Association of deployment characteristics and exposures with persistent ill health among 1990-1991 Gulf War veterans in the VA Million Veteran Program.

BACKGROUND: Veterans of the 1990-1991 Gulf War have experienced excess health problems, most prominently the multisymptom condition Gulf War illness (GWI). The Department of Veterans Affairs (VA) Cooperative Studies Program #2006 "Genomics of Gulf War Illness in Veterans" project was established to address important questions concerning pathobiological and genetic aspects of GWI. The current study evaluated patterns of chronic ill health/GWI in the VA Million Veteran Program (MVP) Gulf War veteran cohort in relation to wartime exposures and key features of deployment, 27-30 years after Gulf War service. METHODS: MVP participants who served in the 1990-1991 Gulf War completed the MVP Gulf War Era Survey in 2018-2020. Survey responses provided detailed information on veterans' health, Gulf War exposures, and deployment time periods and locations. Analyses determined associations of three defined GWI/ill health outcomes with Gulf War deployment characteristics and exposures. RESULTS: The final cohort included 14,103 veterans; demographic and military characteristics of the sample were similar to the full population of U.S. 1990-1991 Gulf War veterans. Overall, a substantial number of veterans experienced chronic ill health, as indicated by three defined outcomes: 49% reported their health as fair or poor, 31% met Centers for Disease Control and Prevention criteria for severe GWI, and 20% had been diagnosed with GWI by a healthcare provider. Health outcomes varied consistently with veterans' demographic and military characteristics, and with exposures during deployment. All outcomes were most prevalent among youngest veterans (< 50 years), Army and Marine Corps veterans, enlisted personnel (vs. officers), veterans located in Iraq and/or Kuwait for at least 7 days, and veterans who remained in theater from January/February 1991 through the summer of 1991. In multivariable models, GWI/ill health was most strongly associated with three exposures: chemical/biological warfare agents, taking pyridostigmine bromide pills, and use of skin pesticides. CONCLUSIONS: Results from this large cohort indicate that GWI/chronic ill health continues to affect a large proportion of Gulf War veterans in patterns associated with 1990-1991 Gulf War deployment and exposures. Findings establish a foundation for comprehensive evaluation of genetic factors and deployment exposures in relation to GWI risk and pathobiology.

Risk and incidence of head and neck cancers in veterans living with HIV and matched HIV-negative veterans.

BACKGROUND: Persons living with HIV/AIDS have a higher incidence of virus-related and tobacco/alcohol-related cancers. This study is the first to estimate the effect of HIV versus HIV-negative veterans on the risk of head and neck squamous cell carcinoma incidence in a large retrospective cohort study. METHODS: The authors constructed a retrospective cohort study using patient data from 1999 to 2016 from the National Veterans Administration Corporate Data Warehouse and the VA Central Cancer Registry. This cohort study included 45,052 veterans living with HIV/AIDS and 162,486 HIV-negative patients matched by age, sex, and index visit (i.e., HIV diagnosis date or clinic visit date). The age-standardized incidence rates and estimated adjusted hazard ratios were calculated with a Cox proportional hazards regression for oropharyngeal and nonoropharyngeal head and neck cancer squamous cell carcinoma (HNSCC). The authors also abstracted human papillomavirus (HPV) status from oropharyngeal HNSCC diagnosed after 2010. RESULTS: Veterans living with HIV/AIDS (VLWH) have 1.71 (95% confidence interval [CI], 1.36, 2.14) times the risk of oropharyngeal cancer and 2.06 (95% CI, 1.76, 2.42) times the hazard of nonoropharyngeal cancer compared with HIV-negative veterans. VLWH with oropharyngeal squamous cell carcinoma (OPSCC) were more likely to be HPV-positive (N = 30 [81.1%]) than the HIV-negative veterans with OPSCC (N = 50 [67.6%]), although this difference was not significant (p = .135). For nonoropharyngeal cancer, the increased risk of oral cavity cancer among VLWH drove the increased risk. CONCLUSIONS: The study results suggest that HIV may play a role in virally mediated and nonvirally mediated HNSCC. As the HIV prevalence rises in the United States due to better survival and the incidence of HPV-positive oropharyngeal HNSCC increases, the interaction between HPV and HIV becomes increasingly relevant.

Association between frequency of primary care provider visits and evidence-based statin prescribing and statin adherence: Findings from the Veterans Affairs system.

BACKGROUND: Statin use remains suboptimal in patients with atherosclerotic cardiovascular disease (ASCVD). We assessed if the frequency of visits with primary care providers (PCPs) is associated with higher use of evidence-based statin prescriptions and adherence among patients with ASCVD. METHODS: We identified patients with ASCVD aged ≥18 years receiving care in 130 facilities and associated community-based outpatient clinics in the entire Veterans Affairs Health Care System between October 1, 2013 and September 30, 2014. Patients were divided into frequent PCP visitors (annual PCP visits ≥ median number of PCP visits for the entire cohort) and infrequent PCP visitors (annual PCP visits < median number of patient visits). We assessed any- and high-intensity statin prescription as well as statin adherence which was defined by proportion of days covered (PDC). RESULTS: We included 1,249,061 patients with ASCVD (mean age was 71.9 years; 98.0% male). Median number of annual PCP visits was 3. Approximately 80.1% patients were on statins with 23.8% on high-intensity statins. Mean PDC was 0.715 ±â€¯0.336 with 58.3% patients with PDC ≥0.8. Frequent PCP visitors had higher frequency of statin use (82.2% vs 77.4%), high-intensity statin use (26.4% vs 20.3%), and statin adherence (mean PDC 0.73 vs 0.68; P < .01) compared to infrequent PCP visitors. After adjusting for covariates, frequent PCP visits was associated with greater odds of being on any statin, high intensity statin, and higher statin adherence. CONCLUSION: Frequent visits with PCPs is associated with a higher likelihood of any statin use, high intensity statin use, and statin adherence. Further research endeavors are needed to understand the reasons behind these associations.

Statin Prescription Rates, Adherence, and Associated Clinical Outcomes Among Women with PAD and ICVD.

PURPOSE: This study sought to investigate gender-based disparities in statin prescription rates and adherence among patients with peripheral arterial disease (PAD) and ischemic cerebrovascular disease (ICVD). METHODS: We identified patients with PAD or ICVD seeking primary care between 2013 and 2014 in the VA healthcare system. We assessed any statin use, high-intensity statin (HIS) use, and statin adherence among women with PAD or ICVD compared with men. We also compared proportion of days covered (PDC) as a measure of statin adherence; PDC ≥ 0.8 deemed a patient statin adherent. Association between statin use (or adherence) and odds of death or myocardial infarction (MI) at 12-month follow-up was also ascertained. RESULTS: Our analyses included 192,219 males and 3188 females with PAD and 331,352 males and 10,490 females with ICVD. Women with PAD had lower prescription rates of any statin (68.5% vs. 78.7%, OR 0.68, 95% confidence interval (CI) 0.62-0.75), HIS (21.1% vs. 23.7%, OR 0.88, 95% CI 0.79-0.97), and lower statin adherence (PDC ≥ 0.8: 34.6% vs. 45.5%, OR 0.75, 95% CI 0.69-0.82) compared with men. Similar disparities were seen in ICVD patients. Among female patients with PAD or ICVD, statin adherence was associated with lower odds of MI (OR 0.76, 95% CI 0.59-0.98), while use of any statin (OR 0.71, 95% CI 0.56-0.91) and HIS (OR 0.68, 95% CI 0.48-0.97) was associated with lower odds of death at 12 months. CONCLUSIONS: Women with PAD or ICVD had lower odds of receiving any statins, HIS, or being statin adherent. Targeted clinician- and patient-level interventions are needed to study and address these disparities among patients with PAD and ICVD.

Premature Coronary Heart Disease in South Asians: Burden and Determinants.

PURPOSE OF REVIEW: While the burden of cardiovascular disease (CVD) is on the decline globally, it is on the rise among South Asians. South Asians are also believed to present early with coronary artery disease (CAD) compared with other ethnicities. RECENT FINDINGS: South Asians have demonstrated a higher burden of premature CAD (PCAD) compared with other ethnicities. These findings are not limited to non-immigrant South Asians but have also been found in immigrant South Asians settled around the world. In this article, we first discuss studies evaluating PCAD among South Asians residing in South Asia and among South Asian immigrants in other countries. We then discuss several traditional risk factors that could explain PCAD in South Asians (diabetes, hypertension, dietary factors, obesity) and lipoprotein-associated risk (low HDL-C levels, higher triglycerides, and elevated apolipoprotein B levels). We then discuss several emerging areas of research among South Asians including the role of dysfunctional HDL, elevated lipoprotein(a), genetics, and epigenetics. Although various risk markers and risk factors of CAD have been identified in South Asians, how they impact therapy is not well-known. PCAD is prevalent in the South Asian population. Large-scale studies are needed to identify how this information can be rationally utilized for early identification of risk among South Asians, and how currently available therapies can mitigate this increased risk.

Irritable Bowel Syndrome in Veterans with Gulf War Illness Evaluated at VA's War-Related Illness and Injury Study Center.

INTRODUCTION: Excess rates of Gulf War illness (GWI) and irritable bowel syndrome (IBS), two chronic multisymptom illnesses, have long been documented among nearly 700,000 veterans who served in the 1990-1991 Persian Gulf War. We sought to report the prevalence, characteristics, and association of GWI and IBS decades after the war in a clinical cohort of deployed Gulf War veterans (GWVs) who were evaluated at the Department of Veterans Affairs' War Related Illness and Injury Study Center (WRIISC) for unexplained chronic symptoms. MATERIALS AND METHODS: We analyzed data gathered from clinical intake questionnaires of deployed GWVs who were evaluated at WRIISC clinics between 2008 and 2020. We applied Centers for Disease Control (CDC) criteria to determine the prevalence of severe GWI. IBS was identified using Rome IV diagnostic criteria (current IBS) and veterans' self-reported "history of physician-diagnosed IBS." We examined associations between IBS and GWI using bivariate analyses and multivariable logistic regression. RESULTS: Among the N = 578 GWVs evaluated by the WRIISC, severe GWI (71.8%), history of physician-diagnosed IBS (50.3%) and current IBS (42.2%) were all highly prevalent. Nearly half of GWVs with severe GWI met Rome criteria for IBS (45.8%), and over half reported a history of physician-diagnosed IBS (56.1%). In multivariable models, severe GWI was significantly associated both with current IBS (adjusted odds ratio (aOR): 1.68, 95% CI: 1.11, 2.54) and with veteran-reported history of physician-diagnosed IBS (aOR: 2.15, 95% CI: 1.43, 2.23). IBS with diarrhea (IBS-D) was the most common subtype among GWVs with current IBS (61.1%). However, IBS-mixed affected a significantly greater proportion of veterans with severe GWI, compared to veterans who did not have severe GWI (P = .03). CONCLUSIONS: More than 20 years after the Persian Gulf War, our findings indicate a high degree of comorbidity between severe GWI and IBS among deployed GWVs seeking care for unexplained illnesses. Our results suggest GWVs with GWI should be screened for IBS for which evidence-based treatments are available and could potentially reduce symptom burden. Conversely, symptoms of IBS should trigger additional evaluation for non-gastrointestinal symptoms in deployed Gulf War veterans to identify possible GWI and ensure a comprehensive approach to care.

The Million Veteran Program 1990-1991 Gulf War Era Survey: An Evaluation of Veteran Response, Characteristics, and Representativeness of the Gulf War Era Veteran Population.

To address gaps in understanding the pathophysiology of Gulf War Illness (GWI), the VA Million Veteran Program (MVP) developed and implemented a survey to MVP enrollees who served in the U.S. military during the 1990-1991 Persian Gulf War (GW). Eligible Veterans were invited via mail to complete a survey assessing health conditions as well as GW-specific deployment characteristics and exposures. We evaluated the representativeness of this GW-era cohort relative to the broader population by comparing demographic, military, and health characteristics between respondents and non-respondents, as well as with all GW-era Veterans who have used Veterans Health Administration (VHA) services and the full population of U.S. GW-deployed Veterans. A total of 109,976 MVP GW-era Veterans were invited to participate and 45,270 (41%) returned a completed survey. Respondents were 84% male, 72% White, 8% Hispanic, with a mean age of 61.6 years (SD = 8.5). Respondents were more likely to be older, White, married, better educated, slightly healthier, and have higher socioeconomic status than non-respondents, but reported similar medical conditions and comparable health status. Although generally similar to all GW-era Veterans using VHA services and the full population of U.S. GW Veterans, respondents included higher proportions of women and military officers, and were slightly older. In conclusion, sample characteristics of the MVP GW-era cohort can be considered generally representative of the broader GW-era Veteran population. The sample represents the largest research cohort of GW-era Veterans established to date and provides a uniquely valuable resource for conducting in-depth studies to evaluate health conditions affecting 1990-1991 GW-era Veterans.

Association of Atherosclerotic Cardiovascular Disease, Hypertension, Diabetes, and Hyperlipidemia With Gulf War Illness Among Gulf War Veterans.

BACKGROUND: Approximately 30% of the 700 000 Gulf War veterans report a chronic symptom-based illness of varying severity referred to as Gulf War illness (GWI). Toxic deployment-related exposures have been implicated in the cause of GWI, some of which contribute to metabolic dysregulation and lipid abnormalities. As this cohort ages, the relationship between GWI and atherosclerotic cardiovascular disease (ASCVD) is a growing concern. We evaluated associations between GWI and ASCVD, diabetes, hyperlipidemia, and hypertension in veterans of the Gulf War (1990-1991). METHODS AND RESULTS: Analysis of survey data collected in 2014 to 2016 from a national sample of deployed Gulf War veterans (n=942) and Veterans Health Administration electronic health record data (n=669). Multivariable logistic regression models tested for associations of GWI with self-reported ASCVD, diabetes, hyperlipidemia, and hypertension, controlling for confounding factors. Separate models tested for GWI associations with ASCVD and risk factors documented in the electronic health record. GWI was associated with self-reported hypertension (adjusted odds ratio [aOR], 1.67 [95% CI, 1.18-2.36]), hyperlipidemia (aOR, 1.46 [95% CI, 1.03-2.05]), and ASCVD (aOR, 2.65 [95% CI, 1.56-4.51]). In the subset of veterans with electronic health record data, GWI was associated with documented diabetes (aOR, 2.34 [95% CI, 1.43-3.82]) and hypertension (aOR, 2.84 [95% CI, 1.92-4.20]). Hyperlipidemia and hypertension served as partial mediators of the association between GWI and self-reported ASCVD. CONCLUSIONS: Gulf War veterans with GWI had higher odds of hyperlipidemia, hypertension, diabetes, and ASCVD compared with Gulf War veterans without GWI. Further examination of the mechanisms underlying this association, including a possible shared exposure-related mechanism, is necessary.

Can statins lessen the burden of virus mediated cancers?

BACKGROUND: Oncogenic viruses, including hepatitis B virus (HBV), hepatitis C virus (HCV), human papillomavirus (HPV), Epstein Barr virus (EBV), and Kaposi Sarcoma Herpes virus (KSHV) contribute to a significant proportion of the world's cancers. Given the sizeable burden of virus mediated cancers, development of strategies to prevent and/or treat these cancers is critical. While large population studies suggest that treatment with hydroxymethylglutaryl-CoA reductase inhibitors, commonly known as statins, may reduce the risk of many cancer types including HBV/HCV related hepatocellular carcinoma, few studies have specifically evaluated the impact of statin use in populations at risk for other types of virus mediated cancers. MAIN BODY: Studies of populations with HBV and HCV suggest a protective, dose-dependent effect of statins on hepatocellular carcinoma risk and support the theory that statins may offer clinical benefit if used as chemoprophylactic agents to reduce liver cancer incidence. However, no population level data exists describing the impact of statins on populations with other oncogenic viral infections, such as HPV, EBV, and KSHV. CONCLUSION: Further study of statin use in diverse, global populations with or at high risk for oncogenic viral infections is essential to determine the impact of statin therapy on virus mediated cancer risk.

Association of Gulf War Illness with Characteristics in Deployed vs. Non-Deployed Gulf War Era Veterans in the Cooperative Studies Program 2006/Million Veteran Program 029 Cohort: A Cross-Sectional Analysis.

Gulf War Illness (GWI), a chronic multisymptom illness with a complex and uncertain etiology and pathophysiology, is highly prevalent among veterans deployed to the 1990-1991 GW. We examined how GWI phenotypes varied by demographic and military characteristics among GW-era veterans. Data were from the VA's Cooperative Studies Program 2006/Million Veteran Program (MVP) 029 cohort, Genomics of GWI. From June 2018 to March 2019, 109,976 MVP enrollees (out of a total of over 676,000) were contacted to participate in the 1990-1991 GW-era Survey. Of 109,976 eligible participants, 45,169 (41.1%) responded to the 2018-2019 survey, 35,902 respondents met study inclusion criteria, 13,107 deployed to the GW theater. GWI phenotypes were derived from Kansas (KS) and Centers for Disease Control and Prevention (CDC) GWI definitions: (a) KS Symptoms (KS Sym+), (b) KS GWI (met symptom criteria and without exclusionary health conditions) [KS GWI: Sym+/Dx-], (c) CDC GWI and (d) CDC GWI Severe. The prevalence of each phenotype was 67.1% KS Sym+, 21.5% KS Sym+/Dx-, 81.1% CDC GWI, and 18.6% CDC GWI severe. These findings affirm the persistent presence of GWI among GW veterans providing a foundation for further exploration of biological and environmental underpinnings of this condition.

Association of Gulf War Illness-Related Symptoms with Military Exposures among 1990-1991 Gulf War Veterans Evaluated at the War-Related Illness and Injury Study Center (WRIISC).

Veterans with difficult-to-diagnose conditions who receive care in the Department of Veterans Affairs (VA) healthcare system can be referred for evaluation at one of three specialty VA War-Related Illness and Injury Study Centers (WRIISC). Veterans of the 1990−1991 Gulf War have long experienced excess rates of chronic symptoms associated with the condition known as Gulf War Illness (GWI), with hundreds evaluated at the WRIISC. Here we provide the first report from a cohort of 608 Gulf War Veterans seen at the WRIISC who completed questionnaires on chronic symptoms (>6 months) consistent with GWI as well as prominent exposures during Gulf War deployment. These included veterans' reports of hearing chemical alarms/donning Military-Ordered Protective Posture Level 4 (MOPP4) gear, pesticide use, and use of pyridostigmine bromide (PB) pills as prophylaxis against the effects of nerve agents. Overall, veterans in the cohort were highly symptomatic and reported a high degree of exposures. In multivariable models, these exposures were significantly associated with moderate-to-severe chronic symptoms in neurocognitive/mood, fatigue/sleep, and pain domains. Specifically, exposure to pesticides was associated with problems with concentration and memory, problems sleeping, unrefreshing sleep, and joint pain. Use of MOPP4 was associated with light sensitivity and unrefreshing sleep and use of PB was associated with depression. We also evaluated the association of exposures with symptom summary scores based on veterans' severity of symptoms in four domains and overall. In multivariable modeling, the pain symptom severity score was significantly associated with pesticide use (Odds ratio (OR): 4.13, 95% confidence intervals (CI): 1.78−9.57) and taking PB pills (OR: 2.28, 95% CI: 1.02−5.09), and overall symptom severity was significantly associated with use of PB pills (OR: 2.41, 95% CI: 1.01−5.75). Conclusion: Decades after deployment, Gulf War veterans referred to a VA tertiary evaluation center report a high burden of chronic symptoms, many of which were associated with reported neurotoxicant exposures during the war.

Health care costs associated with primary care physicians versus nurse practitioners and physician assistants.

BACKGROUND: Significant primary care provider (PCP) shortage exists in the United States. Expanding the scope of practice for nurse practitioners (NPs) and physician assistants (PAs) can help alleviate this shortage. The Department of Veterans' Affairs (VA) has been a pioneer in expanding the role of NPs and PAs in primary caregiving. PURPOSE: This study evaluated the health care costs associated with VA patients cared for by NPs and PAs versus primary care physicians (physicians). METHODS: A retrospective data analysis using two separate cohorts of VA patients, one with diabetes and the other with cardiovascular disease (CVD), was performed. The associations between PCP type and health care costs were analyzed using ordinary least square regressions with logarithmically transformed costs. RESULTS: The analyses estimated 12% to 13% (US dollars [USD] 2,626) and 4% to 5% (USD 924) higher costs for patients assigned to physicians as compared with those assigned to NPs and PAs, after adjusting for baseline patient sociodemographics and disease burden, in the diabetes and CVD cohort, respectively. Given the average patient population size of a VA medical center, these cost differences amount to a total difference of USD 14 million/year per center and USD 5 million/year per center for diabetic and CVD patients, respectively. IMPLICATIONS FOR PRACTICE: This study highlights the potential cost savings associated with primary caregiving by NPs and PAs. In light of the PCP shortage, the study supports increased involvement of NPs and PAs in primary caregiving. Future studies examining the reasons for these cost differences by provider type are required to provide more scientific evidence for regulatory decision making in this area.

Shared Decisions: A Qualitative Study on Clinician and Patient Perspectives on Statin Therapy and Statin-Associated Side Effects.

Background Despite guideline recommendations and clinical trial data suggesting benefit, statin therapy use in patients with atherosclerotic cardiovascular disease remains suboptimal. The aim of this study was to understand clinician and patient views on statin therapy, statin-associated side effects (SASEs), SASE management, and communication around statin risks and benefits. Methods and Results We conducted qualitative interviews of patients with atherosclerotic cardiovascular disease who had SASEs (n=17) and clinicians who regularly prescribe statins (n=20). We used directed content analysis, facilitated by Atlas.ti software, to develop and revise codebooks for clinician and patient interviews. The most relevant codes were "pile sorted" into 5 main topic domains: (1) SASEs vary in severity, duration, and time of onset; (2) communication practices by clinicians around statins and SASEs are variable and impacted by clinician time limitations and patient preconceived notions of SASEs; (3) although a "trial and error" approach to managing SASEs may be effective in allowing clinicians to keep patients with atherosclerotic cardiovascular disease on a statin, it can be frustrating for patients; (4) outside sources, such as the media, internet, social networks, and social circles, influence patients' perceptions and often impact the risk benefit discussion; and (5) a decision aid would be beneficial in facilitating clinician decision-making around SASEs and discussion of SASEs with the patients. Conclusions Statin use among patients with atherosclerotic cardiovascular disease remains suboptimal because of various patient- and clinician-related factors. The development of a decision aid to facilitate discussion of SASEs, clinician decision-making, and SASE management may improve statin use in this high-risk population.

Incidence and survival for oropharynx and non-oropharynx head and neck cancers among veterans living with HIV.

BACKGROUND: People living with HIV/AIDS (PLWH) have an excess risk for head and neck squamous cell carcinoma (HNSCC) compared to the general U.S. population, but little is known about HIV-specific risk factors associated with the incidence and outcomes HNSCC. We aim to identify clinical and HIV-specific risk factors associated with oropharyngeal and non-oropharyngeal HNSCC incidence and outcomes separately. METHODS: We constructed a retrospective cohort study of 45,052 PLWH aged 18 or above from the national Veteran Affairs (VA) Corporate Data from 1999 to 2015. We extracted demographic data and risk factor information, including history of alcohol abuse, smoking, CD4 count (cells/µl), and percent of follow-up time with undetectable HIV viral load as time-updated variables. We calculated the age-standardized incidence rates of oropharyngeal and non-oropharyngeal HNSCC and estimated adjusted hazard ratios (HR). We also examined overall survival using Kaplan-Meier curves and adjusted HR. RESULTS: The standardized incidence rate of oropharyngeal and non-oropharyngeal HNSCC in this veteran cohort of PLWH is 23.0 (95% confidence intervals (CIs): 17.1-28.9) and 55.4 (95% CI: 46.5-64.3) per 100,000 person-years, respectively. Nadir CD4 count ≤200 was associated with an increased risk of non-oropharyngeal HNSCC (HR: 1.78; 95% CI: 1.31-2.30 vs >200). Five-year overall survival of OPSCC (37.0%) was significantly lower than non-oropharyngeal HNSCC (49.1%). CONCLUSIONS: PLWH who receive care in the VA had higher age-adjusted HNSCC incidence rates than reported in the general population, suggesting that HIV and immunosuppression play a role. Additional studies should be conducted to study the interaction between HPV and HIV.

Impact of Lipid Monitoring on Treatment Intensification of Cholesterol Lowering Therapies (from the Veterans Affairs Healthcare System).

Treatment guidelines recommend monitoring of lipids to assess efficacy and adherence to lipid lowering therapy. We assessed whether lipid profile monitoring is associated with intensification of cholesterol lowering therapy. Patients from the Veterans Affairs (VA) healthcare system with atherosclerotic cardiovascular disease and at least one primary care visit between October 2013 and September 2014 were included (n = 1,061,753). Treatment intensification was defined as the initiation of a statin, an increase in the intensity or dose of statin therapy and/or the addition of ezetimibe. An association between the number of lipid panels and treatment intensification was assessed with adjusted regression models. During the study period, 87.1% of included patients had ≥1 lipid panel. Patients with ≥1 lipid panel were more likely to undergo treatment intensification compared with individuals with 0 lipid panels (9.3% vs 5.4%, respectively, p <0.001). Among individuals not on statin therapy at the index date (n = 287,636), those with ≥1 lipid panel were more likely to have a statin initiated compared those who without a lipid panel (21.5% vs 8.7%, p <0.001). On regression analysis (odds ratio [OR] [95% confidence interval {CI}]), patients with 1 lipid panel (1.55 [1.50 to 1.59]), 2 to 3 lipid panels (1.76 [1.71 to 1.81]) and >3 lipid panels (3.02 [2.90 to 3.14]) showed greater odds of treatment intensification compared with individuals without a lipid panel. In conclusion, lipid monitoring is associated with higher rates of treatment intensification in patients with atherosclerotic cardiovascular disease. This has important clinical implications as higher intensity regimens with statins and in combination with select nonstatin therapies is associated with improved cardiovascular outcomes.

Association Between Lipid Testing and Statin Adherence in the Veterans Affairs Health System.

BACKGROUND: Measurement with a lipid panel after statin initiation and in long-term follow-up is recommended in both 2013 and 2018 cholesterol guidelines to assess statin efficacy and adherence. We assessed whether routine laboratory evaluation with lipid panels is associated with greater statin adherence. METHODS: We identified patients with atherosclerotic cardiovascular disease within the entire Veterans Affairs (VA) health care system with at least one primary care visit between October 2013 and September 2014, who were on statin therapy (n = 813,887; n = 52,583 for new statin users). Statin adherence was determined using medication refill data and assessed by proportion of days covered (PDC). Association between number of lipid panels completed and PDC was assessed with adjusted regression models. RESULTS: Within the study period, the mean number of lipid panels that were completed per patient was 1.5 ± 1.0. In the overall cohort, percentage of statin users with PDC ≥80% was 66.0% for patients with ≥1 lipid panel and 61.2% for patients with 0 lipid panels (P < .0001). Among new statin users, PDC ≥80% was 68.0% for patients with lipid panels completed within 4-12 weeks of therapy initiation and 59.3% for those without lipid panels completed within the timeframe (P < .0001). In adjusted analysis, number of lipid panels completed was associated with a modest but significant increase in PDC, when PDC was evaluated as a continuous (beta-coefficient 0.0054, P < .001) or categorical (PDC ≥80% [odds ratio (OR) 1.01; 95% confidence interval (CI), 1.00-1.01]) measure of statin adherence. The significant association was also observed in new users (beta-coefficient 0.0058, P < .001; OR 1.02; 95% CI, 1.00-1.03). CONCLUSION: Routine, guideline-directed completion of lipid panels in atherosclerotic cardiovascular disease patients on statins overall and among new statin users is associated with a modes6t but significant increase in statin adherence.

Relation Between Cardiology Follow-Up Visits, Evidence-Based Statin Prescribing, and Statin Adherence (from the Veterans Affairs Health Care System).

Statin use remains suboptimal in patients with atherosclerotic cardiovascular disease (ASCVD). We assessed whether outpatient care with a cardiology provider is associated with evidence-based statin prescription and statin adherence. We identified patients with ASCVD aged ≥18 years receiving primary care in 130 facilities and associated community-based outpatient clinics in the entire Veterans Affairs Health Care System between October 1, 2013 and September 30, 2014. Patients were divided into: (1) patients with at least 1 outpatient cardiology visit and (2) patients with no outpatient cardiology visits in the year before the index primary care visit. We assessed any- and high-intensity statin prescription adjusting for several patient- and facility-level covariates, and statin adherence using proportion of days covered (PDC). We included 1,249,061 patients with ASCVD (mean age: 71.9 years; 98.0% male). After adjusting for covariates, patients who visited a cardiology provider had greater odds of being on a statin (87.4% vs 78.4%; Odds ratio [OR] 1.25, 95% Confidence interval [CI] 1.24 to 1.26), high-intensity statin (34.5% vs 21.2%; OR: 1.21, 95% CI 1.21 to 1.22), and higher statin adherence (mean PDC 0.76 ± 0.29 vs 0.70 ± 0.34, PDC ≥0.8: 62.0% vs 57.3%; OR 1.09, 95% CI 1.09 to 1.11). A dose response relation was seen with a higher number of cardiology visits associated with a higher statin use and statin adherence. In conclusion, compared with outpatient care delivered by primary care providers alone, care delivered by a cardiology provider for patients with ASCVD is associated with a higher likelihood of guideline-based statin use and statin adherence.

The use of structured data elements to identify ASCVD patients with statin-associated side effects: Insights from the Department of Veterans Affairs.

BACKGROUND: Accurate identification of patients with statin-associated side effects (SASEs) is critical for health care systems to institute strategies to improve guideline-concordant statin use. OBJECTIVE: The objective of this study was to determine whether adverse drug reaction (ADR) entry by clinicians in the electronic medical record can accurately identify SASEs. METHODS: We identified 1,248,214 atherosclerotic cardiovascular disease (ASCVD) patients seeking care in the Department of Veterans Affairs. Using an ADR data repository, we identified SASEs in 15 major symptom categories. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were assessed using a chart review of 256 ASCVD patients with identified SASEs, who were not on high-intensity statin therapy. RESULTS: We identified 171,189 patients (13.71%) with documented SASEs over a 15-year period (9.9%, 2.7%, and 1.1% to 1, 2, or >2 statins, respectively). Statin use, high-intensity statin use, low-density lipoprotein cholesterol, and non-high-density lipoprotein cholesterol levels were 72%, 28.1%, 99 mg/dL, and 129 mg/dL among those with vs 81%, 31.1%, 84 mg/dL, and 111 mg/dL among those without SASEs. Progressively lower statin and high-intensity statin use, and higher low-density lipoprotein cholesterol and non-high-density lipoprotein cholesterol levels were noted among those with SASEs to 1, 2, or >2 statins. Two-thirds of SASEs were related to muscle symptoms. Sensitivity, specificity, PPV, NPV compared with manual chart review were 63.4%, 100%, 100%, and 85.3%, respectively. CONCLUSION: A strategy of using ADR entry in the electronic medical record is feasible to identify SASEs with modest sensitivity and NPV but high specificity and PPV. Health care systems can use this strategy to identify ASCVD patients with SASEs and operationalize efforts to improve guideline-concordant lipid-lowering therapy use in such patients. The sensitivity of this approach can be further enhanced by the use of unstructured text data.

Facility-Level Variations in Kidney Disease Care among Veterans with Diabetes and CKD.

BACKGROUND AND OBJECTIVES: Facility-level variation has been reported among veterans receiving care for various diseases. We studied the frequency and facility-level variations of guideline-recommended practices in patients with diabetes and CKD. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Patients with diabetes and concomitant CKD (eGFR 15-59 ml/min per 1.73 m2, measured twice, 90 days apart) receiving care in 130 facilities across the Veterans Affairs Health Care System were included (n=281,223). We studied the proportions of patients (facility-level) receiving recommended core measures and facility-level variations of these study outcomes using median rate ratios, adjusting for various patient and provider-level factors. Median rate ratio quantifies the degree to which care may vary for similar patients receiving care at two randomly chosen facilities, with <1 being no variation and >1.2 as substantial variation between the facilities. Study outcomes included measurement of urine albumin-to-creatinine ratio/urine protein-to-creatinine ratio and blood hemoglobin concentration, prescription of statins and angiotensin-converting enzyme inhibitors/angiotensin receptor blockers, BP<140/90 mm Hg, and referral to a Veterans Affairs nephrologist (only for those with eGFR<30 ml/min per 1.73 m2). RESULTS: Among those with eGFR 30-59 ml/min per 1.73 m2, proportion of patients receiving recommended core measures (median and interquartile range across facilities) were 37% (22%-47%) for urine albumin-to-creatinine ratio/urine protein-to-creatinine ratio, 74% (72%-79%) for hemoglobin measurement, 66% (62%-69%) for angiotensin-converting enzyme inhibitor/angiotensin receptor blocker prescription, 85% (74%-87%) for statin prescription, 47% (42%-53%) for achieving BP<140/90 mm Hg, and 13% (7%-16%) for meeting all outcome measures. Adjusted median rate ratios (95% confidence intervals) were 5.2 (4.1 to 6.4), 2.4 (2.1 to 2.6), 1.3 (1.2 to 1.3), 1.2 (1.2 to 1.3), 1.4 (1.3 to 1.4), and 4.1 (3.3 to 5.0), respectively. Median rate ratios were qualitatively similar in an analysis restricted to those with eGFR 15-29 ml/min per 1.73 m2. CONCLUSIONS: Among patients with diabetes and CKD, at facility-level, ordering of laboratory tests, and scheduling of nephrology referrals in eligible patients remains suboptimal, with substantial variations across facilities.

Facility-level variation in diabetes and blood pressure control in patients with diabetes: Findings from the Veterans Affairs national database.

BACKGROUND: Intensive glycemic and blood pressure (BP) control in diabetic patients is associated with improved cardiovascular outcomes. HYPOTHESIS: We hypothesized that there is suboptimal glycemic and BP control with significant facility-level variation in patients with diabetes. METHODS: We identified patients with diabetes receiving care in 130 facilities in the Veterans Affairs Health Care System. We assessed facility-level rates of glycemic (hemoglobin [Hb]A1c <7%), BP (BP <140/90 mmHg), and combined glycemic and BP control (HbA1c <7% and BP <140/90 mmHg), and their facility-level variation in using median rate ratios (MRR). RESULTS: Among 1 103 302 patients with diabetes, 50.2% participants had an HbA1c <7%, 77.5% had a BP <140/90 mmHg, and 39.8% had both, HbA1c <7% and BP <140/90 mmHg. Median facility-level rates were 50.3% (interquartile range [IQR], 47.9%-52.4%) for glycemic control, 78.4% (IQR, 75.2%-80.0%) for BP control, and 39.9% (IQR, 38.14%-42.34%) for combined glycemic and BP control. Unadjusted MRR for glycemic control was 1.61 (95% confidence interval [CI]: 1.51-1.70) which decreased to 1.16 (95% CI: 1.14-1.19) after adjusting for patient and facility-level variables, indicating a 16% variation in glycemic control between 2 identical patients receiving care at 2 random facilities. Unadjusted MRR for BP control was 1.49 (95% CI: 1.41-1.56), which decreased to 1.25 (95% CI: 1.21-1.28), whereas unadjusted MRR for combined glycemic and BP control was 1.59 (95% CI: 1.50-1.68), which decreased to 1.15 (95% CI: 1.13-1.17) after adjustment. CONCLUSIONS: Facility-level rates for BP control and glycemic control remain low with significant facility-level variation. Much of this is explained by patient and facility-level variables although 16%, 25%, and 15% variation in glycemic, BP, and combined glycemic and BP control remains unexplained.