A validated predictive model for adnexal torsion pre-operative diagnosis

Arch Gynecol Obstet. 2022 Apr;305(4):1069-1077. doi: 10.1007/s00404-021-06388-x. Epub 2022 Jan 9.

Abstract

Purpose: To develop a simple predictive model for pre-operative diagnosis of adnexal torsion (AT).

Methods: A retrospective cohort study with a retrospective validation, including 669 separate episodes of women who underwent laparoscopy due to a suspected AT between January 2011 and June 2020. We compared the pre-operative characteristics between women with surgically confirmed AT and those without.

Results: The derivation cohort included 615 episodes of suspected AT. AT was surgically confirmed in 445 episodes (72%). The retrospectively collected validation cohort included 54 episodes, with 31 (57.4%) surgically confirmed AT. In a multivariate regression analysis, vomiting, neutrophils to lymphocytes ratio > 3.5 and sonographic finding of enlarged ovary were independently associated with AT [OR 95% CI 2.78 (1.21-6.36), 3.15 (1.42-6.97) and 2.80 (1.33-5.88), respectively]. In the derivation cohort, the PPV for AT diagnosis was 69.7%, 84.5% and 93.1% if 1, 2 and 3 risk factors were present, respectively. Retrospective validation analysis underlined a PPV of 67.6%, 82.6 and 66.6% for 1, 2 and 3 risk factors, respectively.

Conclusion: We have developed and validated a simple predictive model for pre-operative diagnosis of AT, based on three parameters. Our model may assist clinicians while evaluating patients with suspected AT and improve pre-operative diagnosis.

Keywords: Adnexal torsion; Fallopian tube; Laparoscopy; Ovary; Pelvic pain.

MeSH terms

  • Adnexal Diseases* / diagnostic imaging
  • Adnexal Diseases* / surgery
  • Female
  • Humans
  • Ovarian Diseases*
  • Ovarian Torsion
  • Retrospective Studies
  • Torsion Abnormality / diagnostic imaging
  • Torsion Abnormality / surgery