Citations

Objective: Time in the therapeutic range (TTR) of INR 2.0-3.0 is an important measurement of warfarin anticoagulation quality. There are few reports on TTR in United States (US) clinical practice. Methods: Using the US ORBIT AF registry, we analyzed TTR for patients on warfarin with at least 5 recorded INR measurements. The Rosendaal method of linear interpolation was used between each pair of measured INR values. Patients were stratified into quartiles based on TTR. Results: We studied 5,451 patients treated at 169 US sites with 48% of patients being followed at an anticoagulation clinic. Patients had a median age of 76 years [interquartile range (IQR) 68-82 years] and median follow-up was 18.9 months [IQR 12.7-23.3 months], and patients were 42% women. The median number of INR draws was 21 [IQR 12-30]. Patients had an overall median TTR of 68% [IQR 52-80%]. The median TTR by quartile was 40%, 60%, 73%, and 87%. Patients were more likely to be subtherapeutic (median time of 17%) than supratherapeutic (median time of 10%). Patients age 61-80 years and those with a college education had the highest TTRs. Patients with their INR followed at an anticoagulation clinic were more likely to be in the highest TTR quartile than in the lowest (27% vs 23%, p=0.0002). Patients with worsening renal function and higher risk for bleeding (ATRIA) or stroke (CHADS2 score) had lower TTR (p<0.0001 for all) (Figure). Conclusions: In US clinical practices, warfarin patients have therapeutic INR levels about 2/3 of the time. Those at highest risk for stroke and bleeding paradoxically were the least likely to be in the therapeutic range.

Background Oral anticoagulation (OAC) can reduce stroke risk at the cost of increased bleeding risk in those with atrial fibrillation (AF). Observational data have shown that higher-risk patients with AF most likely to benefit from OAC are less likely to receive OAC at hospital discharge. Methods We used data from ORBIT-AF Registry, a cohort of 9,589 AF patients enrolled among 173 participating outpatient practices. OAC was defined as warfarin or dabigatran use at study enrollment. Stroke and bleeding risk were calculated using the CHADS2 and ATRIA scores, respectively. Results The study population had a mean age of 73.5 years; 57.8% were men. Overall, 76.4% of patients received OAC. Use of OAC rose with increasing CHADS2 stroke risk, from 67% for CHADS2 <1 to 80% for CHADS2 ≥2 (p<0.0001). OAC use fell slightly with increasing ATRIA bleeding risk, from 77% for ATRIA score ≤3 to 74% with ≥5 (p=0.002 for trend). Among patients with low bleeding risk, rates of OAC increased commensurate with stroke risk (p<0.0001 for interaction; see figure). Higher bleeding risk tended to decrease rates of OAC among patients with a CHADS2 score ≥2 (p=0.13 for interaction). Conclusions In community-based outpatients with AF, use of OAC rose with increasing thromboembolic risk and declined with higher bleeding risk. These findings suggest that the risk-treatment paradox may be less that previously reported. Provision of OAC in community practice appears to appropriately consider patients' stroke and bleeding risks. Further research is required to understand how quality improvement initiatives can further improve stroke prevention.

Background: Patients with sinus node dysfunction (SND) are at increased risk of atrial tachyarrhythmias, including atrial fibrillation (AF). Whether the presence of SND is also associated with worse outcomes among those with AF has not been well described. Methods: The ORBIT-AF registry enrolled patients with AF from a range of clinical practices across the US. SND was defined clinically, based on the presence of sinus bradycardia, severe sinus bradycardia, sinus arrest, sinoatrial exit block, or features of tachycardia-bradycardia syndrome. Descriptive statistics and multivariable logistic regression analysis were used to describe treatment patterns and outcomes for patients with and without SND and AF. Results: Overall, 1,710 (17.7%) patients had SND at enrollment. Patients with SND had lower left-ventricular ejection fractions, higher CHA 2 DS 2 -VASc risk scores, and more prior cerebrovascular events. Patients with SND had more severe symptoms (EHRA class IV: 17.5% vs. 13.9%; p=0.007) and poorer quality of life (median AFEQT 77.5 vs. 81.1; p=0.008) as compared to those without. SND patients were more frequently treated with oral anticoagulants (79.2% vs. 75.9%, p=0.004) and had more often received interventional therapy for AF (16.1% vs. 10.5%, p<0.0001). There were no differences in the current AF management strategy between patients with SND and those without [rate control (69.7% vs. 67.7%), rhythm control (30.0% vs. 32.0%); P=0.11]. After adjustment, significantly more patients with SND had progressed from paroxysmal AF at baseline to persistent or permanent AF at any follow-up or persistent AF at baseline to permanent AF at any follow-up than those without (OR 1.23, 95% CI 1.01-1.49, p=0.035). Conclusion: Sinus node dysfunction is associated worse symptoms, lower quality of life, and higher risk of progression to permanent AF. However, SND is not associated with increased risk of all-cause hospitalization, incident stroke, or all-cause death.

Introduction: The relative performance of carotid artery stenting (CAS) and carotid endarterectomy (CEA) among Medicare beneficiaries in routine clinical practice has not been established. Objective: To compare the performance of CAS relative to CEA among Medicare beneficiaries. Methods: We linked Medicare data (2000-2009) to the Society for Vascular Surgery’s Vascular Registry (SVS-VR; 2005-2008) and to the NCDR® Carotid Artery Revascularization and Endarterectomy Registry (CARE; 2006-2008/9). Medicare patients aged ≥66 years undergoing CAS or CEA were followed from the procedure date for the outcomes of death, stroke/transient ischemic attack (TIA), peri-procedural myocardial infarction (MI) or a composite endpoint for these outcomes. We derived high-dimensional propensity scores using registry and Medicare data to control for patient-level factors and adjusted for provider-level factors including past-year CAS/CEA physician and hospital volume, hospital ownership, teaching affiliation, and hospital size in a Cox regression model comparing CAS to CEA. Results: Among 5,254 SVS-VR (1,999 CAS and 3,255 CEA) and 4,055 CARE (2,824 CAS and 1,231 CEA) patients, CAS patients were more often at higher surgical risk (SVS-VR: 96.7% vs. 44.5%; CARE: 71.3% vs. 44.7%) and had a higher comorbidity burden. Crude outcome risks for death and stroke/TIA were lower for CEA. Adjusting for patient-level factors drove estimates downwards for CAS relative to CEA but only after further adjustment for provider-level factors did the performance of CAS and CEA become comparable on all outcomes (figure 1). Conclusion: Performance of CAS and CEA among Medicare beneficiaries was comparable after accounting for patient- and provider-level factors, which is consistent with landmark trials. Further studies are needed to understand the role of heterogeneity in provider-level characteristics.

Background: The Trans-Omics for Precision Medicine (TOPMed) program is performing whole-genome sequencing across multiple studies, including longitudinal cohorts, case-control, and case-only sample sets. Detecting the effects of low frequency variants requires large sample sizes, which can only be achieved by combining data across diverse study designs, including matching of case-only sample sets with controls from other studies. Here we present a strategy for combined analysis of venous thromboembolism (VTE) case status in 3 longitudinal cohorts and 3 case-only sample sets, in the context of whole-genome association studies. Methods: For each cohort study, we sampled ‘pure’ controls (without replacement) from the risk set of each incident case, within strata defined by sex, ancestry and birth-cohort. Pure controls had no event throughout their period of observation. A case’s risk set was defined as controls with no prior VTE history and under observation through an age at least as old as the case. For case-only sample sets, controls for each case were sampled from a cohort study, using the same risk set definition. Because of limited overlap in birth years between the cohort studies and the case-only sample sets, this matching was done within strata defined only by sex and ancestry group. Mixed model logistic regression will be used to account for relatedness as a random effect. Although conditional logistic regression is not practical for whole-genome association studies, case-control matching is implicitly recognized by a fixed effect for age-at-event for each matched set (1 case and >=1 matched controls). Additional fixed effects will include sample set and sex. We will also adjust for variations in case-control ratio among the matched sets. Results: In two cohort studies, we matched 1,231 cases to 4,820 controls (overall ratio = 1:3.9); only 500 controls and 5 cases could not be matched. For the case-only sample sets we matched 2,141 cases to 2,780 controls from one cohort study (overall ratio = 1:1.3); zero controls and only 14 cases could not be matched. Conclusions: We were successfully able to match nearly all cases to controls, and more than 90% of controls were also matched. By matching controls to cases based on age at event, we can account for the different risk of VTE by age clusters. Although this strategy does not provide an asymptotically unbiased estimated of the hazard ratio, compared to classical risk set sampling, it uses a large portion of the available data, it provides odds ratio estimates yielding the correct sign of association, and it reduces the potential influence of resampling subjects with rare variants. This strategy also enables combined analysis of multiple studies with different designs.

Abstract Background: Prostate cancer is the most common cancer among men. Monitoring of patient-reported outcomes (PROs) can enhance provider-patient communication, promote better decision-making, and improve survival. Geospatial factors, namely rurality and neighborhood socioeconomic deprivation, could influence the experience across cancer treatment, thus impacting PROs and survival. This study examined associations of rurality, neighborhood socioeconomic deprivation (Area Deprivation Index [ADI]) with cancer treatment-related PROs and survival in men with prostate cancer. Methods: Data from men with prostate cancer in the trial NRG Oncology/RTOG 0415 were analyzed. In this trial, 1092 men were randomized to receive conventional radiotherapy (RT) or hypofractionated RT. Patients had Gleason scores of 2-6 and prostate-specific antigen of &lt;10 ng/mL. Rurality was categorized as urban vs rural using Rural-Urban Continuum Codes via patient zip codes. Neighborhood socioeconomic deprivation was assessed by the ADI calculated via the American Community Survey by patient zip codes. The Expanded Prostate Cancer Index Composite (EPIC) measures cancer-specific quality of life (QOL); Hopkins Symptom Checklist measures anxiety and depression; EuroQoL-5 Dimension (EQ-5D) VAS and Index scores assess general health. All PROs were measured at baseline before and 6, 12, 24 and 60 months after RT. Overall survival (OS) and disease-free survival (DFS) were assessed using Cox proportional hazards models. Mixed effects models and generalized estimating equations were used to analyze PROs. Results: We analyzed 751 patients with complete data. Patients from the ADI 25% most deprived neighborhoods (vs. the other 75% of neighborhoods) were more likely to be non-white, unmarried and from rural areas. At baseline, patients from the most deprived areas had worse EPIC bowel score (P=0.011), worse sexual score (P=0.042) and worse hormonal score (P=0.015); patients from the most deprived areas had worse self-care (P=0.04) and more pain (P=0.047). Patients from rural areas had worse EPIC urinary score (P=0.03) and sexual score (P=0.003). Longitudinal analyses showed that ADI 25% most deprived areas (β=4.05, P=0.001) and rural areas (β=-5.70, P=0.003) were associated with worse EQ-5D VAS score. Compared to the 75% less deprived neighborhoods and urban, the ADI 25% most deprived neighborhoods and rural areas respectively had 47% (HR=1.466, P=0.033) and 93% (HR=1.925, P=0.026) relative increase in risk of recurrence or death (DFS). No differences were seen in OS. Conclusions: Patients with prostate cancer from the most deprived neighborhoods and rural areas had low QOL at baseline, poor general health and DFS. Interventions should target populations from socioeconomic deprived neighborhoods and rural areas to improve patient access to supportive care services and DFS. Citation Format: Jinbing Bai, Stephanie L. Pugh, Ronald Eldridge, Katherine Yeager, Qi Zhang, W Robert Lee, Amit B. Shah, Ian S. Dayes, David P. D'Souza, Jeff M. Michalski, Jason A. Efstathiou, John M. Longo, Thomas M. Pisansky, Jordan M. Maier, Sergio L. Faria, Anand B. Desai, Samantha A. Seaward, Howard M. Sandler, Mary E. Cooley, Deborah W. Bruner. Rurality and neighborhood socioeconomic deprivation associated with patient-reported outcomes andsurvivalin men with prostate cancer in NRG RTOG 0415 [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 2528.

Baseline Differences in Risk Factor Control and Medication Use Between 2 Trials Employing Intensive Medical Management (SAMMPRIS & CREST2) Background: The CREST2 trial Intensive Medical Management (IMM) protocol was adapted from the SAMMPRIS trial. However, since the 2011 publication of initial results of SAMMPRIS, there has been a greater appreciation for the importance of risk factor control in patients at risk of stroke associated with atherosclerosis. Therefore, we sought to determine differences in baseline risk factor control and medication use between SAMMPRIS and CREST2. Methods: Baseline risk factor and medication use data from 451 patients enrolled in SAMMPRIS (2008-2011) with severe symptomatic intracranial atherosclerosis and 1473 patients enrolled in CREST2 (2014-2019) with severe asymptomatic carotid stenosis were compared using the Chi-square test and t-test. Results: The Table shows baseline risk factor values and medications. SAMMPRIS patients were younger but had significantly worse risk factor control than CREST2 patients for all measures. There was no significant difference in statin use at baseline, but the mean SAMMPRIS subjects’ LDL was 16.1 mg/dL higher than in CREST2. CREST2 patients had higher rates of use of angiotensin receptor blockers (ARB), calcium channel blockers (CCB), and thiazides, but lower rates of use of angiotensin converting enzyme (ACE) inhibitors. Conclusions: Despite being older, CREST2 patients have significantly better baseline risk factor profiles than SAMMPRIS patients. This could be due to greater appreciation of the importance of risk factor control and healthy lifestyle habits for stroke prevention or more aggressive treatment targets in guideline recommendations. Although risk factor control appears to be improving since SAMMPRIS, many CREST2 patients are still not meeting recommended risk factor goals at baseline and may benefit from IMM protocols.

Objective: Diabetes is a common among patients with atrial fibrillation (AF). However, little is known on the impact of diabetes on symptoms, health status, care and outcomes among AF patients. We assessed whether symptoms, health status, care and outcomes differ between AF patients with and without diabetes. Methods: This observational cohort study included 9,749 patients with AF from the Outcomes Registry for Better Informed Treatment of Atrial Fibrillation registry, a prospective, nationwide, multicenter outpatient registry of patients with incident and prevalent AF enrolled at 174 sites between June 2010 and August 2011. The outcomes were symptoms, health status, and AF treatment, as well as 2-year risks of death, readmission, thrombomebolic events, heart failure (HF) and AF progression. Results: Among AF patients; those with diabetes (29.5%) were younger and more likely to have hypertension, chronic kidney disease, HF, coronary heart disease, and stroke. Patients with diabetes had a lower Atrial Fibrillation Effects on Quality of Life score (80.6 [IQR: 62.5 - 92.6] vs. 82.4 [IQR: 67.6 -93.5]; P = 0.025), but a higher CHA 2 DS 2 -VASc score (5 [IQR: 4 - 6] vs. 4 [2 - 5]; P <0.0001) and were more likely to receive anticoagulation ( P <0.001). Diabetes was associated with higher mortality, with a greater overall (adjusted hazard ratio [aHR]: 1.63 [95% CI: 1.04-2.56] for age<70 vs. 1.25 [1.09-1.44] for age ≥70) and cardiovascular (2.20 [1.22-3.98] for age<70 vs. 1.24 [1.02-1.51] for age ≥70) mortality risks before age 70 years. Diabetes conferred a higher risk of non-cardiovascular (CV) death (1.29 [1.06-1.56]), sudden cardiac death (1.53 [1.04-2.26]), hospitalization (1.15 [1.09-1.22]), CV hospitalization (1.13 [1.05-1.22]) and non-CV and non-bleeding-related hospitalization (1.19 [1.10-1.30]); but no increase in risks of thromboembolic events, bleeding related hospitalization, new-onset HF, and AF progression. The use of oral anticoagulants (OAC) modifies the relation of diabetes and all-cause hospitalization, with a higher risk among those on OAC (1.21 [1.12-1.29]). Conclusions: Among patients with AF, diabetes was associated with worse AF symptoms and lower quality of life, as well an increased risk of death and hospitalizations, but not with the risk of thromboembolic or bleeding events.

The objective of this study was to define a role for chemokine generation by parenchymal cells versus circulating inflammatory cells in the initiation of renal damage in the 2K1C model of renovascular hypertension. 129 SV mice were subjected to renal artery stenosis (RAS) by placement of a polytetraethylene cuff on the right renal artery. Systolic blood pressure increased within 2 days of surgery. The cuffed kidney developed tubular atrophy, whereas the contralateral kidney developed compensatory enlargement. Immunohistochemical staining of the cuffed kidney revealed less than 2 CD3+ T cells per 200x field, and rare F4/80+ macrophages or CD20+ B cells in the first 2 weeks following RAS, with progressive increases in macrophages and T cells throughout the 6‐week observation period. Despite the relative paucity of infiltrating inflammatory cells, there was a dramatic increase in chemokine generation within the first week following RAS, as assessed by qPCR analysis of renal cortical homogenates, with 25‐fold induction of MCP‐1, 47‐fold induction of RANTES, and 15‐fold induction of MIP‐2. Chemokine generation continued to increase throughout the 6 weeks, during which circulating inflammatory cells infiltrated the cuffed kidney. Increased expression of MCP‐1 was detected in tubular epithelial cells within 1 week of RAS. We conclude that chemokine generation precedes inflammatory cell influx in RAS.

Abstract Background Smoking is associated with colorectal cancer (CRC) risk. Previous studies suggested this association may be restricted to certain molecular subtypes of CRC, but large-scale comprehensive analysis is lacking. Methods A total of 9789 CRC cases and 11 231 controls of European ancestry from 11 observational studies were included. We harmonized smoking variables across studies and derived sex study–specific quartiles of pack-years of smoking for analysis. Four somatic colorectal tumor markers were assessed individually and in combination, including BRAF mutation, KRAS mutation, CpG island methylator phenotype (CIMP), and microsatellite instability (MSI) status. A multinomial logistic regression analysis was used to assess the association between smoking and risk of CRC subtypes by molecular characteristics, adjusting for age, sex, and study. All statistical tests were 2-sided and adjusted for Bonferroni correction. Results Heavier smoking was associated with higher risk of CRC overall and stratified by individual markers (Ptrend &lt; .001). The associations differed statistically significantly between all molecular subtypes, which was the most statistically significant for CIMP and BRAF. Compared with never-smokers, smokers in the fourth quartile of pack-years had a 90% higher risk of CIMP-positive CRC (odds ratio = 1.90, 95% confidence interval = 1.60 to 2.26) but only 35% higher risk for CIMP-negative CRC (odds ratio = 1.35, 95% confidence interval = 1.22 to 1.49; Pdifference = 2.1 x 10-6). The association was also stronger in tumors that were CIMP positive, MSI high, or KRAS wild type when combined (Pdifference &lt; .001). Conclusion Smoking was associated with differential risk of CRC subtypes defined by molecular characteristics. Heavier smokers had particularly higher risk of CRC subtypes that were CIMP positive and MSI high in combination, suggesting that smoking may be involved in the development of colorectal tumors via the serrated pathway.