Importance: Chronic hypertension and preeclampsia are leading risk enhancers for maternal-neonatal morbidity and mortality. Severe maternal morbidity (SMM) indicators include heart, kidney, and liver disease, but studies have not excluded patients with preexisting diseases that define SMM. Thus, SMM risks for uncomplicated chronic hypertension specific to preeclampsia remain unclear.
View Article and Find Full Text PDFEpigenetic regulation and metabolism are connected. Epigenetic regulators, like the SIN3 complex, affect the expression of a wide range of genes, including those encoding metabolic enzymes essential for central carbon metabolism. The idea that epigenetic modifiers can sense and respond to metabolic flux by regulating gene expression has long been proposed.
View Article and Find Full Text PDFImportance: Food insecurity is a growing public health concern, but its association with perinatal complications remains unclear.
Objective: To examine whether food insecurity in pregnancy was associated with the risk of perinatal complications and determine whether these potential associations differed by receipt of food assistance.
Design, Setting, And Participants: This cohort study used data from a pregnancy survey conducted between June 22, 2020, and September 9, 2022, at Kaiser Permanente Northern California, an integrated health care system serving a diverse population of 4.
Background: The role of adjuvant chemotherapy in early-stage small cell lung cancer (SCLC) and large cell neuroendocrine carcinoma (LCNEC) remains unclear, particularly for small tumors. This study assesses the survival benefits of adjuvant chemotherapy after surgical resection with a novel focus on tumors less than 1 cm.
Materials And Methods: Data from the National Cancer Database (NCDB) was extracted for patients with SCLC (n = 11,962) and LCNEC (n = 6821) who underwent surgical resection between 2004 and 2020.
This tutorial focuses on opportunities and challenges associated with using six large, publicly accessible spatial databases published during the last decade by US federal agencies. These databases provide opportunities for researchers to risk-inform policy by comparing community asset, demographic, economic, and social data, along with anthropogenic and natural hazard data at multiple geographic scales. The opportunities for data analysis come with challenges, including data accuracy, variations in the shape and size of data cells, spatial autocorrelation, and other issues endemic to spatial datasets.
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