Prediction of unsuccessful endometrial ablation: a retrospective study

K.Y.R. Stevens (Corresponding author), D. Meulenbroeks, S. Houterman, T. Gijsen, S. Weyers, B.C. Schoot

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

Uittreksel

Background: Endometrial ablation (EA) is a frequently used treatment for abnormal uterine bleeding, mainly due to the low risks, low costs and short recovery time associated with the procedure. On the short term, it seems successful, long-term follow-up however, shows decreasing patient satisfaction as well as treament efficacy. There even is a post-ablation hysterectomy rate up to 21%. Multiple factors seem to` influence the outcome of EA. Due to dissimilarities in and variety of these factors, it has not been possible so far to predict the success rate of EA based on pre-operative factors. Therefore, the aim of this study is to develop two prediction models to help counsel patients for failure of EA or necessity of surgical re-intervention within 2 years after EA. Methods: We designed a retrospective two-centred cohort study in Catharina Hospital, Eindhoven and Elkerliek Hospital, Helmond, both non-university teaching hospitals in the Netherlands. The study population consisted of 446 pre-menopausal women who underwent EA for abnormal uterine bleeding, with a minimum follow-up time of 2 years. Multivariate logistic regression analysis was used to create the prediction models. Results: The mean age of the patients was 43.8 years (range 20–55), 97.3% had complaints of menorrhagia, 57.4% of dysmenorrhoea and 61.0% had complaints of intermittent or irregular bleeding. 18.8% of patients still needed a hysterectomy after EA. The risk of re-intervention was significantly greater in women with menstrual duration > 7 days or a previous caesarean section, while pre-operative menorrhagia was significantly associated with success of EA. Younger age, parity ≥ 5 and dysmenorrhea were significant multivariate predictors in both models. These predictors were used to develop prediction models, which had a C-index of 0.71 and 0.68 respectively. Conclusion: We propose two multivariate models to predict the chance of failure and surgical re-intervention within 2 years after EA. Due to the permanent character of EA, the increasing number of post-operative failure and re-interventions, these prediction models could be useful for both the doctor and patient and may contribute to the shared decision-making.

TaalEngels
Artikelnummer7
Aantal pagina's9
TijdschriftGynecological Surgery
Volume16
Nummer van het tijdschrift1
DOI's
StatusGepubliceerd - 1 dec 2019

Vingerafdruk

Endometrial Ablation Techniques
Retrospective Studies
Menorrhagia
Dysmenorrhea
Uterine Hemorrhage
Hysterectomy
Parity
Patient Satisfaction
Teaching Hospitals
Cesarean Section
Netherlands
Decision Making
Cohort Studies
Logistic Models
Regression Analysis

Trefwoorden

    Citeer dit

    Stevens, K. Y. R., Meulenbroeks, D., Houterman, S., Gijsen, T., Weyers, S., & Schoot, B. C. (2019). Prediction of unsuccessful endometrial ablation: a retrospective study. Gynecological Surgery, 16(1), [7]. DOI: 10.1186/s10397-019-1060-1
    Stevens, K.Y.R. ; Meulenbroeks, D. ; Houterman, S. ; Gijsen, T. ; Weyers, S. ; Schoot, B.C./ Prediction of unsuccessful endometrial ablation : a retrospective study. In: Gynecological Surgery. 2019 ; Vol. 16, Nr. 1.
    @article{c1b58977d9944f5ebbdd316356d97bc3,
    title = "Prediction of unsuccessful endometrial ablation: a retrospective study",
    abstract = "Background: Endometrial ablation (EA) is a frequently used treatment for abnormal uterine bleeding, mainly due to the low risks, low costs and short recovery time associated with the procedure. On the short term, it seems successful, long-term follow-up however, shows decreasing patient satisfaction as well as treament efficacy. There even is a post-ablation hysterectomy rate up to 21{\%}. Multiple factors seem to` influence the outcome of EA. Due to dissimilarities in and variety of these factors, it has not been possible so far to predict the success rate of EA based on pre-operative factors. Therefore, the aim of this study is to develop two prediction models to help counsel patients for failure of EA or necessity of surgical re-intervention within 2 years after EA. Methods: We designed a retrospective two-centred cohort study in Catharina Hospital, Eindhoven and Elkerliek Hospital, Helmond, both non-university teaching hospitals in the Netherlands. The study population consisted of 446 pre-menopausal women who underwent EA for abnormal uterine bleeding, with a minimum follow-up time of 2 years. Multivariate logistic regression analysis was used to create the prediction models. Results: The mean age of the patients was 43.8 years (range 20–55), 97.3{\%} had complaints of menorrhagia, 57.4{\%} of dysmenorrhoea and 61.0{\%} had complaints of intermittent or irregular bleeding. 18.8{\%} of patients still needed a hysterectomy after EA. The risk of re-intervention was significantly greater in women with menstrual duration > 7 days or a previous caesarean section, while pre-operative menorrhagia was significantly associated with success of EA. Younger age, parity ≥ 5 and dysmenorrhea were significant multivariate predictors in both models. These predictors were used to develop prediction models, which had a C-index of 0.71 and 0.68 respectively. Conclusion: We propose two multivariate models to predict the chance of failure and surgical re-intervention within 2 years after EA. Due to the permanent character of EA, the increasing number of post-operative failure and re-interventions, these prediction models could be useful for both the doctor and patient and may contribute to the shared decision-making.",
    keywords = "Abnormal uterine bleeding, Endometrial ablation, Patient counselling, Prediction model",
    author = "K.Y.R. Stevens and D. Meulenbroeks and S. Houterman and T. Gijsen and S. Weyers and B.C. Schoot",
    year = "2019",
    month = "12",
    day = "1",
    doi = "10.1186/s10397-019-1060-1",
    language = "English",
    volume = "16",
    journal = "Gynecological Surgery",
    issn = "1613-2076",
    publisher = "Springer",
    number = "1",

    }

    Stevens, KYR, Meulenbroeks, D, Houterman, S, Gijsen, T, Weyers, S & Schoot, BC 2019, 'Prediction of unsuccessful endometrial ablation: a retrospective study' Gynecological Surgery, vol. 16, nr. 1, 7. DOI: 10.1186/s10397-019-1060-1

    Prediction of unsuccessful endometrial ablation : a retrospective study. / Stevens, K.Y.R. (Corresponding author); Meulenbroeks, D.; Houterman, S.; Gijsen, T.; Weyers, S.; Schoot, B.C.

    In: Gynecological Surgery, Vol. 16, Nr. 1, 7, 01.12.2019.

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

    TY - JOUR

    T1 - Prediction of unsuccessful endometrial ablation

    T2 - Gynecological Surgery

    AU - Stevens,K.Y.R.

    AU - Meulenbroeks,D.

    AU - Houterman,S.

    AU - Gijsen,T.

    AU - Weyers,S.

    AU - Schoot,B.C.

    PY - 2019/12/1

    Y1 - 2019/12/1

    N2 - Background: Endometrial ablation (EA) is a frequently used treatment for abnormal uterine bleeding, mainly due to the low risks, low costs and short recovery time associated with the procedure. On the short term, it seems successful, long-term follow-up however, shows decreasing patient satisfaction as well as treament efficacy. There even is a post-ablation hysterectomy rate up to 21%. Multiple factors seem to` influence the outcome of EA. Due to dissimilarities in and variety of these factors, it has not been possible so far to predict the success rate of EA based on pre-operative factors. Therefore, the aim of this study is to develop two prediction models to help counsel patients for failure of EA or necessity of surgical re-intervention within 2 years after EA. Methods: We designed a retrospective two-centred cohort study in Catharina Hospital, Eindhoven and Elkerliek Hospital, Helmond, both non-university teaching hospitals in the Netherlands. The study population consisted of 446 pre-menopausal women who underwent EA for abnormal uterine bleeding, with a minimum follow-up time of 2 years. Multivariate logistic regression analysis was used to create the prediction models. Results: The mean age of the patients was 43.8 years (range 20–55), 97.3% had complaints of menorrhagia, 57.4% of dysmenorrhoea and 61.0% had complaints of intermittent or irregular bleeding. 18.8% of patients still needed a hysterectomy after EA. The risk of re-intervention was significantly greater in women with menstrual duration > 7 days or a previous caesarean section, while pre-operative menorrhagia was significantly associated with success of EA. Younger age, parity ≥ 5 and dysmenorrhea were significant multivariate predictors in both models. These predictors were used to develop prediction models, which had a C-index of 0.71 and 0.68 respectively. Conclusion: We propose two multivariate models to predict the chance of failure and surgical re-intervention within 2 years after EA. Due to the permanent character of EA, the increasing number of post-operative failure and re-interventions, these prediction models could be useful for both the doctor and patient and may contribute to the shared decision-making.

    AB - Background: Endometrial ablation (EA) is a frequently used treatment for abnormal uterine bleeding, mainly due to the low risks, low costs and short recovery time associated with the procedure. On the short term, it seems successful, long-term follow-up however, shows decreasing patient satisfaction as well as treament efficacy. There even is a post-ablation hysterectomy rate up to 21%. Multiple factors seem to` influence the outcome of EA. Due to dissimilarities in and variety of these factors, it has not been possible so far to predict the success rate of EA based on pre-operative factors. Therefore, the aim of this study is to develop two prediction models to help counsel patients for failure of EA or necessity of surgical re-intervention within 2 years after EA. Methods: We designed a retrospective two-centred cohort study in Catharina Hospital, Eindhoven and Elkerliek Hospital, Helmond, both non-university teaching hospitals in the Netherlands. The study population consisted of 446 pre-menopausal women who underwent EA for abnormal uterine bleeding, with a minimum follow-up time of 2 years. Multivariate logistic regression analysis was used to create the prediction models. Results: The mean age of the patients was 43.8 years (range 20–55), 97.3% had complaints of menorrhagia, 57.4% of dysmenorrhoea and 61.0% had complaints of intermittent or irregular bleeding. 18.8% of patients still needed a hysterectomy after EA. The risk of re-intervention was significantly greater in women with menstrual duration > 7 days or a previous caesarean section, while pre-operative menorrhagia was significantly associated with success of EA. Younger age, parity ≥ 5 and dysmenorrhea were significant multivariate predictors in both models. These predictors were used to develop prediction models, which had a C-index of 0.71 and 0.68 respectively. Conclusion: We propose two multivariate models to predict the chance of failure and surgical re-intervention within 2 years after EA. Due to the permanent character of EA, the increasing number of post-operative failure and re-interventions, these prediction models could be useful for both the doctor and patient and may contribute to the shared decision-making.

    KW - Abnormal uterine bleeding

    KW - Endometrial ablation

    KW - Patient counselling

    KW - Prediction model

    UR - http://www.scopus.com/inward/record.url?scp=85065133239&partnerID=8YFLogxK

    U2 - 10.1186/s10397-019-1060-1

    DO - 10.1186/s10397-019-1060-1

    M3 - Article

    VL - 16

    JO - Gynecological Surgery

    JF - Gynecological Surgery

    SN - 1613-2076

    IS - 1

    M1 - 7

    ER -

    Stevens KYR, Meulenbroeks D, Houterman S, Gijsen T, Weyers S, Schoot BC. Prediction of unsuccessful endometrial ablation: a retrospective study. Gynecological Surgery. 2019 dec 1;16(1). 7. Beschikbaar vanaf, DOI: 10.1186/s10397-019-1060-1