Azerbaijani
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Human Reproduction 2013-Jan

Pregnancy outcomes following robot-assisted myomectomy.

Yalnız qeydiyyatdan keçmiş istifadəçilər məqalələri tərcümə edə bilərlər
Giriş / Qeydiyyatdan keçin
Bağlantı panoya saxlanılır
Michael C Pitter
Antonio R Gargiulo
Leo M Bonaventura
J Stefano Lehman
Serene S Srouji

Açar sözlər

Mücərrəd

OBJECTIVE

What are the characteristics of the pregnancy outcomes in women undergoing robot-assisted laparoscopic myomectomy (RALM) for symptomatic leiomyomata uteri?

CONCLUSIONS

Despite a high prevalence of women with advanced maternal age, obesity and multiple pregnancy in our cohort, the outcomes are comparable with those reported in the literature for laparoscopic myomectomy.

BACKGROUND

Reproductive outcomes after traditional laparoscopic myomectomy are well documented. However, reproductive outcomes following robotic myomectomy are not well studied. This paper describes the pregnancy outcomes for a large cohort of women after robotic myomectomy.

METHODS

This is a retrospective cohort of women who became pregnant after robot-assisted myomectomy at three centers. Of the 872 women who underwent robotic myomectomy during the period October 2005-November 2010, 107 subsequently conceived resulting in 127 pregnancies and 92 deliveries through 2011.

METHODS

Women of reproductive age with fibroids who wanted a minimally invasive treatment option and desired uterine preservation were recruited. We conducted a multicentre study with three centers, two in a private practice and one in an academic setting. Pregnancy outcomes and their relationship to myoma characteristics were analyzed.

RESULTS

Mean ± SD age at myomectomy was 34.8 ± 4.5 years and 57.4% [95% confidence interval (CI) 48.0, 66.3] of women were overweight or obese. The mean number of myomas removed was 3.9 ± 3.2 with a mean size of 7.5 ± 3.0 cm and mean weight of 191.7 ± 144.8 g. Entry of the myoma into the endometrial cavity occurred in 20.6% (95% CI 15.0, 27.7) of patients. The mean time to conception was 12.9 ± 11.5 months. Assisted reproduction techniques were employed in 39.4% (95% CI 32.6, 46.7) of these women. Seven twin pregnancies and two triplet pregnancies occurred, for a multiple pregnancy birth rate of 9.8% (95% CI 5.0, 17.8). Spontaneous abortions occurred in 18.9% (95% CI 13.0, 26.6). Preterm delivery prior to 35 weeks of gestational age occurred in 17.4% (95% CI 10.9, 26.5). One uterine rupture (1.1%; 95% CI 0.3, 4.7) was documented. Pelvic adhesions were discovered in 11.4% (95% CI 7.0, 18.0) of patients delivered by Cesarean section. Higher preterm delivery rates were significantly associated with a greater number of myomas removed and anterior location of the largest incision (compared with all other sites) in logistic regression analyses (P = 0.01). None of the myoma characteristics were related to spontaneous abortion.

CONCLUSIONS

Given the retrospective nature of the data collection, some pregnancies may not have been captured. In addition, owing to the high prevalence of infertility patients in this cohort, the data cannot be used to counsel women who are undergoing RALM about fertility rates after surgery.

CONCLUSIONS

Prospective studies are needed to determine if the results shown in our cohort are generalizable to all women seeking a minimally invasive option for the conservative treatment of symptomatic fibroids with pregnancy as a desired outcome.

BACKGROUND

There was no funding source for this study.

Facebook səhifəmizə qoşulun

Elm tərəfindən dəstəklənən ən tam dərman bitkiləri bazası

  • 55 dildə işləyir
  • Elm tərəfindən dəstəklənən bitki mənşəli müalicələr
  • Təsvirə görə otların tanınması
  • İnteraktiv GPS xəritəsi - yerdəki otları etiketləyin (tezliklə)
  • Axtarışınızla əlaqəli elmi nəşrləri oxuyun
  • Təsirlərinə görə dərman bitkilərini axtarın
  • Maraqlarınızı təşkil edin və xəbər araşdırmaları, klinik sınaqlar və patentlər barədə məlumatlı olun

Bir simptom və ya bir xəstəlik yazın və kömək edə biləcək otlar haqqında oxuyun, bir ot yazın və istifadə olunan xəstəliklərə və simptomlara baxın.
* Bütün məlumatlar dərc olunmuş elmi araşdırmalara əsaslanır

Google Play badgeApp Store badge