Introduction: Benign breast disease (BBD) and high mammographic breast density (MBD) are prevalent and independent risk factors for invasive breast cancer. It has been suggested that temporal changes in MBD may impact future invasive breast cancer risk, but this has not been studied among women with BBD.
Methods: We undertook a nested case-control study within a cohort of 15,395 women with BBD in Kaiser Permanente Northwest (KPNW; 1970-2012, followed through mid-2015).
Problem: Medication for opioid use disorder (MOUD) is recommended for persons with opioid use disorder (OUD) during pregnancy. However, knowledge gaps exist about best practices for management of OUD during pregnancy and these data are needed to guide clinical care.
Period Covered: 2014-2021.
Background: Benign breast disease (BBD) is a strong breast cancer risk factor, but identifying patients that might develop invasive breast cancer remains a challenge.
Methods: By applying machine-learning to digitized hematoxylin and eosin-stained biopsies and computer-assisted thresholding to mammograms obtained circa BBD diagnosis, we generated quantitative tissue composition metrics and determined their association with future invasive breast cancer diagnosis. Archival breast biopsies and mammograms were obtained for women (18-86 years of age) in a case-control study, nested within a cohort of 15 395 BBD patients from Kaiser Permanente Northwest (1970-2012), followed through mid-2015.
Unmet basic needs (eg, food insecurity, inadequate housing) are major barriers to diabetes self-management. The purpose of this study was to identify the prevalence of unmet basic needs and examine the association with diabetes control and care utilization among insured persons with diabetes. A total of 4043 adult patients with diabetes were screened for unmet basic needs using Your Current Life Situation, a screener for unmet basic needs, during a clinical encounter or as an online survey, during the study period (January 1, 2016-August 31, 2017).
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