Electronic health record-enabled routine assessment of medication adherence after solid organ transplantation: the time is now.

Medication nonadherence after solid organ transplantation is recognized as an important impediment to long-term graft survival. Yet, assessment of adherence is often not part of routine care. In this Personal Viewpoint, we call for the transplant community to consider implementing a systematic process to screen and assess medication adherence. We believe acceptable tools are available to support integrating adherence assessments into the electronic health record. Creating a standard assessment can be done efficiently and cost-effectively if we come together as a community. More importantly, such monitoring can improve outcomes and strengthen provider-patient relationships. We further discuss the practical challenges and potential rebuttals to our position.

Medication Safety Events After Acute Myocardial Infarction Among Veterans Treated at VA Versus Non-VA Hospitals.

INTRODUCTION: Fragmentation of health care across systems can contribute to mistakes in prescribing and filling medications among patients treated for myocardial infarction (MI). We sought to compare omissions, duplications, and delays in outpatient medications used for secondary prevention among veterans treated for MI at Veterans Affairs (VA) versus non-VA hospitals. METHODS: We utilized national VA and Centers for Medicare and Medicaid Services data (2012-2018) to identify veterans 65 years or older hospitalized for MI and measured the use of outpatient medications for secondary prevention in the 30 days after MI among those treated at VA versus non-VA hospitals. RESULTS: A total of 118,456 veterans experiencing MI were included; of which 102,209 were hospitalized at non-VA hospitals. An omission in any medication class occurred more frequently among veterans treated at non-VA versus VA hospitals (82.8% vs 67.8%, P < 0.001). In multivariable modeling, the odds of omissions in any medication class were higher among those treated at non-VA versus VA hospitals (odds ratio: 3.04; 95% CI: 2.88-3.20). Duplications occurred more frequently in veterans treated at non-VA versus VA hospitals: 1.9% versus 1.6% had 1 or more for non-VA versus VA hospitals ( P < 0.001). Veterans treated at non-VA hospitals were more likely to have delays of 3 days or more in prescription fills after hospital discharge (88.4% vs 70.6% across all classes, P < 0.001). CONCLUSIONS: Omissions, duplications, and delays in outpatient prescribing of secondary prevention medications were more common among 118,456 veterans treated at non-VA versus VA hospitals for MI. Interventions aimed at improving care transitions and optimizing medication use among veterans treated at non-VA hospitals should be implemented.

Defining the Need for Causal Inference to Understand the Impact of Social Determinants of Health: A Primer on Behalf of the Consortium for the Holistic Assessment of Risk in Transplantation (CHART).

Objective: This study aims to introduce key concepts and methods that inform the design of studies that seek to quantify the causal effect of social determinants of health (SDOH) on access to and outcomes following organ transplant. Background: The causal pathways between SDOH and transplant outcomes are poorly understood. This is partially due to the unstandardized and incomplete capture of the complex interactions between patients, their neighborhood environments, the tertiary care system, and structural factors that impact access and outcomes. Designing studies to quantify the causal impact of these factors on transplant access and outcomes requires an understanding of the fundamental concepts of causal inference. Methods: We present an overview of fundamental concepts in causal inference, including the potential outcomes framework and direct acyclic graphs. We discuss how to conceptualize SDOH in a causal framework and provide applied examples to illustrate how bias is introduced. Results: There is a need for direct measures of SDOH, increased measurement of latent and mediating variables, and multi-level frameworks for research that examine health inequities across multiple health systems to generalize results. We illustrate that biases can arise due to socioeconomic status, race/ethnicity, and incongruencies in language between the patient and clinician. Conclusions: Progress towards an equitable transplant system requires establishing causal pathways between psychosocial risk factors, access, and outcomes. This is predicated on accurate and precise quantification of social risk, best facilitated by improved organization of health system data and multicenter efforts to collect and learn from it in ways relevant to specialties and service lines.

Impact of Race and Ethnicity on Severe Hypoglycemia Associated with Sulfonylurea Use for Type 2 Diabetes among Veterans.

Sulfonylureas are associated with hypoglycemia. Whether a racial/ethnic disparity in this safety outcome exists is unknown. We sought to assess the impact of race/ethnicity on severe hypoglycemia associated with sulfonylurea use for type 2 diabetes (T2D). Using Veterans Affairs and Medicare data, Veterans initially receiving metformin monotherapy for T2D between 2004 and 2006 were identified. Sulfonylurea use (either alone or via the addition of a prescription for a sulfonylurea to metformin) was captured and compared to remaining on metformin alone during the follow-up period (2007-2016). Hazard ratios (HR) and 95% confidence intervals (CI) from longitudinal competing risk Cox models were used to measure the association between sulfonylurea use and severe hypoglycemia defined as hospitalization for hypoglycemia. A total of 113,668 Veterans with T2D were included. A higher risk of severe hypoglycemia was associated with the receipt of sulfonylurea prescriptions versus remaining on metformin alone across all groups. The effect was largest among Hispanic Veterans (HR: 7.59, 95%CI:4.32-13.33), followed by Veterans in the other race/ethnicity cohort (HR: 4.57, 95%CI:2.50-8.36) and Non-Hispanic Black Veterans (HR: 3.67, 95%CI:2.78-4.85). The effect was smallest among Non-Hispanic White Veterans (HR: 3.11, 95%CI:2.77-3.48). In conclusion, a higher risk of severe hypoglycemia associated with sulfonylurea prescriptions was observed across all analyses. The relationship was most pronounced for Hispanic Veterans, who had nearly 8 times the risk of severe hypoglycemia with sulfonylureas versus remaining on metformin alone.

Sulfonylureas as second line therapy for type 2 diabetes among veterans: Results from a National Longitudinal Cohort Study.

AIMS: To assess if switching to or adding sulfonylureas increases major adverse cardiovascular events (MACE) or severe hypoglycemia versus remaining on metformin alone. MATERIALS AND METHODS: This was a retrospective, longitudinal cohort utilizing United States Veterans Health Administration and Medicare data. Veterans with type 2 diabetes on metformin monotherapy between 2004 and 2006 were identified. Follow-up occurred through 2016. Those treated with either metformin plus a second-generation sulfonylurea (N = 45,305) or converted from metformin to a second-generation sulfonylurea (N = 2813) were compared to those receiving metformin monotherapy (N = 65,550). Hazard ratios (HR) and 95%CI from longitudinal competing risk Cox models were used to measure the association between sulfonylureas and outcomes. RESULTS: Switching to or adding a sulfonylurea to metformin was associated with 3 times the risk of severe hypoglycemia versus metformin monotherapy (HR:3.44, 95% CI: 3.06,3.85 and HR: 3.08, 95% CI: 2.77,3.42, respectively). Switching to or adding a sulfonylurea to metformin was associated with a 7-19% higher risk of MACE versus metformin monotherapy (HR: 1.07, 95% CI: 1.00,1.14 and HR: 1.19, 95% CI: 1.13,1.25, respectively). CONCLUSIONS: Switching to and adding second-generation sulfonylureas was associated an increase in severe hypoglycemia and MACE versus remaining on metformin alone. In an era where guidelines recommend diabetes therapies based on compelling indications, safety outcomes should be a key consideration when selecting therapy.

Multilevel Intervention to Improve Racial Equity in Access to Kidney Transplant.

BACKGROUND: African Americans (AAs) have reduced access to kidney transplant (KTX). Our center undertook a multilevel quality improvement endeavor to address KTX access barriers, focused on vulnerable populations. This program included dialysis center patient/staff education, embedding telehealth services across South Carolina, partnering with community providers to facilitate testing/procedures, and increased use of high-risk donors. STUDY DESIGN: This was a time series analysis from 2017 to 2021 using autoregression to assess trends in equitable access to KTX for AAs. Equity was measured using a modified version of the Kidney Transplant Equity Index (KTEI), defined as the proportion of AAs in South Carolina with end-stage kidney disease (ESKD) vs the proportion of AAs initiating evaluation, completing evaluation, waitlisting, and undergoing KTX. A KTEI of 1.00 is considered complete equity; a KTEI of <1.00 is indicative of disparity. RESULTS: From January 2017 to September 2021, 11,487 ESKD patients (64.7% AA) were referred, 6,748 initiated an evaluation (62.8% AA), 4,109 completed evaluation (59.7% AA), 2,762 were waitlisted (60.0% AA), and 1,229 underwent KTX (55.3% AA). The KTEI for KTX demonstrated significant improvements in equity. The KTEI for initiated evaluations was 0.89 in 2017, improving to 1.00 in 2021 (p = 0.0045). Completed evaluation KTEI improved from 0.85 to 0.95 (p = 0.0230), while waitlist addition KTEI improved from 0.83 to 0.96 (p = 0.0072). The KTEI for KTX also improved from 0.76 to 0.91, which did not reach statistical significance (p = 0.0657). CONCLUSIONS: A multilevel intervention focused on improving access to vulnerable populations was significantly associated with reduced disparities for AAs.

Opioid Use Patterns in a Statewide Adult Medicaid Population Undergoing Elective Lumbar Spine Surgery.

STUDY DESIGN: Retrospective administrative database review. OBJECTIVE: Analyze patterns of opioid use in patients undergoing lumbar surgery and determine associated risk factors in a Medicaid population. SUMMARY OF BACKGROUND DATA: Opioid use in patients undergoing surgery for degenerative lumbar spine conditions is prevalent and impacts outcomes. There is limited information defining the scope of this problem in Medicaid patients. MATERIALS AND METHODS: Longitudinal cohort study of adult South Carolina (SC) Medicaid patients undergoing lumbar surgery from 2014 to 2017. All patients had continuous SC Medicaid coverage for 15 consecutive months, including six months before and nine months following surgery. The primary outcome was a longitudinal assessment of postoperative opioid use to determine trajectories and group-based membership using latent modeling. Univariate and multivariable modeling was conducted to assess risk factors for group-based trajectory modeling and chronic opioid use (COU). RESULTS: A total of 1455 surgeries met inclusion criteria. Group-based trajectory model demonstrated patients fit into five groups; very low use (23.4%), rapid wean following surgery (18.8%), increasing use following surgery (12.9%), slow wean following surgery (12.6%) and sustained high use (32.2%). Variables predicting membership in high opioid use included preoperative opioid use, younger age, longer length of stay, concomitant medications, and readmissions. More than three quarter of patients were deemed COUs (76.4%). On bivariate analysis, patients with degenerative disk disease were more likely to be COUs (24.8% vs. 18.6%; P =0.0168), more likely to take opioids before surgery (88.5% vs. 61.9%; P <0.001) and received higher amounts of opioids during the 30 days following surgery (mean morphine milligram equivalents 59.6 vs. 25.1; P <0.001). CONCLUSIONS: Most SC Medicaid patients undergoing lumbar elective lumbar spine surgery were using opioids preoperatively and continued long-term use postoperatively at a higher rate than previously reported databases. Preoperative and perioperative intake, degenerative disk disease, multiple prescribers, depression, and concomitant medications were significant risk factors.

Surgical prescription opioid trajectories among state Medicaid enrollees.

OBJECTIVE: The objective of this study was to evaluate opioid use trajectories among a sample of 10,138 Medicaid patients receiving one of six index surgeries: lumbar spine, total knee arthroplasty, cholecystectomy, appendectomy, colon resection, and tonsillectomy. DESIGN: Retrospective cohort. SETTING: Administrative claims data. PATIENTS AND PARTICIPANTS: Patients, aged 13 years and older, with 15-month continuous Medicaid eligibility surrounding index surgery, were selected from single-state Medicaid medical and pharmacy claims data for surgeries performed between 2014 and 2017. INTERVENTIONS: None. MAIN OUTCOME MEASURES: Baseline comorbidities and presurgery opioid use were assessed in the 6 months prior to admission, and patients' opioid use was followed for 9 months post-discharge. Generalized linear model with log link and Poisson distribution was used to determine risk of chronic opioid use for all risk factors. Group-based trajectory models identified groups of patients with similar opioid use trajectories over the 15-month study period. RESULTS: More than one in three (37.7 percent) patients were post-surgery chronic opioid users, defined as the dichotomous outcome of filling an opioid prescription 90 or more days after surgery. Key variables associated with chronic post-surgery opioid use include presurgery opioid use, 30-day post-surgery opioid use, and comorbidities. Latent trajectory modeling grouped patients into six distinct opioid use trajectories. Associates of trajectory group membership are reported. CONCLUSIONS: Findings support the importance of surgeons setting realistic patient expectations for post-surgical opioid use, as well as the importance of coordination of post-surgical care among patients failing to fully taper off opioids within 1-3 months of surgery.

Early Assessment of National Kidney Allocation Policy Change.

BACKGROUND: The new kidney allocation changes with elimination of donor service areas (DSAs) and Organ Procurement and Transplantation Network regions were initiated to improve equity in organ allocation. The aim of this evaluation was to determine the operational, financial, and recipient-related effect of the new allocation system on a large rural transplantation program. STUDY DESIGN: A retrospective, cross-sectional analysis of organ offers, allograft outcomes, and attributed costs in a comparative time cohort, before (December 16, 2020 to March 14, 2021) and after (March 15, 2021 to June 13, 2021) the allocation change was performed. Outcomes were limited to adult, solitary, deceased donor kidney transplantations. RESULTS: We received 198,881 organ offers from 3,886 organ donors at our transplantation center from December 16, 2020 to June 31, 2021: 87,643 (1,792 organ donors) before the change and 111,238 (2094 organ donors) after the change, for a difference of +23,595 more offers (+302 organ donors). This resulted in 6.5 more organs transplanted vs a predicted loss of 4.9 per month. Local organ offers dropped from 70% to 23%. There was a statistically significantly increase in donor terminal serum creatinine (1.2 ± 0.86 mg/dL vs 2.2 ± 2.3 mg/dL, p < 0.001), kidney donor profile index (KDPI) (39 ± 20 vs 48 ± 22, p = 0.017), cold ischemia time (16 ± 7 hours vs 21 ± 6 hours, p < 0.001), and delayed graft function rates (23% vs 40%, p = 0.020). CONCLUSION: The new kidney allocation policy has led to an increase in KDPI of donors with longer cold ischemia time, leading to higher delayed graft function rates. This has resulted in increasing logistical and financial burdens on the system. Implementing large-scale changes in allocation based predominantly on predictive modeling needs to be intensely reassessed during a longer follow up.

Surgical Outcomes Improvement and Health Inequity in a Regional Quality Collaborative.

BACKGROUND: Surgical quality improvement initiatives may impact sociodemographic groups differentially. The objective of this analysis was to assess the trajectory of surgical morbidity by race and age over time within a Regional Collaborative Quality Initiative. STUDY DESIGN: Adults undergoing eligible general surgery procedures in South Carolina Surgical Quality Collaborative hospitals were analyzed for the presence of at least 1 of 22 morbidities between August 2015 and February 2020. Surgery-level multivariable logistic regression assessed the racial differences in morbidity over time, stratified by age group (18 to 64 years, 65 years and older), and adjusting for potential patient- and surgical-level confounders. RESULTS: A total of 30,761 general surgery cases were analyzed, of which 28.4% were performed in Black patients. Mean morbidity rates were higher for Black patients than non-Black patients (8.5% vs 6.0%, p < 0.0001). After controlling for race and other confounders, a significant decrease in monthly mean morbidity through time was observed in each age group (odds ratio [95% CI]: age 18 to 64 years, 0.986 [0.981 to 0.990]; age 65 years and older, 0.991 [0.986 to 0.995]). Comparing morbidity rates from the first 4 months of the collaborative to the last 4 months reveals older Black patients had an absolute decrease in morbidity of 6.2% compared with 3.6% for older non-Black patients. Younger Black patients had an absolute decrease in morbidity of 4.7% compared with a 3.0% decrease for younger non-Black patients. CONCLUSIONS: Black patients had higher morbidity rates than non-Black patients even when controlling for confounders. The reasons for these disparities are not apparent. Morbidity improved over time in all patients with older Black patients seeing a larger absolute decrease in morbidity.

The impact of race on metabolic, graft, and patient outcomes after pancreas transplantation.

BACKGROUND: Racial disparities following pancreas transplantation (PTX) are poorly defined. METHODS: This was a large-scale, single-center, longitudinal cohort study including adult PTX recipients. Patients were grouped by race to allow for comparisons. RESULTS: 287 PTX recipients were included; 125 (43.5%) were African American (AA). At baseline, AAs had a significantly higher proportion of T2DM (19.4% vs. 5.7%, p = 0.001), were younger, and more likely to be female. AAs experienced significantly higher rates of pancreatic leaks and post-operative bleeding. PTX rejection was comparable, however, kidney rejection tended to be higher among AA SPKs. Long-term mean HgbA1C levels were significantly higher among AAs (6.9% vs. 6.3%, p = 0.039). Patient and graft survival was comparable between groups, but early patient survival tended to be lower in AAs. CONCLUSIONS: This study demonstrated significant perioperative health disparities among AA PTX recipients, including poorer glycemic control and more early deaths, despite similar long-term patient and graft survival.

The Magnitude and Potential Causes of Sex Disparities in Statin Therapy in Veterans with Type 2 Diabetes: A 10-year Nationwide Longitudinal Cohort Study.

BACKGROUND: Past research has shown that women eligible for statin therapy are less likely than their male counterparts to receive any statin therapy or be prescribed a statin at the guideline-recommended intensity. We compared statin treatment in men and women veterans from a national cohort of older veterans with type 2 diabetes. METHODS: The Veterans Health Administration Corporate Data Warehouse and Centers for Medicare and Medicaid Services data were used to create a unique dataset and perform a longitudinal study of veterans with type 2 diabetes from 2007 to 2016. Mixed-effects logistic regression was used to model the association between the primary exposure (sex) and statin use. RESULTS: The study included 714,212 veterans with diabetes, including 9,608 women, with an overall mean age of 75.9 years. In the unadjusted model for any statin use, women veterans had a 14% significantly lower odds of having any statin use compared with men. After adjusting for all covariates, including markers of Veterans Administration care use (service-connected disability rating, Veterans Administration use, and primary care visits) that serve as proxies for access and mental health comorbidities (depression and psychiatric disorder), this disparity narrowed from 14% to 3% and was no longer statistically significant. In the model for high-intensity statin therapy (high-intensity vs. low or none), women were 10% less likely than men to use high-intensity statins in the base model that included only time and sex. After adjusting for all measured covariates, the direction of the association changed and women had 16% higher odds of high-intensity statin use compared with men (odds ratio, 1.16; 95% confidence interval, 1.03-1.31). CONCLUSIONS: Consistent with prior research, in the unadjusted analysis a significant sex disparity was observed in statin use, with lower rates observed in women. For the outcome of any statin use, after adjustment for covariates that included variables that are proxies for access as well as psychiatric and depression comorbidities, this disparity lost statistical significance and narrowed. In the high-intensity statin versus low or none model, the direction of the association changed after controlling for measured covariates and women had a 16% higher odds of high-intensity statin use compared with men. This study highlights a persistent health disparity in lipid-lowering therapy for women veterans. Additional research is needed to further elucidate the reasons for and develop interventions to mitigate this persistent sex disparity in cholesterol management for veterans with diabetes.

Significant hospitalization cost savings to the payer with a pharmacist-led mobile health intervention to improve medication safety in kidney transplant recipients.

This was an economic analysis of a 12-month, parallel arm, randomized controlled trial in adult kidney recipients 6 to 36 months posttransplant (NCT03247322). All participants received usual posttransplant care, while the intervention arm received supplemental clinical pharmacist-led medication therapy monitoring and management, via a smartphone-enabled mHealth app, integrated with risk-based televisits. Hospitalization charges were captured from the study institution accounts payable and non-study institution hospitalization charges were estimated using multiple imputation. Multivariable modeling was used to assess the impact of the intervention on charges. The intervention significantly reduced rates of hospitalization (1.08 per patient-year in the control arm vs 0.65 per patient-year in the intervention arm, p = .007). The control arm had estimated hospitalization costs of $870,468 vs $390,489 in the intervention arm. Modeling demonstrated a 49% lower hospitalization charge risk in the intervention arm (RR 0.51, 95% CI 0.28-0.91; p = .022). From a payer or societal perspective, the net estimated cost savings, after accounting for intervention delivery costs, was $368,839, with a return on investment (ROI) of $4.30 for every $1 spent. These results demonstrate that a mHealth-enabled, pharmacist-led intervention significantly reduced hospitalization costs for payers over a 12-month period and has a positive ROI.

Association of High Burden of End-stage Kidney Disease With Decreased Kidney Transplant Rates With the Updated US Kidney Allocation Policy.

Importance: The Organ Procurement and Transplantation Network (OPTN) approved changes to the US kidney allocation system in 2019. The potential effects of this policy change using transplant rates normalized to end-stage kidney disease (ESKD) incidence have not been investigated. Objective: To estimate how the OPTN kidney allocation policy will affect areas of the US currently demonstrating low rates of kidney transplant, when accounting for the regional burden of ESKD. Design, Setting, and Participants: This cross-sectional population-based economic evaluation analyzed access of patients with ESKD to kidney transplant in the US. Participants included patients with incident ESKD, those on the kidney transplant wait list, and those who received a kidney transplant. Data were collected from January 1 to December 31, 2017, and were analyzed in 2019. Main Outcomes and Measures: The probability of a patient with ESKD being placed on the transplant wait list or receiving a deceased donor kidney transplant. States and donor service areas (DSAs) were compared for gains and losses in rates of transplanted kidneys under the new allocation system. Transplant rates were normalized for ESKD burden. Results: A total of 122 659 patients had incident ESKD in the US in 2017 (58.2% men; mean [SD] age, 62.8 [15.1] years). The probability of a patient with ESKD receiving a deceased donor kidney transplant varied 3-fold across the US (from 6.36% in West Virginia to 18.68% in the District of Columbia). Modeling of the OPTN demonstrates that DSAs from New York (124%), Georgia (65%), and Illinois (56%) are estimated to experience the largest increases in deceased donor kidney allocation. Other than Georgia, these states have kidney transplant rates per incident ESKD cases above the mean (of 50 states plus the District of Columbia, New York is 16th and Illinois is 24th). In contrast, DSAs from Nevada (-74%), Ohio (-67%), and North Carolina (-61%)-each of which has a transplant rate per incident ESKD cases significantly below the mean-are estimated to experience the largest decreases in deceased donor allocation (of 50 states plus the District of Columbia, North Carolina is 34th, Ohio is 38th, and Nevada is 47th). Conclusions and Relevance: The new OPTN-approved kidney allocation policy may result in worsening geographic disparities in access to transplants when measured against the burden of ESKD within a particular region of the US.

Maintaining Equity and Access: Successful Implementation of a Virtual Kidney Transplantation Evaluation.

BACKGROUND: Maintaining access to kidney transplantation during a pandemic is a challenge, particularly for centers that serve a large rural and minority patient population with an additional burden of travel. The aim of this article was to describe our experience with the rollout and use of a virtual pretransplantation evaluation platform to facilitate ongoing transplant waitlisting during the early peak of the COVID-19 pandemic. STUDY DESIGN: This is a retrospective analysis of the process improvement project implemented to continue the evaluation of potential kidney transplantation candidates and ensure waitlist placement during the COVID-19 pandemic. Operational metrics include transplantation volume per month, referral volume per month, pretransplantation patients halted before completing an evaluation per month, evaluations completed per month, and patients waitlisted per month. RESULTS: Between April and September 2020, a total of 1,258 patients completed an evaluation. Two hundred and forty-seven patients were halted during this time period before completing a full evaluation. One hundred and fifty-two patients were presented at selection and 113 were placed on the waitlist. In addition, the number of patients in the active referral phase was able to be reduced by 46%. More evaluations were completed within the virtual platform (n = 930 vs n = 880), yielding similar additions to the waitlist in 2020 (n = 282) vs 2019 (n = 308) despite the COVID-19 pandemic. CONCLUSIONS: The virtual platform allowed continued maintenance of a large kidney transplantation program despite the inability to have in-person visits. The value of this platform will likely transform our approach to the pretransplantation process and provides an additional valuable method to improve patient equity and access to transplantation.

The impact of pretransplant opioid exposure on healthcare utilization and costs in kidney transplant.

STUDY OBJECTIVE: Opioid use has been associated with significant morbidity and mortality in the United States. Studies within kidney transplantation have also shown increased risk of mortality, graft loss, and complications in kidney transplant recipients who use opioids prior to transplant. The objective of this analysis was to identify if recent pretransplant opioid exposure would be an effective risk-stratifier for patients at risk for readmissions and readmission costs. Further, the objective was to see if a brief assessment of recent opioid use could predict chronic opioid use post-transplant." PATIENTS AND DESIGN: This study was a single-center, retrospective cohort analysis of adult renal transplant recipients between January 2010 and December 2016 assessing the impact of pretransplant opioid use on posttransplant readmissions at 1 year postsurgery, as well as it's ability to identify patients at risk of chronic opioid use post-transplant. Opioid use was identified using medication reconciliation or a national prescription database, and readmissions and normalized costs for hospitalizations were identified via the Vizient clinical database. MAIN RESULTS: Pretransplant opioid exposure occurred in 271 (24%) of 1129 patients transplanted during the study time period. There were no differences in index hospitalization length of stay or cost; however, patients with opioid exposure were significantly more likely to have been admitted within 1-year postsurgery (51 vs. 43%, p = 0.023), had more readmissions per patient (0.93 vs. 0.72, p = 0.010), and had higher normalized readmissions costs ($12,556 vs. $8344, p = 0.009). Patients with opioid exposure were also more likely to be admitted for readmissions, had more admissions per patient, and had higher readmission costs at 30 and 90 days postsurgery. There were no differences in preventability of readmissions between cohorts or in general causes of readmissions. A multivariable logistic regression demonstrated that being opioid experienced and having a history of diabetes mellitus were independently associated with readmissions at 1 year postsurgery. In addition, having opioid exposure at the time of transplant, a history of diabetes mellitus, and younger age were independently associated with chronic opioid use after transplant. CONCLUSION: This study demonstrated that recent exposure to opioids prior to kidney transplant was significantly and independently associated with increased readmissions and readmission costs at multiple timepoints up to 1 year posttransplant as well as chronic opioid use after transplant.It also demonstrated that a brief assessment of recent opioid use may be able to identify patients at risk for chronic opioid use. Because opioid use is associated with multiple diseases, it is important to continue to study the association of opioid use, and the potential for disease-modifying interactions, with various clinical outcomes.

Joint effect of race/ethnicity or location of residence and sex on low density lipoprotein-cholesterol among veterans with type 2 diabetes: a 10-year retrospective cohort study.

BACKGROUND: Cardiovascular (CV) disease is the leading cause of death among United States women. Rural residence and ethnic-minority status are individually associated with increased CV mortality. Managing dyslipidemia is important in the prevention of CV mortality. However, the impact of race/ethnicity and location of residence on sex differences in dyslipidemia management is not well understood. Therefore, we sought to understand the joint effects of race/ethnicity and location of residence on lipid management differences between veteran men and women with type 2 diabetes (T2D). METHODS: Veterans Health Administration and Centers for Medicare and Medicaid Services data were used to perform a longitudinal cohort study of veterans with T2D (2007-2016). Mixed effects logistic regression with a random intercept was used to model the association between sex and low-density lipoprotein (LDL) > 100 mg/dL and its interaction with race/ethnicity and location of residence after adjusting for all measured covariates. RESULTS: When female sex and rural location of residence were both present, they were associated with an antagonistic harmful effect on LDL. Similar antagonistic harmful effects on LDL were observed when the joint effect of female sex and several minority race/ethnicity groups were evaluated. After adjusting for measured covariates, the odds of LDL > 100 mg/dL were higher for urban women (OR = 2.66, 95%CI 2.48-2.85) and rural women (OR = 3.26, 95%CI 2.94-3.62), compared to urban men. The odds of LDL > 100 mg/dL was the highest among non-Hispanic Black (NHB) women (OR = 5.38, 95%CI 4.45-6.51) followed by non-Hispanic White (NHW) women (OR = 2.59, 95%CI 2.44-2.77), and Hispanic women (OR = 2.56, 95%CI 1.79-3.66). CONCLUSION: Antagonistic harmful effects on LDL were observed when both female sex and rural location of residence were present. These antagonistic effects on LDL were also present when evaluating the joint effect of female sex and several minority race/ethnicity groups. Disparities were most pronounced in NHB and rural women, who had 5.4 and 3.3 times the odds of elevated LDL versus NHW and urban men after adjusting for important covariates. These striking effect sizes in a population at high cardiovascular risk (i.e., older with T2D) suggest interventions aimed at improving lipid management are needed for individuals falling into one or more groups known to face health disparities.

An Evaluation of Statin Use Among Patients with Type 2 Diabetes at High Risk of Cardiovascular Events Across Multiple Health Care Systems.

BACKGROUND: Patients with more than one chronic condition often receive care from several providers and facilities, which may lead to fragmentation of care. Poor care coordination in dual health care system use has been associated with increased emergency department visits, hospitalizations, and costs. OBJECTIVE: Dual health care system use is increasing among veterans, and we sought to evaluate the effect of dual health care system use on statin treatment in veterans with type 2 diabetes at high risk of cardiovascular events, using varying degrees of Centers for Medicare & Medicaid Services (CMS) services. METHODS: This was a 10-year retrospective longitudinal cohort study of national clinical and administrative data that included 689,138 veterans with type 2 diabetes who were aged 65 years or older on January 1, 2006. Patients were followed from January 1, 2007, until December 31, 2016. Administrative and clinical data from the Veterans Health Administration's (VHA) Corporate Data Warehouse were merged with CMS inpatient, outpatient, and pharmacy data. Statin use was defined as any therapy and subcategorized as high versus low or moderate intensity per the American College of Cardiology/American Heart Association guidelines. Marginal generalized estimating equation-type models for longitudinal data were used to model the association between dual health care utilization status (< 50%, 50%-80%, and > 80% VHA utilization, with the first group serving as the reference group) and statin use after adjusting for measured covariates. RESULTS: The mean ages at baseline for each group were similar and ranged between 75.4 and 76.9 years. For the outcome of any statin use, the group with < 50% VHA utilization was significantly less likely to receive statin therapy compared with the group with > 80% VHA utilization (OR = 0.26, 95% CI = 0.26-0.26), while the group with 50%-80% VHA utilization was slightly more likely (OR = 1.05, 95% CI = 1.04-1.07). Similarly, for the high-intensity versus low-/moderate-intensity or no statins outcome, the group with < 50% VHA utilization was significantly less likely to receive a high-intensity statin compared with the group with > 80% VHA utilization (OR = 0.56, 95% CI = 0.55-0.57), while the group with 50%-80% VHA utilization was only slightly less likely (OR = 0.95, 95% CI =0.94-0.96). CONCLUSIONS: Among veterans with diabetes at high risk of cardiovascular events, dual health care system utilization status appeared to affect statin use. We observed lower odds for any statin use and high-intensity statin therapy among the cohort with the lowest degree of VHA utilization (i.e., < 50%). Interventions to increase statin use among veterans at high risk of cardiovascular events with lower degrees of VHA utilization should be explored. DISCLOSURES: This study was supported by a grant funded by the Department of Veterans Affairs' Health Services Research and Development Service and was undertaken at the Health Equity and Rural Outreach Center (HEROIC) at Ralph H. Johnson Veteran Affairs Medical Center, Charleston, SC. The authors report no potential conflicts of interest relevant to this article. This article represents the views of the authors and not those of the Medical University of South Carolina or Veteran Health Administration.

Impact of Race and Location of Residence on Statin Treatment Among Veterans With Type 2 Diabetes Mellitus.

Rural residence and ethnic-minority status are individually associated with increased cardiovascular (CV) mortality. Statin therapy is known to reduce the risk of cardiovascular mortality. Although ethnic disparities in statin treatment exist, the joint impact of urban/rural residence and race/ethnicity on statin prescribing is unclear. Veterans Health Administration (VHA) and Centers for Medicare and Medicaid data were used to perform a longitudinal study of Veterans with Type 2 diabetes mellitus from 2007 to 2016. Mixed effects logistic regression with a random intercept was used to model the longitudinal association between the primary exposure (race/ethnicity and residence) and statin prescribing. After adjusting for covariates, non-Hispanic White (NHW)-Rural Veterans were 7% (odds ratio [OR] = 1.07; confidence interval [CI] 1.05 to 1.08), non-Hispanic Black (NHB)-Rural Veterans were 4% (OR 1.04; CI 1.00 to 1.08), and Hispanic-Urban Veterans were 20% (OR 1.20; CI 1.17 to 1.23) more likely to be prescribed statins versus NHW-Urban Veterans; whereas, NHB-Urban Veterans were 14% (OR 0.86; CI 0.85 to 0.55) and Hispanic-Rural Veterans were 10% (OR 0.90; CI 0.85 to 0.96) less likely. When disability and dual use were removed from the full model, compared with NHW-Urban, the odds of statin prescribing in NHW-Rural Veterans remained unchanged (OR 1.06; CI 1.04 to 1.07) whereas the odds of statin prescribing in all other groups were higher. In conclusion, NHB-Urban and Hispanic-Rural Veterans had lower odds of statin prescribing versus NHW-Urban Veterans; whereas NHW-Rural, NHB-Rural and Hispanic-Urban Veterans had higher odds. The findings in ethnic-minorities changed when we accounted for markers of VHA care (i.e., disability, dual use) showing that these individuals are more likely to receive statins when they receive more VHA care.

Preliminary assessment of safety and adherence to a once-daily immunosuppression regimen in kidney transplantation: Results of a randomized controlled pilot study.

Medication non-adherence is common after transplant and a major contributor to graft loss. The objective of this pilot study was to obtain preliminary safety and adherence data of a complete once-daily immunosuppression regimen of Extended-release-tacrolimus (LCP-tac), everolimus, and prednisone vs LCP-tac, mycophenolate Twice daily (BID), and prednisone through a randomized controlled pilot study of 40 patients (20 in each arm). At 3 ± 2 months post-transplant, patients were randomized to receive LCP-tac and everolimus once daily or LCP-tac and mycophenolate BID (control arm) for 6 months; 80 met eligibility, and 40 were randomized. Mean age was 51 ± 14 years, 33% were female, 45% African American, and 55% had a Calculated panel reactive antibody (cPRA) >20%. Both regimens were well-tolerated, and medication side effect burden tended to be less severe in the intervention group. Self-reported high medication adherence decreased in the control arm from baseline to 6 months (80%-59%), while remaining the same in the intervention arm throughout the study (45%-47%). For safety assessment, there was no rejection, graft loss, or death in either arm. These results provide preliminary evidence of the safety of a novel once-daily immunosuppression regimen. The impact of this once-daily regimen on medication adherence requires a larger long-term study.