Desire to have children and preferences regarding to pre-pregnancy counselling in women with SLE.
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ABSTRACT: Objectives
Pre-pregnancy counselling in women with systemic lupus erythematosus (SLE) is important in order to improve knowledge on the risks of pregnancy and to optimize pregnancy outcomes. Knowledge on the preferences of women with SLE regarding pre-pregnancy counselling have not yet been studied. In a closely monitored cohort of women with SLE we enquired about the present status of their wish to have children, and wish for and experiences with pre-pregnancy counselling.Methods
A questionnaire developed by physicians in collaboration with two women with SLE was sent to all (n = 177) women participating in the Amsterdam SLE cohort. The questionnaire comprised 32 items, of which 15 focused on the above-mentioned three themes.Results
A total of 124 women (70%) returned the questionnaire. The median disease duration was 13 years (interquartile range 9-19). Childlessness occurred in 51 women and 31% declared this was due to SLE [conscious decision (21%), stringent medical advice (6%), infertility due to medication (4%)]. Half of the women preferred the first pre-pregnancy counselling immediately after the SLE diagnosis (53%), together with their partner (69%). Information given by healthcare providers (81%) was preferred over information provided via brochures (35%) or the internet (26%). Pre-pregnancy face-to-face counselling from a rheumatologist and/or gynaecologist separately was preferred in 54%.Conclusion
One-third of women attributed their childlessness to SLE-related reasons. Pre-pregnancy counselling was preferred shortly after the onset of the disease in a non-multidisciplinary setting. The results of this study underline the importance of timely pre-conceptional counselling by healthcare providers on fertility, risks and pregnancy outcomes in women with SLE.
SUBMITTER: Blomjous BS
PROVIDER: S-EPMC8489423 | biostudies-literature |
REPOSITORIES: biostudies-literature
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| S-EPMC10880225 | biostudies-literature
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| S-EPMC4899585 | biostudies-literature
Project description:BackgroundA longstanding gap in the reproductive health field has been the availability of a screening instrument that can reliably predict a person's likelihood of becoming pregnant. The Desire to Avoid Pregnancy Scale is a new measure; understanding its sensitivity and specificity as a screening tool for pregnancy as well as its predictive ability and how this varies by socio-demographic factors is important to inform its implementation.MethodsThis analysis was conducted on a cohort of 994 non-pregnant participants recruited in October 2018 and followed up for one year. The cohort was recruited using social media as well as advertisements in a university, school, abortion clinic and outreach sexual health service. Almost 90% of eligible participants completed follow-up at 12 months; those lost to follow-up were not significantly different on key socio-demographic factors. We used baseline DAP score and a binary variable of whether participants experienced pregnancy during the study to assess the sensitivity, specificity, area under the ROC curve (AUROC) and positive and negative predictive values (PPV and NPV) of the DAP at a range of cut-points. We also examined how the predictive ability of the DAP varied according to socio-demographic factors and by the time frame considered (e.g., pregnancy within 3, 6, 9 and 12 months).ResultsAt a cut-point of 2 on the 0-4 range of the DAP scale, the DAP had a sensitivity of 0.78, a specificity of 0.81 and an excellent AUROC of 0.87. In this sample the cumulative incidence of pregnancy was 16% (95%CI 13%, 18%) making the PPV 43% and the NPV 95% at this cut-point. The DAP score was the factor most strongly associated with pregnancy, even after age and number of children were taken into account. The association between baseline DAP score and pregnancy did not differ across time frames.ConclusionsThis is the first study to assess the DAP scale as a screening tool and shows that its predictive ability is superior to the limited pre-existing pregnancy prediction tools. Based on our findings, the DAP could be used with a cut-point selected according to the purpose.
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