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Effect Modification by Social Determinants of Pharmacogenetic Medication Interactions on 90-Day Hospital Readmissions within an Integrated U.S. Healthcare System.
Saulsberry, Loren; Singh, Lavisha; Pruitt, Jaclyn; Ward, Christopher; Wake, Dyson T; Gibbons, Robert D; Meltzer, David O; O'Donnell, Peter H; Cruz-Knight, Wanda; Hulick, Peter J; Dunnenberger, Henry M; David, Sean P.
Afiliação
  • Saulsberry L; Department of Public Health Sciences, The University of Chicago, Chicago, IL 60637, USA.
  • Singh L; Center for Personalized Therapeutics, The University of Chicago, Chicago, IL 60637, USA.
  • Pruitt J; Department of Biostatistics, NorthShore University HealthSystem, Evanston, IL 60201, USA.
  • Ward C; Outcomes Research Network, NorthShore University HealthSystem, Evanston, IL 60201, USA.
  • Wake DT; Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, IL 60201, USA.
  • Gibbons RD; Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, IL 60201, USA.
  • Meltzer DO; Department of Public Health Sciences, The University of Chicago, Chicago, IL 60637, USA.
  • O'Donnell PH; Section of Hospital Medicine, Department of Medicine, The University of Chicago, Chicago, IL 60637, USA.
  • Cruz-Knight W; Center for Personalized Therapeutics, The University of Chicago, Chicago, IL 60637, USA.
  • Hulick PJ; Committee on Clinical Pharmacology & Pharmacogenomics, The University of Chicago, Chicago, IL 60637, USA.
  • Dunnenberger HM; Department of Medicine, The University of Chicago, Chicago, IL 60637, USA.
  • David SP; Department of Family Medicine, NorthShore University HealthSystem, Evanston, IL 60201, USA.
J Pers Med ; 12(7)2022 Jul 15.
Article em En | MEDLINE | ID: mdl-35887642
ABSTRACT
The present study builds on our prior work that demonstrated an association between pharmacogenetic interactions and 90-day readmission. In a substantially larger, more diverse study population of 19,999 adults tracked from 2010 through 2020 who underwent testing with a 13-gene pharmacogenetic panel, we included additional covariates to evaluate aggregate contribution of social determinants and medical comorbidity with the presence of identified gene-x-drug interactions to moderate 90-day hospital readmission (primary outcome). Univariate logistic regression analyses demonstrated that strongest associations with 90 day hospital readmissions were the number of medications prescribed within 30 days of a first hospital admission that had Clinical Pharmacogenomics Implementation Consortium (CPIC) guidance (CPIC medications) (5+ CPIC medications, odds ratio (OR) = 7.66, 95% confidence interval 5.45−10.77) (p < 0.0001), major comorbidities (5+ comorbidities, OR 3.36, 2.61−4.32) (p < 0.0001), age (65 + years, OR = 2.35, 1.77−3.12) (p < 0.0001), unemployment (OR = 2.19, 1.88−2.64) (p < 0.0001), Black/African-American race (OR 2.12, 1.47−3.07) (p < 0.0001), median household income (OR = 1.63, 1.03−2.58) (p = 0.035), male gender (OR = 1.47, 1.21−1.80) (p = 0.0001), and one or more gene-x-drug interaction (defined as a prescribed CPIC medication for a patient with a corresponding actionable pharmacogenetic variant) (OR = 1.41, 1.18−1.70). Health insurance was not associated with risk of 90-day readmission. Race, income, employment status, and gene-x-drug interactions were robust in a multivariable logistic regression model. The odds of 90-day readmission for patients with one or more identified gene-x-drug interactions after adjustment for these covariates was attenuated by 10% (OR = 1.31, 1.08−1.59) (p = 0.006). Although the interaction between race and gene-x-drug interactions was not statistically significant, White patients were more likely to have a gene-x-drug interaction (35.2%) than Black/African-American patients (25.9%) who were not readmitted (p < 0.0001). These results highlight the major contribution of social determinants and medical complexity to risk for hospital readmission, and that these determinants may modify the effect of gene-x-drug interactions on rehospitalization risk.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline Aspecto: Determinantes_sociais_saude / Equity_inequality Idioma: En Revista: J Pers Med Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline Aspecto: Determinantes_sociais_saude / Equity_inequality Idioma: En Revista: J Pers Med Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos