Background: Understanding the risks and effects of gestational weight gain (GWG) is a prominent area of perinatal research but approaches for quantifying GWG are evolving and remain underdeveloped, especially in clinical settings for underserved demographic subgroups. To fill this gap, we demonstrated and compared six GWG metrics across pre-pregnancy BMI classifications: total GWG, trimester-specific linear rate of GWG, adherence to total and trimester-specific recommendations, area under the curve, and GWG for gestational age z-scores.
Methods: We used clinical data on 44,801 pregnant people from community-based health care organizations with extensive longitudinal measures and substantial representation of understudied subgroups.
Autologous haematopoietic stem cell transplantation (AHSCT) is a treatment option for relapsing forms of multiple sclerosis (MS) that are refractory to disease-modifying therapy (DMT). AHSCT after failure of high-efficacy DMT in aggressive forms of relapsing-remitting MS is a generally accepted indication, yet the optimal placement of this approach in the treatment sequence is not universally agreed upon. Uncertainties also remain with respect to other indications, such as in rapidly evolving, severe, treatment-naive MS, progressive MS, and neuromyelitis optica spectrum disorder (NMOSD).
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January 2025
Context: Over 40% of pregnancies in the United States are unintended. Women with unintended pregnancies may be less likely to receive timely prenatal care and engage in healthy behaviors immediately before and during pregnancy. Limited research suggests that women with disabilities are more likely to have an unintended pregnancy, but to date no studies have assessed whether intendedness varies by extent of disability.
View Article and Find Full Text PDFPeople with physical disabilities are at increased risk of adverse perinatal outcomes, including severe maternal morbidity (SMM). Risks may be even greater for disabled people in minoritized racial or ethnic groups, but little is known about this intersection. We analyzed linked hospital discharge and vital records data from California, 2008-2020.
View Article and Find Full Text PDFBackground: Medical record abstraction (MRA) is a commonly used method for data collection in clinical research, but is prone to error, and the influence of quality control (QC) measures is seldom and inconsistently assessed during the course of a study. We employed a novel, standardized MRA-QC framework as part of an ongoing observational study in an effort to control MRA error rates. In order to assess the effectiveness of our framework, we compared our error rates against traditional MRA studies that had not reported using formalized MRA-QC methods.
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