Maternal Fatigue after Postpartum Anemia Treatment with Intravenous Ferric Carboxymaltose vs. Intravenous Ferric Derisomaltose vs. Oral Ferrous Sulphate: A Randomized Controlled Trial.

(1) Background: Postpartum anemia is a common maternal complication and is recognized as a cause of impaired quality of life, reduced cognitive abilities, and fatigue. Efficient iron supplementation for the treatment of postpartum anemia is an essential component of high-quality maternal care. The optimal mode of iron supplementation has not been determined yet, whether oral or intravenous. The objective of this study was to compare postpartum anemia treatment with intravenous ferric carboxymaltose, intravenous ferric derisomaltose, and oral ferrous sulfate. (2) Methods: A single-center, open-label, randomized controlled trial. Women with hemoglobin < 100 g/L within 48 h postpartum were randomly allocated to receive intravenous ferric carboxymaltose, intravenous ferric derisomaltose, or oral ferrous sulfate. Intravenous iron was given in one or two doses, while ferrous sulfate was given as two 80 mg tablets once daily. The primary outcome was maternal fatigue measured by the Multidimensional Fatigue Inventory (MFI) six weeks postpartum. Hemoglobin, ferritin, and transferrin saturation levels were analyzed as secondary outcomes. A Kruskal-Wallis test was used for group comparison (p < 0.05 significant). (3) Results: Three hundred women were included. The MFI score at six weeks postpartum did not differ between groups (median 38 (inter-quartile range (IQR) 29-47) in the ferric carboxymaltose group, median 34 (IQR 26-42) in the ferric derisomaltose group, and median 36 (IQR 25-47) in the ferrous sulfate group; p = 0.26). Participants receiving oral iron had lower levels of hemoglobin (135 (131-139) vs. 134 (129-139) vs. 131 (125-137) g/L; p = 0.008), ferritin (273 (198-377) vs. 187 (155-246) vs. 24 (17-37) µg/L; p < 0.001) and transferrin saturation (34 (28-38) vs. 30 (23-37) vs. 24 (17-37) %; p < 0.001) than those receiving ferric carboxymaltose or ferric derisomaltose. (4) Conclusions: Intravenous ferric carboxymaltose, intravenous ferric derisomaltose, and oral ferrous sulfate had similar impacts on maternal fatigue at six weeks postpartum despite improved laboratory parameters in the intravenous groups.

Incidence of postpartum depression after treatment of postpartum anaemia with intravenous ferric carboxymaltose, intravenous ferric derisomaltose or oral ferrous sulphate: A randomized clinical trial.

Objectives: This study aimed to explore whether the type of iron preparation used to treat postpartum anaemia affects the incidence of postpartum depression and whether the risk of postpartum depression is higher in postpartum patients with anaemia who were adequately treated compared to the general postpartum population. Study design: Single-center, open-label, randomized trial. Women were allocated to receive intravenous ferric carboxymaltose, intravenous ferric derisomaltose or oral ferrous sulphate. Intravenous iron was given in one or two doses, while ferrous sulphate as two 80 mg tablets once daily. Primary outcome was postpartum depression measured by Edinburgh Postnatal Depression Scale (EPDS) six weeks postpartum. Haematological parameters were analyzed as secondary outcomes. Kruskal-Wallis test was used for group comparison (p < 0.05 significant). The chi-square test was applied to compare categorical variables as well as the group of all subjects treated for anaemia in the study with the historical data for the Slovenian postpartum population. Results: Three-hundred women with postpartum anemia (hemoglobin < 100 g/L within 48-hours postpartum) were included between September 2020 and March 2022 in tertiary perinatal center. Most characteristics were similar across groups. EPDS score at six weeks postpartum did not differ between groups. The treatment modality of postpartum anaemia did not have a statistically significant effect on the EPDS score six weeks after treatment (p = 0.10), nor did it have a statistically significant effect on the difference in EPDS scores before and after treatment (p = 0.68). The proportions of participants who scored 10 or more points on the EPDS scores at six weeks postpartum were not statistically different between the groups (p = 0.79). The proportion of participants with an EPDS score of 10 or more at six weeks postpartum in the total study population did not differ significantly from previously reported proportion of postpartum women with EPDS score of 10 or more in the general population (12 % vs. 21 %; p < 0.001). Conclusions: Maternal depression at 6 weeks postpartum did not differ in women treated for postpartum anemia with intravenous ferric carboxymaltose, intravenous ferric derisomaltose or oral ferrous sulphate. Participants with postpartum anaemia who are adequately treated with either oral or intravenous iron preparations are not at a higher risk of postpartum depression than the general population at six weeks postpartum.

Wellbeing Forecasting in Postpartum Anemia Patients.

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.