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Sökning: WFRF:(Petersen Kathrine B.)

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1.
  • Colmorn, Lotte B., et al. (författare)
  • The Nordic Obstetric Surveillance Study: a study of complete uterine rupture, abnormally invasive placenta, peripartum hysterectomy, and severe blood loss at delivery
  • 2015
  • Ingår i: Acta Obstetricia et Gynecologica Scandinavica. - : Wiley. - 1600-0412 .- 0001-6349. ; 94:7, s. 734-744
  • Tidskriftsartikel (refereegranskat)abstract
    • Objective: To assess the rates and characteristics of women with complete uterine rupture, abnormally invasive placenta, peripartum hysterectomy, and severe blood loss at delivery in the Nordic countries. Design: Prospective, Nordic collaboration. Setting: The Nordic Obstetric Surveillance Study (NOSS) collected cases of severe obstetric complications in the Nordic countries from April 2009 to August 2012. Sample and methods: Cases were reported by clinicians at the Nordic maternity units and retrieved from medical birth registers, hospital discharge registers, and transfusion databases by using International Classification of Diseases, 10th revision codes on diagnoses and the Nordic Medico-Statistical Committee Classification of Surgical Procedure codes. Main outcome measures: Rates of the studied complications and possible risk factors among parturients in the Nordic countries. Results: The studied complications were reported in 1019 instances among 605362 deliveries during the study period. The reported rate of severe blood loss at delivery was 11.6/10000 deliveries, complete uterine rupture was 5.6/10000 deliveries, abnormally invasive placenta was 4.6/10000 deliveries, and peripartum hysterectomy was 3.5/10000 deliveries. Of the women, 25% had two or more complications. Women with complications were more often >35years old, overweight, with a higher parity, and a history of cesarean delivery compared with the total population. Conclusion: The studied obstetric complications are rare. Uniform definitions and valid reporting are essential for international comparisons. The main risk factors include previous cesarean section. The detailed information collected in the NOSS database provides a basis for epidemiologic studies, audits, and educational activities.
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2.
  • Munk-Olsen, Trine, et al. (författare)
  • Postpartum depression : a developed and validated model predicting individual risk in new mothers
  • 2022
  • Ingår i: Translational Psychiatry. - : Springer Nature. - 2158-3188. ; 12:1
  • Tidskriftsartikel (refereegranskat)abstract
    • Postpartum depression (PPD) is a serious condition associated with potentially tragic outcomes, and in an ideal world PPDs should be prevented. Risk prediction models have been developed in psychiatry estimating an individual's probability of developing a specific condition, and recently a few models have also emerged within the field of PPD research, although none are implemented in clinical care. For the present study we aimed to develop and validate a prediction model to assess individualized risk of PPD and provide a tentative template for individualized risk calculation offering opportunities for additional external validation of this tool. Danish population registers served as our data sources and PPD was defined as recorded contact to a psychiatric treatment facility (ICD-10 code DF32-33) or redeemed antidepressant prescriptions (ATC code N06A), resulting in a sample of 6,402 PPD cases (development sample) and 2,379 (validation sample). Candidate predictors covered background information including cohabitating status, age, education, and previous psychiatric episodes in index mother (Core model), additional variables related to pregnancy and childbirth (Extended model), and further health information about the mother and her family (Extended+ model). Results indicated our recalibrated Extended model with 14 variables achieved highest performance with satisfying calibration and discrimination. Previous psychiatric history, maternal age, low education, and hyperemesis gravidarum were the most important predictors. Moving forward, external validation of the model represents the next step, while considering who will benefit from preventive PPD interventions, as well as considering potential consequences from false positive and negative test results, defined through different threshold values.
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