Medicine and Health Sciences Commons^™

Ascertainment Of Minimal Clinically Important Differences In The Diabetes Distress Scale-17: A Secondary Analysis Of A Randomized Clinical Trial, Jack Banks, Amber B Amspoker, Elizabeth M Vaughan, Lechauncy Woodard, Aanand D Naik

Journal Articles

IMPORTANCE: The Diabetes Distress Scale-17 (DDS-17) is a common measure of diabetes distress. Despite its popularity, there are no agreed-on minimal clinically important difference (MCID) values for the DDS-17.

OBJECTIVE: to establish a distribution-based metric for MCID in the DDS-17 and its 4 subscale scores (interpersonal distress, physician distress, regimen distress, and emotional distress).

DESIGN, SETTING, AND PARTICIPANTS: This secondary analysis of a randomized clinical trial used baseline and postintervention data from a hybrid (implementation-effectiveness) trial evaluating Empowering Patients in Chronic Care (EPICC) vs an enhanced form of usual care (EUC). Participants included adults with uncontrolled type 2 diabetes (glycated …

Lowering Of Circulating Sclerostin May Increase Risk Of Atherosclerosis And Its Risk Factors: Evidence From A Genome-Wide Association Meta-Analysis Followed By Mendelian Randomization, Jie Zheng, Eleanor Wheeler, Maik Pietzner, Till F M Andlauer, Michelle S Yau, April E Hartley, Ben Michael Brumpton, Humaira Rasheed, John P Kemp, Monika Frysz, Jamie Robinson, Sjur Reppe, Vid Prijatelj, Kaare M Gautvik, Louise Falk, Winfried Maerz, Ingrid Gergei, Patricia A Peyser, Maryam Kavousi, Paul S De Vries, Clint L Miller, Maxime Bos, Sander W Van Der Laan, Rajeev Malhotra, Markus Herrmann, Hubert Scharnagl, Marcus Kleber, George Dedoussis, Eleftheria Zeggini, Maria Nethander, Claes Ohlsson, Mattias Lorentzon, Nick Wareham, Claudia Langenberg, Michael V Holmes, George Davey Smith, Jonathan H Tobias

Journal Articles

OBJECTIVE: In this study, we aimed to establish the causal effects of lowering sclerostin, target of the antiosteoporosis drug romosozumab, on atherosclerosis and its risk factors.

METHODS: A genome-wide association study meta-analysis was performed of circulating sclerostin levels in 33,961 European individuals. Mendelian randomization (MR) was used to predict the causal effects of sclerostin lowering on 15 atherosclerosis-related diseases and risk factors.

RESULTS: We found that 18 conditionally independent variants were associated with circulating sclerostin. Of these, 1 cis signal in SOST and 3 trans signals in B4GALNT3, RIN3, and SERPINA1 regions showed directionally opposite signals for sclerostin levels and …

Opportunistic Detection Of Type 2 Diabetes Using Deep Learning From Frontal Chest Radiographs, Ayis Pyrros, Stephen M. Borstelmann, Ramana Mantravadi, Zachary Zaiman, Kaesha Thomas, Brandon Price, Eugene Greenstein, Nasir Siddiqui, Melinda Willis, Ihar Shulhan, John Hines-Shah, Jeanne M. Horowitz, Paul Nikolaidis, Matthew P. Lungren, Jorge Mario Rodríguez-Fernández, Judy Wawira Gichoya, Sanmi Koyejo, Adam E. Flanders, Nishith Khandwala, Amit Gupta, John W. Garrett, Joseph Paul Cohen, Brian T. Layden, Perry J. Pickhardt, William Galanter

Department of Radiology Faculty Papers

Deep learning (DL) models can harness electronic health records (EHRs) to predict diseases and extract radiologic findings for diagnosis. With ambulatory chest radiographs (CXRs) frequently ordered, we investigated detecting type 2 diabetes (T2D) by combining radiographic and EHR data using a DL model. Our model, developed from 271,065 CXRs and 160,244 patients, was tested on a prospective dataset of 9,943 CXRs. Here we show the model effectively detected T2D with a ROC AUC of 0.84 and a 16% prevalence. The algorithm flagged 1,381 cases (14%) as suspicious for T2D. External validation at a distinct institution yielded a ROC AUC of …

Genome-Wide Association Analysis Identifies Ancestry-Specific Genetic Variation Associated With Acute Response To Metformin And Glipizide In Sugar-Mgh, Josephine H Li, Laura N Brenner, Varinderpal Kaur, Katherine Figueroa, Philip Schroeder, Alicia Huerta-Chagoya, Miriam S Udler, Aaron Leong, Josep M Mercader, Jose C Florez

Journal Articles

AIMS/HYPOTHESIS: Characterisation of genetic variation that influences the response to glucose-lowering medications is instrumental to precision medicine for treatment of type 2 diabetes. The Study to Understand the Genetics of the Acute Response to Metformin and Glipizide in Humans (SUGAR-MGH) examined the acute response to metformin and glipizide in order to identify new pharmacogenetic associations for the response to common glucose-lowering medications in individuals at risk of type 2 diabetes.

METHODS: One thousand participants at risk for type 2 diabetes from diverse ancestries underwent sequential glipizide and metformin challenges. A genome-wide association study was performed using the Illumina Multi-Ethnic Genotyping …

Effect Of "Maccog" Tcm Tea On Improving Glucolipid Metabolism And Gut Microbiota In Patients With Type 2 Diabetes In Community, Biyue Hu, Tongtong Yin, Jiajia Zhang, Minjing Liu, Hang Yun, Jian Wang, Renmei Guo, Jie Huang, Yixia Zhou, Hongyan Meng, Li Wang

Journal Articles

OBJECTIVES: This work aimed to observe the effect of consuming Chinese herb tea on glucolipid metabolism and gut microbiota in patients with type 2 diabetes mellitus (T2DM).

METHODS: Ninety patients with T2DM were recruited from a community and randomly divided into the control group (CG) and intervention group (IG). CG maintained conventional treatment and lifestyle, and IG accepted additional "maccog" traditional Chinese medicine (TCM) tea (mulberry leaf, radix astragali, corn stigma, cortex lycii, radix ophiopogonis, and gynostemma) for 12 weeks. Glucolipid metabolism, hepatorenal function, and gut microbiota were then measured.

RESULTS: After the intervention, the decreases in fasting plasma glucose …