Prediction of treatment outcomes after global endometrial ablation

Sherif A El-Nashar, Matthew R Hopkins, Douglas J Creedon, Jennifer L St Sauver, Amy L Weaver, Michaela E McGree, William A Cliby, Abimbola O Famuyide, Sherif A El-Nashar, Matthew R Hopkins, Douglas J Creedon, Jennifer L St Sauver, Amy L Weaver, Michaela E McGree, William A Cliby, Abimbola O Famuyide

Abstract

Objective: To report rates of amenorrhea and treatment failure after global endometrial ablation and to estimate the association between patient factors and these outcomes by developing and validating prediction models.

Methods: From January 1998 through December 2005, 816 women underwent global endometrial ablation with either a thermal balloon ablation or radio frequency ablation device; 455 were included in a population-derived cohort (for model development), and 361 were included in a referral-derived cohort (for model validation). Amenorrhea was defined as cessation of bleeding from immediately after ablation through at least 12 months after the procedure. Treatment failure was defined as hysterectomy or reablation for patients with bleeding or pain. Logistic and Cox proportional hazard regression models were used in model development and validation of potential predictors of outcomes.

Results: The amenorrhea rate was 23% (95% confidence interval [CI] 19-28%) and the 5-year cumulative failure rate was 16% (95% CI 10-20%). Predictors of amenorrhea were age 45 years or older (adjusted odds ratio [aOR] 2.6, 95% CI 1.6-4.3); uterine length less than 9 cm (aOR 1.8, 95% CI 1.1-3.1); endometrial thickness less than 4 mm (aOR 2.7, 95% CI 1.2-6.3); and use of radio-frequency ablation instead of thermal balloon ablation (aOR 2.8, 95% CI 1.7-4.9). Predictors of treatment failure included age younger than 45 years (adjusted hazard ratio [aHR] 2.6, 95% CI 1.3-5.1); parity of 5 or greater (aHR 6.0, 95% CI 2.5-14.8); prior tubal ligation (aHR 2.2, 95% CI 1.2-4.0); and history of dysmenorrhea (aHR 3.7, 95% CI 1.6-8.5). After global endometrial ablation, 23 women (5.1%, 95% CI 3.2-7.5%) had pelvic pain, three (0.7%, 95% CI 0.1-1.9%) were pregnant, and none (95% CI 0-0.8%) had endometrial cancer.

Conclusion: Population-derived rates and predictors of treatment outcomes after global endometrial ablation may help physicians offer optimal preprocedural patient counseling.

Level of evidence: II.

Conflict of interest statement

Financial Disclosure: The authors have no potential conflicts of interest to disclose.

Figures

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Figure 1
Study flow chart shows distribution of study patients in the model development and model validation cohorts.
Figure 2
Figure 2
Cumulative treatment failure rates after global endometrial ablation. Solid line shows the percentage of patients with treatment failure, dotted lines show the boundaries of the 95% confidence interval.
Figure 3
Figure 3
Predicted cumulative treatment failure rates for preoperative variables (final model). A, Age (

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Predicted cumulative treatment failure rates…

Figure 3

Predicted cumulative treatment failure rates for preoperative variables (final model). A, Age (…

Figure 3
Predicted cumulative treatment failure rates for preoperative variables (final model). A, Age (

Figure 3

Predicted cumulative treatment failure rates…

Figure 3

Predicted cumulative treatment failure rates for preoperative variables (final model). A, Age (…

Figure 3
Predicted cumulative treatment failure rates for preoperative variables (final model). A, Age (

Figure 3

Predicted cumulative treatment failure rates…

Figure 3

Predicted cumulative treatment failure rates for preoperative variables (final model). A, Age (…

Figure 3
Predicted cumulative treatment failure rates for preoperative variables (final model). A, Age (
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Figure 3
Predicted cumulative treatment failure rates for preoperative variables (final model). A, Age (

Figure 3

Predicted cumulative treatment failure rates…

Figure 3

Predicted cumulative treatment failure rates for preoperative variables (final model). A, Age (…

Figure 3
Predicted cumulative treatment failure rates for preoperative variables (final model). A, Age (

Figure 3

Predicted cumulative treatment failure rates…

Figure 3

Predicted cumulative treatment failure rates for preoperative variables (final model). A, Age (…

Figure 3
Predicted cumulative treatment failure rates for preoperative variables (final model). A, Age (
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Figure 3
Predicted cumulative treatment failure rates for preoperative variables (final model). A, Age (

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Predicted cumulative treatment failure rates…

Figure 3

Predicted cumulative treatment failure rates for preoperative variables (final model). A, Age (…

Figure 3
Predicted cumulative treatment failure rates for preoperative variables (final model). A, Age (
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Figure 3
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Predicted cumulative treatment failure rates for preoperative variables (final model). A, Age (

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