Browsing by Subject "Chronic Disease"
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Item At the intersection of precision medicine and population health: an implementation-effectiveness study of family health history based systematic risk assessment in primary care(BioMed Central Ltd., 2020-11-07) Orlando, Lori A.; Wu, R. Ryanne; Myers, Rachel A.; Neuner, Joan; McCarty, Catherine; Haller, Irina V.; Harry, Melissa; Fulda, Kimberly G.; Dimmock, David; Rakhra-Burris, Teji; Buchanan, Adam; Ginsburg, Geoffrey S.Background: Risk assessment is a precision medicine technique that can be used to enhance population health when applied to prevention. Several barriers limit the uptake of risk assessment in health care systems; and little is known about the potential impact that adoption of systematic risk assessment for screening and prevention in the primary care population might have. Here we present results of a first of its kind multi-institutional study of a precision medicine tool for systematic risk assessment. Methods: We undertook an implementation-effectiveness trial of systematic risk assessment of primary care patients in 19 primary care clinics at four geographically and culturally diverse healthcare systems. All adult English or Spanish speaking patients were invited to enter personal and family health history data into MeTree, a patient-facing family health history driven risk assessment program, for 27 medical conditions. Risk assessment recommendations followed evidence-based guidelines for identifying and managing those at increased disease risk. Results: One thousand eight hundred eighty-nine participants completed MeTree, entering information on N = 25,967 individuals. Mean relatives entered = 13.7 (SD 7.9), range 7-74. N = 1443 (76.4%) participants received increased risk recommendations: 597 (31.6%) for monogenic hereditary conditions, 508 (26.9%) for familial-level risk, and 1056 (56.1%) for risk of a common chronic disease. There were 6617 recommendations given across the 1443 participants. In multivariate analysis, only the total number of relatives entered was significantly associated with receiving a recommendation. Conclusions: A significant percentage of the general primary care population meet criteria for more intensive risk management. In particular 46% for monogenic hereditary and familial level disease risk. Adopting strategies to facilitate systematic risk assessment in primary care could have a significant impact on populations within the U.S. and even beyond.Item Chronic Disease, sleep quality, and TNF-alpha: Understanding Pathophysiologic Processes(2009-08-01) Sprawls, Kelly S.; Kathryn CardarelliThe purpose of this study was to explore the association between poor sleep quality and TNF-alpha levels and determine which chronic diseases modify this relationship. In this cross-sectional study of 75 participants, we ascertained sleep quality by means of the Pittsburgh Sleep Quality Index (PSQI). Analyses revealed females were more likely to experience poor sleep quality compared to males. Although sleep quality was not associated with TNFlevels, significant associations were detected with dyslipidemia and tobacco use. Interestingly, we discovered hypertension and diabetes modified the relationship, creating a trend toward inverse associations. As for the relationship between chronic disease and sleep quality, depressive symptomatology and pain were strongly correlated. Unexpectedly, diabetes bordered associations with improved sleep quality. Larger longitudinal studies are needed to confirm these relationships and explore the effects of improved sleep quality and chronic disease management on TNF-alpha levels.Item Patient genetics is linked to chronic wound microbiome composition and healing(PLOS, 2020-06-18) Tipton, Craig D.; Wolcott, Randall D.; Sanford, Nicholas E.; Miller, Clint; Pathak, Gita A.; Silzer, Talisa K.; Sun, Jie; Fleming, Derek; Rumbaugh, Kendra P.; Little, Todd D.; Phillips, Nicole; Phillips, Caleb D.The clinical importance of microbiomes to the chronicity of wounds is widely appreciated, yet little is understood about patient-specific processes shaping wound microbiome composition. Here, a two-cohort microbiome-genome wide association study is presented through which patient genomic loci associated with chronic wound microbiome diversity were identified. Further investigation revealed that alternative TLN2 and ZNF521 genotypes explained significant inter-patient variation in relative abundance of two key pathogens, Pseudomonas aeruginosa and Staphylococcus epidermidis. Wound diversity was lowest in Pseudomonas aeruginosa infected wounds, and decreasing wound diversity had a significant negative linear relationship with healing rate. In addition to microbiome characteristics, age, diabetic status, and genetic ancestry all significantly influenced healing. Using structural equation modeling to identify common variance among SNPs, six loci were sufficient to explain 53% of variation in wound microbiome diversity, which was a 10% increase over traditional multiple regression. Focusing on TLN2, genotype at rs8031916 explained expression differences of alternative transcripts that differ in inclusion of important focal adhesion binding domains. Such differences are hypothesized to relate to wound microbiomes and healing through effects on bacterial exploitation of focal adhesions and/or cellular migration. Related, other associated loci were functionally enriched, often with roles in cytoskeletal dynamics. This study, being the first to identify patient genetic determinants for wound microbiomes and healing, implicates genetic variation determining cellular adhesion phenotypes as important drivers of infection type. The identification of predictive biomarkers for chronic wound microbiomes may serve as risk factors and guide treatment by informing patient-specific tendencies of infection.Item The Association of Mobile Health Applications with Self-Management Behaviors among Adults with Chronic Conditions in the United States(MDPI, 2021-09-30) Wang, Hao; Ho, Amy F.; Wiener, R. Constance; Sambamoorthi, UshaBACKGROUND: Mobile applications related to health and wellness (mHealth apps) are widely used to self-manage chronic conditions. However, research on whether mHealth apps facilitate self-management behaviors of individuals with chronic conditions is sparse. We aimed to evaluate the association of mHealth apps with different types of self-management behaviors among patients with chronic diseases in the United States. METHODS: This is a cross-sectional observational study. We used data from adult participants (unweighted n = 2340) of the Health Information National Trends Survey in 2018 and 2019. We identified three self-management behaviors: (1) resource utilization using electronic personal health records; (2) treatment discussions with healthcare providers; and (3) making healthcare decisions. We analyzed the association of mHealth apps to self-management behaviors with multivariable logistic and ordinal regressions. RESULTS: Overall, 59.8% of adults (unweighted number = 1327) used mHealth apps. Adults using mHealth apps were more likely to use personal health records (AOR = 3.11, 95% CI 2.26-4.28), contact healthcare providers using technology (AOR = 2.70, 95% CI 1.93-3.78), and make decisions on chronic disease management (AOR = 2.59, 95% CI 1.93-3.49). The mHealth apps were associated with higher levels of self-management involvement (AOR = 3.53, 95% CI 2.63-4.72). CONCLUSION: Among individuals with chronic conditions, having mHealth apps was associated with positive self-management behaviors.