Background: Black women with epithelial ovarian cancer (EOC) have worse survival and a higher burden of comorbid conditions compared with other racial groups. This study examines the association of comorbid conditions and medication use for these conditions with survival among Black women with EOC.
Methods: In a prospective study of 592 Black women with EOC, the Charlson comorbidity index (CCI) based on self-reported data, three cardiometabolic comorbidities (type 2 diabetes, hypertension, and hyperlipidemia), and medication use for each cardiometabolic comorbidity were evaluated.
Mycobacterium avium complex bacteria cause chronic pulmonary disease (MAC-PD) in susceptible patients [1]. The recommended treatment regimen (rifampicin, ethambutol and azithromycin) achieves 65% cure rates but with considerable toxicity and drug-drug interactions [2,3]. Minocycline proved active in monotherapy experiments using the hollow-fibre model [4].
View Article and Find Full Text PDFTuberculosis (TB) is a major global health threat and demands improved diagnostic and treatment monitoring methods. Conventional diagnostics, such as sputum smear microscopy and culture, are limited by slow results and low sensitivity, particularly in certain patient groups. Recent advances in biomarker research offer promising solutions in three key areas: risk of disease, diagnosis of active disease and monitoring of treatment response.
View Article and Find Full Text PDFImportance: Ovarian cancer survival among Black women is the lowest across all racial and ethnic groups. Poor dietary quality also disproportionately affects Black populations, but its association with ovarian cancer survival in this population remains largely unknown.
Objective: To examine associations between dietary patterns and survival among Black women diagnosed with epithelial ovarian cancer (EOC).
Background: Mediation by multiple agents can affect the relation between neighborhood deprivation and segregation indices and ovarian cancer survival. In this paper, we examine a variety of potential clinical mediators in the association between deprivation indices (DIs) and segregation indices (SIs) with all-cause survival among women with ovarian cancer in the African American Cancer Epidemiology Study (AACES).
Methods: We use novel Bayesian multiple mediation structural models to assess the joint role of mediators (stage at diagnosis, histology, diagnostic delay) combined with the DIs and SIs (Yost, ADI, Kolak's URB, ICE-income) and a set of confounders with survival.