KaiserPermanente Tag

07 Jun

Posted at 00:31h in Author Interviews, Diabetes, Technology
MedicalResearch.com Interview with: [caption id="attachment_74111" align="alignleft" width="92"]Luis A. Rodriguez, PhD, MPH, RDResearch Scientist, Kaiser Permanente Northern California Division of Research Assistant Professor, Department of Health System Sciences Kaiser Permanente Bernard J. Tyson School of Medicine Assistant Adjunct Professor, Department of Epidemiology & Biostatistics University of California, San Francisco Dr. Rodriguez[/caption] Luis A. Rodriguez, PhD, MPH, RD Research Scientist, Kaiser Permanente Northern California Division of Research Assistant Professor, Department of Health System Sciences Kaiser Permanente Bernard J. Tyson School of Medicine Assistant Adjunct Professor, Department of Epidemiology & Biostatistics University of California, San Francisco ADA 2026 Poster Presentation: Machine-Learning Modeling for T2DM Prediction in over 3 Million Adults American Diabetes Association 85th Scientific Sessions, June 2026
MedicalResearch.com: What is the background for this study? What are the risk factors used to develop the prediction model? Response: Type 2 diabetes develops gradually over many years, often without clear warning signs. As a result, it can be difficult for health systems to identify which adults are most likely to benefit from prevention efforts before the disease develops. In this study, we used electronic health record data from more than 3 million adults in Kaiser Permanente Northern California to develop a prediction model that estimates an individual's risk of developing type 2 diabetes over 1, 3, and 10 years. The model is based on information routinely collected during clinical care, including age, sex, race/ethnicity, body mass index, blood glucose levels, smoking, physical activity, medical and family history, and medication use. By combining these clinical, biological and behavioral factors, the model provides a more comprehensive assessment of diabetes risk than traditional screening approaches.

30 Aug

Posted at 08:30h in Author Interviews, Endocrinology, Kaiser Permanente, Menopause, OBGYNE, Pediatrics, Pediatrics, Vaccine Studies
MedicalResearch.com Interview with: [caption id="attachment_44211" align="alignleft" width="150"]Allison L. Naleway, PhD Senior Investigator Associate Director, Science Programs Center for Health Research Kaiser Permanente Dr. Naleway[/caption] Allison L. Naleway, PhD Senior Investigator Associate Director, Science Programs Center for Health Research Kaiser Permanente MedicalResearch.com: What is the background for this study? Response: Reports of premature menopause after human papillomavirus (HPV) vaccination have received a lot of media attention, including on social media, but these reports were based on a small number of isolated cases. Large studies have demonstrated the safety of HPV vaccination, but parental safety concerns—including potential impact on future fertility—are often cited as one reason for lower HPV coverage. Rates of HPV vaccination have lagged behind coverage rates for other recommended adolescent vaccinations, such as tetanus-diphtheria-acellular pertussis and meningococcal conjugate. (Based on national coverage estimates from 2016, 65% of 13–17 year-old females received at least one HPV vaccination and only 49.5% were up to date with the series, compared to about 88% of adolescents who received Tdap.) We conducted a study of nearly 200,000 young women to determine whether there was any elevated risk of primary ovarian insufficiency (POI) after HPV or other recommended vaccinations.