Medicine and Health Sciences Commons^™

Age Moderates The Effect Of Injury Severity On Functional Trajectories In Traumatic Brain Injury: A Study Using The Nidilrr Traumatic Brain Injury Model Systems National Dataset., Laraine Winter, Janell L Mensinger, Helene J Moriarty, Keith M Robinson, Michelle Mckay, Benjamin E Leiby

Department of Pharmacology and Experimental Therapeutics Faculty Papers

Age is a risk factor for a host of poor outcomes following traumatic brain injury (TBI), with some evidence suggesting that age is also a source of excess disability. We tested the extent to which age moderates the effect of injury severity on functional trajectories over 15 years post injury. Data from 11,442 participants from the 2020 National Institute of Disability and Independent Living Rehabiitation Research (NIDILRR) Traumatic Brain Injury Model Systems (TBIMS) National Dataset were analyzed using linear mixed effects models. Injury severity was operationally defined using a composite of Glasgow Coma Scale scores, structural imaging findings, and the …

Review Article: Diagnosis, Management And Patient Perspectives Of The Spectrum Of Constipation Disorders., Amol Sharma, Satish S C Rao, Kimberly Kearns, Kimberly D Orleck, Scott A Waldman

Department of Pharmacology and Experimental Therapeutics Faculty Papers

BACKGROUND: Chronic constipation is a common, heterogeneous disorder with multiple symptoms and pathophysiological mechanisms. Patients are often referred to a gastroenterology provider after laxatives fail. However, there is limited knowledge of the spectrum and management of constipation disorders.

AIM: To discuss the latest understanding of the spectrum of constipation disorders, tools for identifying a pathophysiologic-based diagnosis in the specialist setting, treatment options and the patient's perspective of constipation.

METHODS: Literature searches were conducted using PubMed for constipation diagnostic criteria, diagnostic tools and approved treatments. The authors provided insight from their own practices.

RESULTS: Clinical assessment, stool diaries and Rome IV …

Survival Associated Pathway Identification With Group Lp Penalized Global Auc Maximization., Zhenqiu Liu, Laurence S Magder, Terry Hyslop, Li Mao

Department of Pharmacology and Experimental Therapeutics Faculty Papers

It has been demonstrated that genes in a cell do not act independently. They interact with one another to complete certain biological processes or to implement certain molecular functions. How to incorporate biological pathways or functional groups into the model and identify survival associated gene pathways is still a challenging problem. In this paper, we propose a novel iterative gradient based method for survival analysis with group Lp penalized global AUC summary maximization. Unlike LASSO, Lp (p < 1) (with its special implementation entitled adaptive LASSO) is asymptotic unbiased and has oracle properties 1. We first extend Lp for individual gene identification to group Lp penalty for pathway selection, and then develop a novel iterative gradient algorithm for penalized global AUC summary maximization (IGGAUCS). This method incorporates the genetic pathways into global AUC summary maximization and identifies survival associated pathways instead of individual genes. The tuning parameters are determined using 10-fold cross validation with training data only. The prediction performance is evaluated using test data. We apply the proposed method to survival outcome analysis with gene expression profile and identify multiple pathways simultaneously. Experimental results with simulation and gene expression data demonstrate that the proposed procedures can be used for identifying important biological pathways that are related to survival phenotype and for building a parsimonious model for predicting the survival times.