Mütterliche Anämie post partum - Entwicklungstendenzen und Variabilität unter Berücksichtigung unterschiedlicher Klinikkategorien

Simoes, Elisabeth; Kunz, S; Bosing-Schwenkglenks, M.; Fw, Schmahl

doi:10.1055/s-2004-832638

Cited by 7 publications

(5 citation statements)

References 19 publications

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“…Despite the correction of iron stores, their control may often be overridden by obstetric hemorrhage, a major risk during the postpartum period [ 16 ]. Together with the increase of postpartum hemorrhage (PPH), the prevalence of PPA in Germany also increased by 3.4% over the time course of five years [ 17 ].…”

Section: Prevalence Of Postpartum Anemiamentioning

confidence: 99%

Current concepts in postpartum anemia management

Neef,

Choorapoikayil,

Hof

et al. 2024

Current Opinion in Anaesthesiology

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Purpose of review Postpartum anemia (PPA) is common in women after childbirth and affects about 50–80% of all women worldwide. Iron deficiency (ID) is the main cause for anemia and constitutes a potentially preventable condition with great impact on the mother's physical and mental condition after delivery. In most cases, PPA is associated with antenatal ID and peripartum blood losses. Numerous published studies confirmed the positive effect of PPA diagnosis and treatment. Recent findings Iron deficiency as well as iron deficiency anemia (IDA) are common in the postpartum period and represent significant health problems in women of reproductive age. Summary Important movements towards early detection and therapy of postpartum anemia have been observed. However, postpartum anemia management is not implemented on a large scale as many healthcare professionals are not aware of the most recent findings in the field. Diagnosis and therapy of PPA, particularly iron supplementation in ID and IDA, has proven to be highly effective with a tremendous effect on women's wellbeing and outcome.

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Section: Prevalence Of Postpartum Anemiamentioning

confidence: 99%

Current concepts in postpartum anemia management

Neef,

Choorapoikayil,

Hof

et al. 2024

Current Opinion in Anaesthesiology

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“…The features included in the data are given in Table 1. They include personal features (1)(2)(3)(4)(5)(6)(7)(8)(9)18), blood test features (11)(12)(13)(14)(15)(16)(17), survey-based features (19)(20)(21), and medication features [22]. Blood test features, BMI (body mass index), and survey-based features (11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21) were taken both right after birth as well as six weeks postpartum.…”

Section: Datasetmentioning

confidence: 99%

“…This is a condition where blood has a reduced capacity to carry oxygen to meet physiological needs due to low hemoglobin (Hb) concentration as a consequence of antepartum depletion of iron stores and/or excessive peripartum blood loss [ 2 ]. In comparison with pregnancy, maternal iron requirements usually decline during the puerperium beginning just after childbirth throughout the following six weeks [ 4 ]. This period, therefore, serves as a time to restore iron loss during pregnancy and childbirth since very little iron is excreted through breast milk [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Wellbeing Forecasting in Postpartum Anemia Patients

et al. 2023

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Postpartum anemia is a very common maternal health problem and remains a persistent public health issue globally. It negatively affects maternal mood and could lead to depression, increased fatigue, and decreased cognitive abilities. It can and should be treated by restoring iron stores. However, in most health systems, there is typically a six-week gap between birth and the follow-up postpartum visit. Risks of postpartum maternal complications are usually assessed shortly after birth by clinicians intuitively, taking into account psychosocial and physical factors, such as the presence of anemia and the type of iron supplementation. In this paper, we investigate the possibility of using machine-learning algorithms to more reliably forecast three parameters related to patient wellbeing, namely depression (measured by Edinburgh Postnatal Depression Scale—EPDS), overall tiredness, and physical tiredness (both measured by Multidimensional Fatigue Inventory—MFI). Data from 261 patients were used to train the forecasting models for each of the three parameters, and they outperformed the baseline models that always predicted the mean values of the training data. The mean average error of the elastic net regression model for predicting the EPDS score (with values ranging from 0 to 19) was 2.3 and outperformed the baseline, which already hints at the clinical usefulness of using such a model. We further investigated what features are the most important for this prediction, where the EDPS score and both tiredness indexes at birth turned out to be by far the most prominent prediction features. Our study indicates that the machine-learning model approach has the potential for use in clinical practice to predict the onset of depression and severe fatigue in anemic patients postpartum and potentially improve the detection and management of postpartum depression and fatigue.

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“…Bei unplausiblen Ergebnissen im Rahmen der Auswertung wird eine unzureichende Datenqualität der Perinataldaten allenfalls diskutiert [7,8].…”

Section: Einführungunclassified