Effects of Social Determinants and Pharmacogenetic Medication Interactions on 90-Day Hospital Readmissions.

Context: The present study builds on our prior work that demonstrated an association between pharmacogenetic interactions and 90-day readmission. Objective: Evaluate aggregate contribution of social determinants, comorbidity, and gene-x-drug interactions to moderate 90-day hospital readmission. Study Design and Analysis: Non-concurrent cohort study; Multivariable logistic regression Setting: Hospital/integrated healthcare delivery system in northern Illinois Population Studied: 19,999 adults tracked from 2010 through 2020 who underwent testing with a 13-gene pharmacogenetic panel Outcome Measure: 90-day hospital readmission (primary outcome) Results: 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). Conclusions: 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.

Effect Modification by Social Determinants of Pharmacogenetic Medication Interactions on 90-Day Hospital Readmissions within an Integrated U.S. Healthcare System.

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.

The Contribution of Pharmacogenetic Drug Interactions to 90-Day Hospital Readmissions: Preliminary Results from a Real-World Healthcare System.

Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines exist for many medications commonly prescribed prior to hospital discharge, yet there are limited data regarding the contribution of gene-x-drug interactions to hospital readmissions. The present study evaluated the relationship between prescription of CPIC medications prescribed within 30 days of hospital admission and 90-day hospital readmission from 2010 to 2020 in a study population (N = 10,104) who underwent sequencing with a 14-gene pharmacogenetic panel. The presence of at least one pharmacogenetic indicator for a medication prescribed within 30 days of hospital admission was considered a gene-x-drug interaction. Multivariable logistic regression analyzed the association between one or more gene-x-drug interactions with 90-day readmission. There were 2211/2354 (93.9%) admitted patients who were prescribed at least one CPIC medication. Univariate analyses indicated that the presence of at least one identified gene-x-drug interaction increased the risk of 90-day readmission by more than 40% (OR = 1.42, 95% confidence interval (CI) 1.09-1.84) (p = 0.01). A multivariable model adjusting for age, race, sex, employment status, body mass index, and medical conditions slightly attenuated the effect (OR = 1.32, 95% CI 1.02-1.73) (p = 0.04). Our results suggest that the presence of one or more CPIC gene-x-drug interactions increases the risk of 90-day hospital readmission, even after adjustment for demographic and clinical risk factors.

Costs Associated With Imaging Surveillance After Treatment for Head and Neck Cancer.

Importance: The National Comprehensive Cancer Network recommends imaging within 6 months after treatment for head and neck cancer (HNC). Further imaging is recommended only if the patient has symptoms or abnormal findings on physical examination. However, in many instances, asymptomatic patients continue to have imaging evaluations. Objectives: To assess practice patterns in surveillance imaging in patients with HNC and evaluate the costs associated with these imaging practices. Design, Setting, and Participants: This single-institution retrospective economic evaluation study screened 435 patients to identify patients newly diagnosed with head and neck mucosal and salivary gland malignant tumors between January 1, 2010, and December 31, 2016. Data analyses were performed from October 25, 2018, to November 24, 2020. Exposure: Imaging practice patterns. Main Outcomes and Measures: Number and costs of imaging studies during the surveillance period for all patients, patients who remained disease free, and patients who developed recurrence. Results: A total of 136 patients (mean [SD] age at diagnosis, 62 [14] years; 84 [61.8%] male; 106 [77.9%] White) with HNC were included in the study. The oropharynx was the most common subsite (64 [47.1%]), most HNCs were stage IVA (62 [45.6%]), and most patients received definitive radiation-based treatment (71 [52.2%]). During the median surveillance period of 3.2 years (range, 0.3-6.8 years), a mean (SD) of 14 (10) imaging studies were performed for all patients, with a mean (SD) total cost of $36 800 ($24 500). In patients who remained disease free, a mean (SD) of 13 (10) imaging studies were performed during the surveillance period, with a mean (SD) total cost of $35 000 ($21 700). Patients who lacked symptoms had a mean (SD) of 4 (3) studies performed per year, resulting in a mean cost of $9600 ($5900) per year. Patients who developed recurrence had more studies per year of follow-up (mean difference, 5.0; 95% CI, 3.4-6.6) and higher associated mean costs (mean difference, $10 600; 95% CI, $6100-$15 000) than patients who remained disease free. Conclusions and Relevance: In this economic evaluation study, many patients treated for HNCs received imaging studies beyond what is recommended by National Comprehensive Cancer Network guidelines. These findings suggest that the cost burden of imaging in the asymptomatic patient needs to be considered against the value obtained from routine imaging in this current health care environment.

Impact of Statin Intake on Kidney Stone Formation.

OBJECTIVE: To determine whether statin intake affects nephrolithiasis risk, and whether higher lipid levels correlate with stone risk. Dyslipidemia is a known independent risk factor for urolithiasis, and emerging evidence suggests common biological pathways. Previous work has suggested that statins protect against new stone formation, but these findings have not been verified by other investigators. METHODS: We queried our Institution's Electronic Data Warehouse for all patients who were newly diagnosed with hyperlipidemia between 2009 and 2011, and had never taken a statin drug. These patients' clinical outcomes were followed until 2015, to assess whether they had been newly prescribed statins and whether they had developed symptomatic urolithiasis. Patient demographics, stone risk factors, prescription data, and serum lipid values were collected. RESULTS: A total of 101,259 patients met inclusion criteria, 47.8% of whom received a statin prescription during the study period. Patients prescribed statins were significantly older, had a greater likelihood of osteoporosis, hemiplegia, immobility, and more likely to take a thiazide diuretic. Patients without a history of urolithiasis who were started on statin therapy were significantly less likely to develop new stones than patients not taking statins. This protective effect was even greater in patients with a history of stone disease. Lipid parameters (low-density lipoprotein, triglyceride, cholesterol) were lower in the statin-treated group, suggesting overall compliance with these medications. CONCLUSION: Our data confirm previous work that statins protect against urinary stone formation; however, the underlying mechanism seems to be distinct from statins' lipid-lowering effect.

The effect of contralateral prophylactic mastectomy on breast-related charges: A 5-year analysis.

BACKGROUND AND OBJECTIVES: The purpose of this study was to determine charges following unilateral mastectomy (UM) and bilateral mastectomy (BM) for patients with unilateral breast cancer (UBC). We hypothesized that BM may be associated with fewer charges over time. METHODS: A retrospective review was conducted of patients with UBC treated between 2006 and 2010 with UM and BM in a large healthcare system. Institutional billing data were investigated for 5 years postoperatively to calculate the immediate and subsequent charges of all inpatient and outpatient breast-related care associated with the initial diagnosis for a subset of patients identified using propensity score matching method. RESULTS: A subset of matched patients (n = 320) undergoing UM (n = 160) or BM (n = 160) were included in this analysis. At 1 year, there was a trend toward lower total charges following UM as compared with BM (median, $125 230 vs $138 467; P = .6075). However, during years 2 to 5, total charges were significantly higher following UM vs BM ($22 128 vs $13 478; P = .0116). CONCLUSIONS: While initially higher, overall charges for BM are lower than UM between 2 and 5 years out from surgery. Further study is necessary to determine if this trend is sustained over the long term. These data can inform patient decision making regarding mastectomy for their breast cancer.