5. Oto A., Srinivasan P. N., Ernst R. D. et al. Revisiting MRI for appendix location during pregnancy // AJR Am J Roentgenol. 2006;186(3):883–7. http://doi.org/10.2214/AJR.05.0270. PMID: 16498125.
6. Tinoco-González J., Rubio-Manzanares-Dorado M., Senent-Boza A. et al. Acute appendicitis during pregnancy: differences in clinical presentation, management, and outcome // Emergencias. 2018;30(4):261–264. English, Spanish. PMID: 30033700.
7. Tamir I. L., Bongard F. S., Klein S. R. Acute appendicitis in the pregnant patient // Am J Surg. 1990;160(6):571–5; discussion 575–6. http://doi.org/10.1016/s0002-9610(05)80748-2. PMID: 2252115.
8. Tremblay E., Thérasse E., Thomassin-Naggara I., Trop I. Quality initiatives: guidelines for use of medical imaging during pregnancy and lactation // Radiographics. 2012;32(3):897–911. http://doi.org/10.1148/rg.323115120. PMID: 22403117.
9. Ahmed B., Williams J., Gourash W. et al. MRI as First Line Imaging for Suspected Acute Appendicitis during Pregnancy: Diagnostic Accuracy and level of Inter-Radiologist Agreement // Curr Probl Diagn Radiol. 2022;51(4):503– 510. http://doi.org/10.1067/j.cpradiol.2021.09.001. PMID: 34955286; PMCID: PMC9160213.
10. Konrad J., Grand D., Lourenco A. MRI: first-line imaging modality for pregnant patients with suspected appendicitis // Abdom Imaging. 2015;40(8):3359–64. http://doi.org/10.1007/s00261-015-0540-7. PMID: 26338256.
11. Lehnert B. E., Gross J. A., Linnau K. F., Moshiri M. Utility of ultrasound for evaluating the appendix during the second and third trimester of pregnancy // Emerg Radiol. 2012;19(4):293–9. http://doi.org/10.1007/s10140-012-1029-0. PMID: 22370694.
12. Khandelwal A., Fasih N., Kielar A. Imaging of acute abdomen in pregnancy // Radiol Clin North Am. 2013;51(6):1005–22. http://doi.org/10.1016/j.rcl.2013.07.007. PMID: 24210441.
13. Xiong B., Zhong B., Li Z. et al. Diagnostic Accuracy of Noncontrast CT in Detecting Acute Appendicitis: A Meta-analysis of Prospective Studies // Am Surg. 2015;81(6):626–9. PMID: 26031278.
14. Rud B., Vejborg T. S., Rappeport E. D. et al. Computed tomography for diagnosis of acute appendicitis in adults // Cochrane Database Syst Rev. 2019;2019(11):CD009977. http://doi.org/10.1002/14651858.CD009977.pub2. PMID: 31743429; PMCID: PMC6953397.
15. McCollough C. H., Schueler B. A., Atwell T. D. et al. Radiation exposure and pregnancy: when should we be concerned? // Radiographics. 2007;27(4):909–17; discussion 917–8. http://doi.org/10.1148/rg.274065149. PMID: 17620458.
16. Lazarus E., Mayo-Smith W. W., Mainiero M. B., Spencer P. K. CT in the evaluation of nontraumatic abdominal pain in pregnant women // Radiology. 2007;244(3):784–90. http://doi.org/10.1148/radiol.2443061634. PMID: 17709829.
17. Ames Castro M., Shipp T. D., Castro E. E. et al. The use of helical computed tomography in pregnancy for the diagnosis of acute appendicitis // Am J Obstet Gynecol. 2001;184(5):954–7. http://doi.org/10.1067/mob.2001.111721. PMID: 11303204.
18. Duke E., Kalb B., Arif-Tiwari H. et al. A Systematic Review and Meta-Analysis of Diagnostic Performance of MRI for Evaluation of Acute Appendicitis // AJR Am J Roentgenol. 2016;206(3):508–17. http://doi.org/10.2214/AJR.15.14544. PMID: 26901006.
19. Committee Opinion No. 723 Summary: Guidelines for Diagnostic Imaging During Pregnancy and Lactation // Obstet Gynecol. 2017;130(4):933–934. http://doi.org/10.1097/AOG.0000000000002350. PMID: 28937570.
20. Bufman H., Raskin D., Barash Y. et al. Findings on emergent magnetic resonance imaging in pregnant patients with suspected appendicitis: A single center perspective // PLoS One. 2024;19(2):e0288156. http://doi.org/10.1371/journal.pone.0288156. PMID: 38329949; PMCID: PMC10852244.
21. Israel G. M., Malguria N., McCarthy S. et al. MRI vs. ultrasound for suspected appendicitis during pregnancy // J Magn Reson Imaging. 2008;28(2):428–33. http://doi.org/10.1002/jmri.21456. PMID: 18666160.
22. Bulas D., Egloff A. Benefits and risks of MRI in pregnancy // Semin Perinatol. 2013;37(5):301–4. http://doi.org/10.1053/j.semperi.2013.06.005. PMID: 24176150.
23. Hauptfleisch J., Meagher T. M., King D. et al. Out-ofhours MRI provision in the UK and models of service delivery // Clin Radiol. 2013;68(5):e245–8. http://doi.org/10.1016/j.crad.2012.12.007. PMID: 23352762.
24. Logvin L.A., Popov D.N., Kiseleva E.V. et al. Analyzing results of diagnostics and prediction of acute appendicitis in pregnant women: approaches to solving a well-known clinical problem // Pediatrician (St. Petersburg). 2025;16(1):35– 45. http://doi.org/10.17816/PED16135-45/ (In Russ.).
25. Rebrova O. Statistical analysis of medical data. Application of the application package STATISTICA. M.: MediaSphere, 2002. (In Russ.).
26. Podda M., Pisanu A., Sartelli M. et al. Diagnosis of acute appendicitis based on clinical scores: is it a myth or reality? // Acta Biomed. 2021;92(4):e2021231. http://doi.org/10.23750/abm.v92i4.11666. PMID: 34487066; PMCID: PMC8477120.
27. Mantoglu B., Gonullu E., Akdeniz Y. et al. Which appendicitis scoring system is most suitable for pregnant patients? A comparison of nine different systems // World J Emerg Surg. 2020;15(1):34. http://doi.org/10.1186/s13017-020-00310-7. PMID: 32423408; PMCID: PMC7236497.
28. Tatli F., Yucel Y., Gozeneli O. et al. The Alvarado Score is accurate in pregnancy: a retrospective case-control study // Eur J Trauma Emerg Surg. 2019;45(3):411–416. http://doi.org/10.1007/s00068-017-0855-x. PMID: 29128890.
Review
For citations:
Logvin L.A., Popov D.N., Kiseleva E.V., Korolkov A.Yu., Bezhenar V.F., Bagnenko S.F. Treatment and diagnostic algorithm for pregnant women 2–3 trimesters with suspected acute appendicitis. The Scientific Notes of the Pavlov University. 2025;32(2):35-43. (In Russ.) https://doi.org/10.24884/1607-4181-2025-32-2-35-43